Dataset

Pubertal Development

Pubertal Development was assessed through questions about breast growth, menstruation, shaving, deepening of the voice, and growth spurts.

In NTR projects YC_DSC and YC_ADHMRI, pubertal development was assessed via mother-ratings obtained via a telephone interview, and in NTR project YC_FITNSS, via an interview.

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Keywords	puberty tanner hair growth menstruation secondary sexual characteristics breast growth voice deepening growth spurt physical characteristics physical appearance
Constructs	physiology
Waves	Young Netherlands Twin Register YS_1 MM 0 months - 12 months From 1987-01-01 (ongoing) YS_DHBQP CC SS 14.0 - 18.0 years From 2004-01-01 to 2004-01-01 YS_DHBQ14 CC SS 14.0 years From 2005-01-01 to 2013-01-01 YS_DHBQ16 CC SS 16.0 years From 2005-01-01 to 2013-01-01 YS_DHBQ18 CC SS 18.0 years From 2005-01-01 to 2006-01-01 YC_ACTION BB1_1 PC 10.0 - 13.0 years From 2014-01-01 to 2015-01-01 YC_ACTION BB1_2 PC 10.0 - 13.0 years From 2014-01-01 to 2015-01-01 YC_ACTION BB2 PC 6.0 - 11.0 years From 2015-01-01 to 2015-01-01 YC_ACTION - BB3 PC 6.0 - 13.0 years From 2016-01-01 to 2017-01-01 YC_BS1 CC SS 9.0 years From 2005-01-01 to 2005-01-01 YC_BS2 CC SS 12.0 years From 2007-01-01 to 2009-01-01 YC_BS3 CC SS 17.0 years From 2012-01-01 to 2014-01-01 YC_DSC MC 10.0 - 13.0 years From 2002-01-01 to 2005-01-01 YE_FITNSS CC SS 16.0 - 18.0 years From 2012-01-01 to 2014-01-01 YC_ADHMRI MC 15.0 years From 2003-01-01 to 2007-01-01 YE_COG18 MM CC SS PC PS 18.0 years From 2004-01-01 to 2006-01-01 YS_TRIP age 1-2 MM 24 months - 38.0 years From 2008-01-01 (ongoing)
Mode of collection	SelfAdministeredQuestionnaire
Analysis unit	Individual

Purpose	The research carried out by the Netherlands Twin Register focuses on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.
description
Alternate title	NTR
Data access information	Researchers with an approved data sharing request who abide by the rules of the European General Data Protection Regulation can receive temporary access to the NTR data for their own research projects. https://ntr-data-request.psy.vu.nl/
Publisher	Vrije Universiteit Amsterdam
Principal investigators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Cohort study international identifier
Language	NL
Funding information	Dutch Research Council 480-15-001/674 Funder identifier https://ror.org/04jsz6e67 Funder identifier type ROR Funder identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 575-25-006 Funder identifier https://ror.org/04jsz6e67 Funder identifier type ROR Funder identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 480-04-004 Funder identifier https://ror.org/04jsz6e67 Funder identifier type ROR Funder identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 911-09-032 Funder identifier https://ror.org/04jsz6e67 Funder identifier type ROR Funder identifier type URI https://ror.org/ Funder award title Funder award URI
Contact information	NTR Data Management Vrije Universiteit Amsterdam ntr.datamanagement.fgb@vu.nl
References	Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420. Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212. van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620. Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148. Bartels M, van Beijsterveldt CE, Derks EM, Stroet TM, Polderman TJ, Hudziak JJ, Boomsma DI. Young Netherlands Twin Register (Y-NTR): a longitudinal multiple informant study of problem behavior. Twin Res Hum Genet. 2007 Feb;10(1):3-11. doi: 10.1375/twin.10.1.3.PMID: 17539360. Boomsma DI, Orlebeke JF, van Baal GC.Behav Genet. The Dutch Twin Register: growth data on weight and height. 1992 Mar;22(2):247-51. doi: 10.1007/BF01067004 Franić S, Dolan CV, van Beijsterveldt CE, Hulshoff Pol HE, Bartels M, Boomsma DI. Genetic and environmental stability of intelligence in childhood and adolescence. Twin Res Hum Genet. 2014 Jun;17(3):151-63. doi: 10.1017/thg.2014.
Additional info (URL)
Additional information
Contributors	YNTR administration Vrije Universiteit Amsterdam
Time method	Longitudinal
Universe	The recruitment into the NTR is fully inclusive without any restrictions on enrolment. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR).

Alternate title	YNTR
Description	The Young Netherlands Twin Register (YNTR) consists of projects within the Netherlands Twin Register (NTR) that involve families with twins or other multiples under the age of 18.
Purpose	The purpose of the projects within the Young Netherlands Twin Register focus on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Language	NL
Cohort international identifier
Funding information	Dutch Research Council 480-15-001/674 Funder identifier https://ror.org/04jsz6e67 ROR Identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 575-25-006 Funder identifier https://ror.org/04jsz6e67 ROR Identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 480-04-004 Funder identifier https://ror.org/04jsz6e67 ROR Identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 911-09-032 Funder identifier https://ror.org/04jsz6e67 ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
Cohort reference papers
Classification
Contact information
Waves
Contributors	YNTR administration Vrije Universiteit Amsterdam
References	Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420. Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212. van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620. Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148.
Country code	NL
Geographic location
Lowest geographic reference	postal code
Highest geographic reference	country
Cohort universe description	Families with twins or other multiples under the age of 18.
Analysis unit
Additional info (URL)
Additional information
Time method	Longitudinal.CohortEventBased

Wave alternate title	YNTR survey age 1 YS_1
Short description of the wave	After registration of newborn twins, which is before the age of 12 months for 89% of the twins (mean age = 0.8 years, SD = 1.17 years), the mother of a twin pair receives the first survey which focuses on conception (spontaneous or otherwise), information from parents themselves (demographics, height, weight), pregnancy (e.g. duration, smoking and drinking behaviors of both parents during pregnancy), birth and health (malformations) of the children shortly after birth. The mother is asked to fill in this survey, and this was done by the biological mother for almost all of surveys with others (stepmother, adoptive mother, some fathers) completing this survey in a small number of families (<0.05%).
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information
References
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	1987-01-01
End date wave collection
Wave universe description	0 months - 12 months
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys (up to 2012) have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	YNTR administration Vrije Universiteit Amsterdam

Wave alternate title	Dutch Health and Behavior Questionnaire - pilot YS_DHBQP
Short description of the wave	In this pilot project, the Dutch Health and Behavior Questionnaire (DHBQ) was developed at the department of Biological Psychology of the VU University. It is a collection of standardized questions targeting multiple domains. The focus of the survey is on emotional and behavioral problems assessed by the Youth Self-Report (YSR), subjective wellbeing, lifestyle, exercise behavior, sedentary behavior, and family functioning. The pilot was sent to 14-, 16-, and 18-year old twins (mean age = 16.6 years, SD = 0.60 years) born between 1993 and 1990 and their 12-25 year old siblings (mean age = 17.5 years, SD = 3.08 years) born between 1981 and 1991.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	463-06-001 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
References	van der Aa, N. (2011). Causes of variation in adolescent wellbeing. https://research.vu.nl/en/publications/causes-of-variation-in-adolescent-wellbeing. ISBN: 978-94-6169-009-8. Huppertz, C. (2016). How voluntary exercise behavior runs in families: Twin studies and beyond. https://research.vu.nl/en/publications/how-voluntary-exercise-behavior-runs-in-families-twin-studies-and. ISBN: 978-94-6299-314-3.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2004-01-01
End date wave collection	2004-01-01
Wave universe description	14.0 - 18.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	YNTR administration Vrije Universiteit Amsterdam Slof-Op 't Landt, Margarita C.T. Leiden University Medical Center

Wave alternate title	Dutch Health and Behavior Questionnaire - age 14 YS_DHBQ14
Short description of the wave	The Dutch Health and Behavior Questionnaire (DHBQ) was developed at the department of Biological Psychology of the VU University. It is a collection of standardized questions targeting multiple domains. The focus of the survey is on emotional and behavioral problems assessed by the Youth Self-Report (YSR), subjective wellbeing, lifestyle, exercise behavior, sedentary behavior, and family functioning. The YS_DHBQ14 project targeted 14-year old twins or triplets (mean age = 14.6 years, SD = 0.65 years) born between 1989 and 1999 and their 12-25 year old siblings (mean = 17.3 years, SD = 2.55 years) born between 1981 and 2001.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	463-06-001 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
References	van der Aa, N. (2011). Causes of variation in adolescent wellbeing. https://research.vu.nl/en/publications/causes-of-variation-in-adolescent-wellbeing. ISBN: 978-94-6169-009-8. Huppertz, C. (2016). How voluntary exercise behavior runs in families: Twin studies and beyond. https://research.vu.nl/en/publications/how-voluntary-exercise-behavior-runs-in-families-twin-studies-and. ISBN: 978-94-6299-314-3.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2005-01-01
End date wave collection	2013-01-01
Wave universe description	14.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys (up to 2009) have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	YNTR administration Vrije Universiteit Amsterdam van der Aa, Niels Vrije Universiteit Amsterdam Huppertz, Charlotte Vrije Universiteit Amsterdam

Wave alternate title	Dutch Health and Behavior Questionnaire - age 16 YS_DHBQ16
Short description of the wave	The Dutch Health and Behavior Questionnaire (DHBQ) was developed at the department of Biological Psychology of the VU University. It is a collection of standardized questions targeting multiple domains. The focus of the survey is on emotional and behavioral problems assessed by the Youth Self-Report (YSR), subjective wellbeing, lifestyle, exercise behavior, sedentary behavior, and family functioning. From 2007, the survey includes the NEO Five Factor Inventory (NEO-FFI) and removed items regarding religion, stuttering, type of transportation to school, and hair/eye color. The YS_DHBQ16 project targeted 16-year old twins or triplets (mean age = 16.9 years, SD = 0.55 years) born between 1987 and 1999 and their 12-25 year old siblings (mean age = 18.5 years, SD = 3.34 years) born between 1981 and 2000.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	463-06-001 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
References	van der Aa, N. (2011). Causes of variation in adolescent wellbeing. https://research.vu.nl/en/publications/causes-of-variation-in-adolescent-wellbeing. ISBN: 978-94-6169-009-8. Huppertz, C. (2016). How voluntary exercise behavior runs in families: Twin studies and beyond. https://research.vu.nl/en/publications/how-voluntary-exercise-behavior-runs-in-families-twin-studies-and. ISBN: 978-94-6299-314-3.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2005-01-01
End date wave collection	2013-01-01
Wave universe description	16.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys (up to 2009) have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	YNTR administration Vrije Universiteit Amsterdam van der Aa, Niels Vrije Universiteit Amsterdam Huppertz, Charlotte Vrije Universiteit Amsterdam

Wave alternate title	Dutch Health and Behavior Questionnaire - age 18 YS_DHBQ18
Short description of the wave	The Dutch Health and Behavior Questionnaire (DHBQ) was developed at the department of Biological Psychology of the VU University. It is a collection of standardized questions targeting multiple domains. The focus of the survey is on emotional and behavioral problems assessed by the Youth Self-Report (YSR), subjective wellbeing, lifestyle, exercise behavior, sedentary behavior, and family functioning. The YS_DHBQ18 targeted 18-year old twins or triplets (mean age = 18.6 years, SD = 0.47 years) born between 1986 and 1992 and their 12-25 year old siblings (mean age = 19.3 years, SD = 4.13 years) born between 1980 and 1994.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	463-06-001 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
References	van der Aa, N. (2011). Causes of variation in adolescent wellbeing. https://research.vu.nl/en/publications/causes-of-variation-in-adolescent-wellbeing. ISBN: 978-94-6169-009-8. Huppertz, C. (2016). How voluntary exercise behavior runs in families: Twin studies and beyond. https://research.vu.nl/en/publications/how-voluntary-exercise-behavior-runs-in-families-twin-studies-and. ISBN: 978-94-6299-314-3.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2005-01-01
End date wave collection	2006-01-01
Wave universe description	18.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	YNTR administration Vrije Universiteit Amsterdam van der Aa, Niels Vrije Universiteit Amsterdam Huppertz, Charlotte Vrije Universiteit Amsterdam

Wave alternate title	Wave 1 Technical Pilot ACTION Biomarker Study YC_ACTION
Short description of the wave	The first wave of the technical pilot of the ACTION project (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and interventION strategies Consortium; http://www.action-euproject.eu). The aim of the technical pilot was to test the collection protocols for urine and buccal sample collection in 10-13 year old twins (mean age = 11.6 years, SD = 0.9 years) born between 2002 and 2005. The technical pilot comprised of twin participants with a low aggression score (T-score<65) on the mother-reported ASEBA CBCL Aggression Syndrome Scale at age 3 and/or age 7. Urine samples with minimal information regarding urine collection were collected at two timepoints with an interval of approximately two weeks. Urine samples contributed to the optimization of the biomarker assays and the liquid and gas chromatography mass spectrometry protocols for analyzing urine samples in children. In the technical pilot a urine dipstick and assessment of urine density (specific gravity) were obtained in addition to 15 biomarker assays (creatinine, neopterin, C-peptide, Substance P, Oxidized DNA/RNA, Procalcitonin, total antioxidant capacity, glucose, Thiobarbituric acid reactive species, beta-endorphin, cholecytokin, leu-enkaphalin, dynorphin A, albumin, and neurotensin) , and two metabolomics platforms (liquid chromatography mass spectrometry platform targeting amines and gas chromatography mass spectrometry platform targeting organic acids). Buccal-cell samples were also collected at both time points where samples obtained from wave 1 were genotyped on the Affymetrix Axiom genotyping array.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	602768 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title European Union Seventh Framework Program (FP7/2007–2013) Funder award URI
References	Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29. PMID: 29845340; PMCID: PMC6133086. Hagenbeek FA, Roetman PJ, Pool R, Kluft C, Harms AC, van Dongen J, Colins OF, Talens S, van Beijsterveldt CEM, Vandenbosch MMLJZ, de Zeeuw EL, Déjean S, Fanos V, Ehli EA, Davies GE, Hottenga JJ, Hankemeier T, Bartels M, Vermeiren RRJM, Boomsma DI. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Front Psychiatry. 2020 Mar 31;11:165. doi: 10.3389/fpsyt.2020.00165. PMID: 32296350; PMCID: PMC7138132. Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. https://research.vu.nl/en/publications/omics-biomarkers-and-aggressive-behavior. ISBN: 9789493270473. Boomsma DI. Aggression in children: unravelling the interplay of genes and environment through (epi)genetics and metabolomics. J Pediatr Neonat Individual Med. 2015;4(2):e040251. doi: 10.7363/040251
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2014-01-01
End date wave collection	2015-01-01
Wave universe description	10.0 - 13.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Hagenbeek, Fiona A. Vrije Universiteit Amsterdam Vandenbosch, Marjolein M.L.J.Z. Vrije Universiteit Amsterdam

Wave alternate title	Wave 2 Technical Pilot ACTION Biomarker Study YC_ACTION
Short description of the wave	The second wave of the technical pilot of the ACTION project (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and interventION strategies Consortium; http://www.action-euproject.eu). The aim of the technical pilot was to test the collection protocols for urine and buccal sample collection in 10-13 year old twins born between 2002 and 2005 (mean age = 11.6 years, SD = 0.9 years). The technical pilot comprised twin participants with a low aggression score (T-score<65) on the mother-reported ASEBA CBCL Aggression Syndrome Scale at age 3 and/or age 7. Urine samples with minimal information regarding urine collection were collected at two timepoints with an interval of approximately two weeks. Urine samples contributed to the optimization of the biomarker assays and the liquid and gas chromatography mass spectrometry protocols for analyzing urine samples in children. In the technical pilot a urine dipstick and assessment of urine density (specific gravity) were obtained in addition to 15 biomarker assays (creatinine, neopterin, C-peptide, Substance P, Oxidized DNA/RNA, Procalcitonin, total antioxidant capacity, glucose, Thiobarbituric acid reactive species, beta-endorphin, cholecytokin, leu-enkaphalin, dynorphin A, albumin, and neurotensin), and two metabolomics platforms (liquid chromatography mass spectrometry platform targeting amines and gas chromatography mass spectrometry platform targeting organic acids). Buccal-cell samples were also collected at both time points where samples obtained from wave 1 were genotyped on the Affymetrix Axiom genotyping array.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	602768 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title European Union Seventh Framework Program (FP7/2007–2013) Funder award URI
References	Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29. PMID: 29845340; PMCID: PMC6133086. Hagenbeek FA, Roetman PJ, Pool R, Kluft C, Harms AC, van Dongen J, Colins OF, Talens S, van Beijsterveldt CEM, Vandenbosch MMLJZ, de Zeeuw EL, Déjean S, Fanos V, Ehli EA, Davies GE, Hottenga JJ, Hankemeier T, Bartels M, Vermeiren RRJM, Boomsma DI. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Front Psychiatry. 2020 Mar 31;11:165. doi: 10.3389/fpsyt.2020.00165. PMID: 32296350; PMCID: PMC7138132. Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. https://research.vu.nl/en/publications/omics-biomarkers-and-aggressive-behavior. ISBN: 9789493270473. Boomsma DI. Aggression in children: unravelling the interplay of genes and environment through (epi)genetics and metabolomics. J Pediatr Neonat Individual Med. 2015;4(2):e040251. doi: 10.7363/040251
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2014-01-01
End date wave collection	2015-01-01
Wave universe description	10.0 - 13.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Hagenbeek, Fiona A. Vrije Universiteit Amsterdam Vandenbosch, Marjolein M.L.J.Z. Vrije Universiteit Amsterdam

Wave alternate title	Biochemical Study ACTION Biomarker Study YC_ACTION
Short description of the wave	The biochemical study of the ACTION project (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and interventION strategies Consortium; http://www.action-euproject.eu). The aim of the biochemical study was to further validate the biomarker assays and metabolomics platforms selected during the two waves of the technical pilot (YC_ACTION BB1_1 BB1_2) in a larger sample of 6-11 year old twins born between 2004 and 2009 (mean age = 9.9 years, SD = 1.6 years). The twins were selected based on their mother-rated aggression scores (Achenbach System of Empirically Based Assessment (ASEBA) Child Behavior Checklist) at age 3 and/or 7. The Biochemical study comprised concordant low-scoring twin pairs, concordant high-scoring twin pairs, and a discordant low-high scoring twin pairs. High aggression was defined as having an ASEBA CBCL Aggression Syndrome Scale T-score equal to or larger than 65, and low aggression as an ASEBA CBCL Aggression Syndrome Scale T-score of less than 65. Here, data collection comprised of first-morning urine samples and buccal-cell DNA samples in the twins and family members living at the same address as the participating twin pairs were also asked to provide a buccal-cell DNA sample. During the urine and buccal-cell collection, parents of the twins were asked to complete the ASEBA CBCL for school-aged children (6-18 years) to reflect the current child behaviors, and to provide information about health condition of the twins and conditions of urine collection. Biochemical measurement in urine included a dipstick, density (specific gravity), creatinine, neopterin, C-peptide, Substance P, oxidized DNA/RNA, procalcitonin, total antioxidant capacity, and glucose, and two metabolomics platforms: 1) a liquid chromatography mass spectrometry (LC-MS) platform targeting amines; and 2) a LC-MS platform targeting steroid hormones. Buccal-cell samples were genotyped on the Affymetrix Axiom genotyping array.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	602768 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title European Union Seventh Framework Program (FP7/2007–2013) Funder award URI
References	Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29. PMID: 29845340; PMCID: PMC6133086. Hagenbeek FA, Roetman PJ, Pool R, Kluft C, Harms AC, van Dongen J, Colins OF, Talens S, van Beijsterveldt CEM, Vandenbosch MMLJZ, de Zeeuw EL, Déjean S, Fanos V, Ehli EA, Davies GE, Hottenga JJ, Hankemeier T, Bartels M, Vermeiren RRJM, Boomsma DI. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Front Psychiatry. 2020 Mar 31;11:165. doi: 10.3389/fpsyt.2020.00165. PMID: 32296350; PMCID: PMC7138132. Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. https://research.vu.nl/en/publications/omics-biomarkers-and-aggressive-behavior. ISBN: 9789493270473. Boomsma DI. Aggression in children: unravelling the interplay of genes and environment through (epi)genetics and metabolomics. J Pediatr Neonat Individual Med. 2015;4(2):e040251. doi: 10.7363/040251
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2015-01-01
End date wave collection	2015-01-01
Wave universe description	6.0 - 11.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Hagenbeek, Fiona A. Vrije Universiteit Amsterdam Vandenbosch, Marjolein M.L.J.Z. Vrije Universiteit Amsterdam

Wave alternate title	Main Study ACTION Biomarker Study YC_ACTION
Short description of the wave	The Main Study of the ACTION project (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and interventION strategies Consortium; http://www.action-euproject.eu), after the technical pilots (YC_ACTION BB1_1 and BB1_2) and the Biochemical study (YC_ACTION BB2). Here, data collection of first-morning urine samples for metabolomics biomarker discovery and buccal-cell DNA samples for (epi)genetics was conducted in a large cohort of 6-13 year old twins born between 2004 and 2011 (mean age = 9.5 years, SD = 1.9 years). Family members living at the same address as the participating twin pairs were also asked to provide a buccal-cell DNA sample. The twins were selected to be part of a concordant low-scoring twin pair, a concordant high-scoring twin pair, or a discordant twin pair. Aggression had been assessed in the past by the age-appropriate version of the CBCL (Achenbach System of Empirically Based Assessment (ASEBA) Child Behavior Checklist). During the urine and buccal-cell collection, parents of the twins were asked to complete the ASEBA CBCL for school-aged children (6-18 years) to reflect the current child behaviors, and to provide information about health condition of the twins and conditions of urine collection. Biochemical measurement in urine included a dipstick, density (specific gravity), creatinine, neopterin, C-peptide, Substance P, and oxidized DNA/RNA. Metabolomics data of the Main Study together with the samples obtained in the Biochemical Study (ACTIONBB2) were were obtained from three metabolomics platforms: 1) a liquid chromatography mass spectrometry (LC-MS) platform targeting amines; 2) a LC-MS platform targeting steroid hormones; and 3) a gas chromatography (GC) MS platform targeting organic acids. Buccal-cell samples of the twins from the Main Study together with the samples obtained in the Biochemical Study (ACTIONBB2) were used for genome-wide methylation measurement on the Infinium MethylationEPIC BeadChip Kit (after conclussion of the ACTION project additional twin pairs and siblings were also measured on this platform). DNA samples from all family members were genotyped on the Affymetrix Axiom or Illumina GSA genotyping arrays.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	602768 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title European Union Seventh Framework Program (FP7/2007–2013) Funder award URI
References	Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29. PMID: 29845340; PMCID: PMC6133086. Hagenbeek FA, Roetman PJ, Pool R, Kluft C, Harms AC, van Dongen J, Colins OF, Talens S, van Beijsterveldt CEM, Vandenbosch MMLJZ, de Zeeuw EL, Déjean S, Fanos V, Ehli EA, Davies GE, Hottenga JJ, Hankemeier T, Bartels M, Vermeiren RRJM, Boomsma DI. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Front Psychiatry. 2020 Mar 31;11:165. doi: 10.3389/fpsyt.2020.00165. PMID: 32296350; PMCID: PMC7138132. Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. https://research.vu.nl/en/publications/omics-biomarkers-and-aggressive-behavior. ISBN: 9789493270473. Boomsma DI. Aggression in children: unravelling the interplay of genes and environment through (epi)genetics and metabolomics. J Pediatr Neonat Individual Med. 2015;4(2):e040251. doi: 10.7363/040251
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2016-01-01
End date wave collection	2017-01-01
Wave universe description	6.0 - 13.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Hagenbeek, Fiona A. Vrije Universiteit Amsterdam Vandenbosch, Marjolein M.L.J.Z. Vrije Universiteit Amsterdam

Wave alternate title	Brain Scale measurement 1 YC_BS1, Brain Scale measurement t0, BrainScale age 9
Short description of the wave	The YC_BS1 project was the first measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS1 targeted 9-year old twins (mean age = 9.1 years, SD = 0.51 years) born between 1995 and 1996, and their 9-14 year old siblings (mean age = 11.9 years, SD = 1.16 years) born between 1990 and 1997. The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels (cortisol, luteinizing hormone, follicle-stimulating hormone, testosterone, and estrogens) were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future candidate gene and genome-wide analysis studies.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	051.02.060 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI 051.02.061 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI 56-464-14192 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Spinoza Prize Funder award URI
References	van Soelen IL, Brouwer RM, Peper JS, van Leeuwen M, Koenis MM, van Beijsterveldt TC, Swagerman SC, Kahn RS, Hulshoff Pol HE, Boomsma DI. Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res Hum Genet. 2012 Jun;15(3):453-67. doi: 10.1017/thg.2012.4. PMID: 22856378. van Leeuwen, M. (2008). A study of cognition in pre-adolescent twins. https://research.vu.nl/en/publications/a-study-of-cognition-in-pre-adolescent-twins. ISBN: 978 90 9023637 7. Peper, J. S. (2008). The early pubertal brain: work in progress: A study on genetic and hormonal influences. https://research.vu.nl/en/publications/the-early-pubertal-brain-work-in-progress-a-study-on-genetic-and-. ISBN: 978-90-393-4917-5.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2005-01-01
End date wave collection	2005-01-01
Wave universe description	9.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	van Leeuwen, Marieke Vrije Universiteit Amsterdam Peper, Jiska Vrije Universiteit Amsterdam

Wave alternate title	Brain Scale measurement 2 YC_BS2, Brain Scale measurement t1, BrainScale age 12
Short description of the wave	The YC_BS2 project was the second measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS2 took place three years after the baseline (YC_BS1) and targeted 12-year old twins (mean age = 12.2 years, SD = 0.3 years) born between 1995 and 1996 and their 9-18 year old siblings (mean age = 14.8 years, SD = 1.3 years) born between 1990 and 1997. The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels (cortisol, luteinizing hormone, follicle-stimulating hormone, testosterone, and estrogens) were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future candidate gene and genome-wide analysis studies.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	56-464-14192 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Spinoza Prize Funder award URI
References	van Soelen IL, Brouwer RM, Peper JS, van Leeuwen M, Koenis MM, van Beijsterveldt TC, Swagerman SC, Kahn RS, Hulshoff Pol HE, Boomsma DI. Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res Hum Genet. 2012 Jun;15(3):453-67. doi: 10.1017/thg.2012.4. PMID: 22856378. van Soelen, I. L. C. (2011). Genetics of Structural Brain Development and Cognition in Childhood and Early Adolescence. https://research.vu.nl/en/publications/genetics-of-structural-brain-development-and-cognition-in-childho. ISBN: 978-90-6464-498-6.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2007-01-01
End date wave collection	2009-01-01
Wave universe description	12.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	van Soelen, Inge Vrije Universiteit Amsterdam

Wave alternate title	Brain Scale measurement 3 YC_BS3, Brain Scale measurement t2, BrainScale age 17
Short description of the wave	The YC_BS3 project was the third measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS3 took place eight years after the baseline (YC_BS1) and targeted 17-year old twins (mean age = 16.85 years, SD = 0.36 years) born between 1995 and 1996 and their 17-22 old siblings (mean age = 19.26 years, SD = 1.30 years) born between 1990 and 1997..... The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future genetic association studies.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	433-09-220 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
References	van Soelen IL, Brouwer RM, Peper JS, van Leeuwen M, Koenis MM, van Beijsterveldt TC, Swagerman SC, Kahn RS, Hulshoff Pol HE, Boomsma DI. Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res Hum Genet. 2012 Jun;15(3):453-67. doi: 10.1017/thg.2012.4. PMID: 22856378. Swagerman, S. C. (2016). Cognitive performance across the lifespan and domains. Koenis, M. M. G. (2017). Adolescent brain development - A longitudinal twin study into structural brain development and its relation to hormone levels and intelligence. https://research.vu.nl/en/publications/adolescent-brain-development-a-longitudinal-study-into-structural. ISBN: 978-94-6299-623-6.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2012-01-01
End date wave collection	2014-01-01
Wave universe description	17.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Swagerman, Suzanne Vrije Universiteit Amsterdam Koenis, Marinka Utrecht University

Wave alternate title	DISC-IV DSM diagnosis of ADHD and multi-informant CBCL-AP syndrome scores YC_DSC
Short description of the wave	The purpose of the YC_DSC project was to investigate the relation between Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) diagnosis of ADHD and Child Behavioral Checklist Attention Problems (CBCL-AP) scores. Twins were selected based on their maternal CBCL-AP scores at ages 7, 10 and 12 (mean age = 11.7 years, SD = 0.78 years). Twin pairs were selected if at least one of the twins scored high on AP (affected pairs), or if both twins scored low on AP (control pairs). In families that agreed to participate, the mother of the twins was interviewed by telephone with the Diagnostic Interview Schedule for Children (DISC-IV). Other surveys that were collected are the CBCL, SWAN and YSR. Mouth swabs were used to collect buccal cell samples, from which DNA was extracted.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	MH58799-03 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Investigator Initiated Research Grant (R01) Funder award URI
References	Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569. Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders. Derks EM, Hudziak JJ, Dolan CV, van Beijsterveldt TC, Verhulst FC, Boomsma DI. Genetic and environmental influences on the relation between attention problems and attention deficit hyperactivity disorder. Behav Genet. 2008 Jan;38(1):11-23. doi: 10.1007/s10519-007-9178-8. Epub 2007 Dec 12. PMID: 18074222; PMCID: PMC2226020.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2002-01-01
End date wave collection	2005-01-01
Wave universe description	10.0 - 13.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Derks, Eske M. Vrije Universiteit Amsterdam

Wave alternate title	Determinants of adolescent exercise behavior - the psychological response to exercise YE_FITNSS
Short description of the wave	The YE_FITNSS project aimed to investigate determinants of adolescent exercise behavior in a sample of healthy 16-18 year old twins born between 1993 and 1999 (mean age = 17.1 years, SD = .67 years) and their 12-25 year old siblings born between 1988 and 2000 (mean age = 17.2 years, SD = 3.24 years). Body composition was measured, as well as physical fitness (standing jump, hand grip, sit-and reach flexibility, balance tests). Impulsiveness of the subjects was assessed by the delay discounting questionnaire. Regular voluntary exercise behavior was measured by a short lifestyle interview. While being equipped with a VU University Ambulatory Monitoring System (VU-AMS) and Cosmed device, the subjects performed two submaximal exercise tests and one maximal exercise test. The VU-AMS device records electrocardiogram (ECG) data and impedance cardiogram (ICG) data. The Cosmed device measures oxygen consumption (VO2) and carbon dioxide production (VCO2). VO2max (endurance capacity) was derived during the maximal exercise test. Before, during and after the exercise tests, subjects filled out the Activation-Deactivation Adjective Checklist (AD ACL), Feeling Scale (FS) and the Borg’s Rating of Perceived Exertion (RPE) at multiple time points. These questionnaires determined the subjects’ affective response to exercise. DNA was collected through buccal swabs to determine zygosity.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	de Geus, Eco J. C. Vrije Universiteit Amsterdam Bartels, Meike Vrije Universiteit Amsterdam
Funding information	1R01DK092127-01 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI RO1DK-092127 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI 022.003.010 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
References	Schutte, N. M. (2017). Unraveling the genetic components of voluntary exercise behavior in adolescents and young adults. https://research.vu.nl/en/publications/unraveling-the-genetic-components-of-voluntary-exercise-behavior-. ISBN: 9789463322126.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2012-01-01
End date wave collection	2014-01-01
Wave universe description	16.0 - 18.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Schutte, Nienke M. Vrije Universiteit Amsterdam Nederend, Ineke Vrije Universiteit Amsterdam

Wave alternate title	MRI-based research into problem behaviors in twins YC_ADHMRI
Short description of the wave	In the ADHD-MRI project, the genetic and environmental influence on ADHD related neurobiological changes were investigated in monozygotic twins (mean age = 14.9 years, SD = 1.2 years) who were born between 1986 and 1993. Twins were selected based on their Child Behavior Checklist Attention Problems (CBCL-AP) scores obtained in the regular YNTR survey waves and divided into three groups: discordant pairs (one affected, one unaffected), concordant pairs (both affected) and control pairs (both unaffected). To determine the presence of ADHD, mothers of the participants were interviewed with the Diagnostic Interview Schedule for Children (DISC-IV). Additionally, they filled in two behavioral questionnaires (CBCL and Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN)). The twins filled in the Youth Self Report (YSR). Based on the outcome of the interview and questionnaires, twin pairs that were found eligible for the MRI experiments were invited. Both structural and functional MRI (color-stroop and flanker tasks) were performed. DNA was collected to confirm zygosity.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	MH58799-03 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Investigator Initiated Research Grant (R01) Funder award URI
References	Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569. Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders. van 't Ent D, Lehn H, Derks EM, Hudziak JJ, Van Strien NM, Veltman DJ, De Geus EJ, Todd RD, Boomsma DI. A structural MRI study in monozygotic twins concordant or discordant for attention/hyperactivity problems: evidence for genetic and environmental heterogeneity in the developing brain. Neuroimage. 2007 Apr 15;35(3):1004-20. doi: 10.1016/j.neuroimage.2007.01.037. Epub 2007 Feb 8. PMID: 17346990; PMCID: PMC1939804. van 't Ent D, van Beijsterveldt CE, Derks EM, Hudziak JJ, Veltman DJ, Todd RD, Boomsma DI, De Geus EJ. Neuroimaging of response interference in twins concordant or discordant for inattention and hyperactivity symptoms. Neuroscience. 2009 Nov 24;164(1):16-29. doi: 10.1016/j.neuroscience.2009.01.056. Epub 2009 Feb 3. PMID: 19409224; PMCID: PMC2760677.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2003-01-01
End date wave collection	2007-01-01
Wave universe description	15.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Derks, Eske M. Vrije Universiteit Amsterdam

Wave alternate title	Cognitive abilities of 18-year-old twins YE_COG18
Short description of the wave	The YE_COG18 project is the fifth measurement of a longitudinal study into the development of intelligence and problem behaviour (waves one and two not included in this catalogue, wave 3: YE_COG10, wave 4: YE_COG12), to which additional participants were recruited (twins with siblings and their parents). It targeted 18-year old twins (mean age = 18.1 years, SD = 0.5 years) born between 1986 and 1991, their 8-35 year old siblings (mean age = 18.8 years, SD = 4.9 years) born between 1970 and 1998, and their parents (mean age = 48.9 years, SD = 4.14 years) born between 1942 and 1965. The test protocol consisted of a physical part and a psychological part. Physical measurements included cardiovascular functioning (assessed with the VU-AMS device), a physical examination with basic anthropometric measurements and the collection of saliva, DNA and fingerprints. The psychological part consisted of a series of cognitive tests that measured the following abilities: intelligence (Wechsler Intelligence Scale for Children, WISC-R or Revised Amsterdamse Kinder Intelligentie Test, RAKIT); inhibition (Stroop); spontaneous production of words (Verbal fluency); verbal learning and memory (California Verbal Learning Task, CVLT); emotion recognition (Reading the mind in the eyes); perceptual speed (Π inspection time task); spatial short term memory (n-back task and Corsi block tapping task). Furthermore, some questionnaires were administered to the participants (Autism-Spectrum Quotient, Tanner self-report), mothers of the twins (Social Responsiveness Scale) and research assistants (Test Observation form).
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	56-464-14192 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Spinoza Prize Funder award URI
References	Hoekstra, R. A. (2007). Autistic traits, withdrawn behaviour and cognition: a longitudinal twin study from early childhood to young adulthood. https://research.vu.nl/en/publications/autistic-traits-withdrawn-behaviour-and-cognition-a-longitudinal-. Estourgie-van Burk, G. F. (2011). Variation in growth and the influence of early growth in later life: a twin-sibling study. https://research.vu.nl/en/publications/variation-in-growth-and-the-influence-of-early-growth-in-later-li. ISBN: 9789086595532.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2004-01-01
End date wave collection	2006-01-01
Wave universe description	18.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Hoekstra, Rosa A. Vrije Universiteit Amsterdam Estourgie-van Burk, Frederiek Vrije Universiteit Amsterdam

Wave alternate title	Triplet survey age 1-2 YS_TRIP
Short description of the wave	In 2008, a combination of the triplet surveys at age 1 and 2 was sent to mothers of all triplets in both YNTR and ANTR. The survey was sent to 535 mothers and was returned by 264 mothers (triplet ages ranged between 2 and 38 years, mean age = 11.9, SD = 7.0). Since 2009, the combined survey 1 and 2 serves as the first survey for newly registered triplets at age 2. The combined survey comprises items on pregnancy, gestational age, smoking and alcohol consumption during pregnancy, mode of delivery, breastfeeding, attaining milestones, and growth.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information
References
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2008-01-01
End date wave collection
Wave universe description	24 months - 38.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys (up to 2019) have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	YNTR administration Vrije Universiteit Amsterdam

You can also access this dataset using the API (see API Docs).

author	None
author_email	None
creator_user_id	34768773-4537-4d74-8d9d-11e2b32cbbaf
dc_additional_info	In NTR projects YC_DSC and YC_ADHMRI, pubertal development was assessed via mother-ratings obtained via a telephone interview, and in NTR project YC_FITNSS, via an interview.
dc_analysis_unit	{Individual}
dc_cohort	NTR
id	ca87f59a-21a7-4bc6-9429-fbbd2f517a68
isopen	False
license_title	None
maintainer	None
maintainer_email	None
metadata_created	2024-10-17T12:38:31.039573
metadata_modified	2024-10-20T12:50:56.712404
name	0d0017ffab159aba19f0d02d3117d8a3
notes	Pubertal Development was assessed through questions about breast growth, menstruation, shaving, deepening of the voice, and growth spurts.
num_resources	0
num_tags	0
organization	{'id': '45b26247-5cc8-4bf1-a214-3efb773faa3a', 'name': 'ntr', 'title': 'Netherlands Twin Register', 'type': 'organization', 'description': 'The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR).', 'image_url': 'https://data.individualdevelopment.nl/img/logo_ntr.png', 'created': '2024-10-17T13:43:56.356410', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}
owner_org	45b26247-5cc8-4bf1-a214-3efb773faa3a
private	False
state	active
title	Pubertal Development
type	measure
cohort	[{'cohort_alternate_title': 'YNTR', 'cohort_description': 'The Young Netherlands Twin Register (YNTR) consists of projects within the Netherlands Twin Register (NTR) that involve families with twins or other multiples under the age of 18.', 'cohort_language': 'NL', 'cohort_purpose': 'The purpose of the projects within the Young Netherlands Twin Register focus on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.', 'cohort_spatial_country_code': 'NL', 'cohort_spatial_highest_reference': 'country', 'cohort_spatial_lowest_reference': 'postal code', 'cohort_time_method': 'Longitudinal.CohortEventBased', 'cohort_title': 'NTR: Young Netherlands Twin Register', 'cohort_universe': 'Families with twins or other multiples under the age of 18.', 'cohort_contributor': [{'cohort_contributor': 'YNTR administration', 'cohort_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'cohort_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/'}], 'cohort_creator': [{'cohort_creator_affiliation': 'Vrije Universiteit Amsterdam', 'cohort_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'cohort_creator_affiliation_identifier_scheme': 'ROR', 'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_name': 'Boomsma, Dorret I.', 'cohort_creator_pid': '0000-0002-7099-7972'}], 'cohort_funding': [{'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '480-15-001/674'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '575-25-006'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '480-04-004'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '911-09-032'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/008xxew50', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Vrije Universiteit Amsterdam'}], 'cohort_references': [{'cohort_reference_citation': 'Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420.', 'cohort_reference_identifier': 'https://doi.org/10.1375/183242706779462426', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212.', 'cohort_reference_identifier': 'https://doi.org/10.1375/twin.11.3.342', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620.', 'cohort_reference_identifier': 'https://doi.org/10.1017/thg.2012.118', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': "Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148.", 'cohort_reference_identifier': 'https://doi.org/10.1017/thg.2019.93', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}]
dc_DOI	[{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/wr0q-4477'}]
dc_constructs	[{'dc_construct': 'physiology'}]
dc_labels	[{'dc_label': 'puberty'}, {'dc_label': 'tanner'}, {'dc_label': 'hair growth'}, {'dc_label': 'menstruation'}, {'dc_label': 'secondary sexual characteristics'}, {'dc_label': 'breast growth'}, {'dc_label': 'voice deepening'}, {'dc_label': 'growth spurt'}, {'dc_label': 'physical characteristics'}, {'dc_label': 'physical appearance'}]
dc_modes_of_collection	[{'dc_mode_of_collection': 'SelfAdministeredQuestionnaire'}]
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study	[{'study_alternate_title': 'NTR', 'study_language': 'NL', 'study_purpose': 'The research carried out by the Netherlands Twin Register focuses on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.', 'study_time_method': 'Longitudinal', 'study_universe': 'The recruitment into the NTR is fully inclusive without any restrictions on enrolment. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). ', 'title': 'Netherlands Twin Register', 'study_contact': [{'study_contact_affiliation': 'Vrije Universiteit Amsterdam', 'study_contact_mail': 'ntr.datamanagement.fgb@vu.nl', 'study_contact_name': 'NTR Data Management'}], 'study_contributor': [{'study_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'study_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_name': 'YNTR administration'}], 'study_data_access': [{'study_data_access_URL': 'https://ntr-data-request.psy.vu.nl/', 'study_data_access_description': 'Researchers with an approved data sharing request who abide by the rules of the European General Data Protection Regulation can receive temporary access to the NTR data for their own research projects.'}], 'study_funding': [{'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '480-15-001/674'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '575-25-006'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '480-04-004'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '911-09-032'}], 'study_principal_investigators': [{'study_pi_affiliation': 'Vrije Universiteit Amsterdam', 'study_pi_affiliation_identifier': 'https://ror.org/008xxew50', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Boomsma, Dorret I.', 'study_pi_pid': '0000-0002-7099-7972'}], 'study_publisher': [{'study_publisher_identifier': 'https://ror.org/008xxew50', 'study_publisher_identifier_schemeuri': 'https://ror.org/', 'study_publisher_identifier_type': 'ROR', 'study_publisher_name': 'Vrije Universiteit Amsterdam'}], 'study_references': [{'study_reference_citation': 'Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420.', 'study_reference_identifier': 'https://doi.org/10.1375/183242706779462426', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212.', 'study_reference_identifier': 'https://doi.org/10.1375/twin.11.3.342', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620.', 'study_reference_identifier': 'https://doi.org/10.1017/thg.2012.118', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': "Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148.", 'study_reference_identifier': 'https://doi.org/10.1017/thg.2019.93', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Bartels M, van Beijsterveldt CE, Derks EM, Stroet TM, Polderman TJ, Hudziak JJ, Boomsma DI. Young Netherlands Twin Register (Y-NTR): a longitudinal multiple informant study of problem behavior. Twin Res Hum Genet. 2007 Feb;10(1):3-11. doi: 10.1375/twin.10.1.3.PMID: 17539360.', 'study_reference_identifier': 'https://doi.org/10.1375/twin.10.1.3', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Boomsma DI, Orlebeke JF, van Baal GC.Behav Genet. The Dutch Twin Register: growth data on weight and height. 1992 Mar;22(2):247-51. doi: 10.1007/BF01067004', 'study_reference_identifier': 'https://doi.org/10.1007/BF01067004', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Franić S, Dolan CV, van Beijsterveldt CE, Hulshoff Pol HE, Bartels M, Boomsma DI. Genetic and environmental stability of intelligence in childhood and adolescence. Twin Res Hum Genet. 2014 Jun;17(3):151-63. doi: 10.1017/thg.2014.', 'study_reference_identifier': 'https://doi.org/10.1017/thg.2014', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}]}]
wave	[{'wave_alternate_title': 'YNTR survey age 1 [YS_1]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'After registration of newborn twins, which is before the age of 12 months for 89% of the twins (mean age = 0.8 years, SD = 1.17 years), the mother of a twin pair receives the first survey which focuses on conception (spontaneous or otherwise), information from parents themselves (demographics, height, weight), pregnancy (e.g. duration, smoking and drinking behaviors of both parents during pregnancy), birth and health (malformations) of the children shortly after birth. The mother is asked to fill in this survey, and this was done by the biological mother for almost all of surveys with others (stepmother, adoptive mother, some fathers) completing this survey in a small number of families (<0.05%).', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys (up to 2012) have been scanned. All data digitally archived.', 'wave_start_date_collection': '1987-01-01', 'wave_title': 'YS_1', 'wave_universe': '0-12', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_name': 'YNTR administration'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_subject_codes': [{'wave_subject_code': 'MM', 'wave_subject_code_translated': 'Mother (biological or non-biological) on self'}]}, {'wave_alternate_title': 'Dutch Health and Behavior Questionnaire - pilot [YS_DHBQP]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'In this pilot project, the Dutch Health and Behavior Questionnaire (DHBQ) was developed at the department of Biological Psychology of the VU University. It is a collection of standardized questions targeting multiple domains. The focus of the survey is on emotional and behavioral problems assessed by the Youth Self-Report (YSR), subjective wellbeing, lifestyle, exercise behavior, sedentary behavior, and family functioning. The pilot was sent to 14-, 16-, and 18-year old twins (mean age = 16.6 years, SD = 0.60 years) born between 1993 and 1990 and their 12-25 year old siblings (mean age = 17.5 years, SD = 3.08 years) born between 1981 and 1991.', 'wave_end_date_collection': '2004-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2004-01-01', 'wave_title': 'YS_DHBQP', 'wave_universe': '168-216', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': '', 'wave_contributor_identifier_type': '', 'wave_contributor_name': 'YNTR administration', 'wave_contributor_pid': ''}, {'wave_contributor_affiliation': 'Leiden University Medical Center', 'wave_contributor_affiliation_identifier': 'https://ror.org/05xvt9f17', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': "Slof-Op 't Landt, Margarita C.T.", 'wave_contributor_pid': '0000-0001-6135-2163'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}, {'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Bartels, Meike', 'wave_creator_pid': '0000-0002-9667-7555'}], 'wave_funding': [{'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '463-06-001'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van der Aa, N. (2011). Causes of variation in adolescent wellbeing. https://research.vu.nl/en/publications/causes-of-variation-in-adolescent-wellbeing. ISBN: 978-94-6169-009-8.', 'wave_references_identifier': 'https://hdl.handle.net/1871/18574', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Huppertz, C. (2016). How voluntary exercise behavior runs in families: Twin studies and beyond. https://research.vu.nl/en/publications/how-voluntary-exercise-behavior-runs-in-families-twin-studies-and. ISBN: 978-94-6299-314-3.', 'wave_references_identifier': 'https://hdl.handle.net/1871/54304', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}]}, {'wave_alternate_title': 'Dutch Health and Behavior Questionnaire - age 14 [YS_DHBQ14]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The Dutch Health and Behavior Questionnaire (DHBQ) was developed at the department of Biological Psychology of the VU University. It is a collection of standardized questions targeting multiple domains. The focus of the survey is on emotional and behavioral problems assessed by the Youth Self-Report (YSR), subjective wellbeing, lifestyle, exercise behavior, sedentary behavior, and family functioning. The YS_DHBQ14 project targeted 14-year old twins or triplets (mean age = 14.6 years, SD = 0.65 years) born between 1989 and 1999 and their 12-25 year old siblings (mean = 17.3 years, SD = 2.55 years) born between 1981 and 2001.', 'wave_end_date_collection': '2013-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys (up to 2009) have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2005-01-01', 'wave_title': 'YS_DHBQ14', 'wave_universe': '168', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': '', 'wave_contributor_identifier_type': '', 'wave_contributor_name': 'YNTR administration', 'wave_contributor_pid': ''}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'van der Aa, Niels', 'wave_contributor_pid': '0000-0003-1366-4001'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Huppertz, Charlotte', 'wave_contributor_pid': '0000-0002-5699-2518'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}, {'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Bartels, Meike', 'wave_creator_pid': '0000-0002-9667-7555'}], 'wave_funding': [{'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '463-06-001'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van der Aa, N. (2011). Causes of variation in adolescent wellbeing. https://research.vu.nl/en/publications/causes-of-variation-in-adolescent-wellbeing. ISBN: 978-94-6169-009-8.', 'wave_references_identifier': 'https://hdl.handle.net/1871/18574', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Huppertz, C. (2016). How voluntary exercise behavior runs in families: Twin studies and beyond. https://research.vu.nl/en/publications/how-voluntary-exercise-behavior-runs-in-families-twin-studies-and. ISBN: 978-94-6299-314-3.', 'wave_references_identifier': 'https://hdl.handle.net/1871/54304', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}]}, {'wave_alternate_title': 'Dutch Health and Behavior Questionnaire - age 16 [YS_DHBQ16]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The Dutch Health and Behavior Questionnaire (DHBQ) was developed at the department of Biological Psychology of the VU University. It is a collection of standardized questions targeting multiple domains. The focus of the survey is on emotional and behavioral problems assessed by the Youth Self-Report (YSR), subjective wellbeing, lifestyle, exercise behavior, sedentary behavior, and family functioning. From 2007, the survey includes the NEO Five Factor Inventory (NEO-FFI) and removed items regarding religion, stuttering, type of transportation to school, and hair/eye color. The YS_DHBQ16 project targeted 16-year old twins or triplets (mean age = 16.9 years, SD = 0.55 years) born between 1987 and 1999 and their 12-25 year old siblings (mean age = 18.5 years, SD = 3.34 years) born between 1981 and 2000.', 'wave_end_date_collection': '2013-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys (up to 2009) have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2005-01-01', 'wave_title': 'YS_DHBQ16', 'wave_universe': '192', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': '', 'wave_contributor_identifier_type': '', 'wave_contributor_name': 'YNTR administration', 'wave_contributor_pid': ''}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'van der Aa, Niels', 'wave_contributor_pid': '0000-0003-1366-4001'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Huppertz, Charlotte', 'wave_contributor_pid': '0000-0002-5699-2518'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}, {'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Bartels, Meike', 'wave_creator_pid': '0000-0002-9667-7555'}], 'wave_funding': [{'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '463-06-001'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van der Aa, N. (2011). Causes of variation in adolescent wellbeing. https://research.vu.nl/en/publications/causes-of-variation-in-adolescent-wellbeing. ISBN: 978-94-6169-009-8.', 'wave_references_identifier': 'https://hdl.handle.net/1871/18574', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Huppertz, C. (2016). How voluntary exercise behavior runs in families: Twin studies and beyond. https://research.vu.nl/en/publications/how-voluntary-exercise-behavior-runs-in-families-twin-studies-and. ISBN: 978-94-6299-314-3.', 'wave_references_identifier': 'https://hdl.handle.net/1871/54304', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}]}, {'wave_alternate_title': 'Dutch Health and Behavior Questionnaire - age 18 [YS_DHBQ18]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The Dutch Health and Behavior Questionnaire (DHBQ) was developed at the department of Biological Psychology of the VU University. It is a collection of standardized questions targeting multiple domains. The focus of the survey is on emotional and behavioral problems assessed by the Youth Self-Report (YSR), subjective wellbeing, lifestyle, exercise behavior, sedentary behavior, and family functioning. The YS_DHBQ18 targeted 18-year old twins or triplets (mean age = 18.6 years, SD = 0.47 years) born between 1986 and 1992 and their 12-25 year old siblings (mean age = 19.3 years, SD = 4.13 years) born between 1980 and 1994.', 'wave_end_date_collection': '2006-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2005-01-01', 'wave_title': 'YS_DHBQ18', 'wave_universe': '216', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': '', 'wave_contributor_identifier_type': '', 'wave_contributor_name': 'YNTR administration', 'wave_contributor_pid': ''}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'van der Aa, Niels', 'wave_contributor_pid': '0000-0003-1366-4001'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Huppertz, Charlotte', 'wave_contributor_pid': '0000-0002-5699-2518'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}, {'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Bartels, Meike', 'wave_creator_pid': '0000-0002-9667-7555'}], 'wave_funding': [{'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '463-06-001'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van der Aa, N. (2011). Causes of variation in adolescent wellbeing. https://research.vu.nl/en/publications/causes-of-variation-in-adolescent-wellbeing. ISBN: 978-94-6169-009-8.', 'wave_references_identifier': 'https://hdl.handle.net/1871/18574', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Huppertz, C. (2016). How voluntary exercise behavior runs in families: Twin studies and beyond. https://research.vu.nl/en/publications/how-voluntary-exercise-behavior-runs-in-families-twin-studies-and. ISBN: 978-94-6299-314-3.', 'wave_references_identifier': 'https://hdl.handle.net/1871/54304', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}]}, {'wave_alternate_title': 'Wave 1 Technical Pilot ACTION Biomarker Study [YC_ACTION]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The first wave of the technical pilot of the ACTION project (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and interventION strategies Consortium; http://www.action-euproject.eu). The aim of the technical pilot was to test the collection protocols for urine and buccal sample collection in 10-13 year old twins (mean age = 11.6 years, SD = 0.9 years) born between 2002 and 2005. The technical pilot comprised of twin participants with a low aggression score (T-score<65) on the mother-reported ASEBA CBCL Aggression Syndrome Scale at age 3 and/or age 7. Urine samples with minimal information regarding urine collection were collected at two timepoints with an interval of approximately two weeks. Urine samples contributed to the optimization of the biomarker assays and the liquid and gas chromatography mass spectrometry protocols for analyzing urine samples in children. In the technical pilot a urine dipstick and assessment of urine density (specific gravity) were obtained in addition to 15 biomarker assays (creatinine, neopterin, C-peptide, Substance P, Oxidized DNA/RNA, Procalcitonin, total antioxidant capacity, glucose, Thiobarbituric acid reactive species, beta-endorphin, cholecytokin, leu-enkaphalin, dynorphin A, albumin, and neurotensin) , and two metabolomics platforms (liquid chromatography mass spectrometry platform targeting amines and gas chromatography mass spectrometry platform targeting organic acids). Buccal-cell samples were also collected at both time points where samples obtained from wave 1 were genotyped on the Affymetrix Axiom genotyping array. ', 'wave_end_date_collection': '2015-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2014-01-01', 'wave_title': 'YC_ACTION BB1_1', 'wave_universe': '120-156', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Hagenbeek, Fiona A.', 'wave_contributor_pid': '0000-0002-8773-0430'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Vandenbosch, Marjolein M.L.J.Z.', 'wave_contributor_pid': '0000-0002-7663-1744'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}, {'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Bartels, Meike', 'wave_creator_pid': '0000-0002-9667-7555'}], 'wave_funding': [{'wave_funder_award_title': 'European Union Seventh Framework Program (FP7/2007–2013)', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '602768'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29. PMID: 29845340; PMCID: PMC6133086.', 'wave_references_identifier': 'https://doi.org/10.1007/s00787-018-1169-1', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Hagenbeek FA, Roetman PJ, Pool R, Kluft C, Harms AC, van Dongen J, Colins OF, Talens S, van Beijsterveldt CEM, Vandenbosch MMLJZ, de Zeeuw EL, Déjean S, Fanos V, Ehli EA, Davies GE, Hottenga JJ, Hankemeier T, Bartels M, Vermeiren RRJM, Boomsma DI. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Front Psychiatry. 2020 Mar 31;11:165. doi: 10.3389/fpsyt.2020.00165. PMID: 32296350; PMCID: PMC7138132.', 'wave_references_identifier': 'https://doi.org/10.3389/fpsyt.2020.00165', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. https://research.vu.nl/en/publications/omics-biomarkers-and-aggressive-behavior. ISBN: 9789493270473.', 'wave_references_identifier': 'https://hdl.handle.net/1871.1/ff5055ee-113a-45f7-a40f-8a624cef4c84', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Boomsma DI. Aggression in children: unravelling the interplay of genes and environment through (epi)genetics and metabolomics. 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The aim of the technical pilot was to test the collection protocols for urine and buccal sample collection in 10-13 year old twins born between 2002 and 2005 (mean age = 11.6 years, SD = 0.9 years). The technical pilot comprised twin participants with a low aggression score (T-score<65) on the mother-reported ASEBA CBCL Aggression Syndrome Scale at age 3 and/or age 7. Urine samples with minimal information regarding urine collection were collected at two timepoints with an interval of approximately two weeks. Urine samples contributed to the optimization of the biomarker assays and the liquid and gas chromatography mass spectrometry protocols for analyzing urine samples in children. In the technical pilot a urine dipstick and assessment of urine density (specific gravity) were obtained in addition to 15 biomarker assays (creatinine, neopterin, C-peptide, Substance P, Oxidized DNA/RNA, Procalcitonin, total antioxidant capacity, glucose, Thiobarbituric acid reactive species, beta-endorphin, cholecytokin, leu-enkaphalin, dynorphin A, albumin, and neurotensin), and two metabolomics platforms (liquid chromatography mass spectrometry platform targeting amines and gas chromatography mass spectrometry platform targeting organic acids). Buccal-cell samples were also collected at both time points where samples obtained from wave 1 were genotyped on the Affymetrix Axiom genotyping array.', 'wave_end_date_collection': '2015-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2014-01-01', 'wave_title': 'YC_ACTION BB1_2', 'wave_universe': '120-156', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Hagenbeek, Fiona A.', 'wave_contributor_pid': '0000-0002-8773-0430'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Vandenbosch, Marjolein M.L.J.Z.', 'wave_contributor_pid': '0000-0002-7663-1744'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}, {'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Bartels, Meike', 'wave_creator_pid': '0000-0002-9667-7555'}], 'wave_funding': [{'wave_funder_award_title': 'European Union Seventh Framework Program (FP7/2007–2013)', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '602768'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29. PMID: 29845340; PMCID: PMC6133086.', 'wave_references_identifier': 'https://doi.org/10.1007/s00787-018-1169-1', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Hagenbeek FA, Roetman PJ, Pool R, Kluft C, Harms AC, van Dongen J, Colins OF, Talens S, van Beijsterveldt CEM, Vandenbosch MMLJZ, de Zeeuw EL, Déjean S, Fanos V, Ehli EA, Davies GE, Hottenga JJ, Hankemeier T, Bartels M, Vermeiren RRJM, Boomsma DI. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Front Psychiatry. 2020 Mar 31;11:165. doi: 10.3389/fpsyt.2020.00165. PMID: 32296350; PMCID: PMC7138132.', 'wave_references_identifier': 'https://doi.org/10.3389/fpsyt.2020.00165', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. https://research.vu.nl/en/publications/omics-biomarkers-and-aggressive-behavior. ISBN: 9789493270473.', 'wave_references_identifier': 'https://hdl.handle.net/1871.1/ff5055ee-113a-45f7-a40f-8a624cef4c84', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Boomsma DI. Aggression in children: unravelling the interplay of genes and environment through (epi)genetics and metabolomics. J Pediatr Neonat Individual Med. 2015;4(2):e040251. doi: 10.7363/040251', 'wave_references_identifier': 'https://doi.org/10.7363/040251', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'PC', 'wave_subject_code_translated': 'Parent (biological and non-biological, incl. caregivers) on Child'}]}, {'wave_alternate_title': 'Biochemical Study ACTION Biomarker Study [YC_ACTION]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The biochemical study of the ACTION project (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and interventION strategies Consortium; http://www.action-euproject.eu). The aim of the biochemical study was to further validate the biomarker assays and metabolomics platforms selected during the two waves of the technical pilot (YC_ACTION BB1_1 BB1_2) in a larger sample of 6-11 year old twins born between 2004 and 2009 (mean age = 9.9 years, SD = 1.6 years). The twins were selected based on their mother-rated aggression scores (Achenbach System of Empirically Based Assessment (ASEBA) Child Behavior Checklist) at age 3 and/or 7. The Biochemical study comprised concordant low-scoring twin pairs, concordant high-scoring twin pairs, and a discordant low-high scoring twin pairs. High aggression was defined as having an ASEBA CBCL Aggression Syndrome Scale T-score equal to or larger than 65, and low aggression as an ASEBA CBCL Aggression Syndrome Scale T-score of less than 65. Here, data collection comprised of first-morning urine samples and buccal-cell DNA samples in the twins and family members living at the same address as the participating twin pairs were also asked to provide a buccal-cell DNA sample. During the urine and buccal-cell collection, parents of the twins were asked to complete the ASEBA CBCL for school-aged children (6-18 years) to reflect the current child behaviors, and to provide information about health condition of the twins and conditions of urine collection. Biochemical measurement in urine included a dipstick, density (specific gravity), creatinine, neopterin, C-peptide, Substance P, oxidized DNA/RNA, procalcitonin, total antioxidant capacity, and glucose, and two metabolomics platforms: 1) a liquid chromatography mass spectrometry (LC-MS) platform targeting amines; and 2) a LC-MS platform targeting steroid hormones. Buccal-cell samples were genotyped on the Affymetrix Axiom genotyping array. 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Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29. PMID: 29845340; PMCID: PMC6133086.', 'wave_references_identifier': 'https://doi.org/10.1007/s00787-018-1169-1', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Hagenbeek FA, Roetman PJ, Pool R, Kluft C, Harms AC, van Dongen J, Colins OF, Talens S, van Beijsterveldt CEM, Vandenbosch MMLJZ, de Zeeuw EL, Déjean S, Fanos V, Ehli EA, Davies GE, Hottenga JJ, Hankemeier T, Bartels M, Vermeiren RRJM, Boomsma DI. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Front Psychiatry. 2020 Mar 31;11:165. doi: 10.3389/fpsyt.2020.00165. PMID: 32296350; PMCID: PMC7138132.', 'wave_references_identifier': 'https://doi.org/10.3389/fpsyt.2020.00165', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. https://research.vu.nl/en/publications/omics-biomarkers-and-aggressive-behavior. ISBN: 9789493270473.', 'wave_references_identifier': 'https://hdl.handle.net/1871.1/ff5055ee-113a-45f7-a40f-8a624cef4c84', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Boomsma DI. Aggression in children: unravelling the interplay of genes and environment through (epi)genetics and metabolomics. J Pediatr Neonat Individual Med. 2015;4(2):e040251. doi: 10.7363/040251', 'wave_references_identifier': 'https://doi.org/10.7363/040251', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'PC', 'wave_subject_code_translated': 'Parent (biological and non-biological, incl. caregivers) on Child'}]}, {'wave_alternate_title': 'Main Study ACTION Biomarker Study [YC_ACTION]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The Main Study of the ACTION project (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and interventION strategies Consortium; http://www.action-euproject.eu), after the technical pilots (YC_ACTION BB1_1 and BB1_2) and the Biochemical study (YC_ACTION BB2). Here, data collection of first-morning urine samples for metabolomics biomarker discovery and buccal-cell DNA samples for (epi)genetics was conducted in a large cohort of 6-13 year old twins born between 2004 and 2011 (mean age = 9.5 years, SD = 1.9 years). Family members living at the same address as the participating twin pairs were also asked to provide a buccal-cell DNA sample. The twins were selected to be part of a concordant low-scoring twin pair, a concordant high-scoring twin pair, or a discordant twin pair. Aggression had been assessed in the past by the age-appropriate version of the CBCL (Achenbach System of Empirically Based Assessment (ASEBA) Child Behavior Checklist). During the urine and buccal-cell collection, parents of the twins were asked to complete the ASEBA CBCL for school-aged children (6-18 years) to reflect the current child behaviors, and to provide information about health condition of the twins and conditions of urine collection. Biochemical measurement in urine included a dipstick, density (specific gravity), creatinine, neopterin, C-peptide, Substance P, and oxidized DNA/RNA. Metabolomics data of the Main Study together with the samples obtained in the Biochemical Study (ACTIONBB2) were were obtained from three metabolomics platforms: 1) a liquid chromatography mass spectrometry (LC-MS) platform targeting amines; 2) a LC-MS platform targeting steroid hormones; and 3) a gas chromatography (GC) MS platform targeting organic acids. Buccal-cell samples of the twins from the Main Study together with the samples obtained in the Biochemical Study (ACTIONBB2) were used for genome-wide methylation measurement on the Infinium MethylationEPIC BeadChip Kit (after conclussion of the ACTION project additional twin pairs and siblings were also measured on this platform). DNA samples from all family members were genotyped on the Affymetrix Axiom or Illumina GSA genotyping arrays.', 'wave_end_date_collection': '2017-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2016-01-01', 'wave_title': 'YC_ACTION - BB3', 'wave_universe': '72-156', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Hagenbeek, Fiona A.', 'wave_contributor_pid': '0000-0002-8773-0430'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Vandenbosch, Marjolein M.L.J.Z.', 'wave_contributor_pid': '0000-0002-7663-1744'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}, {'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Bartels, Meike', 'wave_creator_pid': '0000-0002-9667-7555'}], 'wave_funding': [{'wave_funder_award_title': 'European Union Seventh Framework Program (FP7/2007–2013)', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '602768'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Bartels M, Hendriks A, Mauri M, Krapohl E, Whipp A, Bolhuis K, Conde LC, Luningham J, Fung Ip H, Hagenbeek F, Roetman P, Gatej R, Lamers A, Nivard M, van Dongen J, Lu Y, Middeldorp C, van Beijsterveldt T, Vermeiren R, Hankemeijer T, Kluft C, Medland S, Lundström S, Rose R, Pulkkinen L, Vuoksimaa E, Korhonen T, Martin NG, Lubke G, Finkenauer C, Fanos V, Tiemeier H, Lichtenstein P, Plomin R, Kaprio J, Boomsma DI. Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry. 2018 Sep;27(9):1105-1121. doi: 10.1007/s00787-018-1169-1. Epub 2018 May 29. PMID: 29845340; PMCID: PMC6133086.', 'wave_references_identifier': 'https://doi.org/10.1007/s00787-018-1169-1', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Hagenbeek FA, Roetman PJ, Pool R, Kluft C, Harms AC, van Dongen J, Colins OF, Talens S, van Beijsterveldt CEM, Vandenbosch MMLJZ, de Zeeuw EL, Déjean S, Fanos V, Ehli EA, Davies GE, Hottenga JJ, Hankemeier T, Bartels M, Vermeiren RRJM, Boomsma DI. Urinary Amine and Organic Acid Metabolites Evaluated as Markers for Childhood Aggression: The ACTION Biomarker Study. Front Psychiatry. 2020 Mar 31;11:165. doi: 10.3389/fpsyt.2020.00165. PMID: 32296350; PMCID: PMC7138132.', 'wave_references_identifier': 'https://doi.org/10.3389/fpsyt.2020.00165', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. https://research.vu.nl/en/publications/omics-biomarkers-and-aggressive-behavior. ISBN: 9789493270473.', 'wave_references_identifier': 'https://hdl.handle.net/1871.1/ff5055ee-113a-45f7-a40f-8a624cef4c84', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Boomsma DI. Aggression in children: unravelling the interplay of genes and environment through (epi)genetics and metabolomics. J Pediatr Neonat Individual Med. 2015;4(2):e040251. doi: 10.7363/040251', 'wave_references_identifier': 'https://doi.org/10.7363/040251', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'PC', 'wave_subject_code_translated': 'Parent (biological and non-biological, incl. caregivers) on Child'}]}, {'wave_alternate_title': ['Brain Scale measurement 1 [YC_BS1]', 'Brain Scale measurement t0', 'BrainScale age 9'], 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YC_BS1 project was the first measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS1 targeted 9-year old twins (mean age = 9.1 years, SD = 0.51 years) born between 1995 and 1996, and their 9-14 year old siblings (mean age = 11.9 years, SD = 1.16 years) born between 1990 and 1997. The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels (cortisol, luteinizing hormone, follicle-stimulating hormone, testosterone, and estrogens) were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future candidate gene and genome-wide analysis studies.', 'wave_end_date_collection': '2005-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2005-01-01', 'wave_title': 'YC_BS1', 'wave_universe': '108', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'van Leeuwen, Marieke', 'wave_contributor_pid': '0000-0003-1976-5831'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_name': 'Peper, Jiska'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': '', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '051.02.060'}, {'wave_funder_award_title': '', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '051.02.061'}, {'wave_funder_award_title': 'Spinoza Prize', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '56-464-14192'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van Soelen IL, Brouwer RM, Peper JS, van Leeuwen M, Koenis MM, van Beijsterveldt TC, Swagerman SC, Kahn RS, Hulshoff Pol HE, Boomsma DI. Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res Hum Genet. 2012 Jun;15(3):453-67. doi: 10.1017/thg.2012.4. PMID: 22856378.', 'wave_references_identifier': 'https://doi.org/10.1017/thg.2012.4', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'van Leeuwen, M. (2008). A study of cognition in pre-adolescent twins. https://research.vu.nl/en/publications/a-study-of-cognition-in-pre-adolescent-twins. ISBN: 978 90 9023637 7.', 'wave_references_identifier': 'https://hdl.handle.net/1871/13072', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Peper, J. S. (2008). The early pubertal brain: work in progress: A study on genetic and hormonal influences. https://research.vu.nl/en/publications/the-early-pubertal-brain-work-in-progress-a-study-on-genetic-and-. ISBN: 978-90-393-4917-5.', 'wave_references_identifier': 'https://hdl.handle.net/1871.1/f6c21ff1-e62d-42b3-9baf-137c698b9e71', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}]}, {'wave_alternate_title': ['Brain Scale measurement 2 [YC_BS2]', 'Brain Scale measurement t1', 'BrainScale age 12'], 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YC_BS2 project was the second measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS2 took place three years after the baseline (YC_BS1) and targeted 12-year old twins (mean age = 12.2 years, SD = 0.3 years) born between 1995 and 1996 and their 9-18 year old siblings (mean age = 14.8 years, SD = 1.3 years) born between 1990 and 1997. The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels (cortisol, luteinizing hormone, follicle-stimulating hormone, testosterone, and estrogens) were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future candidate gene and genome-wide analysis studies.', 'wave_end_date_collection': '2009-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2007-01-01', 'wave_title': 'YC_BS2', 'wave_universe': '144', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_name': 'van Soelen, Inge'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Spinoza Prize', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '56-464-14192'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van Soelen IL, Brouwer RM, Peper JS, van Leeuwen M, Koenis MM, van Beijsterveldt TC, Swagerman SC, Kahn RS, Hulshoff Pol HE, Boomsma DI. Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res Hum Genet. 2012 Jun;15(3):453-67. doi: 10.1017/thg.2012.4. PMID: 22856378.', 'wave_references_identifier': 'https://doi.org/10.1017/thg.2012.4', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'van Soelen, I. L. C. (2011). Genetics of Structural Brain Development and Cognition in Childhood and Early Adolescence. https://research.vu.nl/en/publications/genetics-of-structural-brain-development-and-cognition-in-childho. ISBN: 978-90-6464-498-6.', 'wave_references_identifier': 'https://hdl.handle.net/1871/23946', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}]}, {'wave_alternate_title': ['Brain Scale measurement 3 [YC_BS3]', 'Brain Scale measurement t2', 'BrainScale age 17'], 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YC_BS3 project was the third measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS3 took place eight years after the baseline (YC_BS1) and targeted 17-year old twins (mean age = 16.85 years, SD = 0.36 years) born between 1995 and 1996 and their 17-22 old siblings (mean age = 19.26 years, SD = 1.30 years) born between 1990 and 1997..... The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future genetic association studies.', 'wave_end_date_collection': '2014-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2012-01-01', 'wave_title': 'YC_BS3', 'wave_universe': '204', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': '', 'wave_contributor_identifier_type': '', 'wave_contributor_name': 'Swagerman, Suzanne', 'wave_contributor_pid': ''}, {'wave_contributor_affiliation': 'Utrecht University', 'wave_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Koenis, Marinka', 'wave_contributor_pid': '0000-0002-3859-3847'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '433-09-220'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van Soelen IL, Brouwer RM, Peper JS, van Leeuwen M, Koenis MM, van Beijsterveldt TC, Swagerman SC, Kahn RS, Hulshoff Pol HE, Boomsma DI. Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res Hum Genet. 2012 Jun;15(3):453-67. doi: 10.1017/thg.2012.4. PMID: 22856378.', 'wave_references_identifier': 'https://doi.org/10.1017/thg.2012.4', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Swagerman, S. C. (2016). Cognitive performance across the lifespan and domains.', 'wave_references_identifier': 'https://hdl.handle.net/1871/54246', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Koenis, M. M. G. (2017). Adolescent brain development - A longitudinal twin study into structural brain development and its relation to hormone levels and intelligence. https://research.vu.nl/en/publications/adolescent-brain-development-a-longitudinal-study-into-structural. ISBN: 978-94-6299-623-6.', 'wave_references_identifier': 'https://hdl.handle.net/1871.1/4369a1fc-358f-48f4-ba45-2b981d657afc', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}]}, {'wave_alternate_title': 'DISC-IV DSM diagnosis of ADHD and multi-informant CBCL-AP syndrome scores [YC_DSC]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The purpose of the YC_DSC project was to investigate the relation between Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) diagnosis of ADHD and Child Behavioral Checklist Attention Problems (CBCL-AP) scores. Twins were selected based on their maternal CBCL-AP scores at ages 7, 10 and 12 (mean age = 11.7 years, SD = 0.78 years). Twin pairs were selected if at least one of the twins scored high on AP (affected pairs), or if both twins scored low on AP (control pairs). In families that agreed to participate, the mother of the twins was interviewed by telephone with the Diagnostic Interview Schedule for Children (DISC-IV). Other surveys that were collected are the CBCL, SWAN and YSR. Mouth swabs were used to collect buccal cell samples, from which DNA was extracted.', 'wave_end_date_collection': '2005-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2002-01-01', 'wave_title': 'YC_DSC', 'wave_universe': '120-156', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Derks, Eske M.', 'wave_contributor_pid': '0000-0002-6292-6883'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Investigator Initiated Research Grant (R01)', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': 'MH58799-03'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569.', 'wave_references_identifier': 'https://doi.org/10.1016/j.comppsych.2005.05.006', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders.', 'wave_references_identifier': 'https://hdl.handle.net/1871/10547', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Derks EM, Hudziak JJ, Dolan CV, van Beijsterveldt TC, Verhulst FC, Boomsma DI. Genetic and environmental influences on the relation between attention problems and attention deficit hyperactivity disorder. Behav Genet. 2008 Jan;38(1):11-23. doi: 10.1007/s10519-007-9178-8. Epub 2007 Dec 12. PMID: 18074222; PMCID: PMC2226020.', 'wave_references_identifier': 'https://doi.org/10.1007/s10519-007-9178-8', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'MC', 'wave_subject_code_translated': 'Mother (biological or non-biological) on Child'}]}, {'wave_alternate_title': 'Determinants of adolescent exercise behavior - the psychological response to exercise [YE_FITNSS]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YE_FITNSS project aimed to investigate determinants of adolescent exercise behavior in a sample of healthy 16-18 year old twins born between 1993 and 1999 (mean age = 17.1 years, SD = .67 years) and their 12-25 year old siblings born between 1988 and 2000 (mean age = 17.2 years, SD = 3.24 years). Body composition was measured, as well as physical fitness (standing jump, hand grip, sit-and reach flexibility, balance tests). Impulsiveness of the subjects was assessed by the delay discounting questionnaire. Regular voluntary exercise behavior was measured by a short lifestyle interview. While being equipped with a VU University Ambulatory Monitoring System (VU-AMS) and Cosmed device, the subjects performed two submaximal exercise tests and one maximal exercise test. The VU-AMS device records electrocardiogram (ECG) data and impedance cardiogram (ICG) data. The Cosmed device measures oxygen consumption (VO2) and carbon dioxide production (VCO2). VO2max (endurance capacity) was derived during the maximal exercise test. Before, during and after the exercise tests, subjects filled out the Activation-Deactivation Adjective Checklist (AD ACL), Feeling Scale (FS) and the Borg’s Rating of Perceived Exertion (RPE) at multiple time points. These questionnaires determined the subjects’ affective response to exercise. DNA was collected through buccal swabs to determine zygosity.', 'wave_end_date_collection': '2014-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2012-01-01', 'wave_title': 'YE_FITNSS', 'wave_universe': '192-216', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Schutte, Nienke M.', 'wave_contributor_pid': '0000-0002-8064-2569'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Nederend, Ineke', 'wave_contributor_pid': '0000-0003-1873-9922'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'de Geus, Eco J. C.', 'wave_creator_pid': '0000-0001-6022-2666'}, {'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Bartels, Meike', 'wave_creator_pid': '0000-0002-9667-7555'}], 'wave_funding': [{'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '1R01DK092127-01'}, {'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': 'RO1DK-092127'}, {'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '022.003.010'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Schutte, N. M. (2017). Unraveling the genetic components of voluntary exercise behavior in adolescents and young adults. https://research.vu.nl/en/publications/unraveling-the-genetic-components-of-voluntary-exercise-behavior-. ISBN: 9789463322126.', 'wave_references_identifier': 'https://hdl.handle.net/1871/55350', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}]}, {'wave_alternate_title': 'MRI-based research into problem behaviors in twins [YC_ADHMRI]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'In the ADHD-MRI project, the genetic and environmental influence on ADHD related neurobiological changes were investigated in monozygotic twins (mean age = 14.9 years, SD = 1.2 years) who were born between 1986 and 1993. Twins were selected based on their Child Behavior Checklist Attention Problems (CBCL-AP) scores obtained in the regular YNTR survey waves and divided into three groups: discordant pairs (one affected, one unaffected), concordant pairs (both affected) and control pairs (both unaffected). To determine the presence of ADHD, mothers of the participants were interviewed with the Diagnostic Interview Schedule for Children (DISC-IV). Additionally, they filled in two behavioral questionnaires (CBCL and Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN)). The twins filled in the Youth Self Report (YSR). Based on the outcome of the interview and questionnaires, twin pairs that were found eligible for the MRI experiments were invited. Both structural and functional MRI (color-stroop and flanker tasks) were performed. DNA was collected to confirm zygosity.', 'wave_end_date_collection': '2007-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2003-01-01', 'wave_title': 'YC_ADHMRI', 'wave_universe': '180', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Derks, Eske M.', 'wave_contributor_pid': '0000-0002-6292-6883'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Investigator Initiated Research Grant (R01)', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': 'MH58799-03'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569.', 'wave_references_identifier': 'https://doi.org/10.1016/j.comppsych.2005.05.006', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders.', 'wave_references_identifier': 'https://hdl.handle.net/1871/10547', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': "van 't Ent D, Lehn H, Derks EM, Hudziak JJ, Van Strien NM, Veltman DJ, De Geus EJ, Todd RD, Boomsma DI. A structural MRI study in monozygotic twins concordant or discordant for attention/hyperactivity problems: evidence for genetic and environmental heterogeneity in the developing brain. Neuroimage. 2007 Apr 15;35(3):1004-20. doi: 10.1016/j.neuroimage.2007.01.037. Epub 2007 Feb 8. PMID: 17346990; PMCID: PMC1939804.", 'wave_references_identifier': 'https://doi.org/10.1016/j.neuroimage.2007.01.037', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': "van 't Ent D, van Beijsterveldt CE, Derks EM, Hudziak JJ, Veltman DJ, Todd RD, Boomsma DI, De Geus EJ. Neuroimaging of response interference in twins concordant or discordant for inattention and hyperactivity symptoms. Neuroscience. 2009 Nov 24;164(1):16-29. doi: 10.1016/j.neuroscience.2009.01.056. Epub 2009 Feb 3. PMID: 19409224; PMCID: PMC2760677.", 'wave_references_identifier': 'https://doi.org/10.1016/j.neuroscience.2009.01.056', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'MC', 'wave_subject_code_translated': 'Mother (biological or non-biological) on Child'}]}, {'wave_alternate_title': 'Cognitive abilities of 18-year-old twins [YE_COG18]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YE_COG18 project is the fifth measurement of a longitudinal study into the development of intelligence and problem behaviour (waves one and two not included in this catalogue, wave 3: YE_COG10, wave 4: YE_COG12), to which additional participants were recruited (twins with siblings and their parents). It targeted 18-year old twins (mean age = 18.1 years, SD = 0.5 years) born between 1986 and 1991, their 8-35 year old siblings (mean age = 18.8 years, SD = 4.9 years) born between 1970 and 1998, and their parents (mean age = 48.9 years, SD = 4.14 years) born between 1942 and 1965. The test protocol consisted of a physical part and a psychological part. Physical measurements included cardiovascular functioning (assessed with the VU-AMS device), a physical examination with basic anthropometric measurements and the collection of saliva, DNA and fingerprints. The psychological part consisted of a series of cognitive tests that measured the following abilities: intelligence (Wechsler Intelligence Scale for Children, WISC-R or Revised Amsterdamse Kinder Intelligentie Test, RAKIT); inhibition (Stroop); spontaneous production of words (Verbal fluency); verbal learning and memory (California Verbal Learning Task, CVLT); emotion recognition (Reading the mind in the eyes); perceptual speed (Π inspection time task); spatial short term memory (n-back task and Corsi block tapping task). Furthermore, some questionnaires were administered to the participants (Autism-Spectrum Quotient, Tanner self-report), mothers of the twins (Social Responsiveness Scale) and research assistants (Test Observation form).', 'wave_end_date_collection': '2006-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2004-01-01', 'wave_title': 'YE_COG18', 'wave_universe': '216', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Hoekstra, Rosa A.', 'wave_contributor_pid': '0000-0002-1333-9762'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Estourgie-van Burk, Frederiek', 'wave_contributor_pid': '0000-0001-7562-641X'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Spinoza Prize', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '56-464-14192'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Hoekstra, R. A. (2007). Autistic traits, withdrawn behaviour and cognition: a longitudinal twin study from early childhood to young adulthood. https://research.vu.nl/en/publications/autistic-traits-withdrawn-behaviour-and-cognition-a-longitudinal-.', 'wave_references_identifier': 'https://hdl.handle.net/1871/33194', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Estourgie-van Burk, G. F. (2011). Variation in growth and the influence of early growth in later life: a twin-sibling study. https://research.vu.nl/en/publications/variation-in-growth-and-the-influence-of-early-growth-in-later-li. ISBN: 9789086595532.', 'wave_references_identifier': 'https://hdl.handle.net/1871/19635', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'MM', 'wave_subject_code_translated': 'Mother (biological or non-biological) on self'}, {'wave_subject_code': 'CC', 'wave_subject_code_translated': 'Child on self'}, {'wave_subject_code': 'SS', 'wave_subject_code_translated': 'Sibling (not part of multiple) on self'}, {'wave_subject_code': 'PC', 'wave_subject_code_translated': 'Parent (biological and non-biological, incl. caregivers) on Child'}, {'wave_subject_code': 'PS', 'wave_subject_code_translated': 'Parent (biological and non-biological, incl. caregivers) on Sibling (not part of multiple)'}]}, {'wave_alternate_title': 'Triplet survey age 1-2 [YS_TRIP]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'In 2008, a combination of the triplet surveys at age 1 and 2 was sent to mothers of all triplets in both YNTR and ANTR. The survey was sent to 535 mothers and was returned by 264 mothers (triplet ages ranged between 2 and 38 years, mean age = 11.9, SD = 7.0). Since 2009, the combined survey 1 and 2 serves as the first survey for newly registered triplets at age 2. The combined survey comprises items on pregnancy, gestational age, smoking and alcohol consumption during pregnancy, mode of delivery, breastfeeding, attaining milestones, and growth.', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys (up to 2019) have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2008-01-01', 'wave_title': 'YS_TRIP age 1-2', 'wave_universe': '24-456', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_name': 'YNTR administration'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_subject_codes': [{'wave_subject_code': 'MM', 'wave_subject_code_translated': 'Mother (biological or non-biological) on self'}]}]
resources	[]
tags	[]
groups	[]
relationships_as_subject	[]
relationships_as_object	[]
tracking_summary	{'total': 0, 'recent': 0}

Pubertal Development

Netherlands Twin Register Cohort study

NTR: Young Netherlands Twin Register Cohort

YS_1 Wave

YS_DHBQP Wave

YS_DHBQ14 Wave

YS_DHBQ16 Wave

YS_DHBQ18 Wave

YC_ACTION BB1_1 Wave

YC_ACTION BB1_2 Wave

YC_ACTION BB2 Wave

YC_ACTION - BB3 Wave

YC_BS1 Wave

YC_BS2 Wave

YC_BS3 Wave

YC_DSC Wave

YE_FITNSS Wave

YC_ADHMRI Wave

YE_COG18 Wave

YS_TRIP age 1-2 Wave