LC-MS lipidomics
Liquid chromatography mass spectrometry (LC-MS) platform targeting lipid species.
Plasma lipids were measured using high-performance liquid chromatography mass spectrometry (HPLC-MS). Chromatic separation was done on a Alltech Prosphere C4 300Å HPLC column (150x3.2 mm, i.d., 5μm, Alltech, Lexington, KY) and a Symmetry 300 C4 guard column (10x2.1 mm i.d., 3.5μm; Waters, Milford, MA) coupled to an TSQ Quantum Discovery Triple Quadropule mass spectrometer (ThermoFinnigan, Breda, The Netherlands). For more information see: https://doi.org/10.1089/omi.2007.0048, https://doi.org/10.1021/ac902346a and https://doi.org/10.1038/ejhg.2012.110.
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18.0 years From 2004-01-01 to 2006-01-01 |
Mode of collection | MeasurementsAndTests Biological sample/measurement |
Analysis unit | Individual |
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Measure was collected within the following cohort 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. |
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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). |
Measure was collected within the following cohort(s):
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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. |
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Country code | NL |
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Lowest geographic reference | postal code |
Highest geographic reference | country |
Cohort universe description | Families with twins or other multiples under the age of 18. |
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Time method | Longitudinal.CohortEventBased |
Measure was collected within the following wave(s):
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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). |
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(sub) cohort | NTR: Young Netherlands Twin Register |
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Start date wave collection | 2004-01-01 |
End date wave collection | 2006-01-01 |
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Description of physical data product | Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. |
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author | None |
author_email | None |
creator_user_id | 34768773-4537-4d74-8d9d-11e2b32cbbaf |
dc_additional_info | Plasma lipids were measured using high-performance liquid chromatography mass spectrometry (HPLC-MS). Chromatic separation was done on a Alltech Prosphere C4 300Å HPLC column (150x3.2 mm, i.d., 5μm, Alltech, Lexington, KY) and a Symmetry 300 C4 guard column (10x2.1 mm i.d., 3.5μm; Waters, Milford, MA) coupled to an TSQ Quantum Discovery Triple Quadropule mass spectrometer (ThermoFinnigan, Breda, The Netherlands). For more information see: https://doi.org/10.1089/omi.2007.0048, https://doi.org/10.1021/ac902346a and https://doi.org/10.1038/ejhg.2012.110. |
dc_analysis_unit | {Individual} |
dc_cohort | NTR |
dc_common_id | 0111_CD2 |
id | 948a2fe7-b623-4468-bf7a-09ef24617b0b |
isopen | False |
license_title | None |
maintainer | None |
maintainer_email | None |
metadata_created | 2024-10-17T12:40:34.894528 |
metadata_modified | 2024-10-20T12:52:36.542812 |
name | 70331ae856f65ea1281ce3b4b1ccc27f |
notes | Liquid chromatography mass spectrometry (LC-MS) platform targeting lipid species. |
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 | LC-MS lipidomics |
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': '10.60641/8m0h-ft73'}] |
dc_constructs | [{'dc_construct': 'physiology'}] |
dc_labels | [{'dc_label': 'biomarker'}, {'dc_label': 'metabolite'}, {'dc_label': 'metabolomics'}, {'dc_label': 'lipidomics'}, {'dc_label': 'triglyceride'}, {'dc_label': 'sphingomyelin'}, {'dc_label': 'phosphatidylcholine'}, {'dc_label': 'cholesteryl ester'}, {'dc_label': 'plasma'}, {'dc_label': 'blood sample'}, {'dc_label': 'biological sample'}, {'dc_label': 'omics'}] |
dc_measurement_references | [{'dc_measurements_references_citation': 'Draisma, H. H. M., Reijmers, T. H., Bobeldijk-Pastorova, I., Meulman, J. J., Estourgie-Van Burk, G. F., Bartels, M., Ramaker, R., van der Greef, J., Boomsma, D. I., & Hankemeier, T. (2008). Similarities and Differences in Lipidomics Profiles among Healthy Monozygotic Twin Pairs. OMICS: A Journal of Integrative Biology, 12(1), 17–31. https://doi.org/10.1089/omi.2007.0048\n', 'dc_measurements_references_doi': 'https://doi.org/10.1089/omi.2007.0048'}, {'dc_measurements_references_citation': 'Draisma, H. H. M., Reijmers, T. H., van der Kloet, F., Bobeldijk-Pastorova, I., Spies-Faber, E., Vogels, J. T. W. E., Meulman, J. J., Boomsma, D. I., van der Greef, J., & Hankemeier, T. (2010). Equating, or Correction for Between-Block Effects with Application to Body Fluid LC−MS and NMR Metabolomics Data Sets. Analytical Chemistry, 82(3), 1039–1046. https://doi.org/10.1021/ac902346a\n', 'dc_measurements_references_doi': 'https://doi.org/10.1021/ac902346a'}, {'dc_measurements_references_citation': 'Draisma, H. H., Reijmers, T. H., Meulman, J. J., van der Greef, J., Hankemeier, T., & Boomsma, D. I. (2012). Hierarchical clustering analysis of blood plasma lipidomics profiles from mono- and dizygotic twin families. European Journal of Human Genetics, 21(1), 95–101. https://doi.org/10.1038/ejhg.2012.110\n', 'dc_measurements_references_doi': 'https://doi.org/10.1038/ejhg.2012.110'}] |
dc_modes_of_collection | [{'dc_mode_of_collection': 'MeasurementsAndTests'}] |
dc_modes_of_collection_sub | [{'dc_mode_of_collection_sub': 'Biological sample/measurement'}] |
measure_age_range | [{'measure_age_month': 216}] |
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': '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': 'C', 'wave_subject_code_translated': 'Child'}, {'wave_subject_code': 'S', 'wave_subject_code_translated': 'Sibling (not part of multiple)'}]}] |
resources | [] |
tags | [] |
groups | [] |
relationships_as_subject | [] |
relationships_as_object | [] |
tracking_summary | {'total': 0, 'recent': 0} |