GC-MS organic acids
Gas chromatography mass spectrometry (GC-MS) platform targeting organic acids.
In NTR, GC-MS organic acids were measured in urine. Chromatic separation using helium as carrier gas (1,7 mL/min) was performed on a 30 × 0.25m ID column with a film thickness of 25m (HP-5MS UI). The mass spectrometer (Agilent Technologies, Waldbronn, Germany) with a single quadrupole using electron impact ionization (70 eV) was operated in SCAN mode (mass range 50–500). For more information also see: Appendix 2 of https://hdl.handle.net/1871.1/ff5055ee-113a-45f7-a40f-8a624cef4c84.
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10.0 - 13.0 years From 2014-01-01 to 2015-01-01 10.0 - 13.0 years From 2014-01-01 to 2015-01-01 6.0 - 11.0 years From 2015-01-01 to 2015-01-01 6.0 - 13.0 years From 2016-01-01 to 2017-01-01 |
| 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 |
| 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. |
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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 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. |
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| (sub) cohort | NTR: Young Netherlands Twin Register |
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| Start date wave collection | 2014-01-01 |
| End date wave collection | 2015-01-01 |
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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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| 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. |
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| (sub) cohort | NTR: Young Netherlands Twin Register |
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| Start date wave collection | 2014-01-01 |
| End date wave collection | 2015-01-01 |
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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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| 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. |
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| (sub) cohort | NTR: Young Netherlands Twin Register |
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| Start date wave collection | 2015-01-01 |
| End date wave collection | 2015-01-01 |
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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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| Additional information | |
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| 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. |
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| (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 |
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| Stage of measurement | |
| Language |
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| 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 |
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| author | None |
| author_email | None |
| creator_user_id | c79f9691-a7b3-4ff2-9bc4-deddfe1e04a3 |
| dc_additional_info | In NTR, GC-MS organic acids were measured in urine. Chromatic separation using helium as carrier gas (1,7 mL/min) was performed on a 30 × 0.25m ID column with a film thickness of 25m (HP-5MS UI). The mass spectrometer (Agilent Technologies, Waldbronn, Germany) with a single quadrupole using electron impact ionization (70 eV) was operated in SCAN mode (mass range 50–500). For more information also see: Appendix 2 of https://hdl.handle.net/1871.1/ff5055ee-113a-45f7-a40f-8a624cef4c84. |
| dc_analysis_unit | {Individual} |
| dc_cohort | NTR |
| dc_common_id | 0106_CD2 |
| id | cd57b535-af9f-4a7f-a1e5-331912b15540 |
| isopen | False |
| license_title | None |
| maintainer | None |
| maintainer_email | None |
| metadata_created | 2024-06-05T16:02:50.252674 |
| metadata_modified | 2024-06-20T09:21:03.734163 |
| name | 77c84e6c9b041c52d4123804ae9deea9 |
| notes | Gas chromatography mass spectrometry (GC-MS) platform targeting organic acids. |
| num_resources | 0 |
| num_tags | 0 |
| organization | {'id': 'f72b4b9a-0834-4d4f-b697-fbb2172893c9', '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 CD2 portal, 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': '2023-07-19T07:02:49.135596', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'} |
| owner_org | f72b4b9a-0834-4d4f-b697-fbb2172893c9 |
| private | False |
| state | active |
| title | GC-MS organic acids |
| 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': 'Boomsma, Dorret I.', '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_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/nm9z-8k32'}] |
| dc_constructs | [{'dc_construct': 'physiology'}] |
| dc_labels | [{'dc_label': 'amino acid'}, {'dc_label': 'biomarker'}, {'dc_label': 'carboxylic acid'}, {'dc_label': 'metabolomics'}, {'dc_label': 'neurotransmitter'}, {'dc_label': 'metabolite'}, {'dc_label': 'tca cycle'}, {'dc_label': 'omics'}, {'dc_label': 'biological sample'}, {'dc_label': 'urine'}] |
| dc_measurement_references | [{'dc_measurements_references_citation': 'Hagenbeek, F. A. (2022). Omics, Biomarkers, and Aggressive Behavior. [PhD-Thesis - Research and graduation internal, Vrije Universiteit Amsterdam]. proefschrift-aio.nl. https://hdl.handle.net/1871.1/ff5055ee-113a-45f7-a40f-8a624cef4c84'}] |
| 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': 72}, {'measure_age_month': 73}, {'measure_age_month': 74}, {'measure_age_month': 75}, {'measure_age_month': 76}, {'measure_age_month': 77}, {'measure_age_month': 78}, {'measure_age_month': 79}, {'measure_age_month': 80}, {'measure_age_month': 81}, {'measure_age_month': 82}, {'measure_age_month': 83}, {'measure_age_month': 84}, {'measure_age_month': 85}, {'measure_age_month': 86}, {'measure_age_month': 87}, {'measure_age_month': 88}, {'measure_age_month': 89}, {'measure_age_month': 90}, {'measure_age_month': 91}, {'measure_age_month': 92}, {'measure_age_month': 93}, {'measure_age_month': 94}, {'measure_age_month': 95}, {'measure_age_month': 96}, {'measure_age_month': 97}, {'measure_age_month': 98}, {'measure_age_month': 99}, {'measure_age_month': 100}, {'measure_age_month': 101}, {'measure_age_month': 102}, {'measure_age_month': 103}, {'measure_age_month': 104}, {'measure_age_month': 105}, {'measure_age_month': 106}, {'measure_age_month': 107}, {'measure_age_month': 108}, {'measure_age_month': 109}, {'measure_age_month': 110}, {'measure_age_month': 111}, {'measure_age_month': 112}, {'measure_age_month': 113}, {'measure_age_month': 114}, {'measure_age_month': 115}, {'measure_age_month': 116}, {'measure_age_month': 117}, {'measure_age_month': 118}, {'measure_age_month': 119}, {'measure_age_month': 120}, {'measure_age_month': 121}, {'measure_age_month': 122}, {'measure_age_month': 123}, {'measure_age_month': 124}, {'measure_age_month': 125}, {'measure_age_month': 126}, {'measure_age_month': 127}, {'measure_age_month': 128}, {'measure_age_month': 129}, {'measure_age_month': 130}, {'measure_age_month': 131}, {'measure_age_month': 132}, {'measure_age_month': 133}, {'measure_age_month': 134}, {'measure_age_month': 135}, {'measure_age_month': 136}, {'measure_age_month': 137}, {'measure_age_month': 138}, {'measure_age_month': 139}, {'measure_age_month': 140}, {'measure_age_month': 141}, {'measure_age_month': 142}, {'measure_age_month': 143}, {'measure_age_month': 144}, {'measure_age_month': 145}, {'measure_age_month': 146}, {'measure_age_month': 147}, {'measure_age_month': 148}, {'measure_age_month': 149}, {'measure_age_month': 150}, {'measure_age_month': 151}, {'measure_age_month': 152}, {'measure_age_month': 153}, {'measure_age_month': 154}, {'measure_age_month': 155}, {'measure_age_month': 156}] |
| 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': 'Dutch Research Council'}, {'study_funder': 'Dutch Research Council'}, {'study_funder': 'Dutch Research Council'}], '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': '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': 'European Research Council', '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': 'C', 'wave_subject_code_translated': 'Child'}]}, {'wave_alternate_title': 'Wave 2 Technical Pilot ACTION Biomarker Study [YC_ACTION]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': '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.', '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': 'European Research Council', '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': 'C', 'wave_subject_code_translated': '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. ', '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': '2015-01-01', 'wave_title': 'YC_ACTION BB2', 'wave_universe': '72-132', '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': 'European Research Council', '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': 'C', 'wave_subject_code_translated': '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': 'European Research Council', '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': 'C', 'wave_subject_code_translated': 'Child'}]}] |
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| tags | [] |
| groups | [] |
| relationships_as_subject | [] |
| relationships_as_object | [] |
| tracking_summary | {'total': 0, 'recent': 0} |