LC-MS amino acids and carnitines
Liquid chromatography mass spectrometry (LC-MS) platform targeting amines.
In Generation R, amino acids and carnitines were measured from blood samples.
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0 months - 6 months From 2002-01-01 to 2005-12-31 0 months From 2002-01-01 to 2006-12-31 8.7 - 12.5 years From 2012-01-01 to 2016-12-31 |
| Mode of collection | MeasurementsAndTests Biological sample/measurement |
| Analysis unit | Individual |
| Instrument name | LC-MS amines |
| References |
Measure was collected within the following cohort study:
| Purpose | The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children. |
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| Time method | Longitudinal |
| Universe | Youth, and their parents, from the general population followed since prenatal life until young adulthood, all born in Rotterdam, the Netherlands. |
Measure was collected within the following cohort(s):
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| Description | The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic pathways leading to normal and abnormal growth, development and health. An important focus of Generation R is to identify early life determinants of common (mostly non-communicable) diseases in adulthood. Pregnant women living in the Rotterdam area, the Netherlands, were included between 2002 and 2006. After birth, the children and their parents have been followed in multiple assessment waves up until young adulthood. |
| Purpose | The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children. |
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| Country code | NL |
| Geographic location | 3010-3070 |
| Lowest geographic reference | postal code |
| Highest geographic reference | city |
| Cohort universe description | Pregnant women living in the Rotterdam area, the Netherlands, were included between 2002 and 2006. After birth, the children and their parents have been followed in multiple assessment waves up until young adulthood. |
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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 Early pregnancy wave consisted of questionnaires, ultrasound, biological samples and hands-on measures in pregnant women in the first trimester of their pregnancy (on average 13.5 weeks' gestation). |
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| (sub) cohort | Generation R: Generation R |
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| Start date wave collection | 2002-01-01 |
| End date wave collection | 2005-12-31 |
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| Description of physical data product | Digital files, biological samples |
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| Short description of the wave | The Birth wave consisted of data from birth records and cord blood samples taken at birth. |
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| (sub) cohort | Generation R: Generation R |
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| Start date wave collection | 2002-01-01 |
| End date wave collection | 2006-12-31 |
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| Description of physical data product | Digital files, biological samples |
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| Short description of the wave | The 9-10 years wave consisted of parent and child self-reported questionnaires, brain imaging, behavioral assessments, blood samples and anthropometrics measured at a visit to the research center around the age of 10 years (mean age: 9.7 years). |
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| (sub) cohort | Generation R: Generation R |
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| Start date wave collection | 2012-01-01 |
| End date wave collection | 2016-12-31 |
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| Description of physical data product | Digital files, biological samples |
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| author | None |
| author_email | None |
| creator_user_id | 34768773-4537-4d74-8d9d-11e2b32cbbaf |
| dc_additional_info | In Generation R, amino acids and carnitines were measured from blood samples. |
| dc_analysis_unit | {Individual} |
| dc_cohort | GenR |
| dc_common_id | 0110_CD2 |
| dc_instrument_name | LC-MS amines |
| id | e14187e0-ddab-4365-bc74-acb80fd4c1fd |
| isopen | False |
| license_title | None |
| maintainer | None |
| maintainer_email | None |
| metadata_created | 2024-10-17T12:27:46.038755 |
| metadata_modified | 2024-10-20T12:44:49.739071 |
| name | 894fc485ce6d54ecec3148d075070102 |
| notes | Liquid chromatography mass spectrometry (LC-MS) platform targeting amines. |
| num_resources | 0 |
| num_tags | 0 |
| organization | {'id': '8dee8702-82b1-4d76-ba66-bdb5f4b47fa4', 'name': 'gen-r', 'title': 'Generation R', 'type': 'organization', 'description': 'The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic pathways leading to normal and abnormal growth, development and health. An important focus of Generation R is to identify early life determinants of common (mostly non-communicable) diseases in adulthood. Pregnant women living in the Rotterdam area, the Netherlands, were included between 2002 and 2006. After birth, the children and their parents have been followed in multiple assessment waves up until young adulthood.', 'image_url': 'https://data.individualdevelopment.nl/img/logo_genr.png', 'created': '2024-10-17T13:43:46.407045', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'} |
| owner_org | 8dee8702-82b1-4d76-ba66-bdb5f4b47fa4 |
| private | False |
| state | active |
| title | LC-MS amino acids and carnitines |
| type | measure |
| cohort | [{'cohort_alternate_title': ['GenR ', 'Gen-R'], 'cohort_description': 'The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic pathways leading to normal and abnormal growth, development and health. An important focus of Generation R is to identify early life determinants of common (mostly non-communicable) diseases in adulthood. Pregnant women living in the Rotterdam area, the Netherlands, were included between 2002 and 2006. After birth, the children and their parents have been followed in multiple assessment waves up until young adulthood. ', 'cohort_language': 'NL', 'cohort_purpose': 'The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children.', 'cohort_spatial_country_code': 'NL', 'cohort_spatial_geographic_location': '3010-3070', 'cohort_spatial_highest_reference': 'city', 'cohort_spatial_lowest_reference': 'postal code', 'cohort_time_method': 'Longitudinal.CohortEventBased', 'cohort_title': 'Generation R: Generation R', 'cohort_universe': 'Pregnant women living in the Rotterdam area, the Netherlands, were included between 2002 and 2006. After birth, the children and their parents have been followed in multiple assessment waves up until young adulthood. 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'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': '', 'cohort_creator_identifier_type': '', 'cohort_creator_name': 'Pardo Cortes, L.', 'cohort_creator_pid': ''}, {'cohort_creator_affiliation': 'Erasmus MC', 'cohort_creator_affiliation_identifier': 'https://ror.org/018906e22', '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': 'Peeters, R.P.', 'cohort_creator_pid': '0000-0002-1226-2011'}, {'cohort_creator_affiliation': 'Erasmus MC', 'cohort_creator_affiliation_identifier': 'https://ror.org/018906e22', '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', 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'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': 'van Schaik, R.H.N.', 'cohort_creator_pid': '0000-0003-1864-2151'}], 'cohort_funding': [{'cohort_funder': 'All funders are listed via the Generation R website', 'cohort_funder_identifier': 'https://generationr.nl/algemeen/donateurs/', 'cohort_funder_identifier_type': 'url'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/018906e22', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Erasmus MC'}], 'cohort_references': [{'cohort_reference_citation': 'Growth, development and health from early fetal life until young adulthood: the Generation R Study', 'cohort_reference_identifier': 'https://doi.org/10.1111/j.1365-3016.2003.00521.x', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': '\xa0The Generation R Study: Design and cohort profile', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-006-9022-0', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'The Generation R Study Biobank: a resource for epidemiological studies in children and their parents', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-007-9209-z', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'The Generation R Study: design and cohort update until the age of 4 years', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-008-9309-4', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'The Generation R Study: design and cohort update 2010', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-010-9516-7', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': '\xa0The Generation R Study: design and cohort update 2012', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-012-9735-1', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-013-9768-0', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'The Generation R Study: Biobank update 2015', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-014-9980-6', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'The Generation R Study: design and cohort update 2017', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-016-0224-9', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}] |
| dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/56q4-2x44'}] |
| dc_constructs | [{'dc_construct': 'physiology'}] |
| dc_labels | [{'dc_label': 'amine'}, {'dc_label': 'amino acid'}, {'dc_label': 'aromatic amine'}, {'dc_label': 'biomarker'}, {'dc_label': 'metabolite'}, {'dc_label': 'metabolomics'}, {'dc_label': 'neurotransmitter'}, {'dc_label': 'urine'}, {'dc_label': 'omics'}, {'dc_label': 'biological sample'}] |
| dc_measurement_references | [{'dc_measurements_references_citation': 'Voerman, E., Jaddoe, V. W. V., Uhl, O., Shokry, E., Horak, J., Felix, J. F., Koletzko, B., & Gaillard, R. (2020). A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study. Metabolomics, 16(4). https://doi.org/10.1007/s11306-020-01667-1\n', 'dc_measurements_references_doi': 'https://doi.org/10.1007/s11306-020-01667-1'}] |
| 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': 0}, {'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}] |
| study | [{'study_alternate_title': ['Generation R', 'Gen-R'], 'study_language': 'NL', 'study_purpose': 'The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children.', 'study_time_method': 'Longitudinal', 'study_universe': 'Youth, and their parents, from the general population followed since prenatal life until young adulthood, all born in Rotterdam, the Netherlands.', 'title': 'The Generation R Study', 'study_contact': [{'study_contact_affiliation': 'Erasmus MC', 'study_contact_mail': 'generationr@erasmusmc.nl', 'study_contact_name': 'Generation R Data Management'}], 'study_contributor': [{'study_contributor_affiliation': 'Erasmus MC', 'study_contributor_affiliation_identifier': 'https://ror.org/018906e22', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_type': 'url', 'study_contributor_name': 'The Generation R Study Group', 'study_contributor_pid': 'https://generationr.nl/algemeen/organisatie/'}], 'study_data_access': [{'study_data_access_URL': 'https://generationr.nl/', 'study_data_access_description': 'Data access requests can be directed to the data management team of the Generation R Study (generationr@erasmusmc.nl), which has a protocol for approving data requests. Because of restrictions based on privacy regulations and informed consent of participants, data cannot be made freely available in a public repository.'}], 'study_funding': [{'study_funder': 'All funders are listed via the Generation R website', 'study_funder_identifier': 'https://generationr.nl/algemeen/donateurs/', 'study_funder_identifier_type': 'url'}], 'study_principal_investigators': [{'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', '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': 'Bierma - Zeinstra, S.M.A.', 'study_pi_pid': '0000-0003-1280-5896'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 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