Genotyping (array)
Assessment of micro-satellite markers, single nucleotide polymorphisms (SNP), and variable number (short) tandem repeats (VNTRs) as obtained through genotyping arrays.
In Generation R, zygosity typing was done based on micro-satellite markers, single nucleotide polymorphisms (SNP), or variable number (short) tandem repeats (VNTRs) in cord blood.
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0 months From 2002-01-01 to 2006-12-31 |
| Mode of collection | MeasurementsAndTests Biological sample/measurement |
| Analysis unit | Individual |
| Instrument name | Single nucleotide polymorphisms (SNP) and variable number (short) tandem repeats (VNTRs) |
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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 |
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| Description | Generation R Next is a population-based prospective cohort study from preconception onwards in Rotterdam, the Netherlands. The Generation R Next Study is designed to identify periconceptional environmental and health determinants that influence embryonic and early fetal development, and the consequences early fetal adaptations for the child’s later life health. Women living in the Rotterdam area, the Netherlands, with the wish to conceive or those who were pregnant at the time, were eligible for enrollment between 2017 and 2021. After birth, the children and their parents have been followed up until age 1 years, with the aim to also collect data at later ages in childhood. |
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| Country code | NL |
| Geographic location | 3010-3070 |
| Lowest geographic reference | postal code |
| Highest geographic reference | city |
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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 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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| author | None |
| author_email | None |
| creator_user_id | c79f9691-a7b3-4ff2-9bc4-deddfe1e04a3 |
| dc_additional_info | In Generation R, zygosity typing was done based on micro-satellite markers, single nucleotide polymorphisms (SNP), or variable number (short) tandem repeats (VNTRs) in cord blood. |
| dc_analysis_unit | {Individual} |
| dc_cohort | GenR |
| dc_common_id | 0108_CD2 |
| dc_instrument_name | Single nucleotide polymorphisms (SNP) and variable number (short) tandem repeats (VNTRs) |
| id | a46201b2-4038-4dab-ae5f-999242f35fd0 |
| isopen | False |
| license_title | None |
| maintainer | None |
| maintainer_email | None |
| metadata_created | 2024-06-05T15:25:49.220930 |
| metadata_modified | 2024-09-19T16:49:11.622586 |
| name | 0f5b862558fcad37c6355b395c7120db |
| notes | Assessment of micro-satellite markers, single nucleotide polymorphisms (SNP), and variable number (short) tandem repeats (VNTRs) as obtained through genotyping arrays. |
| num_resources | 0 |
| num_tags | 0 |
| organization | {'id': '1156de4f-1c41-4a84-ae49-288224631562', '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': '2023-07-19T07:03:36.373415', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'} |
| owner_org | 1156de4f-1c41-4a84-ae49-288224631562 |
| private | False |
| state | active |
| title | Genotyping (array) |
| 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. 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'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_pid': '0000-0001-9898-923X'}, {'cohort_creator': 'Nijsten, T.', '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_pid': '0000-0001-9940-2875'}, {'cohort_creator': 'Pardo Cortes, L.', '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': '', 'cohort_creator_identifier_type': '', 'cohort_creator_pid': ''}, {'cohort_creator': 'Peeters, R.P.', '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_pid': '0000-0002-1226-2011'}, {'cohort_creator': 'Raat, H.', '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_pid': '0000-0002-6000-7445'}, {'cohort_creator': 'Reiss, I.K.M.', 'cohort_creator_affiliation': 'Erasmus MC', 'cohort_creator_affiliation_identifier': 'https://ror.org/018906e22', 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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_pid': '0000-0003-2830-6813'}, {'cohort_creator': 'Wolvius, E.B.', '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_pid': '0000-0002-5159-3497'}, {'cohort_creator': 'van Schaik, R.H.N.', '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_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'}]}] |
| dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/p58m-z952'}] |
| dc_constructs | [{'dc_construct': 'physiology'}] |
| dc_labels | [{'dc_label': 'omics'}, {'dc_label': 'genomics'}, {'dc_label': 'genetics'}, {'dc_label': 'dna'}, {'dc_label': 'single nucleotide polymorphism'}, {'dc_label': 'gwas'}, {'dc_label': 'polygenic risk score'}, {'dc_label': 'ancestry'}, {'dc_label': 'biological sample'}, {'dc_label': 'genotyping'}, {'dc_label': 'pcs'}] |
| dc_measurement_references | [{'dc_measurements_references_citation': 'Kruithof, C. J., Kooijman, M. N., van Duijn, C. M., Franco, O. H., de Jongste, J. C., Klaver, C. C. W., Mackenbach, J. P., Moll, H. A., Raat, H., Rings, E. H. H. M., Rivadeneira, F., Steegers, E. A. P., Tiemeier, H., Uitterlinden, A. G., Verhulst, F. C., Wolvius, E. B., Hofman, A., & Jaddoe, V. W. V. (2014). The Generation R Study: Biobank update 2015. European Journal of Epidemiology, 29(12), 911–927. https://doi.org/10.1007/s10654-014-9980-6\n', 'dc_measurements_references_doi': 'https://doi.org/10.1007/s10654-014-9980-6'}] |
| 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}] |
| 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_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': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Bonsel, G.J.', 'study_pi_pid': '0000-0002-8364-1086'}, {'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': '', 'study_pi_identifier_type': '', 'study_pi_name': 'Büller, H.A.', 'study_pi_pid': ''}, {'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': 'van Duijn, C.M.', 'study_pi_pid': '0000-0002-2374-9204'}, {'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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| resources | [] |
| tags | [] |
| groups | [] |
| relationships_as_subject | [] |
| relationships_as_object | [] |
| tracking_summary | {'total': 0, 'recent': 0} |