ID
45780
Beschrijving
Principal Investigator: David Altshuler, Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA MeSH: Diabetes Mellitus, Type 2 https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001097 T2D-GENES (Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Multi-Ethnic Samples) is a NIDDK-funded international research consortium which seeks to identify genetic variants for type 2 diabetes (T2D) through multiethnic sequencing studies. T2D-GENES Project 1 is a multi-ethnic sequencing study designed to assess whether less common variants play a role in T2D risk and to assess similarities and differences in the distribution of T2D risk variants across ancestry groups. The individuals were obtained from 14 cohorts that are listed in Table 1. The strategy was to perform deep exome sequencing of 12,940 individuals, 6,504 with T2D and 6,436 controls, divided among five ancestry groups: Europeans, East Asians, South Asians, American Hispanics, and African Americans. Sequencing was performed at the Broad Institute using the Agilent v2 capture reagent on Illumina HiSeq machines. Please note that while we summarize the full sample list in publications and below, the Kooperative Gesundheitsforschung in der Region Augsburg (KORA) study does not have a sub study, as it is not consented to be deposited in dbGAP. *Table 1.* T2D-GENES Whole Exome Sequencing Studies table border="1" tr th*Ancestry*/th th*Study*/th th*Countries of Origin*/th th*# Cases*/th th*# Controls*/th /tr tr tdAfrican American/td tdJackson Heart Study/td tdUS/td td502/td td527/td /tr tr tdAfrican American/td tdWake Forest School of Medicine Study/td tdUS/td td518/td td532/td /tr tr tdEast Asian/td tdKorea Association Research Project/td tdKorea/td td526/td td561/td /tr tr tdEast Asian/td tdSingapore Diabetes Cohort Study; Singapore Prospective Study Program/td tdSingapore (Chinese)/td td486/td td592/td /tr tr tdEuropean/td tdAshkenazi/td tdUS, Israel/td td506/td td352/td /tr tr tdEuropean/td tdMetabolic Syndrome in Men Study (METSIM)/td tdFinland/td td484/td td498/td /tr tr tdEuropean/td tdFinland-United States Investigation of NIDDM Genetics (FUSION) Study/td tdFinland/td td472/td td476/td /tr tr tdEuropean/td tdKooperative Gesundheitsforschung in der Region Augsburg (KORA)/td tdGermany/td td97/td td90/td /tr tr tdEuropean/td tdUK Type 2 Diabetes Genetics Consortium (UKT2D)/td tdUK/td td322/td td320/td /tr tr tdEuropean/td tdMalmö-Botnia Study/td tdFinland, Sweden/td td478/td td443/td /tr tr tdHispanic/td tdSan Antonio Family Heart Study, San Antonio Family Diabetes/ Gallbladder Study, Veterans Administration Genetic Epidemiology Study, and the Investigation of Nephropathy and Diabetes Study Family Component/td tdUS/td td272/td td219/td /tr tr tdHispanic/td tdStarr County, Texas/td tdUS/td td749/td td704/td /tr tr tdSouth Asian/td tdLondon Life Sciences Population Study (LOLIPOP)/td tdUK (Indian Asian)/td td530/td td538/td /tr tr tdSouth Asian/td tdSingapore Indian Eye Study/td tdSingapore (Indian Asian)/td td563/td td585/td /tr /table The Singapore studies contributed 1049 cases and 1177 controls to T2D-GENES Project 1.
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- 20-06-23 20-06-23 - Chiara Middel
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David Altshuler, Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
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20 juni 2023
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dbGaP phs001097 T2D-GENES Multi-Ethnic Exome Sequencing Study: Singapore
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample Mapping - Sample Use
- The dataset provides information about T2D status, blood test results, including glucose, HbA1c, insulin, lipid, creatinine levels, in addition to height, weight, BMI, and blood pressure measurements, and sociodemographic data.
- Sample Attribute Information
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample Mapping - Sample Use
- The dataset provides information about T2D status, blood test results, including glucose, HbA1c, insulin, lipid, creatinine levels, in addition to height, weight, BMI, and blood pressure measurements, and sociodemographic data.
- Sample Attribute Information
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C0949543 (UMLS CUI [1,3])
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