ID
45936
Description
Principal Investigator: David Altshuler, Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA MeSH: Type 2 Diabetes Mellitus https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000840 The Genetics of Type 2 Diabetes Consortium (GoT2D) is a collaboration between the University of Michigan, the Broad Institute and the Wellcome Trust Centre for Human Genetics. The overall aim is to extend upon recent efforts, such as genome-wide association studies (GWAS) and large scale meta-analyses. While they have proved successful at mapping genomic loci that influence human diseases, like type 2 diabetes, much of the heritability remains unexplained. In this study, we use next generation sequencing and genotyping technologies to query for lower frequency variants in the human genome. Thereby, allowing a deeper characterization of the spectrum of alleles associated with type 2 diabetes risk, and a better assessment of the genes that play a role in the etiology of type 2 diabetes development. We studied 1,326 T2D cases and 1,331 normoglycemic controls from Northern and Central Europe (Sweden, Finland, UK, and Germany). To efficiently characterize the entire genome sequence of each individual, we performed low-coverage (~5x) whole-genome sequencing, augmented by deep coverage (~100x) sequencing of the exome (Fuchsberger et al, 2016), and dense (2.5M) single nucleotide polymorphism (SNP) genotyping using the HumanOmni2.5 array. The data deposited in dbGaP will include all the Swedish, Finnish, and UK samples, but the German data will be deposited in the European Genome-phenome Archive (EGA), by virtue of the project specific funding requirements.
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Versions (1)
- 09/03/2024 09/03/2024 - Madita Rudolph
Détendeur de droits
David Altshuler, Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
Téléchargé le
9 mars 2024
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Creative Commons BY 4.0
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dbGaP phs000840 GoT2D
Subject - Sample Mapping - Sample Use
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample Mapping - Sample Use
- The dataset provides information about T2D status, blood test results, including (fasting) glucose, insulin, HDL, LDL, TG levels, use of hypertension and lipid reducing medications, in addition to height, weight, BMI, blood pressure measurements, and sociodemographic data.
- Sample Attribute Information
Similar models
Subject - Sample Mapping - Sample Use
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample Mapping - Sample Use
- The dataset provides information about T2D status, blood test results, including (fasting) glucose, insulin, HDL, LDL, TG levels, use of hypertension and lipid reducing medications, in addition to height, weight, BMI, blood pressure measurements, and sociodemographic data.
- Sample Attribute Information