A Whole Genome Admixture Scan for Type 2 Diabetes in African Americans (RRID:SCR_006984)Copy Citation Copied
URL: http://www.broad.mit.edu/node/549
Proper Citation: A Whole Genome Admixture Scan for Type 2 Diabetes in African Americans (RRID:SCR_006984)
Description: Genomic data set on Type 2 Diabetes in African-Americans derived via admixture mapping, a method for genome-wide association analysis based on admixture-generated linkage disequilibrium. This collaborative group has identified 1,478 African Americans with Type 2 Diabetes (T2D) from the Jackson Heart Study and Multiethnic Cohort Study, as well as 498 controls from the Jackson Heart Study who are normoglycemic despite high body mass index and older age. All samples were genotyped (using the Illumina BeadLab platform) for 1,291 polymorphic markers chosen to be extremely different in frequency between west Africans and European Americans. Evidence for association to diabetes at each marker as reported by the ANCESTRYMAP software are reported in the downloadable table. They calculate that this study has statistical power to detect loci where African or European ancestry on average confers multiplicative increased risk of 1.35-fold or more. The fact that they did not detect a statistically significant signal of association in the scan suggests that any genetic risk factors for T2D do not confer different risks due to ancestry that differ by this factor. The genome scan results are publicly available (Excel file) prior to publication so that researchers interested in the genetics of T2D can use the results of the scan to prioritize follow-up of any regions of interest.
Synonyms: Diabetes Genetics Initiative
Resource Type: data set, data or information resource
Keywords: admixture, genome, gwas, disequilibrium, normoglycemic, genotyped, polymorphic, marker, diabetes, clinical study, phenotype, african american, aging
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