Genomics

Dataset Information

0

The Sea Islands Genetic Network (SIGNET): Identifying genetic contributors to diabetes and dyslipidemia in African Americans


ABSTRACT:

Recent genome-wide association studies (GWAS) have successfully identified genetic variants that influence diabetes risk in European populations, however most do not have a major impact on diabetes risk in populations of African descent. The African American (AA) population from the Sea Islands of coastal South Carolina and Georgia has high rates of type 2 diabetes, low levels of admixture, and in general, consume a diet rich in saturated fats. We postulate that this unique combination of ancestral and environmental factors results in a more consistent penetrance of diabetes risk alleles, as well as enrichment of risk alleles of African origin. The existing DNA samples and rich phenotypic data from the Sea Island Families Project comprise a unique resource for genetic studies of type 2 diabetes and related metabolic traits such as dyslipidemia. Our central hypothesis is that the increased risk for T2DM in AA compared with European American (EA) is due, in part, to susceptibility alleles of African origin, and that these alleles can be identified using a GWAS. The Specific Aims are to: 1) Identify genetic risk factors for type 2 diabetes utilizing DNA samples and data from the Sea Island Families Project, Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study recruited from SC, GA, NC, and AL; and a GWAS approach; 2) Identify genetic contributors to lipoprotein subclasses in African Americans using the lipoprotein subclass profile (particle size and concentration for multiple subclasses of VLDL, LDL, and HDL) assessed by NMR at LipoScience, Inc., and the GWAS data from Aim 1. The rationale for this project is that identification and validation of novel pathophysiological pathways and informed selection of candidate genes for diabetes risk will inform development of new, targeted prevention and treatment strategies in this underserved, high risk population.

PROVIDER: phs000433.v1.p1 | EGA |

REPOSITORIES: EGA

altmetric image

Publications

Enhancing recruitment of African-American families into genetic research: lessons learned from Project SuGar.

Spruill Ida J IJ  

Journal of community genetics 20100901 3


Despite some recruitment success in biomedical research among minorities, participation by African-American families into research, specifically genetic research, is lower than Caucasian families (Bowen and Penchaszadeh Community Genet 11:189-190, 2008). Such low participation rates by African-Americans prevent the exploration of specific ethnic differences in patterns of diseases and diminish the identification of specific disease risks among ethnic groups (Bowen and Penchaszadeh Community Gene  ...[more]

Publication: 1/7

Similar Datasets

| phs000433 | dbGaP
2024-05-16 | GSE260842 | GEO
2024-05-16 | GSE260833 | GEO
2011-07-31 | E-GEOD-23506 | biostudies-arrayexpress
2020-03-27 | GSE147628 | GEO
2011-08-01 | GSE23506 | GEO
2013-02-25 | E-GEOD-44271 | biostudies-arrayexpress
2016-08-23 | E-GEOD-85920 | biostudies-arrayexpress
2015-07-27 | E-GEOD-64318 | biostudies-arrayexpress
2015-07-27 | GSE64318 | GEO