Genetic Risk Assessment of Type 2 Diabetes–Associated Polymorphisms in African Americans

Author:

Cooke Jessica N.123,Ng Maggie C.Y.23,Palmer Nicholette D.234,An S. Sandy234,Hester Jessica M.235,Freedman Barry I.6,Langefeld Carl D.7,Bowden Donald W.2348

Affiliation:

1. Program in Molecular Medicine and Translational Science, Wake Forest School of Medicine, Winston-Salem, North Carolina

2. Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina

3. Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina

4. Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina

5. Program in Molecular Genetics and Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina

6. Department of Internal Medicine–Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina

7. Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina

8. Department of Internal Medicine–Section on Endocrinology, Wake Forest School of Medicine, Winston-Salem, North Carolina

Abstract

OBJECTIVE Multiple single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2D) susceptibility have been identified in predominantly European-derived populations. These SNPs have not been extensively investigated for individual and cumulative effects on T2D risk in African Americans. RESEARCH DESIGN AND METHODS Seventeen index T2D risk variants were genotyped in 2,652 African American case subjects with T2D and 1,393 nondiabetic control subjects. Individual SNPs and cumulative risk allele loads were assessed for association with risk for T2D. Cumulative risk was assessed by counting risk alleles and evaluating the difference in cumulative risk scores between case subjects and control subjects. A second analysis weighted risk scores (ln [OR]) based on previously reported European-derived effect sizes. RESULTS Frequencies of risk alleles ranged from 8.6 to 99.9%. Eleven SNPs had ORs >1, and 5 from ADAMTS9, WFS1, CDKAL1, JAZF1, and TCF7L2 trended or had nominally significant evidence of T2D association (P < 0.05). Individuals carried between 13 and 29 risk alleles. Association was observed between T2D and increase in risk allele load (unweighted OR 1.04 [95% CI 1.01–1.08], P = 0.010; weighted 1.06 [1.03–1.10], P = 8.10 × 10−5). When TCF7L2 SNP rs7903146 was included as a covariate, the risk score was no longer associated with T2D in either model (unweighted 1.02 [0.98–1.05], P = 0.33; weighted 1.02 [0.98–1.06], P = 0.40). CONCLUSIONS The trend of increase in risk for T2D with increasing risk allele load is similar to observations in European-derived populations; however, these analyses indicate that T2D genetic risk is primarily mediated through the effect of TCF7L2 in African Americans.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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