PuSH - Publikationsserver des Helmholtz Zentrums München: Updated genetic score based on 34 confirmed type 2 diabetes loci is associated with diabetes incidence and regression to normoglycemia in the diabetes prevention program.

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Hivert, M.F.* ; Jablonski, K.A.* ; Perreault, L.* ; Saxena, R.* ; McAteer, J.B.* ; Franks, P.W.* ; Hamman, R.F.* ; Kahn, S.E.* ; Haffner, S* ; DIAGRAM Consortium (Huth, C. ; Grallert, H. ; Gieger, C. ; Klopp, N. ; Meitinger, T. ; Petersen, A.-K. ; Thorand, B. ; Wichmann, H.-E. ; Illig, T.) ; Meigs, J.B.* ; Altshuler, D.* ; Knowler, W.C.* ; Florez, J.C*

Updated genetic score based on 34 confirmed type 2 diabetes loci is associated with diabetes incidence and regression to normoglycemia in the diabetes prevention program.

Diabetes 60, 1340-1348 (2011)

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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

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Over 30 loci have been associated with risk of type 2 diabetes at genome-wide statistical significance. Genetic risk scores (GRSs) developed from these loci predict diabetes in the general population. We tested if a GRS based on an updated list of 34 type 2 diabetes-associated loci predicted progression to diabetes or regression toward normal glucose regulation (NGR) in the Diabetes Prevention Program (DPP). RESEARCH DESIGN AND METHODS: We genotyped 34 type 2 diabetes-associated variants in 2,843 DPP participants at high risk of type 2 diabetes from five ethnic groups representative of the U.S. population, who had been randomized to placebo, metformin, or lifestyle intervention. We built a GRS by weighting each risk allele by its reported effect size on type 2 diabetes risk and summing these values. We tested its ability to predict diabetes incidence or regression to NGR in models adjusted for age, sex, ethnicity, waist circumference, and treatment assignment.RESULTS: In multivariate-adjusted models, the GRS was significantly associated with increased risk of progression to diabetes (hazard ratio [HR] = 1.02 per risk allele [95% CI 1.00-1.05]; P = 0.03) and a lower probability of regression to NGR (HR = 0.95 per risk allele [95% CI 0.93-0.98]; P < 0.0001). At baseline, a higher GRS was associated with a lower insulinogenic index (P < 0.001), confirming an impairment in β-cell function. We detected no significant interaction between GRS and treatment, but the lifestyle intervention was effective in the highest quartile of GRS (P < 0.0001). CONCLUSIONS: A high GRS is associated with increased risk of developing diabetes and lower probability of returning to NGR in high-risk individuals, but a lifestyle intervention attenuates this risk.

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