Metabolite traits and genetic risk provide complementary information for the prediction of future type 2 diabetes.

Diabetes Care
Authors
Keywords
Abstract

OBJECTIVE: A genetic risk score (GRS) comprised of single nucleotide polymorphisms (SNPs) and metabolite biomarkers have each been shown, separately, to predict incident type 2 diabetes. We tested whether genetic and metabolite markers provide complementary information for type 2 diabetes prediction and, together, improve the accuracy of prediction models containing clinical traits.

RESEARCH DESIGN AND METHODS: Diabetes risk was modeled with a 62-SNP GRS, nine metabolites, and clinical traits. We fit age- and sex-adjusted logistic regression models to test the association of these sources of information, separately and jointly, with incident type 2 diabetes among 1,622 initially nondiabetic participants from the Framingham Offspring Study. The predictive capacity of each model was assessed by area under the curve (AUC).

RESULTS: Two hundred and six new diabetes cases were observed during 13.5 years of follow-up. The AUC was greater for the model containing the GRS and metabolite measurements together versus GRS or metabolites alone (0.820 vs. 0.641, P

CONCLUSIONS: Metabolite and genetic traits provide complementary information to each other for the prediction of future type 2 diabetes. These novel markers of diabetes risk modestly improve the predictive accuracy of incident type 2 diabetes based only on traditional clinical risk factors.

Year of Publication
2014
Journal
Diabetes Care
Volume
37
Issue
9
Pages
2508-14
Date Published
2014 Sep
ISSN
1935-5548
URL
DOI
10.2337/dc14-0560
PubMed ID
24947790
PubMed Central ID
PMC4140156
Links
Grant list
R01 DK078616 / DK / NIDDK NIH HHS / United States
N01-HC-25195 / HC / NHLBI NIH HHS / United States
R01-DK-HL081572 / DK / NIDDK NIH HHS / United States
L30 DK089597 / DK / NIDDK NIH HHS / United States
K99-HL-107642 / HL / NHLBI NIH HHS / United States
R01-DK-078616 / DK / NIDDK NIH HHS / United States
R01 HL081572 / HL / NHLBI NIH HHS / United States
U01-HG006500 / HG / NHGRI NIH HHS / United States
K24 DK080140 / DK / NIDDK NIH HHS / United States
U01 DK078616 / DK / NIDDK NIH HHS / United States
K24-DK-080140 / DK / NIDDK NIH HHS / United States
U01 HG006500 / HG / NHGRI NIH HHS / United States
L30-DK-089597 / DK / NIDDK NIH HHS / United States
N01HC25195 / HL / NHLBI NIH HHS / United States
K99 HL107642 / HL / NHLBI NIH HHS / United States