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Diabetes Care DOI:10.2337/dc14-0560

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

Publication TypeJournal Article
Year of Publication2014
AuthorsWalford, GA, Porneala, BC, Dauriz, M, Vassy, JL, Cheng, S, Rhee, EP, Wang, TJ, Meigs, JB, Gerszten, RE, Florez, JC
JournalDiabetes Care
Volume37
Issue9
Pages2508-14
Date Published2014 Sep
ISSN1935-5548
KeywordsArea Under Curve, Diabetes Mellitus, Type 2, Female, Genetic Predisposition to Disease, Humans, Logistic Models, Male, Metabolome, Middle Aged, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Risk Factors
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.

URLhttp://care.diabetesjournals.org/cgi/pmidlookup?view=long&pmid=24947790
DOI10.2337/dc14-0560
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/24947790?dopt=Abstract

Alternate JournalDiabetes Care
PubMed ID24947790
PubMed Central IDPMC4140156
Grant ListR01 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