Genome-wide interaction with selected type 2 diabetes loci reveals novel loci for type 2 diabetes in african americans

Jacob M. Keaton, Jacklyn N. Hellwege, Maggie C.Y. Ng, Nicholette D. Palmer, James S. Pankow, Myriam Fornage, James G. Wilson, Adolfo Correa, Laura J. Rasmussen-Torvik, Jerome I. Rotter, Yii D.E.R.I. Chen, Kent D. Taylor, Stephen S. Rich, Lynne E. Wagenknecht, Barry I. Freedman, Donald W. Bowden

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9 Scopus citations


Type 2 diabetes (T2D) is the result of metabolic defects in insulin secretion and insulin sensitivity, yet most T2D loci identified to date influence insulin secretion. We hypothesized that T2D loci, particularly those affecting insulin sensitivity, can be identified through interaction with known T2D loci implicated in insulin secretion. To test this hypothesis, single nucleotide polymorphisms (SNPs) nominally associated with acute insulin response to glucose (AIR g ), a dynamic measure of first-phase insulin secretion, and previously associated with T2D in genome-wide association studies (GWAS) were identified in African Americans from the Insulin Resistance Atherosclerosis Family Study (IRASFS; n=492 subjects). These SNPs were tested for interaction, individually and jointly as a genetic risk score (GRS), using GWAS data from five cohorts (ARIC, CARDIA, JHS, MESA, WFSM; n=2,725 cases, 4,167 controls) with T2D as the outcome. In single variant analyses, suggestively significant (P interaction < 5'10 -6 ) interactions were observed at several loci including DGKB (rs978989), CDK18 (rs12126276), CXCL12 (rs7921850), HCN1 (rs6895191), FAM98A (rs1900780), and MGMT (rs568530). Notable beta-cell GRS interactions included two SNPs at the DGKB locus (rs6976381; rs6962498). These data support the hypothesis that additional genetic factors contributing to T2D risk can be identified by interactions with insulin secretion loci.

Original languageEnglish (US)
Pages (from-to)242-253
Number of pages12
JournalPacific Symposium on Biocomputing
Issue number212679
StatePublished - 2017
Event22nd Pacific Symposium on Biocomputing, PSB 2017 - Kohala Coast, United States
Duration: Jan 4 2017Jan 8 2017

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