1. Genome‐wide interaction with the insulin secretion locus MTNR1B reveals CMIP as a novel type 2 diabetes susceptibility gene in African Americans
- Author
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Keaton, Jacob M, Gao, Chuan, Guan, Meijian, Hellwege, Jacklyn N, Palmer, Nicholette D, Pankow, James S, Fornage, Myriam, Wilson, James G, Correa, Adolfo, Rasmussen‐Torvik, Laura J, Rotter, Jerome I, Chen, Yii‐Der I, Taylor, Kent D, Rich, Stephen S, Wagenknecht, Lynne E, Freedman, Barry I, Ng, Maggie CY, and Bowden, Donald W
- Subjects
Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Minority Health ,Nutrition ,Clinical Research ,Prevention ,Diabetes ,Human Genome ,Obesity ,2.1 Biological and endogenous factors ,Metabolic and endocrine ,Adaptor Proteins ,Signal Transducing ,Adult ,Black or African American ,Aged ,Body Mass Index ,Case-Control Studies ,Diabetes Mellitus ,Type 2 ,Epistasis ,Genetic ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Insulin ,Insulin Secretion ,Male ,Middle Aged ,Models ,Genetic ,Polymorphism ,Single Nucleotide ,Receptor ,Melatonin ,MT2 ,gene-gene interactions ,insulin resistance ,insulin sensitivity ,Public Health and Health Services - Abstract
Although type 2 diabetes (T2D) results from metabolic defects in insulin secretion and insulin sensitivity, most of the genetic risk loci identified to date relates to insulin secretion. We reported that T2D loci influencing insulin sensitivity may be identified through interactions with insulin secretion loci, thereby leading to T2D. Here, we hypothesize that joint testing of variant main effects and interaction effects with an insulin secretion locus increases power to identify genetic interactions leading to T2D. We tested this hypothesis with an intronic MTNR1B SNP, rs10830963, which is associated with acute insulin response to glucose, a dynamic measure of insulin secretion. rs10830963 was tested for interaction and joint (main + interaction) effects with genome-wide data in African Americans (2,452 cases and 3,772 controls) from five cohorts. Genome-wide genotype data (Affymetrix Human Genome 6.0 array) was imputed to a 1000 Genomes Project reference panel. T2D risk was modeled using logistic regression with rs10830963 dosage, age, sex, and principal component as predictors. Joint effects were captured using the Kraft two degrees of freedom test. Genome-wide significant (P
- Published
- 2018