Cook, James P and Morris, Andrew P
(2016)
Multi-ethnic genome-wide association study identifies novel locus for type 2 diabetes susceptibility.
EUROPEAN JOURNAL OF HUMAN GENETICS, 24 (8).
pp. 1175-1180.
Abstract
Genome-wide association studies (GWAS) have traditionally been undertaken in homogeneous populations from the same ancestry group. However, with the increasing availability of GWAS in large-scale multi-ethnic cohorts, we have evaluated a framework for detecting association of genetic variants with complex traits, allowing for population structure, and developed a powerful test of heterogeneity in allelic effects between ancestry groups. We have applied the methodology to identify and characterise loci associated with susceptibility to type 2 diabetes (T2D) using GWAS data from the Resource for Genetic Epidemiology on Adult Health and Aging, a large multi-ethnic population-based cohort, created for investigating the genetic and environmental basis of age-related diseases. We identified a novel locus for T2D susceptibility at genome-wide significance (P<5 × 10(-8)) that maps to TOMM40-APOE, a region previously implicated in lipid metabolism and Alzheimer's disease. We have also confirmed previous reports that single-nucleotide polymorphisms at the TCF7L2 locus demonstrate the greatest extent of heterogeneity in allelic effects between ethnic groups, with the lowest risk observed in populations of East Asian ancestry.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Humans, Diabetes Mellitus, Type 2, Apolipoproteins E, Membrane Transport Proteins, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci, Transcription Factor 7-Like 2 Protein, Mitochondrial Precursor Protein Import Complex Proteins, Asian People |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 22 Jun 2016 08:51 |
| Last Modified: | 13 Feb 2023 21:13 |
| DOI: | 10.1038/ejhg.2016.17 |
| Open Access URL: | http://www.nature.com/ejhg/journal/vaop/ncurrent/f... |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3001804 |
Dimensions
Dimensions
