Toggle Main Menu Toggle Search

Open Access padlockePrints

Combining information from common type 2 diabetes risk polymorphisms improves disease prediction

Lookup NU author(s): Professor Mark Walker

Downloads


Abstract

Background: A limited number of studies have assessed the risk of common diseases when combining information from several predisposing polymorphisms. In most cases, individual polymorphisms only moderately increase risk (∼20%), and they are thought to be unhelpful in assessing individuals' risk clinically. The value of analyzing multiple alleles simultaneously is not well studied. This is often because, for any given disease, very few common risk alleles have been confirmed. Methods and Findings: Three common variants (Lys23 of KCNJ11, Pro12 of PPARG, and the T allele at rs7903146 of TCF7L2) have been shown to predispose to type 2 diabetes mellitus across many large studies. Risk allele frequencies ranged from 0.30 to 0.88 in controls. To assess the combined effect of multiple susceptibility alleles, we genotyped these variants in a large case-control study (3,668 controls versus 2,409 cases). Individual allele odds ratios (ORs) ranged from 1.14 (95% confidence interval [CI], 1.05 to 1.23) to 1.48 (95% CI, 1.36 to 1.60). We found no evidence of gene-gene interaction, and the risks of multiple alleles were consistent with a multiplicative model. Each additional risk allele increased the odds of type 2 diabetes by 1.28 (95% CI, 1.21 to 1.35) times. Participants with all six risk alleles had an OR of 5.71 (95% CI, 1.15 to 28.3) compared to those with no risk alleles. The 8.1% of participants that were double-homozygous for the risk alleles at TCF7L2 and Pro12Ala had an OR of 3.16 (95% CI, 2.22 to 4.50), compared to 4.3% with no TCF7L2 risk alleles and either no or one Glu23Lys or Pro12Ala risk alleles. Conclusions: Combining information from several known common risk polymorphisms allows the identification of population subgroups with markedly differing risks of developing type 2 diabetes compared to those obtained using single polymorphisms. This approach may have a role in future preventative measures for common, polygenic diseases. © 2006 Weedon et al.


Publication metadata

Author(s): Weedon MN, McCarthy MI, Hitman G, Walker M, Groves CJ, Zeggini E, Rayner NW, Shields B, Owen KR, Hattersley AT, Frayling TM

Publication type: Article

Publication status: Published

Journal: PLoS Medicine

Year: 2006

Volume: 3

Issue: 10

Pages: e374 (1877-1882)

Print publication date: 01/10/2006

ISSN (print): 1549-1277

ISSN (electronic): 1549-1676

Publisher: Public Library of Science

URL: http://dx.doi.org/10.1371/journal.pmed.0030374

DOI: 10.1371/journal.pmed.0030374


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
G0000934Medical Research Council
G0500070Medical Research Council

Share