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Circadian gene variants and susceptibility to type 2 diabetes : a pilot study

Authors :
Muhammad Zafar Hydrie
Eleftheria Zeggini
Anna Gloyn
Michael Weedon
Chidambaram Manickam
Torben Jørgensen
Amanda Bennett
Yurii Aulchenko
Andrew Hattersley
Christian Dina
Shahrad Taheri
Claudia Langenberg
SRIKANTH BELLARY
Rafn Benediktsson
Nabi Shah
Prasad Katulanda
Philippe Froguel
Cornelia Van Duijn
David Couper
Jana Van Vliet-Ostaptchouk
Winston Hide
Thomas Meitinger
Sudhesh Kumar
Richard Bergman
Cecilia Lindgren
Igor Rudan
Source :
PLoS ONE, PLoS ONE, Vol 7, Iss 4, p e32670 (2012)
Publication Year :
2012
Publisher :
PLOS, 2012.

Abstract

Background\ud Disruption of endogenous circadian rhythms has been shown to increase the risk of developing type 2 diabetes, suggesting that circadian genes might play a role in determining disease susceptibility. We present the results of a pilot study investigating the association between type 2 diabetes and selected single nucleotide polymorphisms (SNPs) in/near nine circadian genes. The variants were chosen based on their previously reported association with prostate cancer, a disease that has been suggested to have a genetic link with type 2 diabetes through a number of shared inherited risk determinants.\ud \ud Methodology/Principal Findings\ud The pilot study was performed using two genetically homogeneous Punjabi cohorts, one resident in the United Kingdom and one indigenous to Pakistan. Subjects with (N = 1732) and without (N = 1780) type 2 diabetes were genotyped for thirteen circadian variants using a competitive allele-specific polymerase chain reaction method. Associations between the SNPs and type 2 diabetes were investigated using logistic regression. The results were also combined with in silico data from other South Asian datasets (SAT2D consortium) and white European cohorts (DIAGRAM+) using meta-analysis. The rs7602358G allele near PER2 was negatively associated with type 2 diabetes in our Punjabi cohorts (combined odds ratio [OR] = 0.75 [0.66–0.86], p = 3.18×10−5), while the BMAL1 rs11022775T allele was associated with an increased risk of the disease (combined OR = 1.22 [1.07–1.39], p = 0.003). Neither of these associations was replicated in the SAT2D or DIAGRAM+ datasets, however. Meta-analysis of all the cohorts identified disease associations with two variants, rs2292912 in CRY2 and rs12315175 near CRY1, although statistical significance was nominal (combined OR = 1.05 [1.01–1.08], p = 0.008 and OR = 0.95 [0.91–0.99], p = 0.015 respectively).\ud \ud Conclusions/significance\ud None of the selected circadian gene variants was associated with type 2 diabetes with study-wide significance after meta-analysis. The nominal association observed with the CRY2 SNP, however, complements previous findings and confirms a role for this locus in disease susceptibility.

Details

Language :
English
ISSN :
19326203
Database :
OpenAIRE
Journal :
PLoS ONE, PLoS ONE, Vol 7, Iss 4, p e32670 (2012)
Accession number :
edsair.doi.dedup.....e8052f1bf9d6587c4137a819ec8bb8fb