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Circadian gene variants and susceptibility to type 2 diabetes: a pilot study
Authors:Kelly M Ann  Rees Simon D  Hydrie M Zafar I  Shera A Samad  Bellary Srikanth  O'Hare J Paul  Kumar Sudhesh  Taheri Shahrad  Basit Abdul  Barnett Anthony H;DIAGRAM Consortium;SATD Consortium
Institution:College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom. m.a.kelly@bham.ac.uk
Abstract:

Background

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.

Methodology/Principal Findings

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).

Conclusions/significance

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.
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