4.7 Article

Replication of the association between variants in WFS1 and risk of type 2 diabetes in European populations

Journal

DIABETOLOGIA
Volume 51, Issue 3, Pages 458-463

Publisher

SPRINGER
DOI: 10.1007/s00125-007-0887-6

Keywords

association study; genetic; meta-analysis; replication; Swedish; type 2 diabetes; WFS1; Wolfram syndrome

Funding

  1. MRC [G0600331] Funding Source: UKRI
  2. Medical Research Council [G0600331, MC_U106179471] Funding Source: Medline
  3. NIDDK NIH HHS [DK72193, DK62370] Funding Source: Medline
  4. Wellcome Trust [077016] Funding Source: Medline
  5. Medical Research Council [MC_U106179471, G0600331] Funding Source: researchfish

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Aims/hypothesis Mutations at the gene encoding wolframin (WFS1) cause Wolfram syndrome, a rare neurological condition. Associations between single nucleotide polymorphisms (SNPs) at WFS1 and type 2 diabetes have recently been reported. Thus, our aim was to replicate those associations in a northern Swedish case-control study of type 2 diabetes. We also performed a meta-analysis of published and previously unpublished data from Sweden, Finland and France, to obtain updated summary effect estimates. Methods Four WFS1 SNPs (rs10010131, rs6446482, rs752854 and rs734312 [H611R]) were genotyped in a type 2 diabetes case-control study (n = 1,296/1,412) of Swedish adults. Logistic regression was used to assess the association between each WFS1 SNP and type 2 diabetes, following adjustment for age, sex and BMI. We then performed a meta-analysis of 11 studies of type 2 diabetes, comprising up to 14,139 patients and 16,109 controls, to obtain a summary effect estimate for the WFS1 variants. Results In the northern Swedish study, the minor allele at rs752854 was associated with reduced type 2 diabetes risk [odds ratio (OR) 0.85, 95% CI 0.75-0.96, p = 0.010]. Borderline statistical associations were observed for the remaining SNPs. The meta-analysis of the four independent replication studies for SNP rs10010131 and correlated variants showed evidence for statistical association (OR 0.87, 95% CI 0.82-0.93, p = 4.5 x 10(-5)). In an updated meta-analysis of all 11 studies, strong evidence of statistical association was also observed (OR 0.89, 95% CI 0.86-0.92; p = 4.9 x 10(-11)). Conclusions/interpretation In this study of WFS1 variants and type 2 diabetes risk, we have replicated the previously reported associations between SNPs at this locus and the risk of type 2 diabetes.

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