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Gene-Gene Interactions Lead to Higher Risk for Development of Type 2 Diabetes in an Ashkenazi Jewish Population

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Listed:
  • Rosalind J Neuman
  • Jon Wasson
  • Gil Atzmon
  • Julio Wainstein
  • Yair Yerushalmi
  • Joseph Cohen
  • Nir Barzilai
  • Ilana Blech
  • Benjamin Glaser
  • M Alan Permutt

Abstract

Background: Evidence has accumulated that multiple genetic and environmental factors play important roles in determining susceptibility to type 2 diabetes (T2D). Although variants from candidate genes have become prime targets for genetic analysis, few studies have considered their interplay. Our goal was to evaluate interactions among SNPs within genes frequently identified as associated with T2D. Methods/Principal Findings: Logistic regression was used to study interactions among 4 SNPs, one each from HNF4A[rs1884613], TCF7L2[rs12255372], WFS1[rs10010131], and KCNJ11[rs5219] in a case-control Ashkenazi sample of 974 diabetic subjects and 896 controls. Nonparametric multifactor dimensionality reduction (MDR) and generalized MDR (GMDR) were used to confirm findings from the logistic regression analysis. HNF4A and WFS1 SNPs were associated with T2D in logistic regression analyses [P

Suggested Citation

  • Rosalind J Neuman & Jon Wasson & Gil Atzmon & Julio Wainstein & Yair Yerushalmi & Joseph Cohen & Nir Barzilai & Ilana Blech & Benjamin Glaser & M Alan Permutt, 2010. "Gene-Gene Interactions Lead to Higher Risk for Development of Type 2 Diabetes in an Ashkenazi Jewish Population," PLOS ONE, Public Library of Science, vol. 5(3), pages 1-6, March.
    • Handle: RePEc:plo:pone00:0009903
    DOI: 10.1371/journal.pone.0009903
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    Cited by:

    1. Guo-Bo Chen & Yi Xu & Hai-Ming Xu & Ming D Li & Jun Zhu & Xiang-Yang Lou, 2011. "Practical and Theoretical Considerations in Study Design for Detecting Gene-Gene Interactions Using MDR and GMDR Approaches," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-9, February.

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