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Genome-Wide Gene by Environment Interaction Analysis Identifies Common SNPs at 17q21.2 that Are Associated with Increased Body Mass Index Only among Asthmatics

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  • Leyao Wang
  • William Murk
  • Andrew T DeWan

Abstract

Asthmatics have an increased risk of being overweight/obese. Although the underlying mechanisms of this are unclear, genetic factors are believed to play an essential role. To identify common genetic variants that are associated with asthma-related BMI increase, we performed a genome-wide gene by environment (asthma) interaction analysis for the outcome of BMI in the Multi-Ethnic Study of Atherosclerosis (MESA) study (N = 2474 Caucasians, 257 asthmatics), and replicated findings in the Framingham Heart Study (FHS) offspring cohort (N = 1408 Caucasians, 382 asthmatics). The replicable tagging SNP, rs2107212, was further examined in stratified analyses. Seven SNPs clustered in 17q21.2 were identified to be associated with higher BMI among asthmatics (interaction p

Suggested Citation

  • Leyao Wang & William Murk & Andrew T DeWan, 2015. "Genome-Wide Gene by Environment Interaction Analysis Identifies Common SNPs at 17q21.2 that Are Associated with Increased Body Mass Index Only among Asthmatics," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-14, December.
    • Handle: RePEc:plo:pone00:0144114
    DOI: 10.1371/journal.pone.0144114
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    1. Miriam F. Moffatt & Michael Kabesch & Liming Liang & Anna L. Dixon & David Strachan & Simon Heath & Martin Depner & Andrea von Berg & Albrecht Bufe & Ernst Rietschel & Andrea Heinzmann & Burkard Simma, 2007. "Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma," Nature, Nature, vol. 448(7152), pages 470-473, July.
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    1. Kenneth E. Westerman & Timothy D. Majarian & Franco Giulianini & Dong-Keun Jang & Jenkai Miao & Jose C. Florez & Han Chen & Daniel I. Chasman & Miriam S. Udler & Alisa K. Manning & Joanne B. Cole, 2022. "Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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