Abstract
We performed gene–environment interaction genome-wide association analysis (G × E GWAS) to identify SNPs whose effects on metabolic traits are modified by chronic psychosocial stress in the Multi-Ethnic Study of Atherosclerosis (MESA). In Whites, the G × E GWAS for hip circumference identified five SNPs within the Early B-cell Factor 1 (EBF1) gene, all of which were in strong linkage disequilibrium. The gene-by-stress interaction (SNP × STRESS) term P-values were genome-wide significant (Ps=7.14E−09 to 2.33E−08, uncorrected; Ps=1.99E−07 to 5.18E−07, corrected for genomic control). The SNP-only (without interaction) model P-values (Ps=0.011–0.022) were not significant at the conventional genome-wide significance level. Further analysis of related phenotypes identified gene-by-stress interaction effects for waist circumference, body mass index (BMI), fasting glucose, type II diabetes status, and common carotid intimal–medial thickness (CCIMT), supporting a proposed model of gene-by-stress interaction that connects cardiovascular disease (CVD) risk factor endophenotypes such as central obesity and increased blood glucose or diabetes to CVD itself. Structural equation path analysis suggested that the path from chronic psychosocial stress to CCIMT via hip circumference and fasting glucose was larger (estimate=0.26, P=0.033, 95% CI=0.02–0.49) in the EBF1 rs4704963 CT/CC genotypes group than the same path in the TT group (estimate=0.004, P=0.34, 95% CI=−0.004–0.012). We replicated the association of the EBF1 SNPs and hip circumference in the Framingham Offspring Cohort (gene-by-stress term P-values=0.007–0.012) as well as identified similar path relationships. This observed and replicated interaction between psychosocial stress and variation in the EBF1 gene may provide a biological hypothesis for the complex relationship between psychosocial stress, central obesity, diabetes, and cardiovascular disease.
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Acknowledgements
This work was supported by NIH/NHLBI grants HL095987 (to Shah), HL073389-01 (to Hauser), and HL036587 (to Williams). The MESA and Framingham data sets were obtained from NIH dbGaP.
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Redford B Williams is a founder of and stockholder in Williams LifeSkills, Inc. The other authors declare no conflict of interest.
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Singh, A., Babyak, M., Nolan, D. et al. Gene by stress genome-wide interaction analysis and path analysis identify EBF1 as a cardiovascular and metabolic risk gene. Eur J Hum Genet 23, 854–862 (2015). https://doi.org/10.1038/ejhg.2014.189
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DOI: https://doi.org/10.1038/ejhg.2014.189
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