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. 2014 Oct 26:7:21.
doi: 10.1186/1756-0381-7-21. eCollection 2014.

CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits

Laurence D Parnell  1 , Britt A Blokker  1 , Hassan S Dashti  1 , Paula-Dene Nesbeth  1 , Brittany Elle Cooper  1 , Yiyi Ma  1 , Yu-Chi Lee  1 , Ruixue Hou  1 , Chao-Qiang Lai  1 , Kris Richardson  1 , José M Ordovás  1
Affiliations

CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits

Laurence D Parnell et al. BioData Min. .

Abstract

Background: Genetic understanding of complex traits has developed immensely over the past decade but remains hampered by incomplete descriptions of contribution to phenotypic variance. Gene-environment (GxE) interactions are one of these contributors and in the guise of diet and physical activity are important modulators of cardiometabolic phenotypes and ensuing diseases.

Results: We mined the scientific literature to collect GxE interactions from 386 publications for blood lipids, glycemic traits, obesity anthropometrics, vascular measures, inflammation and metabolic syndrome, and introduce CardioGxE, a gene-environment interaction resource. We then analyzed the genes and SNPs supporting cardiometabolic GxEs in order to demonstrate utility of GxE SNPs and to discern characteristics of these important genetic variants. We were able to draw many observations from our extensive analysis of GxEs. 1) The CardioGxE SNPs showed little overlap with variants identified by main effect GWAS, indicating the importance of environmental interactions with genetic factors on cardiometabolic traits. 2) These GxE SNPs were enriched in adaptation to climatic and geographical features, with implications on energy homeostasis and response to physical activity. 3) Comparison to gene networks responding to plasma cholesterol-lowering or regression of atherosclerotic plaques showed that GxE genes have a greater role in those responses, particularly through high-energy diets and fat intake, than do GWAS-identified genes for the same traits. Other aspects of the CardioGxE dataset were explored.

Conclusions: Overall, we demonstrate that SNPs supporting cardiometabolic GxE interactions often exhibit transcriptional effects or are under positive selection. Still, not all such SNPs can be assigned potential functional or regulatory roles often because data are lacking in specific cell types or from treatments that approximate the environmental factor of the GxE. With research on metabolic related complex disease risk embarking on genome-wide GxE interaction tests, CardioGxE will be a useful resource.

Keywords: Cardiovascular diseases; Diet; Gene-environment interaction; Genetic variants; Phenotypic variance; Physical activity; Type 2 diabetes.

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