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

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 ar...

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Autores principales: Parnell, Laurence D, Blokker, Britt A, Dashti, Hassan S, Nesbeth, Paula-Dene, Cooper, Brittany Elle, Ma, Yiyi, Lee, Yu-Chi, Hou, Ruixue, Lai, Chao-Qiang, Richardson, Kris, Ordovás, José M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217104/
https://www.ncbi.nlm.nih.gov/pubmed/25368670
http://dx.doi.org/10.1186/1756-0381-7-21
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author Parnell, Laurence D
Blokker, Britt A
Dashti, Hassan S
Nesbeth, Paula-Dene
Cooper, Brittany Elle
Ma, Yiyi
Lee, Yu-Chi
Hou, Ruixue
Lai, Chao-Qiang
Richardson, Kris
Ordovás, José M
author_facet Parnell, Laurence D
Blokker, Britt A
Dashti, Hassan S
Nesbeth, Paula-Dene
Cooper, Brittany Elle
Ma, Yiyi
Lee, Yu-Chi
Hou, Ruixue
Lai, Chao-Qiang
Richardson, Kris
Ordovás, José M
author_sort Parnell, Laurence D
collection PubMed
description 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.
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spelling pubmed-42171042014-11-04 CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits Parnell, Laurence D Blokker, Britt A Dashti, Hassan S Nesbeth, Paula-Dene Cooper, Brittany Elle Ma, Yiyi Lee, Yu-Chi Hou, Ruixue Lai, Chao-Qiang Richardson, Kris Ordovás, José M BioData Min Research 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. BioMed Central 2014-10-26 /pmc/articles/PMC4217104/ /pubmed/25368670 http://dx.doi.org/10.1186/1756-0381-7-21 Text en Copyright © 2014 Parnell et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Parnell, Laurence D
Blokker, Britt A
Dashti, Hassan S
Nesbeth, Paula-Dene
Cooper, Brittany Elle
Ma, Yiyi
Lee, Yu-Chi
Hou, Ruixue
Lai, Chao-Qiang
Richardson, Kris
Ordovás, José M
CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits
title CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits
title_full CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits
title_fullStr CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits
title_full_unstemmed CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits
title_short CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits
title_sort cardiogxe, a catalog of gene-environment interactions for cardiometabolic traits
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217104/
https://www.ncbi.nlm.nih.gov/pubmed/25368670
http://dx.doi.org/10.1186/1756-0381-7-21
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