Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits.

IF 2 4区医学 Q3 GENETICS & HEREDITY

Lifestyle Genomics Pub Date : 2023-01-01 Epub Date: 2023-06-20 DOI:10.1159/000531181

Rodrigo San-Cristobal, Juan de Toro-Martín, Marie-Claude Vohl

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引用次数: 0

Abstract

Background: Gene-lifestyle interaction studies using genome-wide association studies (GWAS) data contribute to a better understanding of individual responses to environmental exposures.

Objectives: Herein, we aimed at assessing the biological significance of overlapping genes reported in gene-lifestyle interaction studies in cardiometabolic health.

Method: A heuristic analysis of genes reporting significant interactions related to cardiometabolic traits was performed to determine the biological pathways common to the different traits.

Results: A total of 873 genes were analyzed. Fine and condensed phenotypic solutions were obtained from overlapping genes common to more than one trait.

Conclusions: This study revealed significant metabolic pathways associated with the impact of gene-environment interactions on cardiometabolic risk. Graphical Abstract: Publicly available data in cloud-based repositories were used to perform enrichment analyses of genes previously described in GWAS studies that showed interaction with lifestyles. From the enriched pathways, cluster analysis was performed to group enriched metabolic disorders.

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启发式方法揭示基因与生活方式相互作用对心脏代谢特征的生物学意义

背景：利用全基因组关联研究（GWAS）数据进行基因-生活方式交互作用研究有助于更好地了解个体对环境暴露的反应：在此，我们旨在评估基因-生活方式交互作用研究中报告的重叠基因对心脏代谢健康的生物学意义：方法：对报告与心脏代谢特征相关的显著交互作用的基因进行启发式分析，以确定不同特征的共同生物通路：结果：共分析了 873 个基因。结果：共分析了 873 个基因，从一个以上性状共有的重叠基因中获得了精细和浓缩的表型解决方案：这项研究揭示了与基因-环境相互作用对心脏代谢风险的影响相关的重要代谢途径。图解摘要：研究人员利用云存储库中的公开数据，对之前在GWAS研究中描述过的、与生活方式存在相互作用的基因进行了富集分析。通过对富集的通路进行聚类分析，对富集的代谢紊乱进行分组。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Lifestyle Genomics Agricultural and Biological Sciences-Food Science

CiteScore

4.00

自引率

7.70%

发文量

审稿时长

28 weeks

期刊介绍： Lifestyle Genomics aims to provide a forum for highlighting new advances in the broad area of lifestyle-gene interactions and their influence on health and disease. The journal welcomes novel contributions that investigate how genetics may influence a person’s response to lifestyle factors, such as diet and nutrition, natural health products, physical activity, and sleep, amongst others. Additionally, contributions examining how lifestyle factors influence the expression/abundance of genes, proteins and metabolites in cell and animal models as well as in humans are also of interest. The journal will publish high-quality original research papers, brief research communications, reviews outlining timely advances in the field, and brief research methods pertaining to lifestyle genomics. It will also include a unique section under the heading “Market Place” presenting articles of companies active in the area of lifestyle genomics. Research articles will undergo rigorous scientific as well as statistical/bioinformatic review to ensure excellence.