Supplementary Material for: Heuristic approach uncovering biological significance of gene-lifestyle interactions in cardiometabolic traits.

Background: Gene-lifestyle interaction studies using 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 analysed. 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.

背景：采用全基因组关联研究（Genome-Wide Association Study, GWAS）数据开展的基因-生活方式交互作用研究，有助于更深入地理解个体对环境暴露的应答反应。
目的：本研究旨在评估心血管代谢健康领域基因-生活方式交互作用研究中报道的重叠基因的生物学意义。
方法：针对被报道存在与心血管代谢性状相关的显著交互作用的基因开展启发式分析，以明确不同性状共有的生物学通路。
结果：本研究共分析了873个基因。从在多个性状中共有的重叠基因中，得到了精细化且凝练的表型解决方案。
结论：本研究揭示了与基因-环境交互作用对心血管代谢风险的影响相关的重要代谢通路。