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

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
{"title":"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","authors":"Rodrigo San-Cristobal, Juan de Toro-Martín, Marie-Claude Vohl","doi":"10.1159/000531181","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Gene-lifestyle interaction studies using genome-wide association studies (GWAS) data contribute to a better understanding of individual responses to environmental exposures.</p><p><strong>Objectives: </strong>Herein, we aimed at assessing the biological significance of overlapping genes reported in gene-lifestyle interaction studies in cardiometabolic health.</p><p><strong>Method: </strong>A heuristic analysis of genes reporting significant interactions related to cardiometabolic traits was performed to determine the biological pathways common to the different traits.</p><p><strong>Results: </strong>A total of 873 genes were analyzed. Fine and condensed phenotypic solutions were obtained from overlapping genes common to more than one trait.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":" ","pages":"106-112"},"PeriodicalIF":2.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits.\",\"authors\":\"Rodrigo San-Cristobal, Juan de Toro-Martín, Marie-Claude Vohl\",\"doi\":\"10.1159/000531181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Gene-lifestyle interaction studies using genome-wide association studies (GWAS) data contribute to a better understanding of individual responses to environmental exposures.</p><p><strong>Objectives: </strong>Herein, we aimed at assessing the biological significance of overlapping genes reported in gene-lifestyle interaction studies in cardiometabolic health.</p><p><strong>Method: </strong>A heuristic analysis of genes reporting significant interactions related to cardiometabolic traits was performed to determine the biological pathways common to the different traits.</p><p><strong>Results: </strong>A total of 873 genes were analyzed. Fine and condensed phenotypic solutions were obtained from overlapping genes common to more than one trait.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":18030,\"journal\":{\"name\":\"Lifestyle Genomics\",\"volume\":\" \",\"pages\":\"106-112\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lifestyle Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000531181\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/6/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lifestyle Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000531181","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/20 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Heuristic Approach Uncovering Biological Significance of Gene-Lifestyle Interactions in Cardiometabolic Traits.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Lifestyle Genomics
Lifestyle Genomics Agricultural and Biological Sciences-Food Science
CiteScore
4.00
自引率
7.70%
发文量
11
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.
期刊最新文献
Guidance and position of RINN22 regarding precision nutrition and nutriomics. Erratum. Application of gut bacterial profiling information in precision nutrition for obesity and weight loss management Role of Presurgical Gut Microbial Diversity in Roux-en-Y Gastric Bypass Weight-Loss Response: A Cohort Study. The Molecular Basis of Olfactory Dysfunction in COVID-19 and Long COVID.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1