{"title":"Genetics unravels protein–metabolite relationships","authors":"James R. Hilser, Aldons J. Lusis, Hooman Allayee","doi":"10.1016/j.tem.2024.01.008","DOIUrl":null,"url":null,"abstract":"<p><span><span>Integrating molecular traits into genetic studies enhances our understanding of how </span>DNA variation influences complex clinical and physiological phenotypes. In a recent article, </span><span>Benson and colleagues</span><svg aria-label=\"Opens in new window\" focusable=\"false\" height=\"8px\" viewbox=\"0 0 8 8\" width=\"8px\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\"></path></svg><span> apply this systems genetics approach with proteomics<span> and metabolomics data in plasma from humans to identify and validate several previously unrecognized causal protein–metabolite associations.</span></span></p>","PeriodicalId":23301,"journal":{"name":"Trends in Endocrinology & Metabolism","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Endocrinology & Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.tem.2024.01.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Integrating molecular traits into genetic studies enhances our understanding of how DNA variation influences complex clinical and physiological phenotypes. In a recent article, Benson and colleagues apply this systems genetics approach with proteomics and metabolomics data in plasma from humans to identify and validate several previously unrecognized causal protein–metabolite associations.
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