{"title":"遗传学揭示蛋白质与代谢物的关系","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":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\":\"4 1\",\"pages\":\"\"},\"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}","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
摘要
将分子性状整合到遗传学研究中，可以加深我们对 DNA 变异如何影响复杂的临床和生理表型的理解。在最近的一篇文章中，Benson 及其同事将这种系统遗传学方法与人类血浆中的蛋白质组学和代谢组学数据相结合，确定并验证了几种以前未曾认识到的因果蛋白质代谢物关联。
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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