{"title":"Multiorgan biological age shows that no organ system is an island","authors":"","doi":"10.1038/s43587-024-00690-4","DOIUrl":null,"url":null,"abstract":"In our study, we linked machine-learning-derived biological age gaps (BAGs) to common genetic variants in nine human organ systems, which revealed how these BAGs are causally associated with organ health and chronic diseases such as Alzheimer’s disease and diabetes. The findings provide insights into therapeutic and lifestyle interventions that might enhance organ health.","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":"4 9","pages":"1182-1183"},"PeriodicalIF":17.0000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature aging","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43587-024-00690-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In our study, we linked machine-learning-derived biological age gaps (BAGs) to common genetic variants in nine human organ systems, which revealed how these BAGs are causally associated with organ health and chronic diseases such as Alzheimer’s disease and diabetes. The findings provide insights into therapeutic and lifestyle interventions that might enhance organ health.