医学
代谢组学
长寿
精密医学
生活方式医学
鉴定(生物学)
个性化医疗
生物信息学
老年学
家庭医学
病理
植物
生物
标识
DOI:10.1038/s41569-019-0310-2
摘要
Strategies to measure metabolomics data in large cohorts capture not only genetic information, but also lifestyle habits and clinical outcomes, which could contribute to the identification of genetic and lifestyle biomarkers. Such an approach might pave the way for the development of personalized lifestyle medicine. Metabolomics data can be used to identify biomarkers of all-cause mortality. In this Comment article, Despres suggests that these biomarkers can also predict risk of death associated with risk factors that can be reduced through changes in lifestyle habits.
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