The transition from genomics to phenomics in personalized population health

被引:7
|
作者
Yurkovich, James T. [1 ,2 ,3 ]
Evans, Simon J. [1 ,2 ]
Rappaport, Noa [2 ,4 ]
Boore, Jeffrey L. [1 ,2 ]
Lovejoy, Jennifer C. [1 ,2 ,4 ]
Price, Nathan D. [4 ,5 ,6 ,7 ]
Hood, Leroy E. [1 ,2 ,4 ,6 ,7 ,8 ]
机构
[1] Phenome Hlth, Seattle, WA 98109 USA
[2] Buck Inst Res Aging, Ctr Phen Hlth, Novato, CA 94945 USA
[3] Univ Texas Dallas, Dept Bioengn, Richardson, TX USA
[4] Inst Syst Biol, Seattle, WA 98109 USA
[5] Thorne HealthTech, New York, NY USA
[6] Univ Washington, Dept Bioengn, Seattle, WA 98195 USA
[7] Univ Washington, Paul G Allen Sch Comp Sci & Engn, Seattle, WA 98195 USA
[8] Univ Washington, Dept Immunol, Seattle, WA 98195 USA
关键词
PRECISION MEDICINE; CARDIOVASCULAR-DISEASE; WIDE ASSOCIATION; DNA METHYLATION; RISK SCORES; GENE; SEQUENCE; POLYMORPHISMS; METABOLOMICS; INDIVIDUALS;
D O I
10.1038/s41576-023-00674-x
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Modern health care faces several serious challenges, including an ageing population and its inherent burden of chronic diseases, rising costs and marginal quality metrics. By assessing and optimizing the health trajectory of each individual using a data-driven personalized approach that reflects their genetics, behaviour and environment, we can start to address these challenges. This assessment includes longitudinal phenome measures, such as the blood proteome and metabolome, gut microbiome composition and function, and lifestyle and behaviour through wearables and questionnaires. Here, we review ongoing large-scale genomics and longitudinal phenomics efforts and the powerful insights they provide into wellness. We describe our vision for the transformation of the current health care from disease-oriented to data-driven, wellness-oriented and personalized population health. This Perspective reviews large-scale genomics and longitudinal phenomics efforts and the insights they can provide into wellness. The authors describe their vision for the transformation of the current health care from disease-oriented to data-driven, wellness-oriented and personalized population health.
引用
收藏
页码:286 / 302
页数:17
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