The transition from genomics to phenomics in personalized population health

IF 39.1 1区生物学 Q1 GENETICS & HEREDITY

Nature Reviews Genetics Pub Date : 2023-12-13 DOI:10.1038/s41576-023-00674-x

James T. Yurkovich, Simon J. Evans, Noa Rappaport, Jeffrey L. Boore, Jennifer C. Lovejoy, Nathan D. Price, Leroy E. Hood

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引用次数: 0

Abstract

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.

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个性化人群健康从基因组学向表型组学过渡

现代保健面临若干严峻挑战，包括人口老龄化及其固有的慢性病负担、成本上升和质量指标不高。通过使用数据驱动的个性化方法来评估和优化每个人的健康轨迹，反映他们的基因、行为和环境，我们可以开始应对这些挑战。这项评估包括纵向现象组测量，如血液蛋白质组和代谢组，肠道微生物组组成和功能，以及通过可穿戴设备和问卷调查的生活方式和行为。在这里，我们回顾了正在进行的大规模基因组学和纵向表型组学的努力，以及它们为健康提供的强大见解。我们描述了我们对当前医疗保健从疾病导向转变为数据驱动，健康导向和个性化人口健康的愿景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Reviews Genetics 生物-遗传学

CiteScore

57.40

自引率

0.50%

发文量

113

审稿时长

6-12 weeks

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