从基因组学到现象学在个性化人口健康中的过渡
James T Yurkovich1,2,3, Simon J Evans1,2, Noa Rappaport2,4
1Phenome Health, Seattle, WA, USA.
Nature reviews. Genetics
|December 13, 2023
概括
使用基因组学和现象学的个性化健康方法可以解决老龄化人口中慢性疾病等挑战. 这种数据驱动的策略优化了个人的健康轨迹,以获得更好的健康结果.
科学领域:
- 基因组学和个性化医学
- 人口健康管理 人口健康管理
- 生物标志物发现发现
背景情况:
- 现代医疗保健正在与人口老龄化,慢性疾病,成本上升和质量问题作斗争.
- 目前以疾病为导向的模型不足以应对复杂的健康挑战.
- 需要积极主动和个性化的健康策略.
研究的目的:
- 审查大规模基因组学和纵向现象学方面的努力.
- 探索数据驱动的方法,以优化个人健康轨迹.
- 为个性化,以健康为导向的医疗保健系统提出愿景.
主要方法:
- 纵向的现象测量包括血液蛋白质和代谢.
- 肠道微生物组的组成和功能分析.
- 通过可穿戴设备和问卷收集生活方式和行为数据.
主要成果:
- 基因组学和现象学为个人健康提供了强大的洞察力.
- 数据驱动的评估可以揭示个性化的健康轨迹.
- 整合多样化的数据源可以增强对健康的理解.
结论:
- 转向数据驱动,个性化和以健康为导向的人口健康是必不可少的.
- 通过个性化方法优化健康轨迹可以减轻医疗保健挑战.
- 未来的医疗保健应该专注于主动健康和个人需求.
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