精准医学时代的基因与环境相互作用
Jingjing Li1, Xiao Li2, Sai Zhang2
1Stanford Center for Genomics and Personalized Medicine, Department of Genetics, Stanford University School of Medicine, Stanford CA, 94305, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford CA, 94305, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Cell
|March 23, 2019
概括
需要新的分析框架来了解疾病中的复杂基因环境相互作用. 这项研究提出了使用可穿戴技术数据进行个性化精准医疗的贝叶斯方法.
科学领域:
- 基因组学
- 计算生物学
- 生物医学工程
背景情况:
- 目前的疾病基因组分析模型往往无法捕捉复杂的基因环境相互作用.
- 了解这些相互作用对于推进精准医学至关重要.
- 新兴的可穿戴技术为量化生理和环境数据提供了新的途径.
研究的目的:
- 突出现有的疾病基因组分析模型的局限性.
- 提出基因与环境相互作用的创新分析框架.
- 通过整合数据实现个性化的精确健康和医学.
主要方法:
- 调查常用的疾病基因组分析模型的不足.
- 研究可穿戴技术以量化生理和环境因素.
- 开发一个贝叶斯框架来对个性化基因环境相互作用进行层次模型.
主要成果:
- 通常使用的模型不足以进行全面的疾病基因组分析.
- 可穿戴技术提供了对个体健康因素的深入和广泛量化.
- 一个新的贝叶斯框架可以对个性化的基因环境相互作用进行层次模型.
结论:
- 需要先进的分析框架来研究基因与环境的相互作用.
- 将可穿戴技术的数据整合到贝叶斯框架中,
- 拟议的框架通过考虑个体特定的相互作用来支持精确健康和医学的进步.
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