精准医学时代的基因组学和多基因组学
Srinivasan Mani1, Seema R Lalani2, Mohan Pammi3
1Department of Pediatrics, University at Buffalo, Buffalo, NY, USA. smani3@buffalo.edu.
Pediatric research
|April 4, 2025
概括
精准医学使用基因组学和多基因组学数据来提供个性化的医疗保健. 由人工智能和生物信息学驱动的整合性多态经济学,能够积极预防疾病并获得更好的健康结果.
科学领域:
- 基因组医学是基因组医学.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 精准医学通过整合基因组,环境和生活方式数据,提供定制的医疗保健.
- 下一代测序和多组技术 (转录组学,蛋白质组学等) 增强对基因-饮食-生活方式相互作用的理解.
- 综合性多态学结合了各种"态学"数据,提供了关于健康和疾病的全面观点.
研究的目的:
- 审查基因组学第一,综合多组学方法的实用性和可行性.
- 介绍一个实用的模型,在儿科医疗保健和研究中采用多组学.
- 突出转向积极预防疾病和健康保护的转变.
主要方法:
- 审查目前基因组学,多组学,生物信息学,数据科学和人工智能的进展.
- 探索综合的多学科数据分析.
- 讨论基因组学第一战略和反向表型化.
主要成果:
- 生物信息学和人工智能的进步使综合性多态经济学成为理解复杂生物系统的可行性.
- 基因组学第一的方法,加上多层的基因组学,提供了个性化医疗保健的实用模型.
- 综合性多态学与单态学方法相比,提高了对人类健康和疾病的理解.
结论:
- 精准医学,特别是集成的多种经济学战略,代表了向主动健康的范式转变.
- 基因型第一方法或反向表型化可以通过识别新的基因型-表型关联来克服传统方法的局限性.
- 这种综合的多组学模型对推进儿科医疗保健和研究具有重大潜力.
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