癌症研究中的孟德尔随机化:机遇和挑战
Mengyao Tang1, Lanlan Chen2,3
1Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St., New York, NY, 10032, USA.
Infectious agents and cancer
|June 15, 2025
概括
门德尔随机化 (MR) 使用遗传数据来探索癌症研究中的因果关系. 本综述探讨了先进的方法和持续的挑战,以确保在这个不断增长的领域取得可靠的发现.
科学领域:
- 流行病学 流行病学
- 遗传学 遗传学 是一个
- 生物统计学 生物统计学
背景情况:
- 门德尔随机化 (MR) 是在癌症研究中推断因果关系的强大工具,利用遗传变异作为工具变量.
- 全基因组关联研究 (GWAS) 和生物库数据的扩大,特别是在中国,加速了MR的采用,需要关注方法论的严谨性.
- 在MR的进步,包括多变量MR和与omics和AI的集成,增强因果推断和生物学解释.
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