可转让性
特质
多基因风险评分
全基因组关联研究
生物
计算机科学
数据科学
遗传学
机器学习
单核苷酸多态性
基因
基因型
罗伊特
程序设计语言
作者
Linda Kachuri,Nilanjan Chatterjee,Jibril Hirbo,Daniel J. Schaid,Iman K. Martin,Iftikhar J. Kullo,Eimear E. Kenny,Bogdan Paşaniuc,Paul L. Auer,Matthew P. Conomos,David V. Conti,Yi Ding,Ying Wang,Haoyu Zhang,Yuji Zhang,John S. Witte,Tian Ge
标识
DOI:10.1038/s41576-023-00637-2
摘要
Polygenic risk scores (PRSs) summarize the genetic predisposition of a complex human trait or disease and may become a valuable tool for advancing precision medicine. However, PRSs that are developed in populations of predominantly European genetic ancestries can increase health disparities due to poor predictive performance in individuals of diverse and complex genetic ancestries. We describe genetic and modifiable risk factors that limit the transferability of PRSs across populations and review the strengths and weaknesses of existing PRS construction methods for diverse ancestries. Developing PRSs that benefit global populations in research and clinical settings provides an opportunity for innovation and is essential for health equity. This Review summarizes the genetic and non-genetic factors that impact the transferability of polygenic risk scores (PRSs) across populations, highlighting the technical challenges of existing PRS construction methods for diverse ancestries and the emerging resources for more widespread use of PRSs.
科研通智能强力驱动
Strongly Powered by AbleSci AI