Implementation and implications for polygenic risk scores in healthcare

被引:45
作者
Slunecka, John L. [1 ]
van der Zee, Matthijs D. [2 ]
Beck, Jeffrey J. [1 ]
Johnson, Brandon N. [1 ]
Finnicum, Casey T. [1 ]
Pool, Rene [2 ]
Hottenga, Jouke-Jan [2 ]
de Geus, Eco J. C. [2 ]
Ehli, Erik A. [1 ]
机构
[1] Avera McKennan & Univ Hlth Ctr, Avera Inst Human Genet, Sioux Falls, SD 57105 USA
[2] Vrije Univ Amsterdam, Dept Biol Psychol, Netherlands Twin Register, Amsterdam, Netherlands
关键词
Polygenic risk score; PRS; Clinical genetics; Genetic risk; Risk stratification; Public health; GENOME-WIDE ASSOCIATION; GENETIC RISK; FAMILY-HISTORY; CARDIOVASCULAR-DISEASE; TASK-FORCE; CANCER; ACCURACY; POPULATION; PREVENTION; DEPRESSION;
D O I
10.1186/s40246-021-00339-y
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Increasing amounts of genetic data have led to the development of polygenic risk scores (PRSs) for a variety of diseases. These scores, built from the summary statistics of genome-wide association studies (GWASs), are able to stratify individuals based on their genetic risk of developing various common diseases and could potentially be used to optimize the use of screening and preventative treatments and improve personalized care for patients. Many challenges are yet to be overcome, including PRS validation, healthcare professional and patient education, and healthcare systems integration. Ethical challenges are also present in how this information is used and the current lack of diverse populations with PRSs available. In this review, we discuss the topics above and cover the nature of PRSs, visualization schemes, and how PRSs can be improved. With these tools on the horizon for multiple diseases, scientists, clinicians, health systems, regulatory bodies, and the public should discuss the uses, benefits, and potential risks of PRSs.
引用
收藏
页数:18
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