Polygenic risk scores: a biased prediction?

被引：73

作者：

De La Vega, Francisco M. ^{[1
,2
]}

Bustamante, Carlos D. ^{[1
,3
,4
]}

机构：

[1] Stanford Univ, Dept Biomed Data Sci, Sch Med, Campus Dr, Stanford, CA 94305 USA

[2] Fabr Genom Inc, Telegraph Ave, Oakland, CA 94612 USA

[3] Stanford Univ, Dept Genet, Sch Med, Campus Dr, Stanford, CA 94305 USA

[4] Chan Zuckerberg Biohub, Illinois St, San Francisco, CA 94158 USA

来源：

GENOME MEDICINE | 2018年 / 10卷

关键词：

D O I：

10.1186/s13073-018-0610-x

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

A new study highlights the biases and inaccuracies of polygenic risk scores (PRS) when predicting disease risk in individuals from populations other than those used in their derivation. The design bias of workhorse tools used for research, particularly genotyping arrays, contributes to these distortions. To avoid further inequities in health outcomes, the inclusion of diverse populations in research, unbiased genotyping, and methods of bias reduction in PRS are critical.

引用

页数：3

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