生物
遗传变异
基因组
灵长类动物
遗传学
人类基因组
等位基因
破译
人类遗传变异
遗传变异
计算生物学
个性化医疗
进化生物学
1000基因组计划
人类遗传学
精密医学
基因
基因型
单核苷酸多态性
神经科学
作者
Hong Gao,Tobias Hamp,Jeffrey M. Ede,Joshua G. Schraiber,Jeremy F. McRae,Moriel Singer‐Berk,Yanshen Yang,Anastasia S. D. Dietrich,Petko Fiziev,Lukas F. K. Kuderna,Laksshman Sundaram,Yibing Wu,Aashish N. Adhikari,Yair Field,Chen Chen,Serafim Batzoglou,François Aguet,Gabrielle Lemire,Rebecca Reimers,Daniel J. Balick
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2023-06-01
卷期号:380 (6648)
被引量:98
标识
DOI:10.1126/science.abn8197
摘要
Personalized genome sequencing has revealed millions of genetic differences between individuals, but our understanding of their clinical relevance remains largely incomplete. To systematically decipher the effects of human genetic variants, we obtained whole-genome sequencing data for 809 individuals from 233 primate species and identified 4.3 million common protein-altering variants with orthologs in humans. We show that these variants can be inferred to have nondeleterious effects in humans based on their presence at high allele frequencies in other primate populations. We use this resource to classify 6% of all possible human protein-altering variants as likely benign and impute the pathogenicity of the remaining 94% of variants with deep learning, achieving state-of-the-art accuracy for diagnosing pathogenic variants in patients with genetic diseases.
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