Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA.
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Boston, MA, 02142, USA.
Science. 2023 Jun 2;380(6648):eabn8153. doi: 10.1126/science.abn8197.
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.
个性化基因组测序揭示了个体之间数百万个遗传差异,但我们对其临床相关性的理解仍在很大程度上尚未完成。为了系统地破译人类遗传变异的影响,我们从 233 个灵长类物种中获得了 809 个人的全基因组测序数据,并鉴定出了 430 万个与人类同源的常见蛋白改变变体。我们表明,这些变体可以根据它们在其他灵长类动物种群中的高等位基因频率存在而推断出对人类没有有害影响。我们利用这一资源,将所有可能的人类蛋白改变变体中的 6%归类为可能良性,并使用深度学习推断其余 94%变体的致病性,在诊断遗传疾病患者的致病性变体方面达到了最先进的准确性。