The landscape of tolerated genetic variation in humans and primates

Hong Gao, Tobias Hamp, Jeffrey Ede, Joshua G. Schraiber, Jeremy McRae, Moriel Singer-Berk, Yanshen Yang, Anastasia Susanna Dagmar Dietrich, Petko Fiziev, Lukas F.K. Kuderna, Laksshman Sundaram, Yibing Wu, Aashish N. Adhikari, Yair Field, Serafim Batzoglou, Francois Aguet, Gabrielle Lemire, Rebecca Reimers, Daniel Balick, Mareike JaniakMartin Kuhlwilm, Joseph Orkin, Shivakumara Manu, Alejandro Valenzuela, Juraj Bergman, Marjolaine Rousselle, FE Silva, Lidia Agueda Calpena, Julie Blanc, Marta Gut, Dorien de Vries, Ian Goodhead, Ronald Harris, Muthuswamy Raveendran, Axel Jensen, Idrissa Chuma, Julie Horvath, Christina Hvilsom, David Juan, Peter Frandsen, Fabiano R. de Melo, Fabrício Bertuol, Hazel Byrne, Iracilda Sampaio, Izeni Pires Farias, João Valsecchi, Mariluce Messias, Maria Nazareth Ferreira da Silva, Mihir Trivedi, Rogerio Vieira Rossi

Publications: Contribution to journalArticlePeer Reviewed

Abstract

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.
Original languageEnglish
Article numbereabn8197
JournalScience
Volume380
Issue number6648
DOIs
Publication statusPublished - 2 Jun 2023

Austrian Fields of Science 2012

  • 106014 Genomics

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