1. Genetic diversity of 1,845 rhesus macaques improves genetic variation interpretation and identifies disease models
- Author
-
Wang, Jun, Wang, Meng, Moshiri, Ala, Harris, R Alan, Raveendran, Muthuswamy, Nguyen, Tracy, Kim, Soohyun, Young, Laura, Wang, Keqing, Wiseman, Roger, O’Connor, David H, Johnson, Zach, Martinez, Melween, Montague, Michael J, Sayers, Ken, Lyke, Martha, Vallender, Eric, Stout, Tim, Li, Yumei, Thomasy, Sara M, Rogers, Jeffrey, and Chen, Rui
- Subjects
Biological Sciences ,Bioinformatics and Computational Biology ,Genetics ,Human Genome ,Machine Learning and Artificial Intelligence ,Neurosciences ,Eye Disease and Disorders of Vision ,2.1 Biological and endogenous factors ,Aetiology ,Good Health and Well Being ,Animals ,Macaca mulatta ,Humans ,Optic Atrophy ,Autosomal Dominant ,Disease Models ,Animal ,Gene Frequency ,Genotype ,Phenotype ,Mutation ,Missense ,Polymorphism ,Single Nucleotide ,Genetic Variation ,Machine Learning - Abstract
Understanding and treating human diseases require valid animal models. Leveraging the genetic diversity in rhesus macaque populations across eight primate centers in the United States, we conduct targeted-sequencing on 1845 individuals for 374 genes linked to inherited human retinal and neurodevelopmental diseases. We identify over 47,000 single nucleotide variants, a substantial proportion of which are shared with human populations. By combining rhesus and human allele frequencies with established variant prediction methods, we develop a machine learning-based score that outperforms established methods in predicting missense variant pathogenicity. Remarkably, we find a marked number of loss-of-function variants and putative deleterious variants, which may lead to the development of rhesus disease models. Through phenotyping of macaques carrying a pathogenic OPA1:p.A8S variant, we identify a genetic model of autosomal dominant optic atrophy. Finally, we present a public website housing variant and genotype data from over two thousand rhesus macaques.
- Published
- 2024