Identification of cis-suppression of human disease mutations by comparative genomics.

Journal Article

Patterns of amino acid conservation have served as a tool for understanding protein evolution. The same principles have also found broad application in human genomics, driven by the need to interpret the pathogenic potential of variants in patients. Here we performed a systematic comparative genomics analysis of human disease-causing missense variants. We found that an appreciable fraction of disease-causing alleles are fixed in the genomes of other species, suggesting a role for genomic context. We developed a model of genetic interactions that predicts most of these to be simple pairwise compensations. Functional testing of this model on two known human disease genes revealed discrete cis amino acid residues that, although benign on their own, could rescue the human mutations in vivo. This approach was also applied to ab initio gene discovery to support the identification of a de novo disease driver in BTG2 that is subject to protective cis-modification in more than 50 species. Finally, on the basis of our data and models, we developed a computational tool to predict candidate residues subject to compensation. Taken together, our data highlight the importance of cis-genomic context as a contributor to protein evolution; they provide an insight into the complexity of allele effect on phenotype; and they are likely to assist methods for predicting allele pathogenicity.

Full Text

Duke Authors

Cited Authors

  • Jordan, DM; Frangakis, SG; Golzio, C; Cassa, CA; Kurtzberg, J; Task Force for Neonatal Genomics, ; Davis, EE; Sunyaev, SR; Katsanis, N

Published Date

  • August 2015

Published In

Volume / Issue

  • 524 / 7564

Start / End Page

  • 225 - 229

PubMed ID

  • 26123021

Electronic International Standard Serial Number (EISSN)

  • 1476-4687

International Standard Serial Number (ISSN)

  • 0028-0836

Digital Object Identifier (DOI)

  • 10.1038/nature14497

Language

  • eng