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Title | Estimating the selective effects of heterozygous protein-truncating variants from human exome data. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Cassa, CA, Weghorn, D, Balick, DJ, Jordan, DM, Nusinow, D, Samocha, KE, O'Donnell-Luria, A, MacArthur, DG, Daly, MJ, Beier, DR, Sunyaev, SR |
Journal | Nat Genet |
Volume | 49 |
Issue | 5 |
Pagination | 806-810 |
Date Published | 2017 May |
ISSN | 1546-1718 |
Keywords | Algorithms, Animals, Bayes Theorem, Exome, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genotype, Heterozygote, Humans, Mice, Knockout, Models, Genetic, Mutation, Selection, Genetic, Sequence Analysis, DNA |
Abstract | The evolutionary cost of gene loss is a central question in genetics and has been investigated in model organisms and human cell lines. In humans, tolerance of the loss of one or both functional copies of a gene is related to the gene's causal role in disease. However, estimates of the selection and dominance coefficients in humans have been elusive. Here we analyze exome sequence data from 60,706 individuals to make genome-wide estimates of selection against heterozygous loss of gene function. Using this distribution of selection coefficients for heterozygous protein-truncating variants (PTVs), we provide corresponding Bayesian estimates for individual genes. We find that genes under the strongest selection are enriched in embryonic lethal mouse knockouts, Mendelian disease-associated genes, and regulators of transcription. Screening by essentiality, we find a large set of genes under strong selection that are likely to have crucial functions but have not yet been thoroughly characterized. |
DOI | 10.1038/ng.3831 |
Alternate Journal | Nat Genet |
PubMed ID | 28369035 |
PubMed Central ID | PMC5618255 |
Grant List | R01 GM078598 / GM / NIGMS NIH HHS / United States P30 DK043351 / DK / NIDDK NIH HHS / United States K99 HG007229 / HG / NHGRI NIH HHS / United States R00 HG007229 / HG / NHGRI NIH HHS / United States R01 MH101244 / MH / NIMH NIH HHS / United States U01 HG009088 / HG / NHGRI NIH HHS / United States R01 GM104371 / GM / NIGMS NIH HHS / United States |