Journal
NATURE GENETICS
Volume 51, Issue 1, Pages 88-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41588-018-0294-6
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Funding
- US National Institutes of Health from the National Human Genome Research Institute [R01HG006693, R01HG009141]
- National Institute of General Medical Sciences [R01GM124355]
- National Cancer Institute [U24CA209999]
- K99 award from the National Human Genome Research Institute [K99HG009532]
- NATIONAL CANCER INSTITUTE [U24CA209999] Funding Source: NIH RePORTER
- NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG006693, K99HG009532, R01HG009141, R00HG009532] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM124355, R01GM121459] Funding Source: NIH RePORTER
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Deep catalogs of genetic variation from thousands of humans enable the detection of intraspecies constraint by identifying coding regions with a scarcity of variation. While existing techniques summarize constraint for entire genes, single gene-wide metrics conceal regional constraint variability within each gene. Therefore, we have created a detailed map of constrained coding regions (CCRs) by leveraging variation observed among 123,136 humans from the Genome Aggregation Database. The most constrained CCRs are enriched for pathogenic variants in ClinVar and mutations underlying developmental disorders. CCRs highlight protein domain families under high constraint and suggest unannotated or incomplete protein domains. The highest-percentile CCRs complement existing variant prioritization methods when evaluating de novo mutations in studies of autosomal dominant disease. Finally, we identify highly constrained CCRs within genes lacking known disease associations. This observation suggests that CCRs may identify regions under strong purifying selection that, when mutated, cause severe developmental phenotypes or embryonic lethality.
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