bioRxivGenomicsPreprint
The landscape of regional missense mutational intolerance quantified from 730,947 exomes
Lily WangiD, Katherine R. ChaoiD, Ruchit PanchaliD, Calwing LiaoiD, Haneen AbderrazzaqiD, Robert YeiD, Patrick SchultziD, John Compitello, Riley H. Grant, Jack A. KosmickiiD, Ben WeisburdiD, William PhuiD, Michael W. WilsoniD, Kristen M. LaricchiaiD, Julia K. GoodrichiD, Daniel J. GoldsteiniD, Jacqueline I. GoldsteiniD, Christopher Vittal, Timothy PoterbaiD, Samantha M. BaxteriD, Nicholas A. Watts, Matthew SolomonsoniD, Grace TiaoiD, Heidi L. RehmiD, Benjamin M. NealeiD, , Kaitlin E. SamochaiD
Abstract
Missense variants can have a range of functional impacts depending on factors such as the specific amino acid substitution and location within the gene. To interpret their deleteriousness, studies have sought to identify regions within genes that are specifically intolerant of missense variation. Here, we leverage the patterns of rare missense variation in 730,947 exome sequenced individuals in the Genome Aggregation Database (gnomAD v4.1.1) against a null mutational model to identify transcripts with regional differences in missense constraint. Missense-depleted regions are enriched for ClinVar pathogenic variants, de novo missense variants from individuals with neurodevelopmental disorders, and complex trait heritability. Following ClinGen calibration recommendations for the ACMG/AMP variant classification guidelines, we establish that variants within regions with <36% of their expected missense variation achieve moderate support for pathogenicity. We integrate this regional constraint measure into a missense deleteriousness metric (named MPC) that effectively stratifies rare and de novo missense variants in individuals with early-onset developmental conditions from controls. These results provide additional tools to aid in missense variant interpretation.
- organism: human
- assay: whole-exome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 13
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