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A map of constrained coding regions in the human genome.
Havrilla, James M; Pedersen, Brent S; Layer, Ryan M; Quinlan, Aaron R.
Afiliación
  • Havrilla JM; Department of Human Genetics, University of Utah, Salt Lake City, UT, USA.
  • Pedersen BS; USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA.
  • Layer RM; Department of Human Genetics, University of Utah, Salt Lake City, UT, USA.
  • Quinlan AR; USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA.
Nat Genet ; 51(1): 88-95, 2019 01.
Article en En | MEDLINE | ID: mdl-30531870
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Sistemas de Lectura Abierta Límite: Humans Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Sistemas de Lectura Abierta Límite: Humans Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos