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Ancestry adjustment improves genome-wide estimates of regional intolerance.
Hayeck, Tristan J; Stong, Nicholas; Baugh, Evan; Dhindsa, Ryan; Turner, Tychele N; Malakar, Ayan; Mosbruger, Timothy L; Shaw, Grace Tzun-Wen; Duan, Yuncheng; Ionita-Laza, Iuliana; Goldstein, David; Allen, Andrew S.
Afiliación
  • Hayeck TJ; Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
  • Stong N; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Baugh E; Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA.
  • Dhindsa R; Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA.
  • Turner TN; Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA.
  • Malakar A; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63110, USA.
  • Mosbruger TL; Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA.
  • Shaw GT; Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
  • Duan Y; Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
  • Ionita-Laza I; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA.
  • Goldstein D; Department of Biostatistics Columbia University, New York, NY 10032, USA.
  • Allen AS; Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA.
Genetics ; 221(2)2022 05 31.
Article en En | MEDLINE | ID: mdl-35385101
Genomic regions subject to purifying selection are more likely to carry disease-causing mutations than regions not under selection. Cross species conservation is often used to identify such regions but with limited resolution to detect selection on short evolutionary timescales such as that occurring in only one species. In contrast, genetic intolerance looks for depletion of variation relative to expectation within a species, allowing species-specific features to be identified. When estimating the intolerance of noncoding sequence, methods strongly leverage variant frequency distributions. As the expected distributions depend on ancestry, if not properly controlled for, ancestral population source may obfuscate signals of selection. We demonstrate that properly incorporating ancestry in intolerance estimation greatly improved variant classification. We provide a genome-wide intolerance map that is conditional on ancestry and likely to be particularly valuable for variant prioritization.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Genómica Límite: Humans Idioma: En Revista: Genetics Año: 2022 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 / Genómica Límite: Humans Idioma: En Revista: Genetics Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos