Cargando…

The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes

Ranking human genes based on their tolerance to functional genetic variation can greatly facilitate patient genome interpretation. It is well established, however, that different parts of proteins can have different functions, suggesting that it will ultimately be more informative to focus attention...

Descripción completa

Detalles Bibliográficos
Autores principales: Gussow, Ayal B., Petrovski, Slavé, Wang, Quanli, Allen, Andrew S., Goldstein, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717634/
https://www.ncbi.nlm.nih.gov/pubmed/26781712
http://dx.doi.org/10.1186/s13059-016-0869-4
_version_ 1782410688831946752
author Gussow, Ayal B.
Petrovski, Slavé
Wang, Quanli
Allen, Andrew S.
Goldstein, David B.
author_facet Gussow, Ayal B.
Petrovski, Slavé
Wang, Quanli
Allen, Andrew S.
Goldstein, David B.
author_sort Gussow, Ayal B.
collection PubMed
description Ranking human genes based on their tolerance to functional genetic variation can greatly facilitate patient genome interpretation. It is well established, however, that different parts of proteins can have different functions, suggesting that it will ultimately be more informative to focus attention on functionally distinct portions of genes. Here we evaluate the intolerance of genic sub-regions using two biological sub-region classifications. We show that the intolerance scores of these sub-regions significantly correlate with reported pathogenic mutations. This observation extends the utility of intolerance scores to indicating where pathogenic mutations are mostly likely to fall within genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0869-4) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4717634
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-47176342016-01-20 The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes Gussow, Ayal B. Petrovski, Slavé Wang, Quanli Allen, Andrew S. Goldstein, David B. Genome Biol Method Ranking human genes based on their tolerance to functional genetic variation can greatly facilitate patient genome interpretation. It is well established, however, that different parts of proteins can have different functions, suggesting that it will ultimately be more informative to focus attention on functionally distinct portions of genes. Here we evaluate the intolerance of genic sub-regions using two biological sub-region classifications. We show that the intolerance scores of these sub-regions significantly correlate with reported pathogenic mutations. This observation extends the utility of intolerance scores to indicating where pathogenic mutations are mostly likely to fall within genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0869-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-18 2016 /pmc/articles/PMC4717634/ /pubmed/26781712 http://dx.doi.org/10.1186/s13059-016-0869-4 Text en © Gussow et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Method
Gussow, Ayal B.
Petrovski, Slavé
Wang, Quanli
Allen, Andrew S.
Goldstein, David B.
The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes
title The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes
title_full The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes
title_fullStr The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes
title_full_unstemmed The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes
title_short The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes
title_sort intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717634/
https://www.ncbi.nlm.nih.gov/pubmed/26781712
http://dx.doi.org/10.1186/s13059-016-0869-4
work_keys_str_mv AT gussowayalb theintolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT petrovskislave theintolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT wangquanli theintolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT allenandrews theintolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT goldsteindavidb theintolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT gussowayalb intolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT petrovskislave intolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT wangquanli intolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT allenandrews intolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes
AT goldsteindavidb intolerancetofunctionalgeneticvariationofproteindomainspredictsthelocalizationofpathogenicmutationswithingenes