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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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 |
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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 |
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