Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.

There is broad agreement that genetic mutations occurring outside of the protein-coding regions play a key role in human disease. Despite this consensus, we are not yet capable of discerning which portions of non-coding sequence are important in the context of human disease. Here, we present Orion,...

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Main Authors: Ayal B Gussow, Brett R Copeland, Ryan S Dhindsa, Quanli Wang, Slavé Petrovski, William H Majoros, Andrew S Allen, David B Goldstein
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0181604
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spelling doaj-77957e0e6431494b96c88130183042b42021-03-04T11:27:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01128e018160410.1371/journal.pone.0181604Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.Ayal B GussowBrett R CopelandRyan S DhindsaQuanli WangSlavé PetrovskiWilliam H MajorosAndrew S AllenDavid B GoldsteinThere is broad agreement that genetic mutations occurring outside of the protein-coding regions play a key role in human disease. Despite this consensus, we are not yet capable of discerning which portions of non-coding sequence are important in the context of human disease. Here, we present Orion, an approach that detects regions of the non-coding genome that are depleted of variation, suggesting that the regions are intolerant of mutations and subject to purifying selection in the human lineage. We show that Orion is highly correlated with known intolerant regions as well as regions that harbor putatively pathogenic variation. This approach provides a mechanism to identify pathogenic variation in the human non-coding genome and will have immediate utility in the diagnostic interpretation of patient genomes and in large case control studies using whole-genome sequences.https://doi.org/10.1371/journal.pone.0181604
collection DOAJ
language English
format Article
sources DOAJ
author Ayal B Gussow
Brett R Copeland
Ryan S Dhindsa
Quanli Wang
Slavé Petrovski
William H Majoros
Andrew S Allen
David B Goldstein
spellingShingle Ayal B Gussow
Brett R Copeland
Ryan S Dhindsa
Quanli Wang
Slavé Petrovski
William H Majoros
Andrew S Allen
David B Goldstein
Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.
PLoS ONE
author_facet Ayal B Gussow
Brett R Copeland
Ryan S Dhindsa
Quanli Wang
Slavé Petrovski
William H Majoros
Andrew S Allen
David B Goldstein
author_sort Ayal B Gussow
title Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.
title_short Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.
title_full Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.
title_fullStr Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.
title_full_unstemmed Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics.
title_sort orion: detecting regions of the human non-coding genome that are intolerant to variation using population genetics.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description There is broad agreement that genetic mutations occurring outside of the protein-coding regions play a key role in human disease. Despite this consensus, we are not yet capable of discerning which portions of non-coding sequence are important in the context of human disease. Here, we present Orion, an approach that detects regions of the non-coding genome that are depleted of variation, suggesting that the regions are intolerant of mutations and subject to purifying selection in the human lineage. We show that Orion is highly correlated with known intolerant regions as well as regions that harbor putatively pathogenic variation. This approach provides a mechanism to identify pathogenic variation in the human non-coding genome and will have immediate utility in the diagnostic interpretation of patient genomes and in large case control studies using whole-genome sequences.
url https://doi.org/10.1371/journal.pone.0181604
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