Evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping

Abstract We performed a whole-genome scan of genetic variants in splicing regulatory elements (SREs) and evaluated the extent to which natural selection has shaped extant patterns of variation in SREs. We investigated the degree of differentiation of single nucleotide polymorphisms (SNPs) in SREs am...

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Autores principales: Eric R. Gamazon, Anuar Konkashbaev, Eske M. Derks, Nancy J. Cox, Younghee Lee
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/12fc5fba7bf3435dbf229f585abdd9e0
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spelling oai:doaj.org-article:12fc5fba7bf3435dbf229f585abdd9e02021-12-02T12:32:26ZEvidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping10.1038/s41598-017-05744-92045-2322https://doaj.org/article/12fc5fba7bf3435dbf229f585abdd9e02017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05744-9https://doaj.org/toc/2045-2322Abstract We performed a whole-genome scan of genetic variants in splicing regulatory elements (SREs) and evaluated the extent to which natural selection has shaped extant patterns of variation in SREs. We investigated the degree of differentiation of single nucleotide polymorphisms (SNPs) in SREs among human populations and applied long-range haplotype- and multilocus allelic differentiation-based methods to detect selection signatures. We describe an approach, sampling a large number of loci across the genome from functional classes and using the consensus from multiple tests, for identifying candidates for selection signals. SRE SNPs in various SNP functional classes show different patterns of population differentiation compared with their non-SRE counterparts. Intronic regions display a greater enrichment for extreme population differentiation among the potentially tissue-dependent transcript ratio quantitative trait loci (trQTLs) than SRE SNPs in general and includ outlier trQTLs for cross-population composite likelihood ratio, suggesting that incorporation of context annotation for regulatory variation may lead to improved detection of signature of selection on these loci. The proportion of extremely rare SNPs disrupting SREs is significantly higher in European than in African samples. The approach developed here will be broadly useful for studies of function and disease-associated variation in the human genome.Eric R. GamazonAnuar KonkashbaevEske M. DerksNancy J. CoxYounghee LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Eric R. Gamazon
Anuar Konkashbaev
Eske M. Derks
Nancy J. Cox
Younghee Lee
Evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping
description Abstract We performed a whole-genome scan of genetic variants in splicing regulatory elements (SREs) and evaluated the extent to which natural selection has shaped extant patterns of variation in SREs. We investigated the degree of differentiation of single nucleotide polymorphisms (SNPs) in SREs among human populations and applied long-range haplotype- and multilocus allelic differentiation-based methods to detect selection signatures. We describe an approach, sampling a large number of loci across the genome from functional classes and using the consensus from multiple tests, for identifying candidates for selection signals. SRE SNPs in various SNP functional classes show different patterns of population differentiation compared with their non-SRE counterparts. Intronic regions display a greater enrichment for extreme population differentiation among the potentially tissue-dependent transcript ratio quantitative trait loci (trQTLs) than SRE SNPs in general and includ outlier trQTLs for cross-population composite likelihood ratio, suggesting that incorporation of context annotation for regulatory variation may lead to improved detection of signature of selection on these loci. The proportion of extremely rare SNPs disrupting SREs is significantly higher in European than in African samples. The approach developed here will be broadly useful for studies of function and disease-associated variation in the human genome.
format article
author Eric R. Gamazon
Anuar Konkashbaev
Eske M. Derks
Nancy J. Cox
Younghee Lee
author_facet Eric R. Gamazon
Anuar Konkashbaev
Eske M. Derks
Nancy J. Cox
Younghee Lee
author_sort Eric R. Gamazon
title Evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping
title_short Evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping
title_full Evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping
title_fullStr Evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping
title_full_unstemmed Evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping
title_sort evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/12fc5fba7bf3435dbf229f585abdd9e0
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