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Genome-wide survey of allele-specific splicing in humans

BACKGROUND: Accurate mRNA splicing depends on multiple regulatory signals encoded in the transcribed RNA sequence. Many examples of mutations within human splice regulatory regions that alter splicing qualitatively or quantitatively have been reported and allelic differences in mRNA splicing are lik...

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Autores principales: Nembaware, Victoria, Lupindo, Bukiwe, Schouest, Katherine, Spillane, Charles, Scheffler, Konrad, Seoighe, Cathal
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2427040/
https://www.ncbi.nlm.nih.gov/pubmed/18518984
http://dx.doi.org/10.1186/1471-2164-9-265
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author Nembaware, Victoria
Lupindo, Bukiwe
Schouest, Katherine
Spillane, Charles
Scheffler, Konrad
Seoighe, Cathal
author_facet Nembaware, Victoria
Lupindo, Bukiwe
Schouest, Katherine
Spillane, Charles
Scheffler, Konrad
Seoighe, Cathal
author_sort Nembaware, Victoria
collection PubMed
description BACKGROUND: Accurate mRNA splicing depends on multiple regulatory signals encoded in the transcribed RNA sequence. Many examples of mutations within human splice regulatory regions that alter splicing qualitatively or quantitatively have been reported and allelic differences in mRNA splicing are likely to be a common and important source of phenotypic diversity at the molecular level, in addition to their contribution to genetic disease susceptibility. However, because the effect of a mutation on the efficiency of mRNA splicing is often difficult to predict, many mutations that cause disease through an effect on splicing are likely to remain undiscovered. RESULTS: We have combined a genome-wide scan for sequence polymorphisms likely to affect mRNA splicing with analysis of publicly available Expressed Sequence Tag (EST) and exon array data. The genome-wide scan uses published tools and identified 30,977 SNPs located within donor and acceptor splice sites, branch points and exonic splicing enhancer elements. For 1,185 candidate splicing polymorphisms the difference in splicing between alternative alleles was corroborated by publicly available exon array data from 166 lymphoblastoid cell lines. We developed a novel probabilistic method to infer allele-specific splicing from EST data. The method uses SNPs and alternative mRNA isoforms mapped to EST sequences and models both regulated alternative splicing as well as allele-specific splicing. We have also estimated heritability of splicing and report that a greater proportion of genes show evidence of splicing heritability than show heritability of overall gene expression level. Our results provide an extensive resource that can be used to assess the possible effect on splicing of human polymorphisms in putative splice-regulatory sites. CONCLUSION: We report a set of genes showing evidence of allele-specific splicing from an integrated analysis of genomic polymorphisms, EST data and exon array data, including several examples for which there is experimental evidence of polymorphisms affecting splicing in the literature. We also present a set of novel allele-specific splicing candidates and discuss the strengths and weaknesses of alternative technologies for inferring the effect of sequence variants on mRNA splicing.
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spelling pubmed-24270402008-06-13 Genome-wide survey of allele-specific splicing in humans Nembaware, Victoria Lupindo, Bukiwe Schouest, Katherine Spillane, Charles Scheffler, Konrad Seoighe, Cathal BMC Genomics Research Article BACKGROUND: Accurate mRNA splicing depends on multiple regulatory signals encoded in the transcribed RNA sequence. Many examples of mutations within human splice regulatory regions that alter splicing qualitatively or quantitatively have been reported and allelic differences in mRNA splicing are likely to be a common and important source of phenotypic diversity at the molecular level, in addition to their contribution to genetic disease susceptibility. However, because the effect of a mutation on the efficiency of mRNA splicing is often difficult to predict, many mutations that cause disease through an effect on splicing are likely to remain undiscovered. RESULTS: We have combined a genome-wide scan for sequence polymorphisms likely to affect mRNA splicing with analysis of publicly available Expressed Sequence Tag (EST) and exon array data. The genome-wide scan uses published tools and identified 30,977 SNPs located within donor and acceptor splice sites, branch points and exonic splicing enhancer elements. For 1,185 candidate splicing polymorphisms the difference in splicing between alternative alleles was corroborated by publicly available exon array data from 166 lymphoblastoid cell lines. We developed a novel probabilistic method to infer allele-specific splicing from EST data. The method uses SNPs and alternative mRNA isoforms mapped to EST sequences and models both regulated alternative splicing as well as allele-specific splicing. We have also estimated heritability of splicing and report that a greater proportion of genes show evidence of splicing heritability than show heritability of overall gene expression level. Our results provide an extensive resource that can be used to assess the possible effect on splicing of human polymorphisms in putative splice-regulatory sites. CONCLUSION: We report a set of genes showing evidence of allele-specific splicing from an integrated analysis of genomic polymorphisms, EST data and exon array data, including several examples for which there is experimental evidence of polymorphisms affecting splicing in the literature. We also present a set of novel allele-specific splicing candidates and discuss the strengths and weaknesses of alternative technologies for inferring the effect of sequence variants on mRNA splicing. BioMed Central 2008-06-02 /pmc/articles/PMC2427040/ /pubmed/18518984 http://dx.doi.org/10.1186/1471-2164-9-265 Text en Copyright © 2008 Nembaware et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nembaware, Victoria
Lupindo, Bukiwe
Schouest, Katherine
Spillane, Charles
Scheffler, Konrad
Seoighe, Cathal
Genome-wide survey of allele-specific splicing in humans
title Genome-wide survey of allele-specific splicing in humans
title_full Genome-wide survey of allele-specific splicing in humans
title_fullStr Genome-wide survey of allele-specific splicing in humans
title_full_unstemmed Genome-wide survey of allele-specific splicing in humans
title_short Genome-wide survey of allele-specific splicing in humans
title_sort genome-wide survey of allele-specific splicing in humans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2427040/
https://www.ncbi.nlm.nih.gov/pubmed/18518984
http://dx.doi.org/10.1186/1471-2164-9-265
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