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Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues

BACKGROUND: Mammalian phenotypes are shaped by numerous genome variants, many of which may regulate gene transcription or RNA splicing. To identify variants with regulatory functions in cattle, an important economic and model species, we used sequence variants to map a type of expression quantitativ...

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Autores principales: Xiang, Ruidong, Hayes, Ben J., Vander Jagt, Christy J., MacLeod, Iona M., Khansefid, Majid, Bowman, Phil J., Yuan, Zehu, Prowse-Wilkins, Claire P., Reich, Coralie M., Mason, Brett A., Garner, Josie B., Marett, Leah C., Chen, Yizhou, Bolormaa, Sunduimijid, Daetwyler, Hans D., Chamberlain, Amanda J., Goddard, Michael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032541/
https://www.ncbi.nlm.nih.gov/pubmed/29973141
http://dx.doi.org/10.1186/s12864-018-4902-8
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author Xiang, Ruidong
Hayes, Ben J.
Vander Jagt, Christy J.
MacLeod, Iona M.
Khansefid, Majid
Bowman, Phil J.
Yuan, Zehu
Prowse-Wilkins, Claire P.
Reich, Coralie M.
Mason, Brett A.
Garner, Josie B.
Marett, Leah C.
Chen, Yizhou
Bolormaa, Sunduimijid
Daetwyler, Hans D.
Chamberlain, Amanda J.
Goddard, Michael E.
author_facet Xiang, Ruidong
Hayes, Ben J.
Vander Jagt, Christy J.
MacLeod, Iona M.
Khansefid, Majid
Bowman, Phil J.
Yuan, Zehu
Prowse-Wilkins, Claire P.
Reich, Coralie M.
Mason, Brett A.
Garner, Josie B.
Marett, Leah C.
Chen, Yizhou
Bolormaa, Sunduimijid
Daetwyler, Hans D.
Chamberlain, Amanda J.
Goddard, Michael E.
author_sort Xiang, Ruidong
collection PubMed
description BACKGROUND: Mammalian phenotypes are shaped by numerous genome variants, many of which may regulate gene transcription or RNA splicing. To identify variants with regulatory functions in cattle, an important economic and model species, we used sequence variants to map a type of expression quantitative trait loci (expression QTLs) that are associated with variations in the RNA splicing, i.e., sQTLs. To further the understanding of regulatory variants, sQTLs were compare with other two types of expression QTLs, 1) variants associated with variations in gene expression, i.e., geQTLs and 2) variants associated with variations in exon expression, i.e., eeQTLs, in different tissues. RESULTS: Using whole genome and RNA sequence data from four tissues of over 200 cattle, sQTLs identified using exon inclusion ratios were verified by matching their effects on adjacent intron excision ratios. sQTLs contained the highest percentage of variants that are within the intronic region of genes and contained the lowest percentage of variants that are within intergenic regions, compared to eeQTLs and geQTLs. Many geQTLs and sQTLs are also detected as eeQTLs. Many expression QTLs, including sQTLs, were significant in all four tissues and had a similar effect in each tissue. To verify such expression QTL sharing between tissues, variants surrounding (±1 Mb) the exon or gene were used to build local genomic relationship matrices (LGRM) and estimated genetic correlations between tissues. For many exons, the splicing and expression level was determined by the same cis additive genetic variance in different tissues. Thus, an effective but simple-to-implement meta-analysis combining information from three tissues is introduced to increase power to detect and validate sQTLs. sQTLs and eeQTLs together were more enriched for variants associated with cattle complex traits, compared to geQTLs. Several putative causal mutations were identified, including an sQTL at Chr6:87392580 within the 5th exon of kappa casein (CSN3) associated with milk production traits. CONCLUSIONS: Using novel analytical approaches, we report the first identification of numerous bovine sQTLs which are extensively shared between multiple tissue types. The significant overlaps between bovine sQTLs and complex traits QTL highlight the contribution of regulatory mutations to phenotypic variations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4902-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-60325412018-07-11 Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues Xiang, Ruidong Hayes, Ben J. Vander Jagt, Christy J. MacLeod, Iona M. Khansefid, Majid Bowman, Phil J. Yuan, Zehu Prowse-Wilkins, Claire P. Reich, Coralie M. Mason, Brett A. Garner, Josie B. Marett, Leah C. Chen, Yizhou Bolormaa, Sunduimijid Daetwyler, Hans D. Chamberlain, Amanda J. Goddard, Michael E. BMC Genomics Research Article BACKGROUND: Mammalian phenotypes are shaped by numerous genome variants, many of which may regulate gene transcription or RNA splicing. To identify variants with regulatory functions in cattle, an important economic and model species, we used sequence variants to map a type of expression quantitative trait loci (expression QTLs) that are associated with variations in the RNA splicing, i.e., sQTLs. To further the understanding of regulatory variants, sQTLs were compare with other two types of expression QTLs, 1) variants associated with variations in gene expression, i.e., geQTLs and 2) variants associated with variations in exon expression, i.e., eeQTLs, in different tissues. RESULTS: Using whole genome and RNA sequence data from four tissues of over 200 cattle, sQTLs identified using exon inclusion ratios were verified by matching their effects on adjacent intron excision ratios. sQTLs contained the highest percentage of variants that are within the intronic region of genes and contained the lowest percentage of variants that are within intergenic regions, compared to eeQTLs and geQTLs. Many geQTLs and sQTLs are also detected as eeQTLs. Many expression QTLs, including sQTLs, were significant in all four tissues and had a similar effect in each tissue. To verify such expression QTL sharing between tissues, variants surrounding (±1 Mb) the exon or gene were used to build local genomic relationship matrices (LGRM) and estimated genetic correlations between tissues. For many exons, the splicing and expression level was determined by the same cis additive genetic variance in different tissues. Thus, an effective but simple-to-implement meta-analysis combining information from three tissues is introduced to increase power to detect and validate sQTLs. sQTLs and eeQTLs together were more enriched for variants associated with cattle complex traits, compared to geQTLs. Several putative causal mutations were identified, including an sQTL at Chr6:87392580 within the 5th exon of kappa casein (CSN3) associated with milk production traits. CONCLUSIONS: Using novel analytical approaches, we report the first identification of numerous bovine sQTLs which are extensively shared between multiple tissue types. The significant overlaps between bovine sQTLs and complex traits QTL highlight the contribution of regulatory mutations to phenotypic variations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4902-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-04 /pmc/articles/PMC6032541/ /pubmed/29973141 http://dx.doi.org/10.1186/s12864-018-4902-8 Text en © The Author(s). 2018 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 Research Article
Xiang, Ruidong
Hayes, Ben J.
Vander Jagt, Christy J.
MacLeod, Iona M.
Khansefid, Majid
Bowman, Phil J.
Yuan, Zehu
Prowse-Wilkins, Claire P.
Reich, Coralie M.
Mason, Brett A.
Garner, Josie B.
Marett, Leah C.
Chen, Yizhou
Bolormaa, Sunduimijid
Daetwyler, Hans D.
Chamberlain, Amanda J.
Goddard, Michael E.
Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues
title Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues
title_full Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues
title_fullStr Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues
title_full_unstemmed Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues
title_short Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues
title_sort genome variants associated with rna splicing variations in bovine are extensively shared between tissues
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032541/
https://www.ncbi.nlm.nih.gov/pubmed/29973141
http://dx.doi.org/10.1186/s12864-018-4902-8
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