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A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23

BACKGROUND: Bovine tuberculosis (bTB) infection in cattle is a significant economic concern in many countries, with annual costs to the UK and Irish governments of approximately €190 million and €63 million, respectively, for bTB control. The existence of host additive and non-additive genetic compo...

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Autores principales: Richardson, Ian W., Berry, Donagh P., Wiencko, Heather L., Higgins, Isabella M., More, Simon J., McClure, Jennifer, Lynn, David J., Bradley, Daniel G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784436/
https://www.ncbi.nlm.nih.gov/pubmed/26960806
http://dx.doi.org/10.1186/s12711-016-0197-x
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author Richardson, Ian W.
Berry, Donagh P.
Wiencko, Heather L.
Higgins, Isabella M.
More, Simon J.
McClure, Jennifer
Lynn, David J.
Bradley, Daniel G.
author_facet Richardson, Ian W.
Berry, Donagh P.
Wiencko, Heather L.
Higgins, Isabella M.
More, Simon J.
McClure, Jennifer
Lynn, David J.
Bradley, Daniel G.
author_sort Richardson, Ian W.
collection PubMed
description BACKGROUND: Bovine tuberculosis (bTB) infection in cattle is a significant economic concern in many countries, with annual costs to the UK and Irish governments of approximately €190 million and €63 million, respectively, for bTB control. The existence of host additive and non-additive genetic components to bTB susceptibility has been established. METHODS: Two approaches i.e. single-SNP (single nucleotide polymorphism) regression and a Bayesian method were applied to genome-wide association studies (GWAS) using high-density SNP genotypes (n = 597,144 SNPs) from 841 dairy artificial insemination (AI) sires. Deregressed estimated breeding values for bTB susceptibility were used as the quantitative dependent variable. Network analysis was performed using the quantitative trait loci (QTL) that were identified as significant in the single-SNP regression and Bayesian analyses separately. In addition, an identity-by-descent analysis was performed on a subset of the most prolific sires in the dataset that showed contrasting prevalences of bTB infection in daughters. RESULTS: A significant QTL region was identified on BTA23 (P value >1 × 10(−5), Bayes factor >10) across all analyses. Sires with the minor allele (minor allele frequency = 0.136) for this QTL on BTA23 had estimated breeding values that conferred a greater susceptibility to bTB infection than those that were homozygous for the major allele. Imputation of the regions that flank this QTL on BTA23 to full sequence indicated that the most significant associations were located within introns of the FKBP5 gene. CONCLUSIONS: A genomic region on BTA23 that is strongly associated with host susceptibility to bTB infection was identified. This region contained FKBP5, a gene involved in the TNFα/NFκ-B signalling pathway, which is a major biological pathway associated with immune response. Although there is no study that validates this region in the literature, our approach represents one of the most powerful studies for the analysis of bTB susceptibility to date. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-016-0197-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-47844362016-03-10 A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23 Richardson, Ian W. Berry, Donagh P. Wiencko, Heather L. Higgins, Isabella M. More, Simon J. McClure, Jennifer Lynn, David J. Bradley, Daniel G. Genet Sel Evol Research Article BACKGROUND: Bovine tuberculosis (bTB) infection in cattle is a significant economic concern in many countries, with annual costs to the UK and Irish governments of approximately €190 million and €63 million, respectively, for bTB control. The existence of host additive and non-additive genetic components to bTB susceptibility has been established. METHODS: Two approaches i.e. single-SNP (single nucleotide polymorphism) regression and a Bayesian method were applied to genome-wide association studies (GWAS) using high-density SNP genotypes (n = 597,144 SNPs) from 841 dairy artificial insemination (AI) sires. Deregressed estimated breeding values for bTB susceptibility were used as the quantitative dependent variable. Network analysis was performed using the quantitative trait loci (QTL) that were identified as significant in the single-SNP regression and Bayesian analyses separately. In addition, an identity-by-descent analysis was performed on a subset of the most prolific sires in the dataset that showed contrasting prevalences of bTB infection in daughters. RESULTS: A significant QTL region was identified on BTA23 (P value >1 × 10(−5), Bayes factor >10) across all analyses. Sires with the minor allele (minor allele frequency = 0.136) for this QTL on BTA23 had estimated breeding values that conferred a greater susceptibility to bTB infection than those that were homozygous for the major allele. Imputation of the regions that flank this QTL on BTA23 to full sequence indicated that the most significant associations were located within introns of the FKBP5 gene. CONCLUSIONS: A genomic region on BTA23 that is strongly associated with host susceptibility to bTB infection was identified. This region contained FKBP5, a gene involved in the TNFα/NFκ-B signalling pathway, which is a major biological pathway associated with immune response. Although there is no study that validates this region in the literature, our approach represents one of the most powerful studies for the analysis of bTB susceptibility to date. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-016-0197-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-09 /pmc/articles/PMC4784436/ /pubmed/26960806 http://dx.doi.org/10.1186/s12711-016-0197-x Text en © Richardson 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 Research Article
Richardson, Ian W.
Berry, Donagh P.
Wiencko, Heather L.
Higgins, Isabella M.
More, Simon J.
McClure, Jennifer
Lynn, David J.
Bradley, Daniel G.
A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23
title A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23
title_full A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23
title_fullStr A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23
title_full_unstemmed A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23
title_short A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23
title_sort genome-wide association study for genetic susceptibility to mycobacterium bovis infection in dairy cattle identifies a susceptibility qtl on chromosome 23
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784436/
https://www.ncbi.nlm.nih.gov/pubmed/26960806
http://dx.doi.org/10.1186/s12711-016-0197-x
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