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Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs
BACKGROUND: Since the pig is one of the most important livestock animals worldwide, mapping loci that are associated with economically important traits and/or traits that influence animal welfare is extremely relevant for efficient future pig breeding. Therefore, the purpose of this study was a geno...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210560/ https://www.ncbi.nlm.nih.gov/pubmed/25359100 http://dx.doi.org/10.1186/s12711-014-0068-2 |
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author | Rothammer, Sophie Kremer, Prisca V Bernau, Maren Fernandez-Figares, Ignacio Pfister-Schär, Jennifer Medugorac, Ivica Scholz, Armin M |
author_facet | Rothammer, Sophie Kremer, Prisca V Bernau, Maren Fernandez-Figares, Ignacio Pfister-Schär, Jennifer Medugorac, Ivica Scholz, Armin M |
author_sort | Rothammer, Sophie |
collection | PubMed |
description | BACKGROUND: Since the pig is one of the most important livestock animals worldwide, mapping loci that are associated with economically important traits and/or traits that influence animal welfare is extremely relevant for efficient future pig breeding. Therefore, the purpose of this study was a genome-wide mapping of quantitative trait loci (QTL) associated with nine body composition and bone mineral traits: absolute (Fat, Lean) and percentage (FatPC, LeanPC) fat and lean mass, live weight (Weight), soft tissue X-ray attenuation coefficient (R), absolute (BMC) and percentage (BMCPC) bone mineral content and bone mineral density (BMD). METHODS: Data on the nine traits investigated were obtained by Dual-energy X-ray absorptiometry for 551 pigs that were between 160 and 200 days old. In addition, all pigs were genotyped using Illumina’s PorcineSNP60 Genotyping BeadChip. Based on these data, a genome-wide combined linkage and linkage disequilibrium analysis was conducted. Thus, we used 44 611 sliding windows that each consisted of 20 adjacent single nucleotide polymorphisms (SNPs). For the middle of each sliding window a variance component analysis was carried out using ASReml. The underlying mixed linear model included random QTL and polygenic effects, with fixed effects of sex, housing, season and age. RESULTS: Using a Bonferroni-corrected genome-wide significance threshold of P < 0.001, significant peaks were identified for all traits except BMCPC. Overall, we identified 72 QTL on 16 chromosomes, of which 24 were significantly associated with one trait only and the remaining with more than one trait. For example, a QTL on chromosome 2 included the highest peak across the genome for four traits (Fat, FatPC, LeanPC and R). The nearby gene, ZNF608, is known to be associated with body mass index in humans and involved in starvation in Drosophila, which makes it an extremely good candidate gene for this QTL. CONCLUSIONS: Our QTL mapping approach identified 72 QTL, some of which confirmed results of previous studies in pigs. However, we also detected significant associations that have not been published before and were able to identify a number of new and promising candidate genes, such as ZNF608. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-014-0068-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4210560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42105602014-11-06 Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs Rothammer, Sophie Kremer, Prisca V Bernau, Maren Fernandez-Figares, Ignacio Pfister-Schär, Jennifer Medugorac, Ivica Scholz, Armin M Genet Sel Evol Research BACKGROUND: Since the pig is one of the most important livestock animals worldwide, mapping loci that are associated with economically important traits and/or traits that influence animal welfare is extremely relevant for efficient future pig breeding. Therefore, the purpose of this study was a genome-wide mapping of quantitative trait loci (QTL) associated with nine body composition and bone mineral traits: absolute (Fat, Lean) and percentage (FatPC, LeanPC) fat and lean mass, live weight (Weight), soft tissue X-ray attenuation coefficient (R), absolute (BMC) and percentage (BMCPC) bone mineral content and bone mineral density (BMD). METHODS: Data on the nine traits investigated were obtained by Dual-energy X-ray absorptiometry for 551 pigs that were between 160 and 200 days old. In addition, all pigs were genotyped using Illumina’s PorcineSNP60 Genotyping BeadChip. Based on these data, a genome-wide combined linkage and linkage disequilibrium analysis was conducted. Thus, we used 44 611 sliding windows that each consisted of 20 adjacent single nucleotide polymorphisms (SNPs). For the middle of each sliding window a variance component analysis was carried out using ASReml. The underlying mixed linear model included random QTL and polygenic effects, with fixed effects of sex, housing, season and age. RESULTS: Using a Bonferroni-corrected genome-wide significance threshold of P < 0.001, significant peaks were identified for all traits except BMCPC. Overall, we identified 72 QTL on 16 chromosomes, of which 24 were significantly associated with one trait only and the remaining with more than one trait. For example, a QTL on chromosome 2 included the highest peak across the genome for four traits (Fat, FatPC, LeanPC and R). The nearby gene, ZNF608, is known to be associated with body mass index in humans and involved in starvation in Drosophila, which makes it an extremely good candidate gene for this QTL. CONCLUSIONS: Our QTL mapping approach identified 72 QTL, some of which confirmed results of previous studies in pigs. However, we also detected significant associations that have not been published before and were able to identify a number of new and promising candidate genes, such as ZNF608. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-014-0068-2) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-28 /pmc/articles/PMC4210560/ /pubmed/25359100 http://dx.doi.org/10.1186/s12711-014-0068-2 Text en © Rothammer et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Rothammer, Sophie Kremer, Prisca V Bernau, Maren Fernandez-Figares, Ignacio Pfister-Schär, Jennifer Medugorac, Ivica Scholz, Armin M Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs |
title | Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs |
title_full | Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs |
title_fullStr | Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs |
title_full_unstemmed | Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs |
title_short | Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs |
title_sort | genome-wide qtl mapping of nine body composition and bone mineral density traits in pigs |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210560/ https://www.ncbi.nlm.nih.gov/pubmed/25359100 http://dx.doi.org/10.1186/s12711-014-0068-2 |
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