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Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs
Birth weight of pigs is an important economic factor in the livestock industry. The identification of the genes and variants that underlie birth weight is of great importance. In this study, we integrated two genotyping methods, single nucleotide polymorphism (SNP) chip analysis and restriction site...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118202/ https://www.ncbi.nlm.nih.gov/pubmed/32292414 http://dx.doi.org/10.3389/fgene.2020.00183 |
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author | Li, Yong Li, Bin Yang, Manman Han, Hu Chen, Tao Wei, Qiang Miao, Zepu Yin, Lilin Wang, Ran Shen, Junran Li, Xinyun Xu, Xuewen Fang, Ming Zhao, Shuhong |
author_facet | Li, Yong Li, Bin Yang, Manman Han, Hu Chen, Tao Wei, Qiang Miao, Zepu Yin, Lilin Wang, Ran Shen, Junran Li, Xinyun Xu, Xuewen Fang, Ming Zhao, Shuhong |
author_sort | Li, Yong |
collection | PubMed |
description | Birth weight of pigs is an important economic factor in the livestock industry. The identification of the genes and variants that underlie birth weight is of great importance. In this study, we integrated two genotyping methods, single nucleotide polymorphism (SNP) chip analysis and restriction site associated DNA sequencing (RAD-seq) to genotype genome-wide SNPs. In total, 45,175 and 139,634 SNPs were detected with the SNP chip and RAD-seq, respectively. The genome-wide association study (GWAS) of the combined SNP panels identified two significant loci located at chr1: 97,745,041 and chr4: 112,031,589, that explained 6.36% and 4.25% of the phenotypic variance respectively. To reduce interval containing causal variants, we imputed sequence-level SNPs in the GWAS identified regions and fine-mapped the causative variants into two narrower genomic intervals: a ∼100 kb interval containing 71 SNPs and a broader ∼870 kb interval with 432 SNPs. This fine-mapping highlighted four promising candidate genes, SKOR2, SMAD2, VAV3, and NTNG1. Additionally, the functional genes, SLC25A24, PRMT6 and STXBP3, are also located near the fine-mapping region. These results suggest that these candidate genes may have contribute substantially to the birth weight of pigs. |
format | Online Article Text |
id | pubmed-7118202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71182022020-04-14 Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs Li, Yong Li, Bin Yang, Manman Han, Hu Chen, Tao Wei, Qiang Miao, Zepu Yin, Lilin Wang, Ran Shen, Junran Li, Xinyun Xu, Xuewen Fang, Ming Zhao, Shuhong Front Genet Genetics Birth weight of pigs is an important economic factor in the livestock industry. The identification of the genes and variants that underlie birth weight is of great importance. In this study, we integrated two genotyping methods, single nucleotide polymorphism (SNP) chip analysis and restriction site associated DNA sequencing (RAD-seq) to genotype genome-wide SNPs. In total, 45,175 and 139,634 SNPs were detected with the SNP chip and RAD-seq, respectively. The genome-wide association study (GWAS) of the combined SNP panels identified two significant loci located at chr1: 97,745,041 and chr4: 112,031,589, that explained 6.36% and 4.25% of the phenotypic variance respectively. To reduce interval containing causal variants, we imputed sequence-level SNPs in the GWAS identified regions and fine-mapped the causative variants into two narrower genomic intervals: a ∼100 kb interval containing 71 SNPs and a broader ∼870 kb interval with 432 SNPs. This fine-mapping highlighted four promising candidate genes, SKOR2, SMAD2, VAV3, and NTNG1. Additionally, the functional genes, SLC25A24, PRMT6 and STXBP3, are also located near the fine-mapping region. These results suggest that these candidate genes may have contribute substantially to the birth weight of pigs. Frontiers Media S.A. 2020-03-27 /pmc/articles/PMC7118202/ /pubmed/32292414 http://dx.doi.org/10.3389/fgene.2020.00183 Text en Copyright © 2020 Li, Li, Yang, Han, Chen, Wei, Miao, Yin, Wang, Shen, Li, Xu, Fang and Zhao. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Li, Yong Li, Bin Yang, Manman Han, Hu Chen, Tao Wei, Qiang Miao, Zepu Yin, Lilin Wang, Ran Shen, Junran Li, Xinyun Xu, Xuewen Fang, Ming Zhao, Shuhong Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs |
title | Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs |
title_full | Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs |
title_fullStr | Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs |
title_full_unstemmed | Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs |
title_short | Genome-Wide Association Study and Fine Mapping Reveals Candidate Genes for Birth Weight of Yorkshire and Landrace Pigs |
title_sort | genome-wide association study and fine mapping reveals candidate genes for birth weight of yorkshire and landrace pigs |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118202/ https://www.ncbi.nlm.nih.gov/pubmed/32292414 http://dx.doi.org/10.3389/fgene.2020.00183 |
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