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Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs

Resequencing a number of individuals of various breeds as reference population and imputing the whole-genome sequences of individuals that were genotyped with medium-density chips to perform an association study is a very efficient strategy. Previously, we performed a genome-wide association study (...

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Autores principales: Yan, Guorong, Qiao, Ruimin, Zhang, Feng, Xin, Wenshui, Xiao, Shijun, Huang, Tao, Zhang, Zhiyan, Huang, Lusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429657/
https://www.ncbi.nlm.nih.gov/pubmed/28377593
http://dx.doi.org/10.1038/s41598-017-00729-0
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author Yan, Guorong
Qiao, Ruimin
Zhang, Feng
Xin, Wenshui
Xiao, Shijun
Huang, Tao
Zhang, Zhiyan
Huang, Lusheng
author_facet Yan, Guorong
Qiao, Ruimin
Zhang, Feng
Xin, Wenshui
Xiao, Shijun
Huang, Tao
Zhang, Zhiyan
Huang, Lusheng
author_sort Yan, Guorong
collection PubMed
description Resequencing a number of individuals of various breeds as reference population and imputing the whole-genome sequences of individuals that were genotyped with medium-density chips to perform an association study is a very efficient strategy. Previously, we performed a genome-wide association study (GWAS) of lumbar number using 60K SNPs from the porcine Illumina chips in 418 Sutai pigs and did not detect any significant signals. Therefore, we imputed the whole-genome sequences of 418 Sutai individuals from 403 deeply resequenced reference individuals and performed association tests. We identified a quantitative trait locus (QTL) for lumbar number in SSC1 with a P value of 9.01E-18 that was close to the potential causative gene of NR6A1. The result of conditioning on the top SNP association test indicated that only one QTL was responsible for this trait in SSC1. The linkage disequilibrium (LD) drop test result for the condition of the reported potential causative mutation (c.575T > C missense mutation of NR6A1) indicated that this mutation was probably not the underlying mutation that affected lumbar number in our study. As the first trial of imputed whole-genome sequence GWAS in swine, this approach can be also powerful to investigate complex traits in pig like in human and cattle.
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spelling pubmed-54296572017-05-15 Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs Yan, Guorong Qiao, Ruimin Zhang, Feng Xin, Wenshui Xiao, Shijun Huang, Tao Zhang, Zhiyan Huang, Lusheng Sci Rep Article Resequencing a number of individuals of various breeds as reference population and imputing the whole-genome sequences of individuals that were genotyped with medium-density chips to perform an association study is a very efficient strategy. Previously, we performed a genome-wide association study (GWAS) of lumbar number using 60K SNPs from the porcine Illumina chips in 418 Sutai pigs and did not detect any significant signals. Therefore, we imputed the whole-genome sequences of 418 Sutai individuals from 403 deeply resequenced reference individuals and performed association tests. We identified a quantitative trait locus (QTL) for lumbar number in SSC1 with a P value of 9.01E-18 that was close to the potential causative gene of NR6A1. The result of conditioning on the top SNP association test indicated that only one QTL was responsible for this trait in SSC1. The linkage disequilibrium (LD) drop test result for the condition of the reported potential causative mutation (c.575T > C missense mutation of NR6A1) indicated that this mutation was probably not the underlying mutation that affected lumbar number in our study. As the first trial of imputed whole-genome sequence GWAS in swine, this approach can be also powerful to investigate complex traits in pig like in human and cattle. Nature Publishing Group UK 2017-04-04 /pmc/articles/PMC5429657/ /pubmed/28377593 http://dx.doi.org/10.1038/s41598-017-00729-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yan, Guorong
Qiao, Ruimin
Zhang, Feng
Xin, Wenshui
Xiao, Shijun
Huang, Tao
Zhang, Zhiyan
Huang, Lusheng
Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs
title Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs
title_full Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs
title_fullStr Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs
title_full_unstemmed Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs
title_short Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs
title_sort imputation-based whole-genome sequence association study rediscovered the missing qtl for lumbar number in sutai pigs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429657/
https://www.ncbi.nlm.nih.gov/pubmed/28377593
http://dx.doi.org/10.1038/s41598-017-00729-0
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