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Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins
Reduced female fertility could cause considerable economic loss and has become a worldwide problem in the modern dairy industry. The objective of this study was to detect quantitative trait loci (QTL) for female fertility traits in Chinese and Nordic Holsteins using various strategies. First, single...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559619/ https://www.ncbi.nlm.nih.gov/pubmed/28814769 http://dx.doi.org/10.1038/s41598-017-09170-9 |
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author | Liu, Aoxing Wang, Yachun Sahana, Goutam Zhang, Qin Liu, Lin Lund, Mogens Sandø Su, Guosheng |
author_facet | Liu, Aoxing Wang, Yachun Sahana, Goutam Zhang, Qin Liu, Lin Lund, Mogens Sandø Su, Guosheng |
author_sort | Liu, Aoxing |
collection | PubMed |
description | Reduced female fertility could cause considerable economic loss and has become a worldwide problem in the modern dairy industry. The objective of this study was to detect quantitative trait loci (QTL) for female fertility traits in Chinese and Nordic Holsteins using various strategies. First, single-trait association analyses were performed for female fertility traits in Chinese and Nordic Holsteins. Second, the SNPs with P-value < 0.005 discovered in Chinese Holsteins were validated in Nordic Holsteins. Third, the summary statistics from single-trait association analyses were combined into meta-analyses to: (1) identify common QTL for multiple fertility traits within each Holstein population; (2) detect SNPs which were associated with a female fertility trait across two Holstein populations. A large numbers of QTL were discovered or confirmed for female fertility traits. The QTL segregating at 31.4~34.1 Mb on BTA13, 48.3~51.9 Mb on BTA23 and 34.0~37.6 Mb on BTA28 shared between Chinese and Nordic Holsteins were further ascertained using a validation approach and meta-analyses. Furthermore, multiple novel variants identified in Chinese Holsteins were validated with Nordic data as well as meta-analyses. The genes IL6R, SLC39A12, CACNB2, ZEB1, ZMIZ1 and FAM213A were concluded to be strong candidate genes for female fertility in Holsteins. |
format | Online Article Text |
id | pubmed-5559619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55596192017-08-18 Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins Liu, Aoxing Wang, Yachun Sahana, Goutam Zhang, Qin Liu, Lin Lund, Mogens Sandø Su, Guosheng Sci Rep Article Reduced female fertility could cause considerable economic loss and has become a worldwide problem in the modern dairy industry. The objective of this study was to detect quantitative trait loci (QTL) for female fertility traits in Chinese and Nordic Holsteins using various strategies. First, single-trait association analyses were performed for female fertility traits in Chinese and Nordic Holsteins. Second, the SNPs with P-value < 0.005 discovered in Chinese Holsteins were validated in Nordic Holsteins. Third, the summary statistics from single-trait association analyses were combined into meta-analyses to: (1) identify common QTL for multiple fertility traits within each Holstein population; (2) detect SNPs which were associated with a female fertility trait across two Holstein populations. A large numbers of QTL were discovered or confirmed for female fertility traits. The QTL segregating at 31.4~34.1 Mb on BTA13, 48.3~51.9 Mb on BTA23 and 34.0~37.6 Mb on BTA28 shared between Chinese and Nordic Holsteins were further ascertained using a validation approach and meta-analyses. Furthermore, multiple novel variants identified in Chinese Holsteins were validated with Nordic data as well as meta-analyses. The genes IL6R, SLC39A12, CACNB2, ZEB1, ZMIZ1 and FAM213A were concluded to be strong candidate genes for female fertility in Holsteins. Nature Publishing Group UK 2017-08-16 /pmc/articles/PMC5559619/ /pubmed/28814769 http://dx.doi.org/10.1038/s41598-017-09170-9 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 Liu, Aoxing Wang, Yachun Sahana, Goutam Zhang, Qin Liu, Lin Lund, Mogens Sandø Su, Guosheng Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins |
title | Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins |
title_full | Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins |
title_fullStr | Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins |
title_full_unstemmed | Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins |
title_short | Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins |
title_sort | genome-wide association studies for female fertility traits in chinese and nordic holsteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559619/ https://www.ncbi.nlm.nih.gov/pubmed/28814769 http://dx.doi.org/10.1038/s41598-017-09170-9 |
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