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Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep
Copy number variation (CNV) is a major source of genomic structural variation. The aim of this study was to detect genomic CNV regions (CNVR) in Valle del Belice dairy sheep population and to identify those affecting milk production traits. The GO analysis identified possible candidate genes and pat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478285/ https://www.ncbi.nlm.nih.gov/pubmed/31013280 http://dx.doi.org/10.1371/journal.pone.0215204 |
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author | Di Gerlando, Rosalia Sutera, Anna Maria Mastrangelo, Salvatore Tolone, Marco Portolano, Baldassare Sottile, Gianluca Bagnato, Alessandro Strillacci, Maria Giuseppina Sardina, Maria Teresa |
author_facet | Di Gerlando, Rosalia Sutera, Anna Maria Mastrangelo, Salvatore Tolone, Marco Portolano, Baldassare Sottile, Gianluca Bagnato, Alessandro Strillacci, Maria Giuseppina Sardina, Maria Teresa |
author_sort | Di Gerlando, Rosalia |
collection | PubMed |
description | Copy number variation (CNV) is a major source of genomic structural variation. The aim of this study was to detect genomic CNV regions (CNVR) in Valle del Belice dairy sheep population and to identify those affecting milk production traits. The GO analysis identified possible candidate genes and pathways related to the selected traits. We identified CNVs in 416 individuals genotyped using the Illumina OvineSNP50 BeadChip array. The CNV association using a correlation-trend test model was examined with the Golden Helix SVS 8.7.0 tool. Significant CNVs were detected when their adjusted p-value was <0.01 after false discovery rate (FDR) correction. We identified 7,208 CNVs, which gave 365 CNVRs after aggregating overlapping CNVs. Thirty-one CNVRs were significantly associated with one or more traits included in the analysis. All CNVRs, except those on OAR19, overlapped with quantitative trait loci (QTL), even if they were not directly related to the traits of interest. A total of 222 genes were annotated within the significantly associated CNVRs, most of which played important roles in biological processes related to milk production and health-related traits. Identification of the genes in the CNVRs associated with the studied traits will provide the basis for further investigation of their role in the metabolic pathways related to milk production and health traits. |
format | Online Article Text |
id | pubmed-6478285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64782852019-05-07 Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep Di Gerlando, Rosalia Sutera, Anna Maria Mastrangelo, Salvatore Tolone, Marco Portolano, Baldassare Sottile, Gianluca Bagnato, Alessandro Strillacci, Maria Giuseppina Sardina, Maria Teresa PLoS One Research Article Copy number variation (CNV) is a major source of genomic structural variation. The aim of this study was to detect genomic CNV regions (CNVR) in Valle del Belice dairy sheep population and to identify those affecting milk production traits. The GO analysis identified possible candidate genes and pathways related to the selected traits. We identified CNVs in 416 individuals genotyped using the Illumina OvineSNP50 BeadChip array. The CNV association using a correlation-trend test model was examined with the Golden Helix SVS 8.7.0 tool. Significant CNVs were detected when their adjusted p-value was <0.01 after false discovery rate (FDR) correction. We identified 7,208 CNVs, which gave 365 CNVRs after aggregating overlapping CNVs. Thirty-one CNVRs were significantly associated with one or more traits included in the analysis. All CNVRs, except those on OAR19, overlapped with quantitative trait loci (QTL), even if they were not directly related to the traits of interest. A total of 222 genes were annotated within the significantly associated CNVRs, most of which played important roles in biological processes related to milk production and health-related traits. Identification of the genes in the CNVRs associated with the studied traits will provide the basis for further investigation of their role in the metabolic pathways related to milk production and health traits. Public Library of Science 2019-04-23 /pmc/articles/PMC6478285/ /pubmed/31013280 http://dx.doi.org/10.1371/journal.pone.0215204 Text en © 2019 Di Gerlando et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited. |
spellingShingle | Research Article Di Gerlando, Rosalia Sutera, Anna Maria Mastrangelo, Salvatore Tolone, Marco Portolano, Baldassare Sottile, Gianluca Bagnato, Alessandro Strillacci, Maria Giuseppina Sardina, Maria Teresa Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep |
title | Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep |
title_full | Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep |
title_fullStr | Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep |
title_full_unstemmed | Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep |
title_short | Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep |
title_sort | genome-wide association study between cnvs and milk production traits in valle del belice sheep |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478285/ https://www.ncbi.nlm.nih.gov/pubmed/31013280 http://dx.doi.org/10.1371/journal.pone.0215204 |
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