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A domestic cat whole exome sequencing resource for trait discovery
Over 94 million domestic cats are susceptible to cancers and other common and rare diseases. Whole exome sequencing (WES) is a proven strategy to study these disease-causing variants. Presented is a 35.7 Mb exome capture design based on the annotated Felis_catus_9.0 genome assembly, covering 201,683...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009874/ https://www.ncbi.nlm.nih.gov/pubmed/33785770 http://dx.doi.org/10.1038/s41598-021-86200-7 |
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author | Rodney, Alana R. Buckley, Reuben M. Fulton, Robert S. Fronick, Catrina Richmond, Todd Helps, Christopher R. Pantke, Peter Trent, Dianne J. Vernau, Karen M. Munday, John S. Lewin, Andrew C. Middleton, Rondo Lyons, Leslie A. Warren, Wesley C. |
author_facet | Rodney, Alana R. Buckley, Reuben M. Fulton, Robert S. Fronick, Catrina Richmond, Todd Helps, Christopher R. Pantke, Peter Trent, Dianne J. Vernau, Karen M. Munday, John S. Lewin, Andrew C. Middleton, Rondo Lyons, Leslie A. Warren, Wesley C. |
author_sort | Rodney, Alana R. |
collection | PubMed |
description | Over 94 million domestic cats are susceptible to cancers and other common and rare diseases. Whole exome sequencing (WES) is a proven strategy to study these disease-causing variants. Presented is a 35.7 Mb exome capture design based on the annotated Felis_catus_9.0 genome assembly, covering 201,683 regions of the cat genome. Whole exome sequencing was conducted on 41 cats with known and unknown genetic diseases and traits, of which ten cats had matching whole genome sequence (WGS) data available, used to validate WES performance. At 80 × mean exome depth of coverage, 96.4% of on-target base coverage had a sequencing depth > 20-fold, while over 98% of single nucleotide variants (SNVs) identified by WGS were also identified by WES. Platform-specific SNVs were restricted to sex chromosomes and a small number of olfactory receptor genes. Within the 41 cats, we identified 31 previously known causal variants and discovered new gene candidate variants, including novel missense variance for polycystic kidney disease and atrichia in the Peterbald cat. These results show the utility of WES to identify novel gene candidate alleles for diseases and traits for the first time in a feline model. |
format | Online Article Text |
id | pubmed-8009874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80098742021-04-01 A domestic cat whole exome sequencing resource for trait discovery Rodney, Alana R. Buckley, Reuben M. Fulton, Robert S. Fronick, Catrina Richmond, Todd Helps, Christopher R. Pantke, Peter Trent, Dianne J. Vernau, Karen M. Munday, John S. Lewin, Andrew C. Middleton, Rondo Lyons, Leslie A. Warren, Wesley C. Sci Rep Article Over 94 million domestic cats are susceptible to cancers and other common and rare diseases. Whole exome sequencing (WES) is a proven strategy to study these disease-causing variants. Presented is a 35.7 Mb exome capture design based on the annotated Felis_catus_9.0 genome assembly, covering 201,683 regions of the cat genome. Whole exome sequencing was conducted on 41 cats with known and unknown genetic diseases and traits, of which ten cats had matching whole genome sequence (WGS) data available, used to validate WES performance. At 80 × mean exome depth of coverage, 96.4% of on-target base coverage had a sequencing depth > 20-fold, while over 98% of single nucleotide variants (SNVs) identified by WGS were also identified by WES. Platform-specific SNVs were restricted to sex chromosomes and a small number of olfactory receptor genes. Within the 41 cats, we identified 31 previously known causal variants and discovered new gene candidate variants, including novel missense variance for polycystic kidney disease and atrichia in the Peterbald cat. These results show the utility of WES to identify novel gene candidate alleles for diseases and traits for the first time in a feline model. Nature Publishing Group UK 2021-03-30 /pmc/articles/PMC8009874/ /pubmed/33785770 http://dx.doi.org/10.1038/s41598-021-86200-7 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Rodney, Alana R. Buckley, Reuben M. Fulton, Robert S. Fronick, Catrina Richmond, Todd Helps, Christopher R. Pantke, Peter Trent, Dianne J. Vernau, Karen M. Munday, John S. Lewin, Andrew C. Middleton, Rondo Lyons, Leslie A. Warren, Wesley C. A domestic cat whole exome sequencing resource for trait discovery |
title | A domestic cat whole exome sequencing resource for trait discovery |
title_full | A domestic cat whole exome sequencing resource for trait discovery |
title_fullStr | A domestic cat whole exome sequencing resource for trait discovery |
title_full_unstemmed | A domestic cat whole exome sequencing resource for trait discovery |
title_short | A domestic cat whole exome sequencing resource for trait discovery |
title_sort | domestic cat whole exome sequencing resource for trait discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009874/ https://www.ncbi.nlm.nih.gov/pubmed/33785770 http://dx.doi.org/10.1038/s41598-021-86200-7 |
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