A domestic cat whole exome sequencing resource for trait discovery

Abstract 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, coverin...

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Autores principales: Alana R. Rodney, Reuben M. Buckley, Robert S. Fulton, Catrina Fronick, Todd Richmond, Christopher R. Helps, Peter Pantke, Dianne J. Trent, Karen M. Vernau, John S. Munday, Andrew C. Lewin, Rondo Middleton, Leslie A. Lyons, Wesley C. Warren
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/e18ff08359a64385b50b033630e617e2
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spelling oai:doaj.org-article:e18ff08359a64385b50b033630e617e22021-12-02T14:25:09ZA domestic cat whole exome sequencing resource for trait discovery10.1038/s41598-021-86200-72045-2322https://doaj.org/article/e18ff08359a64385b50b033630e617e22021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86200-7https://doaj.org/toc/2045-2322Abstract 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.Alana R. RodneyReuben M. BuckleyRobert S. FultonCatrina FronickTodd RichmondChristopher R. HelpsPeter PantkeDianne J. TrentKaren M. VernauJohn S. MundayAndrew C. LewinRondo MiddletonLeslie A. LyonsWesley C. WarrenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Alana R. Rodney
Reuben M. Buckley
Robert S. Fulton
Catrina Fronick
Todd Richmond
Christopher R. Helps
Peter Pantke
Dianne J. Trent
Karen M. Vernau
John S. Munday
Andrew C. Lewin
Rondo Middleton
Leslie A. Lyons
Wesley C. Warren
A domestic cat whole exome sequencing resource for trait discovery
description Abstract 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 article
author Alana R. Rodney
Reuben M. Buckley
Robert S. Fulton
Catrina Fronick
Todd Richmond
Christopher R. Helps
Peter Pantke
Dianne J. Trent
Karen M. Vernau
John S. Munday
Andrew C. Lewin
Rondo Middleton
Leslie A. Lyons
Wesley C. Warren
author_facet Alana R. Rodney
Reuben M. Buckley
Robert S. Fulton
Catrina Fronick
Todd Richmond
Christopher R. Helps
Peter Pantke
Dianne J. Trent
Karen M. Vernau
John S. Munday
Andrew C. Lewin
Rondo Middleton
Leslie A. Lyons
Wesley C. Warren
author_sort Alana R. Rodney
title A domestic cat whole exome sequencing resource for trait discovery
title_short 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_sort domestic cat whole exome sequencing resource for trait discovery
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/e18ff08359a64385b50b033630e617e2
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