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Imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies
Genomic resources for the domestic dog have improved with the widespread adoption of a 173k SNP array platform and updated reference genome. SNP arrays of this density are sufficient for detecting genetic associations within breeds but are underpowered for finding associations across multiple breeds...
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/PMC6762211/ https://www.ncbi.nlm.nih.gov/pubmed/31525180 http://dx.doi.org/10.1371/journal.pgen.1008003 |
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author | Hayward, Jessica J. White, Michelle E. Boyle, Michael Shannon, Laura M. Casal, Margret L. Castelhano, Marta G. Center, Sharon A. Meyers-Wallen, Vicki N. Simpson, Kenneth W. Sutter, Nathan B. Todhunter, Rory J. Boyko, Adam R. |
author_facet | Hayward, Jessica J. White, Michelle E. Boyle, Michael Shannon, Laura M. Casal, Margret L. Castelhano, Marta G. Center, Sharon A. Meyers-Wallen, Vicki N. Simpson, Kenneth W. Sutter, Nathan B. Todhunter, Rory J. Boyko, Adam R. |
author_sort | Hayward, Jessica J. |
collection | PubMed |
description | Genomic resources for the domestic dog have improved with the widespread adoption of a 173k SNP array platform and updated reference genome. SNP arrays of this density are sufficient for detecting genetic associations within breeds but are underpowered for finding associations across multiple breeds or in mixed-breed dogs, where linkage disequilibrium rapidly decays between markers, even though such studies would hold particular promise for mapping complex diseases and traits. Here we introduce an imputation reference panel, consisting of 365 diverse, whole-genome sequenced dogs and wolves, which increases the number of markers that can be queried in genome-wide association studies approximately 130-fold. Using previously genotyped dogs, we show the utility of this reference panel in identifying potentially novel associations, including a locus on CFA20 significantly associated with cranial cruciate ligament disease, and fine-mapping for canine body size and blood phenotypes, even when causal loci are not in strong linkage disequilibrium with any single array marker. This reference panel resource will improve future genome-wide association studies for canine complex diseases and other phenotypes. |
format | Online Article Text |
id | pubmed-6762211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67622112019-10-11 Imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies Hayward, Jessica J. White, Michelle E. Boyle, Michael Shannon, Laura M. Casal, Margret L. Castelhano, Marta G. Center, Sharon A. Meyers-Wallen, Vicki N. Simpson, Kenneth W. Sutter, Nathan B. Todhunter, Rory J. Boyko, Adam R. PLoS Genet Research Article Genomic resources for the domestic dog have improved with the widespread adoption of a 173k SNP array platform and updated reference genome. SNP arrays of this density are sufficient for detecting genetic associations within breeds but are underpowered for finding associations across multiple breeds or in mixed-breed dogs, where linkage disequilibrium rapidly decays between markers, even though such studies would hold particular promise for mapping complex diseases and traits. Here we introduce an imputation reference panel, consisting of 365 diverse, whole-genome sequenced dogs and wolves, which increases the number of markers that can be queried in genome-wide association studies approximately 130-fold. Using previously genotyped dogs, we show the utility of this reference panel in identifying potentially novel associations, including a locus on CFA20 significantly associated with cranial cruciate ligament disease, and fine-mapping for canine body size and blood phenotypes, even when causal loci are not in strong linkage disequilibrium with any single array marker. This reference panel resource will improve future genome-wide association studies for canine complex diseases and other phenotypes. Public Library of Science 2019-09-16 /pmc/articles/PMC6762211/ /pubmed/31525180 http://dx.doi.org/10.1371/journal.pgen.1008003 Text en © 2019 Hayward 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 Hayward, Jessica J. White, Michelle E. Boyle, Michael Shannon, Laura M. Casal, Margret L. Castelhano, Marta G. Center, Sharon A. Meyers-Wallen, Vicki N. Simpson, Kenneth W. Sutter, Nathan B. Todhunter, Rory J. Boyko, Adam R. Imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies |
title | Imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies |
title_full | Imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies |
title_fullStr | Imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies |
title_full_unstemmed | Imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies |
title_short | Imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies |
title_sort | imputation of canine genotype array data using 365 whole-genome sequences improves power of genome-wide association studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6762211/ https://www.ncbi.nlm.nih.gov/pubmed/31525180 http://dx.doi.org/10.1371/journal.pgen.1008003 |
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