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Evaluation of the selection of key individuals for genotype imputation in Chinese yellow-feathered chicken
Genotype imputation is a powerful technique employed by next-generation sequencing (NGS) and genotyping arrays, which can significantly enhance the cost-effectiveness and efficiency of genomic selection. The accuracy of imputation is largely determined by the choice of reference panel, with previous...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393784/ https://www.ncbi.nlm.nih.gov/pubmed/37499612 http://dx.doi.org/10.1016/j.psj.2023.102901 |
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author | Zheng, Ming Liao, Jiahao Li, Zhuohang Xu, Zhenqiang Jiang, Ziqin Tan, Liangtian Fu, Rong Xu, Haiping Li, Zhenhui Zhang, Xiquan Nie, Qinghua |
author_facet | Zheng, Ming Liao, Jiahao Li, Zhuohang Xu, Zhenqiang Jiang, Ziqin Tan, Liangtian Fu, Rong Xu, Haiping Li, Zhenhui Zhang, Xiquan Nie, Qinghua |
author_sort | Zheng, Ming |
collection | PubMed |
description | Genotype imputation is a powerful technique employed by next-generation sequencing (NGS) and genotyping arrays, which can significantly enhance the cost-effectiveness and efficiency of genomic selection. The accuracy of imputation is largely determined by the choice of reference panel, with previous studies generally demonstrating that a closely related population as a reference panel leads to greater accuracy than a more distantly related population. Various strategies have been proposed for selecting desirable individuals via targeted resequencing, but their efficiencies need further improvement. In this study, we present a practical broiler selection methodology for a local Chinese chicken line that integrates established methods based on pedigree, genomics, and random sampling, and leverages genotype and pedigree information from the yellow-plumage dwarf chicken line. The efficacy of these selection strategies was assessed by evaluating their ability to accurately impute masked genotypes from data obtained using a 600K chip. Our findings reveal that the pedigree-based method yields superior accuracy in genotype imputation, whereas the haplotype-based method exhibits greater stability. Nonetheless, the impact of these targeted methods for selecting key individuals is slightly different when initiating a new sequencing project in a production context. Overall, this study highlights the advantages of using the pedigree-based approach as the preferred method for optimizing genotype imputation in broiler chickens. |
format | Online Article Text |
id | pubmed-10393784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103937842023-08-03 Evaluation of the selection of key individuals for genotype imputation in Chinese yellow-feathered chicken Zheng, Ming Liao, Jiahao Li, Zhuohang Xu, Zhenqiang Jiang, Ziqin Tan, Liangtian Fu, Rong Xu, Haiping Li, Zhenhui Zhang, Xiquan Nie, Qinghua Poult Sci GENETICS AND MOLECULAR BIOLOGY Genotype imputation is a powerful technique employed by next-generation sequencing (NGS) and genotyping arrays, which can significantly enhance the cost-effectiveness and efficiency of genomic selection. The accuracy of imputation is largely determined by the choice of reference panel, with previous studies generally demonstrating that a closely related population as a reference panel leads to greater accuracy than a more distantly related population. Various strategies have been proposed for selecting desirable individuals via targeted resequencing, but their efficiencies need further improvement. In this study, we present a practical broiler selection methodology for a local Chinese chicken line that integrates established methods based on pedigree, genomics, and random sampling, and leverages genotype and pedigree information from the yellow-plumage dwarf chicken line. The efficacy of these selection strategies was assessed by evaluating their ability to accurately impute masked genotypes from data obtained using a 600K chip. Our findings reveal that the pedigree-based method yields superior accuracy in genotype imputation, whereas the haplotype-based method exhibits greater stability. Nonetheless, the impact of these targeted methods for selecting key individuals is slightly different when initiating a new sequencing project in a production context. Overall, this study highlights the advantages of using the pedigree-based approach as the preferred method for optimizing genotype imputation in broiler chickens. Elsevier 2023-06-29 /pmc/articles/PMC10393784/ /pubmed/37499612 http://dx.doi.org/10.1016/j.psj.2023.102901 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | GENETICS AND MOLECULAR BIOLOGY Zheng, Ming Liao, Jiahao Li, Zhuohang Xu, Zhenqiang Jiang, Ziqin Tan, Liangtian Fu, Rong Xu, Haiping Li, Zhenhui Zhang, Xiquan Nie, Qinghua Evaluation of the selection of key individuals for genotype imputation in Chinese yellow-feathered chicken |
title | Evaluation of the selection of key individuals for genotype imputation in Chinese yellow-feathered chicken |
title_full | Evaluation of the selection of key individuals for genotype imputation in Chinese yellow-feathered chicken |
title_fullStr | Evaluation of the selection of key individuals for genotype imputation in Chinese yellow-feathered chicken |
title_full_unstemmed | Evaluation of the selection of key individuals for genotype imputation in Chinese yellow-feathered chicken |
title_short | Evaluation of the selection of key individuals for genotype imputation in Chinese yellow-feathered chicken |
title_sort | evaluation of the selection of key individuals for genotype imputation in chinese yellow-feathered chicken |
topic | GENETICS AND MOLECULAR BIOLOGY |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393784/ https://www.ncbi.nlm.nih.gov/pubmed/37499612 http://dx.doi.org/10.1016/j.psj.2023.102901 |
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