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Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea

Until now microsatellite (MS) have been a popular choice of markers for parentage verification. Recently many countries have moved or are in process of moving from MS markers to single nucleotide polymorphism (SNP) markers for parentage testing. FAO-ISAG has also come up with a panel of 200 SNPs to...

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Autores principales: Sharma, Aditi, Park, Jong-Eun, Park, Byungho, Park, Mi-Na, Roh, Seung-Hee, Jung, Woo-Young, Lee, Seung-Hwan, Chai, Han-Ha, Chang, Gul-Won, Cho, Yong-Min, Lim, Dajeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903063/
https://www.ncbi.nlm.nih.gov/pubmed/29618182
http://dx.doi.org/10.5808/GI.2018.16.1.10
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author Sharma, Aditi
Park, Jong-Eun
Park, Byungho
Park, Mi-Na
Roh, Seung-Hee
Jung, Woo-Young
Lee, Seung-Hwan
Chai, Han-Ha
Chang, Gul-Won
Cho, Yong-Min
Lim, Dajeong
author_facet Sharma, Aditi
Park, Jong-Eun
Park, Byungho
Park, Mi-Na
Roh, Seung-Hee
Jung, Woo-Young
Lee, Seung-Hwan
Chai, Han-Ha
Chang, Gul-Won
Cho, Yong-Min
Lim, Dajeong
author_sort Sharma, Aditi
collection PubMed
description Until now microsatellite (MS) have been a popular choice of markers for parentage verification. Recently many countries have moved or are in process of moving from MS markers to single nucleotide polymorphism (SNP) markers for parentage testing. FAO-ISAG has also come up with a panel of 200 SNPs to replace the use of MS markers in parentage verification. However, in many countries most of the animals were genotyped by MS markers till now and the sudden shift to SNP markers will render the data of those animals useless. As National Institute of Animal Science in South Korea plans to move from standard ISAG recommended MS markers to SNPs, it faces the dilemma of exclusion of old animals that were genotyped by MS markers. Thus to facilitate this shift from MS to SNPs, such that the existing animals with MS data could still be used for parentage verification, this study was performed. In the current study we performed imputation of MS markers from the SNPs in the 500-kb region of the MS marker on either side. This method will provide an easy option for the labs to combine the data from the old and the current set of animals. It will be a cost efficient replacement of genotyping with the additional markers. We used 1,480 Hanwoo animals with both the MS data and SNP data to impute in the validation animals. We also compared the imputation accuracy between BovineSNP50 and BovineHD BeadChip. In our study the genotype concordance of 40% and 43% was observed in the BovineSNP50 and BovineHD BeadChip respectively.
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spelling pubmed-59030632018-05-01 Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea Sharma, Aditi Park, Jong-Eun Park, Byungho Park, Mi-Na Roh, Seung-Hee Jung, Woo-Young Lee, Seung-Hwan Chai, Han-Ha Chang, Gul-Won Cho, Yong-Min Lim, Dajeong Genomics Inform Original Article Until now microsatellite (MS) have been a popular choice of markers for parentage verification. Recently many countries have moved or are in process of moving from MS markers to single nucleotide polymorphism (SNP) markers for parentage testing. FAO-ISAG has also come up with a panel of 200 SNPs to replace the use of MS markers in parentage verification. However, in many countries most of the animals were genotyped by MS markers till now and the sudden shift to SNP markers will render the data of those animals useless. As National Institute of Animal Science in South Korea plans to move from standard ISAG recommended MS markers to SNPs, it faces the dilemma of exclusion of old animals that were genotyped by MS markers. Thus to facilitate this shift from MS to SNPs, such that the existing animals with MS data could still be used for parentage verification, this study was performed. In the current study we performed imputation of MS markers from the SNPs in the 500-kb region of the MS marker on either side. This method will provide an easy option for the labs to combine the data from the old and the current set of animals. It will be a cost efficient replacement of genotyping with the additional markers. We used 1,480 Hanwoo animals with both the MS data and SNP data to impute in the validation animals. We also compared the imputation accuracy between BovineSNP50 and BovineHD BeadChip. In our study the genotype concordance of 40% and 43% was observed in the BovineSNP50 and BovineHD BeadChip respectively. Korea Genome Organization 2018-03 2018-03-30 /pmc/articles/PMC5903063/ /pubmed/29618182 http://dx.doi.org/10.5808/GI.2018.16.1.10 Text en Copyright © 2018 by the Korea Genome Organization It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/).
spellingShingle Original Article
Sharma, Aditi
Park, Jong-Eun
Park, Byungho
Park, Mi-Na
Roh, Seung-Hee
Jung, Woo-Young
Lee, Seung-Hwan
Chai, Han-Ha
Chang, Gul-Won
Cho, Yong-Min
Lim, Dajeong
Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea
title Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea
title_full Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea
title_fullStr Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea
title_full_unstemmed Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea
title_short Accuracy of Imputation of Microsatellite Markers from BovineSNP50 and BovineHD BeadChip in Hanwoo Population of Korea
title_sort accuracy of imputation of microsatellite markers from bovinesnp50 and bovinehd beadchip in hanwoo population of korea
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903063/
https://www.ncbi.nlm.nih.gov/pubmed/29618182
http://dx.doi.org/10.5808/GI.2018.16.1.10
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