Detecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea
Although there have been many genome-wide association studies (GWAS) and selective sweep analyses to understand pig genomic regions related to growth performance, these methods considered only the gene effect and selection signal, respectively. In this study, we suggest the cross-population phenotyp...
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2021
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oai:doaj.org-article:8023e43a17284b79ac2dd22c5844c2592021-12-01T14:40:59ZDetecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea1976-83542151-248510.1080/19768354.2021.2006310https://doaj.org/article/8023e43a17284b79ac2dd22c5844c2592021-11-01T00:00:00Zhttp://dx.doi.org/10.1080/19768354.2021.2006310https://doaj.org/toc/1976-8354https://doaj.org/toc/2151-2485Although there have been many genome-wide association studies (GWAS) and selective sweep analyses to understand pig genomic regions related to growth performance, these methods considered only the gene effect and selection signal, respectively. In this study, we suggest the cross-population phenotype associated variant (XP-PAV) analysis as a novel method to determine the genomic variants with different effects between the two populations. XP-PAV analysis could reveal the differential genetic variants between the two populations by considering the gene effect and selection signal simultaneously. In this study, we used daily weight gain (DWG) and back fat thickness (BF) as phenotypes and the Landrace and Yorkshire populations were used for XP-PAV analysis. The main aim was to reveal the differential selection by considering the gene effect between Landrace and Yorkshire pigs. In the gene ontology analysis of XP-PAV results, differential selective genes in DWG analysis were involved in the regulation of interleukin-2 production and cell cycle G2/M transition. The protein modification and glycerophospholipid biosynthetic processes were the most enriched terms in the BF analysis. Therefore, we could identify genetic differences for immune and several metabolic pathways between Landrace and Yorkshire breeds using the XP-PAV analysis. In this study, we expect that XP-PAV analysis will play a role in determining useful selective variants with gene effects and provide a new interpretation of the genetic differences between the two populations.Young-Sup LeeSeungwoo SonJaeyoung HeoDonghyun ShinTaylor & Francis Grouparticlecross-population phenotype associated variant (xp-pav)differential genomic variantt-testback fat thicknessdaily weight gainMedicine (General)R5-920Biology (General)QH301-705.5ENAnimal Cells and Systems, Vol 0, Iss 0, Pp 1-8 (2021) |
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cross-population phenotype associated variant (xp-pav) differential genomic variant t-test back fat thickness daily weight gain Medicine (General) R5-920 Biology (General) QH301-705.5 |
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cross-population phenotype associated variant (xp-pav) differential genomic variant t-test back fat thickness daily weight gain Medicine (General) R5-920 Biology (General) QH301-705.5 Young-Sup Lee Seungwoo Son Jaeyoung Heo Donghyun Shin Detecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea |
description |
Although there have been many genome-wide association studies (GWAS) and selective sweep analyses to understand pig genomic regions related to growth performance, these methods considered only the gene effect and selection signal, respectively. In this study, we suggest the cross-population phenotype associated variant (XP-PAV) analysis as a novel method to determine the genomic variants with different effects between the two populations. XP-PAV analysis could reveal the differential genetic variants between the two populations by considering the gene effect and selection signal simultaneously. In this study, we used daily weight gain (DWG) and back fat thickness (BF) as phenotypes and the Landrace and Yorkshire populations were used for XP-PAV analysis. The main aim was to reveal the differential selection by considering the gene effect between Landrace and Yorkshire pigs. In the gene ontology analysis of XP-PAV results, differential selective genes in DWG analysis were involved in the regulation of interleukin-2 production and cell cycle G2/M transition. The protein modification and glycerophospholipid biosynthetic processes were the most enriched terms in the BF analysis. Therefore, we could identify genetic differences for immune and several metabolic pathways between Landrace and Yorkshire breeds using the XP-PAV analysis. In this study, we expect that XP-PAV analysis will play a role in determining useful selective variants with gene effects and provide a new interpretation of the genetic differences between the two populations. |
format |
article |
author |
Young-Sup Lee Seungwoo Son Jaeyoung Heo Donghyun Shin |
author_facet |
Young-Sup Lee Seungwoo Son Jaeyoung Heo Donghyun Shin |
author_sort |
Young-Sup Lee |
title |
Detecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea |
title_short |
Detecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea |
title_full |
Detecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea |
title_fullStr |
Detecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea |
title_full_unstemmed |
Detecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea |
title_sort |
detecting the differential genomic variants using cross-population phenotype-associated variant (xp-pav) of the landrace and yorkshire pigs in korea |
publisher |
Taylor & Francis Group |
publishDate |
2021 |
url |
https://doaj.org/article/8023e43a17284b79ac2dd22c5844c259 |
work_keys_str_mv |
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1718405002379132928 |