The SWine IMputation (SWIM) haplotype reference panel enables nucleotide resolution genetic mapping in pigs

被引:18
作者
Ding, Rongrong [1 ,2 ,3 ]
Savegnago, Rodrigo [2 ,10 ]
Liu, Jinding [2 ,4 ]
Long, Nanye [5 ]
Tan, Cheng [3 ,6 ]
Cai, Gengyuan [1 ,6 ]
Zhuang, Zhanwei [1 ]
Wu, Jie [1 ]
Yang, Ming [1 ]
Qiu, Yibin [1 ]
Ruan, Donglin [1 ]
Quan, Jianping [1 ,2 ]
Zheng, Enqin [1 ]
Yang, Huaqiang [1 ]
Li, Zicong [1 ,7 ]
Tan, Suxu [2 ,11 ]
Bedhane, Mohammed [2 ]
Schnabel, Robert [8 ]
Steibel, Juan [2 ,9 ]
Gondro, Cedric [2 ]
Yang, Jie [1 ,7 ]
Huang, Wen [2 ]
Wu, Zhenfang [1 ,3 ]
机构
[1] South China Agr Univ, Coll Anim Sci, Natl Engn Res Ctr Breeding Swine Ind, Guangzhou, Guangdong, Peoples R China
[2] Michigan State Univ, Dept Anim Sci, E Lansing, MI 48824 USA
[3] Yunfu Subctr Guangdong Lab Lingnan Modern Agr, Yufu, Guandong, Peoples R China
[4] Nanjing Agr Univ, Acad Adv Interdisciplinary Studies, Nanjing, Jiangsu, Peoples R China
[5] Michigan State Univ, Inst Cyber Enabled Res, E Lansing, MI USA
[6] Guangdong Zhongxin Breeding Technol Co Ltd, Guangzhou, Guangdong, Peoples R China
[7] South China Agr Univ, Guangdong Prov Key Lab Agroanim Genom & Mol Breedi, Guangzhou, Guangdong, Peoples R China
[8] Univ Missouri, Div Anim Sci, Columbia, MO USA
[9] Michigan State Univ, Dept Fisheries & Wildlife, E Lansing, MI USA
[10] Genus IntelliGen Technol, De Forest, WI USA
[11] Qingdao Univ, Coll Life Sci, Qingdao, Shandong, Peoples R China
关键词
GENOTYPE IMPUTATION; VARIANT; GROWTH; QTL;
D O I
10.1038/s42003-023-04933-9
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The SWine IMputation (SWIM) haplotype reference panel and web server offer a vast public resource to improve sequence-level imputation and genetic discoveries in pigs. Genetic mapping to identify genes and alleles associated with or causing economically important quantitative trait variation in livestock animals such as pigs is a major goal in animal genetic improvement. Despite recent advances in high-throughput genotyping technologies, the resolution of genetic mapping in pigs remains poor due in part to the low density of genotyped variant sites. In this study, we overcame this limitation by developing a reference haplotype panel for pigs based on 2259 whole genome-sequenced animals representing 44 pig breeds. We evaluated software combinations and breed composition to optimize the imputation procedure and achieved an average concordance rate in excess of 96%, a non-reference concordance rate of 88%, and an r(2) of 0.85. We demonstrated in two case studies that genotype imputation using this resource can dramatically improve the resolution of genetic mapping. A public web server has been developed to allow the pig genetics community to fully utilize this resource. We expect this resource to facilitate genetic mapping and accelerate genetic improvement in pigs.
引用
收藏
页数:10
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