The theory on and software simulating large-scale genomic data for genotype-by-environment interactions
文献类型： 外文期刊
作者： Li, Xiujin 1 ; Song, Hailiang 2 ; Zhang, Zhe 3 ; Huang, Yunmao 1 ; Zhang, Qin 4 ; Ding, Xiangdong 2 ;
作者机构： 1.Zhongkai Univ Agr & Engn, Coll Anim Sci & Technol, Guangdong Prov Key Lab Waterfowl Hlth Breeding, Guangzhou 510225, Guangdong, Peoples R China
2.China Agr Univ, Coll Anim Sci & Technol, Natl Engn Lab Anim Breeding, Key Lab Anim Genet & Breeding,Minist Agr & Rural, Beijing 100193, Peoples R China
3.South China Agr Univ, Coll Anim Sci, Guangdong Prov Key Lab Agroanim Genom & Mol Breed, Guangzhou 510642, Peoples R China
4.Shandong Agr Univ, Coll Anim Sci & Vet Med, Shandong Prov Key Lab Anim Biotechnol & Dis Contr, Tai An 271001, Shandong, Peoples R China
关键词： Data simulation; Genotype-by-environment interaction; Threshold trait; GPOPSIM2; 0
期刊名称：BMC GENOMICS （ 影响因子：4.547； 五年影响因子：4.931 ）
ISSN： 1471-2164
年卷期： 2021 年 22 卷 1 期
页码：
收录情况： SCI
摘要： Background With the emphasis on analysing genotype-by-environment interactions within the framework of genomic selection and genome-wide association analysis, there is an increasing demand for reliable tools that can be used to simulate large-scale genomic data in order to assess related approaches. Results We proposed a theory to simulate large-scale genomic data on genotype-by-environment interactions and added this new function to our developed tool GPOPSIM. Additionally, a simulated threshold trait with large-scale genomic data was also added. The validation of the simulated data indicated that GPOSPIM2.0 is an efficient tool for mimicking the phenotypic data of quantitative traits, threshold traits, and genetically correlated traits with large-scale genomic data while taking genotype-by-environment interactions into account. Conclusions This tool is useful for assessing genotype-by-environment interactions and threshold traits methods.
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