基因型-环境互作的大规模基因组数据的理论与软件模拟。
The theory on and software simulating large-scale genomic data for genotype-by-environment interactions.
机构信息
Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangdong, 510225, Guangzhou, People's Republic of China.
Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture and Rural Affairs, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China.
出版信息
BMC Genomics. 2021 Dec 5;22(1):877. doi: 10.1186/s12864-021-08191-z.
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.
背景
随着在基因组选择和全基因组关联分析框架内分析基因型-环境互作的强调，人们对能够用于模拟大规模基因组数据的可靠工具的需求不断增加，以便评估相关方法。
结果
我们提出了一种模拟基因型-环境互作的大规模基因组数据的理论，并将这个新功能添加到我们开发的工具 GPOPSIM 中。此外，还添加了一个具有大规模基因组数据的模拟阈值性状。模拟数据的验证表明，GPOSPIM2.0 是一种有效的工具，可以模拟具有大规模基因组数据的数量性状、阈值性状和遗传相关性状的表型数据，同时考虑基因型-环境互作。
结论
该工具可用于评估基因型-环境互作和阈值性状方法。
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