GPOPSIM: a simulation tool for whole-genome genetic data

文献类型： 外文期刊

第一作者： Zhang, Zhe

作者： Zhang, Zhe;Li, Jiaqi;Li, Xiujin;Ding, Xiangdong;Zhang, Qin

作者机构：

关键词： Data simulation;SNP;Pedigree;Multiple traits;Mutation-drift equilibrium;Genetic correlation

期刊名称：BMC GENETICS （ 影响因子：2.797； 五年影响因子：3.263 ）

ISSN： 1471-2156

年卷期： 2015 年 16 卷

页码：

收录情况： SCI

摘要： Background: Population-wide genotypic and phenotypic data is frequently used to predict the disease risk or genetic/phenotypic values, or to localize genetic variations responsible for complex traits. GPOPSIM is a simulation tool for pedigree, phenotypes, and genomic data, with a variety of population and genome structures and trait genetic architectures. It provides flexible parameter settings for a wide discipline of users, especially can simulate multiple genetically correlated traits with desired genetic parameters and underlying genetic architectures. Results: The model implemented in GPOPSIM is presented, and the code has been made freely available to the community. Data simulated by GPOPSIM is a good mimic to the real data in terms of genome structure and trait underlying genetic architecture. Conclusions: GPOPSIM would be a useful tool for the methodological and theoretical studies in the population and quantitative genetics and breeding.

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