期刊
BMC GENETICS
卷 16, 期 -, 页码 -出版社
BMC
DOI: 10.1186/s12863-015-0173-4
关键词
Data simulation; SNP; Pedigree; Multiple traits; Mutation-drift equilibrium; Genetic correlation
资金
- National Natural Science Foundation of China [31200925, 31272418, 31371258]
- Program for Changjiang Scholar and Innovation Research Team in University [IRT1191]
- earmarked fund for China Agriculture Research System [CARS-36]
- Ph.D. Programs Foundation (the Doctoral Fund) of Ministry of Education of China [20124404120001]
- Beijing City Committee of Science and Technology Key Project
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据