ArticleBMC genetics2015
GPOPSIM: a simulation tool for whole-genome genetic data.
Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- HAP-SAMPLE2: data-based resampling for association studies with admixture.Bioinformatics (Oxford, England) · 2025Article
- Optimizing Genomic Parental Selection for Categorical and Continuous-Categorical Multi-Trait Mixtures.Genes · 2024Article
- The theory on and software simulating large-scale genomic data for genotype-by-environment interactions.BMC genomics · 2021Article
- Modern simulation utilities for genetic analysis.BMC bioinformatics · 2021Article
- Fast genomic prediction of breeding values using parallel Markov chain Monte Carlo with convergence diagnosis.BMC bioinformatics · 2018Article
- Using Different Single-Step Strategies to Improve the Efficiency of Genomic Prediction on Body Measurement Traits in Pig.Frontiers in genetics · 2018Article
- The Importance of Endophenotypes to Evaluate the Relationship between Genotype and External Phenotype.International journal of molecular sciences · 2017Review
- Genomic prediction with parallel computing for slaughter traits in Chinese Simmental beef cattle using high-density genotypes.PloS one · 2017Article
- Bayesian methods for jointly estimating genomic breeding values of one continuous and one threshold trait.PloS one · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPopulation-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.
resultsThe 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.
conclusionsGPOPSIM would be a useful tool for the methodological and theoretical studies in the population and quantitative genetics and breeding.
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