ArticleTwin research and human genetics : the official journal of the International Society for Twin Studies2014
Epi2Loc: an R package to investigate two-locus epistatic models.
Article in Twin research and human genetics : the official journal of the International Society for Twin Studies, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018Article
- Heuristic identification of biological architectures for simulating complex hierarchical genetic interactions.Genetic epidemiology · 2015Article
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Authors and funding
3 authors.
Funding
Abstract
Epistasis is a growing area of research in genome-wide studies, but the differences between alternative definitions of epistasis remain a source of confusion for many researchers. One problem is that models for epistasis are presented in a number of formats, some of which have difficult-to-interpret parameters. In addition, the relation between the different models is rarely explained. Existing software for testing epistatic interactions between single-nucleotide polymorphisms (SNPs) does not provide the flexibility to compare the available model parameterizations. For that reason we have developed an R package for investigating epistatic and penetrance models, Epi2Loc, to aid users who wish to easily compare, interpret, and utilize models for two-locus epistatic interactions. Epi2Loc facilitates research on SNP-SNP interactions by allowing the R user to easily convert between common parametric forms for two-locus interactions, generate data for simulation studies, and perform power analyses for the selected model with a continuous or dichotomous phenotype. The usefulness of the package for model interpretation and power analysis is illustrated using data on rheumatoid arthritis.
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