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    Simulated data are crucial for evaluating epistasis detection tools in genome-wide association studies. Existing simulators are limited, as they do not account for linkage disequilibrium (LD), support limited interaction models of single nucleotide polymorphisms (SNPs) and only dichotomous phenotypes or depend on proprietary software. In contrast, EpiGEN supports SNP interactions of arbitrary order, produces realistic LD patterns and generates both categorical and quantitative phenotypes. EpiGEN is implemented in Python 3 and is freely available at https://github.com/baumbachlab/epigen. Supplementary data are available at Bioinformatics online. © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

    Citation

    David B Blumenthal, Lorenzo Viola, Markus List, Jan Baumbach, Paolo Tieri, Tim Kacprowski. EpiGEN: an epistasis simulation pipeline. Bioinformatics (Oxford, England). 2020 Dec 08;36(19):4957-4959

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    PMID: 32289146

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