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. 2023 Dec 1;39(12):btad730. doi: 10.1093/bioinformatics/btad730

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© The Author(s) 2023. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1. — Large-scale GEI methods software suite and connections in the context of an analysis workflow. GEM (previously published) conducts GWISs for single datasets. Given multi-exposure summary statistics from GEM (version 1.3 or later) or an alternative GEI testing program, REGEM can estimate genome-wide summary statistics from an associated model that re-partitions any subset of exposures into interaction covariates and simple main effect adjustments without interaction. Given multiple sets of summary statistics from GEM or an alternative GEI testing program and/or REGEM, METAGEM conducts meta-analysis for any number of jointly tested exposures and interaction covariates.