![]() ![]() ![]() An additional statically linked binary is provided in case certain libraries cannot be found due to some difference in Linux distributions (typically an error message regarding a missing. For Linux, binaries were compiled on Debian but will also usually run on other distributions. Program and auxiliary filesĭownload links for the program itself as well as a number of auxiliary files can be found below. To be kept informed about important program updates, you can also send an email to join the (low-traffic) mailing list. doi:10.1038/s41462-6 ( link)įor questions, comments, feedback and feature requests, contact Christiaan de Leeuw. doi:10.1038/nrg.2016.29 ( link)Ī detailed workflow and guideline for conditional, joint and interaction gene-set and gene property analyis can be found in this paper:ĭe Leeuw C, Stringer S, Dekkers IA, Heskes T, Posthuma D (2018): Conditional and interaction gene-set analysis reveals novel function pathways for blood pressure. When using MAGMA, please refer to this paper.Īn in-depth statistical view of gene-set analysis in general can be found here:ĭe Leeuw C, Neale BM, Heskes T, Posthuma D (2016): The statistical properties of gene-set analysis. Details on this change are outlined here.ĭe Leeuw C, Mooij J, Heskes T, Posthuma D (2015): MAGMA: Generalized gene-set analysis of GWAS data. ![]() Note: the SNP-wise Mean model has been updated in version 1.08 of MAGMA, changing the test statistic used and the way the corresponding p-value is computed. An additional brief overview of conditional, joint and interaction modelling can be found here. It can be used to analyse both raw genotype data as well as summary SNP p-values from a previous GWAS or meta-analysis. ![]() MAGMA is a tool for gene analysis and generalized gene-set analysis of GWAS data. ![]()
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