Extremely proud to share our study on pleiotropy and multi-trait #GWAS recently published in @PLOSGenetics

Here is a brief summary of the findings:
We compared several multi-trait tests on real and simulated datasets. In most situations, the test referred as Omnibus in our study turn out to have more statistical power.
Using multi-trait tests on publicly available GWAS summary statistics (36 phenotypes), we uncovered 322 new associations.
Focusing on the sets of metabolic and immunity traits, we detected several clusters of variants corresponding to contrasted pleiotropy patterns.
For the same set of traits, each cluster appears to correspond to different functional pathways.
We developed most of the software used for this study, and they are all publicly available (see "URL Resources" section of the paper). Notably, we described in depth our data pipeline in this previous publication:

Many thanks to all my co-authors, Hugues Aschard, to the @HubPasteur and @GGSPasteur.
@rvmngr @AmauryVaysse @covariani @GENES_PK @IulianaLaza @bvilhjal @haschard

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