Author

Mario Favre Moiron

Centre National de la Recherche Scientifique

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1

Frequent Co-Authors

Asma NouiraiD· 2 shared Marie VerbanckiD· 2 shared Martin Tournaire· 2 shared Yves RozenholciD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Asma NouiraORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintApr 11, 2026

Deriving LD-adjusted GWAS summary statistics through linkage disequilibrium deconvolution

Asma Nouira, Martin Tournaire, Mario Favre Moiron, Marie Verbanck

This paper introduces LDeconv, a method to adjust GWAS summary statistics for linkage disequilibrium, reducing false positives while preserving true associations.

DOI 10.64898/2026.04.10.26350574

GWAS summary statisticsstatistical model

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintJun 1, 2024

Inferring genetic variant networks by leveraging pleiotropy shows trait relationships drive massive pleiotropy in GWAS

Martin Tournaire, Asma Nouira, Mario Favre Moiron…·Marie Verbanck

The paper introduces PRISM, a method using pleiotropy to infer variant-trait networks, finding direct effects account for 11% of significant effects but are highly heritable.

3 citations

humanGWAS summary statistics

𝕏 PostBluesky