Author

Ronan Roussel

InsermORCID 0000-0003-2292-8363Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Research Focus:differential expression· 2 Assay:DNA methylation· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Beverley BalkauiD· 3 shared Philippe FrogueliD· 3 shared Amélie BonnefondiD· 2 shared A. Girault· 1 shared Amna KhamisiD· 1 shared Anne‐Sophie BoureauiD· 1 shared Benoît J. ArsenaultiD· 1 shared C. Born· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenomics

Beverley BalkauORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GenomicsDiabetes & MetabolismPeer-reviewedJul 1, 2022

Epigenetic changes associated with hyperglycaemia exposure in the longitudinal D.E.S.I.R. cohort.

Amna Khamis, Lijiao Ning, Beverley Balkau…·Philippe Froguel

This study examines DNA methylation changes linked to hyperglycaemia exposure in a longitudinal cohort over six years but finds no robust associations reaching FDR significance.

5 citations

humanDNA methylation

𝕏 PostBluesky

GenomicsCirculation Genomic and Precision MedicinePeer-reviewedOct 1, 2019

Genetic association analyses highlight IL6, ALPL, and NAV1 as three new susceptibility genes underlying calcific aortic valve stenosis

Sébastien Thériault, Christian Dina C, David Messika–Zeitoun…·Sylviane Vol

This study identifies three new susceptibility genes for calcific aortic valve stenosis through GWAS and TWAS, highlighting roles in inflammation, mineralization, and blood vessel integrity.

90 citations

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsbioRxivPreprintDec 13, 2018

Machine Learning in Multi-Omics Data to Assess Longitudinal Predictors of Glycaemic Health

Laurie Prélot, Harmen H. M. Draisma, Mila Desi Anasanti…·Inga Prokopenko

The paper uses machine learning to predict glycaemic traits from multi-omics data in longitudinal cohorts, identifying key predictors like methylation marks and metabolic variables.

8 citations

humanmetabolomics

𝕏 PostBluesky