Author

Sasha Bernatsky

McGill UniversityORCID 0000-0002-9515-2802Unclaimed 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

Assay:DNA methylation· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1

Frequent Co-Authors

Marie HudsoniD· 2 shared Anna K. NaumovaiD· 1 shared Aurélie LabbeiD· 1 shared Carolyn J. BrowniD· 1 shared Celia Greenwood· 1 shared Celia M.T. GreenwoodiD· 1 shared France GagnoniD· 1 shared Ines Colmegna· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 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

2 shared papersGenomics

Marie HudsonORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Detecting DNA methylation patterns suggestive of variable escape from X-chromosome inactivation

Qicheng Zhao, Ohanna Cavalcanti de Lima Bezerra, Kathleen Oros Klein, Mark Lamin, Marie-Claude Beaulieu, Marc Rodger, Michael Kovacs, Liam O'Neil, Carolyn J. Brown, Marie Hudson, Inés Colmegna, Sasha Bernatsky, France Gagnon, Anna K. Naumova, Qihuang Zhang, Celia M.T. Greenwood

The paper develops a statistical method to detect locus-specific escape from X-chromosome inactivation in DNA methylation data, applied to rheumatoid arthritis and venous thromboembolism datasets.

bioRxiv · Jun 19, 2026 · PreprintGenomics

An evaluation of methods correcting for cell type heterogeneity in DNA methylation studies

Kevin McGregor, Sasha Bernatsky, Ines Colmegna, Marie Hudson, Tomi Pastinen, Aurélie Labbe, Celia Greenwood

The paper evaluates methods for correcting cell-type heterogeneity in DNA methylation studies and recommends surrogate variable analysis for its consistent performance.

Genome Biology · Dec 1, 2016Peer-reviewedBioinformatics