Author
Marie-Michelle Simon
McGill Genome Centre
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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2018-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 40 mutual co-author links6 papers
Recent·Most cited
- BioinformaticsCell GenomicsPeer-reviewed
Genome graphs detect human polymorphisms in active epigenomic states during influenza infection
Cristian Groza, Xun Chen, Alain Pacis…·Guillaume Bourque
The paper uses genome graphs to detect polymorphic mobile elements in active epigenomic states during influenza infection, revealing novel peaks and modifying quantitative trait loci estimates.
- GeneticsbioRxivPreprint
Epigenetic variation impacts ancestry-associated differences in the transcriptional response to influenza infection
Katherine A Aracena, Yen‐Lung Lin, Kaixuan Luo…·Luis Bruno Barreiro
The paper shows ancestry-related differences in transcriptional response to influenza are driven by epigenetic variation and genetic control of enhancer activity.
6 citations - GeneticseLifePeer-reviewed
Application of ATAC-Seq for genome-wide analysis of the chromatin state at single myofiber resolution
Korin Sahinyan, Darren M. Blackburn, Marie-Michelle Simon…·Vahab D. Soleimani
The paper applies single myofiber ATAC-Seq to analyze chromatin state changes in skeletal muscle under different conditions, revealing differences in chromatin accessibility between resting and regenerating myofibers.
- GeneticsbioRxivPreprint
GSDMA drives the most replicated association with asthma in naïve CD4+ T cells
Anne‐Marie Madore, Lucile Pain, Anne‐Marie Boucher‐Lafleur…·Catherine Laprise
The paper identifies GSDMA as a gene in naive CD4+ T cells that modulates expression and methylation levels, driving the 17q12-21 asthma association.
1 citation - GenomicsNature GeneticsPeer-reviewed
An Atlas of Human and Murine Genetic Influences on Osteoporosis
John A. Morris, John P. Kemp, Scott E. Youlten…·John Brent Richards
This paper identifies 518 genetic loci associated with bone mineral density and fracture risk, validates causal genes in mice, and provides insights for osteoporosis drug development.