Author

Marika Groleau

Université de SherbrookeORCID 0000-0001-6198-7724Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Marie‐France HivertiD· 3 shared Pierre‐Étienne JacquesiD· 3 shared Frédérique WhiteiD· 2 shared José Ramón BilbaoiD· 2 shared Luigi BouchardiD· 2 shared Mariona BustamanteiD· 2 shared Alba Hernangomez‐LaderasiD· 1 shared Amaia IrizariD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Marie‐France HivertORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJul 9, 2026

Placental DNA methylation captures shared and trait-specific genetic susceptibility across complex health conditions

Ariadna Cilleros‐Portet, Itziar González‐Moro, Hachem Saddiki…·Nora Fernández‐Jiménez

This study constructs a high-resolution placental mQTL resource and investigates how placental DNA methylation relates to early- and later-life traits and their shared vulnerability.

DOI 10.64898/2026.07.07.26357471

humanDNA methylation

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Genetic & Genomic MedicineNature GeneticsPeer-reviewedOct 5, 2023

Genome-wide association study of placental weight in 179,025 children and parents reveals distinct and shared genetic influences between placental and fetal growth

Robin N. Beaumont, Christopher J. Flatley, Marc Vaudel…·Pål R. Njølstad

This study identifies 40 genetic loci associated with placental weight using GWAS in 179,025 children and parents, revealing shared and distinct genetic influences with fetal growth.

73 citationstop 1%

humanGWAS summary statistics

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Genetic & Genomic MedicinemedRxivPreprintNov 30, 2021

Identification and application of plasmatic microRNA expression quantitative trait loci (miR-QTL) at first trimester of pregnancy

Frédérique White, Marika Groleau, Samuel Côté…·Pierre‐Étienne Jacques

The paper identifies miRNA expression quantitative trait loci (miR-QTL) in pregnancy and links them to pregnancy complications using genetic risk scores.

DOI 10.1101/2021.11.30.21267083

humanbulk RNA-seq

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