Author

Penny Soucy

Centre hospitalier universitaire de Québec

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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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Research Focus:variant effect prediction· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Arnaud DroitiD· 3 shared Audrey LemaçoniD· 2 shared Christoph EngeliD· 2 shared Jacques SimardiD· 2 shared Javier J. BeniteziD· 2 shared Joe DennisiD· 2 shared Jonathan P. TyreriD· 2 shared Jose Esteban CastelaoiD· 2 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Arnaud DroitORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Exome sequencing identifies novel susceptibility genes and defines the contribution of coding variants to breast cancer risk.

Naomi Wilcox, Martine Dumont, Anna González‐Neira, Sara Carvalho, Charles Joly Beauparlant, Marco Crotti, Craig Luccarini, Penny Soucy, Stéphane Dubois, Rocío Núñez‐Torres, Guillermo Pita, M. Rosario Alonso, Núria Álvarez, Caroline Baynes, Heiko Becher, , Jacques Simard

The paper uses whole-exome sequencing data to identify novel breast cancer susceptibility genes and assess the contribution of coding variants to breast cancer risk.

medRxiv · Jun 17, 2022 · PreprintGenetic & Genomic Medicine

DSNetwork: An integrative approach to visualize predictions of variants’ deleteriousness

Audrey Lemaçon, Marie‐Pier Scott‐Boyer, Penny Soucy, Régis Ongaro-Carcy, Jacques Simard, Arnaud Droit

DSNetwork aggregates variant deleteriousness predictions from multiple tools to prioritize functional variants in GWAS loci, using a web interface for visualization and analysis.

Frontiers in Genetics · Jan 17, 2020Peer-reviewedBioinformatics

Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes

GEMO Study Collaborators, Laura Fachal, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Hugues Aschard, Jonathan Beesley, Daniel R. Barnes, Jamie Allen, Siddhartha Kar, Karen A. Pooley, Joe Dennis, Kyriaki Michailidou, Constance Turman, , Peter Andreas Fasching

This study fine-maps 150 breast cancer risk regions to identify 178 high confidence target genes using genomic and functional annotations.

Nature Genetics · Jan 1, 2020Peer-reviewedGenetics