Author

Priscilia Chopard

Centre international de recherche sur le cancer

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

Signature Assays, Organisms & Methods

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Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ivana HolcátováiD· 2 shared Paul BrennaniD· 2 shared Valérie GaborieauiD· 2 shared Aida Ferreiro-IglesiasiD· 1 shared Alberto EscallóniD· 1 shared Amélie Chabrier· 1 shared Ana Carolina de CarvalhoiD· 1 shared Ana M. Baldión-Elorza· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Ivana HolcátováORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Cross-ancestral GWAS identifies 29 novel variants across Head and Neck Cancer subsites

Elmira Ebrahimi, Apiwat Sangphukieo, Hanla A. Park, Valérie Gaborieau, Aida Ferreiro-Iglesias, Brenda B. Diergaarde, Wolfgang Ahrens, Laia Alemany, Lidia MRB Arantes, Jaroslav A. Betka, Scott Victor Bratman, Cristina Canova, Michael Conlon, David Ian Conway, Mauricio Cuello, , Paolo Garzino‐Demo

This study conducts a cross-ancestral GWAS and fine mapping of head and neck squamous cell carcinoma subsites, identifying 29 novel variants and highlighting gene-environment interactions.

Nature Communications · Oct 2, 2025Peer-reviewedGenetic & Genomic Medicine

Needlestack: an ultra-sensitive variant caller for multi-sample next generation sequencing data

Tiffany Myriam Delhomme, Patrice Hodonou Avogbe, Aurélie AG Gabriel, Nicolas Alcala, Noémie Leblay, Catherine Voegele, Maxime Vallée, Priscilia Chopard, Amélie Chabrier, Behnoush Abedi‐Ardekani, Valérie Gaborieau, Ivana Holcátová, Vladimír Janout, Lenka Foretová, Sasa Milosavljevic, , Matthieu Foll

Needlestack is a variant caller that improves sensitivity for low abundance mutations by learning sequencing error rates from multi-sample data.

NAR Genomics and Bioinformatics · Apr 20, 2020Peer-reviewedBioinformatics