Author

Pierre Lechat

Centre National de la Recherche Scientifique

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Biology Disciplines

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Bioinformatics· 3 Genetics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Organism:human· 4 Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Research Focus:database / resource· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1

Frequent Co-Authors

Hanna JulienneiD· 3 shared Hervé MénageriD· 3 shared Hugues AschardiD· 3 shared Bjarni Jóhann VilhjálmssoniD· 2 shared Carla Lasry· 2 shared Vincent GuillemotiD· 2 shared Vincent LavilleiD· 2 shared Amaury VaysseiD· 1 shared

Activity by Year

2020-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersGenetics

Hanna JulienneORCID

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5 papers

Recent·Most cited

Trait selection strategy in multi-trait GWAS: Boosting SNPs discoverability

Yuka Suzuki, Hervé Ménager, Bryan Brancotte, Raphaël Vernet, Cyril Nerin, Christophe Boetto, Antoine Auvergne, Christophe Linhard, Rachel Torchet, Pierre Lechat, Lucie Troubat, Michael H. Cho, Emmanuelle Bouzigon, Hugues Aschard, Hanna Julienne

This study evaluates trait selection strategies in multi-trait GWAS, finding that diverse trait sets improve variant detection compared to univariate screening and specific methods like JASS outperform others.

Human Genetics and Genomics Advances · Jun 13, 2024Peer-reviewedGenetics

Construction and representation of human pangenome graphs

Francesco Andreace, Pierre Lechat, Yoann Dufresne, Rayan Chikhi

This work constructs the largest human pangenome graphs by integrating 52 haplotypes and two synthetic references, comparing five tools to evaluate their representation of genetic variation.

bioRxiv · Jun 2, 2023 · PreprintBioinformatics

SHAMAN: a user-friendly website for metataxonomic analysis from raw reads to statistical analysis

Stevenn Volant, Pierre Lechat, Perrine Woringer, Laurence Motreff, Pascal Campagne, Christophe Malabat, Sean Kennedy, Amine Ghozlane

SHAMAN provides a web tool for metataxonomic analysis, integrating data processing, statistical modeling, and visualization for non-expert users.

BMC Bioinformatics · Aug 10, 2020Peer-reviewedBioinformatics

Multitrait genetic-phenotype associations to connect disease variants and biological mechanisms

Hanna Julienne, Vincent Laville, Zachary Ryan McCaw, Zihuai He, Vincent Guillemot, Carla Lasry, Andrey Ziyatdinov, Amaury Vaysse, Pierre Lechat, Hervé Ménager, Wilfried Le Goff, Marie‐Pierre Dubé, Peter Kraft, Iuliana Ionita‐Laza, Bjarni Jóhann Vilhjálmsson, Hugues Aschard

The paper decomposes multitrait genetic associations to identify pleiotropy profiles linking SNPs to biological pathways and drug targets.

bioRxiv · Jun 26, 2020 · PreprintGenetics

JASS: Command Line and Web interface for the joint analysis of GWAS results

Hanna Julienne, Pierre Lechat, Vincent Guillemot, Carla Lasry, Chunzi Yao, Robinson Araud, Vincent Laville, Bjarni Jóhann Vilhjálmsson, Hervé Ménager, Hugues Aschard

JASS is a Python package that enables joint analysis of GWAS summary statistics to detect new genetic variants, with a web interface and efficient algorithms for large-scale analysis.

NAR Genomics and Bioinformatics · Jan 24, 2020Peer-reviewedBioinformatics