Author

Carla Lasry

Centre National de la Recherche Scientifique

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 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Bjarni Jóhann VilhjálmssoniD· 2 shared Hanna JulienneiD· 2 shared Hervé MénageriD· 2 shared Hugues AschardiD· 2 shared Pierre Lechat· 2 shared Vincent GuillemotiD· 2 shared Vincent LavilleiD· 2 shared Amaury VaysseiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersGenetics

Bjarni Jóhann VilhjálmssonORCID

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2 papers

Recent·Most cited

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