« Joint analysis of multiple phenotypes using GWAS summary statistics» by Hugues ASCHARD - Research - Institut Pasteur

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Neuroscience – unité Récepteurs-Canaux Lab Seminar

“Tailoring AAV for Gene Delivery and Gene Therapy” – Dr Deniz Dalkara

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Diseases

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11

May 2017

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11:00:00

Institut Pasteur, Rue du Docteur Roux, Paris, France

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Building: Jacques Monod

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2017-05-11 11:00:00 2017-05-11 00:30:00 Europe/Paris « Joint analysis of multiple phenotypes using GWAS summary statistics» by Hugues ASCHARD Hugues Aschard P.I. G5 Génétique Statistique « InBio » (C3BI) Institut Pasteur Genome-wide association studies (GWAS) have proven successful in identifying thousands of significant genetic associations for multiple traits and diseases. This success is largely thanks […] Institut Pasteur, Rue du Docteur Roux, Paris, France Micheline Fromont-Racine micheline.fromont-racine@pasteur.fr

About

Hugues Aschard

P.I. G5 Génétique Statistique « InBio » (C3BI)

Institut Pasteur

Genome-wide association studies (GWAS) have proven successful in identifying thousands of significant genetic associations for multiple traits and diseases. This success is largely thanks to the dramatic increase in sample size achieved by GWAS meta-analysis consortia. Conversely, GWAS meta-analyses across different diseases and traits have received limited attention, even though multivariate analysis enables the detection of pleiotropic genetic variants. One important reason is that existing approaches require merging individual level data, a practically daunting and risky task in consortia including dozen or even hundreds of studies. To address this problem we propose JASS (Joint Analysis of Summary Statistics), a computationally efficient framework for the multivariate analysis of multiple GWAS summary statistics. Our framework solves all practical and methodological issues related to the analysis of aggregated statistics, while maintaining the gain in power expected for individual-level data. Applying JASS for the joint analysis of publicly available GWAS of multiple traits and diseases, we identified large number of genome-wide significant variants that were missed by univariate phenotype screening.

Location

Building: Jacques Monod
Address: Institut Pasteur, Rue du Docteur Roux, Paris, France

Published on: 14 Apr 2017 • Modified on: 27 Apr 2017

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