Search anything and hit enter
  • Teams
  • Members
  • Projects
  • Events
  • Calls
  • Jobs
  • publications
  • Software
  • Tools
  • Network
  • Equipment

A little guide for advanced search:

  • Tip 1. You can use quotes "" to search for an exact expression.
    Example: "cell division"
  • Tip 2. You can use + symbol to restrict results containing all words.
    Example: +cell +stem
  • Tip 3. You can use + and - symbols to force inclusion or exclusion of specific words.
    Example: +cell -stem
e.g. searching for members in projects tagged cancer
Search for
Count
IN
OUT
Content 1
  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Department Manager
  • Full Professor
  • Graduate Student
  • Lab assistant
  • Non-permanent Researcher
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
Content 2
  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Department Manager
  • Full Professor
  • Graduate Student
  • Lab assistant
  • Non-permanent Researcher
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
Search
Go back
Scroll to top
Share
Scientific Fields
Diseases
Organisms
Applications
Technique
Date
11
May 2017
Time
11:00:00
Institut Pasteur, Rue du Docteur Roux, Paris, France
Address
Building: Jacques Monod
Location
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