Please select the traits you want to analyze jointly with the Omnibus test. A research box bellow allows you to query our current database. The maximum number of trait that can be analyzed jointly is 64 traits. Computation time for a large number of trait can take up to half an hour.
Please select the phenotypes you want to analyze jointly with the Omnibus test. A research box bellow allows you to query our current database. The maximum number of trait that can be analyzed jointly is 64 phenotypes. Computation time for a large number of trait can take up to half an hour.
The JASS web interface efficiently compute multi-trait genome-wide association study (GWAS) and enable user to interactively explore results.
The JASS web interface efficiently compute multi-trait genome-wide association study (GWAS) and enable user to interactively explore results.
Multi-trait GWAS can increase statistical power by leveraging pleiotropy, but also can deepen our understanding of SNPs functional effect (for a detailed explanation see the citation box below).
Multi-trait GWAS can increase statistical power by leveraging pleiotropy, but also can deepen our understanding of SNPs functional effect (for a detailed explanation see the citation box below).
Currently this website host <b> NNNNNN </b> traits available for analysis with the Omnibus test.
Currently this website host a total of <b>{{getTotalPhenotypes}}</b> phenotypes available from <b>{{getTotalTables}}</b> ancestries for analysis with the Omnibus test.
All GWAS have been pre-processed using the <ahref="https://gitlab.pasteur.fr/statistical-genetics/jass_suite_pipeline">JASS pre-processing pipeline</a> and imputation of missing statistics has been conducted using the <ahref="https://gitlab.pasteur.fr/statistical-genetics/raiss">RAISS software</a>, resulting in a total of <b> NNNNN </b> SNPs available for analysis.
All GWAS have been pre-processed using the <ahref="https://gitlab.pasteur.fr/statistical-genetics/jass_suite_pipeline">JASS pre-processing pipeline</a> and imputation of missing statistics has been conducted using the <ahref="https://gitlab.pasteur.fr/statistical-genetics/raiss">RAISS software</a>, resulting in a total of <b>{{getTotalSNP}}</b> SNPs available for analysis.
To analyze data in your own facility and/or access supplementary joint analysis tests, please download and install the <ahref="https://statistical-genetics.pages.pasteur.fr/jass/">JASS python package.</a>
To analyze data in your own facility and/or access supplementary joint analysis tests, please download and install the <ahref="https://statistical-genetics.pages.pasteur.fr/jass/">JASS python package.</a>
description:'Run JASS on a set of traits genome wide, Explore result interactively and download results summary or full genome wide results. Can take up to ~30 to run depending on the number of trait selected.',
description:'Run JASS on a set of phenotypes genome wide, explore result interactively and download results summary or full genome wide results. Can take up to ~30 to run depending on the number of trait selected.',