The JASS web interface efficiently compute multi-trait genome-wide association study (GWAS) and enable user to interacively explore results.
JASS 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 {{initmeta.nb_phenotypes}} traits available 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 {{initmeta.nb_SNPs}} 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 {{initmeta.nb_snps}} SNPs available for analysis.
To analyze data in your own facility and/or access supplementary joint analysis tests, please download and install the JASS python package.