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<h1class="main_title"> Joint Analysis of Summary Statistics</h1>
<h1class="main_title">Welcome to JASS v2.1, a web interface for the Joint Analysis of GWAS Summary Statistics</h1>
<pclass="main_intro">
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The JASS web interface efficiently compute multi-trait genome-wide association study (GWAS) and enable user to interacively explore results.
The JASS web interface allows for a fast derivation of the joint tests of selected genome-wide association study (GWAS) summary statistics. The current version allows to perform two multivariate tests,
<br>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).
<ol><li>an omnibus K degree of freedom test, and </li>
<br>Currently this website host <b>{{initmeta.nb_phenotypes}} traits </b>available for analysis with the omnibus test.
<li>an 1 degree of freedom weighted sum of individual statistics with weights defined as the loadings of the first principal component of the genetic correlation matrix. </li>
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>{{initmeta.nb_snps}} SNPs</b> available for analysis.
</ol>
To analyze data in your own facility and/or access supplementary joint analysis tests, please download and install the JASS python package.
For more advance applications, please use the command line version. For details on the methodology, please refer to the citations below.
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<br>The online version currently includes XXX publicly available GWAS classified into XX biological categories. 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>{{initmeta.nb_snps}} SNPs</b>.
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Please select the traits you want to analyze jointly with the omnibus test. A research box to the right 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.