rs12438204 - LARP6

Magnitude 2.0 · 1 study on file

Reported associations

• JASS: command line and web interface for the joint analysis of GWAS results - NAR genomics and bioinformatics (2024) · Julienne H, Lechat P, Guillemot V, Lasry C, Yao C, Araud R, Laville V, Vilhjalmsson B, Ménager H, Aschard H · PubMed 32002517

  ABSTRACT: Abstract Genome-wide association study (GWAS) has been the driving force for identifying association between genetic variants and human phenotypes. Thousands of GWAS summary statistics covering a broad range of human traits and diseases are now publicly available. These GWAS have proven their utility for a range of secondary analyses, including in particular the joint analysis of multiple phenotypes to identify new associated genetic variants. However, although several methods have been proposed, there are very few large-scale applications published so far because of challenges in implementing these methods on real data. Here, we present JASS (Joint Analysis of Summary Statistics), a polyvalent Python package that addresses this need. Our package incorporates recently developed j

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