RICOPILI has supported the analytical capability of the PGC, encompassing over 800 investigators internationally. The consortium is a testament to collaborative science that has unified much of the field and collated data collections, and enabled rapid progress in uncovering the genetic and biological basis of psychiatric disorders. RICOPILI addresses the need for a rapid computational pipeline for GWAS that integrates leading bioinformatics resources and produces publication-ready outputs. The PGC has reported GWAS studies in high-impact publications, most of which featured RICOPILI as the main analysis pipeline—including the seminal report identifying 108 GWAS loci for schizophrenia (Ripke et al., 2014). The pipeline has been adapted across various consortia, with 112 analysts performing rapid computation for GWAS to date. For this reason, we introduce RICOPILI to an audience of principal investigators, academics, analysts and all personnel tasked with determining the common variation underlying complex, heritable diseases and traits.
