1/ 🧵 For 10+ years, the Schizophrenia Working Group of the PGC has been dedicated to understanding the genetic risk factors for schizophrenia.

The Ripke lab has worked on a new stable release of RICOPILI! Updates include compatibility with GRCh38 and imputation using Minimac4. A software tarball and YAML file are provided to help resolve dependency issues: github.com/Ripkelab/ric... Any feedback is highly welcome! @pgcgenetics.bsky.social

Incredibly proud to see our latest work out in Nature Genetics: www.nature.com/articles/s41... Here we share our FLAMES framework, which predicts the effector genes in GWAS loci with state-of-the-art precision🔥 Special thanks to @daniposthu.bsky.social A full thread describing findings below!

1/n Our multi-ancestry #GWAS meta-analysis of major depression is now published in @cellpress.bsky.social. www.cell.com/cell/fulltex... A thread 🧵:

New study from the @pgcgenetics.bsky.social: Multi-ancestry GWAS of MDD in over half a million cases and 4 million controls. www.cell.com/cell/fulltex...

Thanks for the valued colleague award @pgcgenetics.bsky.social, which traveled all the way from Singapore to Berlin!

Happy to see this finally online: we investigated the genetic association signal of Borderline Personality Disorder in a GWAS meta-analysis with >12,000 cases. We identified 6 risk loci, and investigated shared genetic risk using genetic correlations and PheWAS www.medrxiv.org/content/10.1...