A large-scale biomedical database and research resource, that can be accessed globally by approved researchers, to enable scientific discoveries. 🔗 https://www.ukbiobank.ac.uk/

This is the official Bluesky account of the Ripke Lab for Statistical Genetics @ Charité Berlin. https://psychiatrie-psychotherapie.charite.de/en/research/experimental_psychiatry_and_epigenomics/laboratory_for_statistical_genetics/

Human Genetics, Molecular Epidemiology, Biological Psychiatry https://medicine.yale.edu/lab/polimanti/

psychologist|@zi_mannheim|psychiatric genetics|stress depression pgc.unc.edu/for-researchers/working-groups/mdd personality disorders https://zi-mannheim.de/pdgg german national cohort nako.de/en/research/expert-groups/neurological-and-psychiatric-diseases

Director of the UKRI Mental Health Platform & VP of ISPG. Prof of Biological Psychiatry and NHS Consultant

Genetics - Statistics - Psychiatry. Depression pharmacogenetics. SGDP Centre, King’s College London. Psychiatric Genomics Consortium.

Minds, moods, and molecules ␥ Psychological and psychiatric complex trait genetics ␥ Researcher in Edinburgh, Scotland https://differentialist.info/about/

Senior Lecturer in Statistical Genetics at KCL. Group GitHub: https://github.com/ColemanResearchGroup/GroupInfoPublic. Views own. He/Him

Clinical psychologist, psychotherapist and Associate Professor in Psychiatry & Epidemiology @ Amsterdam UMC. Exploring the biological underpinnings of Depression & Anxiety and how to improve their treatment.

Associate Professor, University of Utah Statistical genetics, psychiatric genetics, bioethics Chair, PGC Suicide Working Group

#Psychiatry #Genomics #Poetry

Molecular Psychiatry, Neuroscience, Genetics, Professor at Karolinska Insitutet

The NIH-funded Polygenic Risk Methods Development (PRIMED) Consortium. primedconsortium.org

With 1700+ international scientists & 900,000 participants, the PGC is the largest biological investigation in the history of psychiatry 🧬

Assistant Professor at CU Boulder interested in multivariate genomic methods development and their application to understanding shared and unique signal across human disease and risk factors.