0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThe major anxiety disorders (ANX; including generalized anxiety disorder, panic disorder, and phobias) are highly prevalent, often onset early, persist throughout life, and cause substantial global disability. Although distinct in their clinical presentations, they likely represent differential expressions of a dysregulated threat-response system. Here we present a genome-wide association meta-analysis comprising 122,341 European ancestry ANX cases and 729,881 controls. We identified 58 independent genome-wide significant ANX risk variants and 66 genes with robust biological support. In an independent sample of 1,175,012 self-report ANX cases and 1,956,379 controls, 51 of the 58 associated variants were replicated. As predicted by twin studies, we found substantial genetic correlation between ANX and depression, neuroticism, and other internalizing phenotypes. Follow-up analyses demonstrated enrichment in all major brain regions and highlighted GABAergic signaling as one potential mechanism underlying ANX genetic risk. These results advance our understanding of the genetic architecture of ANX and prioritize genes for functional follow-up studies.
Nora I. Strom, Brad Verhulst, Silviu‐Alin Bacanu, Rosa Cheesman, Kirstin L. Purves, Hüseyin Gedik, Brittany L. Mitchell, Alex S. F. Kwong, Annika Faucon, Kritika Singh, Sarah E. Medland, Lucía Colodro‐Conde, Kristi Krebs, Per Hoffmann, Stefan Herms, Jan Gehlen, Stephan Ripke, Swapnil Awasthi, Teemu Palviainen, Elisa Tasanko, Roseann E. Peterson, Daniel E. Adkins, Andrey A. Shabalin, Mark J. Adams, Matthew H. Iveson, Archie Campbell, Laurent F. Thomas, Bendik S. Winsvold, Ole Kristian Drange, Sigrid Børte, Abigail ter Kuile, Tan-Hoang Nguyen, Sandra Meier, Elizabeth C. Corfield, Laurie J. Hannigan, Daniel F. Levey, Darina Czamara, Heike Weber, Karmel W. Choi, Giorgio Pistis, Baptiste Couvy‐Duchesne, Sandra Van der Auwera, Alexander Teumer, Robert Karlsson, Miguel Garcia‐Argibay, Donghyung Lee, Rujia Wang, Ottar Bjerkeset, Eystein Stordal, Julia Bäckmann, Giovanni Abrahão Salum, Clement C. Zai, James L. Kennedy, Gwyneth Zai, Arun K. Tiwari, Stefanie Heilmann‐Heimbach, Börge Schmidt, Jaakko Kaprio, Martin A. Kennedy, Joseph M. Boden, Alexandra Havdahl, Christel M. Middeldorp, Fabiana L. Lopes, Nirmala Akula, Francis J. McMahon, Elisabeth B. Binder, Lydia Fehm, Andreas Ströhle, Enrique Castelao, Henning Tiemeier, Dan Joseph Stein, David C. Whiteman, Catherine M. Olsen, Zachary L. Fuller, Xin Wang, Naomi R. Wray, Enda M. Byrne, Glyn Lewis, Nicholas J. Timpson, Lea K. Davis, Ian B. Hickie, Nathan A. Gillespie, Lili Milani, Johannes Schumacher, David P.D. Woldbye, Andreas J. Forstner, Markus M. Nöthen, Iiris Hovatta, L. John Horwood, William Copeland, Hermine H. Maes, Andrew M. McIntosh, Ole A. Andreassen, John‐Anker Zwart, Ole Mors, Anders D. Børglum, Preben Bo Mortensen, Helga Ask, Ted Reichborn‐Kjennerud, Jake M. Najman (2024). Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling. , DOI: https://doi.org/10.1101/2024.07.03.24309466.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Preprint
Year
2024
Authors
100
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1101/2024.07.03.24309466
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
