Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases
= 0.37). This study demonstrates the potential of federated approaches to study the effects of rare bi-allelic variation.
Authors
- Y OKADA
- Henrike Heyne (ORCID: https://orcid.org/0000-0001-9893-3850)
- Sam Hodgson (ORCID: https://orcid.org/0000-0002-5610-850X)
- Cecilia M. Lindgren (ORCID: https://orcid.org/0000-0002-4903-9374)
- Frederik H. Lassen (ORCID: https://orcid.org/0000-0003-0312-209X)
- Andrea Eoli (ORCID: https://orcid.org/0000-0002-6505-3117)
- Konrad J. Karczewski (ORCID: https://orcid.org/0000-0003-2878-4671)
- Isaac Wade
- Kyuto Sonehara
- David A. van Heel
- Barney Hill
- Sarah Finer
- Wei Zhou
- Shinichi Namba
- Georgios Kalantzis
- Hilary C Martin
- Duncan S Palmer
- Benjamin M Neale
Institutions
- Broad Institute (US)
- Centre for Human Genetics (GB)
- Hasso Plattner Institute (DE)
- Queen Mary University of London (GB)
- Wellcome Sanger Institute (GB)
- University of Oxford (GB)
- Oxford BioMedica (United Kingdom) (GB)
- RIKEN Center for Integrative Medical Sciences (JP)
- The University of Tokyo (JP)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- The American Journal of Human Genetics
- Published
- 2026-05-01
- DOI
- https://doi.org/10.1016/j.ajhg.2026.04.005
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome Trust