Summary statistics are available for download from the GWAS Catalog.
Publication
Computationally efficient whole-genome regression for quantitative and binary traits.
Mbatchou J, Barnard L, Backman J, Marcketta A, Kosmicki JA, Ziyatdinov A, et al.
Nature Genetics. 2021 Jul;53(7):1097-1103. doi: 10.1038/s41588-021-00870-7.
PMID: 34017140
Phenotypes
- Osteoarthritis
Experiment summary
This methods study introduces REGENIE, a fast whole-genome regression framework for GWAS that accommodates relatedness and population structure, supports large biobank-scale analyses across many phenotypes, and achieves accurate association testing with modest memory and compute requirements. GWAS was performed on 33979 cases with osteoarthritis and 373767 controls of European ancestry.
Dataset ID
Mbatchou2021_WGRegression_EU