Summary statistics are available for download from the GWAS Catalog.
Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis.
Ishigaki K, et al.
Nat Genet. 2022 Nov;54(11):1640-1651. doi: 10.1038/s41588-022-01213-w. Epub 2022 Nov 4.
PMID: 36333501
Summary statistics are available for download from the GWAS Catalog.
Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis.
Ishigaki K, et al.
Nat Genet. 2022 Nov;54(11):1640-1651. doi: 10.1038/s41588-022-01213-w. Epub 2022 Nov 4.
PMID: 36333501
Summary statistics are available for download from the authors.
Genome-wide association meta-analysis of knee and hip osteoarthritis uncovers genetic differences between patients treated with joint replacement and patients without joint replacement.
Henkel C, et al.
Ann Rheum Dis. 2023 Mar;82(3):384-392. doi: 10.1136/ard-2022-223199. Epub 2022 Nov 14.
PMID: 36376028
Summary statistics are available for download from the GWAS Catalog.
Common and rare variant associations with clonal haematopoiesis phenotypes.
Kessler MD, et al.
Nature. 2022 Dec;612(7939):301-309. doi: 10.1038/s41586-022-05448-9. Epub 2022 Nov 30.
PMID: 36450978
Summary statistics are available for download from the GWAS Catalog.
Common and rare variant associations with clonal haematopoiesis phenotypes.
Kessler MD, et al.
Nature. 2022 Dec;612(7939):301-309. doi: 10.1038/s41586-022-05448-9. Epub 2022 Nov 30.
PMID: 36450978
Summary statistics are available for download from the GWAS Catalog.
Common and rare variant associations with clonal haematopoiesis phenotypes.
Kessler MD, et al.
Nature. 2022 Dec;612(7939):301-309. doi: 10.1038/s41586-022-05448-9. Epub 2022 Nov 30.
PMID: 36450978
Summary statistics are available for download from the GWAS Catalog.
Common and rare variant associations with clonal haematopoiesis phenotypes.
Kessler MD, et al.
Nature. 2022 Dec;612(7939):301-309. doi: 10.1038/s41586-022-05448-9. Epub 2022 Nov 30.
PMID: 36450978
Summary statistics are available for download from the GWAS Catalog.
Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction.
Miyazawa K, et al.
Nat Genet. 2023 Feb;55(2):187-197. doi: 10.1038/s41588-022-01284-9. Epub 2023 Jan 19.
PMID: 36653681
Summary statistics are available for download from the authors.
Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose.
Qiao Z, et al.
Nat Commun. 2023 Jan 27;14(1):451. doi: 10.1038/s41467-023-36013-1.
PMID: 36707517
Summary statistics will be available for download upon publication.