FUSION Metabochip
Dataset
All samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" dataset.
All samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" dataset.
All samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" dataset.
A genome-wide association meta-analysis identifies new childhood obesity loci.
Bradfield JP, et al.
Nat Genet. 2012 May;44(5):526-31. doi: 10.1038/ng.2247
Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen.
Salem RM, et al.
J Am Soc Nephrol. 2019 Oct;30(10):2000-2016. doi: 10.1681/ASN.2019030218
The "DIAMANTE (European) T2D GWAS" dataset includes samples from other datasets in the T2DKP:
Download URL: http://diagram-consortium.org/downloads.html
Download date: January 2018
An expanded genome-wide association study of type 2 diabetes in Europeans.
Scott RA, et al.
Diabetes. 2017 Nov;66(11):2888-2902. doi: 10.2337/db16-1253
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
Mahajan A, et al.
Nat Genet. 2014 Mar;46(3):234-44. doi: 10.1038/ng.2897.
Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.
Ligthart S, et al.
Am J Hum Genet. 2018 Nov 1;103(5):691-706. doi: 10.1016/j.ajhg.2018.09.009
Note that the samples in this dataset overlap with those in the Biobank Japan GWAS and CKDGen GWAS datasets.
All CKDGen GWAS datasets draw upon overlapping sample sets.
Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
Teumer A, et al.
Nat Commun. 2019 Sep 11;10(1):4130. doi: 10.1038/s41467-019-11576-0