SUMMIT Diabetic Kidney Disease GWAS: subjects with T1D, Europeans

Summary statistics are available for download from the GWAS Catalog.

Publications

A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.
van Zuydam NR, et al.
Diabetes. 2018 Jul;67(7):1414-1427. doi: 10.2337/db17-0914

The Genetic Landscape of Renal Complications in Type 1 Diabetes.
Sandholm N, et al.
J Am Soc Nephrol. 2017 Feb;28(2):557-574. doi: 10.1681/ASN.2016020231

Phenotypes

  • chronic kidney disease
  • chronic kidney disease and diabetic kidney disease
  • all diabetic kidney disease
  • late diabetic kidney disease
  • end-stage renal disease vs. no ESRD
  • eGFR-creat (serum creatinine)
  • microalbuminuria

Dataset subjects

All DKD cases All DKD controls Cohort Ancestry
T1D discovery cohorts
298 491 EURODIAB Family Study (a substudy of the EURODIAB PCS) European
1,802 1,613 Finnish Diabetic Nephropathy Study (FinnDiane) European
197 199 UK Nephropathy Family Study and Oxford Regional Prospective Study (NFS-ORPS/ Cambridge) European
266 292 Scannia Diabetes Registry (SDR) European
T1D replication cohorts
54 326 Diabetes register Vasa (DIREVA) European
823 903 All Ireland Warren 3 Genetics of Kidneys in Diabetes UK Collection (UK-ROI) European
773 821 Genetics of Kidneys in Diabetes US Study (GoKinD US) European
691 739 French and Danish effort to dissect the genetics of diabetic nephropathy European
551 720 Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) European
349 724 Joslin European
68 815 Finnish Diabetic Nephropathy Study (FinnDiane replication) European

Project

SUMMIT is a pan-European research consortium that receives support from the Innovative Medicines Initiative (IMI). It aims at identifying markers that predict the risks of developing diabetes chronic micro- and macro-vascular complications with focus on diabetic nephropathy, diabetic retinopathy, and cardiovascular disease.

Experiment summary

SUMMIT Diabetic Kidney Disease GWAS is a genome-wide meta-analysis of diabetic kidney disease analyzed in subjects with type 1 or type 2 diabetes. Several different renal phenotypes were analyzed separately in type 1 and type 2 diabetics, and a combined analysis was also performed. The 1000G phase 1 March 2012 b37 reference panel was used for imputation.

DKD phenotypes were assessed for association with each SNP using a logistic regression for binary phenotypes and a linear regression for eGFR against genotype using an additive genetic model corrected for age, sex and duration of diabetes. P values were derived from a linear mixed model that took relatedness into account as well as age, sex and duration of diabetes.

Dataset ID
GWAS_SUMMITDKD-T1DT2D_T1D_eu