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ABSTRACT: Background
Although diabetic kidney disease demonstrates both familial clustering and single nucleotide polymorphism heritability, the specific genetic factors influencing risk remain largely unknown.Methods
To identify genetic variants predisposing to diabetic kidney disease, we performed genome-wide association study (GWAS) analyses. Through collaboration with the Diabetes Nephropathy Collaborative Research Initiative, we assembled a large collection of type 1 diabetes cohorts with harmonized diabetic kidney disease phenotypes. We used a spectrum of ten diabetic kidney disease definitions based on albuminuria and renal function.Results
Our GWAS meta-analysis included association results for up to 19,406 individuals of European descent with type 1 diabetes. We iden
SUBMITTER: Salem RM
PROVIDER: S-EPMC6779358 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature