Kiryluk Lab

GWAS using Electronic CKD Phenotype

These files provide summary statics for GWAS reported in the manuscript entitled Medical Records-based Kidney Disease Phenotype for “Big Data” Observational and Genetic Studies.

Files

README
eMERGE-III Europeans	N(Cases/controls)=7536/17841	~97MB
eMERGE-III African-Americans	N(Cases/controls)=702/2029	~110MB

References

Shang N, Khan A, Polubriaginof F, Zanoni F, Mehl K, Fasel D, Drawz PE, Carrol RJ, Denny JC, Hathcock MA, Arruda-Olson AM, Peissig PL, Dart RA, Brilliant MH, Larson EB, Carrell DS, Pendergrass S, Verma SS, Ritchie MD, Benoit B, Gainer VS, Karlson EW, Gordon AS, Jarvik GP, Stanaway IB, Crosslin D, Mohan S, Ionita-Laza I, Tatonetti NP, Gharavi A, Hripcsak G, Weng C and Kiryluk K Medical Records-based Chronic Kidney Disease Phenotype for Clinical Care and “Big Data” Observational and Genetic Studies. NPJ Digit Med.2021;4(1):70. doi: 10.1038/s41746-021-00428-1. Press