These files contain the summary meta-analysis data from the CKDGen consortium for the following 10 traits from the Li et al. 2017 publication:

eGFRcrea_overall_EA (Nmax=111,666)
eGFRcrea_DM_EA (Nmax=14,308)
eGFRcrea_nonDM_EA (Nmax=94,677)
eGFRcys_overall_EA (Nmax=32,861)
UACR_EA (Nmax=31,164)
eGFRcrea_overall_AA (Nmax=9,067)
eGFRcrea_DM_AA (Nmax=2,162)
eGFRcrea_nonDM_AA (Nmax=6,597)
eGFRcys_overall_AA (Nmax=4,440)
UACR_AA (Nmax=4,387)
- EA indicate analyses performed among participants of European ancestry
- AA indicate analyses performed among participants of African ancestry
- DM and nonDM indicate results from analyses stratified by diabetes status
- All other analyses were performed in the overall group

(These are .csv zipped files)

Within each file, the data are presented as follows:

chr,bp_hg19,rsID, allele1, allele2, beta, se, pval, N, 1KG_(EUR/AFR)_MAF, ExAC_(EUR/AFR)_MAF
chr=chromosome
bp_hg19=base pair position from hg19
allele1=coded allele
allele2=noncoded allele
beta=beta-coefficient for allele1 (rounded to 2 significant digits)
se=standard error (rounded to 2 significant digits)
pval=p-value (rounded to 2 significant digits)
N=sample size
1KG_(EUR/AFR)_MAF=frequency of the minor allele from the 1000G analyses in European or African ancestry
ExAC_(EUR/AFR)_MAF=frequency of the minor allele from ExAC in European or African ancestry
The preferred citation is as follows:

Li M, Li Y, Weeks O, et al.  SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. 
J Am Soc Nephrol. 2017 Mar;28(3):981-994. doi:10.1681/ASN.2016020131. Epub 2016 Dec 5. PubMed PMID: 27920155; PubMed Central PMCID: PMC5328154.