The following gzipped files contain GWAS meta-analysis summary statistics of
kidney function traits from recently completed efforts of the CKDGen Consortium
("CKDGen Round 4"). A manuscript accompanying these data titled "A catalogue of
molecular targets for kidney function from genetic analyses of a million
individuals" is in revision at Nature Genetics. We would like to include a link
to the CHARGE Summary Results site (phs000930.v6.p1) in dbGaP in the
publication.

20171016_MW_eGFR_overall_ALL_nstud61.dbgap.txt.gz
    - estimated GFR, trans-ethnic
20171017_MW_eGFR_overall_EA_nstud42.dbgap.txt.gz
    - estimated GFR, European ancestry
BUN_overall_ALL_YL_20171017_METAL1_nstud_33.dbgap.txt.gz
    - Blood Urea Nitrogen, trans-ethnic
BUN_overall_EA_YL_20171108_METAL1_nstud24.dbgap.txt.gz
    - Blood Urea Nitrogen, European ancestry
CKD_overall_ALL_JW_20180223_nstud30.dbgap.txt.gz
    - Chronic Kidney Disease, trans-ethnic
CKD_overall_EA_JW_20180223_nstud23.dbgap.txt.gz
    - Chronic Kidney Disease, European ancestry

Column description of the summary files:

Chr: chromosome
Pos_b37: base pair position on human genome build 37
RSID: rs-identifier
Allele1: coded (effect) allele
Allele2: noncoded allele
Freq1: frequency of Allele1
Effect: beta coefficient for Allele1
StdErr: standard error
P-value: p-value
n_total_sum: sample size

Study-specific files have been corrected for genomic control prior to
meta-analysis, but not after meta-analysis, since the LD score regression
intercept was close to 1. A copy of the accepted paper and supplementary
material will be submitted once the publication is accepted. Please contact us
if details related to quality control, variant filtering and filtering of the
meta-analysis results are required at this point.

Contact:
Matthias Wuttke, matthias.wuttke@uniklinik-freiburg.de
Yong Li, yong.li@uniklinik-freiburg.de
Anna Kottgen, anna.koettgen@uniklinik-freiburg.de or akottge1@jhu.edu
Cristian Pattaro, cristian.pattaro@eurac.edu