These files contain summary statistics from genome-wide association studies (GWAS) of urinary biomarkers in 
European unrelated individuals of the UK Biobank.

Association analyses were conducted with PLINK (version 2.0) using linear regression of biomarker levels on 
imputed genotypes assuming an additive model between phenotypes and genotype dosages. 

All models were adjusted for age, sex, batch (3 levels; UK BiLEVE, UK Biobank release 1 and UK Biobank release 
2) and the first ten genotype principal components. Analyses were restricted to single nucleotide polymorphisms 
(SNPs) with minor allele count > 30 and imputation quality information score (info) > 0.8. 

The results were pruned based on distance (500 kb) followed by true conditional analyses. 

Four summary statistics files are provided:
1) UNaUK_UKB.txt.zip: GWAS of urinary sodium/potassium ratio;
2) UNaUCr_UKB.txt.zip: GWAS of urinary sodium/creatinine ratio;
3) UACR_UKB.txt.zip: GWAS of urinary albumin/creatinine ratio;
4) UKUCr_UKB.txt.zip: GWAS of urinary potassium/creatinine ratio.

The data are presented with one row per variant, and columns as follows:

chr: chromosome number
pos: base pair position	
snpid: genetic variant identifier (chr:position:[SNP/INDEL])
effect_allele: trait-raising allele
other_allele: non-effect allele	
eaf: effect allele frequency	
ntotal: sample size
beta: beta of the linear regression	
se: standard error of the linear regression beta	
p_value: P-value	
rsq: info score (SNP quality measure)

The preferred citation is as follows:
Zanetti D, Rao A, Gustafsson S, et al. Identification of 22 novel loci associated with urinary biomarkers of 
albumin, sodium, and potassium excretion. Kidney International 2019