The meta-analyzed GWAS summary statistics for 35 lab biomarkers described in 'Genetics of 35 blood and urine biomarkers in the UK Biobank'

The dataset contains meta-analyzed GWAS summary statistics for 35 biomarker traits described in the following preprint:
N. Sinnott-Armstrong*, Y. Tanigawa*, et al, Genetics of 38 blood and
urine biomarkers in the UK Biobank. bioRxiv, 660506 (2019).
doi:10.1101/660506

Note that we are preparing a revised version of the manuscript and
this dataset contains 35 (instead of 38) biomarker phenotypes.

We provide the list of 35 biomarkers in "list_of_35_biomarkers.tsv".
We used the "Phenotype_name" column in this table for the file names.

For each phenotype, we provide two compressed tab-delimited files,
named "[Phenotype_name].array.gz" and
"[Phenotype_name].imp.gz", which contain the summary statistics
for genetic variants on the genotyping array and the imputed dataset,
respectively.

We used METAL for the meta-analysis for 4 populations
(White British, non-British White, African, and South Asian) within UK
Biobank. The files have the following columns:

CHROM: the chromosomePOS: the positionMarkerName: the variant identifierREF: the reference alleleALT: the alternate alleleEffect: the effect size (BETA) estimateStdErr: the standard error of effect size estimateP-value: the p-value of the associationDirection: the direction of effect sizeHetISq, HetChiSq, HetDf, HetPVal: heterogeneity statistics from METAL
Note that we used GRCh37/hg19 genome reference in the analysis and the BETA is always reported for the alternate allele.

Please also check the METAL documentation (https://genome.sph.umich.edu/wiki/METAL_Documentation).

The summary statistic files are compressed with bgzip and indexed with tabix (the .tbi files). One should be able to read those files with the standard gzip/zcat.