Quantile regression (QR) GWAS summary statistics from the studies "Genome-wide discovery for biomarkers using quantile regression at biobank scale" (https://doi.org/10.1038/s41467-024-50726-x) and "Individualized uncertainty quantification in polygenic risk scores using conformalized quantile regression" (https://doi.org/10.1101/2025.10.13.682102). This repository contains summary data for 23 traits. This first part of the summary data comprising 39 traits is available at another Zenodo repository (https://doi.org/10.5281/zenodo.11095248). List of traits A comma-delimited text file, QRGWAS.Traits_n23.csv, includes the list of 23 quantitative traits from the UK Biobank reported in the QR GWAS and QR PRS analyses above. Summary statistics The tab-delimited text files are QR GWAS summary statistics, which are bgzip compressed (.tsv.gz files) and tabix indexed (.tbi files). Column "CHR": chromosome Column "POS": based pair position Column "ID": variant ID Column "REF": non-effect allele Column "ALT": effect allele tested in GWAS Column "EAF": frequency of the effect allele Column "N": sample size Column "P_QR": integrated p-value of the quantile regression (QR) model across multiple quantile levels. The intergrated p-value was computed using the Cauchy combination test implemented in the ACAT method (https://doi.org/10.1016/j.ajhg.2019.01.002) Column "P_LR": p-value of the linear regression (LR) association statistic Columns from "P_Q2.5" to "P_Q97.5": quantile-specific QR p-value for the quantile levels 0.025, 0.1, 0.2, ..., 0.9, 0.975 (the 2.5th, 10th, 20th, ..., 90th, and 97.5th quantiles)