GWAS on self-reported hearing difficulty in the UK Biobank

The dataset contains results of two genome-wide association studies for age-related hearing impairment (ARHI)-related traits as described in the following publication

Wells HRR, Freidin MB, Zainul Abidin FN, Payton A, Dawes P, Munro KJ, Morton CC, Moore DR, Dawson SJ, Williams FMK. GWAS Identifies 44 Independent Associated Genomic Loci for Self-Reported Adult Hearing Difficulty in UK Biobank. Am J Hum Genet. 2019 Oct 3;105(4):788-802. doi: 10.1016/j.ajhg.2019.09.008. Epub 2019 Sep 26. 

Please cite the article if using this dataset.

Two files provide summary statistics for discovery analysis of Hearing difficulty (HD) and Hearing aid use (HAID) phenotypes for individuals of European descent from UK Biobank.

Acknowledgements

The research was carried out using the UK Biobank Resource under application number 11516. H.R.R.W. is funded by a PhD Studentship Grant, S44, from Action on Hearing Loss. The study was also supported by funding from NIHR UCLH BRC Deafness and Hearing Problems Theme, a grant from MED_EL, and the NIHR Manchester Biomedical Research Centre. The English Longitudinal Study of Aging is jointly run by University College London, Institute for Fiscal Studies, University of Manchester, and National Centre for Social Research. Genetic analyses have been carried out by UCL Genomics and funded by the Economic and Social Research Council and the National Institute on Aging. Data governance was provided by the METADAC data access committee, funded by ESRC, Wellcome, and MRC (2015-2018: Grant Number MR/N01104X/1 2018-2020: Grant Number ES/S008349/1). TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility, and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London. We would like to thank all the participants of UK Biobank, English Longitudinal Study of Aging, and TwinsUK.

Column headers:

SNP, SNP rsID

CHR, chromosome

BP, genomic position (GRCh37 build) 

ALLELE1, effect allele (coded as "1")

ALLELE0, reference allele (coded as "0") 

A1FREQ, effect allele frequency

INFO, imputation quality

BETA, effect size of effect allele

SE: standard error of effect size

P, P-value of association (without GC correction)