# Joint senior authors *Corresponding authors 2 Age-related hearing impairment (ARHI) is the most common sensory impairment in the aging population; a third of individuals are affected by disabling hearing loss by the age of 65 1 . ARHI is a multifactorial condition caused by both genetic and environmental factors, with estimates of heritability between 35% and 55% [2][3][4] . The genetic risk factors and underlying biological pathology of ARHI are largely unknown, meaning that targets for new therapies remain elusive.We performed genome-wide association studies (GWAS) for two self-reported hearing phenotypes, hearing difficulty (HDiff) and hearing aid use (HAid), using over 250,000 UK Biobank 5 volunteers aged between 40-69 years. We identified 44 independent genome-wide significant loci (P<5E-08), 33 of which have not previously been associated with any form of hearing loss. Gene sets from these loci are enriched in auditory processes such as synaptic activities, nervous system processes, inner ear morphology and cognition. Immunohistochemistry for protein localisation in adult mouse cochlea indicate metabolic, sensory and neuronal functions for NID2, CLRN2 and ARHGEF28 identified in the GWAS. These results provide new insight into the genetic landscape underlying susceptibility to ARHI.ARHI is characterised by a non-syndromic bilateral, sensorineural hearing loss that progresses with increasing age and is an established risk factor for depression 6-8 and dementia 9-12 . Hearing loss was ranked fourth in the latest study into the Global Burden of Diseases 13 , yet hearing amplification devices are the only treatment option currently available for ARHI. ARHI is expected to be a highly genetically heterogeneous trait given that over 150 genetic loci have been identified in non-syndromic hereditary hearing loss alone (https://hereditaryhearingloss.org/). Previous GWAS of ARHI have identified a small number of promising candidate genes, though there has been poor replication of findings to date, possibly reflecting varied phenotyping approaches and limited sample sizes 14-24 .We conducted two GWAS using the self-reported hearing difficulty and hearing aid use of UK Biobank (UKBB) participants and refined our results using a combination of conditional analysis, replication analysis, in silico annotation and in vivo expression analysis (see Figure 1 for study design). Our aim was to identify the genetic components of adult hearing impairment in the UK population and provide insight into the pathology of ARHI.3 UKBB participants were categorised using a case-control design based on responses to questions regarding hearing difficulty (HDiff, n=498,281) and hearing aid use (HAid, n=316,629) ( Supplementary Figure 1). A linear mixed-effects model was used to test for association between 9,740,198 SNPs and the two traits, using BOLT-LMM v.2 25 , which corrects for population stratification and within sample relatedness. Following additional quality control filters and selection of white British participants (described ...