AI Article Synopsis

  • Age-related hearing impairment (ARHI) significantly affects one in three individuals over 65, leading to social isolation, depression, and a potential risk for dementia.
  • Research identified 44 significant genetic loci associated with hearing loss through genome-wide association studies involving over 250,000 UK Biobank participants, with many being novel associations.
  • The findings suggest that specific gene sets are linked to auditory processes and show correlations with personality traits, thus providing new insights into the genetics of ARHI and potential therapeutic targets.

Article Abstract

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. It causes social isolation and depression and has recently been identified as a risk factor for dementia. The genetic risk factors and underlying pathology of ARHI are largely unknown, meaning that targets for new therapies remain elusive, yet heritability estimates range between 35% and 55%. We performed genome-wide association studies (GWASs) for two self-reported hearing phenotypes, using more than 250,000 UK Biobank (UKBB) volunteers aged between 40 and 69 years. Forty-four independent genome-wide significant loci (p < 5E-08) were identified, considerably increasing the number of established trait loci. Thirty-four loci are novel associations with hearing loss of any form, and only one of the ten known hearing loci has a previously reported association with an ARHI-related trait. Gene sets from these loci are enriched in auditory processes such as synaptic activities, nervous system processes, inner ear morphology, and cognition, while genetic correlation analysis revealed strong positive correlations with multiple personality and psychological traits for the first time. Immunohistochemistry for protein localization in adult mouse cochlea implicate metabolic, sensory, and neuronal functions for NID2, CLRN2, and ARHGEF28. These results provide insight into the genetic landscape underlying ARHI, opening up novel therapeutic targets for further investigation. In a wider context, our study also highlights the viability of using self-report phenotypes for genetic discovery in very large samples when deep phenotyping is unavailable.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817556PMC
http://dx.doi.org/10.1016/j.ajhg.2019.09.008DOI Listing

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