The importance of accurate phenotyping in large-scale analyses of common disorders such as hearing loss

Age-related hearing loss (ARHL) is a common, complex disease with high heritability, but its underlying genetic landscape remains unclear. Studying such a condition requires large cohorts, detailed genotyping, and deep phenotyping. However, while large cohorts with next-generation sequence data are becoming increasingly common, the challenge of administering audiometric tests at scale has meant that in-depth auditory phenotyping is rarely included. Here we present our analyses of three cohorts with different forms of phenotype data, which reveal the differences made by even small changes in phenotyping. Detailed audiometry enables interrogation of genetic data by auditory phenotypes, but if these data are not available, self-reports of hearing difficulty may also serve. However, relying on medical records alone is ineffective for classifying biobank participants for a common condition like ARHL, and is likely to result in many people being wrongly classified in the control group.

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Publication Details

Journal
European Journal of Human Genetics
Published
2025-09-27
DOI
https://doi.org/10.1038/s41431-025-01957-z
Primary Topic
Hearing, Cochlea, Tinnitus, Genetics
Type
article
Field-Weighted Citation Impact
0.00

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article

The importance of accurate phenotyping in large-scale analyses of common disorders such as hearing loss

Morag A. Lewis, Karen P. Steel, Judy R. Dubno, Bradley A. Schulte
European Journal of Human Genetics
Hearing, Cochlea, Tinnitus, Genetics
article

The importance of accurate phenotyping in large-scale analyses of common disorders such as hearing loss

Morag A. Lewis, Karen P. Steel, Judy R. Dubno, Bradley A. Schulte
article en

Abstract

Age-related hearing loss (ARHL) is a common, complex disease with high heritability, but its underlying genetic landscape remains unclear. Studying such a condition requires large cohorts, detailed genotyping, and deep phenotyping. However, while large cohorts with next-generation sequence data are becoming increasingly common, the challenge of administering audiometric tests at scale has meant that in-depth auditory phenotyping is rarely included. Here we present our analyses of three cohorts with different forms of phenotype data, which reveal the differences made by even small changes in phenotyping. Detailed audiometry enables interrogation of genetic data by auditory phenotypes, but if these data are not available, self-reports of hearing difficulty may also serve. However, relying on medical records alone is ineffective for classifying biobank participants for a common condition like ARHL, and is likely to result in many people being wrongly classified in the control group.

European Journal of Human GeneticsVol. 33(12)
Medical University of South Carolina (US), King's College London (GB)
Medical University of South Carolina, University of South Carolina, National Institutes of Health, South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, National Institute on Deafness and Other Communication Disorders, National Center for Research Resources, National Center for Advancing Translational Sciences
Openalex Percentile: Top 74%
Hearing, Cochlea, Tinnitus, Genetics
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The importance of accurate phenotyping in large-scale analyses of common disorders such as hearing loss — Morag A. Lewis, Karen P. Steel, et al. · European Journal of Human Genetics (2025) | TGRS Research Map | TGRS