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Updated: Apr 23, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Utilizing ethnic-specific differences in minor allele frequency to recategorize reported pathogenic deafness variants
A Eliot Shearer1, Robert W Eppsteiner1, Kevin T Booth1
1Molecular Otolaryngology & Renal Research Labs, Department of Otolaryngology-Head and Neck Surgery, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
Ethnic differences in minor allele frequency affect genetic screening for nonsyndromic hearing loss (NSHL). New thresholds for variant pathogenicity were established, reclassifying 4.2% of pathogenic variants as benign to improve genetic testing accuracy.
Area of Science:
- Genetics
- Population Genetics
- Medical Genetics
Background:
- Ethnic-specific differences in minor allele frequency (MAF) complicate genetic variant interpretation for nonsyndromic hearing loss (NSHL).
- Accurate categorization of pathogenic variants is crucial for genetic screening and diagnosis of NSHL.
Purpose of the Study:
- To re-evaluate reported pathogenic NSHL variants using diverse ethnic control populations.
- To establish robust MAF thresholds for distinguishing benign from pathogenic variants in NSHL genetic testing.
Main Methods:
- Compiled a comprehensive list of NSHL variants from HGMD, ClinVar, and dbSNP.
- Analyzed variant frequencies in 8,595 individuals across 12 populations from Exome Variant Server, 1000 Genomes, and OtoDB.
- Established ethnicity-informed MAF thresholds for autosomal-recessive and autosomal-dominant variants.
Main Results:
- 325 (14.8%) of 2,197 reported pathogenic deafness variants had MAF > 0.00006 in control populations.
- Proposed MAF thresholds: 0.005 for autosomal-recessive and 0.0005 for autosomal-dominant variants.
- Recategorized 93 (4.2%) pathogenic variants as benign based on new thresholds.
Conclusions:
- Evaluating pathogenic variants with diverse ethnic MAFs and orthogonal sequencing data is a powerful pathogenicity filter.
- The proposed MAF thresholds enhance the clinical interpretation of genetic variants in NSHL testing.
- Publicly available data will aid in interpreting deafness-causing genetic variants.
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