Optimizing Genetic Testing for Deafness for Clinical Diagnostics

NIH RePORTER · NIH · R01 · $508,845 · view on reporter.nih.gov ↗

Abstract

Project Summary Hearing loss is the most common sensory deficit in humans. It is diagnosed in 1 in 500 newborns and affects half of all octogenarians. Although causality is multifactorial, in developed countries a large fraction of hearing loss is genetic and non-syndromic, i.e. not associated with other phenotypes. During the prior granting period, we implemented and integrated comprehensive genetic testing as a cornerstone in the evaluation of the deaf and hard-of-hearing person. The American College of Medical Genetics has recognized the merit of this approach, and in 2014 included comprehensive genetic testing for the evaluation of deafness in their newest treatment guidelines. In the largest study to date to corroborate this decision, we found an underlying genetic cause for hearing loss in 440 (39%) of 1119 sequentially accrued patients chosen without exclusion criteria. Pathogenic variants were present in 49 genes and included missense variants (49%), copy number changes (18%), indels (18%), nonsense variants (8%), splice-site alterations (6%) and promoter variants (<1%), making comprehensive genetic testing the single best test to order in the diagnosis of hearing loss after an audiogram. In this competitive renewal, we will build on these accomplishments by completing the following aims: • Specific Aim 1: To optimize phenotype-genotype integration in the analysis of hereditary hearing loss by refining the use of hierarchical surface clustering and audioprofile surface analysis to determine which types of genetic hearing loss are associated with clinically meaningful sub-clusters • Specific Aim 2: To validate and integrate physics-based protein modeling as a tool within the Deafness Variation Database to predict variant effect and the molecular and patient phenotype • Specific Aim 3: To identify genetic modifiers of specific deafness-causing genes predicted by hierarchical surface clustering and validated by physics-based potential free-energy modeling The successful completion of this grant will improve the clinical care of persons with hearing loss by enhancing phenome-genome integration and by making variant interpretation more robust. Knowledge gained from this proposal will also lay the foundation for refined studies focused on the identification of genetic modifiers – both positive and negative – associated with complex phenotypes such as noise- induced and age-related hearing loss.

Key facts

NIH application ID
10058828
Project number
5R01DC012049-10
Recipient
UNIVERSITY OF IOWA
Principal Investigator
TERRY A BRAUN
Activity code
R01
Funding institute
NIH
Fiscal year
2021
Award amount
$508,845
Award type
5
Project period
2011-09-21 → 2021-11-30