Loss of function variants and locus heterogeneity in familial cholesteatoma

Cardenas, Ryan, Prinsley, Peter, Philpott, Carl ORCID: https://orcid.org/0000-0002-1125-3236, Bhutta, Mahmood F., Wilson, Emma, Brewer, Daniel ORCID: https://orcid.org/0000-0003-4753-9794 and Jennings, Barbara ORCID: https://orcid.org/0000-0003-3792-9182 (2024) Loss of function variants and locus heterogeneity in familial cholesteatoma. In: 56th European Society of Human Genetics (ESHG) Conference, 2023-06-10 - 2023-06-13.

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Abstract

Background: Cholesteatoma is a rare progressive disease of the middle ear. Most cases are sporadic, but some patients report a positive and extensive family history of cholesteatoma. Methods: We performed an observational study of 21 individuals treated for cholesteatoma who were recruited from ten multiply-affected families. We used whole exome sequencing (WES) to identify functionally important gene variants segregating with cholesteatoma in the most distantly related participants from each family. These family studies were complemented with gene-level mutational burden analysis. Results: Filtered data from pairs and trios of participants in each family revealed 398 rare, loss of function (LOF) variants co-segregating with cholesteatoma. We found LOF variants common to two (or more) families for six genes: DENND2C, DNAH7, NBEAL1, NEB, PRRC2C, and SHC2. The gene-level analysis of mutation-burden identified a significant burden for the genes in the DNAH gene family, which encode products involved in ciliary structure. Common pathways for the candidate genes included GTPase regulator activity, calcium ion binding, and degradation of the extracellular matrix. Discussion and Conclusion: The number of candidate genes identified and the locus heterogeneity that we describe within and between affected families, suggest that the genetic architecture for familial cholesteatoma is complex. We are now conducting a WES genome-wide association study of 1114 sporadic cases and matched controls from the UK Biobank cohort to follow up on these findings. We will apply machine learning and pathway analysis to further elucidate the mechanisms of disease. Grant Reference: Bernice Bibby Grant number A1136 and Rosetrees Trust R203056 Conflict of Interest: Ryan Cardenas: None declared, Peter Prinsley: None declared, Carl Philpott Grants from NIHR, grants from ESPRC, & grants from ENT, UK, Personal fees from Stryker, personal fees from Abbott, personal fees from Olympus, and Trustee of Fifth Sense., Mahmood Bhutta: None declared, Emma Wilson: None declared, Dan Brewer: None declared, Barbara Jennings: None declared

Item Type: Conference or Workshop Item (Other)
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Respiratory and Airways Group
Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health
Faculty of Medicine and Health Sciences > Research Groups > Cancer Studies
Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
Faculty of Medicine and Health Sciences > Research Centres > Population Health
Depositing User: LivePure Connector
Date Deposited: 20 Jun 2024 09:30
Last Modified: 20 Jun 2024 09:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/95641
DOI: 10.1038/s41431-023-01482-x

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