Journal article
Using the phenome and genome to improve genetic diagnosis for deafness
Otolaryngology - Head and Neck Surgery (United States), Vol.147(5), pp.975-977
2012
DOI: 10.1177/0194599812454271
PMCID: PMC3694170
PMID: 22785243
Abstract
The advent of massively parallel sequencing (MPS) has revolutionized genetic testing for deafness by enabling personal genomics in diagnosis (for a comprehensive review, see Shearer et al1). This technology has drastically increased the throughput of genetic testing but concomitantly has exponentially increased the amount of genetic data generated. To address this deluge of data and to streamline analysis, we have developed a custom variant prioritization pipeline incorporating data from a patient’s genome and phenome (the patient’s phenotype). In aggregate, the patient’s phenome is his or her constellation of phenotypic traits, which for hearing loss includes the patien’s audioprofile (pattern of hearing loss on audiogram), temporal bone anatomy (imaging), and ocular pathology (fundoscopy). Here we present 3 cases to illustrate how knowledge of a patient’s phenome can assist variant prioritization by corroborating likely pathogenic variants and excluding variants of unknown significance (VUS).
Details
- Title: Subtitle
- Using the phenome and genome to improve genetic diagnosis for deafness
- Creators
- Robert W EppsteinerA. Eliot ShearerMichael S HildebrandRichard J.H SmithKyle R TaylorAdam P DeLucaTodd E ScheetzTerry A BraunThomas L CasavantSteve SchererPatrick Huygen
- Resource Type
- Journal article
- Publication Details
- Otolaryngology - Head and Neck Surgery (United States), Vol.147(5), pp.975-977
- DOI
- 10.1177/0194599812454271
- PMID
- 22785243
- PMCID
- PMC3694170
- NLM abbreviation
- Otolaryngol Head Neck Surg
- ISSN
- 0194-5998
- eISSN
- 1097-6817
- Language
- English
- Date published
- 2012
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Molecular Physiology and Biophysics; Anatomy and Cell Biology; Stead Family Department of Pediatrics; Iowa Neuroscience Institute; Center for Bioinformatics and Computational Biology; Otolaryngology; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9983980091402771
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