A Contemporary Review of AudioGene audioprofiling: A machine-based candidate gene prediction tool for autosomal dominant nonsyndromic hearing loss (original) (raw)
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AudioGene: Computer-based prediction of genetic factors involved in non-syndromic hearing impairment
2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), 2011
AudioGene is a software system developed at the University of Iowa to classify and predict gene mutations that indicate causal or increased risk factors of disease. We focus on a concise example — the most likely genetic causes of a particular form of inherited hearing loss — ADNSHL. Whereas the cost and throughput involved in the collection of genomic data
Genetic causes of moderate to severe hearing loss point to modifiers
Clinical genetics, 2016
The genetic underpinnings of recessively inherited moderate to severe sensorineural hearing loss are not well understood, despite its higher prevalence in comparison to profound deafness. We recruited 92 consanguineous families segregating stable or progressive, recessively inherited moderate or severe hearing loss. We utilized homozygosity mapping, Sanger sequencing, targeted capture of known deafness genes with massively parallel sequencing and whole exome sequencing to identify the molecular basis of hearing loss in these families. Variants of the known deafness genes were found in 69% of the participating families with the SLC26A4, GJB2, MYO15A, TMC1, TMPRSS3, OTOF, MYO7A and CLDN14 genes together accounting for hearing loss in 54% of the families. We identified 20 reported and 21 novel variants in 21 known deafness genes. Sixteen of the twenty reported variants, previously associated with stable, profound deafness were associated with moderate to severe or progressive hearing l...
An Excursus into Hearing Loss, 2018
Etiology of hearing impairment (HI) is complex and comprises genetic and environmental factors. Currently, the background of genetic hearing impairment is an area of intensive research and we are witnessing fast progress in this field. The story has begun in 1997 when the DFNB1 locus was discovered with GJB2 and GJB6 genes causative for almost 50% of cases of recessive, profound, prelingual hearing loss. Nowadays, we have much more possibilities for dissecting the reason of HI, but proper assessment of clinical symptoms is essential for selecting the most optimal diagnostic pathway. In the first stage, the detailed characteristic of hearing loss including its level established by pure tone audiometry (PTA) or auditory brainstem responses (ABR), age of onset, and other helpful features as progressive or no progressive type should be provided. Subsequently, the presence or absence of accompanying symptoms should be established and followed by a detailed analysis of pedigree. In addition, modern assistive algorithms such as AudioGene, Face2Gene, and POSSUM are also discussed. Taking into account the variety of causative genes and pathogenic variants underling hearing loss, searching for causative genes, after exclusion of the DFNB1 variants, should be performed with multigenic panels based on next-generation sequencing technology.
Non-syndromic hearing loss gene identification: a brief history and glimpse into the future
Molecular and cellular probes, 2015
From the first identified non-syndromic hearing loss gene in 1995, to those discovered in present day, the field of human genetics has witnessed an unparalleled revolution that includes the completion of the Human Genome Project in 2003 to the $1,000 genome in 2014. This review highlights the classical and cutting-edge strategies for non-syndromic hearing loss gene identification that have been used throughout the twenty year history with a special emphasis on how the innovative breakthroughs in next generation sequencing technology have forever changed candidate gene approaches. The simplified approach afforded by next generation sequencing technology provides a second chance for the many linked loci in large and well characterized families that have been identified by linkage analysis but have presently failed to identify a causative gene. It also discusses some complexities that may restrict eventual candidate gene discovery and calls for novel approaches to answer some of the qu...
2021
ABSTRACTUnderstanding the genetic underpinnings of disabling hearing loss, which affects ∼466 million people worldwide, can provide avenues for new therapeutic target development. We performed a genome-wide association meta-analysis of hearing loss with 125,749 cases and 469,497 controls across five cohorts, including UK Biobank, Geisinger DiscovEHR, the Malmö Diet and Cancer Study, Mount Sinai’s BioMe Personalized Medicine Cohort, and FinnGen. We identified 53 loci affecting hearing loss risk, 15 of which are novel, including common coding variants in COL9A3 and TMPRSS3. Through exome-sequencing of 108,415 cases and 329,581 controls from the same cohorts, we identified hearing loss associations with burden of rare coding variants in FSCN2 (odds ratio [OR] = 1.14, P = 1.9 × 10−15) and burden of predicted loss-of-function variants in KLHDC7B (OR = 2.14, P = 5.2 × 10−30). We also observed single-variant and gene-burden associations with 11 genes known to cause Mendelian forms of heari...
Novel Trends in the Molecular Genetics of Hearing Loss
Journal of Hearing Science
Genetically determined hearing loss is a highly heterogeneous disorder, and to date the analysis of its causes has been conducted selectively, covering only individual genes. Breakthroughs associated with current technological advances have contributed to a rapid development in the molecular genetics of hearing loss. Here we review a number of novel and important achievements in the field: application of next-generation sequencing, novel genes, and trends in molecular therapies for hearing loss. Current achievements in the molecular genetics of hearing loss are discussed in the context of previously published results and data from our own studies.
Journal of Medical Genetics, 2011
Background Hearing is a complex trait, but until now only a few genes are known to contribute to variability of this process. In order to discover genes and pathways that underlie auditory function, a genome-wide association study was carried out within the International Consortium G-EAR. Methods Meta-analysis of genome-wide association study's data from six isolated populations of European ancestry for an overall number of 3417 individuals. Results Eight suggestive significant loci (p<10 À7 ) were detected with a series of genes expressed within the inner ear such as: DCLK1, PTPRD, GRM8, CMIP. Additional biological candidates marked by a single nucleotide polymorphism (SNP) with a suggestive association (p<10 À6 ) were identified, as well as loci encompassing 'gene desert regions'dgenes of unknown function or genes whose function has not be linked to hearing so far. Some of these new loci map to already known hereditary hearing loss loci whose genes still need to be identified. Data have also been used to construct a highly significant 'in silico' pathway for hearing function characterised by a network of 49 genes, 34 of which are certainly expressed in the ear. Conclusion These results provide new insights into the molecular basis of hearing function and may suggest new targets for hearing impairment treatment and prevention.
Gene4HL: An Integrated Genetic Database for Hearing Loss
Frontiers in Genetics, 2021
Hearing loss (HL) is one of the most common disabilities in the world. In industrialized countries, HL occurs in 1–2/1,000 newborns, and approximately 60% of HL is caused by genetic factors. Next generation sequencing (NGS) has been widely used to identify many candidate genes and variants in patients with HL, but the data are scattered in multitudinous studies. It is a challenge for scientists, clinicians, and biologists to easily obtain and analyze HL genes and variant data from these studies. Thus, we developed a one-stop database of HL-related genes and variants, Gene4HL (http://www.genemed.tech/gene4hl/), making it easy to catalog, search, browse and analyze the genetic data. Gene4HL integrates the detailed genetic and clinical data of 326 HL-related genes from 1,608 published studies, along with 62 popular genetic data sources to provide comprehensive knowledge of candidate genes and variants associated with HL. Additionally, Gene4HL supports the users to analyze their own gen...
Comprehensive molecular-genetic analysis of mid-frequency sensorineural hearing loss
Scientific Reports, 2021
The genetic heterogeneity of sensorineural hearing loss (SNHL) is a major hurdle to the detection of disease-causing variants. We aimed to identify underlying causal genes associated with mid-frequency hearing loss (HL), which contributes to less than about 1% of SNHL cases, by whole exome sequencing (WES). Thirty families segregating mid-frequency SNHL, in whom biallelic GJB2 mutations had been previously excluded, were selected from among 851 families in our DNA repository of SNHL. DNA samples from the probands were subjected to WES analysis and searched for candidate variants associated with SNHL. We were able to identify the genetic aetiology in six probands (20%). In total, we found three pathogenic and three likely pathogenic variants in four genes (COL4A5, OTOGL, TECTA, TMPRSS3). One more proband was a compound heterozygote for a pathogenic variant and a variant of uncertain significance (VUS) in MYO15A gene. To date, MYO15A and TMPRSS3 have not yet been described in associat...