Elina Kari1, Lorida Llaci2, John L Go3, Marcus Naymik2, James A Knowles4, Suzanne M Leal5, Sampath Rangasamy2, Matthew J Huentelman2, Winnie Liang2, Rick A Friedman1, Isabelle Schrauwen2,5. 1. Division of Otolaryngology, Head and Neck Surgery, Department of Surgery, University of California, San Diego, La Jolla, California, USA. 2. Neurogenomics Division and Center for Rare Childhood Disorders, Translational Genomics Research Institute, Phoenix, Arizona, USA. 3. Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA. 4. Department of Cell Biology, SUNY Downstate Medical Center, Brooklyn, New York, USA. 5. Center for Statistical Genetics, Department of Neurology, Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, New York, USA.
Abstract
OBJECTIVE: A small subset of children with congenital hearing loss have abnormal cochleovestibular nerves (i.e., absent, aplastic, or deficient cochlear nerves), with largely unknown etiology. Our objective was to investigate the underlying pathways and identify novel genetic variants responsible for cochleovestibular malformations and nerve abnormalities. It is our hypothesis that several cochleovestibular nerve abnormalities might share common causative pathways. DESIGN: We used a family-based exome sequencing approach to study 12 children with known rare inner ear and/or cochleovestibular nerve malformations. RESULTS: Our results highlight a diverse molecular etiology and suggest that genes important in the developing otic vesicle and cranial neural crest, e.g., MASP1, GREB1L, SIX1, TAF1, are likely to underlie inner ear and/or cochleovestibular nerve malformations. CONCLUSIONS: We show that several cochleovestibular nerve malformations are neurocristopathies, which is consistent with the fact that cochleovestibular nerve development is based on otic placode-derived neurons in close association with neural crest-derived glia cells. In addition, we suggest potential genetic markers for more severely affected phenotypes, which may help prognosticate individual cochlear implantation outcomes. Developing better strategies for identifying which children with abnormal nerves will benefit from a cochlear implantation is crucial, as outcomes are usually far less robust and extremely variable in this population, and current neuroimaging and electrophysiologic parameters cannot accurately predict outcomes. Identification of a suitable treatment early will reduce the use of multiple interventions during the time-sensitive period for language development.
OBJECTIVE: A small subset of children with congenital hearing loss have abnormal cochleovestibular nerves (i.e., absent, aplastic, or deficient cochlear nerves), with largely unknown etiology. Our objective was to investigate the underlying pathways and identify novel genetic variants responsible for cochleovestibular malformations and nerve abnormalities. It is our hypothesis that several cochleovestibular nerve abnormalities might share common causative pathways. DESIGN: We used a family-based exome sequencing approach to study 12 children with known rare inner ear and/or cochleovestibular nerve malformations. RESULTS: Our results highlight a diverse molecular etiology and suggest that genes important in the developing otic vesicle and cranial neural crest, e.g., MASP1, GREB1L, SIX1, TAF1, are likely to underlie inner ear and/or cochleovestibular nerve malformations. CONCLUSIONS: We show that several cochleovestibular nerve malformations are neurocristopathies, which is consistent with the fact that cochleovestibular nerve development is based on otic placode-derived neurons in close association with neural crest-derived glia cells. In addition, we suggest potential genetic markers for more severely affected phenotypes, which may help prognosticate individual cochlear implantation outcomes. Developing better strategies for identifying which children with abnormal nerves will benefit from a cochlear implantation is crucial, as outcomes are usually far less robust and extremely variable in this population, and current neuroimaging and electrophysiologic parameters cannot accurately predict outcomes. Identification of a suitable treatment early will reduce the use of multiple interventions during the time-sensitive period for language development.
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Authors: Amit Kochhar; Dana J Orten; Jessica L Sorensen; Stephanie M Fischer; Cor W R J Cremers; William J Kimberling; Richard J H Smith Journal: Hum Mutat Date: 2008-04 Impact factor: 4.878
Authors: Elina Kari; Isabelle Schrauwen; Lorida Llaci; Laurel M Fisher; John L Go; Marcus Naymik; James A Knowles; Matthew J Huentelman; Rick A Friedman Journal: Neurol Genet Date: 2017-05-11
Authors: Elina Kari; Lorida Llaci; John L Go; Marcus Naymik; James A Knowles; Suzanne M Leal; Sampath Rangasamy; Matthew J Huentelman; Rick A Friedman; Isabelle Schrauwen Journal: Mol Genet Genomic Med Date: 2019-10-08 Impact factor: 2.183
Authors: Regie Lyn P Santos-Cortez; Talitha Karisse L Yarza; Tori C Bootpetch; Ma Leah C Tantoco; Karen L Mohlke; Teresa Luisa G Cruz; Mary Ellen Chiong Perez; Abner L Chan; Nanette R Lee; Celina Ann M Tobias-Grasso; Maria Rina T Reyes-Quintos; Eva Maria Cutiongco-de la Paz; Charlotte M Chiong Journal: Genes (Basel) Date: 2021-04-13 Impact factor: 4.096