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CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
Severe or Profound Sensorineural Hearing Loss Caused by Novel USH2A Variants in Korea: Potential Genotype-Phenotype Correlation |
Sang-Yeon Lee, Kwangsic Joo, Jayoung Oh, Jin Hee Han, Hye-Rim Park, Seungmin Lee, Doo-Yi Oh, Se Joon Woo, Byung Yoon Choi |
Clinical and Experimental Otorhinolaryngology. 2020;13(2):113-122. Published online 2019 November 2 DOI: https://doi.org/10.21053/ceo.2019.00990 |
Severe or Profound Sensorineural Hearing Loss Caused by Novel <i>USH2A</i> Variants in Korea: Potential Genotype-Phenotype Correlation Recessive LOXHD1 Variants Cause a Milder Prelingual Hearing Loss: Genotype-Phenotype Correlation and Three Additional Patients With Novel Variants Management of Children with Severe, Severe-profound, and Profound Sensorineural Hearing Loss Novel genotype–phenotype correlation of functionally characterized
LMX1A
variants linked to sensorineural hearing loss The importance of evaluating language in children with severe to profound sensorineural hearing loss A novel mutation at the DFNA36 hearing loss locus reveals a critical function and potential genotype-phenotype correlation for amino acid-572 of TMC1 Severe versus profound sensorineural hearing loss in children: Implications for cochlear implantation Severe Versus Profound Sensorineural Hearing Loss in Children Hearing Efficacy of Intratympanic Methylprednisolone Perfusion for Severe and Profound Sudden Sensorineural Hearing Loss Severe sensorineural hearing loss presenting as profound deafness |
This metadata service is kindly provided by CrossRef from May 29, 2014. Clin Exp Otorhinolaryngol has participated in CrossRef Text and Data Mining service since March 1, 2015. |