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Whole exome analysis of patients in Japan with hearing loss reveals high heterogeneity among responsible and novel candidate genes.

Hideki MutaiYukihide MomozawaYoichiro KamataniAtsuko NakanoHirokazu SakamotoTetsuya TakiguchiKiyomitsu NaraMichiaki KuboTatsuo Matsunaga
Published in: Orphanet journal of rare diseases (2022)
Our findings demonstrate that four-tier assessment of WES data is efficient and can detect novel candidate genes associated with hearing loss, in addition to pathogenic variants of known deafness genes.
Keyphrases
  • hearing loss
  • copy number
  • genome wide
  • electronic health record
  • single cell
  • big data
  • dna methylation
  • gene expression
  • machine learning
  • transcription factor