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Identification of the rs797045105 in the SERAC1 Gene by Whole-exome Sequencing in a Patient Suspicious of MEGDEL Syndrome.

Mina ZamaniTahereh SeifiJawaher ZeighamiNeda MazaheriEmad JahangirnezhadMinoo GholamzadehAlireza SedaghatGholamreza ShariatiHamid Galehdari
Published in: Basic and clinical neuroscience (2020)
These findings emphasize the pathogenicity of rs797045105 for MEGDEL syndrome. On the other hand, our data shed light on the significance of WES application as a genetic test to identify and characterize the comprehensive spectrum of genetic variation and classification for patients with neurometabolic disorders.
Keyphrases
  • case report
  • genome wide
  • copy number
  • machine learning
  • deep learning
  • big data
  • gene expression
  • escherichia coli
  • cystic fibrosis
  • artificial intelligence
  • staphylococcus aureus
  • data analysis
  • candida albicans