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Novel ANKRD11 gene mutation in an individual with a mild phenotype of KBG syndrome associated to a GEFS+ phenotypic spectrum: a case report.

Rita Maria AlvesPaolo UvaMarielza F VeigaManuela OppoFabiana C R ZschaberGiampiero PorcuHenrique P PortoIvana PersicoStefano OnanoGianmauro CuccuruRossano AtzeniLauro C N VieiraMarcos V A PiresFrancesco CuccaMaria Betânia P TorallesAndrea AngiusLaura Crisponi
Published in: BMC medical genetics (2019)
This report describe a novel de novo variant in ANKRD11 causing a mild phenotype of KGB syndrome and further supports the association of monogenic pattern of SCN9A mutations with GEFS+. Our data expand the allelic spectrum of ANKRD11 mutations, providing the first Brazilian case of KBG syndrome. Furthermore, this study offers an example of how WES has been instrumental allowing us to better dissect the clinical phenotype under study, which is a multilocus variation aggregating in one proband, rather than a phenotypic expansion associated with a single genomic locus, underscoring the role of multiple rare variants at different loci in the etiology of clinical phenotypes making problematic the diagnostic path. The successful identification of the causal variant in a gene may not be sufficient, making it necessary to identify other variants that fully explain the clinical picture. The prevalence of blended phenotypes from multiple monogenic disorders is currently unknown and will require a systematic re-analysis of large WES datasets for proper diagnosis in daily practice.
Keyphrases
  • copy number
  • genome wide
  • healthcare
  • risk factors
  • machine learning
  • electronic health record
  • quality improvement
  • transcription factor
  • artificial intelligence
  • single cell