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Variant recurrence in neurodevelopmental disorders: the use of publicly available genomic data identifies clinically relevant pathogenic missense variants.

Francois LecoquierreYannis DuffourdAntonio VitobelloAnge-Line BruelBenoit UrteagaChristine CoubesPhilippine GarretSophie NambotMartin ChevarinThibaud JouanSebastien Mouttonnull nullFrédéric Tran-Mau-ThemChristophe PhilippeArthur SorlinLaurence Olivier-FaivreChristel Thauvin-Robinet
Published in: Genetics in medicine : official journal of the American College of Medical Genetics (2019)
Annotation of local variants with denovo-db can highlight missense variants with high potential for pathogenicity, both facilitating the time-consuming reanalysis process and allowing novel DD gene discoveries.
Keyphrases
  • copy number
  • genome wide
  • intellectual disability
  • dna methylation
  • electronic health record
  • risk assessment
  • machine learning
  • big data
  • pseudomonas aeruginosa
  • rna seq
  • climate change
  • candida albicans