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Evaluation and classification of severity for 176 genes on an expanded carrier screening panel.

Aishwarya ArjunanHolly BelleroseRaul TorresRotem Ben-ShacharJodi D HoffmanBrad AngleRobert Nathan SlotnickBrittany N SimpsonAndrea M LewisPilar L MagoulasKelly BontempoJeanine SchulzeJennifer TarpinianJessica A BucherRichard DineenAllison GoetschGabriel A LazarinKatherine Johansen Taber
Published in: Prenatal diagnosis (2020)
This study classified the severity of a large set of Mendelian genes by collaborative clinical expert application of a trait-based algorithm. Further, it operationalized difficult to interpret ACOG severity criteria via mapping of disease traits, thereby promoting consistency of ACOG criteria interpretation.
Keyphrases
  • genome wide
  • machine learning
  • deep learning
  • dna methylation
  • high resolution
  • bioinformatics analysis
  • genome wide identification
  • clinical practice
  • genome wide analysis