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Newborn Screening for Severe Combined Immunodeficiency Using the Multiple of the Median Values of T-Cell Receptor Excision Circles.

Michael F CogleyAmy E Wiberley-BradfordSean T MochalSandra J DaweZachary D PiroMei Wang Baker
Published in: International journal of neonatal screening (2021)
All newborn screening programs screen for severe combined immunodeficiency by measurement of T-cell receptor excision circles (TRECs). Herein, we report our experience of reporting TREC assay results as multiple of the median (MoM) rather than using conventional copy numbers. This modification simplifies the assay by eliminating the need for standards with known TREC copy numbers. Furthermore, since MoM is a measure of how far an individual test result deviates from the median, it allows normalization of TREC assay data from different laboratories, so that individual test results can be compared regardless of the particular method, assay, or reagents used.
Keyphrases
  • high throughput
  • early onset
  • emergency department
  • machine learning
  • electronic health record
  • binding protein
  • big data
  • artificial intelligence
  • deep learning
  • drug induced