Precision newborn screening for lysosomal disorders

Melissa M Minter Baerg1, Stephanie D Stoway1, Jeremy Hart2,3

  • 1Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.

Insights

New informatics tools significantly improved newborn screening accuracy for lysosomal disorders, reducing false positives and associated caregiver stress. This enhances early detection of critical conditions like Krabbe disease, Pompe disease, and MPS I.

Area of Science:

  • Biochemistry
  • Informatics
  • Genetics

Background:

  • Newborn screening for lysosomal disorders faces challenges with poor specificity and high costs.
  • False-positive results cause significant psychosocial harm to caregivers and necessitate expensive follow-up testing.

Purpose of the Study:

  • To report an informatics solution to minimize false positives and improve specificity in newborn screening for lysosomal disorders.
  • To reduce psychosocial harm and financial burden associated with inaccurate screening results.

Main Methods:

  • Implemented multivariate pattern recognition software (Collaborative Laboratory Integrated Reports) integrated with tandem mass spectrometry.
  • Collected and analyzed 55,161 infant specimens for mucopolysaccharidosis type I (MPS I), Pompe disease, and Krabbe disease.

Main Results:

  • Achieved a false-positive rate of 0.0018% and a positive predictive value of 80%.
  • Accurately identified affected infants with Krabbe disease, Pompe disease, and MPS I, distinguishing from heterozygotes.

Conclusions:

  • Postanalytical interpretive tools are effective in drastically reducing false-positive outcomes in newborn screening.
  • Preliminary evidence suggests no increased risk of false-negative events, warranting long-term surveillance.
Abstract