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Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix.

Marena TrinidadXinying HongSteven FroelichJessica DaikerJames SaccoHong Phuc NguyenMadelynn CampagnaDean SuhrTeryn SuhrJonathan H LeBowitzMichael H GelbWyatt T Clark
Published in: Genome biology (2023)
These results provide an additional tool for clinicians to anticipate the disease course in MLD patients, identifying individuals at high risk of severe disease to support treatment access. Our results suggest that more than 1 in 3 VUS in ARSA may be pathogenic. We show that combining genetic and biochemical information increases diagnostic yield. Our strategy may apply to other recessive diseases, providing a tool to address the challenge of interpreting VUS within genotype-phenotype relationships and NBS.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • peritoneal dialysis
  • prognostic factors
  • palliative care
  • early onset
  • intellectual disability
  • genome wide
  • healthcare
  • dna methylation
  • small molecule