From gestalt to gene: early predictive dysmorphic features of PMM2-CDG

Abstract

PMM2-CDG patients' DFs are consistent and inform about clinical severity when no clear phenotype-genotype correlation is known. We propose a classification of DFs into major and minor with diagnostic risk implications. At present, Face2Gene is useful to suggest PMM2-CDG. Regarding the prognostic value of DFs, we elaborated a simple severity dysmorphology categorisation with predictive value, and we identified five major DFs associated with clinical severity. Both dysmorphology and digital analysis may help physicians to diagnose PMM2-CDG sooner.