Lessons learned from 40 novel PIGA patients and a review of the literature

Allan Bayat*, Alexej Knaus, Manuela Pendziwiat, Alexandra Afenjar, Tahsin Stefan Barakat, Friedrich Bosch, Bert Callewaert, Patrick Calvas, Berten Ceulemans, Nicolas Chassaing, Christel Depienne, Milda Endziniene, Carlos R. Ferreira, Carolina Fischinger Moura de Souza, Cécile Freihuber, Shiva Ganesan, Svetlana Gataullina, Renzo Guerrini, Anne Marie Guerrot, Lars HansenAleksandra Jezela-Stanek, Caroline Karsenty, Anneke Kievit, Frank R. Kooy, Christian M. Korff, Johanne Kragh Hansen, Martin Larsen, Valérie Layet, Gaetan Lesca, Kim L. McBride, Marije Meuwissen, Cyril Mignot, Martino Montomoli, Hannah Moore, Sophie Naudion, Caroline Nava, Marie Christine Nougues, Elena Parrini, Matthew Pastore, Jurgen H. Schelhaas, Steven Skinner, Krzysztoł Szczałuba, Ashley Thomas, Mads Thomassen, Lisbeth Tranebjærg, Marjon van Slegtenhorst, Lynne A. Wolfe, Dennis Lal, Elena Gardella, Lilian Bomme Ousager, Tobias Brünger, Ingo Helbig, Peter Krawitz, Rikke S. Møller

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

41 Citations (Scopus)

Abstract

Objective: To define the phenotypic spectrum of phosphatidylinositol glycan class A protein (PIGA)-related congenital disorder of glycosylation (PIGA-CDG) and evaluate genotype-phenotype correlations. Methods: Our cohort encompasses 40 affected males with a pathogenic PIGA variant. We performed a detailed phenotypic assessment, and in addition, we reviewed the available clinical data of 36 previously published cases and assessed the variant pathogenicity using bioinformatical approaches. Results: Most individuals had hypotonia, moderate to profound global developmental delay, and intractable seizures. We found that PIGA-CDG spans from a pure neurological phenotype at the mild end to a Fryns syndrome–like phenotype. We found a high frequency of cardiac anomalies including structural anomalies and cardiomyopathy, and a high frequency of spontaneous death, especially in childhood. Comparative bioinformatical analysis of common variants, found in the healthy population, and pathogenic variants, identified in affected individuals, revealed a profound physiochemical dissimilarity of the substituted amino acids in variant constrained regions of the protein. Significance: Our comprehensive analysis of the largest cohort of published and novel PIGA patients broadens the spectrum of PIGA-CDG. Our genotype-phenotype correlation facilitates the estimation on pathogenicity of variants with unknown clinical significance and prognosis for individuals with pathogenic variants in PIGA.

Original languageEnglish
JournalEpilepsia
Volume61
Issue number6
Pages (from-to)1142-1155
ISSN0013-9580
DOIs
Publication statusPublished - 2020

Keywords

  • bioinformatical comparison
  • Fryns syndrome phenotype
  • genotype-phenotype correlation
  • mild developmental delay
  • PIGA

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