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.

Lessons learned from 40 novel PIGA patients and a review of the literature / Bayat, Allan; Knaus, Alexej; Pendziwiat, Manuela; Afenjar, Alexandra; Barakat, Tahsin Stefan; Bosch, Friedrich; Callewaert, Bert; Calvas, Patrick; Ceulemans, Berten; Chassaing, Nicolas; Depienne, Christel; Endziniene, Milda; Ferreira, Carlos R; Moura de Souza, Carolina Fischinger; Freihuber, Cécile; Ganesan, Shiva; Gataullina, Svetlana; Guerrini, Renzo; Guerrot, Anne-Marie; Hansen, Lars; Jezela-Stanek, Aleksandra; Karsenty, Caroline; Kievit, Anneke; Kooy, Frank R; Korff, Christian M; Kragh Hansen, Johanne; Larsen, Martin; Layet, Valérie; Lesca, Gaetan; McBride, Kim L; Meuwissen, Marije; Mignot, Cyril; Montomoli, Martino; Moore, Hannah; Naudion, Sophie; Nava, Caroline; Nougues, Marie-Christine; Parrini, Elena; Pastore, Matthew; Schelhaas, Jurgen H; Skinner, Steven; Szczałuba, Krzysztoł; Thomas, Ashley; Thomassen, Mads; Tranebjaerg, Lisbeth; van Slegtenhorst, Marjon; Wolfe, Lynne A; Lal, Dennis; Gardella, Elena; Bomme Ousager, Lilian; Brünger, Tobias; Helbig, Ingo; Krawitz, Peter; Møller, Rikke S. - In: EPILEPSIA. - ISSN 1528-1167. - ELETTRONICO. - 61:(2020), pp. 1142-1155. [10.1111/epi.16545]

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

Guerrini, Renzo;Montomoli, Martino;Parrini, Elena;
2020

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.
2020
61
1142
1155
Goal 3: Good health and well-being
Bayat, Allan; Knaus, Alexej; Pendziwiat, Manuela; Afenjar, Alexandra; Barakat, Tahsin Stefan; Bosch, Friedrich; Callewaert, Bert; Calvas, Patrick; Ceu...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1462954
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