PurposeMowat-Wilson syndrome (MWS) is a rare intellectual disability/multiple congenital anomalies syndrome caused by heterozygous mutation of the ZEB2 gene. It is generally underestimated because its rarity and phenotypic variability sometimes make it difficult to recognize. Here, we aimed to better delineate the phenotype, natural history, and genotype-phenotype correlations of MWS.MethodsIn a collaborative study, we analyzed clinical data for 87 patients with molecularly confirmed diagnosis. We described the prevalence of all clinical aspects, including attainment of neurodevelopmental milestones, and compared the data with the various types of underlying ZEB2 pathogenic variations.ResultsAll anthropometric, somatic, and behavioral features reported here outline a variable but highly consistent phenotype. By presenting the most comprehensive evaluation of MWS to date, we define its clinical evolution occurring with age and derive suggestions for patient management. Furthermore, we observe that its severity correlates with the kind of ZEB2 variation involved, ranging from ZEB2 locus deletions, associated with severe phenotypes, to rare nonmissense intragenic mutations predicted to preserve some ZEB2 protein functionality, accompanying milder clinical presentations.ConclusionKnowledge of the phenotypic spectrum of MWS and its correlation with the genotype will improve its detection rate and the prediction of its features, thus improving patient care.GENETICS in MEDICINE advance online publication, 4 January 2018; doi:10.1038/gim.2017.221.

Phenotype and genotype of 87 patients with Mowat–Wilson syndrome and recommendations for care / Ivan Ivanovski, Olivera Djuric, Stefano Giuseppe Caraffi, Daniela Santodirocco, Marzia Pollazzon, Simonetta Rosato, Duccio Maria Cordelli, Ebtesam Abballa, Patrizia Accorsi, Margaret P. Adam, Paola Francesca Ajmone, Magdalena Badura-Stronka, Chiara Baldo, Maddalena Baldi, Allan Bayat, Stefania Bigoni, Federico Bonvicini, Jeroen Breckpot, Bert Callewaert, Guido Cocchi, Goran Cuturilo, Daniele De Brasi, Koenraad Devriendt Mary Beth Dinulos, Tina Duelund Hjortshøj, Roberta Epifanio, Francesca Faravelli, , Agata Fiumara, Debora Formisano, Lucio Giordano, Marina Grasso, Sabine Grønborg, Alessandro Iodice, Lorenzo Iughetti, Vladimir Kuburovic, Anna Kutkowska-Kazmierczak, Didier Lacombe, Caterina Lo Rizzo, Anna Luchetti, Baris Malbora, Isabella Mammi, Francesca Mari, Giulia Montorsi, Sebastien Moutton, Rikke S. Møller, Petra Muschke, Jens Erik Klint Nielsen, Ewa Obersztyn, Chiara Pantaleoni, Alessandro Pellicciari, Maria Antonietta Pisanti, Igor Prpic, Maria Luisa Poch-Olive, Federico Raviglione, Alessandra Renieri, Emilia Ricci, Francesca Rivieri, Gijs W. Santen, Salvatore Savasta, Gioacchino Scarano, Ina Schanze, Angelo Selicorni, Margherita Silengo, Robert Smigiel, Luigina Spaccini, Giovanni Sorge, Krzysztof Szczaluba, Luigi Tarani, Luis Gonzaga Tone, Annick Toutain, Aurelien Trimouille, Elvis Terci Valera, Samantha Schrier Vergano, Nicoletta Zanotta, Martin Zenker, Andrea Conidi, Marcella Zollino, Anita Rauch, Christiane Zweier, Livia Garavelli,. - In: GENETICS IN MEDICINE. - ISSN 1098-3600. - STAMPA. - 20:9(2018), pp. 965-975. [10.1038/gim.2017.221]

Phenotype and genotype of 87 patients with Mowat–Wilson syndrome and recommendations for care

Duccio Maria Cordelli;Guido Cocchi;Alessandro Pellicciari;Emilia Ricci;
2018

Abstract

PurposeMowat-Wilson syndrome (MWS) is a rare intellectual disability/multiple congenital anomalies syndrome caused by heterozygous mutation of the ZEB2 gene. It is generally underestimated because its rarity and phenotypic variability sometimes make it difficult to recognize. Here, we aimed to better delineate the phenotype, natural history, and genotype-phenotype correlations of MWS.MethodsIn a collaborative study, we analyzed clinical data for 87 patients with molecularly confirmed diagnosis. We described the prevalence of all clinical aspects, including attainment of neurodevelopmental milestones, and compared the data with the various types of underlying ZEB2 pathogenic variations.ResultsAll anthropometric, somatic, and behavioral features reported here outline a variable but highly consistent phenotype. By presenting the most comprehensive evaluation of MWS to date, we define its clinical evolution occurring with age and derive suggestions for patient management. Furthermore, we observe that its severity correlates with the kind of ZEB2 variation involved, ranging from ZEB2 locus deletions, associated with severe phenotypes, to rare nonmissense intragenic mutations predicted to preserve some ZEB2 protein functionality, accompanying milder clinical presentations.ConclusionKnowledge of the phenotypic spectrum of MWS and its correlation with the genotype will improve its detection rate and the prediction of its features, thus improving patient care.GENETICS in MEDICINE advance online publication, 4 January 2018; doi:10.1038/gim.2017.221.
2018
Phenotype and genotype of 87 patients with Mowat–Wilson syndrome and recommendations for care / Ivan Ivanovski, Olivera Djuric, Stefano Giuseppe Caraffi, Daniela Santodirocco, Marzia Pollazzon, Simonetta Rosato, Duccio Maria Cordelli, Ebtesam Abballa, Patrizia Accorsi, Margaret P. Adam, Paola Francesca Ajmone, Magdalena Badura-Stronka, Chiara Baldo, Maddalena Baldi, Allan Bayat, Stefania Bigoni, Federico Bonvicini, Jeroen Breckpot, Bert Callewaert, Guido Cocchi, Goran Cuturilo, Daniele De Brasi, Koenraad Devriendt Mary Beth Dinulos, Tina Duelund Hjortshøj, Roberta Epifanio, Francesca Faravelli, , Agata Fiumara, Debora Formisano, Lucio Giordano, Marina Grasso, Sabine Grønborg, Alessandro Iodice, Lorenzo Iughetti, Vladimir Kuburovic, Anna Kutkowska-Kazmierczak, Didier Lacombe, Caterina Lo Rizzo, Anna Luchetti, Baris Malbora, Isabella Mammi, Francesca Mari, Giulia Montorsi, Sebastien Moutton, Rikke S. Møller, Petra Muschke, Jens Erik Klint Nielsen, Ewa Obersztyn, Chiara Pantaleoni, Alessandro Pellicciari, Maria Antonietta Pisanti, Igor Prpic, Maria Luisa Poch-Olive, Federico Raviglione, Alessandra Renieri, Emilia Ricci, Francesca Rivieri, Gijs W. Santen, Salvatore Savasta, Gioacchino Scarano, Ina Schanze, Angelo Selicorni, Margherita Silengo, Robert Smigiel, Luigina Spaccini, Giovanni Sorge, Krzysztof Szczaluba, Luigi Tarani, Luis Gonzaga Tone, Annick Toutain, Aurelien Trimouille, Elvis Terci Valera, Samantha Schrier Vergano, Nicoletta Zanotta, Martin Zenker, Andrea Conidi, Marcella Zollino, Anita Rauch, Christiane Zweier, Livia Garavelli,. - In: GENETICS IN MEDICINE. - ISSN 1098-3600. - STAMPA. - 20:9(2018), pp. 965-975. [10.1038/gim.2017.221]
Ivan Ivanovski, Olivera Djuric, Stefano Giuseppe Caraffi, Daniela Santodirocco, Marzia Pollazzon, Simonetta Rosato, Duccio Maria Cordelli, Ebtesam Abballa, Patrizia Accorsi, Margaret P. Adam, Paola Francesca Ajmone, Magdalena Badura-Stronka, Chiara Baldo, Maddalena Baldi, Allan Bayat, Stefania Bigoni, Federico Bonvicini, Jeroen Breckpot, Bert Callewaert, Guido Cocchi, Goran Cuturilo, Daniele De Brasi, Koenraad Devriendt Mary Beth Dinulos, Tina Duelund Hjortshøj, Roberta Epifanio, Francesca Faravelli, , Agata Fiumara, Debora Formisano, Lucio Giordano, Marina Grasso, Sabine Grønborg, Alessandro Iodice, Lorenzo Iughetti, Vladimir Kuburovic, Anna Kutkowska-Kazmierczak, Didier Lacombe, Caterina Lo Rizzo, Anna Luchetti, Baris Malbora, Isabella Mammi, Francesca Mari, Giulia Montorsi, Sebastien Moutton, Rikke S. Møller, Petra Muschke, Jens Erik Klint Nielsen, Ewa Obersztyn, Chiara Pantaleoni, Alessandro Pellicciari, Maria Antonietta Pisanti, Igor Prpic, Maria Luisa Poch-Olive, Federico Raviglione, Alessandra Renieri, Emilia Ricci, Francesca Rivieri, Gijs W. Santen, Salvatore Savasta, Gioacchino Scarano, Ina Schanze, Angelo Selicorni, Margherita Silengo, Robert Smigiel, Luigina Spaccini, Giovanni Sorge, Krzysztof Szczaluba, Luigi Tarani, Luis Gonzaga Tone, Annick Toutain, Aurelien Trimouille, Elvis Terci Valera, Samantha Schrier Vergano, Nicoletta Zanotta, Martin Zenker, Andrea Conidi, Marcella Zollino, Anita Rauch, Christiane Zweier, Livia Garavelli,
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/645446
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