Davide Mei, Simona Balestrini, Elena Parrini, Antonio Gambardella, Grazia Annesi, Valentina De Giorgis, Simone Gana, Maria Teresa Bassi, Claudio Zucca, Maurizio Elia, Luigi Vetri, Barbara Castellotti, Francesca Ragona, Mario Mastrangelo, Francesco Pisani, Giuseppe d'Orsi, Massimo Carella, Dario Pruna, Sabrina Giglio, Carla Marini, Elisabetta Cesaroni, Antonella Riva, Marcello Scala, Laura Licchetta, Raffaella Minardi, Ilaria Contaldo, Maria Luigia Gambardella, Alberto Cossu, Jacopo Proietti, Gaetano Cantalupo, Marina Trivisano, Angela De Dominicis, Nicola Specchio, Laura Tassi, Renzo Guerrini
{"title":"意大利遗传性发育和癫痫性脑病的单基因病因流行率全国调查。","authors":"Davide Mei, Simona Balestrini, Elena Parrini, Antonio Gambardella, Grazia Annesi, Valentina De Giorgis, Simone Gana, Maria Teresa Bassi, Claudio Zucca, Maurizio Elia, Luigi Vetri, Barbara Castellotti, Francesca Ragona, Mario Mastrangelo, Francesco Pisani, Giuseppe d'Orsi, Massimo Carella, Dario Pruna, Sabrina Giglio, Carla Marini, Elisabetta Cesaroni, Antonella Riva, Marcello Scala, Laura Licchetta, Raffaella Minardi, Ilaria Contaldo, Maria Luigia Gambardella, Alberto Cossu, Jacopo Proietti, Gaetano Cantalupo, Marina Trivisano, Angela De Dominicis, Nicola Specchio, Laura Tassi, Renzo Guerrini","doi":"10.1136/jmg-2024-110328","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We aimed to estimate real-world evidence of the prevalence rate of genetic developmental and epileptic encephalopathies (DEEs) in the Italian population over a 11-year period.</p><p><strong>Methods: </strong>Fifteen paediatric and adult tertiary Italian epilepsy centres participated in a survey related to 98 genes included in the molecular diagnostic workflows of most centres. We included patients with a clinical diagnosis of DEE, caused by a pathogenic or likely pathogenic variant in one of the selected genes, with a molecular diagnosis established between 2012 and 2022. These data were used as a proxy to estimate the prevalence rate of DEEs.</p><p><strong>Results: </strong>We included 1568 unique patients and found a mean incidence proportion of 2.6 patients for 100.000 inhabitants (SD=1.13) with consistent values across most Italian regions. The number of molecular diagnoses showed a continuing positive trend, resulting in more than a 10-fold increase between 2012 and 2022. The mean age at molecular diagnosis was 11.2 years (range 0-75). Pathogenic or likely pathogenic variants in genes with an autosomal dominant inheritance pattern occurred in 77% (n=1207) patients; 17% (n=271) in X-linked genes and 6% (n=90) in genes with autosomal recessive inheritance. The most frequently reported genes in the survey were <i>SCN1A</i> (16%), followed by <i>KCNQ2</i> (5.6%) and <i>SCN2A</i> (5%).</p><p><strong>Conclusion: </strong>Our study provides a large dataset of patients with monogenic DEE, from a European country. This is essential for informing decision-makers in drug development on the appropriateness of initiatives aimed at developing precision medicine therapies and is instrumental in implementing disease-specific registries and natural history studies.</p>","PeriodicalId":16237,"journal":{"name":"Journal of Medical Genetics","volume":" ","pages":"25-31"},"PeriodicalIF":3.5000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"National survey on the prevalence of single-gene aetiologies for genetic developmental and epileptic encephalopathies in Italy.\",\"authors\":\"Davide Mei, Simona Balestrini, Elena Parrini, Antonio Gambardella, Grazia Annesi, Valentina De Giorgis, Simone Gana, Maria Teresa Bassi, Claudio Zucca, Maurizio Elia, Luigi Vetri, Barbara Castellotti, Francesca Ragona, Mario Mastrangelo, Francesco Pisani, Giuseppe d'Orsi, Massimo Carella, Dario Pruna, Sabrina Giglio, Carla Marini, Elisabetta Cesaroni, Antonella Riva, Marcello Scala, Laura Licchetta, Raffaella Minardi, Ilaria Contaldo, Maria Luigia Gambardella, Alberto Cossu, Jacopo Proietti, Gaetano Cantalupo, Marina Trivisano, Angela De Dominicis, Nicola Specchio, Laura Tassi, Renzo Guerrini\",\"doi\":\"10.1136/jmg-2024-110328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>We aimed to estimate real-world evidence of the prevalence rate of genetic developmental and epileptic encephalopathies (DEEs) in the Italian population over a 11-year period.</p><p><strong>Methods: </strong>Fifteen paediatric and adult tertiary Italian epilepsy centres participated in a survey related to 98 genes included in the molecular diagnostic workflows of most centres. We included patients with a clinical diagnosis of DEE, caused by a pathogenic or likely pathogenic variant in one of the selected genes, with a molecular diagnosis established between 2012 and 2022. These data were used as a proxy to estimate the prevalence rate of DEEs.</p><p><strong>Results: </strong>We included 1568 unique patients and found a mean incidence proportion of 2.6 patients for 100.000 inhabitants (SD=1.13) with consistent values across most Italian regions. The number of molecular diagnoses showed a continuing positive trend, resulting in more than a 10-fold increase between 2012 and 2022. The mean age at molecular diagnosis was 11.2 years (range 0-75). Pathogenic or likely pathogenic variants in genes with an autosomal dominant inheritance pattern occurred in 77% (n=1207) patients; 17% (n=271) in X-linked genes and 6% (n=90) in genes with autosomal recessive inheritance. The most frequently reported genes in the survey were <i>SCN1A</i> (16%), followed by <i>KCNQ2</i> (5.6%) and <i>SCN2A</i> (5%).</p><p><strong>Conclusion: </strong>Our study provides a large dataset of patients with monogenic DEE, from a European country. This is essential for informing decision-makers in drug development on the appropriateness of initiatives aimed at developing precision medicine therapies and is instrumental in implementing disease-specific registries and natural history studies.</p>\",\"PeriodicalId\":16237,\"journal\":{\"name\":\"Journal of Medical Genetics\",\"volume\":\" \",\"pages\":\"25-31\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Genetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/jmg-2024-110328\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Genetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/jmg-2024-110328","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
National survey on the prevalence of single-gene aetiologies for genetic developmental and epileptic encephalopathies in Italy.
Background: We aimed to estimate real-world evidence of the prevalence rate of genetic developmental and epileptic encephalopathies (DEEs) in the Italian population over a 11-year period.
Methods: Fifteen paediatric and adult tertiary Italian epilepsy centres participated in a survey related to 98 genes included in the molecular diagnostic workflows of most centres. We included patients with a clinical diagnosis of DEE, caused by a pathogenic or likely pathogenic variant in one of the selected genes, with a molecular diagnosis established between 2012 and 2022. These data were used as a proxy to estimate the prevalence rate of DEEs.
Results: We included 1568 unique patients and found a mean incidence proportion of 2.6 patients for 100.000 inhabitants (SD=1.13) with consistent values across most Italian regions. The number of molecular diagnoses showed a continuing positive trend, resulting in more than a 10-fold increase between 2012 and 2022. The mean age at molecular diagnosis was 11.2 years (range 0-75). Pathogenic or likely pathogenic variants in genes with an autosomal dominant inheritance pattern occurred in 77% (n=1207) patients; 17% (n=271) in X-linked genes and 6% (n=90) in genes with autosomal recessive inheritance. The most frequently reported genes in the survey were SCN1A (16%), followed by KCNQ2 (5.6%) and SCN2A (5%).
Conclusion: Our study provides a large dataset of patients with monogenic DEE, from a European country. This is essential for informing decision-makers in drug development on the appropriateness of initiatives aimed at developing precision medicine therapies and is instrumental in implementing disease-specific registries and natural history studies.
期刊介绍:
Journal of Medical Genetics is a leading international peer-reviewed journal covering original research in human genetics, including reviews of and opinion on the latest developments. Articles cover the molecular basis of human disease including germline cancer genetics, clinical manifestations of genetic disorders, applications of molecular genetics to medical practice and the systematic evaluation of such applications worldwide.