BACKGROUND: The high mutational heterogeneity of hemophilia A is a challenge for the provision of genetic services. We plan to identify the mutation in patients with hemophilia A in order to create a confidential national database of mutations for the optimization of genetic services in Italy. DESIGN AND METHODS: The factor VIII gene (F8) was analyzed in 1296 unrelated patients with hemophilia A using screening methods for intron 22 and 1 inversions and rare mutations (denaturing high performance liquid chromatography, conformation sensitive gel electrophoresis) and/or direct sequencing. RESULTS: F8 mutations were identified in 874 (89%), 146 (89%), and 133 (94%) families with severe, moderate, or mild hemophilia A, respectively. Mutations predicting a null allele were responsible for 80%, 15%, and less than 1% of cases of severe, moderate, or mild hemophilia A, respectively. About 40% of missense and nonsense mutations occurred at a CpG site, arginines being most frequently affected. Of the small deletions or insertions, 29% occurred at one of two stretches of adenines, codons 1191-1194 (8As) and 1439-1441 (9As). Overall, these "hotspots" accounted for 31% of the point mutations in the patients with hemophilia A. Inhibitors developed in 22% of the patients with severe hemophilia A, 8% of those with moderate disease and in 4% of patients with mild hemophilia A. Patients who had severe hemophilia A and mutations predicting a null allele developed inhibitors more frequently (22 to 67%) than patients with missense mutations (5%). CONCLUSIONS: We report a wide spectrum of mutations in a large national database. The type of mutation was a strong predictor of the clinical phenotype. This database is expected to considerably improve the genetic counselling and medical care of families with hemophilia A in Italy.
BACKGROUND: The high mutational heterogeneity of hemophilia A is a challenge for the provision of genetic services. We plan to identify the mutation in patients with hemophilia A in order to create a confidential national database of mutations for the optimization of genetic services in Italy. DESIGN AND METHODS: The factor VIII gene (F8) was analyzed in 1296 unrelated patients with hemophilia A using screening methods for intron 22 and 1 inversions and rare mutations (denaturing high performance liquid chromatography, conformation sensitive gel electrophoresis) and/or direct sequencing. RESULTS: F8 mutations were identified in 874 (89%), 146 (89%), and 133 (94%) families with severe, moderate, or mild hemophilia A, respectively. Mutations predicting a null allele were responsible for 80%, 15%, and less than 1% of cases of severe, moderate, or mild hemophilia A, respectively. About 40% of missense and nonsense mutations occurred at a CpG site, arginines being most frequently affected. Of the small deletions or insertions, 29% occurred at one of two stretches of adenines, codons 1191-1194 (8As) and 1439-1441 (9As). Overall, these "hotspots" accounted for 31% of the point mutations in the patients with hemophilia A. Inhibitors developed in 22% of the patients with severe hemophilia A, 8% of those with moderate disease and in 4% of patients with mild hemophilia A. Patients who had severe hemophilia A and mutations predicting a null allele developed inhibitors more frequently (22 to 67%) than patients with missense mutations (5%). CONCLUSIONS: We report a wide spectrum of mutations in a large national database. The type of mutation was a strong predictor of the clinical phenotype. This database is expected to considerably improve the genetic counselling and medical care of families with hemophilia A in Italy.
Authors: Ángel Bernardo; Alberto Caro; Daniel Martínez-Carballeira; José Ramón Corte; Sonia Vázquez; Carmen Palomo-Antequera; Alfredo Andreu; Álvaro Fernández-Pardo; Julia Oto; Laura Gutiérrez; Inmaculada Soto; Pilar Medina Journal: J Clin Med Date: 2022-06-10 Impact factor: 4.964
Authors: Johnny Mahlangu; Jerry S Powell; Margaret V Ragni; Pratima Chowdary; Neil C Josephson; Ingrid Pabinger; Hideji Hanabusa; Naresh Gupta; Roshni Kulkarni; Patrick Fogarty; David Perry; Amy Shapiro; K John Pasi; Shashikant Apte; Ivan Nestorov; Haiyan Jiang; Shuanglian Li; Srividya Neelakantan; Lynda M Cristiano; Jaya Goyal; Jurg M Sommer; Jennifer A Dumont; Nigel Dodd; Karen Nugent; Gloria Vigliani; Alvin Luk; Aoife Brennan; Glenn F Pierce Journal: Blood Date: 2013-11-13 Impact factor: 22.113