Genetic analysis of inherited bone marrow failure syndromes from one prospective, comprehensive and population-based cohort and identification of novel mutations. Issue 9 (9th June 2011)

• Record Type: Journal Article
• Authors: Tsangaris, E; Klaassen, R; Fernandez, C V; Yanofsky, R; Shereck, E; Champagne, J; Silva, M; Lipton, J H; Brossard, J; Michon, B; Abish, S; Steele, M; Ali, K; Dower, N; Athale, U; Jardine, L; Hand, J P; Odame, I; Canning, P; Allen, C; Carcao, M; Beyene, J; Roifman, C M; Dror, Y
• Is Part Of: Journal of medical genetics. Volume 48:Issue 9(2011)
• Page Start: 618
• Page End: 628
• Publication Date: 2011-06-09
• Subjects: Inherited bone marrow failure syndromes -- genetic -- genes -- mutations -- aplastic anaemia -- leukaemia -- myelodysplastic syndrome -- clinical genetics -- genetic screening/counselling -- haematology (incl blood transfusion); Medical genetics -- Periodicals; 616.042
• DOI: 10.1136/jmg.2011.089821
• Languages: English
• ISSNs: 1468-6244

Abstract

Abstract : Introduction: Inherited bone marrow failure syndromes (IBMFSs) often have substantial phenotypic overlap, thus genotyping is often critical for establishing a diagnosis. Objectives and methods: To determine the genetic characteristics and mutation profiles of IBMFSs, a comprehensive population-based study that prospectively enrols all typical and atypical cases without bias is required. The Canadian Inherited Marrow Failure Study is such a study, and was used to extract clinical and genetic information for patients enrolled up to May 2010. Results: Among the 259 primary patients with IBMFS enrolled in the study, the most prevalent categories were Diamond–Blackfan anaemia (44 patients), Fanconi anaemia (39) and Shwachman–Diamond syndrome (35). The estimated incidence of the primary IBMFSs was 64.5 per 10 6 births, with Fanconi anaemia having the highest incidence (11.4 cases per 10 6 births). A large number of patients (70) had haematological and non-haematological features that did not fulfil the diagnostic criteria of any specific IBMFS category. Disease-causing mutations were identified in 53.5% of the 142 patients tested, and in 16 different genes. Ten novel mutations in SBDS, RPL5, FANCA, FANCG, MPL and G6PT were identified. The most common mutations were nonsense (31 alleles) and splice site (28). Genetic heterogeneity of most IBMFSs was evident; however, the most commonly mutated gene was SBDS, followed by FANCA and RPS19 . Conclusion: From this the largest published comprehensive cohort of IBMFSs, it can be concluded that recent advances have led to successful genotyping of about half of the patients. Establishing a genetic diagnosis is still challenging and there is a critical need to develop novel diagnostic tools.