Literature DB >> 26136524

Improving diagnostic precision, care and syndrome definitions using comprehensive next-generation sequencing for the inherited bone marrow failure syndromes.

Ibrahim Ghemlas1, Hongbing Li2, Bozana Zlateska2, Robert Klaassen3, Conrad V Fernandez4, Rochelle A Yanofsky5, John Wu6, Yves Pastore7, Mariana Silva8, Jeff H Lipton9, Josee Brossard10, Bruno Michon11, Sharon Abish12, MacGregor Steele13, Roona Sinha14, Mark Belletrutti15, Vicky R Breakey16, Lawrence Jardine17, Lisa Goodyear18, Lillian Sung19, Santhosh Dhanraj20, Emma Reble2, Amanda Wagner21, Joseph Beyene22, Peter Ray23, Stephen Meyn2, Michaela Cada21, Yigal Dror24.   

Abstract

BACKGROUND: Phenotypic overlap among the inherited bone marrow failure syndromes (IBMFSs) frequently limits the ability to establish a diagnosis based solely on clinical features. >70 IBMFS genes have been identified, which often renders genetic testing prolonged and costly. Since correct diagnosis, treatment and cancer surveillance often depend on identifying the mutated gene, strategies that enable timely genotyping are essential.
METHODS: To overcome these challenges, we developed a next-generation sequencing assay to analyse a panel of 72 known IBMFS genes. Cases fulfilling the clinical diagnostic criteria of an IBMFS but without identified causal genotypes were included.
RESULTS: The assay was validated by detecting 52 variants previously found by Sanger sequencing. A total of 158 patients with unknown mutations were studied. Of 75 patients with known IBMFS categories (eg, Fanconi anaemia), 59% had causal mutations. Among 83 patients with unclassified IBMFSs, we found causal mutations and established the diagnosis in 18% of the patients. The assay detected mutant genes that had not previously been reported to be associated with the patient phenotypes. In other cases, the assay led to amendments of diagnoses. In 20% of genotype cases, the results indicated a cancer surveillance programme.
CONCLUSIONS: The novel assay is efficient, accurate and has a major impact on patient care. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Clinical genetics; Diagnostics tests; Haematology (incl Blood transfusion); Other oncology

Mesh:

Year:  2015        PMID: 26136524     DOI: 10.1136/jmedgenet-2015-103270

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  33 in total

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