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EMQN and EQA in molecular genetic testing - ERNDIM PDF

43 Pages·2009·1.54 MB·English
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Preview EMQN and EQA in molecular genetic testing - ERNDIM

Quality in the World of Molecular Genetics David Barton, EMQN National Centre for Medical Genetics Dublin, Ireland Quality Assured Genetic Testing Best Education Best Education Practice and Practice and Guidelines Training Guidelines Training EQA EQA Quality Quality Test Test Assurance Assurance Validation Validation IQA IQA Reference Reference Accreditation Accreditation Materials Materials Consistently high standard of laboratory output Molecular Genetics Testing • Mostly yes / no answers • TAT 3 to 40 days • Scientists give the clinical interpretation of results • Permanent medical record Current Molecular Genetics Testing Mendelian disorders • Cancer • Neurological disorders • Developmental delay • Dysmorphology • Etc. Chromosomal imbalance Molecular pathology Non-invasive KRAS, GIST prenatal diagnosis Future directions Free fetal DNA analysis Next generation sequencing multi-gene disorders Pharmacogenetics Education Education Best Practice Guidelines Best Practice Guidelines and and Training Training EQA EQA Quality Quality Test Test Assurance Assurance Validation Validation IQA IQA Reference Reference Accreditation Accreditation Materials Materials Consistently high standard of laboratory output Best practice • Sequencing • Single nucleotide polymorphisms • Unclassified variants – pathogenic or not? Best practice • Sequencing – Uni – or bi-directional? – Genotyping • Confirmation or exclusion of known sequence variant – Mutation scanning • Full characterisation of a region of DNA http://www.cmgs.org/BPGs/Best_Practice_Guidelines.htm Best practice • Sequencing – Quality parameters not standardized – Negative results http://www.cmgs.org/BPGs/Best_Practice_Guidelines.htm Best practice SNP check Case: – HNPCC family – Father affected – known mutation – Test result was negative for the son – Need to check if there are any known SNPs under primer binding sites - SNPcheck

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Bioinformatics tools. – Training/experience/caution required. – Very time- consuming. • Novel approaches. – Alamut. – Bayesian Classification (Tavtigian, BRCA)
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