Scientific Reports · 2018 · 22 citations · 28 references
Life SciencesGeneticsMolecular GeneticsGenomicsMedical GeneticsMolecular DiagnosticsDna SequencingGenetic DisordersMendelian DisordersMutation AnalysisSequencing-based DiagnosticsVariant DetectionClinical Genetic DiagnosisClinical Next-generation SequencingDeleterious Mutation LoadInherited Disease DiagnosisMolecular Genetic DiagnosisNext-generation Sequencing-based DiagnosisPathogenic Variant DetectionTargeted Next-generation Sequencing
With the development of next generation sequencing, more and more common inherited diseases have been reported. However, accurate and convenient molecular diagnosis cannot be achieved easily because of the enormous size of disease causing mutations. In this study, we introduced a new single-step method for the genetic analysis of patients and carriers in real clinical settings. All kinds of disease causing mutations can be detected at the same time in patients with Mendelian diseases or carriers. First, we evaluated this technology using YH cell line DNA and 9 samples with known mutations. Accuracy and stability of 99.80% and 99.58% were achieved respectively. Then, a total of 303 patients were tested using our targeted NGS approaches, 50.17% of which were found to have deleterious mutations and molecular confirmation of the clinical diagnosis. We identified 219 disease causing mutations, 43.84% (96/219) of which has never been reported before. Additionally, we developed a new deleteriousness prediction method for nonsynonymous SNVs, and an automating annotation and diagnosis system for Mendelian diseases, thus greatly assisting and enhancing Mendelian diseases diagnosis and helping to make a precise diagnosis for patients with Mendelian diseases.
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A general framework for estimating the relative pathogenicity of human genetic variants
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Predicting the Functional Effect of Amino Acid Substitutions and Indels
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Predicting Deleterious Amino Acid Substitutions
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