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1.
Clin Chem ; 63(2): 503-512, 2017 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-27974384

RESUMO

BACKGROUND: Despite advances in next generation DNA sequencing (NGS), NGS-based single gene tests for diagnostic purposes require improvements in terms of completeness, quality, speed, and cost. Single-molecule molecular inversion probes (smMIPs) are a technology with unrealized potential in the area of clinical genetic testing. In this proof-of-concept study, we selected 2 frequently requested gene tests, those for the breast cancer genes BRCA1 and BRCA2, and developed an automated work flow based on smMIPs. METHODS: The BRCA1 and BRCA2 smMIPs were validated using 166 human genomic DNA samples with known variant status. A generic automated work flow was built to perform smMIP-based enrichment and sequencing for BRCA1, BRCA2, and the checkpoint kinase 2 (CHEK2) c.1100del variant. RESULTS: Pathogenic and benign variants were analyzed in a subset of 152 previously BRCA-genotyped samples, yielding an analytical sensitivity and specificity of 100%. Following automation, blind analysis of 65 in-house samples and 267 Norwegian samples correctly identified all true-positive variants (>3000), with no false positives. Consequent to process optimization, turnaround times were reduced by 60% to currently 10-15 days. Copy number variants were detected with an analytical sensitivity of 100% and an analytical specificity of 88%. CONCLUSIONS: smMIP-based genetic testing enables automated and reliable analysis of the coding sequences of BRCA1 and BRCA2. The use of single-molecule tags, double-tiled targeted enrichment, and capturing and sequencing in duplo, in combination with automated library preparation and data analysis, results in a robust process and reduces routine turnaround times. Furthermore, smMIP-based copy number variation analysis could make independent copy number variation tools like multiplex ligation-dependent probes amplification dispensable.


Assuntos
Proteína BRCA1/genética , Proteína BRCA2/genética , Variações do Número de Cópias de DNA/genética , Sondas de DNA/genética , Sequenciamento de Nucleotídeos em Larga Escala , Humanos
2.
Clin Chem ; 61(1): 154-62, 2015 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-25274553

RESUMO

BACKGROUND: Dideoxy-based chain termination sequencing developed by Sanger is the gold standard sequencing approach and allows clinical diagnostics of disorders with relatively low genetic heterogeneity. Recently, new next generation sequencing (NGS) technologies have found their way into diagnostic laboratories, enabling the sequencing of large targeted gene panels or exomes. The development of benchtop NGS instruments now allows the analysis of single genes or small gene panels, making these platforms increasingly competitive with Sanger sequencing. METHODS: We developed a generic automated ion semiconductor sequencing work flow that can be used in a clinical setting and can serve as a substitute for Sanger sequencing. Standard amplicon-based enrichment remained identical to PCR for Sanger sequencing. A novel postenrichment pooling strategy was developed, limiting the number of library preparations and reducing sequencing costs up to 70% compared to Sanger sequencing. RESULTS: A total of 1224 known pathogenic variants were analyzed, yielding an analytical sensitivity of 99.92% and specificity of 99.99%. In a second experiment, a total of 100 patient-derived DNA samples were analyzed using a blind analysis. The results showed an analytical sensitivity of 99.60% and specificity of 99.98%, comparable to Sanger sequencing. CONCLUSIONS: Ion semiconductor sequencing can be a first choice mutation scanning technique, independent of the genes analyzed.


Assuntos
DNA/análise , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Técnicas de Diagnóstico Molecular/métodos , Análise de Sequência de DNA/métodos , DNA/genética , Análise Mutacional de DNA , Sequenciamento de Nucleotídeos em Larga Escala/instrumentação , Humanos , Técnicas de Diagnóstico Molecular/instrumentação , Reação em Cadeia da Polimerase , Reprodutibilidade dos Testes , Robótica , Semicondutores , Sensibilidade e Especificidade , Análise de Sequência de DNA/instrumentação
3.
Am J Med Genet A ; 134A(2): 165-70, 2005 Apr 15.
Artigo em Inglês | MEDLINE | ID: mdl-15723289

RESUMO

Noonan syndrome (NS) is an autosomal dominant disorder, characterized by short stature, minor facial anomalies, and congenital heart defects. In approximately 50% of cases the condition is caused by missense mutations in the PTPN11 gene on chromosome 12, resulting in a gain of function of the protein SHP-2. In this study, PTPN11 mutation analysis was performed in 170 NS patients. In 76 (45%) of them a mutation was identified. We report on the distribution of these mutations, as well as on genotype-phenotype relationships. The benefit of the NS scoring system developed by van der Burgt et al. [(1994); Am J Med Genet 53:187-191] is shown, among physicians who consequently based their diagnosis on the NS scoring system the percentage mutation positive subjects was 54%, whereas this percentage was only 39% among physicians who made less use of the scoring system. In two patients with some uncommon manifestations mutations were found in the C-SH2 domain, a region in which defects are not often identified in NS. A trend was observed in patients carrying the 922A --> G change (Asn308Asp) receiving normal education. In one patient with NS and mild juvenile myelomonocytic leukemia (JMML) the mutation 218C --> T (Thr73Ile) was found. This confirms previous findings indicating that individuals with NS with specific mutations in PTPN11 are at risk of developing JMML.


Assuntos
Mutação , Síndrome de Noonan/genética , Proteínas Tirosina Fosfatases/genética , Adulto , Criança , Feminino , Frequência do Gene , Genótipo , Humanos , Peptídeos e Proteínas de Sinalização Intracelular , Masculino , Síndrome de Noonan/patologia , Fenótipo , Proteína Tirosina Fosfatase não Receptora Tipo 11 , Literatura de Revisão como Assunto , Proteínas Tirosina Fosfatases Contendo o Domínio SH2 , Domínios de Homologia de src/genética
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