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Effect quantification and value prediction of factors in noninvasive detection for specific fetal copy number variants by semiconductor sequencing.
Zhang, Chunhua; Liang, Bo; Qiao, Longwei; Xuan, Liming; Li, Hong; He, Quanze; Wu, Xiaojuan; Lu, Jiafeng; Yu, Bin; Wang, Ting.
Afiliação
  • Zhang C; The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
  • Liang B; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
  • Qiao L; The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
  • Xuan L; Basecare Medical Device Co., Ltd, Suzhou, China.
  • Li H; The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
  • He Q; The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
  • Wu X; The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
  • Lu J; The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
  • Yu B; Changzhou Women and Children Health Hospital affiliated to Nanjing Medical University, Changzhou, China.
  • Wang T; The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Mol Genet Genomic Med ; 7(7): e00718, 2019 07.
Article em En | MEDLINE | ID: mdl-31115175
BACKGROUND: The detection limit of noninvasive prenatal testing (NIPT) by next generation sequencing for any given fetal copy number variants (CNV) can be influenced by several factors. In this study, we quantified the effects and predicted the value of parameters for CNVs detection by NIPT. METHODS: Genomic DNA from patient's leucocytes with 3.16 Mb microdeletion in 22q11.21 was mixed with DNA from aborted fetal tissues without CNV at various concentrations by an enzyme digestion method. Abnormal DNA at 0% served as negative control. Sequencing of mixture samples (at 0%, 4%, 12%, and 20%) by Ion Proton Sequencer was performed at flow 500, with WISECONDOR as the pipeline in CNV-calling and bin of 500, 750 and 1,000 kb for counting unique reads. The parameters were evaluated with Box-Behnken design. The region with Z score ≦-3 was marked as a potential microdeletion. RESULTS: The equation of Z score depending on fetal fraction, unique read number and bin size was obtained by Box-Behnken design. The negative effect was quantified as the coefficient in the equation. The smallest values of these parameters were defined as 4 M unique read number, and 10.08% fetal DNA concentration at bin of 750 kb for detecting subchromosomal microdeletion of 3.16 Mb. CONCLUSION: The quantification of effect and value of parameters as well as the method used in this study can benefit the establishment of quality standards for CNVs detection and interpretation of CNVs detection results.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de DNA / Variações do Número de Cópias de DNA Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Mol Genet Genomic Med Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de DNA / Variações do Número de Cópias de DNA Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Mol Genet Genomic Med Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos