Home LiteratureArticle Details
PMID: 29935118 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Interfering effect of maternal cell contamination on invasive prenatal molecular genetic testing.

Prenatal diagnosis ·Vol. 38 ·No. 9 ·2018-00-00 ·页码 713-719

Koczok K, Gombos É, Madar L, Török O, Balogh I

Abstract

Fetal samples obtained by invasive techniques are prone to maternal cell contamination (MCC), which may lead to false genotyping results. Our aim was to determine 3 molecular genetic tests' sensitivity to MCC. By mixing experiments, 1%, 5%, 10%, 20%, 30%, and 40% MCC was simulated, and significant MCC levels were determined for Sanger DNA sequencing, multiplex ligation-dependent probe amplification (MLPA), and pyrosequencing, a next-generation sequencing method. For Sanger sequencing, the limit of sensitivity to MCC was 5% to 30%. For MLPA, a higher proportion of MCC (≥40%) was shown to lead to diagnostic uncertainty. In contrast, pyrosequencing proved to be very sensitive to MCC, detecting a proportion as low as 1%. In the case of Sanger sequencing, sensitivity to MCC was variable, while for MLPA, only high levels of MCC proved to be significant. Although the next-generation sequencing method was sensitive to low-level MCC, if MCC level is determined in parallel, accurate quantification of allelic ratios can help to interpret the diagnostic results. Knowledge of significant MCC levels allows correct prenatal diagnosis even if samples are not purely of fetal origin and repeated sampling can be avoided in many of the cases.

MeSH 主题词
DNA Contamination Diagnostic Errors/prevention & control Female Fetus/cytology Genetic Testing/methods High-Throughput Nucleotide Sequencing Humans Nucleic Acid Amplification Techniques Pregnancy Prenatal Diagnosis/methods Sensitivity and Specificity Sequence Analysis, DNA/methods
作者与单位
共 5 位作者,点击展开单位 / ORCID
Koczok Katalin
Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Gombos Éva
Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Madar László
Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Török Olga
Department of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Balogh István ORCID
Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Article Info
Journal
Prenatal diagnosis
Abbr.
Prenat Diagn
ISSN
1097-0223
Published
2018-00-00
电子出版
2018-00-11
页码
713-719
Language
English
Country/Region
England
NLM ID
8106540
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com