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Weng B, Xu YL, Ying J, Yang HK, Su L, Yang YM, Chen M. A novel use for Levey-Jennings charts in prenatal molecular diagnosis. BMC Med Genomics 2020; 13:109. [PMID: 32736662 PMCID: PMC7395379 DOI: 10.1186/s12920-020-00758-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 07/23/2020] [Indexed: 11/29/2022] Open
Abstract
Background The goal of this study was to determine whether Levey-Jennings charts, which are widely used in clinical laboratories, can be used to create standardized internal quality controls (IQCs) for prenatal molecular diagnosis. Methods Aneuploid amniocyte lines with trisomy 13, 21, and 18, and 47,XXY were established by transfection with SV40LTag-pcDNA3.1(−)and combined at different ratios to generate aneuploidy chimeric quality-control cell mixtures A to H. These quality-control cells were then used to calculate the \documentclass[12pt]{minimal}
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\begin{document}$$ \overline{\mathrm{X}} $$\end{document}X¯ ±3 SD values to develop standardized IQCs for methods used for the prenatal diagnosis of aneuploidies such as FISH. Results Methods for constructing aneuploid amniocyte lines were developed and a set of quality-control cells (A-H) were prepared. The \documentclass[12pt]{minimal}
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\begin{document}$$ \overline{\mathrm{X}} $$\end{document}X¯ ±3 SD values of these quality-control cells for trisomy 13 and 21 were 10.2 ± 1.7, 10.2 ± 3.4, and 10.2 ± 5.1, and 90.3 ± 2.3, 90.3 ± 4.6, and 90.3 ± 6.9, respectively. Based on the values and Levey-Jennings charts, a set of standardized IQCs for prenatal diagnosis such as FISH were established. Conclusions This method resolves the problems of a shortage of quality-control materials and a lack of quality-control charts in prenatal molecular diagnosis such as NIPT, NGS, aCGH/SNP, PCR, and FISH. Levey-Jennings chart-based IQCs for prenatal diagnosis such as FISH can be used to easily monitor whether IQC results are within acceptable limits, and then infer whether the diagnostic results for clinical samples are reliable. We expect that this standardized IQC will be useful for a wide range of molecular diagnostic laboratories.
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Affiliation(s)
- Binghuan Weng
- The Key Laboratory of Reproductive Genetics, Department of Obstetrics and Gynecology, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310006, Zhejiang, China.
| | - Ya-Li Xu
- Department of Clinical Laboratory Research, Shulan Hospital, Zhejiang University, 848 Dongxin Road, Hangzhou, 310006, Zhejiang, China
| | - Jun Ying
- Department of Clinical Laboratory Research, Shulan Hospital, Zhejiang University, 848 Dongxin Road, Hangzhou, 310006, Zhejiang, China
| | - Hao-Kun Yang
- The Key Laboratory of Reproductive Genetics, Department of Obstetrics and Gynecology, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310006, Zhejiang, China
| | - Lan Su
- The Key Laboratory of Reproductive Genetics, Department of Obstetrics and Gynecology, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310006, Zhejiang, China
| | - Yan-Mei Yang
- The Key Laboratory of Reproductive Genetics, Department of Obstetrics and Gynecology, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310006, Zhejiang, China
| | - Min Chen
- The Key Laboratory of Reproductive Genetics, Department of Obstetrics and Gynecology, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310006, Zhejiang, China
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Abstract
Chromosome analysis is one of the first approaches to genetic testing and remains a key component of genetic analysis of constitutional and somatic genetic disorders. Numerical or unbalanced structural chromosome abnormalities usually lead to multiple congenital anomalies. Sometimes these are compatible with live birth, usually resulting in severe cognitive and physical handicaps; other times they result in miscarriage or stillbirth. Chromosome rearrangements also occur as somatic changes in malignancies. Identification of constitutional chromosomal anomalies (anomalies present in most or all cells of the body and/or the germline) can provide important information for genetic counseling. In this unit, we introduce chromosomal microarray analysis (CMA), which is a relatively recent addition to cytogenetic technologies, and has become the recommended first-tier testing method for patients with developmental delay, intellectual disability, autism, and/or multiple congenital anomalies. We also discuss non-invasive prenatal testing/screening (NIPTS), which uses circulating cell-free fetal DNA (cfDNA) from maternal plasma to rapidly screen for autosomal and sex-chromosome aneuploidies. Cytogenetic analysis of tumors is helpful in diagnosis and in monitoring the effects of treatment. The protocols in this chapter cover the clinical study of chromosomes in nonmalignant tissues.
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Affiliation(s)
- Patrick R Gonzales
- Cytogenetics Laboratory, Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Andrew J Carroll
- Cytogenetics Laboratory, Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Bruce R Korf
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama
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