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Zhou Y, Xu W, Jiang Y, Xia Z, Zhang H, Chen X, Wang Z, Ge Y, Guo Q. Clinical Utility of a High-Resolution Melting Test for Screening Numerical Chromosomal Abnormalities in Recurrent Pregnancy Loss. J Mol Diagn 2020; 22:523-531. [PMID: 32279948 DOI: 10.1016/j.jmoldx.2020.01.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 12/10/2019] [Accepted: 01/12/2020] [Indexed: 11/29/2022] Open
Abstract
Recurrent pregnancy loss (RPL) occurs in approximately 5% of clinically identified pregnancies. Determining the cause of RPL is essential. Genetic testing, accompanied by an evidence-based workup, is the well-accepted process for evaluating RPL; however, current genetic tests have limitations in clinical practice. We, thus, developed a high-resolution melting analysis-based test (HRM test) to screen for the most common numerical chromosomal abnormalities present in the products of conception. We examined 765 products-of-conception samples with known karyotypes retrospectively using the HRM test, which showed high technical sensitivity (96.1%) and specificity (96.3%) as well as a high positive predictive value (95.9%) for the screening of chromosomal abnormalities. The cost-effectiveness of four RPL evaluation strategies that employ different genetic tests, karyotyping, chromosomal microarray/next-generation sequencing, the HRM test, and a combination of the HRM test and chromosomal microarray/next-generation sequencing, was then compared. The costs of diagnosing an explained RPL using karyotyping or the HRM test alone were similar. Performance of the HRM screening test before chromosomal microarray/next-generation sequencing analysis improved cost-effectiveness by approximately 30%. Cost-effectiveness was more prominent in the advanced maternal age group. Thus, the HRM test could be used as an initial screening tool, followed by other diagnostic methods to improve the cost-effectiveness of RPL evaluation, or as an alternative genetic test when other methods are unavailable or unaffordable.
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Affiliation(s)
- Yulin Zhou
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, People's Republic of China
| | - Wenyan Xu
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, People's Republic of China
| | - Yancheng Jiang
- Department of Clinical Laboratory, Quanzhou First Hospital affiliated with Fujian Medical University, Quanzhou, People's Republic of China
| | - Zhongmin Xia
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, People's Republic of China
| | - Haixia Zhang
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, People's Republic of China
| | - Xiaolu Chen
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, People's Republic of China
| | - Zengge Wang
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, People's Republic of China
| | - Yunsheng Ge
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, People's Republic of China
| | - Qiwei Guo
- United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine & School of Public Health, Xiamen University, Xiamen, People's Republic of China.
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Wang C, Liu Y, Cai F, Zhang X, Xu X, Li Y, Zou Q, Zheng J, Zhang Y, Guo W, Cai C, Shu J. Rapid screening of MMACHC gene mutations by high-resolution melting curve analysis. Mol Genet Genomic Med 2020; 8:e1221. [PMID: 32198913 PMCID: PMC7284048 DOI: 10.1002/mgg3.1221] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Revised: 02/07/2020] [Accepted: 02/24/2020] [Indexed: 12/23/2022] Open
Abstract
Background Cobalamin (cbl) C is a treatable rare hereditary disorder of cbl metabolism with autosomal recessive inheritance. It is the most common organic acidemia, manifested as methylmalonic academia combined with homocysteinemia. Early screening and diagnosis are important. The mutation spectrum of the MMACHC gene causing cblC varies among populations. The mutation spectrum in Chinese population is notably different from that in other populations. Methods A PCR followed by high‐resolution melting curve analysis (PCR‐HRM) method covering all coding exons of MMACHC gene was designed to verify 14 pathogenic MMACHC gene variants found in patients with cblC, including all common mutations in Chinese patients with cblC. Result By PCR‐HRM analysis, 14 pathogenic variants of MMACHC showed distinctly different melting curves, which were consistent with Sanger sequencing. The homozygous type of the most common mutation c.609G > A (p.Trp203Ter) can also be analyzed by specially designed PCR‐HRM. Conclusion The established PCR‐HRM method for screening common pathogenic MMACHC variants in Chinese patients with cblC has the advantages of high accuracy, high throughput, low cost, and high speed. It is suitable for the large‐sample screening of suspected children with methylmalonic acidemia and carriers in population.
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Affiliation(s)
- Chao Wang
- Tianjin Pediatric Research InstituteTianjin Children’s HospitalTianjinChina
- Tianjin Key Laboratory of Prevention and Treatment of Birth DefectsTianjinChina
| | - Yang Liu
- Department of NeonatalogyTianjin Children’s HospitalThe Pediatric Clinical College in Tianjin Medical UniversityTianjinChina
| | - Fengying Cai
- Department of PhysiologyTianjin Medical CollegeTianjinChina
| | - Xinjie Zhang
- Tianjin Pediatric Research InstituteTianjin Children’s HospitalTianjinChina
- Tianjin Key Laboratory of Prevention and Treatment of Birth DefectsTianjinChina
| | - Xiaowei Xu
- Tianjin Pediatric Research InstituteTianjin Children’s HospitalTianjinChina
- Tianjin Key Laboratory of Prevention and Treatment of Birth DefectsTianjinChina
| | - Yani Li
- Department of Internal MedicineQuyang County People's HospitalBaodingChina
| | - Qianqian Zou
- Department of NeurosurgeryTianjin Children’s HospitalTianjinChina
| | - Jie Zheng
- Department of NeurosurgeryTianjin Children’s HospitalTianjinChina
| | - Yuqin Zhang
- Department of NeurologyTianjin Children’s HospitalTianjinChina
| | - Wei Guo
- Department of RespirationTianjin Children’s HospitalTianjinChina
| | - Chunquan Cai
- Department of NeurosurgeryTianjin Children’s HospitalTianjinChina
| | - Jianbo Shu
- Tianjin Pediatric Research InstituteTianjin Children’s HospitalTianjinChina
- Tianjin Key Laboratory of Prevention and Treatment of Birth DefectsTianjinChina
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