New test may help more couples understand why they experience multiple miscarriages

The test identifies most common chromosomal abnormalities when used alone or in combination with other methods and offers better value, reports The Journal of Molecular Diagnostics

Philadelphia, April 9, 2020

Approximately five percent of women experience two or more miscarriages, a condition known as recurrent pregnancy loss (RPL). Although genetic testing is important for evaluating RPL, current tests have revealed shortcomings in clinical practice. A report in The Journal of Molecular Diagnostics, published by Elsevier, describes a new high-resolution melting analysis–based test (HRM) that is accurate, rapid, cheap and easy to perform. When used prior to other tests, it improved cost-effectiveness by 30 percent, an important consideration in areas with limited healthcare resources.

“We speculated that the cost of genetic tests such as chromosomal microarray (CMA) or next-generation sequencing (NGS) will remain high enough to hinder their acceptance as affordable detection methods for RPL evaluation in underdeveloped regions,” explained lead investigator Prof. Qiwei Guo, United Diagnostic and Research Center for Clinical Genetics, Women and Children’s Hospital, School of Medicine and School of Public Health at Xiamen University, Xiamen, China. “Inspired by the success of prenatal screening and diagnosis for Down syndrome, we hypothesized that a well-accepted screening method like HRM combined with a diagnostic method (CMA or NGS) would advance the clinical practice of genetic testing for products of conception (POCs).”

The use of genetic tests for POCs has been limited in underdeveloped regions with large populations due to low test capacity and high cost. Prof. Guo and his co-investigators observed that although most patients with RPL wanted genetic testing, less than five percent had the testing performed, primarily because the cost (about USD $440) was prohibitive.

HRM is recognized as one of the best screening methods for detecting point mutations and aneuploidy (the presence of an abnormal number of chromosomes in a cell, for example a human cell having 45 or 47 chromosomes instead of the usual 46) for other medical conditions.

Investigators examined 765 miscarriage tissue samples that had undergone karyotyping, the conventional gold standard genetic test for RPL evaluation. Karyotyping shows the number, size, and appearance of the chromosomes, but the process can be labor intensive, time consuming and susceptible to human error.

Of those 765 samples, approximately 60 percent showed the presence of numerical chromosomal abnormalities (NCAs). Almost two thirds of those with NCAs had the type of abnormalities that could be detected with HRM testing. Samples analyzed with HRM showed a high technical sensitivity (96.1 percent) and specificity (96.3 percent) as well as a high positive predictive value (95.9 percent) for the screening of chromosomal abnormalities.

A: Design of a high-resolution melting test (HRM). The black line denotes the melting profile of the reference sample. Other colors were used to differentiate melting profiles among reference intervals without specific meaning. B: The proposed use of the HRM test in clinical recurrent pregnancy loss evaluation.

Results determined that the costs of diagnosing an explained RPL using karyotyping or the HRM test alone were similar. Performing HRM screening before CMA/NGS testing, however, improved cost-effectiveness by approximately 30 percent. The data also suggested that the test was even more cost effective in women 35 years or older because of increased screening sensitivity.

“We suggest that 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,” stated Prof. Guo. He added that another advantage of HRM testing is its high capacity, which is especially important in underdeveloped countries with large populations.

“We believe that identifying the causes of miscarriages not only assists clinicians in genetic counseling and therapeutic management, but also reduces the emotional distress and psychological burden on affected couples,” noted Prof. Guo.


Notes for editors
The article is “Clinical Utility of a High-Resolution Melting Test for Screening Numerical Chromosomal Abnormalities in Recurrent Pregnancy Loss,” by Yulin Zhou, Wenyan Xu, Yancheng Jiang, Zhongmin Xia, Haixia Zhang, Xiaolu Chen, Zengge Wang, Yunsheng Ge, and Qiwei Guo  ( It appears in The Journal of Molecular Diagnostics, volume 22, issue 4 (April 2020) published by Elsevier.

Full text of this study is available to credentialed journalists upon request; contact Eileen Leahy at +1 732 238 3628 or Journalists wishing to interview the authors should contact Qiwei Guo at

This study was supported by the National Natural Science Foundation of China (81572084), the Xiamen Science and Technology Major Project (3502Z20171006), and the Natural Science Foundation for Distinguished Young Scholars of Fujian Province (2015D012).

About The Journal of Molecular Diagnostics
The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology, co-owned by the American Society for Investigative Pathology, and published by Elsevier, seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome review articles that contain: novel discoveries or clinicopathologic correlations, including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods for diagnosis or monitoring of disease or disease predisposition.

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