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Demko Z, Prigmore B, Benn P. A Critical Evaluation of Validation and Clinical Experience Studies in Non-Invasive Prenatal Testing for Trisomies 21, 18, and 13 and Monosomy X. J Clin Med 2022; 11:jcm11164760. [PMID: 36012999 PMCID: PMC9410356 DOI: 10.3390/jcm11164760] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/28/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022] Open
Abstract
Non-invasive prenatal testing (NIPT) for trisomies 21, 18, 13 and monosomy X is widely utilized with massively parallel shotgun sequencing (MPSS), digital analysis of selected regions (DANSR), and single nucleotide polymorphism (SNP) analyses being the most widely reported methods. We searched the literature to find all NIPT clinical validation and clinical experience studies between January 2011 and January 2022. Meta-analyses were performed using bivariate random-effects and univariate regression models for estimating summary performance measures across studies. Bivariate meta-regression was performed to explore the influence of testing method and study design. Subgroup and sensitivity analyses evaluated factors that may have led to heterogeneity. Based on 55 validation studies, the detection rate (DR) was significantly higher for retrospective studies, while the false positive rate (FPR) was significantly lower for prospective studies. Comparing the performance of NIPT methods for trisomies 21, 18, and 13 combined, the SNP method had a higher DR and lower FPR than other methods, significantly so for MPSS, though not for DANSR. The performance of the different methods in the 84 clinical experience studies was consistent with validation studies. Clinical positive predictive values of all NIPT methods improved over the last decade. We conclude that all NIPT methods are highly effective for fetal aneuploidy screening, with performance differences across methodologies.
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Affiliation(s)
| | | | - Peter Benn
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT 06030, USA
- Correspondence:
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Li X, Wang L, Yao Z, Ruan F, Hu Z, Song W. Clinical evaluation of non-invasive prenatal screening in 32,394 pregnancies from Changzhi Maternal and Child Health Care Hospital of Shanxi China. J Med Biochem 2021; 41:341-346. [PMID: 36042897 PMCID: PMC9375529 DOI: 10.5937/jomb0-33513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 11/01/2021] [Indexed: 11/02/2022] Open
Abstract
Non-invasive prenatal screening (NIPS)was performed in 32,394 pregnancies, out of which results were available in 32,361 (99.9%) of them.Among the 32,361confirmed samples, 164 cases had positive results and 32197 cases had negative results. Of these positive cases, 116 cases were trisomy 21, 34 cases were trisomy 18 and 14 cases were trisomy 13. No false negative results were found in this cohort. The overall sensitivity and specificity were 100% and 99.91%, respectively. There was no significant difference in test performance between the 7,316 high-risk and 25,045 low-risk pregnancies,(sensitivity, 100% vs 100% (P >0.05); specificity, 99.96% vs 99.95% (P > 0.05)). Factors contributing to false-positive results included fetal CNVs, fetal mosaicism and typically producing Z scores between 3 and 4. Moreover, we analyze NIPT whole-genome sequencing to investigate the Single Nucleotide Polymorphisms (SNPs) associations with drug response or risk of disease. As compare to the 1000g East Asian genome data, the results reveal a significant difference in 7,285,418 SNPs variants of Shanxi pregnant women including 19,293 clinvar recorded variants and 7,266,125 non- clinvar recorded. Our findings showed that NIPS was an effective assay that may be applied as routine screening for fetal trisomies in the prenatal setting. In addition, this study also provides an accurate assessment of significant differencein 7,285,418 SNPs variants in Shanxi pregnant women that were previously unavailable to clinicians in Shanxi population.
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Affiliation(s)
- XiaoZe Li
- Changzhi Maternal and Child Health Care Hospital Affiliated Hospital of Changzhi Medical College, Department of Medical Genetic, Changzhi City, Shanxi Province, China
| | - LiHong Wang
- Changzhi Maternal and Child Health Care Hospital Affiliated Hospital of Changzhi Medical College, Department of Medical Genetic, Changzhi City, Shanxi Province, China
| | - ZeRong Yao
- Changzhi Maternal and Child Health Care Hospital Affiliated Hospital of Changzhi Medical College, Department of Medical Genetic, Changzhi City, Shanxi Province, China
| | - FangYing Ruan
- Changzhi Maternal and Child Health Care Hospital Affiliated Hospital of Changzhi Medical College, Department of Medical Genetic, Changzhi City, Shanxi Province, China
| | - ZhiPeng Hu
- Changzhi Maternal and Child Health Care Hospital Affiliated Hospital of Changzhi Medical College, Department of Medical Genetic, Changzhi City, Shanxi Province, China
| | - WenXia Song
- Changzhi Maternal and Child Health Care Hospital Affiliated Hospital of Changzhi Medical College, Department of Medical Genetic, Changzhi City, Shanxi Province, China
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