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Balaguer N, Rodrigo L, Mateu-Brull E, Campos-Galindo I, Castellón JA, Al-Asmar N, Rubio C, Milán M. Non-invasive cell-free DNA-based approach for the diagnosis of clinical miscarriage: A retrospective study. BJOG 2024; 131:213-221. [PMID: 37533357 DOI: 10.1111/1471-0528.17629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 07/05/2023] [Accepted: 07/21/2023] [Indexed: 08/04/2023]
Abstract
OBJECTIVE To evaluate cell-free DNA (cfDNA) testing as a non-invasive approach to detecting aneuploidies in clinical miscarriages. DESIGN A retrospective cohort study of women with pregnancy loss. SETTING Hospitals and genetic analysis laboratories. POPULATION OR SAMPLE Pregnancy losses in the period 2021-2022. METHODS Results derived from non-invasive cfDNA testing (Veriseq NIPT Solution V2) of maternal blood and invasive analysis of products of conception (POC) (Ion ReproSeq) compared in 120 women who suffered a miscarriage. MAIN OUTCOME MEASURES Concordance rate results, cfDNA testing performance, non-informative rate (NIR) and fetal fraction (FF). RESULTS We found no significant differences in the NIR between invasive (iPOC) and non-invasive (niPOC) analysis of POC (10.0% [12/120] versus 16.7% [20/120]). Of 120 samples, 90 provided an informative result in iPOC and niPOC groups (75%). cfDNA analysis correctly identified 74/87 (85.1%) samples (excluding triploidies). Sensitivity and specificity were 79.4% and 100%, respectively; all discordant cases were female. A binomial logistic model suggested fetal sex as the only variable influencing the concordance rate (P = 0.035). A Y-chromosome-based FF estimate allowed the optimal reclassification of cfDNA of non-informative male fetuses and a more accurate evaluation of cfDNA testing performance. The difference between the two FF estimates (native algorithm and Y-chromosome-based) suggests that female non-concordant cases may represent non-informative cases. CONCLUSIONS Cell-free DNA-based testing provides a non-invasive approach to determining the genetic cause of clinical miscarriage.
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Affiliation(s)
- Nuria Balaguer
- Prenatal Diagnosis Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | - Lorena Rodrigo
- Preimplantation Genetic Testing for Aneuploidies (PGT-A) Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | - Emilia Mateu-Brull
- Prenatal Diagnosis Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | - Inmaculada Campos-Galindo
- Preimplantation Genetic Testing for Aneuploidies (PGT-A) Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | | | | | - Carmen Rubio
- Research and Development Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | - Miguel Milán
- Prenatal Diagnosis Department, Igenomix Spain Lab S.L.U., Paterna, Spain
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Guo Y, Yu D, Zhou K, Wang J, Lei D, Xu Z, Tang W, Wu M, Fang X, Shen J, Peng Z, Xiang J. The effect of hemolysis on quality control metrics for noninvasive prenatal testing. BMC Med Genomics 2022; 15:125. [PMID: 35659298 PMCID: PMC9167518 DOI: 10.1186/s12920-022-01280-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/23/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Noninvasive prenatal testing (NIPT) is the testing of blood samples from pregnant women to screen for fetal risk of chromosomal disorders. Even though in vitro hemolysis of blood specimens is common in clinical laboratories, its influence on NIPT has not been well investigated. METHODS Peripheral blood samples were collected from 205 pregnant women and categorized according to the concentration of free hemoglobin in the plasma. After performing NIPT using massively parallel sequencing, the quality control metrics were analyzed and compared with samples that did not undergo hemolysis or samples redrawn from the same women. RESULTS The specimens were divided into four groups based on the concentration of free hemoglobin: Group I (0-1 g/L, n = 53), Group II (1-2 g/L, n = 97), Group III (2-4 g/L, n = 30), and Group IV (> 4 g/L, n = 25). There was no significant difference in the quality control metrics of clinical samples with slight or moderate hemolysis (Group II and III). However, samples with severe hemolysis (Group IV) showed a significantly increased rate of duplicated reads (duplication rate) and fetal fraction, as well as decreased library concentration compared with samples without hemolysis. Moreover, the increase in fetal fraction caused by hemolysis was confirmed by redrawing blood samples in Group IV. CONCLUSION For NIPT using massively parallel sequencing, samples with slight or moderate hemolysis (≤ 4 g/L) are acceptable. However, careful consideration should be taken regarding the use of severely hemolyzed samples (> 4 g/L), since they might increase the risk of test failure.
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Affiliation(s)
- Yaya Guo
- BGI College, Zhengzhou University, Zhengzhou, 450007, China
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450052, China
| | - Dandan Yu
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Kaisu Zhou
- Department of Obstetrics, Shenzhen Second People's Hospital, Shenzhen, 518000, China
| | - Jie Wang
- Department of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, 010020, China
| | - Dongzhu Lei
- Center of Prenatal Diagnosis, Chenzhou No.1 People's Hospital, Chenzhou, 423000, China
| | - Zhenpeng Xu
- BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, Wuhan, 430074, China
| | - Weijiang Tang
- BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, Wuhan, 430074, China
| | - Miaofeng Wu
- Clinical Laboratory of BGI Health, BGI-Shenzhen, Shenzhen, 518083, China
| | - Xingxing Fang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- Clinical Laboratory of BGI Health, BGI-Shenzhen, Shenzhen, 518083, China
| | - Jiankun Shen
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- Clinical Laboratory of BGI Health, BGI-Shenzhen, Shenzhen, 518083, China
| | - Zhiyu Peng
- BGI College, Zhengzhou University, Zhengzhou, 450007, China
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jiale Xiang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Deng C, Liu S. Factors Affecting the Fetal Fraction in Noninvasive Prenatal Screening: A Review. Front Pediatr 2022; 10:812781. [PMID: 35155308 PMCID: PMC8829468 DOI: 10.3389/fped.2022.812781] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 01/03/2022] [Indexed: 12/03/2022] Open
Abstract
A paradigm shift in noninvasive prenatal screening has been made with the discovery of cell-free fetal DNA in maternal plasma. Noninvasive prenatal screening is primarily used to screen for fetal aneuploidies, and has been used globally. Fetal fraction, an important parameter in the analysis of noninvasive prenatal screening results, is the proportion of fetal cell-free DNA present in the total maternal plasma cell-free DNA. It combines biological factors and bioinformatics algorithms to interpret noninvasive prenatal screening results and is an integral part of quality control. Maternal and fetal factors may influence fetal fraction. To date, there is no broad consensus on the factors that affect fetal fraction. There are many different approaches to evaluate this parameter, each with its advantages and disadvantages. Different fetal fraction calculation methods may be used in different testing platforms or laboratories. This review includes numerous publications that focused on the understanding of the significance, influencing factors, and interpretation of fetal fraction to provide a deeper understanding of this parameter.
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Affiliation(s)
- Cechuan Deng
- Prenatal Diagnostic Center, Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
| | - Shanling Liu
- Prenatal Diagnostic Center, Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
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