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Zaninović L, Bašković M, Ježek D, Katušić Bojanac A. Accuracy of Non-Invasive Prenatal Testing for Duchenne Muscular Dystrophy in Families at Risk: A Systematic Review. Diagnostics (Basel) 2023; 13:diagnostics13020183. [PMID: 36672993 PMCID: PMC9858348 DOI: 10.3390/diagnostics13020183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/02/2023] [Accepted: 01/03/2023] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Methodological advancements, such as relative haplotype and relative mutation dosage analyses, have enabled non-invasive prenatal diagnosis of autosomal recessive and X-linked diseases. Duchenne muscular dystrophy (DMD) is an X-linked recessive disease characterized by progressive proximal muscular dystrophy and a high mortality rate before the age of twenty. We aimed to systematically present obtainable data regarding a non-invasive prenatal diagnosis of DMD and provide a comprehensive resume on the topic. The emphasis was given to the comparison of different available protocols and molecular methods used for fetal inheritance deduction, as well as their correlation with prognostic accuracy. METHODS We searched the Scopus and PubMed databases on 11 November 2022 and included articles reporting a non-invasive prenatal diagnosis of DMD in families at risk using relative dosage analysis methods. RESULTS Of the 342 articles identified, 7 met the criteria. The reported accuracy of NIPT for DMD was 100% in all of the studies except one, which demonstrated an accuracy of 86.67%. The combined accuracy for studies applying indirect RHDO, direct RHDO, and RMD approaches were 94.74%, 100%, and 100%, respectively. Confirmatory results by invasive testing were available in all the cases. Regardless of the technological complexity and low prevalence of the disease that reduces the opportunity for systematic research, the presented work demonstrates substantial accuracy of NIPT for DMD. CONCLUSIONS Attempts for its implementation into everyday clinical practice raise many ethical and social concerns. It is essential to provide detailed guidelines and arrange genetic counseling in order to ensure the proper indications for testing and obtain informed parental consent.
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Affiliation(s)
- Luca Zaninović
- Scientific Centre of Excellence for Reproductive and Regenerative Medicine, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- Department of Obstetrics and Gynecology, University Hospital Centre Zagreb, Petrova 13, 10000 Zagreb, Croatia
| | - Marko Bašković
- Scientific Centre of Excellence for Reproductive and Regenerative Medicine, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- Children’s Hospital Zagreb, Ulica Vjekoslava Klaića 16, 10000 Zagreb, Croatia
- Correspondence: ; Tel.: +385-1-3636-379
| | - Davor Ježek
- Scientific Centre of Excellence for Reproductive and Regenerative Medicine, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- Department of Histology and Embryology, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- Department of Transfusion Medicine and Transplantation Biology, University Hospital Centre Zagreb, Kišpatićeva 12, 10000 Zagreb, Croatia
| | - Ana Katušić Bojanac
- Scientific Centre of Excellence for Reproductive and Regenerative Medicine, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
- Department of Medical Biology, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
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Zhao G, Wang X, Liu L, Dai P, Kong X. Noninvasive prenatal diagnosis of duchenne muscular dystrophy in five Chinese families based on relative mutation dosage approach. BMC Med Genomics 2021; 14:275. [PMID: 34802424 PMCID: PMC8607717 DOI: 10.1186/s12920-021-01128-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 11/11/2021] [Indexed: 11/21/2022] Open
Abstract
Background Relative haplotype dosage (RHDO) approach has been applied in noninvasive prenatal diagnosis (NIPD) of Duchenne muscular dystrophy (DMD). However, the RHDO procedure is relatively complicated and the parental haplotypes need to be constructed. Furthermore, it is not suitable for the diagnosis of de novo mutations or mosaicism in germ cells. Here, we investigated NIPD of DMD using a relative mutation dosage (RMD)-based approach—cell-free DNA Barcode-Enabled Single-Molecule Test (cfBEST), which has not previously been applied in the diagnosis of exon deletion. Methods Five DMD families caused by DMD gene point mutations or exon deletion were recruited for this study. After the breakpoints of exon deletion were precisely mapped with multiple PCR, the genotypes of the fetuses from the five DMD families were inferred using cfBEST, and were further validated by invasive prenatal diagnosis. Results The cfBEST results of the five families indicated that one fetus was female and did not carry the familial molecular alteration, three fetuses were carriers and one was male without the familial mutation. The invasive prenatal diagnosis results were consistent with those of the cfBEST procedure. Conclusion This is the first report of NIPD of DMD using the RMD-based approach. We extended the application of cfBEST from point mutation to exon deletion mutation. The results showed that cfBEST would be suitable for NIPD of DMD caused by different kinds of mutation types. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-021-01128-1.
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Affiliation(s)
- Ganye Zhao
- Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Xiaofeng Wang
- Hunan Research Center for Big Data Application in Genomics Genetalks Inc., Changsha, 410152, Hunan, China
| | - Lina Liu
- Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Peng Dai
- Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Xiangdong Kong
- Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
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Yan H, Zhu X, Chen J, Cao Y, Kwok YKY, Chen Z, Leung TY, Chen M, Choy KW. Noninvasive prenatal sequencing for multiple Mendelian monogenic disorders among fetuses with skeletal dysplasia or increased nuchal translucency. Prenat Diagn 2020; 40:1459-1465. [PMID: 32668031 DOI: 10.1002/pd.5792] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/19/2020] [Accepted: 07/12/2020] [Indexed: 01/05/2023]
Abstract
OBJECTIVES To evaluate the performance of noninvasive prenatal sequencing for multiple Mendelian monogenic disorders (NIPS-M) among fetuses with skeletal abnormalities or increased nuchal translucency (NT). METHODS Pregnancies with fetal skeletal abnormalities or increased NT (≥3.0 mm) observed by ultrasonography were recruited between October 2017 and March 2019. Parental blood from 13 couples were collected for NIPS-M testing reported. All the NIPS-M results were followed up by invasive diagnostic testing or neonatal examination. RESULTS Among the 13 cases, 8 (61.5%) yielded positive results for pathogenic variants in the FGFR3, COL1A1, RAF1, PTPN11 and SOS1 genes by NIPS-M. One case was excluded for further analysis due to insufficient fetal DNA (<4.5%). De novo mutations were reported in six of the eight positive cases (75%). The other two were inconclusive as the pathogenic variants were detected in both plasma and genomic DNA of the mothers. The sensitivity of NIPS-M was 100%. CONCLUSIONS Our pilot study demonstrates that NIPS-M is an accurate approach for detection of multiple monogenic disorders among fetuses with skeletal abnormalities or increased NT. It serves as an alternative and highly sensitive method to provide valuable molecular information for these groups of women who are reluctant to undergo invasive procedure.
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Affiliation(s)
- Huanchen Yan
- Department of Fetal Medicine and Prenatal Diagnosis, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Obstetrics & Gynecology Institute of Guangzhou, Guangzhou, China
| | - Xiaofan Zhu
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Jingsi Chen
- Department of Fetal Medicine and Prenatal Diagnosis, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Obstetrics & Gynecology Institute of Guangzhou, Guangzhou, China
| | - Ye Cao
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yvonne Ka Yin Kwok
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zihan Chen
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Tak Yeung Leung
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
| | - Min Chen
- Department of Fetal Medicine and Prenatal Diagnosis, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Obstetrics & Gynecology Institute of Guangzhou, Guangzhou, China
| | - Kwong Wai Choy
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
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