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Vogel I, Andreasen L, Balslev-Harder M, Becher N, Ernst A, Gadsbøll K, Hjortshøj TD, Hvidbjerg MS, Larsen M, Lou S, Bay Lund IC, Pedersen LH, Sønderberg Roos LK, Sperling L, Sunde L, Tørring PM, Vedel C, Petersen OB. Whole Genome Sequencing in Prenatal Diagnostics: The Danish Approach to Guideline Formation and Implementation Within Public Healthcare. Prenat Diagn 2025. [PMID: 40122702 DOI: 10.1002/pd.6780] [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: 10/28/2024] [Revised: 03/04/2025] [Accepted: 03/05/2025] [Indexed: 03/25/2025]
Abstract
OBJECTIVE To describe the implementation of whole genome sequencing (WGS) in prenatal diagnostics and outline the national guideline system facilitating this. METHODS Clinical guidelines for WGS in prenatal diagnostics were developed and implemented by the Danish Fetal Medicine Society. RESULTS Guidelines were developed by expert consensus following a review of 75 studies. Diagnostic yield served as a key factor in prioritizing WGS for various phenotypes, improving diagnostic accuracy and informing clinical decisions. Phenotypes for WGS include nuchal translucency ≥ 6.0 mm, multiple anomalies, skeletal dysplasia, neuromuscular diseases, non-immune hydrops fetalis, central nervous system malformations, congenital diaphragmatic hernia and severe fetal growth restriction (< 3 SDs not explained by placental insufficiency). Small regional variations exist in indications, bioinformatics, and funding, but WGS is now routinely used nationwide for these indications. CONCLUSION The Danish Fetal Medicine Society's guideline development, emphasizing diagnostic yield and gradual implementation, has supported the relatively uniform integration of WGS into prenatal diagnostics.
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Affiliation(s)
- Ida Vogel
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Center for Fetal Diagnostics, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Lotte Andreasen
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Marie Balslev-Harder
- Department of Clinical Genetics, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Naja Becher
- Center for Fetal Diagnostics, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Anja Ernst
- Department of Clinical Genetics, Aalborg University Hospital, Aalborg, Denmark
| | - Kasper Gadsbøll
- Center for Fetal Medicine, Pregnancy and Ultrasound, Department of Gynecology, Fertility and Obstetrics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Science, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Tina Duelund Hjortshøj
- Department of Clinical Genetics, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | | | - Martin Larsen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Stina Lou
- Center for Fetal Diagnostics, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- DEFACTUM-Public Health Research, Aarhus, Denmark
| | - Ida Charlotte Bay Lund
- Center for Fetal Diagnostics, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Lars Henning Pedersen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | | | - Lene Sperling
- Department of Obstetrics and Gynecology, Odense University Hospital, Odense, Denmark
| | - Lone Sunde
- Department of Clinical Genetics, Aalborg University Hospital, Aalborg, Denmark
| | | | - Cathrine Vedel
- Department of Clinical Genetics, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Center for Fetal Medicine, Pregnancy and Ultrasound, Department of Gynecology, Fertility and Obstetrics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Olav Bjørn Petersen
- Center for Fetal Medicine, Pregnancy and Ultrasound, Department of Gynecology, Fertility and Obstetrics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Science, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Krishnamurthy N, Krishna D, Sanjana, Rathinasamy J, Kumar A, Francis AM. Genetic impact of copy number variations on congenital heart defects: Current insights and future directions. Glob Med Genet 2025; 12:100008. [PMID: 39925442 PMCID: PMC11800308 DOI: 10.1016/j.gmg.2024.100008] [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: 09/20/2024] [Revised: 11/07/2024] [Accepted: 11/07/2024] [Indexed: 02/11/2025] Open
Abstract
Congenital heart defects (CHDs) are the most prevalent congenital abnormalities, and they are commonly associated with genetic alterations, namely copy number variants. CNVs, which are duplications or deletions of DNA sequences, can disrupt gene regulation, impact dosage-sensitive genes, and cause loss-of-function mutations, all of which can interfere with heart development. CNVs cause genomic instability by changing essential genes, which plays an important role in the pathophysiology of CHDs. Detecting these variants is critical for better understanding the genetic causes of these abnormalities and improving patient outcomes. Advanced genetic testing tools aid in detecting CNVs linked to CHDs. Multiplex Ligation-Dependent Probe Amplification (MLPA), High-throughput Ligation-Dependent Probe Amplification (HLPA), Whole Exome Sequencing (WES), Chromosomal Microarray Analysis (CMA), and CNV-specific sequencing (CNV-seq) have all greatly improved the detection of these variants. Furthermore, whole genome sequencing (WGS) has emerged as a potent method for detecting CNVs on a wide scale, allowing for earlier diagnosis and more effective treatment planning. Therefore, this review focuses on the rising significance of CNV research in congenital heart defects, emphasizing on how genetic differences might lead to improved diagnostic and treatment options. By combining genomic technologies, researchers and clinicians can gain a better understanding of the function of CNVs in CHDs, opening the door for personalised therapy.
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Affiliation(s)
- Nandini Krishnamurthy
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Devi Krishna
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Sanjana
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Jebaraj Rathinasamy
- Department of Pediatric Cardiology, Sri Ramachandra Medical Centre, Chennai, Tamil Nadu, India
| | - Ashok Kumar
- Department of Biotechnology, Vels Institute of Sciences Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India
| | - Andrea Mary Francis
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
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Qian J, Wang H, Liang H, Zheng Y, Yu M, Tse WT, Kwan AHW, Wong L, Wong NKL, Wah IYM, Lau SL, Hui SYA, Chau MHK, Chen X, Zhang R, Poon LC, Leung TY, Liu P, Choy KW, Dong Z. Mate-Pair Sequencing Enables Identification and Delineation of Balanced and Unbalanced Structural Variants in Prenatal Cytogenomic Diagnostics. Clin Chem 2025; 71:155-168. [PMID: 39749521 DOI: 10.1093/clinchem/hvae146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 08/14/2024] [Indexed: 01/04/2025]
Abstract
BACKGROUND Mate-pair sequencing detects both balanced and unbalanced structural variants (SVs) and simultaneously informs in relation to both genomic location and orientation of SVs for enhanced variant classification and clinical interpretation, while chromosomal microarray analysis (CMA) only reports deletion/duplication. Herein, we evaluated its diagnostic utility in a prospective back-to-back prenatal comparative study with CMA. METHODS From October 2021 to September 2023, 426 fetuses with ultrasound anomalies were prospectively recruited for mate-pair sequencing and CMA in parallel for prenatal genetic diagnosis. Balanced/unbalanced SVs and regions with absence of heterozygosity (AOH) were detected and classified independently, and comparisons were made between mate-pair sequencing and CMA to assess concordance. In addition, novel SVs were investigated for potential RNA perturbations using cultured cells, whenever available. RESULTS Mate-pair sequencing and CMA successfully yielded results for all 426 fetuses without the need for cell culturing. In addition, mate-pair sequencing identified 19 cases with aneuploidies, 16 cases with pathogenic simple deletions/duplications, and 5 cases with pathogenic translocations/insertions, providing a 25% incremental diagnostic yield compared to CMA (9.4%, 40/426 vs 7.6%, 32/426). Furthermore, by identifying the location and orientation of SVs, mate-pair sequencing improved the variant interpretation and/or follow-up approach for 40.0% (12) of the 30 cases with likely clinically significant deletions/duplications reported by CMA. Lastly, both platforms reported 3 cases (3/426) with multiple regions of AOH likely attributable to parental consanguinity. CONCLUSIONS Mate-pair sequencing detects additional balanced/unbalanced SVs and improves variant interpretation in comparison to CMA, indicating its potential to serve as a comprehensive prenatal cytogenomic diagnostic method.
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Affiliation(s)
- Jicheng Qian
- 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
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Huilin Wang
- Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital affiliated with Jinan University School of Medicine, Shenzhen, China
| | - Hailei Liang
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Yuting Zheng
- 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
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mingyang Yu
- 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
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wing Ting Tse
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Angel Hoi Wan Kwan
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lo Wong
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Natalie Kwun Long Wong
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Isabella Yi Man Wah
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - So Ling Lau
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shuk Yi Annie Hui
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Matthew Hoi Kin Chau
- 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
- Hong Kong Hub of Paediatric Excellence, 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 SAR, China
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Xiaoyan Chen
- Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital affiliated with Jinan University School of Medicine, Shenzhen, China
| | - Rui Zhang
- Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital affiliated with Jinan University School of Medicine, Shenzhen, China
| | - Liona C Poon
- 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
| | - Tak Yeung Leung
- 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 SAR, China
| | - Pengfei Liu
- The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong SAR, China
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States
| | - 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
- Hong Kong Hub of Paediatric Excellence, 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 SAR, China
- Fertility Preservation Research Center, Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zirui Dong
- 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
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
- Fertility Preservation Research Center, Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
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Chau MHK, Choolani M, Dong Z, Cao Y, Choy KW. Genome sequencing in the prenatal diagnosis of structural malformations in the fetus. Best Pract Res Clin Obstet Gynaecol 2024; 97:102539. [PMID: 39327108 DOI: 10.1016/j.bpobgyn.2024.102539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 06/12/2024] [Accepted: 09/02/2024] [Indexed: 09/28/2024]
Abstract
Prenatal genetic diagnosis has undergone two pivotal paradigm shifts, initially with the introduction of chromosomal microarray and subsequently with the advent of next-generation sequencing technologies (NGS). NGS technology has given rise to a multitude of applications, with gene panels, exome sequencing (ES), and genome sequencing (GS) emerging as highly promising tests for prenatal genetic investigations. These advanced approaches have demonstrated superior diagnostic rates when compared to conventional testing methods, showcasing the evolution and enhancement of prenatal genetic screening and diagnostic capabilities. With these ground-breaking innovations, NGS technologies have the potential to replace current standard practice in prenatal diagnosis. With the increasing use of prenatal sequencing, the need for better education and guidance on their applications grows. This chapter aims to illustrate the detection scope and feasibility of various NGS-based methods that are currently used in prenatal diagnosis.
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Affiliation(s)
- Matthew Hoi Kin Chau
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong Special Administrative Region
| | - Mahesh Choolani
- Department of Obstetrics and Gynaecology, National University Health System, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zirui Dong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong Special Administrative Region
| | - Ye Cao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong Special Administrative Region
| | - Kwong Wai Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong Special Administrative Region; Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
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Wang Y, Liu M, Gao Z, Hua C, Jiang J, Zheng Y, Dong Z, Cao Y, Choy KW, Zhu X, Kong X. Detection of genomic variants by genome sequencing in foetuses with central nervous system abnormalities. Ann Med 2024; 56:2399317. [PMID: 39239799 PMCID: PMC11382719 DOI: 10.1080/07853890.2024.2399317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 04/11/2024] [Accepted: 04/11/2024] [Indexed: 09/07/2024] Open
Abstract
OBJECTIVE Clinical validity of genome sequencing (GS) (>30×) has been preliminarily verified in the post-natal setting. This study is to investigate the potential utility of trio-GS as a prenatal test for diagnosis of central nervous system (CNS) anomalies. METHODS We performed trio-based GS on a prospective cohort of 17 foetuses with CNS abnormalities. Single nucleotide variation (SNV), small insertion and deletion (Indel), copy number variation (CNV), structural variant (SV), and regions with absence of heterozygosity (AOH) were analyzed and classified according to ACMG guidelines. RESULTS Trio-GS identified diagnostic findings in 29.4% (5/17) of foetuses, with pathogenic variants found in SON, L1CAM, KMT2D, and ASPM. Corpus callosum (CC) and cavum septum pellucidum (CSP) abnormalities were the most frequent CNS abnormalities (47.1%, 8/17) with a diagnostic yield of 50%. A total of 29.4% (5/17) foetuses had variants of uncertain significance (VUS). Particularly, maternal uniparental disomy 16 and a de novo mosaic 4p12p11 duplication were simultaneously detected in one foetus with abnormal sulcus development. In addition, parentally inherited chromosomal inversions were identified in two foetuses. CONCLUSION GS demonstrates its feasibility in providing genetic diagnosis for foetal CNS abnormalities and shows the potential to expand the application to foetuses with other ultrasound anomalies in prenatal diagnosis.
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Affiliation(s)
- Yanfei Wang
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Meimei Liu
- Prenatal Diagnosis Center, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhi Gao
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chunxiao Hua
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinna Jiang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Yuting Zheng
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Zirui Dong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Ye Cao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Kwong Wai Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Xiaofan Zhu
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiangdong Kong
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Chen CP. Detection of a heterozygous de novo pathogenic variant in the PTPN11 gene (c.1505 C > T, p.S502L) in a fetus associated with cystic hygroma and congenital heart defects. Taiwan J Obstet Gynecol 2024; 63:955-957. [PMID: 39482013 DOI: 10.1016/j.tjog.2024.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2024] [Indexed: 11/03/2024] Open
Affiliation(s)
- Chih-Ping Chen
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan; Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan; School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan; Institute of Clinical and Community Health Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Obstetrics and Gynecology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Medical Laboratory Science and Biotechnology, College of Medical & Health Science, Asia University, Taichung, Taiwan.
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Xue H, Yu A, Chen L, Guo Q, Zhang L, Lin N, Chen X, Xu L, Huang H. Prenatal genetic diagnosis of fetuses with dextrocardia using whole exome sequencing in a tertiary center. Sci Rep 2024; 14:16266. [PMID: 39009665 PMCID: PMC11251054 DOI: 10.1038/s41598-024-67164-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 07/09/2024] [Indexed: 07/17/2024] Open
Abstract
To evaluate the genetic etiology of fetal dextrocardia, associated ultrasound anomalies, and perinatal outcomes, we investigated the utility of whole exome sequencing (WES) for prenatal diagnosis of dextrocardia. Fetuses with dextrocardia were prospectively collected between January 2016 and December 2022. Trio-WES was performed on fetuses with dextrocardia, following normal karyotyping and/or chromosomal microarray analysis (CMA) results. A total of 29 fetuses with dextrocardia were collected, including 27 (93.1%) diagnosed with situs inversus totalis and 2 (6.9%) with situs inversus partialis. Cardiac malformations were present in nine cases, extra-cardiac anomalies were found in seven cases, and both cardiac and extra-cardiac malformations were identified in one case. The fetal karyotypes and CMA results of 29 cases were normal. Of the 29 cases with dextrocardia, 15 underwent WES, and the other 14 cases refused. Of the 15 cases that underwent WES, clinically relevant variants were identified in 5/15 (33.3%) cases, including the diagnostic variants DNAH5, DNAH11, LRRC56, PEX10, and ZIC3, which were verified by Sanger sequencing. Of the 10 cases with non-diagnostic results via WES, eight (80%) chose to continue the pregnancies. Of the 29 fetuses with dextrocardia, 10 were terminated during pregnancy, and 19 were live born. Fetal dextrocardia is often accompanied by cardiac and extra-cardiac anomalies, and fetal dextrocardia accompanied by situs inversus is associated with a high risk of primary ciliary dyskinesia. Trio-WES is recommended following normal karyotyping and CMA results because it can improve the diagnostic utility of genetic variants of fetal dextrocardia, accurately predict fetal prognosis, and guide perinatal management and the reproductive decisions of affected families.
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Affiliation(s)
- Huili Xue
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou City, 350001, Fujian Province, China.
| | - Aili Yu
- Reproductive Medicine Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou City, 350001, Fujian Province, China
| | - Lingji Chen
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou City, 350001, Fujian Province, China
| | - Qun Guo
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou City, 350001, Fujian Province, China
| | - Lin Zhang
- Fujian Medical University, No. 88 Jiaotong Road, Cangshan District, Fuzhou City, 350001, Fujian Province, China
| | - Na Lin
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou City, 350001, Fujian Province, China
| | - Xuemei Chen
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou City, 350001, Fujian Province, China
| | - Liangpu Xu
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou City, 350001, Fujian Province, China.
| | - Hailong Huang
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou City, 350001, Fujian Province, China.
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Reilly K, Sonner S, McCay N, Rolnik DL, Casey F, Seale AN, Watson CJ, Kan A, Lai THT, Chung BHY, Diderich KEM, Srebniak MI, Dempsey E, Drury S, Giordano J, Wapner R, Kilby MD, Chitty LS, Mone F. The incremental yield of prenatal exome sequencing over chromosome microarray for congenital heart abnormalities: A systematic review and meta-analysis. Prenat Diagn 2024; 44:821-831. [PMID: 38708840 DOI: 10.1002/pd.6581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 04/05/2024] [Accepted: 04/08/2024] [Indexed: 05/07/2024]
Abstract
OBJECTIVES To determine the incremental yield of prenatal exome sequencing (PES) over standard testing in fetuses with an isolated congenital heart abnormality (CHA), CHA associated with extra-cardiac malformations (ECMs) and CHA dependent upon anatomical subclassification. METHODS A systematic review of the literature was performed using MEDLINE, EMBASE, Web of Science and grey literature January 2010-February 2023. Studies were selected if they included greater than 20 cases of prenatally diagnosed CHA when standard testing (QF-PCR/chromosome microarray/karyotype) was negative. Pooled incremental yield was determined. PROSPERO CRD 42022364747. RESULTS Overall, 21 studies, incorporating 1957 cases were included. The incremental yield of PES (causative pathogenic and likely pathogenic variants) over standard testing was 17.4% (95% CI, 13.5%-21.6%), 9.3% (95% CI, 6.6%-12.3%) and 35.9% (95% CI, 21.0%-52.3%) for all CHAs, isolated CHAs and CHAs associated with ECMs. The subgroup with the greatest yield was complex lesions/heterotaxy; 35.2% (95% CI 9.7%-65.3%). The most common syndrome was Kabuki syndrome (31/256, 12.1%) and most pathogenic variants occurred de novo and in autosomal dominant (monoallelic) disease causing genes (114/224, 50.9%). CONCLUSION The likelihood of a monogenic aetiology in fetuses with multi-system CHAs is high. Clinicians must consider the clinical utility of offering PES in selected isolated cardiac lesions.
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Affiliation(s)
- K Reilly
- Centre for Public Health, Queens University Belfast, Belfast, UK
| | - S Sonner
- Centre for Public Health, Queens University Belfast, Belfast, UK
| | - N McCay
- Department of Paediatric Cardiology, Royal Belfast Hospital for Sick Children, Belfast, UK
| | - D L Rolnik
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia
| | - F Casey
- Department of Paediatric Cardiology, Royal Belfast Hospital for Sick Children, Belfast, UK
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - A N Seale
- Department of Paediatric Cardiology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
- Institute of Cardiovascular Science, University of Birmingham, Birmingham, UK
| | - C J Watson
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - A Kan
- Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong, China
| | - T H T Lai
- Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong, China
| | - B H Y Chung
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - K E M Diderich
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - M I Srebniak
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - E Dempsey
- South West Thames Regional Genetics Service, London, UK
- School of Biological and Molecular Sciences, St George's University of London, London, UK
| | - S Drury
- Congenica Ltd, Biodata Innovation Centre, Wellcome Trust Genome Campus, Hinxton, UK
| | - J Giordano
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York, USA
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Columbia University Medical Center, New York, New York, USA
| | - R Wapner
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York, USA
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Columbia University Medical Center, New York, New York, USA
| | - M D Kilby
- Fetal Medicine Center, Birmingham Women's & Children's Foundation Trust, Birmingham, UK
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Medical Genomics Research Group, Illumina, Cambridge, UK
| | - L S Chitty
- Great Ormond Street NHS Foundation Trust, London, UK
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - F Mone
- Centre for Public Health, Queens University Belfast, Belfast, UK
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Tse WT, Cao Y, Lam PPH, Law KM, Choy KW, Ting YH. Renal and extra-renal phenotypes in a fetus with a de novo pathogenic variant in the HNF1B gene. Prenat Diagn 2024; 44:251-254. [PMID: 38141042 DOI: 10.1002/pd.6501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/07/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023]
Abstract
We report a fetus with prenatal ultrasound at 21 gestational weeks showing left cystic renal dysplasia with subcapsular cysts and echogenic parenchyma, right echogenic kidney with absent corticomedullary differentiation, and left congenital diaphragmatic hernia (CDH) with bowel herniation, with intestinal atresia (IA) found on postmortem examination. Whole genome sequencing of fetal blood DNA revealed a heterozygous pathogenic variant c.344 + 2 T>G in the HNF1B gene (NM_000458). Sanger sequencing of the parental samples suggested that it arose de novo in the fetus. HNF1B-associated disorders affect multiple organs with significant phenotypic heterogeneity. In pediatric and adult patients, renal cystic disease and cystic dysplasia are the dominant phenotypes. In prenatal settings, renal anomaly is also the most common presentation, typically with bilateral hyperechogenic kidneys. Our case presented with two uncommon extra-renal phenotypes of CDH and IA besides the typical bilateral cystic renal dysplasia. This association has been reported in fetuses with 17q12 microdeletion but not with HNF1B point mutation. Our case is the first prenatal report of such an association and highlights the possible causal relationship of HNF1B defects with CDH and IA in addition to the typical renal anomalies.
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Affiliation(s)
- Wing Ting Tse
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region
| | - Ye Cao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region
| | - Pensi Ping Hei Lam
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region
| | - Kwok Ming Law
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region
| | - Kwong Wai Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region
| | - Yuen Ha Ting
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region
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10
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Shreeve N, Sproule C, Choy KW, Dong Z, Gajewska-Knapik K, Kilby MD, Mone F. Incremental yield of whole-genome sequencing over chromosomal microarray analysis and exome sequencing for congenital anomalies in prenatal period and infancy: systematic review and meta-analysis. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:15-23. [PMID: 37725747 DOI: 10.1002/uog.27491] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/08/2023] [Accepted: 09/08/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVES First, to determine the incremental yield of whole-genome sequencing (WGS) over quantitative fluorescence polymerase chain reaction (QF-PCR)/chromosomal microarray analysis (CMA) with and without exome sequencing (ES) in fetuses, neonates and infants with a congenital anomaly that was or could have been detected on prenatal ultrasound. Second, to evaluate the turnaround time (TAT) and quantity of DNA required for testing using these pathways. METHODS This review was registered prospectively in December 2022. Ovid MEDLINE, EMBASE, MEDLINE (Web of Science), The Cochrane Library and ClinicalTrials.gov databases were searched electronically (January 2010 to December 2022). Inclusion criteria were cohort studies including three or more fetuses, neonates or infants with (i) one or more congenital anomalies; (ii) an anomaly which was or would have been detectable on prenatal ultrasound; and (iii) negative QF-PCR and CMA. In instances in which the CMA result was unavailable, all cases of causative pathogenic copy number variants > 50 kb were excluded, as these would have been detectable on standard prenatal CMA. Pooled incremental yield was determined using a random-effects model and heterogeneity was assessed using Higgins' I2 test. Subanalyses were performed based on pre- or postnatal cohorts, cases with multisystem anomalies and those meeting the NHS England prenatal ES inclusion criteria. RESULTS A total of 18 studies incorporating 902 eligible cases were included, of which eight (44.4%) studies focused on prenatal cohorts, incorporating 755 cases, and the remaining studies focused on fetuses undergoing postmortem testing or neonates/infants with congenital structural anomalies, constituting the postnatal cohort. The incremental yield of WGS over QF-PCR/CMA was 26% (95% CI, 18-36%) (I2 = 86%), 16% (95% CI, 9-24%) (I2 = 85%) and 39% (95% CI, 27-51%) (I2 = 53%) for all, prenatal and postnatal cases, respectively. The incremental yield increased in cases in which sequencing was performed in line with the NHS England prenatal ES criteria (32% (95% CI, 22-42%); I2 = 70%) and in those with multisystem anomalies (30% (95% CI, 19-43%); I2 = 65%). The incremental yield of WGS for variants of uncertain significance (VUS) was 18% (95% CI, 7-33%) (I2 = 74%). The incremental yield of WGS over QF-PCR/CMA and ES was 1% (95% CI, 0-4%) (I2 = 47%). The pooled median TAT of WGS was 18 (range, 1-912) days, and the quantity of DNA required was 100 ± 0 ng for WGS and 350 ± 50 ng for QF-PCR/CMA and ES (P = 0.03). CONCLUSION While WGS in cases with congenital anomaly holds great promise, its incremental yield over ES is yet to be demonstrated. However, the laboratory pathway for WGS requires less DNA with a potentially faster TAT compared with sequential QF-PCR/CMA and ES. There was a relatively high rate of VUS using WGS. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- N Shreeve
- Department of Obstetrics & Gynaecology, University of Cambridge, Cambridge, UK
| | - C Sproule
- Department of Obstetrics & Gynaecology, South Eastern Health and Social Care Trust, Belfast, UK
| | - K W Choy
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Z Dong
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - K Gajewska-Knapik
- Department of Obstetrics & Gynaecology, Cambridge University Hospitals, Cambridge, UK
| | - M D Kilby
- Fetal Medicine Centre, Birmingham Women's and Children's Foundation Trust, Birmingham, UK
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Medical Genomics Research Group, Illumina, Cambridge, UK
| | - F Mone
- Centre for Public Health, Queen's University Belfast, Belfast, UK
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11
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Kumar RD, Saba LF, Streff H, Shaw CA, Mizerik E, Snyder MT, Lopez-Terrada D, Scull J. Clinical genome sequencing: Three years' experience at a tertiary children's hospital. Genet Med 2023; 25:100916. [PMID: 37334785 DOI: 10.1016/j.gim.2023.100916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 06/20/2023] Open
Abstract
PURPOSE Genome sequencing (GS) may shorten the diagnostic odyssey for patients, but clinical experience with this assay in nonresearch settings remains limited. Texas Children's Hospital began offering GS as a clinical test to admitted patients in 2020, providing an opportunity to study GS utilization, possibilities for test optimization, and testing outcomes. METHODS We retrospectively reviewed GS orders for admitted patients for a nearly 3-year period from March 2020 through December 2022. We gathered anonymized clinical data from the electronic health record to answer the study questions. RESULTS The diagnostic yield over 97 admitted patients was 35%. The majority of GS clinical indications were neurologic or metabolic (61%) and most patients were in intensive care (58%). Tests were often characterized as candidates for intervention/improvement (56%), frequently because of redundancy with prior testing. Patients receiving GS without prior exome sequencing (ES) had higher diagnostic rates (45%) than the cohort as a whole. In 2 cases, GS revealed a molecular diagnosis that is unlikely to be detected by ES. CONCLUSION The performance of GS in clinical settings likely justifies its use as a first-line diagnostic test, but the incremental benefit for patients with prior ES may be limited.
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Affiliation(s)
- Runjun D Kumar
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX.
| | - Lisa F Saba
- Department of Pathology, Texas Children's Hospital, Houston, TX
| | - Haley Streff
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Department of Pathology, Texas Children's Hospital, Houston, TX
| | - Chad A Shaw
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Department of Statistics, Rice University, Houston, TX
| | - Elizabeth Mizerik
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Matthew T Snyder
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Dolores Lopez-Terrada
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX; Department of Pathology, Texas Children's Hospital, Houston, TX; Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Jennifer Scull
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX; Department of Pathology, Texas Children's Hospital, Houston, TX.
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12
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Lowther C, Valkanas E, Giordano JL, Wang HZ, Currall BB, O'Keefe K, Pierce-Hoffman E, Kurtas NE, Whelan CW, Hao SP, Weisburd B, Jalili V, Fu J, Wong I, Collins RL, Zhao X, Austin-Tse CA, Evangelista E, Lemire G, Aggarwal VS, Lucente D, Gauthier LD, Tolonen C, Sahakian N, Stevens C, An JY, Dong S, Norton ME, MacKenzie TC, Devlin B, Gilmore K, Powell BC, Brandt A, Vetrini F, DiVito M, Sanders SJ, MacArthur DG, Hodge JC, O'Donnell-Luria A, Rehm HL, Vora NL, Levy B, Brand H, Wapner RJ, Talkowski ME. Systematic evaluation of genome sequencing for the diagnostic assessment of autism spectrum disorder and fetal structural anomalies. Am J Hum Genet 2023; 110:1454-1469. [PMID: 37595579 PMCID: PMC10502737 DOI: 10.1016/j.ajhg.2023.07.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/25/2023] [Accepted: 07/25/2023] [Indexed: 08/20/2023] Open
Abstract
Short-read genome sequencing (GS) holds the promise of becoming the primary diagnostic approach for the assessment of autism spectrum disorder (ASD) and fetal structural anomalies (FSAs). However, few studies have comprehensively evaluated its performance against current standard-of-care diagnostic tests: karyotype, chromosomal microarray (CMA), and exome sequencing (ES). To assess the clinical utility of GS, we compared its diagnostic yield against these three tests in 1,612 quartet families including an individual with ASD and in 295 prenatal families. Our GS analytic framework identified a diagnostic variant in 7.8% of ASD probands, almost 2-fold more than CMA (4.3%) and 3-fold more than ES (2.7%). However, when we systematically captured copy-number variants (CNVs) from the exome data, the diagnostic yield of ES (7.4%) was brought much closer to, but did not surpass, GS. Similarly, we estimated that GS could achieve an overall diagnostic yield of 46.1% in unselected FSAs, representing a 17.2% increased yield over karyotype, 14.1% over CMA, and 4.1% over ES with CNV calling or 36.1% increase without CNV discovery. Overall, GS provided an added diagnostic yield of 0.4% and 0.8% beyond the combination of all three standard-of-care tests in ASD and FSAs, respectively. This corresponded to nine GS unique diagnostic variants, including sequence variants in exons not captured by ES, structural variants (SVs) inaccessible to existing standard-of-care tests, and SVs where the resolution of GS changed variant classification. Overall, this large-scale evaluation demonstrated that GS significantly outperforms each individual standard-of-care test while also outperforming the combination of all three tests, thus warranting consideration as the first-tier diagnostic approach for the assessment of ASD and FSAs.
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Affiliation(s)
- Chelsea Lowther
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Elise Valkanas
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Biological and Biomedical Sciences, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Jessica L Giordano
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Harold Z Wang
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin B Currall
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Kathryn O'Keefe
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Emma Pierce-Hoffman
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nehir E Kurtas
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Christopher W Whelan
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephanie P Hao
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ben Weisburd
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vahid Jalili
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jack Fu
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Isaac Wong
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan L Collins
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Bioinformatics and Integrative Genomics, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Xuefang Zhao
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Christina A Austin-Tse
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Emily Evangelista
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gabrielle Lemire
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vimla S Aggarwal
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Diane Lucente
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Laura D Gauthier
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Charlotte Tolonen
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nareh Sahakian
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Christine Stevens
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joon-Yong An
- School of Biosystem and Biomedical Science, Korea University, Seoul, South Korea
| | - Shan Dong
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mary E Norton
- Center for Maternal-Fetal Precision Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Tippi C MacKenzie
- Center for Maternal-Fetal Precision Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kelly Gilmore
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Bradford C Powell
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alicia Brandt
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Francesco Vetrini
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Michelle DiVito
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Stephan J Sanders
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel G MacArthur
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Centre for Population Genomics, Garvan Institute of Medical Research, and University of New South Wales Sydney, Sydney, NSW, Australia; Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Jennelle C Hodge
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Anne O'Donnell-Luria
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Heidi L Rehm
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Neeta L Vora
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brynn Levy
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Harrison Brand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Ronald J Wapner
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Michael E Talkowski
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Program in Biological and Biomedical Sciences, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA; Program in Bioinformatics and Integrative Genomics, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
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13
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Hu P, Zhang Q, Cheng Q, Luo C, Zhang C, Zhou R, Meng L, Huang M, Wang Y, Wang Y, Qiao F, Xu Z. Whole genome sequencing vs chromosomal microarray analysis in prenatal diagnosis. Am J Obstet Gynecol 2023; 229:302.e1-302.e18. [PMID: 36907537 DOI: 10.1016/j.ajog.2023.03.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 02/27/2023] [Accepted: 03/03/2023] [Indexed: 03/12/2023]
Abstract
BACKGROUND Emerging studies suggest that whole genome sequencing provides additional diagnostic yield of genomic variants when compared with chromosomal microarray analysis in the etiologic diagnosis of infants and children with suspected genetic diseases. However, the application and evaluation of whole genome sequencing in prenatal diagnosis remain limited. OBJECTIVE This study aimed to evaluate the accuracy, efficacy, and incremental yield of whole genome sequencing in comparison with chromosomal microarray analysis for routine prenatal diagnosis. STUDY DESIGN In this prospective study, a total of 185 unselected singleton fetuses with ultrasound-detected structural anomalies were enrolled. In parallel, each sample was subjected to whole genome sequencing and chromosomal microarray analysis. Aneuploidies and copy number variations were detected and analyzed in a blinded fashion. Single nucleotide variations and insertions and deletions were confirmed by Sanger sequencing, and trinucleotide repeats expansion variants were verified using polymerase chain reaction plus fragment-length analysis. RESULTS Overall, genetic diagnoses using whole genome sequencing were obtained for 28 (15.1%) cases. Whole genome sequencing not only detected all these aneuploidies and copy number variations in the 20 (10.8%) diagnosed cases identified by chromosomal microarray analysis, but also detected 1 case with an exonic deletion of COL4A2 and 7 (3.8%) cases with single nucleotide variations or insertions and deletions. In addition, 3 incidental findings were detected including an expansion of the trinucleotide repeat in ATXN3, a splice-sites variant in ATRX, and an ANXA11 missense mutation in a case of trisomy 21. CONCLUSION Compared with chromosomal microarray analysis, whole genome sequencing increased the additional detection rate by 5.9% (11/185). Using whole genome sequencing, we detected not only aneuploidies and copy number variations, but also single nucleotide variations and insertions and deletions, trinucleotide repeat expansions, and exonic copy number variations with high accuracy in an acceptable turnaround time (3-4 weeks). Our results suggest that whole genome sequencing has the potential to be a new promising prenatal diagnostic test for fetal structural anomalies.
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Affiliation(s)
- Ping Hu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Qinxin Zhang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Qing Cheng
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Chunyu Luo
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Cuiping Zhang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Ran Zhou
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Lulu Meng
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Mingtao Huang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Yuguo Wang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Yan Wang
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
| | - Fengchang Qiao
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
| | - Zhengfeng Xu
- Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
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14
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Li K, Zhao Y, Chau MHK, Cao Y, Leung TY, Kwok YK, Choy KW, Dong Z. Low-Pass Genome Sequencing-Based Detection of Paternity: Validation in Clinical Cytogenetics. Genes (Basel) 2023; 14:1357. [PMID: 37510263 PMCID: PMC10379141 DOI: 10.3390/genes14071357] [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: 05/12/2023] [Revised: 06/22/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
Submission of a non-biological parent together with a proband for genetic diagnosis would cause a misattributed parentage (MP), possibly leading to misinterpretation of the pathogenicity of genomic variants. Therefore, a rapid and cost-effective paternity/maternity test is warranted before genetic testing. Although low-pass genome sequencing (GS) has been widely used for the clinical diagnosis of germline structural variants, it is limited in paternity/maternity tests due to the inadequate read coverage for genotyping. Herein, we developed rapid paternity/maternity testing based on low-pass GS with trio-based and duo-based analytical modes provided. The optimal read-depth was determined as 1-fold per case regardless of sequencing read lengths, modes, and library construction methods by using 10 trios with confirmed genetic relationships. In addition, low-pass GS with different library construction methods and 1-fold read-depths were performed for 120 prenatal trios prospectively collected, and 1 trio was identified as non-maternity, providing a rate of MP of 0.83% (1/120). All results were further confirmed via quantitative florescent PCR. Overall, we developed a rapid, cost-effective, and sequencing platform-neutral paternity/maternity test based on low-pass GS and demonstrated the feasibility of its clinical use in confirming the parentage for genetic diagnosis.
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Affiliation(s)
- Keying Li
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yilin Zhao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
| | - Matthew Hoi Kin Chau
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- Baylor College of Medicine Joint Center for Medical Genetics, The Chinese University of Hong Kong, Hong Kong, China
| | - Ye Cao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Tak Yeung Leung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- Baylor College of Medicine Joint Center for Medical Genetics, The Chinese University of Hong Kong, Hong Kong, China
- The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yvonne K Kwok
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Kwong Wai Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- Baylor College of Medicine Joint Center for Medical Genetics, The Chinese University of Hong Kong, Hong Kong, China
- The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Zirui Dong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
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15
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Dong Z, Qian J, Law TSM, Chau MHK, Cao Y, Xue S, Tong S, Zhao Y, Kwok YK, Ng K, Chan DYL, Chiu PKF, Ng CF, Chung CHS, Mak JSM, Leung TY, Chung JPW, Morton CC, Choy KW. Mate-pair genome sequencing reveals structural variants for idiopathic male infertility. Hum Genet 2023; 142:363-377. [PMID: 36526900 DOI: 10.1007/s00439-022-02510-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022]
Abstract
Currently, routine genetic investigation for male infertility includes karyotyping analysis and PCR for Y chromosomal microdeletions to provide prognostic information such as sperm retrieval success rate. However, over 85% of male infertility remain idiopathic. We assessed 101 male patients with primary infertility in a retrospective cohort analysis who have previously received negative results from standard-of-care tests. Mate-pair genome sequencing (large-insert size library), an alternative long-DNA sequencing method, was performed to detect clinically significant structural variants (SVs) and copy-number neutral absence of heterozygosity (AOH). Candidate SVs were filtered against our in-house cohort of 1077 fertile men. Genes disrupted by potentially clinically significant variants were correlated with single-cell gene expression profiles of human fetal and postnatal testicular developmental lineages and adult germ cells. Follow-up studies were conducted for each patient with clinically relevant finding(s). Molecular diagnoses were made in 11.1% (7/63) of patients with non-obstructive azoospermia and 13.2% (5/38) of patients with severe oligozoospermia. Among them, 12 clinically significant SVs were identified in 12 cases, including five known syndromes, one inversion, and six SVs with direct disruption of genes by intragenic rearrangements or complex insertions. Importantly, a genetic defect related to intracytoplasmic sperm injection (ICSI) failure was identified in a patient with non-obstructive azoospermia, illustrating the additional value of an etiologic diagnosis in addition to determining sperm retrieval rate. Our study reveals a landscape of various genomic variants in 101 males with idiopathic infertility, not only advancing understanding of the underlying mechanisms of male infertility, but also impacting clinical management.
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Affiliation(s)
- Zirui Dong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China. .,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China. .,Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China. .,The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
| | - Jicheng Qian
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China
| | - Tracy Sze Man Law
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China
| | - Matthew Hoi Kin Chau
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China.,Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
| | - Ye Cao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China.,Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China.,The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Shuwen Xue
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China
| | - Steve Tong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yilin Zhao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yvonne K Kwok
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Karen Ng
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - David Yiu Leung Chan
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Peter K-F Chiu
- SH Ho Urology Centre, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Chi-Fai Ng
- SH Ho Urology Centre, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Cathy Hoi Sze Chung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Jennifer Sze Man Mak
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Tak Yeung Leung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China.,The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
| | - Jacqueline Pui Wah Chung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China.,The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
| | - Cynthia C Morton
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, 02115, USA.,Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester, Manchester, M13 9PL, UK
| | - Kwong Wai Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China. .,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China. .,Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China. .,The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China. .,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China.
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