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Balasubramanian D, Borges Pinto P, Grasso A, Vincent S, Tarayre H, Lajoignie D, Ghavi-Helm Y. Enhancer-promoter interactions can form independently of genomic distance and be functional across TAD boundaries. Nucleic Acids Res 2024; 52:1702-1719. [PMID: 38084924 PMCID: PMC10899756 DOI: 10.1093/nar/gkad1183] [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: 04/25/2023] [Revised: 11/21/2023] [Accepted: 11/29/2023] [Indexed: 02/29/2024] Open
Abstract
Topologically Associating Domains (TADs) have been suggested to facilitate and constrain enhancer-promoter interactions. However, the role of TAD boundaries in effectively restricting these interactions remains unclear. Here, we show that a significant proportion of enhancer-promoter interactions are established across TAD boundaries in Drosophila embryos, but that developmental genes are strikingly enriched in intra- but not inter-TAD interactions. We pursued this observation using the twist locus, a master regulator of mesoderm development, and systematically relocated one of its enhancers to various genomic locations. While this developmental gene can establish inter-TAD interactions with its enhancer, the functionality of these interactions remains limited, highlighting the existence of topological constraints. Furthermore, contrary to intra-TAD interactions, the formation of inter-TAD enhancer-promoter interactions is not solely driven by genomic distance, with distal interactions sometimes favored over proximal ones. These observations suggest that other general mechanisms must exist to establish and maintain specific enhancer-promoter interactions across large distances.
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Affiliation(s)
- Deevitha Balasubramanian
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique UMR5242, Université Claude Bernard-Lyon 1; 69364 Lyon, France
- Indian Institute of Science Education and Research (IISER) Tirupati; Tirupati 517507 Andhra Pradesh, India
| | - Pedro Borges Pinto
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique UMR5242, Université Claude Bernard-Lyon 1; 69364 Lyon, France
| | - Alexia Grasso
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique UMR5242, Université Claude Bernard-Lyon 1; 69364 Lyon, France
| | - Séverine Vincent
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique UMR5242, Université Claude Bernard-Lyon 1; 69364 Lyon, France
| | - Hélène Tarayre
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique UMR5242, Université Claude Bernard-Lyon 1; 69364 Lyon, France
| | - Damien Lajoignie
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique UMR5242, Université Claude Bernard-Lyon 1; 69364 Lyon, France
| | - Yad Ghavi-Helm
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique UMR5242, Université Claude Bernard-Lyon 1; 69364 Lyon, France
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2
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Xiao Y, Cheng D, Luo K, Li M, Tan Y, Lin G, Hu L. Evaluation of genetic risk of apparently balanced chromosomal rearrangement carriers by breakpoint characterization. J Assist Reprod Genet 2024; 41:147-159. [PMID: 37993578 PMCID: PMC10789712 DOI: 10.1007/s10815-023-02986-7] [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: 08/03/2023] [Accepted: 10/31/2023] [Indexed: 11/24/2023] Open
Abstract
PURPOSE To report genetic characteristics and associated risk of chromosomal breaks due to chromosomal rearrangements in large samples. METHODS MicroSeq, a technique that combines chromosome microdissection and next-generation sequencing, was used to identify chromosomal breakpoints. Long-range PCR and Sanger sequencing were used to precisely characterize 100 breakpoints in 50 ABCR carriers. RESULTS In addition to the recurrent regions of balanced rearrangement breaks in 8q24.13, 11q11.23, and 22q11.21 that had been documented, we have discovered a 10-Mb region of 12q24.13-q24.3 that could potentially be a sparse region of balanced rearrangement breaks. We found that 898 breakpoints caused gene disruption and a total of 188 breakpoints interrupted genes recorded in OMIM. The percentage of breakpoints that disrupted autosomal dominant genes recorded in OMIM was 25.53% (48/188). Fifty-four of the precisely characterized breakpoints had 1-8-bp microhomologous sequences. CONCLUSION Our findings provide a reference for the evaluation of the pathogenicity of mutations in related genes that cause protein truncation in clinical practice. According to the characteristics of breakpoints, non-homologous end joining and microhomology-mediated break-induced replication may be the main mechanism for ABCRs formation.
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Affiliation(s)
- Yanqin Xiao
- Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Dehua Cheng
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410023, Hunan, China
| | - Keli Luo
- Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410023, Hunan, China
| | - Mengge Li
- National Engineering and Research Center of Human Stem Cells, Changsha, 410023, Hunan, China
- Hunan Guangxiu Hospital, Changsha, 410023, Hunan, China
| | - Yueqiu Tan
- Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410023, Hunan, China
| | - Ge Lin
- Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410023, Hunan, China
- National Engineering and Research Center of Human Stem Cells, Changsha, 410023, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Development and Carcinogenesis, Changsha, 410008, Hunan, China
| | - Liang Hu
- Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410023, Hunan, China.
- National Engineering and Research Center of Human Stem Cells, Changsha, 410023, Hunan, China.
- Hunan International Scientific and Technological Cooperation Base of Development and Carcinogenesis, Changsha, 410008, Hunan, China.
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3
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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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4
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Ke X, Yang H, Pan H, Jiang Y, Li M, Zhang H, Hao N, Zhu H. The Application of Optical Genome Mapping (OGM) in Severe Short Stature Caused by Duplication of 15q14q21.3. Genes (Basel) 2023; 14:genes14051016. [PMID: 37239376 DOI: 10.3390/genes14051016] [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: 03/28/2023] [Revised: 04/26/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
(1) Background: Optical genome mapping (OGM) is a novel approach to identifying genomic structural variations with high accuracy and resolution. We report a proband with severe short stature caused by 46, XY, der (16) ins (16;15) (q23; q21.3q14) that was detected by OGM combined with other tests and review the clinical features of patients with duplication within 15q14q21.3; (2) Methods: OGM, whole exon sequencing (WES), copy number variation sequencing (CNV-seq), and karyotyping were used; (3) Results: The proband was a 10.7-year-old boy with a complaint of severe short stature (-3.41SDS) and abnormal gait. He had growth hormone deficiency, lumbar lordosis, and epiphyseal dysplasia of both femurs. WES and CNV-seq showed a 17.27 Mb duplication of chromosome 15, and there was an insertion in chromosome 16 found by karyotyping. Furthermore, OGM revealed that duplication of 15q14q21.3 was inversely inserted into 16q23.1, resulting in two fusion genes. A total of fourteen patients carried the duplication of 15q14q21.3, with thirteen previously reported and one from our center, 42.9% of which were de novo. In addition, neurologic symptoms (71.4%,10/14) were the most common phenotypes; (4) Conclusions: OGM combined with other genetic methods can reveal the genetic etiology of patients with the clinical syndrome, presenting great potential for use in properly diagnosing in the genetic cause of the clinical syndrome.
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Affiliation(s)
- Xiaoan Ke
- State Key Laboratory of Complex Severe and Rare Diseases, Chinese Research Center for Behavior Medicine in Growth and Development, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Hongbo Yang
- State Key Laboratory of Complex Severe and Rare Diseases, Chinese Research Center for Behavior Medicine in Growth and Development, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Hui Pan
- State Key Laboratory of Complex Severe and Rare Diseases, Chinese Research Center for Behavior Medicine in Growth and Development, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Yulin Jiang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Mengmeng Li
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Hanzhe Zhang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Na Hao
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Huijuan Zhu
- State Key Laboratory of Complex Severe and Rare Diseases, Chinese Research Center for Behavior Medicine in Growth and Development, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
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Gridina MM, Vesna E, Minzhenkova ME, Shilova NV, Ryzhkova OP, Nazarenko LP, Belyaeva EO, Lebedev IN, Fishman VS. Influence of human peripheral blood samples preprocessing on the quality of Hi-C libraries. Vavilovskii Zhurnal Genet Selektsii 2023; 27:83-87. [PMID: 36923477 PMCID: PMC10009481 DOI: 10.18699/vjgb-23-11] [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: 11/08/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 03/18/2023] Open
Abstract
The genome-wide variant of the chromatin conformation capture technique (Hi-C) is a powerful tool for revealing patterns of genome spatial organization, as well as for understanding the effects of their disturbance on disease development. In addition, Hi-C can be used to detect chromosomal rearrangements, including balanced translocations and inversions. The use of the Hi-C method for the detection of chromosomal rearrangements is becoming more widespread. Modern high-throughput methods of genome analysis can effectively reveal point mutations and unbalanced chromosomal rearrangements. However, their sensitivity for determining translocations and inversions remains rather low. The storage of whole blood samples can affect the amount and integrity of genomic DNA, and it can distort the results of subsequent analyses if the storage was not under proper conditions. The Hi-C method is extremely demanding on the input material. The necessary condition for successfully applying Hi-C and obtaining high-quality data is the preservation of the spatial chromatin organization within the nucleus. The purpose of this study was to determine the optimal storage conditions of blood samples for subsequent Hi-C analysis. We selected 10 different conditions for blood storage and sample processing. For each condition, we prepared and sequenced Hi-C libraries. The quality of the obtained data was compared. As a result of the work, we formulated the requirements for the storage and processing of samples to obtain high-quality Hi-C data. We have established the minimum volume of blood sufficient for conducting Hi-C analysis. In addition, we have identified the most suitable methods for isolation of peripheral blood mononuclear cells and their long-term storage. The main requirement we have formulated is not to freeze whole blood.
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Affiliation(s)
- M M Gridina
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - E Vesna
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | | | - N V Shilova
- Research Centre for Medical Genetics, Moscow, Russia
| | - O P Ryzhkova
- Research Centre for Medical Genetics, Moscow, Russia
| | - L P Nazarenko
- Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - E O Belyaeva
- Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - I N Lebedev
- Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - V S Fishman
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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Karami N, Iravani F, Bakhshandeh Bavarsad S, Asadollahi S, Mehdi Hoseini S, Montazeri F, Mehdi Kalantar S. Comparing the advantages, disadvantages and diagnostic power of different non-invasive pre-implantation genetic testing: A literature review. Int J Reprod Biomed 2023; 22:177-190. [PMID: 38868450 PMCID: PMC11165227 DOI: 10.18502/ijrm.v22i3.16161] [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: 08/16/2023] [Revised: 01/14/2024] [Accepted: 02/05/2024] [Indexed: 06/14/2024] Open
Abstract
To improve embryo transfer success and increase the chances of live birth in assisted reproductive methods, there is a growing demand for the use of pre-implantation genetic testing (PGT). However, the invasive approaches used in PGT have led to in vitrofertilization failure and abortions, increasing anxiety levels for parents. To address this, non-invasive PGT methods have been introduced, such as the detection of DNA in blastocoel fluid of blastocysts and spent culture media (SCM). These methods have proven to be minimally invasive and effective in detecting aneuploidy in the chromosomes of human embryos. This review aims to explore the different approaches to pre-implantation diagnosis, including invasive and non-invasive methods, with a particular focus on non-invasive PGT (niPGT). The search strategy involved gathering data from scientific databases such as PubMed, Google Scholar, and Science Direct using relevant keywords. The search was conducted until January 2023. In total, 22 studies have successfully reported the detection and amplification of cell-free DNA in the embryonic SCM. It is important to note that niPGT has some limitations, which include differences in indicators such as cell-free DNA amplification rate, concordance, level of maternal DNA contamination, sensitivity, and specificity between SCM samples and biopsied cells. Therefore, more extensive and detailed research is needed to fully understand niPGT's potential for clinical applications.
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Affiliation(s)
- Noorodin Karami
- Abortion Research Centre, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
- Department of Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Farzaneh Iravani
- Abortion Research Centre, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
- Department of Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sareh Bakhshandeh Bavarsad
- Abortion Research Centre, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
- Department of Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Samira Asadollahi
- Department of Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
- Research Center for Food Hygiene and Safety, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Seyed Mehdi Hoseini
- Biotechnology Research Centre, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Science, Yazd, Iran
| | - Fateme Montazeri
- Abortion Research Centre, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Seyed Mehdi Kalantar
- Abortion Research Centre, Yazd Reproductive Sciences Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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7
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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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8
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Zhang S, Pei Z, Lei C, Zhu S, Deng K, Zhou J, Yang J, Lu D, Sun X, Xu C, Xu C. Detection of cryptic balanced chromosomal rearrangements using high-resolution optical genome mapping. J Med Genet 2023; 60:274-284. [PMID: 35710108 DOI: 10.1136/jmedgenet-2022-108553] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/28/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Chromosomal rearrangements have profound consequences in diverse human genetic diseases. Currently, the detection of balanced chromosomal rearrangements (BCRs) mainly relies on routine cytogenetic G-banded karyotyping. However, cryptic BCRs are hard to detect by karyotyping, and the risk of miscarriage or delivering abnormal offspring with congenital malformations in carrier couples is significantly increased. In the present study, we aimed to investigate the potential of single-molecule optical genome mapping (OGM) in unravelling cryptic chromosomal rearrangements. METHODS Eleven couples with normal karyotypes that had abortions/affected offspring with unbalanced rearrangements were enrolled. Ultra-high-molecular-weight DNA was isolated from peripheral blood cells and processed via OGM. The genome assembly was performed followed by variant calling and annotation. Meanwhile, multiple detection strategies, including FISH, long-range-PCR amplicon-based next-generation sequencing and Sanger sequencing were implemented to confirm the results obtained from OGM. RESULTS High-resolution OGM successfully detected cryptic reciprocal translocation in all recruited couples, which was consistent with the results of FISH and sequencing. All high-confidence cryptic chromosomal translocations detected by OGM were confirmed by sequencing analysis of rearrangement breakpoints. Moreover, OGM revealed additional complex rearrangement events such as inverted aberrations, further refining potential genetic interpretation. CONCLUSION To the best of our knowledge, this is the first study wherein OGM facilitate the rapid and robust detection of cryptic chromosomal reciprocal translocations in clinical practice. With the excellent performance, our findings suggest that OGM is well qualified as an accurate, comprehensive and first-line method for detecting cryptic BCRs in routine clinical testing.
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Affiliation(s)
- Shuo Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Zhenle Pei
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Caixia Lei
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Saijuan Zhu
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Ke Deng
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Jing Zhou
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Jingmin Yang
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China.,NHC Key Laboratory of Birth Defects and Reproductive Health, Chongqing Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning, Science and Technology Research Institute, Chongqing, China
| | - Daru Lu
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China.,NHC Key Laboratory of Birth Defects and Reproductive Health, Chongqing Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning, Science and Technology Research Institute, Chongqing, China
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Chenming Xu
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Congjian Xu
- Shanghai Ji Ai Genetics & IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
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9
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Zhang S, Pei Z, Lei C, Bai Y, Wu J, Xiao M, Zhou J, Hu B, Chen S, Wu Y, Yang J, Sun X, Lu D, Xu C, Xu C. A novel noninvasive prenatal testing method for chromosomal rearrangements using maternal circulating cell-free foetal DNA. Clin Transl Med 2023; 13:e1160. [PMID: 36610059 PMCID: PMC9825107 DOI: 10.1002/ctm2.1160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 12/12/2022] [Accepted: 12/16/2022] [Indexed: 01/09/2023] Open
Affiliation(s)
- Shuo Zhang
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Zhenle Pei
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Caixia Lei
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Yixuan Bai
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Junping Wu
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Min Xiao
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Jing Zhou
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Bin Hu
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Songchang Chen
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Yiming Wu
- State Key Laboratory of Genetic EngineeringSchool of Life ScienceFudan UniversityShanghaiChina,NHC Key Laboratory of Birth Defects and Reproductive HealthChongqing Key Laboratory of Birth Defects and Reproductive HealthChongqing Population and Family PlanningScience and Technology Research InstituteChongqingChina
| | - Jingmin Yang
- State Key Laboratory of Genetic EngineeringSchool of Life ScienceFudan UniversityShanghaiChina,NHC Key Laboratory of Birth Defects and Reproductive HealthChongqing Key Laboratory of Birth Defects and Reproductive HealthChongqing Population and Family PlanningScience and Technology Research InstituteChongqingChina
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Daru Lu
- State Key Laboratory of Genetic EngineeringSchool of Life ScienceFudan UniversityShanghaiChina,NHC Key Laboratory of Birth Defects and Reproductive HealthChongqing Key Laboratory of Birth Defects and Reproductive HealthChongqing Population and Family PlanningScience and Technology Research InstituteChongqingChina
| | - Chenming Xu
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Congjian Xu
- Shanghai Ji Ai Genetics & IVF InstituteShanghai Key Laboratory of Female Reproductive Endocrine Related DiseasesObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina,Department of Obstetrics and Gynecology of Shanghai Medical SchoolFudan UniversityShanghaiChina
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10
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Wang Y, Zhao Z, Fu X, Li S, Zhang Q, Kong X. Detection of a Cryptic 25 bp Deletion and a 269 Kb Microduplication by Nanopore Sequencing in a Seemingly Balanced Translocation Involving the LMLN and LOC105378102 Genes. Front Genet 2022; 13:883398. [PMID: 36110201 PMCID: PMC9469083 DOI: 10.3389/fgene.2022.883398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/07/2022] [Indexed: 12/03/2022] Open
Abstract
Preimplantation genetic testing plays a critical role in enabling a balanced translocation carrier to obtain the normal embryo. Identifying the precise breakpoints for the carriers with phenotypic abnormity, allows us to reveal disrupted genes. In this study, a seemingly balanced translocation 46, XX, t (3; 6) (q29; q26) was first detected using conventional karyotype analysis. To locate the precise breakpoints, whole genomes of DNA were sequenced based on the nanopore GridION platform, and bioinformatic analyses were further confirmed by polymerase-chain-reaction (PCR) and copy number variation (CNV). Nanopore sequencing results were consistent with the karyotype analysis. Meanwhile, two breakpoints were successfully validated using polymerase-chain-reaction and Sanger Sequencing. LOC105378102 and LMLN genes were disrupted at the breakpoint junctions. Notably, observations found that seemingly balanced translocation was unbalanced due to a cryptic 269 kilobases (Kb) microduplication and a 25 bp deletion at the breakpoints of chromosome (chr) 6 and chr 3, respectively. Furthermore, 269 Kb microduplication was also confirmed by copy number variation analyses. In summary, nanopore sequencing was a rapid and direct method for identifying the precise breakpoints of a balanced translocation despite low coverage (3.8×). In addition, cryptic deletion and duplication were able to be detected at the single-nucleotide level.
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11
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The Burden and Benefits of Knowledge: Ethical Considerations Surrounding Population-Based Newborn Genome Screening for Hearing. Int J Neonatal Screen 2022; 8:ijns8020036. [PMID: 35735787 PMCID: PMC9224714 DOI: 10.3390/ijns8020036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/13/2022] [Accepted: 05/16/2022] [Indexed: 12/04/2022] Open
Abstract
Recent advances in genomic sequencing technologies have expanded practitioners' utilization of genetic information in a timely and efficient manner for an accurate diagnosis. With an ever-increasing resource of genomic data from progress in the interpretation of genome sequences, clinicians face decisions about how and when genomic information should be presented to families, and at what potential expense. Presently, there is limited knowledge or experience in establishing the value of implementing genome sequencing into newborn screening. Herein we provide insight into the complexities and the burden and benefits of knowledge resulting from genome sequencing of newborns.
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12
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Abstract
One of the most fundamental questions in developmental biology is how one fertilized cell can give rise to a fully mature organism and how gene regulation governs this process. Precise spatiotemporal gene expression is required for development and is believed to be achieved through a complex interplay of sequence-specific information, epigenetic modifications, trans-acting factors, and chromatin folding. Here we review the role of chromatin folding during development, the mechanisms governing 3D genome organization, and how it is established in the embryo. Furthermore, we discuss recent advances and debated questions regarding the contribution of the 3D genome to gene regulation during organogenesis. Finally, we describe the mechanisms that can reshape the 3D genome, including disease-causing structural variations and the emerging view that transposable elements contribute to chromatin organization.
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Affiliation(s)
- Juliane Glaser
- RG Development and Disease, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Stefan Mundlos
- RG Development and Disease, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
- Institute for Medical and Human Genetics, Charité Universitätsmedizin Berlin, 13353 Berlin, Germany
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, 10178 Berlin, Germany
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13
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Cao Y, Chau M, Zheng Y, Zhao YL, Kwan A, Hui A, Lam YH, Tan T, Tse WT, Wong L, Leung TY, Dong Z, Choy KW. Exploring the diagnostic utility of genome sequencing for fetal congenital heart defects. Prenat Diagn 2022; 42:862-872. [PMID: 35441720 DOI: 10.1002/pd.6151] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/14/2022] [Accepted: 04/15/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The diagnostic yield for congenital heart defects (CHD) with routine genetic testing is around 10-20% when considering the pathogenic CNVs or aneuploidies as positive findings. This is a pilot study to investigate the utility of genome sequencing (GS) for prenatal diagnosis of CHD. METHODS Genome sequencing (GS, 30X) was performed on 13 trios with CHD for which karyotyping and/or chromosomal microarray results were non-diagnostic. RESULTS Trio GS provided a diagnosis for 4/13 (30.8%) fetuses with complex CHDs and other structural anomalies. Findings included pathogenic or likely pathogenic variants in DNAH5, COL4A1, PTPN11, and KRAS. Of nine cases without a possibly genetic etiology by GS, we had follow-up on eight. For five of them (60%), the parents chose to keep the pregnancy. A balanced translocation [46,XX,t(14;22)(q32.33;q13.31)mat] was detected in a trio with biallelic DNAH5 mutations, which together explained the recurrent fetal situs inversus and dextrocardia that was presumably due to de novo Phelan-McDermid syndrome. A secondary finding of a BRCA2 variant and carrier status of HBB, USH2A, HBA1/HBA2 were detected in the trio. CONCLUSIONS GS expands the diagnostic scope of mutation types over conventional testing, revealing the genetic etiology for fetal heart anomalies. Patients without a known genetic abnormality indicated by GS likely opted to keep pregnancy especially if the heart issue could be repaired. We provide evidence to support the application of GS for fetuses with CHD. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Y Cao
- Department of Paediatrics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Fertility Preservation Research Centre, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mhk Chau
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Fertility Preservation Research Centre, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Y Zheng
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Y L Zhao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ahw Kwan
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Asy Hui
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Y H Lam
- OB GYN ULTRASOUND, Henley Building, 5 Queen's Road C, Central, Hong Kong SAR, China
| | - Tyt Tan
- Tony Tan Women and Fetal Clinic, Mount Alvernia Hospital, Singapore
| | - W T Tse
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - L Wong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - T Y Leung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, 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
| | - Z Dong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Fertility Preservation Research Centre, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - K W Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.,Laboratory Genetics and Genomics, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Fertility Preservation Research Centre, Department of Obstetrics and 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 SAR, China
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14
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A high-throughput real-time PCR tissue-of-origin test to distinguish blood from lymphoblastoid cell line DNA for (epi)genomic studies. Sci Rep 2022; 12:4684. [PMID: 35304543 PMCID: PMC8933453 DOI: 10.1038/s41598-022-08663-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 03/09/2022] [Indexed: 12/13/2022] Open
Abstract
Lymphoblastoid cell lines (LCLs) derive from blood infected in vitro by Epstein–Barr virus and were used in several genetic, transcriptomic and epigenomic studies. Although few changes were shown between LCL and blood genotypes (SNPs) validating their use in genetics, more were highlighted for other genomic features and/or in their transcriptome and epigenome. This could render them less appropriate for these studies, notably when blood DNA could still be available. Here we developed a simple, high-throughput and cost-effective real-time PCR approach allowing to distinguish blood from LCL DNA samples based on the presence of EBV relative load and rearranged T-cell receptors γ and β. Our approach was able to achieve 98.5% sensitivity and 100% specificity on DNA of known origin (458 blood and 316 LCL DNA). It was further applied to 1957 DNA samples from the CEPH Aging cohort comprising DNA of uncertain origin, identifying 784 blood and 1016 LCL DNA. A subset of these DNA was further analyzed with an epigenetic clock indicating that DNA extracted from blood should be preferred to LCL for DNA methylation-based age prediction analysis. Our approach could thereby be a powerful tool to ascertain the origin of DNA in old collections prior to (epi)genomic studies.
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15
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Lee WP, Zhu Q, Yang X, Liu S, Cerveira E, Ryan M, Mil-Homens A, Bellfy L, Ye K, Lee C, Zhang C. JAX-CNV: A Whole-genome Sequencing-based Algorithm for Copy Number Detection at Clinical Grade Level. GENOMICS, PROTEOMICS & BIOINFORMATICS 2022; 20:1197-1206. [PMID: 35085778 DOI: 10.1016/j.gpb.2021.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 04/30/2021] [Accepted: 09/06/2021] [Indexed: 10/19/2022]
Abstract
We aimed to develop a whole-genome sequencing (WGS)-based copy number variant (CNV) calling algorithm with the potential of replacing chromosomal microarray assay (CMA) for clinical diagnosis. JAX-CNV is thus developed for CNV detection from WGS data. The performance of this CNV calling algorithm was evaluated in a blinded manner on 31 samples and compared to the 112 CNVs reported by clinically validated CMAs for these 31 samples. The result showed that JAX-CNV recalled 100% of these CNVs. Besides, JAX-CNV identified an average of 30 CNVs per individual that was an approximately seven-fold increase compared to calls of clinically validated CMAs. Experimental validation of 24 randomly selected CNVs showed one false positive, i.e., a false discovery rate (FDR) of 4.17%. A robustness test on lower-coverage data revealed a 100% sensitivity for CNVs larger than 300 kb (the current threshold for College of American Pathologists) down to 10× coverage. For CNVs larger than 50 kb, sensitivities were 100% for coverages deeper than 20×, 97% for 15×, and 95% for 10×. We developed a WGS-based CNV pipeline, including this newly developed CNV caller JAX-CNV, and found it capable of detecting CMA-reported CNVs at a sensitivity of 100% with about a FDR of 4%. We propose that JAX-CNV could be further examined in a multi-institutional study to justify the transition of first-tier genetic testing from CMAs to WGS. JAX-CNV is available at https://github.com/TheJacksonLaboratory/JAX-CNV.
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Affiliation(s)
- Wan-Ping Lee
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; School of Cyber Science and Engineering, Xi'an Jiaotong University, Xi'an 710049, China; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Qihui Zhu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Xiaofei Yang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China; MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Silvia Liu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Eliza Cerveira
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Mallory Ryan
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Adam Mil-Homens
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Lauren Bellfy
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Kai Ye
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Charles Lee
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Life Sciences, Ewha Womans University, Seoul 03760, South Korea
| | - Chengsheng Zhang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
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16
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Dremsek P, Schwarz T, Weil B, Malashka A, Laccone F, Neesen J. Optical Genome Mapping in Routine Human Genetic Diagnostics-Its Advantages and Limitations. Genes (Basel) 2021; 12:1958. [PMID: 34946907 PMCID: PMC8701374 DOI: 10.3390/genes12121958] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/03/2021] [Accepted: 12/06/2021] [Indexed: 12/01/2022] Open
Abstract
In recent years, optical genome mapping (OGM) has developed into a highly promising method of detecting large-scale structural variants in human genomes. It is capable of detecting structural variants considered difficult to detect by other current methods. Hence, it promises to be feasible as a first-line diagnostic tool, permitting insight into a new realm of previously unknown variants. However, due to its novelty, little experience with OGM is available to infer best practices for its application or to clarify which features cannot be detected. In this study, we used the Saphyr system (Bionano Genomics, San Diego, CA, USA), to explore its capabilities in human genetic diagnostics. To this end, we tested 14 DNA samples to confirm a total of 14 different structural or numerical chromosomal variants originally detected by other means, namely, deletions, duplications, inversions, trisomies, and a translocation. Overall, 12 variants could be confirmed; one deletion and one inversion could not. The prerequisites for detection of similar variants were explored by reviewing the OGM data of 54 samples analyzed in our laboratory. Limitations, some owing to the novelty of the method and some inherent to it, were described. Finally, we tested the successful application of OGM in routine diagnostics and described some of the challenges that merit consideration when utilizing OGM as a diagnostic tool.
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Affiliation(s)
- Paul Dremsek
- Institute of Medical Genetics, Center for Pathobiochemistry and Genetics, Medical University of Vienna, 1090 Vienna, Austria; (T.S.); (B.W.); (A.M.); (F.L.); (J.N.)
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17
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Chau MHK, Qian J, Chen Z, Li Y, Zheng Y, Tse WT, Kwok YK, Leung TY, Dong Z, Choy KW. Trio-Based Low-Pass Genome Sequencing Reveals Characteristics and Significance of Rare Copy Number Variants in Prenatal Diagnosis. Front Genet 2021; 12:742325. [PMID: 34616436 PMCID: PMC8488434 DOI: 10.3389/fgene.2021.742325] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 08/25/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Low-pass genome sequencing (GS) detects clinically significant copy number variants (CNVs) in prenatal diagnosis. However, detection at improved resolutions leads to an increase in the number of CNVs identified, increasing the difficulty of clinical interpretation and management. Methods: Trio-based low-pass GS was performed in 315 pregnancies undergoing invasive testing. Rare CNVs detected in the fetuses were investigated. The characteristics of rare CNVs were described and compared to curated CNVs in other studies. Results: A total of 603 rare CNVs, namely, 597 constitutional and 6 mosaic CNVs, were detected in 272 fetuses (272/315, 86.3%), providing 1.9 rare CNVs per fetus (603/315). Most CNVs were smaller than 1 Mb (562/603, 93.2%), while 1% (6/603) were mosaic. Forty-six de novo (7.6%, 46/603) CNVs were detected in 11.4% (36/315) of the cases. Eighty-four CNVs (74 fetuses, 23.5%) involved disease-causing genes of which the mode of inheritance was crucial for interpretation and assessment of recurrence risk. Overall, 31 pathogenic/likely pathogenic CNVs were detected, among which 25.8% (8/31) were small (<100 kb; n = 3) or mosaic CNVs (n = 5). Conclusion: We examined the landscape of rare CNVs with parental inheritance assignment and demonstrated that they occur frequently in prenatal diagnosis. This information has clinical implications regarding genetic counseling and consideration for trio-based CNV analysis.
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Affiliation(s)
- Matthew Hoi Kin Chau
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China
| | - Jicheng Qian
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China
| | - Zihan Chen
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China
| | - Ying Li
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China
| | - Yu Zheng
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China
| | - Wing Ting Tse
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China
| | - Yvonne K Kwok
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China
| | - Tak Yeung Leung
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center For Medical Genetics, Shatin, Hong Kong, SAR China
| | - Zirui Dong
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China
| | - Kwong Wai Choy
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center For Medical Genetics, Shatin, Hong Kong, SAR China
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18
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Mantere T, Neveling K, Pebrel-Richard C, Benoist M, van der Zande G, Kater-Baats E, Baatout I, van Beek R, Yammine T, Oorsprong M, Hsoumi F, Olde-Weghuis D, Majdali W, Vermeulen S, Pauper M, Lebbar A, Stevens-Kroef M, Sanlaville D, Dupont JM, Smeets D, Hoischen A, Schluth-Bolard C, El Khattabi L. Optical genome mapping enables constitutional chromosomal aberration detection. Am J Hum Genet 2021; 108:1409-1422. [PMID: 34237280 PMCID: PMC8387289 DOI: 10.1016/j.ajhg.2021.05.012] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 05/28/2021] [Indexed: 01/02/2023] Open
Abstract
Chromosomal aberrations including structural variations (SVs) are a major cause of human genetic diseases. Their detection in clinical routine still relies on standard cytogenetics. Drawbacks of these tests are a very low resolution (karyotyping) and the inability to detect balanced SVs or indicate the genomic localization and orientation of duplicated segments or insertions (copy number variant [CNV] microarrays). Here, we investigated the ability of optical genome mapping (OGM) to detect known constitutional chromosomal aberrations. Ultra-high-molecular-weight DNA was isolated from 85 blood or cultured cells and processed via OGM. A de novo genome assembly was performed followed by structural variant and CNV calling and annotation, and results were compared to known aberrations from standard-of-care tests (karyotype, FISH, and/or CNV microarray). In total, we analyzed 99 chromosomal aberrations, including seven aneuploidies, 19 deletions, 20 duplications, 34 translocations, six inversions, two insertions, six isochromosomes, one ring chromosome, and four complex rearrangements. Several of these variants encompass complex regions of the human genome involved in repeat-mediated microdeletion/microduplication syndromes. High-resolution OGM reached 100% concordance compared to standard assays for all aberrations with non-centromeric breakpoints. This proof-of-principle study demonstrates the ability of OGM to detect nearly all types of chromosomal aberrations. We also suggest suited filtering strategies to prioritize clinically relevant aberrations and discuss future improvements. These results highlight the potential for OGM to provide a cost-effective and easy-to-use alternative that would allow comprehensive detection of chromosomal aberrations and structural variants, which could give rise to an era of "next-generation cytogenetics."
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Affiliation(s)
- Tuomo Mantere
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands; Radboud Institute of Medical Life Sciences, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands; Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit and Biocenter Oulu, University of Oulu, 90220 Oulu, Finland
| | - Kornelia Neveling
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands; Radboud Institute of Health Sciences, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Céline Pebrel-Richard
- Department of Chromosomal and Molecular Genetics, University Hospital of Clermont-Ferrand, 63003 Clermont-Ferrand, France
| | - Marion Benoist
- Department of Cytogenetics, APHP.centre - Université de Paris, Hôpital Cochin, 75014 Paris, France
| | - Guillaume van der Zande
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Ellen Kater-Baats
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Imane Baatout
- Department of Cytogenetics, APHP.centre - Université de Paris, Hôpital Cochin, 75014 Paris, France
| | - Ronald van Beek
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Tony Yammine
- Institut Neuromyogène, CNRS UMR 5310, INSERM U1217, Lyon 1 University, 69008 Lyon, France; Unit of Medical Genetics, Saint-Joseph University, 1107 2180 Beyrouth, Lebanon
| | - Michiel Oorsprong
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Faten Hsoumi
- Department of Cytogenetics, APHP.centre - Université de Paris, Hôpital Cochin, 75014 Paris, France
| | - Daniel Olde-Weghuis
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Wed Majdali
- Department of Cytogenetics, APHP.centre - Université de Paris, Hôpital Cochin, 75014 Paris, France
| | - Susan Vermeulen
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Marc Pauper
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Aziza Lebbar
- Department of Cytogenetics, APHP.centre - Université de Paris, Hôpital Cochin, 75014 Paris, France
| | - Marian Stevens-Kroef
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Damien Sanlaville
- Institut Neuromyogène, CNRS UMR 5310, INSERM U1217, Lyon 1 University, 69008 Lyon, France; Department of Genetics, Hospices Civils de Lyon, 69677 Bron, France
| | - Jean Michel Dupont
- Department of Cytogenetics, APHP.centre - Université de Paris, Hôpital Cochin, 75014 Paris, France; Université de Paris, Cochin Institute U1016, INSERM, 75014 Paris, France
| | - Dominique Smeets
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands
| | - Alexander Hoischen
- Department of Human Genetics, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands; Radboud Institute of Medical Life Sciences, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6500HB Nijmegen, the Netherlands.
| | - Caroline Schluth-Bolard
- Institut Neuromyogène, CNRS UMR 5310, INSERM U1217, Lyon 1 University, 69008 Lyon, France; Department of Genetics, Hospices Civils de Lyon, 69677 Bron, France
| | - Laïla El Khattabi
- Department of Cytogenetics, APHP.centre - Université de Paris, Hôpital Cochin, 75014 Paris, France; Université de Paris, Cochin Institute U1016, INSERM, 75014 Paris, France.
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19
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Array-comparative Genomic Hybridization Results in Clinically Affected Cases with Apparently Balanced Chromosomal Rearrangements. Balkan J Med Genet 2021; 23:25-34. [PMID: 33816069 PMCID: PMC8009573 DOI: 10.2478/bjmg-2020-0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Carriers of apparently balanced chromosomal rearrangements (ABCRs) have a 2-3-fold higher risk of carrying an abnormal phenotype, when compared to the average population. Apparently balanced chromosomal rearrangements can be imbalanced at the submicroscopic level, and changes in the gene structure, formation of a new chimeric gene, gain or loss of function of the genes and altered imprinting pattern may also affect the phenotype. Chromosomal microarray (CMA) is an efficient tool to detect submicroscopic imbalances at the breakpoints as well as in the whole genome. We aimed to determine the effectiveness of array-comparative genomic hybridization (aCGH) application in phenotypically affected cases with ABCRs at a single center from Turkey. Thirty-four affected cases (13 prenatal, 21 postnatal) carrying ABCRs were investigated with CMA. In postnatal series, ABCRs were familial in 7 and de novo in 14 cases. Seven de novo cases were imbalanced (in postnatal series 33.3% and in de novo cases 50.0%). Out of 13 prenatal cases, five were familial and eight were de novo in origin and two de novo cases were imbalanced (in 15.4% prenatal series and in 25.0% de novo cases). No cryptic imbalance was observed in familial cases. The anomaly rates with array studies ranged between 14.3-25.0% in familial and between 20.0-57.5% in de novo cases of postnatal series in the literature. Studies focused on prenatal ABCR cases with abnormal ultrasound findings are limited and no submicroscopic imbalance was reported in the cohorts. When de novo postnatal or prenatal results were combined, the percentage of abnormalities detected by CMA was 40.9%. Taking this contribution into consideration, all ABCRs should be investigated by CMA even if the fetal ultrasound findings are normal.
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20
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Zhu X, Chen M, Wang H, Guo Y, Chau MHK, Yan H, Cao Y, Kwok YKY, Chen J, Hui ASY, Zhang R, Meng Z, Zhu Y, Leung TY, Xiong L, Kong X, Choy KW. Clinical utility of expanded non-invasive prenatal screening and chromosomal microarray analysis in high-risk pregnancy. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 57:459-465. [PMID: 32198896 DOI: 10.1002/uog.22021] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 02/27/2020] [Accepted: 03/13/2020] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To evaluate the utility of expanded non-invasive prenatal screening (NIPS), compared with chromosomal microarray analysis (CMA), for the detection of chromosomal abnormalities in high-risk pregnancies. METHODS This was a multicenter retrospective study of singleton pregnancies at high risk for chromosomal abnormality. Patients who underwent expanded NIPS and CMA sequentially during pregnancy from 2015 to 2019 were included in the analysis. Pregnancies with a positive result for sex chromosome aneuploidy were excluded as the full details could not be retrieved. The utility of expanded NIPS and CMA for detection of chromosomal abnormalities in this cohort was compared by assessing the concordance between the results. RESULTS Of the 774 included high-risk pregnancies, 550 (71.1%) had a positive NIPS result, while a positive CMA result was detected in 308 (39.8%) cases. The rate of full or partial concordance between NIPS and CMA was 82.2%, 59.6% and 25.0% for trisomies 21, 18 and 13, respectively. For rare aneuploidies and segmental imbalances, NIPS and CMA results were fully or partially concordant in 7.5% and 33.3% of cases, respectively. Copy-number variants < 5 Mb were detected more often by CMA, with an incidence of 7.9% (61/774) compared with 3.1% (24/774) by NIPS. A genetic aberration was detected by CMA in 1 in 17 (5.8%) high-risk pregnancies that had a negative or non-reportable NIPS result. CONCLUSION CMA allows for comprehensive detection of genome-wide chromosomal abnormalities in high-risk pregnancies. CMA should be offered instead of expanded NIPS for high-risk pregnancies. Copyright © 2020 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- X Zhu
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, SAR, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - M Chen
- Department of Fetal Medicine and Prenatal Diagnosis, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - H Wang
- Department of Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Guangdong, China
| | - Y Guo
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - M H K Chau
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, SAR, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - H Yan
- Department of Fetal Medicine and Prenatal Diagnosis, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Y Cao
- Department of Obstetrics and 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, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Y K Y Kwok
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - J Chen
- Department of Fetal Medicine and Prenatal Diagnosis, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - A S Y Hui
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - R Zhang
- Department of Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Guangdong, China
| | - Z Meng
- Department of Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Guangdong, China
| | - Y Zhu
- Department of Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Guangdong, China
| | - T Y Leung
- Department of Obstetrics and 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, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - L Xiong
- Department of Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Guangdong, China
| | - X Kong
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - K W Choy
- Department of Obstetrics and 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, The Chinese University of Hong Kong, Hong Kong, SAR, China
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21
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Yu MHC, Chau JFT, Au SLK, Lo HM, Yeung KS, Fung JLF, Mak CCY, Chung CCY, Chan KYK, Chung BHY, Kan ASY. Evaluating the Clinical Utility of Genome Sequencing for Cytogenetically Balanced Chromosomal Abnormalities in Prenatal Diagnosis. Front Genet 2021; 11:620162. [PMID: 33584815 PMCID: PMC7873444 DOI: 10.3389/fgene.2020.620162] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 12/21/2020] [Indexed: 11/13/2022] Open
Abstract
Balanced chromosomal abnormalities (BCAs) are changes in the localization or orientation of a chromosomal segment without visible gain or loss of genetic material. BCAs occur at a frequency of 1 in 500 newborns and are associated with an increased risk of multiple congenital anomalies and/or neurodevelopmental disorders, especially if it is a de novo mutation. In this pilot project, we used short read genome sequencing (GS) to retrospectively re-sequence ten prenatal subjects with de novo BCAs and compared the performance of GS with the original karyotyping. GS characterized all BCAs found by conventional karyotyping with the added benefit of precise sub-band delineation. By identifying BCA breakpoints at the nucleotide level using GS, we found disruption of OMIM genes in three cases and identified cryptic gain/loss at the breakpoints in two cases. Of these five cases, four cases reached a definitive genetic diagnosis while the other one case had a BCA interpreted as unknown clinical significance. The additional information gained from GS can change the interpretation of the BCAs and has the potential to improve the genetic counseling and perinatal management by providing a more specific genetic diagnosis. This demonstrates the added clinical utility of using GS for the diagnosis of BCAs.
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Affiliation(s)
- Mullin Ho Chung Yu
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Jeffrey Fong Ting Chau
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Sandy Leung Kuen Au
- Department of Obstetrics and Gynaecology, The University of Hong Kong, Hong Kong, China
| | - Hei Man Lo
- Department of Obstetrics and Gynaecology, The University of Hong Kong, Hong Kong, China
| | - Kit San Yeung
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Jasmine Lee Fong Fung
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Christopher Chun Yu Mak
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Claudia Ching Yan Chung
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kelvin Yuen Kwong Chan
- Department of Obstetrics and Gynaecology, The University of Hong Kong, Hong Kong, China.,Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong, China.,Prenatal Diagnostic Laboratory, Department of Obstetrics and Gynaecology, Tsan Yuk Hospital, Hong Kong, China
| | - Brian Hon Yin Chung
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Anita Sik Yau Kan
- Department of Obstetrics and Gynaecology, The University of Hong Kong, Hong Kong, China.,Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong, China.,Prenatal Diagnostic Laboratory, Department of Obstetrics and Gynaecology, Tsan Yuk Hospital, Hong Kong, China
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22
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Li R, Wang J, Gu A, Xu Y, Guo J, Pan J, Zeng Y, Ma Y, Zhou C, Xu Y. Feasibility study of using unbalanced embryos as a reference to distinguish euploid carrier from noncarrier embryos by single nucleotide polymorphism array for reciprocal translocations. Prenat Diagn 2021; 41:681-689. [PMID: 33411373 DOI: 10.1002/pd.5897] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 12/24/2020] [Accepted: 12/30/2020] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To study the feasibility of using unbalanced embryos as a reference in distinguishing euploid carrier and noncarrier embryos by single nucleotide polymorphism (SNP) array-based preimplantation genetic testing (PGT) for reciprocal translocations. METHODS After comprehensive chromosome screening (CCS), euploid embryos were identified as normal or carriers using a family member as a reference. Next, unbalanced embryos were used as a reference, and the results were compared with the previous ones. Karyotypes of transferred embryos were validated by prenatal diagnosis. RESULTS Of 995 embryos from 110 couples, 288 were found to be euploid. Using a family member as a reference, 142 and 144 embryos were tested to be euploid noncarrier and carrier respectively, and the remaining 2 embryos were undetermined. When unbalanced embryos were selected as references, all the results were consistent with the previous ones. A total of 107 embryos were transferred, resulting in 66 clinical pregnancies. Karyotypes of prenatal diagnosis were all in accordance with the results of tested embryos. CONCLUSIONS SNP array-based haplotyping is a rapid and effective way to distinguish between euploid carrier and noncarrier embryos. In case no family member is available as a reference, unbalanced embryos can be used for identification of euploid carrier and noncarrier embryos.
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Affiliation(s)
- Rong Li
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Jing Wang
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Ailing Gu
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yan Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Jing Guo
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Jiafu Pan
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Yanhong Zeng
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Yuanlin Ma
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Canquan Zhou
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Yanwen Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
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23
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Diverse Taxonomies for Diverse Chemistries: Enhanced Representation of Natural Product Metabolism in UniProtKB. Metabolites 2021; 11:metabo11010048. [PMID: 33445429 PMCID: PMC7827101 DOI: 10.3390/metabo11010048] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 01/05/2021] [Accepted: 01/07/2021] [Indexed: 01/28/2023] Open
Abstract
The UniProt Knowledgebase UniProtKB is a comprehensive, high-quality, and freely accessible resource of protein sequences and functional annotation that covers genomes and proteomes from tens of thousands of taxa, including a broad range of plants and microorganisms producing natural products of medical, nutritional, and agronomical interest. Here we describe work that enhances the utility of UniProtKB as a support for both the study of natural products and for their discovery. The foundation of this work is an improved representation of natural product metabolism in UniProtKB using Rhea, an expert-curated knowledgebase of biochemical reactions, that is built on the ChEBI (Chemical Entities of Biological Interest) ontology of small molecules. Knowledge of natural products and precursors is captured in ChEBI, enzyme-catalyzed reactions in Rhea, and enzymes in UniProtKB/Swiss-Prot, thereby linking chemical structure data directly to protein knowledge. We provide a practical demonstration of how users can search UniProtKB for protein knowledge relevant to natural products through interactive or programmatic queries using metabolite names and synonyms, chemical identifiers, chemical classes, and chemical structures and show how to federate UniProtKB with other data and knowledge resources and tools using semantic web technologies such as RDF and SPARQL. All UniProtKB data are freely available for download in a broad range of formats for users to further mine or exploit as an annotation source, to enrich other natural product datasets and databases.
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24
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Zhang YX, Chen JJ, Nabu S, Yeung QSY, Li Y, Tan JH, Suksalak W, Chanchamroen S, Quangkananurug W, Wong PS, Chung JPW, Choy KW. The Pregnancy Outcome of Mosaic Embryo Transfer: A Prospective Multicenter Study and Meta-Analysis. Genes (Basel) 2020; 11:E973. [PMID: 32825792 PMCID: PMC7565393 DOI: 10.3390/genes11090973] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 11/28/2022] Open
Abstract
Chromosomal mosaicism is at high occurrence in early developmental-stage embryos, but much lower in those at prenatal stage. Recent studies provided evidence on the viability of mosaic embryos by reporting pregnancy outcomes. Expanded research is warranted to evaluate its clinical significance. This is a multi-center prospective cohort study on 137 mosaic, 476 euploid and 835 non-preimplantation genetic testing (non-PGT) embryos from three in vitro fertilization (IVF) providers of three countries in Asia, applying the same preimplantation genetic testing for aneuploidies (PGT-A) reporting criteria. Mosaic embryo transfers (METs) resulted in a significantly lower clinical pregnancy rate (40.1% versus 59.0% versus 48.4%), lower ongoing/live birth rate (27.1% versus 47.0% versus 35.1%) and higher miscarriage rate (33.3% versus 20.5% versus 27.4%) than euploid and non-PGT transfers, respectively. Pregnancy losses after METs were different between embryos carrying numerical and segmental chromosomal abnormalities (p = 0.04). Our meta-analysis concluded that METs gave rise to pregnancies but were associated with a reduced ongoing/live birth rate and a higher miscarriage rate. All 37 MET live births were confirmed viable, among which 8 completed prenatal genetic testing with normal results. Longitudinal investigation on one MET pregnancy evidenced the aneuploidy depletion hypothesis. This is the first multi-center prospective study reporting a full MET pregnancy outcome with complementary information from prenatal genetic testing as compared to euploid and non-PGT cohorts.
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Affiliation(s)
- Ying Xin Zhang
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong 999077, China; (Y.X.Z.); (Q.S.Y.Y.); (Y.L.); (J.P.W.C.)
| | - Jang Jih Chen
- Sunfert International Fertility Centre Sdn. Bhd, Kuala Lumpur 59200, Malaysia; (J.J.C.); (J.H.T.); (P.S.W.)
| | - Sunanta Nabu
- Safe Fertility Center Co. Ltd., Bangkok 10330, Thailand; (S.N.); (W.S.); (S.C.); (W.Q.)
| | - Queenie Sum Yee Yeung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong 999077, China; (Y.X.Z.); (Q.S.Y.Y.); (Y.L.); (J.P.W.C.)
| | - Ying Li
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong 999077, China; (Y.X.Z.); (Q.S.Y.Y.); (Y.L.); (J.P.W.C.)
| | - Jia Hui Tan
- Sunfert International Fertility Centre Sdn. Bhd, Kuala Lumpur 59200, Malaysia; (J.J.C.); (J.H.T.); (P.S.W.)
| | - Wanwisa Suksalak
- Safe Fertility Center Co. Ltd., Bangkok 10330, Thailand; (S.N.); (W.S.); (S.C.); (W.Q.)
| | - Sujin Chanchamroen
- Safe Fertility Center Co. Ltd., Bangkok 10330, Thailand; (S.N.); (W.S.); (S.C.); (W.Q.)
| | - Wiwat Quangkananurug
- Safe Fertility Center Co. Ltd., Bangkok 10330, Thailand; (S.N.); (W.S.); (S.C.); (W.Q.)
| | - Pak Seng Wong
- Sunfert International Fertility Centre Sdn. Bhd, Kuala Lumpur 59200, Malaysia; (J.J.C.); (J.H.T.); (P.S.W.)
| | - Jacqueline Pui Wah Chung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong 999077, China; (Y.X.Z.); (Q.S.Y.Y.); (Y.L.); (J.P.W.C.)
| | - Kwong Wai Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong 999077, China; (Y.X.Z.); (Q.S.Y.Y.); (Y.L.); (J.P.W.C.)
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25
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Deciphering the complexity of simple chromosomal insertions by genome sequencing. Hum Genet 2020; 140:361-380. [PMID: 32728808 DOI: 10.1007/s00439-020-02210-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 07/22/2020] [Indexed: 10/23/2022]
Abstract
Chromosomal insertions are thought to be rare structural rearrangements. The current understanding of the underlying mechanisms of their origin is still limited. In this study, we sequenced 16 cases with apparent simple insertions previously identified by karyotyping and/or chromosomal microarray analysis. Using mate-pair genome sequencing (GS), we identified all 16 insertions and revised previously designated karyotypes in 75.0% (12/16) of the cases. Additional cryptic rearrangements were identified in 68.8% of the cases (11/16). The incidence of additional cryptic rearrangements in chromosomal insertions was significantly higher compared to balanced translocations and inversions reported in other studies by GS. We characterized and classified the cryptic insertion rearrangements into four groups, which were not mutually exclusive: (1) insertion segments were fragmented and their subsegments rearranged and clustered at the insertion site (10/16, 62.5%); (2) one or more cryptic subsegments were not inserted into the insertion site (5/16, 31.3%); (3) segments of the acceptor chromosome were scattered and rejoined with the insertion segments (2/16, 12.5%); and (4) copy number gains were identified in the flanking regions of the insertion site (2/16, 12.5%). In addition to the observation of these chromothripsis- or chromoanasynthesis-like events, breakpoint sequence analysis revealed microhomology to be the predominant feature. However, no significant correlation was found between the number of cryptic rearrangements and the size of the insertion. Overall, our study provide molecular characterization of karyotypically apparent simple insertions, demonstrate previously underappreciated complexities, and evidence that chromosomal insertions are likely formed by nonhomologous end joining and/or microhomology-mediated replication-based DNA repair.
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Wang H, Dong Z, Zhang R, Chau MHK, Yang Z, Tsang KYC, Wong HK, Gui B, Meng Z, Xiao K, Zhu X, Wang Y, Chen S, Leung TY, Cheung SW, Kwok YK, Morton CC, Zhu Y, Choy KW. Low-pass genome sequencing versus chromosomal microarray analysis: implementation in prenatal diagnosis. Genet Med 2020; 22:500-510. [PMID: 31447483 PMCID: PMC7042067 DOI: 10.1038/s41436-019-0634-7] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 07/26/2019] [Indexed: 11/12/2022] Open
Abstract
PURPOSE Emerging studies suggest that low-pass genome sequencing (GS) provides additional diagnostic yield of clinically significant copy-number variants (CNVs) compared with chromosomal microarray analysis (CMA). However, a prospective back-to-back comparison evaluating accuracy, efficacy, and incremental yield of low-pass GS compared with CMA is warranted. METHODS A total of 1023 women undergoing prenatal diagnosis were enrolled. Each sample was subjected to low-pass GS and CMA for CNV analysis in parallel. CNVs were classified according to guidelines of the American College of Medical Genetics and Genomics. RESULTS Low-pass GS not only identified all 124 numerical disorders or pathogenic or likely pathogenic (P/LP) CNVs detected by CMA in 121 cases (11.8%, 121/1023), but also defined 17 additional and clinically relevant P/LP CNVs in 17 cases (1.7%, 17/1023). In addition, low-pass GS significantly reduced the technical repeat rate from 4.6% (47/1023) for CMA to 0.5% (5/1023) and required less DNA (50 ng) as input. CONCLUSION In the context of prenatal diagnosis, low-pass GS identified additional and clinically significant information with enhanced resolution and increased sensitivity of detecting mosaicism as compared with the CMA platform used. This study provides strong evidence for applying low-pass GS as an alternative prenatal diagnostic test.
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Affiliation(s)
- Huilin Wang
- Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Zirui Dong
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Rui Zhang
- Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Matthew Hoi Kin Chau
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Zhenjun Yang
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Kathy Yin Ching Tsang
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Hoi Kin Wong
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Baoheng Gui
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Zhuo Meng
- Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Kelin Xiao
- Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Xiaofan Zhu
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Yanfang Wang
- Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Shaoyun Chen
- Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Tak Yeung Leung
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, 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
| | - Sau Wai Cheung
- The Chinese University of Hong Kong-Baylor College of Medicine Joint Center For Medical Genetics, Hong Kong, China
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Yvonne K Kwok
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Cynthia C Morton
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
- Manchester Center for Audiology and Deafness, University of Manchester, Manchester Academic Health Science Center, Manchester, UK.
| | - Yuanfang Zhu
- Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China.
| | - Kwong Wai Choy
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, 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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Kaya M, Bağatır Ozan G, Çefle K, Öztürk Ş, Palanduz Ş. De novo t(1;6)(p13p21.3) Dengeli Resiprokal Translokasyonun İnfertilite ile İlişkisi. DÜZCE ÜNIVERSITESI SAĞLIK BILIMLERI ENSTITÜSÜ DERGISI 2020. [DOI: 10.33631/duzcesbed.556258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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28
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Dong Z, Zhao X, Li Q, Yang Z, Xi Y, Alexeev A, Shen H, Wang O, Ruan J, Ren H, Wei H, Qi X, Li J, Zhu X, Zhang Y, Dai P, Kong X, Kirkconnell K, Alferov O, Giles S, Yamtich J, Kermani BG, Dong C, Liu P, Mi Z, Zhang W, Xu X, Drmanac R, Choy KW, Jiang Y. Development of coupling controlled polymerizations by adapter-ligation in mate-pair sequencing for detection of various genomic variants in one single assay. DNA Res 2020; 26:313-325. [PMID: 31173071 PMCID: PMC6704401 DOI: 10.1093/dnares/dsz011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 05/07/2019] [Indexed: 12/17/2022] Open
Abstract
The diversity of disease presentations warrants one single assay for detection and delineation of various genomic disorders. Herein, we describe a gel-free and biotin-capture-free mate-pair method through coupling Controlled Polymerizations by Adapter-Ligation (CP-AL). We first demonstrated the feasibility and ease-of-use in monitoring DNA nick translation and primer extension by limiting the nucleotide input. By coupling these two controlled polymerizations by a reported non-conventional adapter-ligation reaction 3′ branch ligation, we evidenced that CP-AL significantly increased DNA circularization efficiency (by 4-fold) and was applicable for different sequencing methods but at a faction of current cost. Its advantages were further demonstrated by fully elimination of small-insert-contaminated (by 39.3-fold) with a ∼50% increment of physical coverage, and producing uniform genome/exome coverage and the lowest chimeric rate. It achieved single-nucleotide variants detection with sensitivity and specificity up to 97.3 and 99.7%, respectively, compared with data from small-insert libraries. In addition, this method can provide a comprehensive delineation of structural rearrangements, evidenced by a potential diagnosis in a patient with oligo-atheno-terato-spermia. Moreover, it enables accurate mutation identification by integration of genomic variants from different aberration types. Overall, it provides a potential single-integrated solution for detecting various genomic variants, facilitating a genetic diagnosis in human diseases.
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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, China
| | - Xia Zhao
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- MGI, BGI-Shenzhen, Shenzhen, China
| | - Qiaoling Li
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- MGI, BGI-Shenzhen, Shenzhen, China
| | - Zhenjun Yang
- 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
| | - Yang Xi
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- MGI, BGI-Shenzhen, Shenzhen, China
| | | | - Hanjie Shen
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- MGI, BGI-Shenzhen, Shenzhen, China
| | - Ou Wang
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Jie Ruan
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Han Ren
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | | | - Xiaojuan Qi
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Jiguang Li
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- MGI, BGI-Shenzhen, Shenzhen, China
| | - Xiaofan Zhu
- 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
| | | | - Peng Dai
- Genetics and Prenatal Diagnosis Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiangdong Kong
- Genetics and Prenatal Diagnosis Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | | | | | | | | | - Chao Dong
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Pengjuan Liu
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- MGI, BGI-Shenzhen, Shenzhen, China
| | - Zilan Mi
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Wenwei Zhang
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- Guangdong High-Throughput Sequencing Research Center, Shenzhen, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- James D. Watson Institute of Genome Sciences, Hangzhou, China
| | - Radoje Drmanac
- BGI-Shenzhen, Shenzhen, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, China
- MGI, BGI-Shenzhen, Shenzhen, China
- Complete Genomics Inc., San Jose, CA, USA
- To whom correspondence should be addressed. Tel. +1 4086482560 3079. Fax. +1 4086482549. (Y.J.); Tel. +852 35053099. Fax. +852 26360008. (K.W.C.); Tel. +1 4088389539. Fax. +1 4086482549. (R.D.)
| | - 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
- The Chinese University of Hong Kong—Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
- To whom correspondence should be addressed. Tel. +1 4086482560 3079. Fax. +1 4086482549. (Y.J.); Tel. +852 35053099. Fax. +852 26360008. (K.W.C.); Tel. +1 4088389539. Fax. +1 4086482549. (R.D.)
| | - Yuan Jiang
- Complete Genomics Inc., San Jose, CA, USA
- To whom correspondence should be addressed. Tel. +1 4086482560 3079. Fax. +1 4086482549. (Y.J.); Tel. +852 35053099. Fax. +852 26360008. (K.W.C.); Tel. +1 4088389539. Fax. +1 4086482549. (R.D.)
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29
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Dong Z, Yan J, Xu F, Yuan J, Jiang H, Wang H, Chen H, Zhang L, Ye L, Xu J, Shi Y, Yang Z, Cao Y, Chen L, Li Q, Zhao X, Li J, Chen A, Zhang W, Wong HG, Qin Y, Zhao H, Chen Y, Li P, Ma T, Wang WJ, Kwok YK, Jiang Y, Pursley AN, Chung JPW, Hong Y, Kristiansen K, Yang H, Piña-Aguilar RE, Leung TY, Cheung SW, Morton CC, Choy KW, Chen ZJ. Genome Sequencing Explores Complexity of Chromosomal Abnormalities in Recurrent Miscarriage. Am J Hum Genet 2019; 105:1102-1111. [PMID: 31679651 DOI: 10.1016/j.ajhg.2019.10.003] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 10/03/2019] [Indexed: 11/27/2022] Open
Abstract
Recurrent miscarriage (RM) affects millions of couples globally, and half of them have no demonstrated etiology. Genome sequencing (GS) is an enhanced and novel cytogenetic tool to define the contribution of chromosomal abnormalities in human diseases. In this study we evaluated its utility in RM-affected couples. We performed low-pass GS retrospectively for 1,090 RM-affected couples, all of whom had routine chromosome analysis. A customized sequencing and interpretation pipeline was developed to identify chromosomal rearrangements and deletions/duplications with confirmation by fluorescence in situ hybridization, chromosomal microarray analysis, and PCR studies. Low-pass GS yielded results in 1,077 of 1,090 couples (98.8%) and detected 127 chromosomal abnormalities in 11.7% (126/1,077) of couples; both members of one couple were identified with inversions. Of the 126 couples, 39.7% (50/126) had received former diagnostic results by karyotyping characteristic of normal human male or female karyotypes. Low-pass GS revealed additional chromosomal abnormalities in 50 (4.0%) couples, including eight with balanced translocations and 42 inversions. Follow-up studies of these couples showed a higher miscarriage/fetal-anomaly rate of 5/10 (50%) compared to 21/93 (22.6%) in couples with normal GS, resulting in a relative risk of 2.2 (95% confidence interval, 1.1 to 4.6). In these couples, this protocol significantly increased the diagnostic yield of chromosomal abnormalities per couple (11.7%) in comparison to chromosome analysis (8.0%, chi-square test p = 0.000751). In summary, low-pass GS identified underlying chromosomal aberrations in 1 in 9 RM-affected couples, enabling identification of a subgroup of couples with increased risk of subsequent miscarriage who would benefit from a personalized intervention.
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Affiliation(s)
- Zirui Dong
- Centre for Reproductive Medicine, Shandong University, Jinan 250021, China; BGI-Shenzhen, Shenzhen 518083, China; Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
| | - Junhao Yan
- Centre for Reproductive Medicine, Shandong University, Jinan 250021, China; The Key laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan 250021, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan 250021, China
| | - Fengping Xu
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Jianying Yuan
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Hui Jiang
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Huilin Wang
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China; Department of Central Laboratory, Bao'an Maternity and Child Healthcare Hospital Affiliated to Jinan University School of Medicine, Shenzhen, 518133, China
| | - Haixiao Chen
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Lei Zhang
- Centre for Reproductive Medicine, Shandong University, Jinan 250021, China; The Key laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan 250021, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan 250021, China
| | - Lingfei Ye
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Jinjin Xu
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Yuhua Shi
- Centre for Reproductive Medicine, Shandong University, Jinan 250021, China; The Key laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan 250021, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan 250021, China
| | - Zhenjun Yang
- BGI-Shenzhen, Shenzhen 518083, China; Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Ye Cao
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
| | - Lingyun Chen
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Qiaoling Li
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Xia Zhao
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Jiguang Li
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Ao Chen
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Wenwei Zhang
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Hoi Gin Wong
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
| | - Yingying Qin
- Centre for Reproductive Medicine, Shandong University, Jinan 250021, China; The Key laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan 250021, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan 250021, China
| | - Han Zhao
- Centre for Reproductive Medicine, Shandong University, Jinan 250021, China; The Key laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan 250021, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan 250021, China
| | - Yuan Chen
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Pei Li
- BGI-Shenzhen, Shenzhen 518083, China
| | - Tao Ma
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Wen-Jing Wang
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China
| | - Yvonne K Kwok
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
| | - Yuan Jiang
- BGI-Shenzhen, Shenzhen 518083, China; Complete Genomics, Mountain View, CA 95134, USA
| | - Amber N Pursley
- Department of Molecular and Cellar Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jacqueline P W Chung
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yan Hong
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, China
| | - Karsten Kristiansen
- BGI-Shenzhen, Shenzhen 518083, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen 518083, China; China National Genebank, BGI-Shenzhen, Shenzhen 518120, China; James D. Watson Institute of Genome Sciences, Hangzhou 310008, China
| | - Raul E Piña-Aguilar
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Tak Yeung Leung
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center For Medical Genetics, Hong Kong, China; Hong Kong Branches of Chinese National Engineering Research Centers - Center for Assisted Reproductive Technology and Reproductive Genetics, Hong Kong, China
| | - Sau Wai Cheung
- Department of Molecular and Cellar Biology, Baylor College of Medicine, Houston, TX 77030, USA; 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; Harvard Medical School, Boston, MA 02115, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Brigham and Women's Hospital, Boston, MA 02115, USA; Manchester Centre for Audiology and Deafness, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9NT, UK
| | - Kwong Wai Choy
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center For Medical Genetics, Hong Kong, China; Hong Kong Branches of Chinese National Engineering Research Centers - Center for Assisted Reproductive Technology and Reproductive Genetics, Hong Kong, China.
| | - Zi-Jiang Chen
- Centre for Reproductive Medicine, Shandong University, Jinan 250021, China; The Key laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan 250021, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan 250021, China; Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200135, China; Hong Kong Branches of Chinese National Engineering Research Centers - Center for Assisted Reproductive Technology and Reproductive Genetics, Hong Kong, China.
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30
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Dai Z, Li T, Li J, Han Z, Pan Y, Tang S, Diao X, Luo M. High-throughput long paired-end sequencing of a Fosmid library by PacBio. PLANT METHODS 2019; 15:142. [PMID: 31788019 PMCID: PMC6878638 DOI: 10.1186/s13007-019-0525-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 11/12/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Large insert paired-end sequencing technologies are important tools for assembling genomes, delineating associated breakpoints and detecting structural rearrangements. To facilitate the comprehensive detection of inter- and intra-chromosomal structural rearrangements or variants (SVs) and complex genome assembly with long repeats and segmental duplications, we developed a new method based on single-molecule real-time synthesis sequencing technology for generating long paired-end sequences of large insert DNA libraries. RESULTS A Fosmid vector, pHZAUFOS3, was developed with the following new features: (1) two 18-bp non-palindromic I-SceI sites flank the cloning site, and another two sites are present in the skeleton of the vector, allowing long DNA inserts (and the long paired-ends in this paper) to be recovered as single fragments and the vector (~ 8 kb) to be fragmented into 2-3 kb fragments by I-SceI digestion and therefore was effectively removed from the long paired-ends (5-10 kb); (2) the chloramphenicol (Cm) resistance gene and replicon (oriV), necessary for colony growth, are located near the two sides of the cloning site, helping to increase the proportion of the paired-end fragments to single-end fragments in the paired-end libraries. Paired-end libraries were constructed by ligating the size-selected, mechanically sheared pooled Fosmid DNA fragments to the Ampicillin (Amp) resistance gene fragment and screening the colonies with Cm and Amp. We tested this method on yeast and Setaria italica Yugu1. Fosmid-size paired-ends with an average length longer than 2 kb for each end were generated. The N50 scaffold lengths of the de novo assemblies of the yeast and S. italica Yugu1 genomes were significantly improved. Five large and five small structural rearrangements or assembly errors spanning tens of bp to tens of kb were identified in S. italica Yugu1 including deletions, inversions, duplications and translocations. CONCLUSIONS We developed a new method for long paired-end sequencing of large insert libraries, which can efficiently improve the quality of de novo genome assembly and identify large and small structural rearrangements or assembly errors.
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Affiliation(s)
- Zhaozhao Dai
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Tong Li
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Jiadong Li
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Zhifei Han
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Yonglong Pan
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Sha Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 10081 China
| | - Xianmin Diao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 10081 China
| | - Meizhong Luo
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
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31
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Chau MHK, Cao Y, Kwok YKY, Chan S, Chan YM, Wang H, Yang Z, Wong HK, Leung TY, Choy KW. Characteristics and mode of inheritance of pathogenic copy number variants in prenatal diagnosis. Am J Obstet Gynecol 2019; 221:493.e1-493.e11. [PMID: 31207233 DOI: 10.1016/j.ajog.2019.06.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 06/05/2019] [Accepted: 06/07/2019] [Indexed: 12/01/2022]
Abstract
BACKGROUND Microdeletions and microduplications can occur in any pregnancy independent of maternal age. The spectrum and features of pathogenic copy number variants including the size, genomic distribution, and mode of inheritance are not well studied. These characteristics have important clinical implications regarding expanding noninvasive prenatal screening for microdeletions and microduplications. OBJECTIVES The aim was to investigate the spectrum and characteristics of pathogenic copy number variants in prenatal genetic diagnosis and to provide recommendations for expanding the scope of noninvasive prenatal screening for microdeletions and microduplications. STUDY DESIGN This was a retrospective study of 1510 pregnant women who underwent invasive prenatal diagnostic testing by chromosomal microarray analysis. Prenatal samples were retrieved by amniocentesis or chorionic villus sampling and sent to our prenatal genetic diagnosis laboratory for chromosomal microarray analysis. The risk of carrying a fetus with pathogenic copy number variants is stratified by the patients' primary indication for invasive testing. We searched the literature for published prenatal chromosomal microarray data to generate a large cohort of 23,865 fetuses. The characteristics and spectrum of pathogenic copy number variants including the type of aberrations (gains or losses), genomic loci, sizes, and the mode of inheritance were studied. RESULTS Overall, 375 of 23,865 fetuses (1.6%) carried pathogenic copy number variants for any indication for invasive testing, and 44 of them (11.7%) involve 2 or more pathogenic copy number variants. A total of 428 pathogenic copy number variants were detected in these fetuses, of which 280 were deletions and 148 were duplications. Three hundred sixty (84.1%) were less than 5 Mb in size and 68 (15.9%) were between 5 and 10 Mb. The incidence of carrying a pathogenic copy number variant in the high-risk group is 1 in 36 and the low-risk group is 1 in 125. Parental inheritance study results were available for 311 pathogenic copy number variants, 71 (22.8%) were maternally inherited, 36 (11.6%) were paternally inherited, and 204 (65.6%) occurred de novo. CONCLUSION Collectively, pathogenic copy number variants are common in pregnancies. High-risk pregnancies should be offered invasive testing with chromosomal microarray analysis for the most comprehensive investigation. Detection limits on size, parental inheritance, and genomic distribution should be carefully considered before implementing copy number variant screening in expanded noninvasive prenatal screening.
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Affiliation(s)
- Matthew Hoi Kin Chau
- Department of Obstetrics and Gynaecology, 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
| | - Yvonne Ka Yin Kwok
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Samantha Chan
- Warwick Medical School at the University of Warwick, Coventry, United Kingdom
| | - Yiu Man Chan
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Huilin Wang
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China; Department of Central Laboratory, Bao'an Maternity and Child Healthcare Hospital, Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research, and Transformation Team, Shenzhen, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Zhenjun Yang
- 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
| | - Hoi Kin Wong
- 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; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, 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, China; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China.
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32
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Ghavi-Helm Y. Functional Consequences of Chromosomal Rearrangements on Gene Expression: Not So Deleterious After All? J Mol Biol 2019; 432:665-675. [PMID: 31626801 DOI: 10.1016/j.jmb.2019.09.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 09/04/2019] [Accepted: 09/12/2019] [Indexed: 12/14/2022]
Abstract
Chromosomes are folded and organized into topologically associating domains (TADs) which provide a framework for the interaction of enhancers with the promoter of their target gene(s). Structural rearrangements observed during evolution or in disease contexts suggest that changes in genome organization strongly affect gene expression and can have drastic phenotypic effects. In this review, I will discuss how recent genomic engineering experiments reveal a more contrasted picture, suggesting that TADs are important but not always essential for gene expression regulation.
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Affiliation(s)
- Yad Ghavi-Helm
- Institut de Génomique Fonctionnelle de Lyon, Univ Lyon, CNRS UMR 5242, Ecole Normale Supérieure de Lyon, Université Claude Bernard Lyon 1, 46 Allée D'Italie, F-69364 Lyon, France.
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Choy KW, Wang H, Shi M, Chen J, Yang Z, Zhang R, Yan H, Wang Y, Chen S, Chau MHK, Cao Y, Chan OYM, Kwok YK, Zhu Y, Chen M, Leung TY, Dong Z. Prenatal Diagnosis of Fetuses With Increased Nuchal Translucency by Genome Sequencing Analysis. Front Genet 2019; 10:761. [PMID: 31475041 PMCID: PMC6706460 DOI: 10.3389/fgene.2019.00761] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 07/17/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Increased nuchal translucency (NT) is an important biomarker associated with increased risk of fetal structural anomalies. It is known to be contributed by a wide range of genetic etiologies from single-nucleotide variants to those affecting millions of base pairs. Currently, prenatal diagnosis is routinely performed by karyotyping and chromosomal microarray analysis (CMA); however, both of them have limited resolution. The diversity of the genetic etiologies warrants an integrated assay such as genome sequencing (GS) for comprehensive detection of genomic variants. Herein, we aim to evaluate the feasibility of applying GS in prenatal diagnosis for the fetuses with increased NT. Methods: We retrospectively applied GS (> 30-fold) for fetuses with increased NT (≥3.5 mm) who underwent routine prenatal diagnosis. Detection of single-nucleotide variants, copy number variants, and structural rearrangements was performed simultaneously, and the results were integrated for interpretation in accordance with the guidelines of the American College of Medical Genetics and Genomics. Pathogenic or likely pathogenic (P/LP) variants were selected for validation and parental confirmation, when available. Results: Overall, 50 fetuses were enrolled, including 34 cases with isolated increased NT and 16 cases with other fetal structural malformations. Routine CMA and karyotyping reported eight P/LP CNVs, yielding a diagnostic rate of 16.0% (8/50). In comparison, GS provided a twofold increase in diagnostic yield (32.0%, 16/50), including one mosaic turner syndrome, eight cases with microdeletions/microduplications, and seven cases with P/LP point mutations. Moreover, GS identified two cryptic insertions and two inversions. Follow-up study further demonstrated the potential pathogenicity of an apparently balanced insertion that disrupted an OMIM autosomal dominant disease-causing gene at the insertion site. Conclusions: Our study demonstrates that applying GS in fetuses with increased NT can comprehensively detect and delineate the various genomic variants that are causative to the diseases. Importantly, prenatal diagnosis by GS doubled the diagnostic yield compared with routine protocols. Given a comparable turnaround time and less DNA required, our study provides strong evidence to facilitate GS in prenatal diagnosis, particularly in fetuses with increased NT.
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Affiliation(s)
- Kwong Wai Choy
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, 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
| | - Huilin Wang
- Department of Central Laboratory, Bao'an Maternity and Child Healthcare Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Mengmeng Shi
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Jingsi Chen
- Department of Obstetrics and Gynecology, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhenjun Yang
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Rui Zhang
- Department of Central Laboratory, Bao'an Maternity and Child Healthcare Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Huanchen Yan
- Department of Obstetrics and Gynecology, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanfang Wang
- Department of Central Laboratory, Bao'an Maternity and Child Healthcare Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Shaoyun Chen
- Department of Central Laboratory, Bao'an Maternity and Child Healthcare Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Matthew Hoi Kin Chau
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Ye Cao
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States
| | - Olivia Y M Chan
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yvonne K Kwok
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yuanfang Zhu
- Department of Central Laboratory, Bao'an Maternity and Child Healthcare Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Min Chen
- Department of Obstetrics and Gynecology, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Tak Yeung Leung
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, 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
| | - Zirui Dong
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,Department of Obstetrics and Gynecology, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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34
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Bick D, Jones M, Taylor SL, Taft RJ, Belmont J. Case for genome sequencing in infants and children with rare, undiagnosed or genetic diseases. J Med Genet 2019; 56:783-791. [PMID: 31023718 PMCID: PMC6929710 DOI: 10.1136/jmedgenet-2019-106111] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 03/19/2019] [Indexed: 01/01/2023]
Abstract
Up to 350 million people worldwide suffer from a rare disease, and while the individual diseases are rare, in aggregate they represent a substantial challenge to global health systems. The majority of rare disorders are genetic in origin, with children under the age of five disproportionately affected. As these conditions are difficult to identify clinically, genetic and genomic testing have become the backbone of diagnostic testing in this population. In the last 10 years, next-generation sequencing technologies have enabled testing of multiple disease genes simultaneously, ranging from targeted gene panels to exome sequencing (ES) and genome sequencing (GS). GS is quickly becoming a practical first-tier test, as cost decreases and performance improves. A growing number of studies demonstrate that GS can detect an unparalleled range of pathogenic abnormalities in a single laboratory workflow. GS has the potential to deliver unbiased, rapid and accurate molecular diagnoses to patients across diverse clinical indications and complex presentations. In this paper, we discuss clinical indications for testing and historical testing paradigms. Evidence supporting GS as a diagnostic tool is supported by superior genomic coverage, types of pathogenic variants detected, simpler laboratory workflow enabling shorter turnaround times, diagnostic and reanalysis yield, and impact on healthcare.
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Affiliation(s)
- David Bick
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
| | - Marilyn Jones
- Rady Children's Hospital San Diego, San Diego, California, USA
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35
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Next generation sequencing in recurrent pregnancy loss-approaches and outcomes. Eur J Med Genet 2019; 63:103644. [PMID: 30991114 DOI: 10.1016/j.ejmg.2019.04.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/26/2019] [Accepted: 04/02/2019] [Indexed: 12/16/2022]
Abstract
Next generation sequencing (NGS) has revolutionized the diagnosis of postnatal genetic diseases, but so far has been used less frequently to study reproductive disorders. Here we provide an overview of approaches and outcomes of genome sequencing for identifying causes of recurrent pregnancy loss (RPL). This includes exome sequencing to look for pathogenic sequence changes in the whole exome or in a preselected list of genes considered important for early embryonic development and pregnancy maintenance, as well as low coverage whole genome sequencing useful for identifying cryptic balanced chromosome rearrangements and copy number variants (CNVs) in couples with RPL and miscarriages. For the purpose of this review only studies with at least 2 pregnancy losses were included with NGS performed on complete families, or only on miscarriages, couples or females with RPL. Overall, mutations in candidate genes responsible for recurrent embryonic/fetal loss were found in up to 60% of cases, opening the door for possible identification of affected future pregnancies at the preimplantation stage. Recurrence of specific mutations or affected genes in different studies was rare (e.g.DYNC2H1, KIF14, RYR1 and GLE1) however genes involved in cell division, cilia function or fetal movement were frequently identified as candidates, the later possibly reflecting the fact that a large number of studied cases had features of fetal akinesia deformation sequence (FADS). Genome sequencing of the couple and miscarriages is most informative, as it allows analysis of the individual mutations as well as their collective burden on the genome and biological processes. However genome sequencing of the couple with RPL with follow up of candidate parental mutations in miscarriages appears to be a promising avenue when miscarriage DNA amounts or quality are suboptimal for whole genome studies. In the future, increasing the number of studied families, establishment of a database cataloguing CNVs and mutations found in early pregnancy loss as well as their functional assessment in miscarriage cells and parental reproductive tissues is needed for improved understanding of their role in adverse pregnancy outcome.
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36
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Wang O, Chin R, Cheng X, Wu MKY, Mao Q, Tang J, Sun Y, Anderson E, Lam HK, Chen D, Zhou Y, Wang L, Fan F, Zou Y, Xie Y, Zhang RY, Drmanac S, Nguyen D, Xu C, Villarosa C, Gablenz S, Barua N, Nguyen S, Tian W, Liu JS, Wang J, Liu X, Qi X, Chen A, Wang H, Dong Y, Zhang W, Alexeev A, Yang H, Wang J, Kristiansen K, Xu X, Drmanac R, Peters BA. Efficient and unique cobarcoding of second-generation sequencing reads from long DNA molecules enabling cost-effective and accurate sequencing, haplotyping, and de novo assembly. Genome Res 2019; 29:798-808. [PMID: 30940689 PMCID: PMC6499310 DOI: 10.1101/gr.245126.118] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 03/21/2019] [Indexed: 01/25/2023]
Abstract
Here, we describe single-tube long fragment read (stLFR), a technology that enables sequencing of data from long DNA molecules using economical second-generation sequencing technology. It is based on adding the same barcode sequence to subfragments of the original long DNA molecule (DNA cobarcoding). To achieve this efficiently, stLFR uses the surface of microbeads to create millions of miniaturized barcoding reactions in a single tube. Using a combinatorial process, up to 3.6 billion unique barcode sequences were generated on beads, enabling practically nonredundant cobarcoding with 50 million barcodes per sample. Using stLFR, we demonstrate efficient unique cobarcoding of more than 8 million 20- to 300-kb genomic DNA fragments. Analysis of the human genome NA12878 with stLFR demonstrated high-quality variant calling and phase block lengths up to N50 34 Mb. We also demonstrate detection of complex structural variants and complete diploid de novo assembly of NA12878. These analyses were all performed using single stLFR libraries, and their construction did not significantly add to the time or cost of whole-genome sequencing (WGS) library preparation. stLFR represents an easily automatable solution that enables high-quality sequencing, phasing, SV detection, scaffolding, cost-effective diploid de novo genome assembly, and other long DNA sequencing applications.
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Affiliation(s)
- Ou Wang
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China.,Department of Biology, Laboratory of Genomics and Molecular Biomedicine, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Robert Chin
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Xiaofang Cheng
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Michelle Ka Yan Wu
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Qing Mao
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | | | - Yuhui Sun
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Ellis Anderson
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Han K Lam
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Dan Chen
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Yujun Zhou
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Linying Wang
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Fei Fan
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Yan Zou
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | | | - Rebecca Yu Zhang
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Snezana Drmanac
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Darlene Nguyen
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Chongjun Xu
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China.,Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Christian Villarosa
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Scott Gablenz
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Nina Barua
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Staci Nguyen
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Wenlan Tian
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Jia Sophie Liu
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Jingwan Wang
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Xiao Liu
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Xiaojuan Qi
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Ao Chen
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - He Wang
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Yuliang Dong
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Wenwei Zhang
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Andrei Alexeev
- Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou 310058, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou 310058, China
| | - Karsten Kristiansen
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China.,Department of Biology, Laboratory of Genomics and Molecular Biomedicine, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Radoje Drmanac
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China.,Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA.,MGI, BGI-Shenzhen, Shenzhen 518083, China
| | - Brock A Peters
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China.,Advanced Genomics Technology Laboratory, Complete Genomics Incorporated, San Jose, California 95134, USA.,MGI, BGI-Shenzhen, Shenzhen 518083, China
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37
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Schluth-Bolard C, Diguet F, Chatron N, Rollat-Farnier PA, Bardel C, Afenjar A, Amblard F, Amiel J, Blesson S, Callier P, Capri Y, Collignon P, Cordier MP, Coubes C, Demeer B, Chaussenot A, Demurger F, Devillard F, Doco-Fenzy M, Dupont C, Dupont JM, Dupuis-Girod S, Faivre L, Gilbert-Dussardier B, Guerrot AM, Houlier M, Isidor B, Jaillard S, Joly-Hélas G, Kremer V, Lacombe D, Le Caignec C, Lebbar A, Lebrun M, Lesca G, Lespinasse J, Levy J, Malan V, Mathieu-Dramard M, Masson J, Masurel-Paulet A, Mignot C, Missirian C, Morice-Picard F, Moutton S, Nadeau G, Pebrel-Richard C, Odent S, Paquis-Flucklinger V, Pasquier L, Philip N, Plutino M, Pons L, Portnoï MF, Prieur F, Puechberty J, Putoux A, Rio M, Rooryck-Thambo C, Rossi M, Sarret C, Satre V, Siffroi JP, Till M, Touraine R, Toutain A, Toutain J, Valence S, Verloes A, Whalen S, Edery P, Tabet AC, Sanlaville D. Whole genome paired-end sequencing elucidates functional and phenotypic consequences of balanced chromosomal rearrangement in patients with developmental disorders. J Med Genet 2019; 56:526-535. [PMID: 30923172 DOI: 10.1136/jmedgenet-2018-105778] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 01/30/2019] [Accepted: 02/20/2019] [Indexed: 11/04/2022]
Abstract
BACKGROUND Balanced chromosomal rearrangements associated with abnormal phenotype are rare events, but may be challenging for genetic counselling, since molecular characterisation of breakpoints is not performed routinely. We used next-generation sequencing to characterise breakpoints of balanced chromosomal rearrangements at the molecular level in patients with intellectual disability and/or congenital anomalies. METHODS Breakpoints were characterised by a paired-end low depth whole genome sequencing (WGS) strategy and validated by Sanger sequencing. Expression study of disrupted and neighbouring genes was performed by RT-qPCR from blood or lymphoblastoid cell line RNA. RESULTS Among the 55 patients included (41 reciprocal translocations, 4 inversions, 2 insertions and 8 complex chromosomal rearrangements), we were able to detect 89% of chromosomal rearrangements (49/55). Molecular signatures at the breakpoints suggested that DNA breaks arose randomly and that there was no major influence of repeated elements. Non-homologous end-joining appeared as the main mechanism of repair (55% of rearrangements). A diagnosis could be established in 22/49 patients (44.8%), 15 by gene disruption (KANSL1, FOXP1, SPRED1, TLK2, MBD5, DMD, AUTS2, MEIS2, MEF2C, NRXN1, NFIX, SYNGAP1, GHR, ZMIZ1) and 7 by position effect (DLX5, MEF2C, BCL11B, SATB2, ZMIZ1). In addition, 16 new candidate genes were identified. Systematic gene expression studies further supported these results. We also showed the contribution of topologically associated domain maps to WGS data interpretation. CONCLUSION Paired-end WGS is a valid strategy and may be used for structural variation characterisation in a clinical setting.
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Affiliation(s)
- Caroline Schluth-Bolard
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | - Flavie Diguet
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | - Nicolas Chatron
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | | | - Claire Bardel
- Cellule bioinformatique de la plateforme NGS, Hospices Civils de Lyon, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR5558, Lyon 1 University, Bron, France
| | - Alexandra Afenjar
- Département de génétique et embryologie médicale, Centre de référence des déficiences intellectuelles de causes rares, AP-HP, Hôpital Armand Trousseau, Paris, France.,GRC n°19, pathologies Congénitales du Cervelet-LeucoDystrophies, AP-HP, Hôpital Armand Trousseau, Sorbonne Université, Paris, France
| | - Florence Amblard
- Laboratoire de Génétique Chromosomique, Hôpital Couple Enfant, CHU Grenoble, Grenoble, France
| | - Jeanne Amiel
- Service de Génétique Médicale, Hôpital Necker-Enfants Malades, Paris, France
| | | | | | - Yline Capri
- Département de Génétique, Hôpital Robert Debré, Paris, France
| | | | | | - Christine Coubes
- Service de Génétique, Hôpital Arnaud de Villeneuve, Montpellier, France
| | - Benedicte Demeer
- Centre d'activité de génétique clinique, CLAD nord de France, CHU Amiens, Amiens, France
| | | | | | - Françoise Devillard
- Laboratoire de Génétique Chromosomique, Hôpital Couple Enfant, CHU Grenoble, Grenoble, France
| | | | - Céline Dupont
- Département de Génétique, Hôpital Robert Debré, Paris, France
| | - Jean-Michel Dupont
- Laboratoire de Cytogénétique Constitutionnelle, APHP-HUPC site Cochin, Paris, France
| | | | - Laurence Faivre
- Centre de référence anomalies du développement et syndromes malformatifs, FHU TRANSLAD et équipe GAD INSERM UMR1231, CHU Dijon-Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
| | | | | | - Marine Houlier
- Service de Génétique Médicale, Hôpital Necker-Enfants Malades, Paris, France
| | | | - Sylvie Jaillard
- Laboratoire de Cytogénétique et de Biologie Cellulaire, CHU Pontchaillou, Rennes, France
| | | | - Valérie Kremer
- Laboratoire de Cytogénétique, CHU Strasbourg, Strasbourg, France
| | - Didier Lacombe
- Service de Génétique Médicale, Hôpital Pellegrin, Université de Bordeaux, MRGM INSERM U1211, CHU Bordeaux, Bordeaux, France
| | | | - Aziza Lebbar
- Laboratoire de Cytogénétique Constitutionnelle, APHP-HUPC site Cochin, Paris, France
| | - Marine Lebrun
- Service de Génétique Clinique, Chromosomique et Moléculaire, CHU Hôpital Nord, Saint-Etienne, France
| | - Gaetan Lesca
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | - James Lespinasse
- Laboratoire de Génétique Chromosomique, CH Général, Chambéry, France
| | - Jonathan Levy
- Département de Génétique, Hôpital Robert Debré, Paris, France
| | - Valérie Malan
- Service de Cytogénétique, Hôpital Necker Enfants Malades, Paris, France
| | | | - Julie Masson
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | - Alice Masurel-Paulet
- Centre de référence anomalies du développement et syndromes malformatifs, FHU TRANSLAD et équipe GAD INSERM UMR1231, CHU Dijon-Bourgogne et Université de Bourgogne-Franche Comté, Dijon, France
| | - Cyril Mignot
- Département de Génétique; Centre de Référence Déficience Intellectuelle de Causes Rares, Groupe Hospitalier Pitié-Salpêtrière, APHP, Paris, France
| | - Chantal Missirian
- Laboratoire de Génétique Chromosomique, Département de Génétique Médicale, AP-HM, Marseille, France
| | - Fanny Morice-Picard
- Service de Génétique Médicale, Hôpital Pellegrin, Université de Bordeaux, MRGM INSERM U1211, CHU Bordeaux, Bordeaux, France
| | - Sébastien Moutton
- Service de Génétique Médicale, Hôpital Pellegrin, Université de Bordeaux, MRGM INSERM U1211, CHU Bordeaux, Bordeaux, France
| | - Gwenaël Nadeau
- Laboratoire de Génétique Chromosomique, CH Général, Chambéry, France.,Service de Cytogénétique, CH Valence, Valence, France
| | - Céline Pebrel-Richard
- Service de Cytogénétique Médicale, Hôpital Estaing, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Sylvie Odent
- Service de Génétique Clinique, CHU Rennes, Rennes, France.,CNRS, IGDR (Institut de Génétique et Développement de Rennes) UMR 6290, Université de Rennes, Rennes, France
| | | | | | - Nicole Philip
- Département de Génétique Médicale, Unité de Génétique Clinique, AP-HM, Marseille, France
| | | | - Linda Pons
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | - Marie-France Portnoï
- Département de génétique et embryologie médicale, Centre de référence des déficiences intellectuelles de causes rares, AP-HP, Hôpital Armand Trousseau, Paris, France
| | - Fabienne Prieur
- Service de Génétique Clinique, Chromosomique et Moléculaire, CHU Hôpital Nord, Saint-Etienne, France
| | | | - Audrey Putoux
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | - Marlène Rio
- Service de Génétique Médicale, Hôpital Necker-Enfants Malades, Paris, France
| | - Caroline Rooryck-Thambo
- Service de Génétique Médicale, Hôpital Pellegrin, Université de Bordeaux, MRGM INSERM U1211, CHU Bordeaux, Bordeaux, France
| | - Massimiliano Rossi
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | - Catherine Sarret
- Service de Génétique Médicale, Hôpital Estaing, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Véronique Satre
- Laboratoire de Génétique Chromosomique, Hôpital Couple Enfant, CHU Grenoble, Grenoble, France.,Equipe Génétique, Epigénétique et Thérapies de l'Infertilité, IAB, INSERM 1209, CNRS UMR5309, Grenoble, France
| | - Jean-Pierre Siffroi
- Département de génétique et embryologie médicale, Centre de référence des déficiences intellectuelles de causes rares, AP-HP, Hôpital Armand Trousseau, Paris, France
| | - Marianne Till
- Service de Génétique, Hospices Civils de Lyon, Bron, France
| | - Renaud Touraine
- Service de Génétique Clinique, Chromosomique et Moléculaire, CHU Hôpital Nord, Saint-Etienne, France
| | | | - Jérome Toutain
- Service de Génétique Médicale, Hôpital Pellegrin, Université de Bordeaux, MRGM INSERM U1211, CHU Bordeaux, Bordeaux, France
| | - Stéphanie Valence
- GRC n°19, pathologies Congénitales du Cervelet-LeucoDystrophies, AP-HP, Hôpital Armand Trousseau, Sorbonne Université, Paris, France.,Service de Neurologie Pédiatrique, Hôpital Armand Trousseau, APHP, GHUEP, Paris, France
| | - Alain Verloes
- Département de Génétique, Hôpital Robert Debré, Paris, France
| | - Sandra Whalen
- Département de génétique et embryologie médicale, Centre de référence des déficiences intellectuelles de causes rares, AP-HP, Hôpital Armand Trousseau, Paris, France
| | - Patrick Edery
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
| | | | - Damien Sanlaville
- Service de Génétique, Hospices Civils de Lyon, Bron, France.,INSERM U1028, CNRS UMR5292, UCBL1, GENDEV Team, Neurosciences Research Center of Lyon, Bron, France
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38
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Tzschach A. X-chromosomale Intelligenzminderung. MED GENET-BERLIN 2018. [DOI: 10.1007/s11825-018-0207-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Zusammenfassung
X-chromosomale Intelligenzminderung („X-linked intellectual disability“, XLID) ist eine heterogene Krankheitsgruppe; inzwischen sind mehr als 100 XLID-Gene identifiziert worden. Das Fragile-X-Syndrom mit CGG-Repeatexpansion in der 5’-UTR des FMR1-Gens ist die häufigste monogene Ursache für Intelligenzminderung. Weitere X‑chromosomale Gene mit vergleichsweise hohen Mutationsprävalenzen sind ATRX, RPS6KA3, GPC3, SLC16A2, SLC6A8 und ARX. Die Ursachen für XLID verteilen sich zu ca. 90 % auf molekulargenetisch nachweisbare Mutationen und zu ca. 10 % auf chromosomale Kopienzahlvarianten („copy-number variants“, CNVs). Häufige CNVs sind Duplikationen in Xq28 unter Einschluss von MECP2 sowie das Xp11.22-Duplikations-Syndrom mit Überexpression von HUWE1. Mit den aktuellen Untersuchungsmethoden kann bei ca. 10 % der männlichen Patienten mit Intelligenzminderung eine X‑chromosomale Ursache nachgewiesen werden. Neue Erkenntnisse zu XLID sind für die nächsten Jahre am ehesten in den nicht kodierenden Regionen zu erwarten, wo wahrscheinlich ein weiterer Teil der Ursachen für das bislang nicht vollständig erklärte Überwiegen männlicher Patienten zu suchen ist.
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Affiliation(s)
- Andreas Tzschach
- Aff1 0000 0001 2111 7257 grid.4488.0 Institut für Klinische Genetik Technische Universität Dresden Fetscherstr. 74 01307 Dresden Deutschland
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39
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Halgren C, Nielsen NM, Nazaryan-Petersen L, Silahtaroglu A, Collins RL, Lowther C, Kjaergaard S, Frisch M, Kirchhoff M, Brøndum-Nielsen K, Lind-Thomsen A, Mang Y, El-Schich Z, Boring CA, Mehrjouy MM, Jensen PK, Fagerberg C, Krogh LN, Hansen J, Bryndorf T, Hansen C, Talkowski ME, Bak M, Tommerup N, Bache I. Risks and Recommendations in Prenatally Detected De Novo Balanced Chromosomal Rearrangements from Assessment of Long-Term Outcomes. Am J Hum Genet 2018; 102:1090-1103. [PMID: 29805044 DOI: 10.1016/j.ajhg.2018.04.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 04/06/2018] [Indexed: 12/20/2022] Open
Abstract
The 6%-9% risk of an untoward outcome previously established by Warburton for prenatally detected de novo balanced chromosomal rearrangements (BCRs) does not account for long-term morbidity. We performed long-term follow-up (mean 17 years) of a registry-based nationwide cohort of 41 individuals carrying a prenatally detected de novo BCR with normal first trimester screening/ultrasound scan. We observed a significantly higher frequency of neurodevelopmental and/or neuropsychiatric disorders than in a matched control group (19.5% versus 8.3%, p = 0.04), which was increased to 26.8% upon clinical follow-up. Chromosomal microarray of 32 carriers revealed no pathogenic imbalances, illustrating a low prognostic value when fetal ultrasound scan is normal. In contrast, mate-pair sequencing revealed disrupted genes (ARID1B, NPAS3, CELF4), regulatory domains of known developmental genes (ZEB2, HOXC), and complex BCRs associated with adverse outcomes. Seven unmappable autosomal-autosomal BCRs with breakpoints involving pericentromeric/heterochromatic regions may represent a low-risk group. We performed independent phenotype-aware and blinded interpretation, which accurately predicted benign outcomes (specificity = 100%) but demonstrated relatively low sensitivity for prediction of the clinical outcome in affected carriers (sensitivity = 45%-55%). This sensitivity emphasizes the challenges associated with prenatal risk prediction for long-term morbidity in the absence of phenotypic data given the still immature annotation of the morbidity genome and poorly understood long-range regulatory mechanisms. In conclusion, we upwardly revise the previous estimates of Warburton to a morbidity risk of 27% and recommend sequencing of the chromosomal breakpoints as the first-tier diagnostic test in pregnancies with a de novo BCR.
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40
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Dong Z, Ye L, Yang Z, Chen H, Yuan J, Wang H, Guo X, Li Y, Wang J, Chen F, Cheung SW, Morton CC, Jiang H, Choy KW. Balanced Chromosomal Rearrangement Detection by Low-Pass Whole-Genome Sequencing. ACTA ACUST UNITED AC 2018; 96:8.18.1-8.18.16. [PMID: 29364520 DOI: 10.1002/cphg.51] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Balanced chromosomal rearrangements (or balanced chromosome abnormalities, BCAs) are common chromosomal structural variants. Emerging studies have demonstrated the feasibility of using whole-genome sequencing (WGS) for detection of BCA-associated breakpoints, but the requirement for a priori knowledge of the rearranged regions from G-banded chromosome analysis limits its application. The protocols described here are based on low-pass WGS for detecting BCA events independent from chromosome analysis, and has been validated using genomic data from the 1000 Genomes Project. This approach adopts non-size-selected mate-pair library (3∼8 kb) with 2∼3 μg DNA as input, and requires only 30 million read-pairs (50 bp, equivalent to 1-fold base-coverage) for each sample. The complete procedure takes 13 days and the total cost is estimated to be less than $600 (USD) per sample. © 2018 by John Wiley & Sons, Inc.
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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, China.,BGI-Shenzhen, Shenzhen, China
| | - Lingfei Ye
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Zhenjun Yang
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China.,School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Haixiao Chen
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Jianying Yuan
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Huilin Wang
- 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.,Department of Central Laboratory, Bao'an Maternity and Child Healthcare Hospital, Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China
| | - Xiaosen Guo
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Yun Li
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Jun Wang
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Fang Chen
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Sau Wai Cheung
- The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China.,Department of Molecular and Human Genetics, Baylor College of Medicine Houston, Texas
| | - Cynthia C Morton
- Departments of Pathology and of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester Academic Health Science Center, Manchester, United Kingdom
| | - Hui Jiang
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, 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.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong, China
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