1
|
Zhang Y, Du Q, Gao H, Pan Y, Liu N, Qiu C, Liu X. Prenatal risk assessment of Xp21.1 duplication involving the DMD gene by optical genome mapping. Life Sci Alliance 2024; 7:e202402780. [PMID: 39117454 PMCID: PMC11310561 DOI: 10.26508/lsa.202402780] [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: 04/18/2024] [Revised: 08/01/2024] [Accepted: 08/01/2024] [Indexed: 08/10/2024] Open
Abstract
Structural variants (SVs) of unknown significance are great challenges for prenatal risk assessment, especially when involving dose-sensitive genes such as DMD The pathogenicities of 5'-terminal DMD duplications in the database remain controversial. Four prenatal cases with Xp21.1 duplications were identified by routine prenatal genomic testing, encompassing the 5'-UTR to exons 1-2 in family 1 and family 2, and to exons 1-9 in family 3. The duplication in family 4 was non-contiguous covering the 5'-UTR to exon 1 and exons 3-7. All were traced to unaffected males in the family pedigrees. A new genome-wide approach of optical genome mapping was performed in families 1, 2, and 3 to delineate the breakpoints and orientation of the duplicated fragments. The extra copies were tandemly inserted into the upstream of DMD, preserving the integrity of ORF from the second copy. The pathogenicities were thus reclassified as likely benign. Our data highlight the importance of structural delineation by optical genome mapping in prenatal risk assessment of incidentally identified SVs involving DMD and other similar large dose-sensitive genes.
Collapse
Affiliation(s)
- Yuanyuan Zhang
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qiang Du
- Center of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Haiming Gao
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yujie Pan
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ningyang Liu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Chuang Qiu
- Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaoliang Liu
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Reproductive Health, Liaoning Research Institute of Reproductive Health and Development, Reproductive Hospital of China Medical University, Shenyang, China
| |
Collapse
|
2
|
Bürger O, Humbel A, Ivanovski I, Baumer A, Rauch A. Further evidence for an attenuated phenotype of in-frame DMD deletions affecting the central rod domain of dystrophin around exon 48. Am J Med Genet A 2024:e63842. [PMID: 39158144 DOI: 10.1002/ajmg.a.63842] [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: 12/08/2023] [Revised: 07/29/2024] [Accepted: 07/31/2024] [Indexed: 08/20/2024]
Abstract
Alterations in the X-linked recessive DMD gene cause dystrophinopathies with a broad clinical spectrum most commonly ranging from Duchenne muscular dystrophy (DMD) or Becker muscular dystrophy (BMD) to cardiomyopathy or intellectual disability. Carrier females are commonly unaffected but may show signs of dystrophinopathies. In addition, few asymptomatic male carriers with elevated creatine kinase levels have been described possibly related to deletions around exon 48. We now further support this assumed genotype-phenotype correlation by reporting an attenuated phenotype in a three-generation family with a deletion of exon 48 of the DMD gene with clinically unaffected carrier males and females. We confirmed deep intronic breakpoints in this family by genome sequencing, but such data are not available for published cases. Therefore, further observations are needed to clarify genotype-phenotype correlation in this region, since few reports also describe predicted in-frame copy number changes affecting this region in association with classical signs of dystrophinopathies.
Collapse
Affiliation(s)
- Olga Bürger
- Institute of Medical Genetics, University of Zurich, Schlieren, Switzerland
| | - Angelika Humbel
- Institute of Medical Genetics, University of Zurich, Schlieren, Switzerland
| | - Ivan Ivanovski
- Institute of Medical Genetics, University of Zurich, Schlieren, Switzerland
| | - Alessandra Baumer
- Institute of Medical Genetics, University of Zurich, Schlieren, Switzerland
| | - Anita Rauch
- Institute of Medical Genetics, University of Zurich, Schlieren, Switzerland
- Pediatric University Hospital Zurich, Zurich, Switzerland
| |
Collapse
|
3
|
Wang Y, Sun Y, Meng L, He Q, Zhao J, Zhou R, Wang Z, Tan J, Ma D, Fan L, Chen Y, Wang Y, Jiang Z, Qiao Z, Wu X, Shao B, Xue Y, Song L, Wang T, Hu P, Xu Z. A new strategy for prenatal genetic screening of copy number variations in the DMD gene: A large cohort study based on NIPT analysis. Clin Transl Med 2024; 14:e1706. [PMID: 38797938 PMCID: PMC11128712 DOI: 10.1002/ctm2.1706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Affiliation(s)
- Yan Wang
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | | | - Lulu Meng
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | - Quanze He
- Center for Reproduction and GeneticsThe Affiliated Suzhou Hospital of Nanjing Medical UniversitySuzhou Municipal Hospital, Gusu School, Nanjing Medical UniversitySuzhouChina
| | | | - Ran Zhou
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | | | - Jianxin Tan
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | - Dingyuan Ma
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | | | | | - Yuguo Wang
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | - Zhu Jiang
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | | | - Xiaojuan Wu
- Center for Reproduction and GeneticsThe Affiliated Suzhou Hospital of Nanjing Medical UniversitySuzhou Municipal Hospital, Gusu School, Nanjing Medical UniversitySuzhouChina
| | - Binbin Shao
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | - Ying Xue
- Center for Reproduction and GeneticsThe Affiliated Suzhou Hospital of Nanjing Medical UniversitySuzhou Municipal Hospital, Gusu School, Nanjing Medical UniversitySuzhouChina
| | | | - Ting Wang
- Center for Reproduction and GeneticsThe Affiliated Suzhou Hospital of Nanjing Medical UniversitySuzhou Municipal Hospital, Gusu School, Nanjing Medical UniversitySuzhouChina
| | - Ping Hu
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| | - Zhengfeng Xu
- Department of Prenatal DiagnosisWomen's Hospital of Nanjing Medical UniversityNanjing Women and Children's Healthcare HospitalNanjingChina
| |
Collapse
|
4
|
Parijs I, Brison N, Vancoillie L, Baetens M, Blaumeiser B, Boulanger S, Désir J, Dimitrov B, Fieremans N, Janssens K, Janssens S, Marichal A, Menten B, Meunier C, Van Berkel K, Van Den Bogaert A, Devriendt K, Van Den Bogaert K, Vermeesch JR. Population screening for 15q11-q13 duplications: corroboration of the difference in impact between maternally and paternally inherited alleles. Eur J Hum Genet 2024; 32:31-36. [PMID: 37029316 PMCID: PMC10772068 DOI: 10.1038/s41431-023-01336-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/28/2023] [Accepted: 03/09/2023] [Indexed: 04/09/2023] Open
Abstract
Maternally inherited 15q11-q13 duplications are generally found to cause more severe neurodevelopmental anomalies compared to paternally inherited duplications. However, this assessment is mainly inferred from the study of patient populations, causing an ascertainment bias towards patients at the more severe end of the phenotypic spectrum. Here, we analyze the low coverage genome-wide cell-free DNA sequencing data obtained from pregnant women during non-invasive prenatal screening (NIPS). We detect 23 15q11-q13 duplications in 333,187 pregnant women (0.0069%), with an approximately equal distribution between maternal and paternal duplications. Maternally inherited duplications are always associated with a clinical phenotype (ranging from learning difficulties to intellectual impairment, epilepsy and psychiatric disorders), while paternal duplications are normal or associated with milder phenotypes (mild learning difficulties and dyslexia). This data corroborates the difference in impact between paternally and maternally inherited 15q11-q13 duplications, contributing to the improvement of genetic counselling. We recommend reporting 15q11-q13 duplications identified during genome-wide NIPS with appropriate genetic counselling for these pregnant women in the interest of both mothers and future children.
Collapse
Affiliation(s)
- Ilse Parijs
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Nathalie Brison
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Leen Vancoillie
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Machteld Baetens
- Center of Medical Genetics, University Hospital Ghent, Ghent, Belgium
| | - Bettina Blaumeiser
- Center of Medical Genetics, University and University Hospital Antwerp, Antwerp, Belgium
| | - Sébastien Boulanger
- Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Julie Désir
- Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Boyan Dimitrov
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Clinical Sciences, research group Reproduction and Genetics, Center for Medical Genetics, Brussels, Belgium
| | - Nathalie Fieremans
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Clinical Sciences, research group Reproduction and Genetics, Center for Medical Genetics, Brussels, Belgium
| | - Katrien Janssens
- Center of Medical Genetics, University and University Hospital Antwerp, Antwerp, Belgium
| | - Sandra Janssens
- Center of Medical Genetics, University Hospital Ghent, Ghent, Belgium
| | - Axel Marichal
- Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Björn Menten
- Center of Medical Genetics, University Hospital Ghent, Ghent, Belgium
| | - Colombine Meunier
- Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Kim Van Berkel
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Clinical Sciences, research group Reproduction and Genetics, Center for Medical Genetics, Brussels, Belgium
| | - Ann Van Den Bogaert
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Clinical Sciences, research group Reproduction and Genetics, Center for Medical Genetics, Brussels, Belgium
| | - Koenraad Devriendt
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Kris Van Den Bogaert
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | | |
Collapse
|
5
|
He W, Meng G, Hu X, Dai J, Liu J, Li X, Hu H, Tan Y, Zhang Q, Lu G, Lin G, Du J. Reclassification of DMD Duplications as Benign: Recommendations for Cautious Interpretation of Variants Identified in Prenatal Screening. Genes (Basel) 2022; 13:1972. [PMID: 36360209 PMCID: PMC9690433 DOI: 10.3390/genes13111972] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/1970] [Revised: 10/15/2022] [Accepted: 10/26/2022] [Indexed: 09/09/2023] Open
Abstract
Duplications are the main type of dystrophin gene (DMD) variants, which typically cause dystrophinopathies such as Duchenne muscular dystrophy and Becker muscular dystrophy. Maternally inherited exon duplication in DMD in fetuses is a relatively common finding of genetic screening in clinical practice. However, there is no standard strategy for interpretation of the pathogenicity of DMD duplications during prenatal screening, especially for male fetuses, in which maternally inherited pathogenic DMD variants more frequently cause dystrophinopathies. Here, we report three non-contiguous DMD duplications identified in a woman and her male fetus during prenatal screening. Multiplex ligation probe amplification and long-read sequencing were performed on the woman and her family members to verify the presence of DMD duplications. Structural rearrangements in the DMD gene were mapped by long-read sequencing, and the breakpoint junction sequences were validated using Sanger sequencing. The woman and her father carried three non-contiguous DMD duplications. Long-read and Sanger sequencing revealed that the woman's father carried an intact DMD copy and a complex structural rearrangement of the DMD gene. Therefore, we reclassified these three non-contiguous DMD duplications, one of which is listed as pathogenic, as benign. We postulate that breakpoint analysis should be performed on identified DMD duplication variants, and the pathogenicity of the duplications found during prenatal screening should be interpreted cautiously for clinical prediction and genetic/reproductive counseling.
Collapse
Affiliation(s)
- Wenbin He
- Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha 410008, China
- National Engineering and Research Center of Human Stem Cells, Changsha 410006, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Guiquan Meng
- Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha 410008, China
| | - Xiao Hu
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Jing Dai
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Jiyang Liu
- Changsha Health Committee, Changsha 410006, China
| | - Xiurong Li
- Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha 410008, China
- National Engineering and Research Center of Human Stem Cells, Changsha 410006, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Hao Hu
- National Engineering and Research Center of Human Stem Cells, Changsha 410006, China
| | - Yueqiu Tan
- Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha 410008, China
- National Engineering and Research Center of Human Stem Cells, Changsha 410006, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Qianjun Zhang
- Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha 410008, China
- National Engineering and Research Center of Human Stem Cells, Changsha 410006, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Guangxiu Lu
- Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha 410008, China
- National Engineering and Research Center of Human Stem Cells, Changsha 410006, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Ge Lin
- Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha 410008, China
- National Engineering and Research Center of Human Stem Cells, Changsha 410006, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Juan Du
- Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha 410008, China
- National Engineering and Research Center of Human Stem Cells, Changsha 410006, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| |
Collapse
|
6
|
Tang X, Wang Z, Yang S, Chen M, Zhang Y, Zhang F, Tan J, Yin T, Wang L. Maternal Xp22.31 copy-number variations detected in non-invasive prenatal screening effectively guide the prenatal diagnosis of X-linked ichthyosis. Front Genet 2022; 13:934952. [PMID: 36118896 PMCID: PMC9471005 DOI: 10.3389/fgene.2022.934952] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/01/2022] [Indexed: 11/22/2022] Open
Abstract
Background and aims: X-linked ichthyosis (XLI) is a common recessive genetic disease caused by the deletion of steroid sulfatase (STS) in Xp22.31. Maternal copy-number deletions in Xp22.31 (covering STS) can be considered an incidental benefit of genome-wide cell-free DNA profiling. Here, we explored the accuracy and clinical value of maternal deletions in Xp22.31 during non-invasive prenatal screening (NIPS). Materials and methods: We evaluated 13,156 pregnant women who completed NIPS. The maternal deletions in Xp22.31 revealed by NIPS were confirmed with maternal white blood cells by chromosome microarray analysis (CMA) or copy-number variation sequencing (CNV-seq). Suspected positive women pregnant with male fetuses were informed and provided with prenatal genetic counseling. Results: Nineteen maternal deletions in Xp22.31 covering STS were detected by NIPS, which were all confirmed, ranging in size from 0.61 to 1.77 Mb. Among them, eleven women with deletions in male fetuses accepted prenatal diagnoses, and finally nine cases of XLI were diagnosed. The nine XLI males had differing degrees of skin abnormalities, and of them, some male members of ten families had symptoms associated with XLI. Conclusion: NIPS has the potential to detect clinically significant maternal X chromosomal CNVs causing XLI, which can guide the prenatal diagnosis of X-linked ichthyosis and reflect the family history, so as to enhance pregnancy management as well as children and family members’ health management.
Collapse
|
7
|
Abaji M, Gorokhova S, Da Silva N, Busa T, Grelet M, Missirian C, Sigaudy S, Philip N, Leturcq F, Lévy N, Krahn M, Bartoli M. Novel Exon-Skipping Therapeutic Approach for the DMD Gene Based on Asymptomatic Deletions of Exon 49. Genes (Basel) 2022; 13:genes13071277. [PMID: 35886062 PMCID: PMC9323532 DOI: 10.3390/genes13071277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/12/2022] [Accepted: 07/18/2022] [Indexed: 11/29/2022] Open
Abstract
Exon skipping is a promising therapeutic approach. One important condition for this approach is that the exon-skipped form of the gene can at least partially perform the required function and lead to improvement of the phenotype. It is therefore critical to identify the exons that can be skipped without a significant deleterious effect on the protein function. Pathogenic variants in the DMD gene are responsible for Duchenne muscular dystrophy (DMD). We report for the first time a deletion of the in-frame exon 49 associated with a strikingly normal muscular phenotype. Based on this observation, and on previously known therapeutic approaches using exon skipping in DMD for other single exons, we aimed to extend the clinical use of exon skipping for patients carrying truncating mutations in exon 49. We first determined the precise genomic position of the exon 49 deletion in our patients. We then demonstrated the feasibility of skipping exon 49 using an in vitro AON (antisense oligonucleotide) approach in human myotubes carrying a truncating pathogenic variant as well as in healthy ones. This work is a proof of concept aiming to expand exon-skipping approaches for DMD exon 49.
Collapse
Affiliation(s)
- Mario Abaji
- Medical Genetics Department, Assistance Publique Hôpitaux de Marseille, La Timone Children’s Hospital, 13005 Marseille, France; (M.A.); (S.G.); (T.B.); (C.M.); (S.S.); (N.P.); (N.L.); (M.K.)
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
| | - Svetlana Gorokhova
- Medical Genetics Department, Assistance Publique Hôpitaux de Marseille, La Timone Children’s Hospital, 13005 Marseille, France; (M.A.); (S.G.); (T.B.); (C.M.); (S.S.); (N.P.); (N.L.); (M.K.)
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
| | | | - Tiffany Busa
- Medical Genetics Department, Assistance Publique Hôpitaux de Marseille, La Timone Children’s Hospital, 13005 Marseille, France; (M.A.); (S.G.); (T.B.); (C.M.); (S.S.); (N.P.); (N.L.); (M.K.)
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
| | - Maude Grelet
- Centre Hospitalier Inter-Communal Toulon-La Seyne, Medical Genetics Unit, Sainte Musse Hospital, 83100 Toulon, France;
| | - Chantal Missirian
- Medical Genetics Department, Assistance Publique Hôpitaux de Marseille, La Timone Children’s Hospital, 13005 Marseille, France; (M.A.); (S.G.); (T.B.); (C.M.); (S.S.); (N.P.); (N.L.); (M.K.)
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
| | - Sabine Sigaudy
- Medical Genetics Department, Assistance Publique Hôpitaux de Marseille, La Timone Children’s Hospital, 13005 Marseille, France; (M.A.); (S.G.); (T.B.); (C.M.); (S.S.); (N.P.); (N.L.); (M.K.)
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
| | - Nicole Philip
- Medical Genetics Department, Assistance Publique Hôpitaux de Marseille, La Timone Children’s Hospital, 13005 Marseille, France; (M.A.); (S.G.); (T.B.); (C.M.); (S.S.); (N.P.); (N.L.); (M.K.)
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
| | - France Leturcq
- Department of Medical Genetics, APHP Centre Université Paris Cité Cochin Hospital, 75014 Paris, France;
| | - Nicolas Lévy
- Medical Genetics Department, Assistance Publique Hôpitaux de Marseille, La Timone Children’s Hospital, 13005 Marseille, France; (M.A.); (S.G.); (T.B.); (C.M.); (S.S.); (N.P.); (N.L.); (M.K.)
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
| | - Martin Krahn
- Medical Genetics Department, Assistance Publique Hôpitaux de Marseille, La Timone Children’s Hospital, 13005 Marseille, France; (M.A.); (S.G.); (T.B.); (C.M.); (S.S.); (N.P.); (N.L.); (M.K.)
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
| | - Marc Bartoli
- MMG, INSERM, Aix Marseille University, 13385 Marseille, France;
- Correspondence: ; Tel.: +33-491-32-49-06
| |
Collapse
|
8
|
Bai Y, Liu J, Xu J, Sun Y, Li J, Gao Y, Liu L, Jia C, Kong X, Wang L. Long-Read Sequencing Revealed Extragenic and Intragenic Duplications of Exons 56-61 in DMD in an Asymptomatic Male and a DMD Patient. Front Genet 2022; 13:878806. [PMID: 35615378 PMCID: PMC9125615 DOI: 10.3389/fgene.2022.878806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
Expanded carrier screening (ECS) has become an increasingly common technique to assess the genetic risks of individuals in the prenatal or preconception period. Unexpected variants unrelated to referral are being increasingly detected in asymptomatic individuals through ECS. In this study, we reported an asymptomatic male with duplication of exons 56-61 in the DMD gene through ECS using whole-exome sequencing (WES), which was also detected in a male patient diagnosed with typical Duchenne muscular dystrophy (DMD). Breakpoint analysis was then performed to explore the potential mechanisms of phenotypic differences using long-read sequencing (LRS), PacBio single-molecule real-time (PacBio SMRT) target sequencing, and Sanger sequencing. Complex structural variations (SVs) on chromosome X were identified in the asymptomatic male, which revealed that the duplication occurred outside the DMD gene; whereas, the duplication in the patient with DMD was a tandem repeat. The phenotypic differences between the two men could be explained by the different breakpoint junctions. To the best of our knowledge, this is the first report of a breakpoint analysis of DMD duplication in two men with different phenotypes. Breakpoint analysis is necessary when the clinical phenotypes are inconsistent with genotypes, and it applies to prenatal testing.
Collapse
Affiliation(s)
- Ying Bai
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ju Liu
- Department of Neurology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinghan Xu
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yue Sun
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingjing Li
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Gao
- GrandOmics Biosciences, Beijing, China
| | - Lina Liu
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | - Xiangdong Kong
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Wang
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| |
Collapse
|
9
|
Wang F, Li Y, Zhao S, Chen Z, Xu Z, Wang L, Zhang TJ, Yan J, Cao L, Wang P, Li A, Zhong Y, Wu Z, Qi X, Zhang M, Wu N. The utility of hierarchical genetic testing in paediatric liver disease. Liver Int 2022; 42:1097-1108. [PMID: 35257483 DOI: 10.1111/liv.15235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/20/2021] [Accepted: 11/01/2021] [Indexed: 02/13/2023]
Abstract
BACKGROUND & AIMS Genetic factors underlie a substantial proportion of paediatric liver diseases. Hereditary liver diseases have considerable genetic heterogeneity and variable clinical manifestations, which bring great challenges to clinical and molecular diagnoses. In this study, we investigated a group of paediatric patients with varying degrees of liver dysfunction using a hierarchical genetic testing strategy. METHODS We first applied a panel encompassing 166 known causal genes of liver disease. We then used exome sequencing (ES) in those patients whose cases remained undiagnosed to identify the genetic aetiology of their symptoms. RESULTS In total, we enrolled 131 unrelated paediatric patients with liver disease of Chinese Han ethnicity. We first applied targeted gene sequencing of 166 genes to all patients and yielded a diagnostic rate of 35.9% (47 of 131). Eighty-four patients who remained undiagnosed after target gene sequencing were subjected to ES. As a result, eight (8/84, 9.5%) of them obtained molecular diagnoses, including four patients suspected of abnormal bilirubin metabolism and four idiopathic cases. Non-typical genetic findings, including digenic inheritance and dual molecular diagnosis, were also identified. Through a comprehensive assessment of novel candidate variants of uncertain disease association, 11 patients of the remaining undiagnosed patients were able to obtain likely molecular diagnoses. CONCLUSIONS Our study presents evidence for the diagnostic utility of sequential genetic testing in a cohort of patients with paediatric liver disease. Our findings expand the understanding of the phenotypic and mutational spectrum underlying this heterogeneous group of diseases.
Collapse
Affiliation(s)
- Fuchuan Wang
- Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yaqi Li
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| | - Sen Zhao
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| | - Zefu Chen
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| | - Zhiqiang Xu
- Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Lianlei Wang
- Department of Orthopedic Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, P. R. China
| | - Terry Jianguo Zhang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| | - Jianguo Yan
- Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Lili Cao
- Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Pu Wang
- Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Aiqin Li
- Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yanwei Zhong
- Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhihong Wu
- Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaolong Qi
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China
| | - Min Zhang
- Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Nan Wu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China
| |
Collapse
|
10
|
Chromosomal Microarray Analysis Compared With Noninvasive Prenatal Testing in Pregnancies With Abnormal Maternal Serum Screening. Obstet Gynecol 2022; 139:877-887. [DOI: 10.1097/aog.0000000000004758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 02/03/2022] [Indexed: 11/26/2022]
|
11
|
Maya I, Salzer Sheelo L, Brabbing-Goldstein D, Matar R, Kahana S, Agmon-Fishman I, Klein C, Gurevitch M, Basel-Salmon L, Sagi-Dain L. Residual risk for clinically significant copy number variants in low-risk pregnancies, following exclusion of noninvasive prenatal screening-detectable findings. Am J Obstet Gynecol 2022; 226:562.e1-562.e8. [PMID: 34762861 DOI: 10.1016/j.ajog.2021.11.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 10/30/2021] [Accepted: 11/02/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Chromosomal microarray analysis detects a clinically significant amount of copy number variants in approximately 1% of low-risk pregnancies. As the constantly growing use of noninvasive prenatal screening has facilitated the detection of chromosomal aberrations, defining the rate of abnormal chromosomal microarray analysis findings following normal noninvasive prenatal screening is of importance for making informed decisions regarding prenatal testing and screening options. OBJECTIVE To calculate the residual risk for clinically significant copy number variants following theoretically normal noninvasive prenatal screening. STUDY DESIGN The chromosomal microarray results of all pregnancies undergoing amniocentesis between the years 2013 and 2021 in a large hospital-based laboratory were collected. Pregnancies with sonographic anomalies, abnormal maternal serum screening, or multiple fetuses were excluded. Clinically significant (pathogenic and likely pathogenic) copy number variants were divided into the following: 3-noninvasive prenatal screening-detectable (trisomies 13, 18, and 21), 5- noninvasive prenatal screening-detectable (including sex chromosome aberrations), 5-noninvasive prenatal screening and common microdeletion-detectable (including 1p36.3-1p36.2, 4p16.3-4p16.2, 5p15.3-5p15.1, 15q11.2-15q13.1, and 22q11.2 deletions), and genome-wide noninvasive prenatal screening-detectable (including variants >7 Mb). The theoretical residual risk for clinically significant copy number variants was calculated following the exclusion of noninvasive prenatal screening-detectable findings. RESULTS Of the 7235 pregnancies, clinically significant copy number variants were demonstrated in 87 cases (1.2%). The residual risk following theoretically normal noninvasive prenatal screening was 1.07% (1/94) for 3-noninvasive prenatal screening, 0.78% (1/129) for 5- noninvasive prenatal screening, 0.74% (1/136) for 5- noninvasive prenatal screening including common microdeletions, and 0.68% (1/147) for genome-wide noninvasive prenatal screening. In the subgroup of 4048 pregnancies with advanced maternal age, the residual risk for clinically significant copy number variants following theoretically normal noninvasive prenatal screening ranged from 1.36% (1/73) for 3- noninvasive prenatal screening to 0.82% (1/122) for genome-wide noninvasive prenatal screening. In 3187 pregnancies of women <35 years, this residual risk ranged from 0.69% (1/145) for 3- noninvasive prenatal screening to 0.5% (1/199) for genome-wide noninvasive prenatal screening. CONCLUSION The residual risk of clinically significant copy number variants in pregnancies without structural sonographic anomalies is appreciable and depends on the noninvasive prenatal screening extent and maternal age. This knowledge is important for the patients, obstetricians, and genetic counselors to facilitate informed decisions regarding prenatal testing and screening options.
Collapse
|
12
|
Zhang L, Shi J, Ouyang J, Zhang R, Tao Y, Yuan D, Lv C, Wang R, Ning B, Roberts R, Tong W, Liu Z, Shi T. X-CNV: genome-wide prediction of the pathogenicity of copy number variations. Genome Med 2021; 13:132. [PMID: 34407882 PMCID: PMC8375180 DOI: 10.1186/s13073-021-00945-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 07/30/2021] [Indexed: 01/04/2023] Open
Abstract
Background Gene copy number variations (CNVs) contribute to genetic diversity and disease prevalence across populations. Substantial efforts have been made to decipher the relationship between CNVs and pathogenesis but with limited success. Results We have developed a novel computational framework X-CNV (www.unimd.org/XCNV), to predict the pathogenicity of CNVs by integrating more than 30 informative features such as allele frequency (AF), CNV length, CNV type, and some deleterious scores. Notably, over 14 million CNVs across various ethnic groups, covering nearly 93% of the human genome, were unified to calculate the AF. X-CNV, which yielded area under curve (AUC) values of 0.96 and 0.94 in training and validation sets, was demonstrated to outperform other available tools in terms of CNV pathogenicity prediction. A meta-voting prediction (MVP) score was developed to quantitively measure the pathogenic effect, which is based on the probabilistic value generated from the XGBoost algorithm. The proposed MVP score demonstrated a high discriminative power in determining pathogenetic CNVs for inherited traits/diseases in different ethnic groups. Conclusions The ability of the X-CNV framework to quantitatively prioritize functional, deleterious, and disease-causing CNV on a genome-wide basis outperformed current CNV-annotation tools and will have broad utility in population genetics, disease-association studies, and diagnostic screening. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-021-00945-4.
Collapse
Affiliation(s)
- Li Zhang
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China.,School of Statistics, Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, East China Normal University, Shanghai, 200062, China
| | - Jingru Shi
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Jian Ouyang
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Riquan Zhang
- School of Statistics, Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, East China Normal University, Shanghai, 200062, China
| | - Yiran Tao
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Dongsheng Yuan
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Chengkai Lv
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Ruiyuan Wang
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Baitang Ning
- National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Ruth Roberts
- ApconiX Ltd, Alderley Park, Alderley Edge, SK10 4TG, UK.,University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Weida Tong
- National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, 72079, USA.
| | - Zhichao Liu
- National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, 72079, USA.
| | - Tieliu Shi
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai, 200241, China. .,School of Statistics, Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, East China Normal University, Shanghai, 200062, China. .,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, 100083, China.
| |
Collapse
|
13
|
Zhou L, Zhang B, Liu J, Shi Y, Wang J, Yu B. The Optimal Cutoff Value of Z-scores Enhances the Judgment Accuracy of Noninvasive Prenatal Screening. Front Genet 2021; 12:690063. [PMID: 34367249 PMCID: PMC8336938 DOI: 10.3389/fgene.2021.690063] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/14/2021] [Indexed: 11/15/2022] Open
Abstract
Objective To evaluate the accuracy of Z-scores of noninvasive prenatal screening (NIPS) in predicting 21, 18 trisomy, and X chromosome aneuploidy. Methods A total of 39,310 prenatal women were recruited for NIPS from September 2015 to September 2020. Interventional prenatal diagnosis was applied to verify the diagnosis of NIPS-positive results. Logistic regression analysis was employed to relate the Z-scores to the positive predictive value (PPV) of NIPS-positive results. Using receiver operating characteristic (ROC) curves, we calculated the optimal cutoff value of Z-scores to predict fetal chromosome aneuploidy. According to the cutoff value, NIPS-positive results were divided into the medium Z-value (MZ) and high Z-value (HZ) groups, and PPV was calculated to access the accuracy of Z-scores. Results A total of 288 effective values of Z-scores were used as the final data set. The logistics regression analysis revealed that Z-scores were significantly associated with true-positive results for 21 trisomy (T21) and 18 trisomy (T18) (P < 0.05), whereas the same was not observed for X chromosome aneuploids (P > 0.05). The optimal cutoff value of the Z-score for T21, T18, XO, XXX, and XXY indicated by ROC curve analysis were 5.79, 6.05, −9.56, 5.89, and 4.47, and the area under the curve (AUC) were 0.89, 0.80, 0.48, 0.42, and 0.45, respectively. PPV in the HZ group was higher than that in the MZ group, and the application of the cutoff value reduced the false discovery rate (FDR), which was only 2.9% in the HZ group compared with 61.1% in the MZ group for T21 and T18. The difference in total PPV between the MZ and HZ groups for X chromosome aneuploids was statistically significant. Moreover, the PPV for XXX and XXY seemed to increase with Z-scores but not for XO. Conclusion The Z-score is helpful for the accurate judgment of NIPS results and for clinical prenatal counseling. Especially for T21 and T18, Z-scores have an excellent clinical association, which is superior to that seen with X chromosome aneuploids. In addition, using Z-scores to judge NIPS results offers a certain reference value for XXX and XXY but not for XO.
Collapse
Affiliation(s)
- Lingna Zhou
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Bin Zhang
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Jianbing Liu
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Ye Shi
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Jing Wang
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Bin Yu
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| |
Collapse
|
14
|
Chin HL, O'Neill K, Louie K, Brown L, Schlade-Bartusiak K, Eydoux P, Rupps R, Farahani A, Boerkoel CF, Jones SJM. An approach to rapid characterization of DMD copy number variants for prenatal risk assessment. Am J Med Genet A 2021; 185:2541-2545. [PMID: 34018669 DOI: 10.1002/ajmg.a.62349] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 03/19/2021] [Accepted: 04/22/2021] [Indexed: 12/18/2022]
Abstract
Prenatal detection of structural variants of uncertain significance, including copy number variants (CNV), challenges genetic counseling, and creates ambiguity for expectant parents. In Duchenne muscular dystrophy, variant classification and phenotypic severity of CNVs are currently assessed by familial segregation, prediction of the effect on the reading frame, and precedent data. Delineation of pathogenicity by familial segregation is limited by time and suitable family members, whereas analytical tools can rapidly delineate potential consequences of variants. We identified a duplication of uncertain significance encompassing a portion of the dystrophin gene (DMD) in an unaffected mother and her male fetus. Using long-read whole genome sequencing and alignment of short reads, we rapidly defined the precise breakpoints of this variant in DMD and could provide timely counseling. The benign nature of the variant was substantiated, more slowly, by familial segregation to a healthy maternal uncle. We find long-read whole genome sequencing of clinical utility in a prenatal setting for accurate and rapid characterization of structural variants, specifically a duplication involving DMD.
Collapse
Affiliation(s)
- Hui-Lin Chin
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada.,Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, Singapore
| | - Kieran O'Neill
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Kristal Louie
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada
| | - Lindsay Brown
- Department of Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kamilla Schlade-Bartusiak
- Department of Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Patrice Eydoux
- Department of Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rosemarie Rupps
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada
| | - Ali Farahani
- Preventum Personalized Healthcare, Vancouver, British Columbia, Canada
| | - Cornelius F Boerkoel
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada
| | - Steven J M Jones
- Department of Medical Genetics and Provincial Medical Genetics Program, University of British Columbia and Women's Hospital of British Columbia, Vancouver, British Columbia, Canada.,Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| |
Collapse
|
15
|
Abstract
Duchenne muscular dystrophy is a severe, progressive, muscle-wasting disease that leads to difficulties with movement and, eventually, to the need for assisted ventilation and premature death. The disease is caused by mutations in DMD (encoding dystrophin) that abolish the production of dystrophin in muscle. Muscles without dystrophin are more sensitive to damage, resulting in progressive loss of muscle tissue and function, in addition to cardiomyopathy. Recent studies have greatly deepened our understanding of the primary and secondary pathogenetic mechanisms. Guidelines for the multidisciplinary care for Duchenne muscular dystrophy that address obtaining a genetic diagnosis and managing the various aspects of the disease have been established. In addition, a number of therapies that aim to restore the missing dystrophin protein or address secondary pathology have received regulatory approval and many others are in clinical development.
Collapse
Affiliation(s)
- Dongsheng Duan
- Department of Molecular Microbiology and Immunology and Department of Neurology, School of Medicine; Department of Biomedical Sciences, College of Veterinary Medicine; Department of Biomedical, Biological & Chemical Engineering, College of Engineering, University of Missouri, Columbia, MO, USA
| | - Nathalie Goemans
- Department of Child Neurology, University Hospitals Leuven, Leuven, Belgium
| | | | - Eugenio Mercuri
- Centro Clinico Nemo, Policlinico Gemelli, Rome, Italy
- Peadiatric Neurology, Catholic University, Rome, Italy
| | - Annemieke Aartsma-Rus
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
| |
Collapse
|
16
|
Van Den Bogaert K, Lannoo L, Brison N, Gatinois V, Baetens M, Blaumeiser B, Boemer F, Bourlard L, Bours V, De Leener A, De Rademaeker M, Désir J, Dheedene A, Duquenne A, Fieremans N, Fieuw A, Gatot JS, Grisart B, Janssens K, Janssens S, Lederer D, Marichal A, Menten B, Meunier C, Palmeira L, Pichon B, Sammels E, Smits G, Sznajer Y, Vantroys E, Devriendt K, Vermeesch JR. Outcome of publicly funded nationwide first-tier noninvasive prenatal screening. Genet Med 2021; 23:1137-1142. [PMID: 33564150 DOI: 10.1038/s41436-021-01101-4] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 01/07/2021] [Accepted: 01/08/2021] [Indexed: 11/09/2022] Open
Abstract
PURPOSE Noninvasive prenatal screening (NIPS) using cell-free DNA has transformed prenatal care. Belgium was the first country to implement and fully reimburse NIPS as a first-tier screening test offered to all pregnant women. A consortium consisting of all Belgian genetic centers report the outcome of two years genome-wide NIPS implementation. METHODS The performance for the common trisomies and for secondary findings was evaluated based on 153,575 genome-wide NIP tests. Furthermore, the evolution of the number of invasive tests and the incidence of Down syndrome live births was registered. RESULTS Trisomies 21, 18, and 13 were detected in respectively 0.32%, 0.07%, and 0.06% of cases, with overall positive predictive values (PPVs) of 92.4%, 84.6%, and 43.9%. Rare autosomal trisomies and fetal segmental imbalances were detected in respectively 0.23% and 0.07% of cases with PPVs of 4.1% and 47%. The number of invasive obstetric procedures decreased by 52%. The number of trisomy 21 live births dropped to 0.04%. CONCLUSION Expanding the scope of NIPS beyond trisomy 21 fetal screening allows the implementation of personalized genomic medicine for the obstetric population. This genome-wide NIPS approach has been embedded successfully in prenatal genetic care in Belgium and might serve as a framework for other countries offering NIPS.
Collapse
Affiliation(s)
- Kris Van Den Bogaert
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Lore Lannoo
- Department of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven, Belgium
| | - Nathalie Brison
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Vincent Gatinois
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Machteld Baetens
- Center for Medical Genetics, University Hospital Ghent, Ghent, Belgium
| | - Bettina Blaumeiser
- Center for Medical Genetics, Universiteit Antwerpen, Antwerp, Belgium.,Center for Medical Genetics, University Hospital Antwerp, Edegem, Belgium
| | - François Boemer
- Center for Medical Genetics, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Laura Bourlard
- Center for Human Genetics, Université Libre de Bruxelles, Brussels, Belgium
| | - Vincent Bours
- Center for Medical Genetics, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Anne De Leener
- Center for Human Genetics, Université Catholique de Louvain, Brussels, Belgium
| | | | - Julie Désir
- Center for Human Genetics, Université Libre de Bruxelles, Brussels, Belgium.,Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Annelies Dheedene
- Center for Medical Genetics, University Hospital Ghent, Ghent, Belgium
| | - Armelle Duquenne
- Center for Human Genetics, Université Catholique de Louvain, Brussels, Belgium
| | - Nathalie Fieremans
- Center for Medical Genetics, Vrije Universiteit Brussel, Brussels, Belgium
| | - Annelies Fieuw
- Center for Medical Genetics, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jean-Stéphane Gatot
- Center for Medical Genetics, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Bernard Grisart
- Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Katrien Janssens
- Center for Medical Genetics, Universiteit Antwerpen, Antwerp, Belgium
| | - Sandra Janssens
- Center for Medical Genetics, University Hospital Ghent, Ghent, Belgium
| | - Damien Lederer
- Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Axel Marichal
- Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Björn Menten
- Center for Medical Genetics, University Hospital Ghent, Ghent, Belgium
| | - Colombine Meunier
- Center for Medical Genetics, Institut de Pathologie et de Génétique Gosselies, Charleroi, Belgium
| | - Leonor Palmeira
- Center for Medical Genetics, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Bruno Pichon
- Center for Human Genetics, Université Libre de Bruxelles, Brussels, Belgium
| | - Eva Sammels
- Center for Medical Genetics, Vrije Universiteit Brussel, Brussels, Belgium
| | - Guillaume Smits
- Center for Human Genetics, Université Libre de Bruxelles, Brussels, Belgium
| | - Yves Sznajer
- Center for Human Genetics, Université Catholique de Louvain, Brussels, Belgium
| | - Elise Vantroys
- Center for Medical Genetics, Vrije Universiteit Brussel, Brussels, Belgium
| | - Koenraad Devriendt
- Center for Human Genetics, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | | |
Collapse
|