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Pan YQ, Fu JH. Case Report: Clinical Description of a Patient Carrying a 12.48 Mb Microdeletion Involving the 10p13-15.3 Region. Front Pediatr 2021; 9:603666. [PMID: 33732667 PMCID: PMC7959834 DOI: 10.3389/fped.2021.603666] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 01/13/2021] [Indexed: 11/13/2022] Open
Abstract
Partial deletion of 10p chromosome is a rare chromosomal aberration. Submicroscopic deletion of 10p15.3 is mainly related to cognitive deficits, speech disorders, motor delay, and hypotonia with the deleted region ranging from 0.15 to 4 Mb. The clinical phenotype is mainly determined by the ZMYND11 and DIP2C genes. Here, we report a rare case of feeding difficulties, hypocalcemia, and psychomotor retardation. Our patient has a 12.48 Mb deletion in 10p15.3-10p13, which is the second case of large 10p deletion among reported cases thus far.
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Affiliation(s)
- Yu-Qing Pan
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jian-Hua Fu
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
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Zou Y, Cui L, Xue M, Yan J, Huang M, Gao M, Gao X, Gao Y, Chen ZJ. Applications of noninvasive prenatal testing in vanishing twin syndrome pregnancies after treatment of assisted reproductive technology in a single center. Prenat Diagn 2020; 41:226-233. [PMID: 33009680 DOI: 10.1002/pd.5836] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/04/2020] [Accepted: 09/27/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The objective of the study is to assess the clinical application of noninvasive prenatal testing (NIPT) for VTS pregnancies after the treatment of assisted reproductive technology (ART). METHOD This was a retrospective study on VTS pregnancies through ART treatment. Participants underwent NIPT at 11 to 13 weeks gestation by sequencing. Resampling was recommended for both positive and testing failure cases. For NIPT positive results, participants were advised to have invasive testing. Clinical outcomes were obtained by telephone interview. RESULTS In total of 579 cases, testing failure rates after first sampling and resampling were 7.6% and 1.4%, respectively. Twelve positive results were reported by NIPT. But only one true positive was confirmed, giving a PPV of 8%. A total of 576 cases completed the follow-up (including 533 NIPT negative, 12 positive, and 31 testing failure) and three cases lost follow-up. Among the 536 cases with NIPT negative results, 504 (94.0%) resulted in live-birth and 29 (5.4%) resulted in miscarriage or stillbirths. No false-negative result was reported. CONCLUSION NIPT has the potential to be used in prenatal screening for VTS pregnancies. For the pregnant women who obtained positive and testing failure results, resampling after 15 weeks of gestation is recommended.
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Affiliation(s)
- Yang Zou
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Linlin Cui
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Mengyang Xue
- Department of Emergency and Chest Pain Center, Qilu Hospital, Shandong University, Jinan, China
| | - Junhao Yan
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Miao Huang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Ming Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Xuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Yuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China.,Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Fan L, Wu J, Wu Y, Shi X, Xin X, Li S, Zeng W, Deng D, Feng L, Chen S, Xiao J. Analysis of Chromosomal Copy Number in First-Trimester Pregnancy Loss Using Next-Generation Sequencing. Front Genet 2020; 11:545856. [PMID: 33193619 PMCID: PMC7606984 DOI: 10.3389/fgene.2020.545856] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 09/22/2020] [Indexed: 01/01/2023] Open
Abstract
Embryonic chromosomal abnormality is one of the significant causative factors of early pregnancy loss. Our goal was to evaluate the clinical utility of next-generation sequencing (NGS) technology in identifying chromosomal anomalies associated with first-trimester pregnancy loss. In addition, we attempted to provide fertility guidance to couples anticipating a successful pregnancy. A total of 1,010 miscarriage specimens were collected between March 2016 and January 2019 from women who suffered first-trimester pregnancy loss. Total DNA was isolated from products of conception, and NGS analysis was carried out. We detected a total of 634 cases of chromosomal variants. Among the 634 cases, 462 (72.9%) displayed numerical variants including 383 (60.4%) aneuploidies, 44 (6.9%) polyploidies, and 34 (5.5%) mosaicisms. The other 172 (27.1%) cases showed structural variants including 19 (3.0%) benign copy number variations (CNVs), 52 (8.2%) pathogenic CNVs, and 101 (16%) variants of unknown significance (VOUS) CNVs. When maternal age was ≥ 35 years, the sporadic abortion (SA) group showed an increased frequency of chromosomal variants in comparison with the recurrent miscarriage (RM) group (90/121 vs. 64/104). It was evident that the groups with advanced maternal age had a sharply increased frequency of aneuploidy, whatever the frequency of pregnancy loss (71/121 vs. 155/432, 49/104 vs. 108/349). Our data suggest that NGS could be used for the successful detection of genetic anomalies in pregnancy loss. We recommend that fetal chromosome analysis be offered routinely for all pregnancy losses, regardless of their frequency.
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Affiliation(s)
- Lei Fan
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianli Wu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Wu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinwei Shi
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xing Xin
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shufang Li
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wanjiang Zeng
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dongrui Deng
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ling Feng
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Suhua Chen
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juan Xiao
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Liu M, Zhong Y, Liu H, Liang D, Liu E, Zhang Y, Tian F, Liang Q, Cram DS, Wang H, Wu L, Yu F. REDBot: Natural language process methods for clinical copy number variation reporting in prenatal and products of conception diagnosis. Mol Genet Genomic Med 2020; 8:e1488. [PMID: 32961042 PMCID: PMC7667294 DOI: 10.1002/mgg3.1488] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 08/07/2020] [Accepted: 08/10/2020] [Indexed: 12/13/2022] Open
Abstract
Background Current copy number variation (CNV) identification methods have rapidly become mature. However, the postdetection processes such as variant interpretation or reporting are inefficient. To overcome this situation, we developed REDBot as an automated software package for accurate and direct generation of clinical diagnostic reports for prenatal and products of conception (POC) samples. Methods We applied natural language process (NLP) methods for analyzing 30,235 in‐house historical clinical reports through active learning, and then, developed clinical knowledge bases, evidence‐based interpretation methods and reporting criteria to support the whole postdetection pipeline. Results Of the 30,235 reports, we obtained 37,175 CNV‐paragraph pairs. For these pairs, the active learning approaches achieved a 0.9466 average F1‐score in sentence classification. The overall accuracy for variant classification was 95.7%, 95.2%, and 100.0% in retrospective, prospective, and clinical utility experiments, respectively. Conclusion By integrating NLP methods in CNVs postdetection pipeline, REDBot is a robust and rapid tool with clinical utility for prenatal and POC diagnosis.
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Affiliation(s)
| | | | - Hongqian Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu
| | - Desheng Liang
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, China.,Hunan Jiahui Genetics Hospital, Changsha, China
| | - Erhong Liu
- Berry Genomics Corporation, Beijing, China
| | - Yu Zhang
- Berry Genomics Corporation, Beijing, China
| | - Feng Tian
- Berry Genomics Corporation, Beijing, China
| | | | | | - Hua Wang
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Lingqian Wu
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Fuli Yu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
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Sun H, Yi T, Hao X, Yan H, Wang J, Li Q, Gu X, Zhou X, Wang S, Wang X, Wan P, Han L, Chen J, Zhu H, Zhang H, He Y. Contribution of single-gene defects to congenital cardiac left-sided lesions in the prenatal setting. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 56:225-232. [PMID: 31633846 DOI: 10.1002/uog.21883] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 09/08/2019] [Accepted: 09/20/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVES To explore the contribution of single-gene defects to the genetic cause of cardiac left-sided lesions (LSLs), and to evaluate the incremental diagnostic yield of whole-exome sequencing (WES) for single-gene defects in fetuses with LSLs without aneuploidy or a pathogenic copy-number variant (pCNV). METHODS Between 10 April 2015 and 30 October 2018, we recruited 80 pregnant women diagnosed with a LSL who had termination of pregnancy and genetic testing. Eligible LSLs were aortic valve atresia or stenosis, coarctation of the aorta, mitral atresia or stenosis and hypoplastic left heart syndrome (HLHS). CNV sequencing (CNV-seq) and WES were performed sequentially on specimens from these fetuses and their parents. CNV-seq was used to identify aneuploidies and pCNVs, while WES was used to identify diagnostic genetic variants in cases without aneuploidy or pCNV. RESULTS Of 80 pregnancies included in the study, 27 (33.8%) had a genetic diagnosis. CNV-seq analysis identified six (7.5%) fetuses with aneuploidy and eight (10.0%) with pCNVs. WES analysis of the remaining 66 cases revealed diagnostic genetic variants in 13 (19.7%) cases, indicating that the diagnostic yield of WES for the entire cohort was 16.3% (13/80). KMT2D was the most frequently mutated gene (7/66 (10.6%)) in fetuses with LSL without aneuploidy or pCNVs, followed by NOTCH1 (4/66 (6.1%)). HLHS was the most prevalent cardiac phenotype (4/7) in cases with a KMT2D mutation in this cohort. An additional six (9.1%) cases were found to have potentially deleterious variants in candidate genes. CONCLUSIONS Single-gene defects contribute substantially to the genetic etiology of fetal LSLs. KMT2D mutations accounted for approximately 10% of LSLs in our fetal cohort. WES has the potential to provide genetic diagnoses in fetuses with LSLs without aneuploidy or pCNVs. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- H Sun
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Department of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, China
- Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
| | - T Yi
- Department of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, China
| | - X Hao
- Department of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, China
| | - H Yan
- Baijia kangran biotechnology LLC, Beijing, China
| | - J Wang
- College of Life Science, Tsinghua University, Beijing, China
| | - Q Li
- Baijia kangran biotechnology LLC, Beijing, China
| | - X Gu
- Department of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, China
| | - X Zhou
- Department of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - S Wang
- Department of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - X Wang
- Department of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - P Wan
- Berry Genomics Corporation, Beijing, China
| | - L Han
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Laboratory for Cardiovascular Precision Medicine, Beijing, China
| | - J Chen
- Department of Ultrasound, Shenzhen Second People's Hospital, Shenzhen, China
| | - H Zhu
- State Key Laboratory of Software Development Environment, Beihang University, Beijing, China
| | - H Zhang
- Beijing Laboratory for Cardiovascular Precision Medicine, Beijing, China
- Department of Cardiac Surgery, Beijing ChaoYang Hospital, Capital Medical University, Beijing, China
| | - Y He
- Department of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Beijing, China
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Zhang C, Hao S, Zhang Q, Liu F, Zhou B, Xuan F, Xing W, Chen X, Wang Y, Ma P, Cao Z, Ma X. Maternal UPD of chromosome 7 in a patient with Silver-Russell syndrome and Pendred syndrome. J Clin Lab Anal 2020; 34:e23407. [PMID: 32666542 PMCID: PMC7521231 DOI: 10.1002/jcla.23407] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/28/2020] [Accepted: 05/09/2020] [Indexed: 01/16/2023] Open
Abstract
Background Silver‐Russell syndrome (SRS) is a heterogeneous imprinting disorder featuring severe intrauterine and postnatal growth retardation and dysmorphic features. Pendred syndrome (PDS) is an autosomal recessive disorder caused by mutations in the SLC26A4 gene characterized by sensorineural hearing loss. Methods Karyotyping analysis was performed to investigate any chromosomal abnormalities. Whole‐genome copy number variation and loss of heterozygosity were analyzed using an Affymetrix CytoScan 750 K Microarray. Variant screening was performed by targeted next‐generation sequencing on all known deafness‐causing genes. Results The proband was a patient with SRS caused by maternal uniparental disomy 7. The PDS of the proband was caused by homozygous variant c.919‐2A > G of SLC26A4; both mutated alleles were inherited from his mother. Conclusion This is the first report of uniparental disomy 7 leading to SRS and Pendred syndrome. Patients with intrauterine growth retardation or those born small for gestational age and exhibiting postnatal growth failure should undergo molecular testing to reach a clinical diagnosis.
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Affiliation(s)
- Chuan Zhang
- Graduate School of Peking Union Medical College, Beijing, China.,National Research Institute for Family Planning, National Human Genetic Resources Center, Beijing, China.,Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Shengju Hao
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Qinghua Zhang
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Furong Liu
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Bingbo Zhou
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Feng Xuan
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Wang Xing
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Xue Chen
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Yan Wang
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Panpan Ma
- Gansu Province Medical Genetics Center, Gansu Province Maternal and Child Health Care Hospital, Lanzhou, China
| | - Zongfu Cao
- Graduate School of Peking Union Medical College, Beijing, China.,National Research Institute for Family Planning, National Human Genetic Resources Center, Beijing, China
| | - Xu Ma
- Graduate School of Peking Union Medical College, Beijing, China.,National Research Institute for Family Planning, National Human Genetic Resources Center, Beijing, China
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Hu X, Guo R, Guo J, Qi Z, Li W, Hao C. Parallel Tests of Whole Exome Sequencing and Copy Number Variant Sequencing Increase the Diagnosis Yields of Rare Pediatric Disorders. Front Genet 2020; 11:473. [PMID: 32595695 PMCID: PMC7300249 DOI: 10.3389/fgene.2020.00473] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 04/16/2020] [Indexed: 12/23/2022] Open
Abstract
Background: Both whole exome sequencing and copy number variants sequencing were applied to identify the genetic cause of rare pediatric disorders. In our study, we aimed to investigate the diagnostic yield of parallel tests of trio whole exome sequencing and copy number variants sequencing and its clinical utility. Methods: After collecting detailed clinical information, a total of 60 patients were referred to parallel tests of whole exome sequencing and copy number variants sequencing, which used shared initial libraries. Results: 26 pathogenic or likely pathogenic single nucleotide variants and 11 copy number variants were identified in 32 patients. 65.4% (17/26) of the SNVs were novel. The overall diagnosis rate was 53.3%. For the patients with positive results, 22 (36.7%) patients were diagnosed by whole exome sequencing and 10 (16.7%) patients were diagnosed by copy number variants sequencing. We also reviewed clinical impact on selected cases. Conclusion: We adopted an approach by performing parallel tests of trio whole exome sequencing and copy number variants sequencing with shared initial libraries. This strategy is relatively efficient and cost-effective for the diagnosis of rare pediatric disorders with high heterogeneity.
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Affiliation(s)
- Xuyun Hu
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- Henan Key Laboratory of Pediatric Inherited & Metabolic Diseases, Henan Children's Hospital, Zhengzhou Hospital of Beijing Children's Hospital, Zhengzhou, China
| | - Ruolan Guo
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- Henan Key Laboratory of Pediatric Inherited & Metabolic Diseases, Henan Children's Hospital, Zhengzhou Hospital of Beijing Children's Hospital, Zhengzhou, China
| | - Jun Guo
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- Henan Key Laboratory of Pediatric Inherited & Metabolic Diseases, Henan Children's Hospital, Zhengzhou Hospital of Beijing Children's Hospital, Zhengzhou, China
| | - Zhan Qi
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- Henan Key Laboratory of Pediatric Inherited & Metabolic Diseases, Henan Children's Hospital, Zhengzhou Hospital of Beijing Children's Hospital, Zhengzhou, China
| | - Wei Li
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- Henan Key Laboratory of Pediatric Inherited & Metabolic Diseases, Henan Children's Hospital, Zhengzhou Hospital of Beijing Children's Hospital, Zhengzhou, China
| | - Chanjuan Hao
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- Henan Key Laboratory of Pediatric Inherited & Metabolic Diseases, Henan Children's Hospital, Zhengzhou Hospital of Beijing Children's Hospital, Zhengzhou, China
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Li FX, Xie MJ, Qu SF, He D, Wu L, Liang ZK, Wu YS, Yang F, Yang XX. Detection of chromosomal abnormalities in spontaneous miscarriage by low‑coverage next‑generation sequencing. Mol Med Rep 2020; 22:1269-1276. [PMID: 32626971 PMCID: PMC7339674 DOI: 10.3892/mmr.2020.11208] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 05/07/2020] [Indexed: 12/21/2022] Open
Abstract
Chromosomal abnormalities (CAs) can cause spontaneous miscarriage and increase the incidence of subsequent pregnancy loss and other complications. Presently, CAs are detected mainly by array comparative genomic hybridization (CGH) and single nucleotide polymorphism microarrays. The present study developed a low‑coverage next‑generation sequencing method to detect CAs in spontaneous miscarriage and assess its clinical performance. In total, 1,401 patients who had experienced an abortion were enrolled in the present study and divided into two groups. In group I, 437 samples that had been previously validated by array CGH were used to establish a method to detect CAs using a semiconductor sequencing platform. In group II, 964 samples, which were not verified, were assessed using established methods with respect to clinical significance. Copy number variant (CNV)‑positive and euploidy samples were verified by array CGH and short tandem repeat profiling, respectively, based on quantitative fluorescent PCR. The low‑coverage sequencing method detected CNVs >1 Mb in length and a total of 3.5 million unique reads. Similar results to array CGH were obtained in group I, except for six CNVs <1 Mb long. In group II, there were 341 aneuploidies, 195 CNVs, 25 mosaicisms and 403 euploidies. Overall, among the 1,401 abortion samples, there were 536 aneuploidies, 263 CNVs, 34 mosaicisms, and 568 euploidies. Trisomies were present in all autosomal chromosomes. The most common aneuploidies were T16, monosomy X, T22, T15, T21 and T13. Furthermore, one tetrasomy 21, one CNV associated with Wolf‑Hirschhorn syndrome, one associated with DiGeorge syndrome and one associated with both Prader‑Willi and Angelman syndromes were identified. These four cases were confirmed by short tandem repeat profiling and array CGH. Quantitative fluorescent PCR revealed nine polyploidy samples. The present method demonstrated equivalent efficacy to that of array CGH in detecting CNVs >1 Mb, with advantages of requiring less input DNA and lower cost.
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Affiliation(s)
- Fen-Xia Li
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Mei-Juan Xie
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Shou-Fang Qu
- National Institutes for Food and Drug Control, Beijing 100050, P.R. China
| | - Dan He
- Guangzhou Darui Biotechnology Co. Ltd., Guangzhou, Guangdong 510665, P.R. China
| | - Long Wu
- Guangzhou Darui Biotechnology Co. Ltd., Guangzhou, Guangdong 510665, P.R. China
| | - Zhi-Kun Liang
- Guangzhou Darui Biotechnology Co. Ltd., Guangzhou, Guangdong 510665, P.R. China
| | - Ying-Song Wu
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Fang Yang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Xue-Xi Yang
- Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
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Chaubey A, Shenoy S, Mathur A, Ma Z, Valencia CA, Reddy Nallamilli BR, Szekeres E, Stansberry L, Liu R, Hegde MR. Low-Pass Genome Sequencing. J Mol Diagn 2020; 22:823-840. [DOI: 10.1016/j.jmoldx.2020.03.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 02/02/2020] [Accepted: 03/12/2020] [Indexed: 02/08/2023] Open
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Low-pass genome sequencing: a validated method in clinical cytogenetics. Hum Genet 2020; 139:1403-1415. [PMID: 32451733 DOI: 10.1007/s00439-020-02185-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 05/18/2020] [Indexed: 12/15/2022]
Abstract
Clinically significant copy-number variants (CNVs) known to cause human diseases are routinely detected by chromosomal microarray analysis (CMA). Recently, genome sequencing (GS) has been introduced for CNV analysis; however, sequencing depth (determined by sequencing read-length and read-amount) is a variable parameter across different laboratories. Variating sequencing depths affect the CNV detection resolution and also make it difficult for cross-laboratory referencing or comparison. In this study, by using data from 50 samples with high read-depth GS (30×) and the reported clinically significant CNVs, we first demonstrated the optimal read-amount and the most cost-effective read-length for CNV analysis to be 15 million reads and single-end 50 bp (equivalent to a read-depth of 0.25-fold), respectively. In addition, we showed that CNVs at mosaic levels as low as 30% are readily detected, furthermore, CNVs larger than 2.5 Mb are also detectable at mosaic levels as low as 20%. Herein, by conducting a retrospective back-to-back comparison study of low-pass GS versus routine CMA for 532 prenatal, miscarriage, and postnatal cases, the overall diagnostic yield was 22.4% (119/532) for CMA and 23.1% (123/532) for low-pass GS. Thus, the overall relative improvement of the diagnostic yield by low-pass GS versus CMA was ~ 3.4% (4/119). Identification of cryptic and clinically significant CNVs among prenatal, miscarriage, and postnatal cases demonstrated that CNV detection at higher resolutions is warranted for clinical diagnosis regardless of referral indications. Overall, our study supports low-pass GS as the first-tier genetic test for molecular cytogenetic testing.
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Tang J, Zhou C, Shi H, Mo Y, Tan W, Sun T, Zhu J, Li Q, Li H, Li Y, Wang S, Hong Y, Li N, Zeng Q, Tan J, Ma W, Luo L. Prenatal diagnosis of skeletal dysplasias using whole exome sequencing in China. Clin Chim Acta 2020; 507:187-193. [PMID: 32360156 DOI: 10.1016/j.cca.2020.04.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 04/04/2020] [Accepted: 04/27/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Skeletal dysplasias account for nearly 10% of fetal structural malformations detected by ultrasonography. This clinically heterogeneous group of genetic anomaly includes at least 461 genetic skeletal disorders with extreme clinical, phenotypic, and genetic heterogeneities, thus, significantly complicates accurate diagnosis. Researches have used whole exome sequencing (WES) for prenatal molecular diagnoses of skeletal dysplasias, however, data are still limited. METHODS DNA extracted from umbilical cord blood or amniocytes from fetuses suspected of skeletal dysplasias based on ultrasound evaluations were analyzed by WES. Blood samples were taken from the parents of the positive fetuses for co-segregation analysis using Sanger sequencing. RESULT Definitive molecular diagnosis was made in 6/8 (75%) cases, comprised of 5 de novo disease-causing changes in 3 genes (FGFR3, COL2A1, and COL1A2) and one proband with a biallelic deficiency for Lamin B Receptor(LBR),and including 3 novel variants. All fetuses had no detectable copy number variation (CNV) from sequencing results. CONCLUSIONS Our study suggests that WES is an efficient approach for prenatal diagnosis of fetuses suspected of skeletal abnormalities and contributes to parental genetics counseling and pregnancy management.
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Affiliation(s)
- Jia Tang
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China; Department of Medical Imaging Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510080, China.
| | - Chenglong Zhou
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China; Halo Genetics, Guangzhou, Guangdong 510000, China
| | - Haihong Shi
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China; Halo Genetics, Guangzhou, Guangdong 510000, China
| | - Yuying Mo
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Weilan Tan
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Tielan Sun
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Jinling Zhu
- Department of Biology, School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang 154007, China
| | - Qing Li
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Hui Li
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Yuping Li
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Songbai Wang
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Yan Hong
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Ning Li
- Halo Genetics, Guangzhou, Guangdong 510000, China
| | - Qinlong Zeng
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Jieliang Tan
- Medical Genetics Center, Jiangmen Maternity and Child Health Care Hospital, Jiangmen, Guangdong 529000, China
| | - Wei Ma
- Department of Biology, School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang 154007, China
| | - Liangping Luo
- Department of Medical Imaging Center, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong 510080, China.
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Lan L, Wu H, She L, Zhang B, He Y, Luo D, Wang H, Zheng Z. Analysis of copy number variation by sequencing in fetuses with nuchal translucency thickening. J Clin Lab Anal 2020; 34:e23347. [PMID: 32342531 PMCID: PMC7439336 DOI: 10.1002/jcla.23347] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/30/2020] [Accepted: 04/03/2020] [Indexed: 12/20/2022] Open
Abstract
Objective Copy number variation sequencing (CNV‐seq) technique was used to analyze the genetic etiology of fetuses with increased nuchal translucency (NT). Methods A total of 139 women with gestational 11‐14 weeks whose fetuses were detected with increased NT (NT ≥ 2.5 mm) in our hospital from July 2016 to December 2018 were selected. Fetal specimens were performed for karyotyping analysis and CNV sequencing. Results According to the nuchal translucency thickness, 2.5‐3.4, 3.5‐4.4, 4.5‐5.4, and more than 5.5 mm, the rates of chromosomal abnormalities were 22.8% (13/57), 30.8% (12/39), 42.1% (8/19), and 62.5% (15/24), respectively. There was significant difference among the incidences of chromosomal abnormalities in four groups (χ2 = 37.69, P < .01) and the incidences increased with fetal NT thickness. Among 139 cases, there were 36 cases (25.9%) with abnormal chromosome karyotypes. Meanwhile, there were 45 cases (32.3%) with abnormal CNV. In the 12 cases with abnormal CNV and normal chromosome karyotypes, there were 2 cases of pathogenic CNV, 7 cases of CNV with unknown clinical significance, and 3 cases of possibly benign CNV. There was no significant difference in CNV between pregnant women in advanced maternal age and those in normal maternal age (χ2 = 1.389, P = .239). In the fetus who showed abnormalities in NT and ultrasonography (χ2 = 5.13, P < .05) and the fetus aborted (χ2 = 113.19, P < .05), the abnormal rate of CNV was higher with statistically significant difference. Conclusion CNV‐seq combined karyotype analysis should be performed simultaneously in fetuses with increased NT, providing a basis for genetic counseling, which is of great significance for prenatal diagnosis.
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Affiliation(s)
- Liubing Lan
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Department of Obstetrics, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Meizhou Municipal Engineering and Technology Research Center for Molecular Diagnostics of Major Genetic Disorders, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China
| | - Heming Wu
- Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Meizhou Municipal Engineering and Technology Research Center for Molecular Diagnostics of Major Genetic Disorders, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China
| | - Lingna She
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Meizhou Municipal Engineering and Technology Research Center for Molecular Diagnostics of Major Genetic Disorders, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China
| | - Bosen Zhang
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Department of Obstetrics, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Meizhou Municipal Engineering and Technology Research Center for Molecular Diagnostics of Major Genetic Disorders, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China
| | - Yanhong He
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Department of Obstetrics, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Meizhou Municipal Engineering and Technology Research Center for Molecular Diagnostics of Major Genetic Disorders, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China
| | - Dandan Luo
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Department of Obstetrics, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Meizhou Municipal Engineering and Technology Research Center for Molecular Diagnostics of Major Genetic Disorders, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China
| | - Huaxian Wang
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Meizhou Municipal Engineering and Technology Research Center for Molecular Diagnostics of Major Genetic Disorders, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China
| | - Zhiyuan Zheng
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Meizhou Municipal Engineering and Technology Research Center for Molecular Diagnostics of Major Genetic Disorders, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China
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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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Abstract
We report a sensitive PCR-based assay called Repetitive Element AneupLoidy Sequencing System (RealSeqS) that can detect aneuploidy in samples containing as little as 3 pg of DNA. Using a single primer pair, we amplified ∼350,000 amplicons distributed throughout the genome. Aneuploidy was detected in 49% of liquid biopsies from a total of 883 nonmetastatic, clinically detected cancers of the colorectum, esophagus, liver, lung, ovary, pancreas, breast, or stomach. Combining aneuploidy with somatic mutation detection and eight standard protein biomarkers yielded a median sensitivity of 80% in these eight cancer types, while only 1% of 812 healthy controls scored positive.
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Xu J, Chen M, Liu QY, Hu SQ, Li LR, Li J, Ma RM. Detecting trisomy in products of conception from first-trimester spontaneous miscarriages by next-generation sequencing (NGS). Medicine (Baltimore) 2020; 99:e18731. [PMID: 32000376 PMCID: PMC7004681 DOI: 10.1097/md.0000000000018731] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Miscarriage is the spontaneous loss of a clinically established intrauterine pregnancy before the fetus has reached viability. In order to compare the performance of traditional G banding karyotyping with next-generation sequencing (NGS) for detecting common trisomies in products of conception (POC). Chromosome abnormalities were detected by high-resolution G banding karyotyping and NGS. A total of 48 miscarriage samples, including 20 samples without karyotype result and 28 with karyotype results were selected and coded for analysis by NGS. The multiplex PCR analysis of maternal and miscarriage DNA for single nucleotide polymorphism (SNP) markers were used to simultaneously monitor maternal cell contamination (MCC), chromosomal status, and sex of the miscarriage tissue. NGS detection results of 21 chromosome abnormalities were consisted with that in karyotyping examination. These chromosome abnormalities samples included 9 chromosome 16 trisomies, 3 chromosome 22 trisomies, 2 chromosome 7 trisomies, 2 chromosome 18 trisomies, 1 chromosome 4 trisomies, one chromosome 10 trisomies, 1 chromosome 13 trisomies, 1 chromosome 15 trisomies and 1 sex chromosomal aneuploidies (45, X). Meanwhile, NGS analysis of seven chromosome normalities was adapted to the karyotyping examination. Therefore, NGS combined with multiplex PCR is an effective method to test trisomies in POC. The results mentioned above will contribute to a detailed understanding of the first-trimester spontaneous miscarriages.
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Affiliation(s)
- Jing Xu
- First Affiliated Hospital of Kunming Medical University, Kunming
| | - Min Chen
- Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qi Yun Liu
- First Affiliated Hospital of Kunming Medical University, Kunming
| | - Shun Qin Hu
- First Affiliated Hospital of Kunming Medical University, Kunming
| | - Li Rui Li
- First Affiliated Hospital of Kunming Medical University, Kunming
| | - Jia Li
- First Affiliated Hospital of Kunming Medical University, Kunming
| | - Run Mei Ma
- First Affiliated Hospital of Kunming Medical University, Kunming
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66
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Wang Z, Zhang L, He L, Cui D, Liu C, Yin L, Zhang M, Jiang L, Gong Y, Wu W, Liu B, Li X, Cram DS, Liu D. Low-depth whole genome sequencing reveals copy number variations associated with higher pathologic grading and more aggressive subtypes of lung non-mucinous adenocarcinoma. Chin J Cancer Res 2020; 32:334-346. [PMID: 32694898 PMCID: PMC7369181 DOI: 10.21147/j.issn.1000-9604.2020.03.05] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Objective Histology grade, subtypes and TNM stage of lung adenocarcinomas are useful predictors of prognosis and survival. The aim of the study was to investigate the relationship between chromosomal instability, morphological subtypes and the grading system used in lung non-mucinous adenocarcinoma (LNMA). Methods We developed a whole genome copy number variation (WGCNV) scoring system and applied next generation sequencing to evaluate CNVs present in 91 LNMA tumor samples. Results Higher histological grades, aggressive subtypes and more advanced TNM staging were associated with an increased WGCNV score, particularly in CNV regions enriched for tumor suppressor genes and oncogenes. In addition, we demonstrate that 24-chromosome CNV profiling can be performed reliably from specific cell types (<100 cells) isolated by sample laser capture microdissection. Conclusions Our findings suggest that the WGCNV scoring system we developed may have potential value as an adjunct test for predicting the prognosis of patients diagnosed with LNMA.
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Affiliation(s)
- Zheng Wang
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Lin Zhang
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Lei He
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Di Cui
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Chenglong Liu
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Liangyu Yin
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Min Zhang
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Lei Jiang
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Yuyan Gong
- Berry Genomics Corporation, Beijing 102206, China
| | - Wang Wu
- Berry Genomics Corporation, Beijing 102206, China
| | - Bi Liu
- Berry Genomics Corporation, Beijing 102206, China
| | - Xiaoyu Li
- Berry Genomics Corporation, Beijing 102206, China
| | - David S Cram
- Berry Genomics Corporation, Beijing 102206, China
| | - Dongge Liu
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
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Zhao G, Dai P, Gao S, Zhao X, Wang C, Liu L, Kong X. A case of prenatal diagnosis of 18p deletion syndrome following noninvasive prenatal testing. Mol Cytogenet 2019; 12:53. [PMID: 31890033 PMCID: PMC6925888 DOI: 10.1186/s13039-019-0464-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 12/06/2019] [Indexed: 12/21/2022] Open
Abstract
Background Chromosome 18p deletion syndrome is a disease caused by the complete or partial deletion of the short arm of chromosome 18, there were few cases reported about the prenatal diagnosis of 18p deletion syndrome. Noninvasive prenatal testing (NIPT) is widely used in the screening of common fetal chromosome aneuploidy. However, the segmental deletions and duplications should also be concerned. Except that some cases had increased nuchal translucency or holoprosencephaly, most of the fetal phenotype of 18p deletion syndrome may not be evident during the pregnancy, 18p deletion syndrome was always accidentally discovered during the prenatal examination. Case presentations In our case, we found a pure partial monosomy 18p deletion during the confirmation of the result of NIPT by copy number variation sequencing (CNV-Seq). The result of NIPT suggested that there was a partial or complete deletion of X chromosome. The amniotic fluid karyotype was normal, but result of CNV-Seq indicated a 7.56 Mb deletion on the short arm of chromosome 18 but not in the couple, which means the deletion was de novo deletion. Finally, the parents chose to terminate the pregnancy. Conclusions To our knowledge, this is the first case of prenatal diagnosis of 18p deletion syndrome following NIPT.NIPT combined with ultrasound may be a relatively efficient method to screen chromosome microdeletions especially for the 18p deletion syndrome.
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Affiliation(s)
- Ganye Zhao
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Gene Editing of Human Genetic Disease, Erqi District, Zhengzhou, China
| | - Peng Dai
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Gene Editing of Human Genetic Disease, Erqi District, Zhengzhou, China
| | - Shanshan Gao
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Gene Editing of Human Genetic Disease, Erqi District, Zhengzhou, China
| | - Xuechao Zhao
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Gene Editing of Human Genetic Disease, Erqi District, Zhengzhou, China
| | - Conghui Wang
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Gene Editing of Human Genetic Disease, Erqi District, Zhengzhou, China
| | - Lina Liu
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Gene Editing of Human Genetic Disease, Erqi District, Zhengzhou, China
| | - Xiangdong Kong
- Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Gene Editing of Human Genetic Disease, Erqi District, Zhengzhou, China
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Whitford W, Lehnert K, Snell RG, Jacobsen JC. RBV: Read balance validator, a tool for prioritising copy number variations in germline conditions. Sci Rep 2019; 9:16934. [PMID: 31729446 PMCID: PMC6858463 DOI: 10.1038/s41598-019-53181-7] [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: 07/17/2018] [Accepted: 10/25/2019] [Indexed: 11/11/2022] Open
Abstract
The popularisation and decreased cost of genome resequencing has resulted in an increased use in molecular diagnostics. While there are a number of established and high quality bioinfomatic tools for identifying small genetic variants including single nucleotide variants and indels, currently there is no established standard for the detection of copy number variants (CNVs) from sequence data. The requirement for CNV detection from high throughput sequencing has resulted in the development of a large number of software packages. These tools typically utilise the sequence data characteristics: read depth, split reads, read pairs, and assembly-based techniques. However, the additional source of information from read balance (defined as relative proportion of reads of each allele at each position) has been underutilised in the existing applications. Here we present Read Balance Validator (RBV), a bioinformatic tool that uses read balance for prioritisation and validation of putative CNVs. The software simultaneously interrogates nominated regions for the presence of deletions or multiplications, and can differentiate larger CNVs from diploid regions. Additionally, the utility of RBV to test for inheritance of CNVs is demonstrated in this report. RBV is a CNV validation and prioritisation bioinformatic tool for both genome and exome sequencing available as a python package from https://github.com/whitneywhitford/RBV.
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Affiliation(s)
- Whitney Whitford
- School of Biological Sciences, The University of Auckland, Auckland, New Zealand. .,Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
| | - Klaus Lehnert
- School of Biological Sciences, The University of Auckland, Auckland, New Zealand.,Centre for Brain Research, The University of Auckland, Auckland, New Zealand
| | - Russell G Snell
- School of Biological Sciences, The University of Auckland, Auckland, New Zealand.,Centre for Brain Research, The University of Auckland, Auckland, New Zealand
| | - Jessie C Jacobsen
- School of Biological Sciences, The University of Auckland, Auckland, New Zealand.,Centre for Brain Research, The University of Auckland, Auckland, New Zealand
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69
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Shi P, Li R, Wang C, Kong X. Influence of validating the parental origin on the clinical interpretation of fetal copy number variations in 141 core family cases. Mol Genet Genomic Med 2019; 7:e00944. [PMID: 31475483 PMCID: PMC6785431 DOI: 10.1002/mgg3.944] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 08/07/2019] [Indexed: 01/08/2023] Open
Abstract
Background The sources and variants types of the copy number variations (CNVs) in prenatal fetal, and the critical role of parental origin on the interpretation of fetal CNVs are unclear. Methods One hundred and forty‐one prenatal core families with abnormal CNVs were selected and performed by low‐coverage massively parallel CNV sequencing (CNV‐seq). Results The data showed that 72.3% of fetal CNVs were derived from parents, and 27.7% were new variations. Sixty‐three cases were heterozygous deletion, 70 cases were threefold duplication, six cases were complex deletion and duplication, and two cases were fourfold repeats. That means the rate of heterozygous deletion and duplication was approximate one. In addition, in parental‐derived fetal abnormal CNVs reports, before validating parental origin, 62 CNVs were variants of uncertain significance (VUS), 15 CNVs were likely benign, 20 CNVs were likely pathogenic, and 5 CNVs were pathogenic. However, after validating parental origin, the total clinical significance changed into 12 VUS, 89 likely benign, 1 likely pathogenic, and 0 pathogenic. The clinical interpretation of 78.4% fetal CNVs was changed and tended to be benign after parental CNVs were detected. Besides, we followed up all families. 93.3% parental‐derived fetal and 30.3% fetus in new mutation group were born healthy. Conclusion Parental origin verification has an important significance for interpretation on the clinical significance of fetal CNVs.
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Affiliation(s)
- Panlai Shi
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Rui Li
- Genetic and Prenatal Screening Center, Maternal and Child Health Hospital of Jiaozuo, Jiozuo, China
| | - Conghui Wang
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiangdong Kong
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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70
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Zhao X, Fu L. Efficacy of copy-number variation sequencing technology in prenatal diagnosis. J Perinat Med 2019; 47:651-655. [PMID: 31287799 DOI: 10.1515/jpm-2019-0005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 06/05/2019] [Indexed: 01/27/2023]
Abstract
Background Classical karyotyping and copy-number variation sequencing (CNV-seq) are useful methods for the prenatal detection of chromosomal abnormalities. Here, we examined the potential of using a combination of the two methods for improved and accurate diagnosis. Methods From February 2013 to January 2018, 64 pregnant women showing indications for fetal chromosomal examination in the affiliated hospital of the Inner Mongolia Medical University were selected for this study. Amniotic fluid was collected and used for karyotype analysis and CNV-seq. Results Karyotype analysis of the 64 cases showed that six cases (9.38%) had chromosomal abnormalities. Using CNV-seq, in addition to three cases with numerical abnormalities of chromosomes, 14 cases were detected with CNV, of which five were pathogenic CNV, four were of uncertain clinical significance and five were polymorphic CNV. However, CNV-seq failed to detect one case with sex chromosome mosaicism and a balanced translocation carrier. The rate of abnormal chromosome and CNV detection was 26.56% (17/64) by CNV-seq. Conclusion Application of CNV-seq in prenatal diagnosis could allow the detection of submicroscopic chromosomal abnormalities and effectively reduce the birth of children with microdeletion and microduplication syndrome. Additionally, the combined application of karyotype analysis and CNV-seq can effectively improve the detection rate of chromosome abnormalities.
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Affiliation(s)
- Xiaoxi Zhao
- Department of Gynecology and Obstetrics, Affiliate Hospital of Inner Mongolia Medical University, Hohhot 010050, Inner Mongolia, P.R. China
| | - Lin Fu
- The Ultrasonic Department, Affiliate Hospital of Inner Mongolia Medical University, Hohhot 010050, Inner Mongolia, P.R. China
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71
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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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Raman L, Dheedene A, De Smet M, Van Dorpe J, Menten B. WisecondorX: improved copy number detection for routine shallow whole-genome sequencing. Nucleic Acids Res 2019; 47:1605-1614. [PMID: 30566647 PMCID: PMC6393301 DOI: 10.1093/nar/gky1263] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 11/09/2018] [Accepted: 12/06/2018] [Indexed: 12/16/2022] Open
Abstract
Shallow whole-genome sequencing to infer copy number alterations (CNAs) in the human genome is rapidly becoming the method par excellence for routine diagnostic use. Numerous tools exist to deduce aberrations from massive parallel sequencing data, yet most are optimized for research and often fail to redeem paramount needs in a clinical setting. Optimally, a read depth-based analytical software should be able to deal with single-end and low-coverage data-this to make sequencing costs feasible. Other important factors include runtime, applicability to a variety of analyses and overall performance. We compared the most important aspect, being normalization, across six different CNA tools, selected for their assumed ability to satisfy the latter needs. In conclusion, WISECONDOR, which uses a within-sample normalization technique, undoubtedly produced the best results concerning variance, distributional assumptions and basic ability to detect true variations. Nonetheless, as is the case with every tool, WISECONDOR has limitations, which arise through its exclusiveness for non-invasive prenatal testing. Therefore, this work presents WisecondorX in addition, an improved WISECONDOR that enables its use for varying types of applications. WisecondorX is freely available at https://github.com/CenterForMedicalGeneticsGhent/WisecondorX.
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Affiliation(s)
- Lennart Raman
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
- Center for Medical Genetics Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Annelies Dheedene
- Center for Medical Genetics Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Matthias De Smet
- Center for Medical Genetics Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Björn Menten
- Center for Medical Genetics Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
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Zhang R, Chen X, Wang D, Chen X, Wang C, Zhang Y, Xu M, Yu J. Prevalence of chromosomal abnormalities identified by copy number variation sequencing in high-risk pregnancies, spontaneous abortions, and suspected genetic disorders. J Int Med Res 2019; 47:1169-1178. [PMID: 30732499 PMCID: PMC6421393 DOI: 10.1177/0300060518818020] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Objective High-throughput sequencing based on copy number variation (CNV-seq) is
commonly used to detect chromosomal abnormalities including aneuploidy. This
study provides evidence for the prevalence of chromosomal abnormalities in
target populations. Methods A total of 160 samples, including 83 high-risk pregnancies, 37 spontaneous
abortions, and 40 suspected genetic disorders, were analyzed by CNV-seq.
Relationships between the incidence of these chromosomal abnormalities and
risk factors (e.g. advanced maternal age, abnormal pregnancy history, and
family history of congenital disease) were further analyzed by subgroup. Results A total of 37 (44.6%) high-risk pregnancies, 25 (67.6%) spontaneous
abortions, and 22 (55%) suspected genetic disorders had chromosomal
abnormalities including aneuploidy and CNVs. There was an increased risk
association between the prevalence of aneuploidy and pathogenic-relevant CNV
in the fetus or abortive tissue and advanced maternal age. Moreover, a
family history of congenital disease was also positively correlated with
fetal chromosomal abnormalities in high-risk pregnancies. Conclusion A relatively high prevalence of chromosomal abnormalities was detected in
high-risk pregnancies, spontaneous abortions, and suspected genetic
disorders, indicating the importance of CNV detection in such
populations.
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Affiliation(s)
- Rui Zhang
- 1 Prenatal Diagnosis Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.,2 Scientific Research Centre, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Dong Wang
- 2 Scientific Research Centre, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xuan Chen
- 4 Department of Obstetrics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chao Wang
- 1 Prenatal Diagnosis Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yuhong Zhang
- 1 Prenatal Diagnosis Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | - Jingcui Yu
- 2 Scientific Research Centre, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
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Inhibition of TRPC1 prevents cardiac hypertrophy via NF-κB signaling pathway in human pluripotent stem cell-derived cardiomyocytes. J Mol Cell Cardiol 2019; 126:143-154. [DOI: 10.1016/j.yjmcc.2018.10.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 10/08/2018] [Accepted: 10/22/2018] [Indexed: 11/19/2022]
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Chen K, Dong SS, Wu N, Wu ZH, Zhou YX, Li K, Zhang F, Xiao JH. A novel multiplex fluorescent competitive PCR for copy number variation detection. Genomics 2018; 111:1745-1751. [PMID: 30529537 DOI: 10.1016/j.ygeno.2018.11.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 11/09/2018] [Accepted: 11/28/2018] [Indexed: 10/27/2022]
Abstract
The copy number variation (CNV) is an important genetic marker in cancer and other diseases. To detect CNVs of specific genetic loci, the multiplex ligation-dependent probe amplification (MLPA) is an appropriate approach, but the experimental optimization and probe synthesis are still great challenges. The multiplex competitive PCR is an alternative method for CNV detection. However, the construction of internal competitive template and establishment of a stable multiplex PCR system are the main limiting factors for this method. Here, we introduce a novel multiplex fluorescent competitive PCR (NMFC-PCR) for detecting CNVs. In this method, the blunt hairpin primers are used to rapidly establish a stable multiplex PCR system due to the reduction of non-specific amplification, and limited cycles' amplification is used to obtain the internal competitive template instead of artificial synthesis. With this method, we tested 21 clinical samples with potential LIM homeobox 1 (LHX1) or T-box 6 (TBX6) deletion. Every three segments located on the LHX1 and TBX6 were selected as the target regions, while two segments located on X-chromosome and five segments located on autosome were selected as the reference regions for detecting CNVs. The results showed that the gender information of 21 samples can be accurately inferred by the copy number ratio (CNR) of X-chromosomal reference region to autosomal reference region (X/A), and 2 samples had one copy of LHX1 and 9 samples had one copy of TBX6. To evaluate the accuracy of NMFC-PCR, 5 random samples with CNV were also detected by array-based comparative genomic hybridization (aCGH), and the results of aCGH were consistent with the NMFC-PCR results. To further assess the performance of NMFC-PCR, 60 normal samples were simultaneously tested. The results showed that the gender results were exactly the same as known information, and CNVs of LHX1 or TBX6 were not found. In conclusion, the method is a cheap, efficient, accurate, and convenient competitive PCR method for CNV detection.
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Affiliation(s)
- Ke Chen
- College of Environmental Science and Engineering, Donghua University, Shanghai, China
| | - Shuang-Shuang Dong
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering at School of Life Sciences, Institute of Reproduction and Development, Fudan University, Shanghai, China; Key Laboratory of Reproduction Regulation of NHFPC, Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China; Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, China
| | - Nan Wu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China; Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China; Medical Research Center of Orthopedics, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhi-Hong Wu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China; Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China; Medical Research Center of Orthopedics, Chinese Academy of Medical Sciences, Beijing, China
| | - Yu-Xun Zhou
- Institute of Biological Sciences and Biotechnology, Donghua University, Shanghai, China
| | - Kai Li
- Institute of Biological Sciences and Biotechnology, Donghua University, Shanghai, China
| | - Feng Zhang
- Obstetrics and Gynecology Hospital, State Key Laboratory of Genetic Engineering at School of Life Sciences, Institute of Reproduction and Development, Fudan University, Shanghai, China; Key Laboratory of Reproduction Regulation of NHFPC, Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China; Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, China.
| | - Jun-Hua Xiao
- Institute of Biological Sciences and Biotechnology, Donghua University, Shanghai, China.
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Wang J, Chen L, Zhou C, Wang L, Xie H, Xiao Y, Zhu H, Hu T, Zhang Z, Zhu Q, Liu Z, Liu S, Wang H, Xu M, Ren Z, Yu F, Cram DS, Liu H. Prospective chromosome analysis of 3429 amniocentesis samples in China using copy number variation sequencing. Am J Obstet Gynecol 2018; 219:287.e1-287.e18. [PMID: 29852155 DOI: 10.1016/j.ajog.2018.05.030] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 04/25/2018] [Accepted: 05/22/2018] [Indexed: 11/15/2022]
Abstract
BACKGROUND Next-generation sequencing is emerging as a viable alternative to chromosome microarray analysis for the diagnosis of chromosome disease syndromes. One next-generation sequencing methodology, copy number variation sequencing, has been shown to deliver high reliability, accuracy, and reproducibility for detection of fetal copy number variations in prenatal samples. However, its clinical utility as a first-tier diagnostic method has yet to be demonstrated in a large cohort of pregnant women referred for fetal chromosome testing. OBJECTIVE We sought to evaluate copy number variation sequencing as a first-tier diagnostic method for detection of fetal chromosome anomalies in a general population of pregnant women with high-risk prenatal indications. STUDY DESIGN This was a prospective analysis of 3429 pregnant women referred for amniocentesis and fetal chromosome testing for different risk indications, including advanced maternal age, high-risk maternal serum screening, and positivity for an ultrasound soft marker. Amniocentesis was performed by standard procedures. Amniocyte DNA was analyzed by copy number variation sequencing with a chromosome resolution of 0.1 Mb. Fetal chromosome anomalies including whole chromosome aneuploidy and segmental imbalances were independently confirmed by gold standard cytogenetic and molecular methods and their pathogenicity determined following guidelines of the American College of Medical Genetics for sequence variants. RESULTS Clear interpretable copy number variation sequencing results were obtained for all 3429 amniocentesis samples. Copy number variation sequencing identified 3293 samples (96%) with a normal molecular karyotype and 136 samples (4%) with an altered molecular karyotype. A total of 146 fetal chromosome anomalies were detected, comprising 46 whole chromosome aneuploidies (pathogenic), 29 submicroscopic microdeletions/microduplications with known or suspected associations with chromosome disease syndromes (pathogenic), 22 other microdeletions/microduplications (likely pathogenic), and 49 variants of uncertain significance. Overall, the cumulative frequency of pathogenic/likely pathogenic and variants of uncertain significance chromosome anomalies in the patient cohort was 2.83% and 1.43%, respectively. In the 3 high-risk advanced maternal age, high-risk maternal serum screening, and ultrasound soft marker groups, the most common whole chromosome aneuploidy detected was trisomy 21, followed by sex chromosome aneuploidies, trisomy 18, and trisomy 13. Across all clinical indications, there was a similar incidence of submicroscopic copy number variations, with approximately equal proportions of pathogenic/likely pathogenic and variants of uncertain significance copy number variations. If karyotyping had been used as an alternate cytogenetics detection method, copy number variation sequencing would have returned a 1% higher yield of pathogenic or likely pathogenic copy number variations. CONCLUSION In a large prospective clinical study, copy number variation sequencing delivered high reliability and accuracy for identifying clinically significant fetal anomalies in prenatal samples. Based on key performance criteria, copy number variation sequencing appears to be a well-suited methodology for first-tier diagnosis of pregnant women in the general population at risk of having a suspected fetal chromosome abnormality.
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Affiliation(s)
- Jing Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Lin Chen
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Cong Zhou
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Li Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Hanbing Xie
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Yuanyuan Xiao
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Hongmei Zhu
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Ting Hu
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Zhu Zhang
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Qian Zhu
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Zhiying Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Shanlin Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - He Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China
| | - Mengnan Xu
- Berry Genomics Corporation, Beijing, China
| | - Zhilin Ren
- Berry Genomics Corporation, Beijing, China
| | - Fuli Yu
- Berry Genomics Corporation, Beijing, China; Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | | | - Hongqian Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University and the Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, China.
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77
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Zhou B, Ho SS, Zhang X, Pattni R, Haraksingh RR, Urban AE. Whole-genome sequencing analysis of CNV using low-coverage and paired-end strategies is efficient and outperforms array-based CNV analysis. J Med Genet 2018; 55:735-743. [PMID: 30061371 DOI: 10.1136/jmedgenet-2018-105272] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 05/16/2018] [Accepted: 06/26/2018] [Indexed: 11/03/2022]
Abstract
BACKGROUND Copy number variation (CNV) analysis is an integral component of the study of human genomes in both research and clinical settings. Array-based CNV analysis is the current first-tier approach in clinical cytogenetics. Decreasing costs in high-throughput sequencing and cloud computing have opened doors for the development of sequencing-based CNV analysis pipelines with fast turnaround times. We carry out a systematic and quantitative comparative analysis for several low-coverage whole-genome sequencing (WGS) strategies to detect CNV in the human genome. METHODS We compared the CNV detection capabilities of WGS strategies (short insert, 3 kb insert mate pair and 5 kb insert mate pair) each at 1×, 3× and 5× coverages relative to each other and to 17 currently used high-density oligonucleotide arrays. For benchmarking, we used a set of gold standard (GS) CNVs generated for the 1000 Genomes Project CEU subject NA12878. RESULTS Overall, low-coverage WGS strategies detect drastically more GS CNVs compared with arrays and are accompanied with smaller percentages of CNV calls without validation. Furthermore, we show that WGS (at ≥1× coverage) is able to detect all seven GS deletion CNVs >100 kb in NA12878, whereas only one is detected by most arrays. Lastly, we show that the much larger 15 Mbp Cri du chat deletion can be readily detected with short-insert paired-end WGS at even just 1× coverage. CONCLUSIONS CNV analysis using low-coverage WGS is efficient and outperforms the array-based analysis that is currently used for clinical cytogenetics.
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Affiliation(s)
- Bo Zhou
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Steve S Ho
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Xianglong Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Reenal Pattni
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Rajini R Haraksingh
- Department of Life Sciences, The University of the West Indies, Saint Augustine, Trinidad and Tobago
| | - Alexander E Urban
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.,Program on Genetics of Brain Function, Stanford Center for Genomics and Personalized Medicine, Tasha and John Morgridge Faculty Scholar, Stanford Child Health Research Institute, Stanford University, Stanford, California, USA
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Cheung SW, Bi W. Novel applications of array comparative genomic hybridization in molecular diagnostics. Expert Rev Mol Diagn 2018; 18:531-542. [PMID: 29848116 DOI: 10.1080/14737159.2018.1479253] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
INTRODUCTION In 2004, the implementation of array comparative genomic hybridization (array comparative genome hybridization [CGH]) into clinical practice marked a new milestone for genetic diagnosis. Array CGH and single-nucleotide polymorphism (SNP) arrays enable genome-wide detection of copy number changes in a high resolution, and therefore microarray has been recognized as the first-tier test for patients with intellectual disability or multiple congenital anomalies, and has also been applied prenatally for detection of clinically relevant copy number variations in the fetus. Area covered: In this review, the authors summarize the evolution of array CGH technology from their diagnostic laboratory, highlighting exonic SNP arrays developed in the past decade which detect small intragenic copy number changes as well as large DNA segments for the region of heterozygosity. The applications of array CGH to human diseases with different modes of inheritance with the emphasis on autosomal recessive disorders are discussed. Expert commentary: An exonic array is a powerful and most efficient clinical tool in detecting genome wide small copy number variants in both dominant and recessive disorders. However, whole-genome sequencing may become the single integrated platform for detection of copy number changes, single-nucleotide changes as well as balanced chromosomal rearrangements in the near future.
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Affiliation(s)
- Sau W Cheung
- a Department of Molecular and Human Genetics , Baylor College of Medicine , Houston , TX , USA
| | - Weimin Bi
- a Department of Molecular and Human Genetics , Baylor College of Medicine , Houston , TX , USA.,b Baylor Genetics , Houston , TX , USA
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79
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Wang J, Chen L, Zhou C, Wang L, Xie H, Xiao Y, Yin D, Zeng Y, Tang F, Yang Y, Zhu H, Chen X, Zhu Q, Liu Z, Liu H. Identification of copy number variations among fetuses with ultrasound soft markers using next-generation sequencing. Sci Rep 2018; 8:8134. [PMID: 29802277 PMCID: PMC5970175 DOI: 10.1038/s41598-018-26555-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 05/14/2018] [Indexed: 11/18/2022] Open
Abstract
A prospective analysis investigating the associations between pathogenic copy number variations (pCNVs) and ultrasound soft markers (USMs) in fetuses and evaluating the clinical value of copy number variation sequencing (CNV-seq) in such pregnancy studies was carried out. 3,398 unrelated Chinese women with singleton pregnancies and undergone amniocentesis at 18–36 weeks of gestation for fetal CNV-seq were included. According to the prenatal fetal ultrasound screening results, the samples were divided into 3 groups: normal ultrasound (n = 2616), solitary USM (n = 663), and two or more USMs (n = 119). CNV-seq was performed successfully using all samples. The prevalence of pCNVs in fetuses with normal ultrasound and USMs was 3.03% (79/2616) and 2.94% (23/782), respectively. The risk of segmental aneuploidies was significantly higher in the two or more USMs group (5/119, 4.20%) than in the normal ultrasound (27/2616, 1.04%) or solitary USM (9/663, 1.36%) groups (p = 0.002 and p = 0.031, respectively). Assuming that the resolution of karyotyping is ~5 Mb, a cytogenetic analysis would miss 33 of 102 (32.35%) pCNVs in these samples. Our results suggest an association between pCNVs and fetal USMs; multiple USMs indicate an increased risk of fetal segmental aneuploidies. In prenatal diagnostic testing, CNV-Seq identified additional, clinically significant cytogenetic information.
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Affiliation(s)
- Jing Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Lin Chen
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Cong Zhou
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Li Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Hanbing Xie
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Yuanyuan Xiao
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Daishu Yin
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Yang Zeng
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Feng Tang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Yunyuan Yang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Hongmei Zhu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Xinlian Chen
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Qian Zhu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Zhiying Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Hongqian Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China. .,Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, 610041, China.
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80
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Tan H, Chen X, Lv W, Linpeng S, Liang D, Wu L. Truncating mutations of HIBCH tend to cause severe phenotypes in cases with HIBCH deficiency: a case report and brief literature review. J Hum Genet 2018; 63:851-855. [DOI: 10.1038/s10038-018-0461-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 03/09/2018] [Accepted: 03/31/2018] [Indexed: 11/09/2022]
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81
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Two cases of complex balanced autosomal translocations associated with severe oligozoospermia. Gene 2018; 663:126-130. [PMID: 29684482 DOI: 10.1016/j.gene.2018.04.052] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 03/21/2018] [Accepted: 04/18/2018] [Indexed: 11/24/2022]
Abstract
Complex balanced autosomal translocation is rare and can lead to impaired spermatogenesis in males; however, its effects on oligozoospermia have rarely been reported. We report here two cases of rare complex balanced translocation in men with infertility. The karyotype of the first case was 46,XY,der(1)t(1;12)(p22;p11.2)ins(9;1)(p24;q25q23),der(9)ins(9;1),der(12)t(1;12)·ish der(1)t(1;12)(RP11-636B1+;RP11-659D23+)ins(9;1)(RP11-118P13+),der(9)ins(9;1),der(12)t(1;12). And the patient showed severe oligozoospermia with adult schizophrenia without other abnormalities. The karyotype of the second patient was 46,XY,der(5)t(5;11)(q14;p11.2),der(11)t(11;18)(p11.2;q11.2),der(18)t(5,18)(q14;p11.3)add(18)(q11.2?)·ish der(5)t(5;11)(RP11-846K3+,RP11-89B9+),der(11)t(11;18)(RP11-89B9-,RP11-170L12+,RP11-469N6+),der(18)t(5;18)(RP11-125L2+,RP11-29M13+)add(18)(q11.2?), and the patient displayed severe oligozoospermia without other abnormalities. The two cases were verified by fluorescent in situ hybridization, and no abnormalities were found by genome-wide copy number variation analysis. To our knowledge, these two cases of complex autosomal karyotypes have not been reported previously. Although rare, these cases suggest that complex balanced translocations may be important causes of oligozoospermia. We speculate that the balanced translocation hinders germ cell meiosis and causes impaired spermatogenesis. Accordingly, the two reported patients have very low probabilities of giving birth to a normal child; therefore, we suggest choosing donor semen or adopting a child.
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82
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Mapping allele with resolved carrier status of Robertsonian and reciprocal translocation in human preimplantation embryos. Proc Natl Acad Sci U S A 2017; 114:E8695-E8702. [PMID: 28973897 DOI: 10.1073/pnas.1715053114] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Reciprocal translocations (RecT) and Robertsonian translocations (RobT) are among the most common chromosomal abnormalities that cause infertility and birth defects. Preimplantation genetic testing for aneuploidy using comprehensive chromosome screening for in vitro fertilization enables embryo selection with balanced chromosomal ploidy; however, it is normally unable to determine whether an embryo is a translocation carrier. Here we report a method named "Mapping Allele with Resolved Carrier Status" (MaReCs), which enables chromosomal ploidy screening and resolution of the translocation carrier status of the same embryo. We performed MaReCs on 108 embryos, of which 96 were from 13 RecT carriers and 12 were from three RobT carriers. Thirteen of the sixteen patients had at least one diploid embryo. We have confirmed the accuracy of our carrier status determination in amniotic fluid karyotyping of seven cases as well as in the live birth we have thus far. Therefore, MaReCs accurately enables the selection of translocation-free embryos from patients carrying chromosomal translocations. We expect MaReCs will help reduce the propagation of RecT/RobT in the human population.
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83
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Yao R, Zhang C, Yu T, Li N, Hu X, Wang X, Wang J, Shen Y. Evaluation of three read-depth based CNV detection tools using whole-exome sequencing data. Mol Cytogenet 2017; 10:30. [PMID: 28852425 PMCID: PMC5569469 DOI: 10.1186/s13039-017-0333-5] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 08/15/2017] [Indexed: 12/16/2022] Open
Abstract
Background Whole exome sequencing (WES) has been widely accepted as a robust and cost-effective approach for clinical genetic testing of small sequence variants. Detection of copy number variants (CNV) within WES data have become possible through the development of various algorithms and software programs that utilize read-depth as the main information. The aim of this study was to evaluate three commonly used, WES read-depth based CNV detection programs using high-resolution chromosomal microarray analysis (CMA) as a standard. Methods Paired CMA and WES data were acquired for 45 samples. A total of 219 CNVs (size ranged from 2.3 kb – 35 mb) identified on three CMA platforms (Affymetrix, Agilent and Illumina) were used as standards. CNVs were called from WES data using XHMM, CoNIFER, and CNVnator with modified settings. Results All three software packages detected an elevated proportion of small variants (< 20 kb) compared to CMA. XHMM and CoNIFER had poor detection sensitivity (22.2 and 14.6%), which correlated with the number of capturing probes involved. CNVnator detected most variants and had better sensitivity (87.7%); however, suffered from an overwhelming detection of small CNVs below 20 kb, which required further confirmation. Size estimation of variants was exaggerated by CNVnator and understated by XHMM and CoNIFER. Conclusion Low concordances of CNV, detected by three different read-depth based programs, indicate the immature status of WES-based CNV detection. Low sensitivity and uncertain specificity of WES-based CNV detection in comparison with CMA based CNV detection suggests that CMA will continue to play an important role in detecting clinical grade CNV in the NGS era, which is largely based on WES. Electronic supplementary material The online version of this article (doi:10.1186/s13039-017-0333-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ruen Yao
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200127 China
| | - Cheng Zhang
- Boston Children's Hospital, Boston, MA 02115 USA
| | - Tingting Yu
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200127 China
| | - Niu Li
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200127 China
| | - Xuyun Hu
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200127 China.,Boston Children's Hospital, Boston, MA 02115 USA
| | - Xiumin Wang
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200127 China
| | - Jian Wang
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200127 China
| | - Yiping Shen
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200127 China.,Boston Children's Hospital, Boston, MA 02115 USA
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84
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Dong Z, Xie W, Chen H, Xu J, Wang H, Li Y, Wang J, Chen F, Choy KW, Jiang H. Copy-Number Variants Detection by Low-Pass Whole-Genome Sequencing. ACTA ACUST UNITED AC 2017; 94:8.17.1-8.17.16. [PMID: 28696555 DOI: 10.1002/cphg.43] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Emerging studies have demonstrated that whole-genome sequencing (WGS) is an efficient tool for copy-number variants (CNV) detection, particularly in probe-poor regions, as compared to chromosomal microarray analysis (CMA). However, the cost of testing is beyond economical for routine usage and the lengthy turn-around time is not ideal for clinical implementation. In addition, the demand for computational resources also reduces the probability of clinical integration into each laboratory. Herein, a protocol providing CNV detection from low-pass, whole-genome sequencing (0.25×) in a clinical laboratory setting is described. The cost is reduced to less than $200 USD per sample and the turn-around time is within an acceptable clinically workable time-frame (7 days). © 2017 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
| | - Weiwei Xie
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Haixiao Chen
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Jinjin Xu
- 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.,Bao'an Maternal and Child Health Hospital, 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
| | - 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
| | - Hui Jiang
- BGI-Shenzhen, Shenzhen, China.,China National Genebank-Shenzhen, BGI-Shenzhen, Shenzhen, China
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85
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Chen Y, Bartanus J, Liang D, Zhu H, Breman AM, Smith JL, Wang H, Ren Z, Patel A, Stankiewicz P, Cram DS, Cheung SW, Wu L, Yu F. Characterization of chromosomal abnormalities in pregnancy losses reveals critical genes and loci for human early development. Hum Mutat 2017; 38:669-677. [PMID: 28247551 DOI: 10.1002/humu.23207] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 02/19/2017] [Accepted: 02/21/2017] [Indexed: 11/09/2022]
Abstract
Detailed characterization of chromosomal abnormalities, a common cause for congenital abnormalities and pregnancy loss, is critical for elucidating genes for human fetal development. Here, 2,186 product-of-conception samples were tested for copy-number variations (CNVs) at two clinical diagnostic centers using whole-genome sequencing and high-resolution chromosomal microarray analysis. We developed a new gene discovery approach to predict potential developmental genes and identified 275 candidate genes from CNVs detected from both datasets. Based on Mouse Genome Informatics (MGI) and Zebrafish model organism database (ZFIN), 75% of identified genes could lead to developmental defects when mutated. Genes involved in embryonic development, gene transcription, and regulation of biological processes were significantly enriched. Especially, transcription factors and gene families sharing specific protein domains predominated, which included known developmental genes such as HOX, NKX homeodomain genes, and helix-loop-helix containing HAND2, NEUROG2, and NEUROD1 as well as potential novel developmental genes. We observed that developmental genes were denser in certain chromosomal regions, enabling identification of 31 potential genomic loci with clustered genes associated with development.
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Affiliation(s)
- Yiyun Chen
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Justin Bartanus
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Desheng Liang
- State Key Lab of Medical Genetics of China Central South University, Changsha, Hunan, China
| | | | - Amy M Breman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Cytogenetics Laboratory, Baylor Miraca Genetics Laboratories, Houston, Texas
| | - Janice L Smith
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Cytogenetics Laboratory, Baylor Miraca Genetics Laboratories, Houston, Texas
| | - Hua Wang
- Hunan Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Zhilin Ren
- Berry Genomics Corporation, Beijing, China
| | - Ankita Patel
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Cytogenetics Laboratory, Baylor Miraca Genetics Laboratories, Houston, Texas
| | - Pawel Stankiewicz
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Cytogenetics Laboratory, Baylor Miraca Genetics Laboratories, Houston, Texas
| | | | - Sau Wai Cheung
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Cytogenetics Laboratory, Baylor Miraca Genetics Laboratories, Houston, Texas
| | - Lingqian Wu
- State Key Lab of Medical Genetics of China Central South University, Changsha, Hunan, China
| | - Fuli Yu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.,Berry Genomics Corporation, Beijing, China
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86
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Zhou X, Sui L, Xu Y, Song Y, Qi Q, Zhang J, Zhu H, Sun H, Tian F, Xu M, Cram DS, Liu J. Contribution of maternal copy number variations to false-positive fetal trisomies detected by noninvasive prenatal testing. Prenat Diagn 2017; 37:318-322. [PMID: 28152582 DOI: 10.1002/pd.5014] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 01/11/2017] [Accepted: 01/29/2017] [Indexed: 12/19/2022]
Affiliation(s)
- Xiya Zhou
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital; Beijing China
| | - Lili Sui
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital; Beijing China
| | - Yalan Xu
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital; Beijing China
| | - Yijun Song
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital; Beijing China
| | - Qingwei Qi
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital; Beijing China
| | | | | | - Huaiyu Sun
- Berry Genomics Corporation; Beijing China
| | - Feng Tian
- Berry Genomics Corporation; Beijing China
| | - Mengnan Xu
- Berry Genomics Corporation; Beijing China
| | | | - Juntao Liu
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital; Beijing China
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87
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Bertier G, Hétu M, Joly Y. Unsolved challenges of clinical whole-exome sequencing: a systematic literature review of end-users' views. BMC Med Genomics 2016; 9:52. [PMID: 27514372 PMCID: PMC4982236 DOI: 10.1186/s12920-016-0213-6] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 07/28/2016] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Whole-exome sequencing (WES) consists in the capture, sequencing and analysis of all exons in the human genome. Originally developed in the research context, this technology is now increasingly used clinically to inform patient care. The implementation of WES into healthcare poses significant organizational, regulatory, and ethical hurdles, which are widely discussed in the literature. METHODS In order to inform future policy decisions on the integration of WES into standard clinical practice, we performed a systematic literature review to identify the most important challenges directly reported by technology users. RESULTS Out of 2094 articles, we selected and analyzed 147 which reported a total of 23 different challenges linked to the production, analysis, reporting and sharing of patients' WES data. Interpretation of variants of unknown significance, incidental findings, and the cost and reimbursement of WES-based tests were the most reported challenges across all articles. CONCLUSIONS WES is already used in the clinical setting, and may soon be considered the standard of care for specific medical conditions. Yet, technology users are calling for certain standards and guidelines to be published before this technology replaces more focused approaches such as gene panels sequencing. In addition, a number of infrastructural adjustments will have to be made for clinics to store, process and analyze the amounts of data produced by WES.
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Affiliation(s)
- Gabrielle Bertier
- Center of Genomics and Policy, McGill University, 740 Dr. Penfield Avenue, Montreal, Quebec H3A 0G1 Canada
- UMR 1027, Inserm, University of Toulouse III - Paul Sabatier, 37 allées Jules Guesde, F-31000 Toulouse, France
| | - Martin Hétu
- Center of Genomics and Policy, McGill University, 740 Dr. Penfield Avenue, Montreal, Quebec H3A 0G1 Canada
| | - Yann Joly
- Center of Genomics and Policy, McGill University, 740 Dr. Penfield Avenue, Montreal, Quebec H3A 0G1 Canada
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88
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Liu J, Hu H, Ma N, Jia Z, Zhou Y, Hu J, Wang H. A de novo duplication of chromosome 9q34.13-qter in a fetus with Tetralogy of Fallot Syndrome. Mol Cytogenet 2016; 9:54. [PMID: 27462370 PMCID: PMC4960742 DOI: 10.1186/s13039-016-0267-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 07/19/2016] [Indexed: 01/15/2023] Open
Abstract
Background Partial duplications of the distal 9q have been rarely reported in literatures. The key features included characteristic facial appearance, long fingers and toes, slight psychomotor retardation, heart murmur et al. But rare severe congenital heart defects (CHD) such as TOF were reported to be associated with 9qter duplications. Case presentation A 23-year-old woman was referred for genetic counseling and prenatal diagnosis at 253/7 weeks of gestation due to her male fetus, diagnosed as Tetralogy of Fallot Syndrome (TOF) by prenatal ultrasound. SNP (Single nucleotide polymorphism) array revealed that the male fetus had a de novo 5.47 Mb duplication at 9q34.13-qter. Meanwhile, non-invasive prenatal testing (NIPT) using low coverage whole genome massively parallel sequencing of circulating cell-free fetal DNA (cffDNA) showed consistent results. Multiplex ligation-dependent probe amplification (MLPA) also confirmed the duplication at 9qter. Conclusion In this paper, we present an Asian fetus with TOF caused by a de novo 5.47 Mb duplication at 9q34.13-qter. Duplication of 9q34.13-qter should be considered as an etiological diagnosis in the case of TOF. Our prenatal diagnostic findings provide important information for genetic counseling on the male fetus and future pregnancies in this family. Chromosomal microarray analysis (CMA) remains the first-tier clinical diagnostic test for prenatal fetus with suspicious syndromes. We also highlight the high potential application of NIPT in the screening of sub-chromosomal rearrangement.
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Affiliation(s)
- Jing Liu
- Prenatal Diagnosis Center of Province Hunan, The Maternal and Child Health Care Hospital of Hunan province, Changsha, Hunan 410008 People's Republic of China
| | - Hao Hu
- Prenatal Diagnosis Center of Province Hunan, The Maternal and Child Health Care Hospital of Hunan province, Changsha, Hunan 410008 People's Republic of China
| | - Na Ma
- Prenatal Diagnosis Center of Province Hunan, The Maternal and Child Health Care Hospital of Hunan province, Changsha, Hunan 410008 People's Republic of China
| | - Zhengjun Jia
- Prenatal Diagnosis Center of Province Hunan, The Maternal and Child Health Care Hospital of Hunan province, Changsha, Hunan 410008 People's Republic of China
| | - Yuchun Zhou
- Prenatal Diagnosis Center of Province Hunan, The Maternal and Child Health Care Hospital of Hunan province, Changsha, Hunan 410008 People's Republic of China
| | - Jiancheng Hu
- Prenatal Diagnosis Center of Province Hunan, The Maternal and Child Health Care Hospital of Hunan province, Changsha, Hunan 410008 People's Republic of China
| | - Hua Wang
- Prenatal Diagnosis Center of Province Hunan, The Maternal and Child Health Care Hospital of Hunan province, Changsha, Hunan 410008 People's Republic of China
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Qi Q, Lu S, Zhou X, Yao F, Hao N, Yin G, Li W, Bai J, Li N, Cram DS. Copy number variation sequencing-based prenatal diagnosis using cell-free fetal DNA in amniotic fluid. Prenat Diagn 2016; 36:576-83. [PMID: 27084671 DOI: 10.1002/pd.4830] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Revised: 04/02/2016] [Accepted: 04/13/2016] [Indexed: 11/10/2022]
Affiliation(s)
- Qingwei Qi
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital (PUMCH); Beijing China
| | - Sijia Lu
- Yikon Genomics Co., Ltd; Beijing China
| | - Xiya Zhou
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital (PUMCH); Beijing China
| | - Fengxia Yao
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital (PUMCH); Beijing China
| | - Na Hao
- Department of Obstetrics and Gynecology; Peking Union Medical College Hospital (PUMCH); Beijing China
| | | | - Wenhui Li
- Yikon Genomics Co., Ltd; Beijing China
| | | | - Ning Li
- Becreative Lab Co., Ltd; Beijing China
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90
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Clinical application of next-generation sequencing in preimplantation genetic diagnosis cycles for Robertsonian and reciprocal translocations. J Assist Reprod Genet 2016; 33:899-906. [PMID: 27167073 DOI: 10.1007/s10815-016-0724-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Accepted: 04/28/2016] [Indexed: 10/21/2022] Open
Abstract
PURPOSE The purpose of this study was to apply next-generation sequencing (NGS) technology to identify chromosomally normal embryos for transfer in preimplantation genetic diagnosis (PGD) cycles for translocations. METHODS A total of 21 translocation couples with a history of infertility and repeated miscarriage presented at our PGD clinic for 24-chromosome embryo testing using copy number variation sequencing (CNV-Seq). RESULTS Testing of 98 embryo samples identified 68 aneuploid (69.4 %) and 30 (30.6 %) euploid embryos. Among the aneuploid embryos, the most common abnormalities were segmental translocation imbalances, followed by whole autosomal trisomies and monosomies, segmental imbalances of non-translocation chromosomes, and mosaicism. In all unbalanced embryos resulting from reciprocal translocations, CNV-Seq precisely identified both segmental imbalances, extending from the predicted breakpoints to the chromosome termini. From the 21 PGD cycles, eight patients had all abnormal embryos and 13 patients had at least one normal/balanced and euploid embryo available for transfer. In nine intrauterine transfer cycles, seven healthy babies have been born. In four of the seven children tested at 18 weeks gestation, the karyotypes matched with the original PGD results. CONCLUSION In clinical PGD translocation cycles, CNV-Seq displayed the hallmarks of a comprehensive diagnostic technology for high-resolution 24-chromosome testing of embryos, capable of identifying true euploid embryos for transfer.
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91
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Zhang R, Chen X, Li P, Lu X, Liu Y, Li Y, Zhang L, Xu M, Cram DS. Molecular characterization of a novel ring 6 chromosome using next generation sequencing. Mol Cytogenet 2016; 9:33. [PMID: 27103944 PMCID: PMC4839136 DOI: 10.1186/s13039-016-0245-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2016] [Accepted: 04/12/2016] [Indexed: 12/24/2022] Open
Abstract
Background Karyotyping is the gold standard cytogenetic method for detection of ring chromosomes. In this study we report the molecular characterization of a novel ring 6 (r6) chromosome in a six-year-old girl with severe mental retardation, congenital heart disease and craniofacial abnormalities. Methods Cytogenetic analysis was performed by conventional karyotyping. Molecular genetic analyses were performed using high-resolution chromosome microarray analysis (CMA) and next generation sequencing (NGS). OMIM, UCSC and PubMed were used as reference databases to determine potential genotype to phenotype associations. Results Peripheral blood and skin fibroblast karyotyping revealed the presence of a dominant cell line, 46,XX,(r6)(p25.3;q27) and a minor cell line 45,XX,-6. Molecular karyotyping using NGS identified 6p25.3 and 6q27 subtelomeric deletions of 1.78 Mb and a 0.56 Mb, respectively. Based on the known genes located within the r6 deletion interval 6q25.3-pter, genotype to phenotype association studies found compelling evidence to suggest that hemizygous expression of disease genes FOXC1, FOXF2, IRF4 and GMDS was the main underlying cause of the patient’s phenotype. We further speculate that the severity of the patient’s symptoms may have been exacerbated by low-level instability of the r6 chromosome. Conclusion This is the first report of a novel r6 chromosome characterized at the molecular level using NGS.
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Affiliation(s)
- Rui Zhang
- Center for Obstetrics and Prenatal Diagnosis, The Second Affiliated Hospital of Harbin Medical University, 150000 Harbin, China
| | - Xuan Chen
- Center for Obstetrics and Prenatal Diagnosis, The Second Affiliated Hospital of Harbin Medical University, 150000 Harbin, China
| | - Peiling Li
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Harbin Medical University, 150000 Harbin, China
| | - Xiumin Lu
- Center for Obstetrics and Prenatal Diagnosis, The Second Affiliated Hospital of Harbin Medical University, 150000 Harbin, China
| | - Yu Liu
- Center for Obstetrics and Prenatal Diagnosis, The Second Affiliated Hospital of Harbin Medical University, 150000 Harbin, China
| | - Yan Li
- Center for Obstetrics and Prenatal Diagnosis, The Second Affiliated Hospital of Harbin Medical University, 150000 Harbin, China
| | - Liang Zhang
- Translational Medicine Center, Guangdong Women and Children's Hospital, Guangzhou, 511400 China
| | - Mengnan Xu
- Berry Genomics Corporation, Building 9, No 6 Court Jingshun East Road, Chaoyang District, Beijing, 100015 China
| | - David S Cram
- Berry Genomics Corporation, Building 9, No 6 Court Jingshun East Road, Chaoyang District, Beijing, 100015 China
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92
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Zhu X, Li J, Ru T, Wang Y, Xu Y, Yang Y, Wu X, Cram DS, Hu Y. Identification of copy number variations associated with congenital heart disease by chromosomal microarray analysis and next-generation sequencing. Prenat Diagn 2016; 36:321-7. [PMID: 26833920 DOI: 10.1002/pd.4782] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2015] [Revised: 01/23/2016] [Accepted: 01/28/2016] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To determine the type and frequency of pathogenic chromosomal abnormalities in fetuses diagnosed with congenital heart disease (CHD) using chromosomal microarray analysis (CMA) and validate next-generation sequencing as an alternative diagnostic method. METHOD Chromosomal aneuploidies and submicroscopic copy number variations (CNVs) were identified in amniocytes DNA samples from CHD fetuses using high-resolution CMA and copy number variation sequencing (CNV-Seq). RESULT Overall, 21 of 115 CHD fetuses (18.3%) referred for CMA had a pathogenic chromosomal anomaly. In six of 73 fetuses (8.2%) with an isolated CHD, CMA identified two cases of DiGeorge syndrome, and one case each of 1q21.1 microdeletion, 16p11.2 microdeletion and Angelman/Prader Willi syndromes, and 22q11.21 microduplication syndrome. In 12 of 42 fetuses (28.6%) with CHD and additional structural abnormalities, CMA identified eight whole or partial trisomies (19.0%), five CNVs (11.9%) associated with DiGeorge, Wolf-Hirschhorn, Miller-Dieker, Cri du Chat and Blepharophimosis, Ptosis, and Epicanthus Inversus syndromes and four other rare pathogenic CNVs (9.5%). Overall, there was a 100% diagnostic concordance between CMA and CNV-Seq for detecting all 21 pathogenic chromosomal abnormalities associated with CHD. CONCLUSION CMA and CNV-Seq are reliable and accurate prenatal techniques for identifying pathogenic fetal chromosomal abnormalities associated with cardiac defects. © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Xiangyu Zhu
- Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jie Li
- Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Tong Ru
- Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yaping Wang
- Department of Medical Genetics of Nanjing University Medical School, Nanjing, China
| | - Yan Xu
- Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ying Yang
- Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Xing Wu
- Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | | | - Yali Hu
- Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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93
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Gui B, Yang P, Yao Z, Li Y, Liu D, Liu N, Lu S, Liang D, Wu L. A New Next-Generation Sequencing-Based Assay for Concurrent Preimplantation Genetic Diagnosis of Charcot-Marie-Tooth Disease Type 1A and Aneuploidy Screening. J Genet Genomics 2016; 43:155-9. [DOI: 10.1016/j.jgg.2016.01.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 01/12/2016] [Accepted: 01/13/2016] [Indexed: 11/27/2022]
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94
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Low-pass whole-genome sequencing in clinical cytogenetics: a validated approach. Genet Med 2016; 18:940-8. [PMID: 26820068 DOI: 10.1038/gim.2015.199] [Citation(s) in RCA: 107] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 11/19/2015] [Indexed: 01/12/2023] Open
Abstract
PURPOSE Chromosomal microarray analysis is the gold standard for copy-number variant (CNV) detection in prenatal and postnatal diagnosis. We aimed to determine whether next-generation sequencing (NGS) technology could be an alternative method for CNV detection in routine clinical application. METHODS Genome-wide CNV analysis (>50 kb) was performed on a multicenter group of 570 patients using a low-coverage whole-genome sequencing pipeline. These samples were referred for chromosomal analysis; CNVs (i.e., pathogenic CNVs, pCNVs) were classified according to the American College of Medical Genetics and Genomics guidelines. RESULTS Overall, a total of 198 abortuses, 37 stillbirths, 149 prenatal, and 186 postnatal samples were tested. Our approach yielded results in 549 samples (96.3%). In addition to 119 subjects with aneuploidies, 103 pCNVs (74 losses and 29 gains) were identified in 82 samples, giving diagnostic yields of 53.2% (95% confidence interval: 45.8, 60.5), 14.7% (5.0, 31.1), 28.5% (21.1, 36.6), and 30.1% (23.6, 37.3) in each group, respectively. Mosaicism was observed at a level as low as 25%. CONCLUSIONS Patients with chromosomal diseases or microdeletion/microduplication syndromes were diagnosed using a high-resolution genome-wide method. Our study revealed the potential of NGS to facilitate genetic diagnoses that were not evident in the prenatal and postnatal groups.Genet Med 18 9, 940-948.
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95
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Sun Y, Gu R, Lu X, Zhao S, Feng Y. Vitrification of in vitro matured oocytes diminishes embryo development potential before but not after embryo genomic activation. J Assist Reprod Genet 2015; 33:231-6. [PMID: 26685678 DOI: 10.1007/s10815-015-0637-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 12/09/2015] [Indexed: 11/29/2022] Open
Abstract
PURPOSE The aim of this study is to evaluate the impact of oocyte vitrification on embryo development potential and to assess the chromosome abnormalities of blastocysts derived from fresh/vitrified-warmed oocytes to assure the safety of the oocyte cryopreservation technique. METHODS In vitro matured oocytes derived from immature oocytes were retrieved from small follicles during IVF/intracytoplasmic sperm injection (ICSI) cycles were randomly divided into a fresh and vitrified-warmed groups. After intracytoplasmic sperm injection, the fertilization rate, embryo quality, and developmental status were compared between the two groups. Blastocysts derived from both groups were analyzed using the copy number variation (CNV)-seq technique to evaluate DNA abnormalities. RESULTS The fertilization rate with ICSI and the cleavage rate were similar between the two groups. Among the vitrified-warmed group, there was a lower incidence of usable embryos on day 3 (16.42 vs. 28.57 %; P < 0.05) and a lower incidence of blastocysts (7.46 vs. 17.86 %; P < 0.05). However, the proportions of embryos that developed to blastocysts from the day 3 available embryos were similar between the two groups (62.5 vs. 45.45 %; P > 0.05). In the day 3 embryos, the proportion of >5 cell embryos in the fresh group was markedly higher than in the vitrified-warmed group (41.67 vs. 21.64 %; P < 0.05), and the proportion of embryos with ≧50 % fragments was not significantly different between the two groups (39.29 vs. 43.28 %; P > 0.05). The result of CNV-seq demonstrated that there was no difference in chromosomal abnormalities between the two groups (20 vs. 20 %). CONCLUSIONS Oocyte vitrification and the warming procedure diminished the embryo development potential before day 3, when embryo genomic activation started. The day 3 usable embryos derived from vitrified-warmed oocytes had the same potential for developing into blastocysts. Vitrification and the warming procedure did not increase the chromosome abnormalities of the blastocysts. Oocyte vitrification is a safe technique for those patients who have no other options, although the oocyte efficiency may be diminished after the vitrified-warmed procedure.
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Affiliation(s)
- Yijuan Sun
- Reproductive Medical Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Ji Ai Genetics & IVF Institute, Obstetrics & Gynecology Hospital, Fudan University, Shanghai, China
| | - Ruihuan Gu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics & Gynecology Hospital, Fudan University, Shanghai, China
| | - Xiaowei Lu
- Reproductive Medical Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shen Zhao
- Reproductive Medical Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Feng
- Reproductive Medical Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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96
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Salipante SJ, Adey A, Thomas A, Lee C, Liu YJ, Kumar A, Lewis AP, Wu D, Fromm JR, Shendure J. Recurrent somatic loss of TNFRSF14 in classical Hodgkin lymphoma. Genes Chromosomes Cancer 2015; 55:278-87. [PMID: 26650888 DOI: 10.1002/gcc.22331] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Revised: 10/26/2015] [Accepted: 10/27/2015] [Indexed: 12/21/2022] Open
Abstract
Investigation of the genetic lesions underlying classical Hodgkin lymphoma (CHL) has been challenging due to the rarity of Hodgkin and Reed-Sternberg (HRS) cells, the pathognomonic neoplastic cells of CHL. In an effort to catalog more comprehensively recurrent copy number alterations occurring during oncogenesis, we investigated somatic alterations involved in CHL using whole-genome sequencing-mediated copy number analysis of purified HRS cells. We performed low-coverage sequencing of small numbers of intact HRS cells and paired non-neoplastic B lymphocytes isolated by flow cytometric cell sorting from 19 primary cases, as well as two commonly used HRS-derived cell lines (KM-H2 and L1236). We found that HRS cells contain strikingly fewer copy number abnormalities than CHL cell lines. A subset of cases displayed nonintegral chromosomal copy number states, suggesting internal heterogeneity within the HRS cell population. Recurrent somatic copy number alterations involving known factors in CHL pathogenesis were identified (REL, the PD-1 pathway, and TNFAIP3). In eight cases (42%) we observed recurrent copy number loss of chr1:2,352,236-4,574,271, a region containing the candidate tumor suppressor TNFRSF14. Using flow cytometry, we demonstrated reduced TNFRSF14 expression in HRS cells from 5 of 22 additional cases (23%) and in two of three CHL cell lines. These studies suggest that TNFRSF14 dysregulation may contribute to the pathobiology of CHL in a subset of cases.
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Affiliation(s)
| | - Andrew Adey
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Anju Thomas
- Department of Laboratory Medicine, University of Washington, Seattle, WA
| | - Choli Lee
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Yajuan J Liu
- Department of Pathology, University of Washington, Seattle, WA
| | - Akash Kumar
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - David Wu
- Department of Laboratory Medicine, University of Washington, Seattle, WA
| | - Jonathan R Fromm
- Department of Laboratory Medicine, University of Washington, Seattle, WA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA
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97
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Liu S, Song L, Cram DS, Xiong L, Wang K, Wu R, Liu J, Deng K, Jia B, Zhong M, Yang F. Traditional karyotyping vs copy number variation sequencing for detection of chromosomal abnormalities associated with spontaneous miscarriage. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2015; 46:472-477. [PMID: 25767059 DOI: 10.1002/uog.14849] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2014] [Revised: 02/19/2015] [Accepted: 03/10/2015] [Indexed: 06/04/2023]
Abstract
OBJECTIVES To compare the performance of traditional G-banding karyotyping with that of copy number variation sequencing (CNV-Seq) for detection of chromosomal abnormalities associated with miscarriage. METHODS Products of conception (POC) were collected from spontaneous miscarriages. Chromosomal abnormalities were detected using high-resolution G-banding karyotyping and CNV sequencing. Quantitative fluorescent polymerase chain reaction analysis of maternal and POC DNA for short tandem repeat (STR) markers was used to both monitor maternal cell contamination and confirm the chromosomal status and sex of the miscarriage tissue. RESULTS A total of 64 samples of POC, comprising 16 with an abnormal and 48 with a normal karyotype, were selected and coded for analysis by CNV-Seq. CNV-Seq results were concordant for 14 (87.5%) of the 16 gross chromosomal abnormalities identified by karyotyping, including 11 autosomal trisomies and three sex chromosomal aneuploidies (45,X). Of the two discordant results, a 69,XXX polyploidy was missed by CNV-Seq, although supporting STR marker analysis confirmed the triploidy. In contrast, CNV-Seq identified a sample with 45,X karyotype as a 45,X/46,XY mosaic. In the remaining 48 samples of POC with a normal karyotype, CNV-Seq detected a 2.58-Mb 22q deletion associated with DiGeorge syndrome and nine different smaller CNVs of no apparent clinical significance. CONCLUSIONS CNV-Seq used in parallel with STR profiling is a reliable and accurate alternative to karyotyping for identifying chromosome copy number abnormalities associated with spontaneous miscarriage.
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Affiliation(s)
- S Liu
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
| | - L Song
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
| | - D S Cram
- Berry Genomics, Chaoyang District, Beijing, China
| | - L Xiong
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
| | - K Wang
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
| | - R Wu
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
| | - J Liu
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Guangzhou, Guangdong, China
| | - K Deng
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
| | - B Jia
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
| | - M Zhong
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
| | - F Yang
- Southern Medical University, Nanfang Hospital, Department of Obstetrics and Gynecology, Technology Center of Prenatal Diagnosis and Genetic Diseases Diagnosis, Guangzhou, Guangdong, China
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Fan J, Wang L, Wang H, Ma M, Wang S, Liu Z, Xu G, Zhang J, Cram DS, Yao Y. The clinical utility of next-generation sequencing for identifying chromosome disease syndromes in human embryos. Reprod Biomed Online 2015; 31:62-70. [DOI: 10.1016/j.rbmo.2015.03.010] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 03/20/2015] [Accepted: 03/20/2015] [Indexed: 11/26/2022]
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99
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The Performance of Whole Genome Amplification Methods and Next-Generation Sequencing for Pre-Implantation Genetic Diagnosis of Chromosomal Abnormalities. J Genet Genomics 2015; 42:151-9. [DOI: 10.1016/j.jgg.2015.03.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Revised: 03/06/2015] [Accepted: 03/08/2015] [Indexed: 11/17/2022]
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100
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Maternal X chromosome copy number variations are associated with discordant fetal sex chromosome aneuploidies detected by noninvasive prenatal testing. Clin Chim Acta 2015; 444:113-6. [DOI: 10.1016/j.cca.2015.02.014] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 12/29/2014] [Accepted: 02/08/2015] [Indexed: 02/02/2023]
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