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Ma Y, Gui C, Shi M, Wei L, He J, Xie B, Zheng H, Lei X, Wei X, Cheng Z, Zhou X, Chen S, Luo J, Huang Y, Gui B. The cryptic complex rearrangements involving the DMD gene: etiologic clues about phenotypical differences revealed by optical genome mapping. Hum Genomics 2024; 18:103. [PMID: 39285482 PMCID: PMC11406873 DOI: 10.1186/s40246-024-00653-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 08/05/2024] [Indexed: 09/19/2024] Open
Abstract
BACKGROUND Deletion or duplication in the DMD gene is one of the most common causes of Duchenne and Becker muscular dystrophy (DMD/BMD). However, the pathogenicity of complex rearrangements involving DMD, especially segmental duplications with unknown breakpoints, is not well understood. This study aimed to evaluate the structure, pattern, and potential impact of rearrangements involving DMD duplication. METHODS Two families with DMD segmental duplications exhibiting phenotypical differences were recruited. Optical genome mapping (OGM) was used to explore the cryptic pattern of the rearrangements. Breakpoints were validated using long-range polymerase chain reaction combined with next-generation sequencing and Sanger sequencing. RESULTS A multi-copy duplication involving exons 64-79 of DMD was identified in Family A without obvious clinical symptoms. Family B exhibited typical DMD neuromuscular manifestations and presented a duplication involving exons 10-13 of DMD. The rearrangement in Family A involved complex in-cis tandem repeats shown by OGM but retained a complete copy (reading frame) of DMD inferred from breakpoint validation. A reversed insertion with a segmental repeat was identified in Family B by OGM, which was predicted to disrupt the normal structure and reading frame of DMD after confirming the breakpoints. CONCLUSIONS Validating breakpoint and rearrangement pattern is crucial for the functional annotation and pathogenic classification of genomic structural variations. OGM provides valuable insights into etiological analysis of DMD/BMD and enhances our understanding for cryptic effects of complex rearrangements.
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Affiliation(s)
- Yunting Ma
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Chunrong Gui
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Meizhen Shi
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Lilin Wei
- Department of Obstetrics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Junfang He
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Guilin Medical University, No. 212, Renmin Road, Lingui District, Guilin, Guangxi Zhuang Autonomous Region, 541100, China
| | - Bobo Xie
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Haiyang Zheng
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Xiaoyun Lei
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Xianda Wei
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Zifeng Cheng
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Xu Zhou
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Shaoke Chen
- Department of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China
| | - Jiefeng Luo
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
| | - Yan Huang
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- Department of Obstetrics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
| | - Baoheng Gui
- The Second School of Medicine, Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
- The Guangxi Health Commission Key Laboratory of Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, No. 166, Daxuedong Road, Xixiangtang District, Nanning, Guangxi Zhuang Autonomous Region, 530007, China.
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Zhang M, Gao Y, Liang M, Wang Y, Guo L, Wu D, Xiao H, Lin L, Wang H, Liao S. Correlation between maternal serum biomarkers and the risk of fetal chromosome copy number variants: a single-center retrospective study. Arch Gynecol Obstet 2024; 310:933-942. [PMID: 38814455 DOI: 10.1007/s00404-024-07514-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/07/2024] [Indexed: 05/31/2024]
Abstract
OBJECTIVE To explore the association between the concentration of maternal serum biomarkers and the risk of fetal carrying chromosome copy number variants (CNVs). METHODS Pregnant women identified as high risk in the second-trimester serological triple screening and underwent traditional amniotic fluid karyotype analysis, along with comparative genomic hybridization array (aCGH)/copy number variation sequencing (CNV-seq), were included in the study. We divided the concentration of serum biomarkers, free beta-human chorionic gonadotropin (fβ-hCG), alpha fetoprotein (AFP) and unconjugated estriol (uE3), into three levels: abnormally low, normal and abnormally high. The prevalence of abnormally low, normal and abnormally high serum fβ-hCG, AFP and uE3 levels in pregnant women with aberrant aCGH/CNV-seq results and normal controls was calculated. RESULTS Among the 2877 cases with high risk in the second-trimester serological triple screening, there were 98 chromosome abnormalities revealed by karyotype analysis, while 209 abnormalities were detected by aCGH/CNVseq (P<0.001) . The carrying rate of aberrant CNVs increased significantly when the maternal serum uE3 level was less than 0.4 multiple of median (MoM) of corresponding gestational weeks compared to normal controls, while the carrying rate of aberrant CNVs decreased significantly when the maternal serum fβ-hCG level was greater than 2.5 MoM compared to normal controls. No significant difference was found in the AFP group. CONCLUSION Low serum uE3 level (<0.4 MoM) was associated with an increased risk of aberrant CNVs.
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Affiliation(s)
- Mengting Zhang
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Zhengzhou, 450003, China
| | - Yue Gao
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Zhengzhou, 450003, China
| | - Mingyu Liang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China
| | - Yaoping Wang
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China
| | - Liangjie Guo
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Zhengzhou, 450003, China
| | - Dong Wu
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Zhengzhou, 450003, China
| | - Hai Xiao
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Zhengzhou, 450003, China
| | - Li Lin
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Zhengzhou, 450003, China
| | - Hongdan Wang
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Zhengzhou, 450003, China.
| | - Shixiu Liao
- Medical Genetics Institute of Henan Province, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, China.
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Provincial Key Laboratory of Genetic Diseases and Functional Genomics, Zhengzhou, 450003, China.
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Zeng Y, Ding H, Wang X, Huang Y, Liu L, Du L, Lu J, Wu J, Zeng Y, Mai M, Zhu J, Yu L, He W, Guo F, Peng H, Yao C, Qi Y, Liu Y, Li F, Yang J, Hu R, Liang J, Wang J, Wang W, Zhang Y, Yin A. High positive predictive value of CNVs detected by clinical exome sequencing in suspected genetic diseases. J Transl Med 2024; 22:644. [PMID: 38982507 PMCID: PMC11234535 DOI: 10.1186/s12967-024-05468-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 07/03/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND Genetic disorders often manifest as abnormal fetal or childhood development. Copy number variations (CNVs) represent a significant genetic mechanism underlying such disorders. Despite their importance, the effectiveness of clinical exome sequencing (CES) in detecting CNVs, particularly small ones, remains incompletely understood. We aimed to evaluate the detection of both large and small CNVs using CES in a substantial clinical cohort, including parent-offspring trios and proband only analysis. METHODS We conducted a retrospective analysis of CES data from 2428 families, collected from 2018 to 2021. Detected CNV were categorized as large or small, and various validation techniques including chromosome microarray (CMA), Multiplex ligation-dependent probe amplification assay (MLPA), and/or PCR-based methods, were employed for cross-validation. RESULTS Our CNV discovery pipeline identified 171 CNV events in 154 cases, resulting in an overall detection rate of 6.3%. Validation was performed on 113 CNVs from 103 cases to assess CES reliability. The overall concordance rate between CES and other validation methods was 88.49% (100/113). Specifically, CES demonstrated complete consistency in detecting large CNV. However, for small CNVs, consistency rates were 81.08% (30/37) for deletions and 73.91% (17/23) for duplications. CONCLUSION CES demonstrated high sensitivity and reliability in CNV detection. It emerges as an economical and dependable option for the clinical CNV detection in cases of developmental abnormalities, especially fetal structural abnormalities.
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Affiliation(s)
- Yimo Zeng
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Hongke Ding
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Xingwang Wang
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Yanlin Huang
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Ling Liu
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Li Du
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Jian Lu
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Jing Wu
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Yukun Zeng
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Mingqin Mai
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Juan Zhu
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Lihua Yu
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Wei He
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Fangfang Guo
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Haishan Peng
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Cuize Yao
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Yiming Qi
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Yuan Liu
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Fake Li
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Jiexia Yang
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Rong Hu
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Jie Liang
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Jicheng Wang
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Wei Wang
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China
| | - Yan Zhang
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China.
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China.
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China.
| | - Aihua Yin
- Medical Genetics Center, Guangdong Women and Children Hospital, Xingnan Road 521, Guangzhou, 510010, Guangdong, China.
- Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou, China.
- Guangzhou Key Laboratory of Prenatal Screening and Prenatal Diagnosis, Guangzhou, China.
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Zhang X, Wu J, Zhou J, Liang J, Han Y, Qi Y, Zhu T, Yuan D, Zhu Z, Zhai J. Pathogenic relationship between phenotypes of ARPKD and novel compound heterozygous mutations of PKHD1. Front Genet 2024; 15:1429336. [PMID: 39015774 PMCID: PMC11250243 DOI: 10.3389/fgene.2024.1429336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 06/10/2024] [Indexed: 07/18/2024] Open
Abstract
Background To investigate whether the novel mutation of PKHD1 could cause polycystic kidney disease by affecting splicing with a recessive inheritance pattern. Methods A nonconsanguineous Chinese couple with two recurrent pregnancies showed fetal enlarged echogenic polycystic kidney and oligoamnios were recruited. Pedigree WES, minigene splicing assay experiment and following bioinformatics analysis were performed to verify the effects, and inheritance pattern of diseasing-causing mutations. Results WES revealed that both fetuses were identified as carrying the same novel mutation c.3592_3628 + 45del, p.? and c.11207 T>C, p.(Ile3736Thr) in the PKHD1 gene (NM_138694.4), which inherited from the father and mother respectively. Both bioinformatic method prediction and minigene splicing assay experience results supported the mutation c.3592_3628 + 45del, p.? affects the splicing of the PKHD1 transcript, resulting in exon 31 skipping. Another missense mutation c.11207 T>C, p.(Ile3736Thr) has a low frequency in populations and is predicted to be deleterious by bioinformatic methods. Conclusion These findings provide a direct clinical and functional evidence that the truncating mutations of the PKHD1 gene could lead to more severe phenotypes, and cause ARPKD as a homozygous or compound heterozygous pattern. Our study broadens the variant spectrum of the PKHD1 gene and provides a basis for genetic counseling and diagnosis of ARPKD.
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Affiliation(s)
- Xinrong Zhang
- Xuzhou Central Hospital, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, China
- Xuzhou Engineering Research Center of Medical Genetics and Transformation, Key Laboratory of Genetic Foundation and Clinical Application, Department of Genetics, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Prenatal Diagnosis Medical Center, Xuzhou Central Hospital, Xuzhou, Jiangsu, China
| | - Jiebin Wu
- Xuzhou Central Hospital, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, China
- Department of Prenatal Diagnosis Medical Center, Xuzhou Central Hospital, Xuzhou, Jiangsu, China
| | - Jianteng Zhou
- Xuzhou Engineering Research Center of Medical Genetics and Transformation, Key Laboratory of Genetic Foundation and Clinical Application, Department of Genetics, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jie Liang
- Xuzhou Central Hospital, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, China
- Department of Prenatal Diagnosis Medical Center, Xuzhou Central Hospital, Xuzhou, Jiangsu, China
- Key Laboratory of Brain Diseases Bioinformation of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yu Han
- Xuzhou Central Hospital, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, China
- Department of Prenatal Diagnosis Medical Center, Xuzhou Central Hospital, Xuzhou, Jiangsu, China
- Key Laboratory of Brain Diseases Bioinformation of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yunmeng Qi
- Xuzhou Central Hospital, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, China
- Department of Prenatal Diagnosis Medical Center, Xuzhou Central Hospital, Xuzhou, Jiangsu, China
- Key Laboratory of Brain Diseases Bioinformation of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tao Zhu
- Xuzhou Engineering Research Center of Medical Genetics and Transformation, Key Laboratory of Genetic Foundation and Clinical Application, Department of Genetics, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Dejian Yuan
- Department of Medical Genetics, Liuzhou Municipal Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Zuobin Zhu
- Xuzhou Central Hospital, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, China
- Xuzhou Engineering Research Center of Medical Genetics and Transformation, Key Laboratory of Genetic Foundation and Clinical Application, Department of Genetics, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jingfang Zhai
- Xuzhou Central Hospital, Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, China
- Xuzhou Engineering Research Center of Medical Genetics and Transformation, Key Laboratory of Genetic Foundation and Clinical Application, Department of Genetics, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Department of Prenatal Diagnosis Medical Center, Xuzhou Central Hospital, Xuzhou, Jiangsu, China
- Key Laboratory of Brain Diseases Bioinformation of Xuzhou Medical University, Xuzhou, Jiangsu, China
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Liu A, Zhou L, Huang Y, Peng D. Analysis of copy number variants detected by sequencing in spontaneous abortion. Mol Cytogenet 2024; 17:13. [PMID: 38764094 PMCID: PMC11103966 DOI: 10.1186/s13039-024-00683-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 05/13/2024] [Indexed: 05/21/2024] Open
Abstract
BACKGROUND The incidence of spontaneous abortion (SA), which affects approximately 15-20% of pregnancies, is the most common complication of early pregnancy. Pathogenic copy number variations (CNVs) are recognized as potential genetic causes of SA. However, CNVs of variants of uncertain significance (VOUS) have been identified in products of conceptions (POCs), and their correlation with SA remains uncertain. RESULTS Of 189 spontaneous abortion cases, trisomy 16 was the most common numerical chromosome abnormality, followed by monosomy X. CNVs most often occurred on chromosomes 4 and 8. Gene Ontology and signaling pathway analysis revealed significant enrichment of genes related to nervous system development, transmembrane transport, cell adhesion, and structural components of chromatin. Furthermore, genes within the VOUS CNVs were screened by integrating human placental expression profiles, PhyloP scores, and Residual Variance Intolerance Score (RVIS) percentiles to identify potential candidate genes associated with spontaneous abortion. Fourteen potential candidate genes (LZTR1, TSHZ1, AMIGO2, H1-4, H2BC4, H2AC7, H3C8, H4C3, H3C6, PHKG2, PRR14, RNF40, SRCAP, ZNF629) were identified. Variations in LZTR1, TSHZ1, and H4C3 may contribute to embryonic lethality. CONCLUSIONS CNV sequencing (CNV-seq) analysis is an effective technique for detecting chromosomal abnormalities in POCs and identifying potential candidate genes for SA.
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Affiliation(s)
- Anhui Liu
- Hengyang Medical School, University of South China, Hengyang, 421000, China
| | - Liyuan Zhou
- Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, 410000, China
| | - Yazhou Huang
- Department of Medical Genetics, Xiangya School of Medicine, Changde Hospital, Central South University (The First People's Hospital of Changde city), Changde, 415000, China.
| | - Dan Peng
- Hengyang Medical School, University of South China, Hengyang, 421000, China.
- Department of Medical Genetics, Xiangya School of Medicine, Changde Hospital, Central South University (The First People's Hospital of Changde city), Changde, 415000, China.
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Qin Y, Touch K, Sha M, Sun Y, Zhang S, Wu J, Wu Y, Feng L, Chen S, Xiao J. The chromosomal characteristics of spontaneous abortion and its potential associated copy number variants and genes. J Assist Reprod Genet 2024; 41:1285-1296. [PMID: 38668959 PMCID: PMC11143157 DOI: 10.1007/s10815-024-03119-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 04/02/2024] [Indexed: 06/01/2024] Open
Abstract
PURPOSE This study aimed to investigate the correlation between chromosomal abnormalities in spontaneous abortion with clinical features and seek copy number variations (CNVs) and genes that might be connected to spontaneous abortion. METHODS Over 7 years, we used CNV-seq and STR analysis to study POCs, comparing chromosomal abnormalities with clinical features and identifying critical CNVs and genes associated with spontaneous abortion. RESULTS Total chromosomal variants in the POCs were identified in 66.8% (2169/3247) of all cases, which included 45.2% (1467/3247) numerical abnormalities and 21.6% (702/3247) copy number variants (CNVs). Chromosome number abnormalities, especially aneuploidy abnormalities, were more pronounced in the group of mothers aged ≥ 35 years, the early miscarriage group, and the chorionic villi group. We further analyzed 212 pathogenic and likely pathogenic CNVs in 146 POCs as well as identified 8 statistically significant SORs through comparison with both a healthy population and a group of non-spontaneously aborted fetuses. Our analysis suggests that these CNVs may play a crucial role in spontaneous abortion. Furthermore, by utilizing the RVIS score and MGI database, we identified 86 genes associated with spontaneous abortion, with particular emphasis on PARP6, ISLR, ULK3, FGFRL1, TBC1D14, SCRIB, and PLEC. CONCLUSION We found variability in chromosomal abnormalities across clinical features, identifying eight crucial copy number variations (CNVs) and multiple key genes that may be linked to spontaneous abortion. This research enhances the comprehension of genetic factors contributing to spontaneous abortion.
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Affiliation(s)
- Yu Qin
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China
| | - Koksear Touch
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China
| | - Menghan Sha
- Department of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanan Sun
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China
| | - Shunran Zhang
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China
| | - Jianli Wu
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China
| | - Yuanyuan Wu
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China
| | - Ling Feng
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China
| | - Suhua Chen
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China.
| | - Juan Xiao
- Department of Obstetrics & Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan, 430030, Hubei, China.
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Chen Y, Han X, Hua R, Li N, Zhang L, Hu W, Wang Y, Qian Z, Li S. Copy number variation sequencing for the products of conception: What is the optimal testing strategy. Clin Chim Acta 2024; 557:117884. [PMID: 38522821 DOI: 10.1016/j.cca.2024.117884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/01/2024] [Accepted: 03/21/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND Copy number variation sequencing (CNV-seq) is crucial in prenatal diagnosis, but its limitations in detecting polyploidy, maternal cell contamination (MCC), and uniparental disomy (UPD) restrict its application in the analysis of products of conception (POCs). This study aimed to investigate an optimal genetic testing strategy for POCs in the era of CNV-seq. METHODS CNV-seq and quantitative fluorescent polymerase chain reaction (QF-PCR) were performed in all 4,211 spontaneous miscarriage cases. Different testing strategies were compared and the optimal testing strategies were proposed. RESULTS Of the 4,211 cases, 2561 (60.82%) exhibited clinically significant chromosomal abnormalities. CNV-seq alone, without QF-PCR, might misdiagnose 311 (7.39%) cases, including 278 polyploidy, 13 UPD, and 20 MCC. In 20 MCC cases identified by QF-PCR, CNV-seq successfully pinpointed the cause of miscarriage in 13 cases. Furthermore, in cases where QF-PCR suggested polyploidy, CNV-seq improved the diagnostic accuracy in 54 (1.28%) hypo/hypertriploidy cases. After comparing four different strategies, the sequential approach (initiating with CNV-seq followed by QF-PCR if necessary) emerged as advantageous, reducing approximately 70% of the cost associated with QF-PCR while maintaining result accuracy. CONCLUSIONS We propose an initial CNV-seq followed by QF-PCR if needed-an efficient and cost-effective strategy for the genetic analysis of POCs.
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Affiliation(s)
- Yiyao Chen
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xu Han
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Renyi Hua
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Niu Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lanlan Zhang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wenjing Hu
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yanlin Wang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Zhida Qian
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Shuyuan Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China; Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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8
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Su H, Liu S, Xu H, Shen C, Xu M, Zhang J, Li D. A rapid PCR-free next-generation sequencing method for comprehensive diagnosis of chromosome disease syndromes in prenatal samples. Medicine (Baltimore) 2024; 103:e37610. [PMID: 38552051 PMCID: PMC10977541 DOI: 10.1097/md.0000000000037610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 02/23/2024] [Indexed: 04/02/2024] Open
Abstract
The aim of this study is to investigate the application performance of rapid copy number variation sequencing (rCNV-seq) technology for the detection of chromosomal abnormalities during prenatal diagnosis. Samples were collected from 424 pregnant women who were at high-risk for noninvasive prenatal screening in Kunming Maternal and Child Care Hospital from January 2018 to May 2022. rCNV-seq technique was used to detect fetal chromosome abnormalities and compare the results with that of chromosomal karyotype analysis. The Result showed that 330 (77.83%, 330/424) cases indicated chromosomal abnormalities among 424 high-risk pregnant women who underwent rCNV-seq. Moreover, 94 (22.17%, 94/424) cases were discovered to have copy number variations. Among the 330 fetuses with chromosomal abnormalities, common autosomal aneuploidy was observed in 203 cases (47.87%, 203/424) and sex chromosome aneuploidy was observed in 91 cases (21.46%, 91/424). Moreover, the abnormalities in multiple chromosomes were discovered in 33 cases (7.78%, 33/424), and the rare autosomal aneuploidy was observed in 3 cases (0.71%, 3/424). There were 63 fetuses (14.86%, 63/424) with pathogenic CNVs among the 94 fetuses with variable copy numbers. Of the 245 pregnant women who voluntarily selected G-band karyotyping, 1 fetus with copy number variation had normal karyotype results, and the remaining women were consistent with rCNV-seq. Our study revealed that rCNV-seq has higher accuracy in detecting common trisomy and can also detect chromosomal microdeletions or microduplications that cannot be detected by G-banding karyotype analysis. There is no effective treatment for chromosomal diseases, so it is particularly important to prevent chromosomal diseases through genetic counseling and prenatal diagnosis of chromosomal diseases.
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Affiliation(s)
- Hong Su
- Department of Obstetrics, Kunming Maternal and Child Care Hospital, Kunming, Yunnan, China
| | - Shengni Liu
- BSc(Hons) Biomedical Science, University of Bristol, Bristol, England
| | - Hongxia Xu
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China, National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, Yunnan, China
| | - Cuihua Shen
- Department of Obstetrics, Kunming Maternal and Child Care Hospital, Kunming, Yunnan, China
| | - Min Xu
- Department of Obstetrics, Kunming Maternal and Child Care Hospital, Kunming, Yunnan, China
| | - Jing Zhang
- Department of Obstetrics, Kunming Maternal and Child Care Hospital, Kunming, Yunnan, China
| | - Dongyun Li
- Department of Obstetrics, Kunming Maternal and Child Care Hospital, Kunming, Yunnan, China
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9
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Pi X, Zhang Q, Wang X, Jiang F. Retinoblastoma and polydactyly in a child with 46, XY, 15pstk+ karyotype-A case report and literature review. Mol Genet Genomic Med 2024; 12:e2414. [PMID: 38465842 PMCID: PMC10926652 DOI: 10.1002/mgg3.2414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/08/2024] [Accepted: 02/21/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND Retinoblastoma (Rb) is the most common intraocular malignancy in childhood, originating from primitive retinal stem cells or cone precursor cells. It can be triggered by mutations of the RB1 gene or amplification of the MYCN gene. Rb may rarely present with polydactyly. METHODS We conducted karyotype analysis, copy number variation sequencing, and whole-genome sequencing on the infant proband and his family. The clinical course and laboratory results of the proband's infant were documented and collected. We also reviewed the relevant literature. RESULTS A 68-day-old boy presented with preaxial polydactyly and corneal edema. His intraocular pressure (IOP) was 40/19 mmHg, and color Doppler imaging revealed vitreous solid mass-occupying lesions with calcification in the right eye. Ocular CT showed flaky high-density and calcification in the right eye. This was classified as an International Retinoblastoma Staging System group E retinoblastoma with an indication for enucleation. Enucleation and orbital implantation were performed on the child's right eye. Karyotype analysis revealed an abnormal 46, XY, 15pstk+ karyotype, and the mother exhibited diploidy of the short arm of chromosome 15. The Alx-4 development factor, 13q deletion syndrome, and the PAPA2 gene have been reported as potential mechanisms for Rb combined with polydactyly. CONCLUSION We report the case of a baby boy with Rb and polydactyly exhibiting a 46, XY, 15pstk+ Karyotype. We discuss potential genetic factors related to both Rb and polydactyly. Furthermore, there is a need for further exploration into the impact of chromosomal polymorphisms in Rb with polydactyly.
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Affiliation(s)
- Xiaohuan Pi
- Department of OphthalmologyThe Sixth Hospital of Wuhan, Affiliated Hospital of Jianghan UniversityWuhanChina
| | - Qiming Zhang
- Department of OphthalmologyThe Sixth Hospital of Wuhan, Affiliated Hospital of Jianghan UniversityWuhanChina
| | - Xinghua Wang
- Department of Ophthalmology, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Fagang Jiang
- Department of Ophthalmology, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
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Balaguer N, Rodrigo L, Mateu-Brull E, Campos-Galindo I, Castellón JA, Al-Asmar N, Rubio C, Milán M. Non-invasive cell-free DNA-based approach for the diagnosis of clinical miscarriage: A retrospective study. BJOG 2024; 131:213-221. [PMID: 37533357 DOI: 10.1111/1471-0528.17629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 07/05/2023] [Accepted: 07/21/2023] [Indexed: 08/04/2023]
Abstract
OBJECTIVE To evaluate cell-free DNA (cfDNA) testing as a non-invasive approach to detecting aneuploidies in clinical miscarriages. DESIGN A retrospective cohort study of women with pregnancy loss. SETTING Hospitals and genetic analysis laboratories. POPULATION OR SAMPLE Pregnancy losses in the period 2021-2022. METHODS Results derived from non-invasive cfDNA testing (Veriseq NIPT Solution V2) of maternal blood and invasive analysis of products of conception (POC) (Ion ReproSeq) compared in 120 women who suffered a miscarriage. MAIN OUTCOME MEASURES Concordance rate results, cfDNA testing performance, non-informative rate (NIR) and fetal fraction (FF). RESULTS We found no significant differences in the NIR between invasive (iPOC) and non-invasive (niPOC) analysis of POC (10.0% [12/120] versus 16.7% [20/120]). Of 120 samples, 90 provided an informative result in iPOC and niPOC groups (75%). cfDNA analysis correctly identified 74/87 (85.1%) samples (excluding triploidies). Sensitivity and specificity were 79.4% and 100%, respectively; all discordant cases were female. A binomial logistic model suggested fetal sex as the only variable influencing the concordance rate (P = 0.035). A Y-chromosome-based FF estimate allowed the optimal reclassification of cfDNA of non-informative male fetuses and a more accurate evaluation of cfDNA testing performance. The difference between the two FF estimates (native algorithm and Y-chromosome-based) suggests that female non-concordant cases may represent non-informative cases. CONCLUSIONS Cell-free DNA-based testing provides a non-invasive approach to determining the genetic cause of clinical miscarriage.
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Affiliation(s)
- Nuria Balaguer
- Prenatal Diagnosis Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | - Lorena Rodrigo
- Preimplantation Genetic Testing for Aneuploidies (PGT-A) Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | - Emilia Mateu-Brull
- Prenatal Diagnosis Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | - Inmaculada Campos-Galindo
- Preimplantation Genetic Testing for Aneuploidies (PGT-A) Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | | | | | - Carmen Rubio
- Research and Development Department, Igenomix Spain Lab S.L.U., Paterna, Spain
| | - Miguel Milán
- Prenatal Diagnosis Department, Igenomix Spain Lab S.L.U., Paterna, Spain
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11
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Xue H, Guo Q, Yu A, Lin M, Chen X, Xu L. Genetic analysis of chorionic villus tissues in early missed abortions. Sci Rep 2023; 13:21719. [PMID: 38081877 PMCID: PMC10713591 DOI: 10.1038/s41598-023-48358-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 11/25/2023] [Indexed: 12/18/2023] Open
Abstract
Chromosomal abnormalities are the most common etiology of early spontaneous miscarriage. However, traditional karyotyping of chorionic villus samples (CVSs) is limited by cell culture and its low resolution. The objective of our study was to investigate the efficiency of molecular karyotyping technology for genetic diagnosis of early missed abortion tissues. Chromosome analysis of 1191 abortion CVSs in early pregnancy was conducted from August 2016 to June 2021; 463 cases were conducted via copy-number variations sequencing (CNV-seq)/quantitative fluorescent-polymerase chain reaction (QF-PCR) and 728 cases were conducted using SNP array. Clinically significant CNVs of CVSs were identified to clarify the cause of miscarriage and to guide the couples' subsequent pregnancies. Among these, 31 cases with significant maternal cell contamination were removed from the study. Among the remaining 1160 samples, 751 cases (64.7%) with genetic abnormalities were identified, of which, 531 (45.8%) were single aneuploidies, 31 (2.7%) were multiple aneuploidies, 50 (4.3%) were polyploidies, 54 (4.7%) were partial aneuploidies, 77 (6.6%) had submicroscopic CNVs (including 25 with clinically significant CNVs and 52 had variants of uncertain significance), and 8 cases (0.7%) were uniparental disomies. Our study suggests that both SNP array and CNV-seq/QF-PCR are reliable, robust, and high-resolution technologies for genetic diagnosis of miscarriage.
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Affiliation(s)
- Huili Xue
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Gulou District, No. 18 Daoshan Road, Fuzhou, 350001, Fujian, China.
| | - Qun Guo
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Gulou District, No. 18 Daoshan Road, Fuzhou, 350001, Fujian, China
| | - Aili Yu
- Reproductive Medicine Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Gulou District, No. 18 Daoshan Road, Fuzhou, 350001, Fujian, China
| | - Min Lin
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Gulou District, No. 18 Daoshan Road, Fuzhou, 350001, Fujian, China
| | - Xuemei Chen
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Gulou District, No. 18 Daoshan Road, Fuzhou, 350001, Fujian, China
| | - Liangpu Xu
- Medical Genetic Diagnosis and Therapy Center, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Gulou District, No. 18 Daoshan Road, Fuzhou, 350001, Fujian, China.
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12
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Jin C, Li X, Chen J, Gu Z, Xu T. Genetic analysis and prenatal diagnosis of a pedigree with developmental retardation due to paternal 8q/18q translocation. Clin Case Rep 2023; 11:e8315. [PMID: 38094141 PMCID: PMC10717177 DOI: 10.1002/ccr3.8315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 10/17/2024] Open
Abstract
Balanced reciprocal chromosomal translocation carriers will have greater risk to experience recurrent miscarriages, embryonic death, and infertility. We show the pedigree carrying a paternal karyotype which was reported first. This research helps to better understand the clinical manifestations and prognosis of patients with this rare chromosomal abnormality.
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Affiliation(s)
- Chunyan Jin
- Department of Medical Genetics and Prenatal DiagnosisThe Affiliated Taizhou People's Hospital of Nanjing Medical University (Taizhou People's Hospital)TaizhouChina
| | - Xuefang Li
- Department of Medical Genetics and Prenatal DiagnosisThe Affiliated Taizhou People's Hospital of Nanjing Medical University (Taizhou People's Hospital)TaizhouChina
| | - Jiao Chen
- Department of Medical Genetics and Prenatal DiagnosisThe Affiliated Taizhou People's Hospital of Nanjing Medical University (Taizhou People's Hospital)TaizhouChina
| | - Zhiping Gu
- Department of Medical Genetics and Prenatal DiagnosisThe Affiliated Taizhou People's Hospital of Nanjing Medical University (Taizhou People's Hospital)TaizhouChina
| | - Tianhui Xu
- Department of Medical Genetics and Prenatal DiagnosisThe Affiliated Taizhou People's Hospital of Nanjing Medical University (Taizhou People's Hospital)TaizhouChina
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13
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Zhang J, Mu F, Guo Z, Cai Z, Zeng X, Du L, Wang F. Chromosome analysis of foetal tissue from 1903 spontaneous abortion patients in 5 regions of China: a retrospective multicentre study. BMC Pregnancy Childbirth 2023; 23:818. [PMID: 38007414 PMCID: PMC10675863 DOI: 10.1186/s12884-023-06108-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/04/2023] [Indexed: 11/27/2023] Open
Abstract
BACKGROUND Abnormal foetal tissue chromosome karyotypes are one of the important pathogenic factors for spontaneous abortion (SA). To investigate the age and abnormal foetal karyotypes of 1903 couples who experienced SA. METHODS A retrospective multicentre study collected age and foetal tissue karyotypes CNV-seq data of 1903 SA couples from 6 hospitals in 5 regions from January 2017 to March 2022. The distribution and correlation of abnormal foetal tissue karyotypes were evaluated by using regions and age. RESULTS In our study, 1140 couples (60.5% of the total) had abnormal foetal tissue chromosome karyotypes in all regions. We found that there were differences in the number of abnormal foetal tissue chromosome karyotypes, of which the incidence of trisomy was higher. At the same time, the populations situated in the eastern region had a more triploid (15.5%) distribution, trisomy (58.1%) in the southern region, mosaicism (14.8%) and microduplication (31.7%) in the southwestern region, microdeletion (16.7%) in the northern region. There are variances across areas, and it is more common in the north. The incidence risk of prenatal chromosomal abnormalities varied according to age group. CONCLUSION The findings of this study suggest that the karyotypes of patients with abnormal foetal tissue chromosome abortion in different regions were different. Meanwhile, patients ≥ 35 years old had a higher risk of abnormal foetal tissue chromosome abortion.
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Affiliation(s)
- Jian Zhang
- Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, 730030, China
| | - Fangxiang Mu
- Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Obstetrics Department, First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Zhongjie Guo
- Obstetrics Department, Third Hospital Affiliated to Guangdong Pharmaceutical University, Guangdong, 510410, China
| | - Zhuhua Cai
- Gynaecology Department, Rui'an People's Hospital, Wenzhou, 325207, China
| | - Xianghui Zeng
- Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Department of Reproductive Medicine, Qinghai Provincial People's Hospital, Xining, 810007, China
| | - Lirong Du
- Eugenics Clinical Department, Hebei Reproductive Health Hospital, Shijiazhuang, 050090, China
| | - Fang Wang
- Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, 730030, China.
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Wu C, Maegawa GHB, Zhang H. Integrating whole-genome sequencing and transcriptomic findings in the diagnosis and management of Coffin-Siris syndrome. Brain Dev 2023; 45:495-504. [PMID: 37302973 DOI: 10.1016/j.braindev.2023.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 05/15/2023] [Accepted: 05/28/2023] [Indexed: 06/13/2023]
Abstract
INTRODUCTION Although the whole-exome sequencing (WES) approach has been widely used in clinic, many rare diseases with syndromic and nonsyndromic neurological manifestations remain undiagnosed. Coffin-Siris syndrome (CSS) is a rare autosomal dominant genetic disease characterized by neurodevelopmental delay. A suspected diagnosis can be made based on the typical CSS clinical features; however, molecular genetic testing is necessary for a confirmed diagnosis. OBJECTIVES Three CSS-like patients with negative results in the WES and chromosomal microarray analysis (CMA) were recruited in this study. METHODS We used whole-genome sequencing (WGS) technology to sequence the peripheral blood of the three families. To further explore the possible pathogenesis of CSS, we performed RNA-sequencing (RNA-seq). RESULTS WGS identified the three CSS patients were carrying de novo copy number variants of the ARID1B gene, which have not been reported before. RNA-seq identified 184 differentially expressed genes (DEGs), with 116 up-regulated and 68 down-regulated. Functional annotation of DEGs showed that two biological processes (immune response, chemokine activity) and two signaling pathways (cytokine-cytokine receptor interaction, chemokine activity) were highlighted. We speculated that ARID1B deficiency might trigger abnormal immune responses, which may be involved in the pathophysiologic mechanisms of CSS. CONCLUSION Our research provided further support for WGS application in CSS diagnosis and made an investigational approach for the underlying mechanisms of CSS.
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Affiliation(s)
- Chenchen Wu
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China
| | - Gustavo H B Maegawa
- Department of Pediatrics Columbia, University Irving Medical Center, New York-Presbyterian Morgan Stanley Children's Hospital, 622 West 168th Street, PH 17W/PH 11W, New York, NY 10032, United States
| | - Huiwen Zhang
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China.
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15
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Pan L, Wu J, Liang D, Yuan J, Wang J, Shen Y, Lu J, Xia A, Li J, Wu L. Association analysis between chromosomal abnormalities and fetal ultrasonographic soft markers based on 15,263 fetuses. Am J Obstet Gynecol MFM 2023; 5:101072. [PMID: 37393030 DOI: 10.1016/j.ajogmf.2023.101072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/24/2023] [Accepted: 06/27/2023] [Indexed: 07/03/2023]
Abstract
BACKGROUND Soft markers are common prenatal ultrasonographic findings that indicate an increased risk for fetal aneuploidy. However, the association between soft markers and pathogenic or likely pathogenic copy number variations is still unclear, and clinicians lack clarity on which soft markers warrant a recommendation for invasive prenatal genetic testing of the fetus. OBJECTIVE This study aimed to provide guidance on ordering prenatal genetic testing for fetuses with different soft markers and to elucidate the association between specific types of chromosomal abnormalities and specific ultrasonographic soft markers. STUDY DESIGN Low-pass genome sequencing was performed for 15,263 fetuses, including 9123 with ultrasonographic soft markers and 6140 with normal ultrasonographic findings. The detection rate of pathogenic or likely pathogenic copy number variants among fetuses with various ultrasonographic soft markers were compared with that of fetuses with normal ultrasonography. The association of soft markers with aneuploidy and pathogenic or likely pathogenic copy number variants were investigated using Fisher exact tests with Bonferroni correction. RESULTS The detection rate of aneuploidy and pathogenic or likely pathogenic copy number variants was 3.04% (277/9123) and 3.40% (310/9123), respectively, in fetuses with ultrasonographic soft markers. An absent or a hypoplastic nasal bone was the soft marker in the second trimester with the highest diagnostic rate for aneuploidy of 5.22% (83/1591) among all isolated groups. Four types of isolated ultrasonographic soft markers, namely a thickened nuchal fold, single umbilical artery, mild ventriculomegaly, and absent or hypoplastic nasal bone, had higher diagnostic rates for pathogenic or likely pathogenic copy number variants (P<.05; odds ratio, 1.69-3.31). Furthermore, this study found that the 22q11.2 deletion was associated with an aberrant right subclavian artery, whereas the 16p13.11 deletion, 10q26.13-q26.3 deletion, and 8p23.3-p23.1 deletion were associated with a thickened nuchal fold, and the 16p11.2 deletion and 17p11.2 deletion were associated with mild ventriculomegaly (P<.05). CONCLUSION Ultrasonographic phenotype-based genetic testing should be considered in clinical consultations. Copy number variant analysis is recommended for fetuses with an isolated thickened nuchal fold, a single umbilical artery, mild ventriculomegaly, and an absent or a hypoplastic nasal bone. A comprehensive definition of genotype-phenotype correlations in aneuploidy and pathogenic or likely pathogenic copy number variants could provide better information for genetic counseling.
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Affiliation(s)
- Lijuan Pan
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China (Drs Pan, J Wu, Liang, and L Wu); Department of Obstetrics, Xiangya Hospital, Central South University, Changsha, Hunan, China (Dr Pan)
| | - Jiayu Wu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China (Drs Pan, J Wu, Liang, and L Wu)
| | - Desheng Liang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China (Drs Pan, J Wu, Liang, and L Wu)
| | - Jing Yuan
- Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (Dr Yuan)
| | - Jue Wang
- Department of Obstetrics, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (Dr Wang)
| | - Yinchen Shen
- Department of Maternity Care, Nanning Maternity and Child Health Hospital, Nanning, Guangxi, China (Dr Shen)
| | - Junjie Lu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital, Army Military Medical University, Chongqing, China (Dr Lu)
| | - Aihua Xia
- Department of Obstetrics, Beihai People's Hospital, Beihai, Guangxi, China (Dr Xia)
| | - Jinchen Li
- Bioinformatics Center and National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China (Dr Li).
| | - Lingqian Wu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China (Drs Pan, J Wu, Liang, and L Wu).
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16
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Zhu S, Jia C, Hao S, Zhang Q, He J, Wang X, Lin P, Guo Y, Li Y, Feng X. Evaluation of the clinical effects of non-invasive prenatal screening for diseases associated with aneuploidy and copy number variation. Mol Genet Genomic Med 2023; 11:e2200. [PMID: 37354111 PMCID: PMC10496052 DOI: 10.1002/mgg3.2200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 11/09/2022] [Accepted: 05/04/2023] [Indexed: 06/26/2023] Open
Abstract
BACKGROUND To explore and compare the clinical effects of high-resolution non-invasive prenatal screening (NIPS-Plus) for common/uncommon chromosomal aneuploidy and microdeletion/microduplication syndromes (MMS). METHODS The current prospective study included a total of 25,380 pregnant women who performed NIPS-Plus, and amniocentesis was performed on women with MMS with the screening results to diagnose patients with suspected MMS. RESULTS There were 415 samples with positive results for NIPS-Plus, included 275 with aneuploidy and 140 with MMS. After diagnosis by amniocentesis, 188 cases were confirmed as true positive, included46 cases of T21, 9 cases of T18, 1 case of T13, 34 cases of SCA, 41 cases of other chromosomal euploidy and 57 cases of MMS. In addition, no false negative cases were found, MMS was classified with 5 Mb with the cutoff value, and the PPV of different fragment size was counted, respectively. CONCLUSION We found that the corresponding PPV was 44.66% with the fragment of copy number variation (CNV) being less than or equal to 5 Mb, and when it was greater than 5 Mb, the PPV was 29.73%, which suggested that NIPS-Plus was more suitable for screening the PPV of small fragment abnormalities. NIPS-Plus has a good application effect in routine aneuploidy screening and had the best detection effect for T21; moreover, it performed well in screening of MMS and had better detection effect on MMS with CNV fragment length less than 5 Mb. Based on the current results, we suggested that NIPS-Plus should be used as a comprehensive elementary prenatal screening method for all pregnant women, but for MMS caused by abnormal large fragment CNV, the detection method and efficiency still need to be improved.
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Affiliation(s)
- Shaohua Zhu
- Medical Genetic Centre, Gansu Maternity and Child‐Care HospitalLanzhouChina
- Gansu Provincial Clinical Research Center for Birth Defects and Rare DiseasesLanzhouChina
| | - Chunyang Jia
- Medical Genetic Centre, Gansu Maternity and Child‐Care HospitalLanzhouChina
| | - Shengju Hao
- Medical Genetic Centre, Gansu Maternity and Child‐Care HospitalLanzhouChina
- Gansu Provincial Clinical Research Center for Birth Defects and Rare DiseasesLanzhouChina
| | - Qinghua Zhang
- Medical Genetic Centre, Gansu Maternity and Child‐Care HospitalLanzhouChina
- Gansu Provincial Clinical Research Center for Birth Defects and Rare DiseasesLanzhouChina
| | - Jing He
- Medical Genetic Centre, Gansu Maternity and Child‐Care HospitalLanzhouChina
| | - Xing Wang
- Gansu Provincial Clinical Research Center for Birth Defects and Rare DiseasesLanzhouChina
| | - Pengwu Lin
- Gansu Provincial Clinical Research Center for Birth Defects and Rare DiseasesLanzhouChina
| | - Yuanyuan Guo
- Gansu Provincial Clinical Research Center for Birth Defects and Rare DiseasesLanzhouChina
| | - Yigang Li
- Gansu Provincial Clinical Research Center for Birth Defects and Rare DiseasesLanzhouChina
| | - Xuan Feng
- Medical Genetic Centre, Gansu Maternity and Child‐Care HospitalLanzhouChina
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Shi P, Liang H, Hou Y, Chen D, Ren H, Wang C, Xia Y, Zhang D, Leigh D, Cram DS, Kong X. The uncertainty of copy number variants: pregnancy decisions and clinical follow-up. Am J Obstet Gynecol 2023; 229:170.e1-170.e8. [PMID: 36716986 DOI: 10.1016/j.ajog.2023.01.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 01/14/2023] [Accepted: 01/21/2023] [Indexed: 01/28/2023]
Abstract
BACKGROUND Next-generation sequencing for copy number variants is often used as a follow-up investigation of unusual fetal ultrasound results and is capable of detecting copy number variations with a resolution of ∼0.1 Mb. In a prenatal setting, observation and subsequent management of pregnancies with a fetal variant of uncertain significance remains problematic for counseling. OBJECTIVE This study aimed to follow the decision-making processes in pregnancies with a fetal variant of uncertain significance and prospectively assess copy number variation interpretations and implications under the newer 2020 American College of Medical Genetics and Genomics guidelines. STUDY DESIGN In a single prenatal unit, prospective chromosome testing using copy number variation sequencing for 8030 fetuses with unexpected noninvasive findings identified 139 pregnancies with a copy number variation classified as a variant of uncertain significance according to the 2015 American College of Medical Genetics and Genomics guidelines current at the time. Parent-of-origin testing was subsequently performed to determine if the copy number variation was inherited or de novo. All couples were offered specialized genetic counseling to assist in pregnancy management decisions. For the continued pregnancies that reached term, newborns were clinically assessed for evidence of any disease at 0 to 10 months and/or at 2 to 4 years of age. RESULTS Of the 139 variants of uncertain significance found, most (78%) were inherited with no evidence of disease in the carrier parent. On the basis of primary ultrasound findings combined with results from noninvasive prenatal screening tests, most inherited variant of uncertain significance pregnancies were continued, whereas most pregnancies involving de novo variants of uncertain significance were terminated. From clinical follow-up of the 113 live births, only 5 showed any evidence of a phenotype that was not apparently related to the original variant of uncertain significance. Prospective reanalysis of the 139 variants of uncertain significance using recent 2020 American College of Medical Genetics and Genomics guidelines changed the status of 24 variants of uncertain significance, with 15 reclassified as benign and 9 as pathogenic. However, the 5 children born with an inherited variant of uncertain significance reclassified as pathogenic showed no evidence of a disease phenotype on clinical follow-up. CONCLUSION The severity of fetal ultrasound findings combined with results from parent-of-origin testing were the key drivers in pregnancy management decisions for patients. According to birth outcomes from continued pregnancies, most variants of uncertain significance proved to be apparently benign in nature and potentially of low risk of adverse disease outcome. There was a discordance rate of 17% for variant of uncertain significance scoring between the 2015 and 2020 American College of Medical Genetics and Genomics guidelines for defining a variant of uncertain significance, suggesting that difficulties remain for predicting true pathogenicity. Nonetheless, with increasing knowledge of population copy number variation polymorphisms, and a more complete assessment for alternative genetic causes, patients having prenatal assessments should feel less anxious when a fetal variant of uncertain significance is identified.
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Affiliation(s)
- Panlai Shi
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongbin Liang
- Genetics and Precision Medicine Centre, First People's Hospital of Kunming, Kunming, China
| | - Yaqin Hou
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Duo Chen
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huanan Ren
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Conghui Wang
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanjie Xia
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Da Zhang
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Don Leigh
- Genetics and Precision Medicine Centre, First People's Hospital of Kunming, Kunming, China
| | - David S Cram
- Genetics and Precision Medicine Centre, First People's Hospital of Kunming, Kunming, China.
| | - Xiangdong Kong
- Genetics and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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18
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Li K, Zhao Y, Chau MHK, Cao Y, Leung TY, Kwok YK, Choy KW, Dong Z. Low-Pass Genome Sequencing-Based Detection of Paternity: Validation in Clinical Cytogenetics. Genes (Basel) 2023; 14:1357. [PMID: 37510263 PMCID: PMC10379141 DOI: 10.3390/genes14071357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/22/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
Submission of a non-biological parent together with a proband for genetic diagnosis would cause a misattributed parentage (MP), possibly leading to misinterpretation of the pathogenicity of genomic variants. Therefore, a rapid and cost-effective paternity/maternity test is warranted before genetic testing. Although low-pass genome sequencing (GS) has been widely used for the clinical diagnosis of germline structural variants, it is limited in paternity/maternity tests due to the inadequate read coverage for genotyping. Herein, we developed rapid paternity/maternity testing based on low-pass GS with trio-based and duo-based analytical modes provided. The optimal read-depth was determined as 1-fold per case regardless of sequencing read lengths, modes, and library construction methods by using 10 trios with confirmed genetic relationships. In addition, low-pass GS with different library construction methods and 1-fold read-depths were performed for 120 prenatal trios prospectively collected, and 1 trio was identified as non-maternity, providing a rate of MP of 0.83% (1/120). All results were further confirmed via quantitative florescent PCR. Overall, we developed a rapid, cost-effective, and sequencing platform-neutral paternity/maternity test based on low-pass GS and demonstrated the feasibility of its clinical use in confirming the parentage for genetic diagnosis.
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Affiliation(s)
- Keying Li
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yilin Zhao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
| | - Matthew Hoi Kin Chau
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- Baylor College of Medicine Joint Center for Medical Genetics, The Chinese University of Hong Kong, Hong Kong, China
| | - Ye Cao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Tak Yeung Leung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- Baylor College of Medicine Joint Center for Medical Genetics, The Chinese University of Hong Kong, Hong Kong, China
- The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yvonne K Kwok
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Kwong Wai Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- Baylor College of Medicine Joint Center for Medical Genetics, The Chinese University of Hong Kong, Hong Kong, China
- The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
| | - Zirui Dong
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- The Fertility Preservation Research Center, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China
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19
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Luo H, Wang Q, Fu D, Gao J, Lu D. Additional diagnostic value of CNV-seq over conventional karyotyping in prenatal diagnosis: A systematic review and meta-analysis. J Obstet Gynaecol Res 2023. [PMID: 37037422 DOI: 10.1111/jog.15652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 03/25/2023] [Indexed: 04/12/2023]
Abstract
OBJECTIVE To identify the additional diagnostic value of CNV-seq over conventional karyotyping on the part of chromosomal abnormalities in prenatal diagnosis. METHOD This was a systematic review conducted in accordance with PRISMA criteria. In order to clarify related research, PubMed, Web of Science databases (including Core Collection, BIOSIS Previews, MEDLINE, and so on), The Cochrane Library and Wiley Online Library were searched with the terms: "prenatal diagnosis," "CNV-seq," "karyotyping," published from January 2010 to May 2022. No language restrictions. RenMan 5.4 was used for the meta-analysis. RESULTS Eight studies were included in this systemic review and meta-analysis, including 11 091 pregnant women with high-risk pregnancy factors or with structurally abnormal fetus under ultrasound. CNV-seq detected a 2% (95% CI, -0% to 4%) additional chromosomal anomalies over conventional karyotyping in the six series. A 4% (95% CI, 3%-6%) pooled mean incremental yield of pathogenic CNVs by CNV-seq over karyotyping was observed, with a 1%-16% range. CONCLUSION CNV-seq, applied in prenatal diagnosis, may detect more chromosomal abnormalities when compared with karyotyping. With the advantages of wide coverage, high throughput, high resolution, no culture, good compatibility, and adjustable sequencing depth, CNV-seq has high application value in prenatal diagnosis.
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Affiliation(s)
- Heng Luo
- Medical College of Yangzhou University, Yangzhou, China
| | - Qian Wang
- Department of Obstetrics, Clinical Medical School of Yangzhou University, Yangzhou, China
| | - Dan Fu
- Department of Prenatal Diagnosis, Clinical Medical School of Yangzhou University, Yangzhou, China
| | - Jun Gao
- Department of Obstetrics, Clinical Medical School of Yangzhou University, Yangzhou, China
| | - Dan Lu
- Department of Obstetrics, Clinical Medical School of Yangzhou University, Yangzhou, China
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20
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Lü Y, Jiang Y, Zhou X, Hao N, Lü G, Guo X, Guo R, Liu W, Xu C, Chang J, Li M, Zhang H, Zhou J, Zhang W(V, Qi Q. Evaluation and Analysis of Absence of Homozygosity (AOH) Using Chromosome Analysis by Medium Coverage Whole Genome Sequencing (CMA-seq) in Prenatal Diagnosis. Diagnostics (Basel) 2023; 13:diagnostics13030560. [PMID: 36766665 PMCID: PMC9914714 DOI: 10.3390/diagnostics13030560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/29/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE Absence of homozygosity (AOH) is a genetic characteristic known to cause human diseases mainly through autosomal recessive or imprinting mechanisms. The importance and necessity of accurate AOH detection has become more clinically significant in recent years. However, it remains a challenging task for sequencing-based methods thus far. METHODS In this study, we developed and optimized a new bioinformatic algorithm based on the assessment of minimum sequencing coverage, optimal bin size, the Z-score threshold of four types of allele count and the frequency for accurate genotyping using 28 AOH negative samples, and redefined the AOH detection cutoff value. We showed the performance of chromosome analysis by five-fold coverage whole genome sequencing (CMA-seq) for AOH identification in 27 typical prenatal/postnatal AOH positive samples, which were previously confirmed by chromosomal microarray analysis with single nucleotide polymorphism array (CMA/SNP array). RESULTS The blinded study indicated that for all three forms of AOH, including whole genomic AOH, single chromosomal AOH and segmental AOH, and all kinds of sample types, including chorionic villus sampling, amniotic fluid, cord blood, peripheral blood and abortive tissue, CMA-seq showed equivalent detection power to that of routine CMA/SNP arrays (750K). The subtle difference between the two methods is that CMA-seq is prone to detect small inconsecutive AOHs, while CMA/SNP array reports it as a whole. CONCLUSION Based on our newly developed bioinformatic algorithm, it is feasible to detect clinically significant AOH using CMA-seq in prenatal diagnosis.
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Affiliation(s)
- Yan Lü
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yulin Jiang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiya Zhou
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Na Hao
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Guizhen Lü
- AmCare Genomics Lab, Guangzhou 510335, China
| | | | - Ruidong Guo
- AmCare Genomics Lab, Guangzhou 510335, China
| | - Wenjie Liu
- AmCare Genomics Lab, Guangzhou 510335, China
| | - Chenlu Xu
- AmCare Genomics Lab, Guangzhou 510335, China
| | - Jiazhen Chang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Mengmeng Li
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Hanzhe Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jing Zhou
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
| | | | - Qingwei Qi
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
- Correspondence: ; Tel.: +86-1851-066-6066
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21
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Zhang H, Xu Z, Chen Q, Chen H, Ding X, Liu L, Xiao Y. Comparison of the combined use of CNV-seq and karyotyping or QF-PCR in prenatal diagnosis: a retrospective study. Sci Rep 2023; 13:1862. [PMID: 36725972 PMCID: PMC9892513 DOI: 10.1038/s41598-023-29053-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 01/30/2023] [Indexed: 02/03/2023] Open
Abstract
To elevate the accuracy of diagnostic results, CNV-seq is usually performed simultaneously with karyotyping or QF-PCR. Although several studies have investigated the performance of the combined use of CNV-seq with karyotyping or QF-PCR, there have been no reports focusing on the comparison of these 2 diagnostic strategies. In our study, 2507 pregnant women were included to investigate these 2 strategies. The detection rates of foetal genetic abnormalities and turnaround time were compared between these 2 groups. Moreover, the detection rates of foetal genetic abnormalities in different indications were analyzed. Our results unveiled that the detection rates of numerical chromosomal abnormalities were nearly the same in these 2 groups. In addition to numerical chromosomal abnormalities, 39 balanced karyotypic changes and chromosome polymorphisms were detected via the combined use of karyotyping and CNV-seq. Further investigation revealed that the vast majority of these karyotypic changes were inherited from parents. Compared with the karyotyping group, the combination of QF-PCR and CNV-seq reduced the reporting time from 31.593 ± 4.944 days to 11.460 ± 4.894 days. Meanwhile, NIPT, maternal serum screening and ultrasound scan significantly improved the detection of foetal genetic abnormalities. In conclusion, our results revealed that parental karyotyping is a useful supplementary method for CNV-seq and systematic prenatal examinations improved the detection of foetal genetic defects.
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Affiliation(s)
- Hao Zhang
- Department of Reproductive and Genetic Diseases, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China
| | - Zhihong Xu
- Department of Reproductive and Genetic Diseases, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China. .,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China.
| | - Quan Chen
- Department of Reproductive and Genetic Diseases, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China
| | - Huijuan Chen
- Department of Reproductive and Genetic Diseases, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China
| | - Xiaoli Ding
- Department of Reproductive and Genetic Diseases, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China
| | - Lin Liu
- Department of Reproductive and Genetic Diseases, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China
| | - Yuanyuan Xiao
- Department of Reproductive and Genetic Diseases, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Taishan North Road #173, Deyang, 618000, Sichuan Province, China
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22
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Molecular delineation of de novo small supernumerary marker chromosomes in prenatal diagnosis, a retrospective study. Taiwan J Obstet Gynecol 2023; 62:94-100. [PMID: 36720559 DOI: 10.1016/j.tjog.2022.06.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2022] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVES To define the genotype-phenotype correlation of small supernumerary marker chromosomes (sSMCs) and conduct precise genetic counseling, we retrospectively searched and reviewed de novo sSMCs cases detected during prenatal diagnosis at The First Affiliated Hospital of Zhengzhou University. MATERIALS AND METHODS Chromosome karyotypes of 20,314 cases of amniotic fluid from pregnant women were performed. For 16 samples with de novo sSMCs, 10 were subjected to single-nucleotide polymorphism (SNP) array or low-coverage massively parallel copy number variation sequencing (CNV-seq) analysis. RESULTS Among the 10 sSMCs cases, two sSMCs derived from chromosome 9, and three sSMCs derived from chromosomes 12, 18 and 22. The remaining 5 cases were not identified by SNP array or CNV-seq because they lacked euchromatin or had a low proportion of mosaicism. Four of them with a karyotype of 47,XN,+mar presented normal molecular cytogenetic results (seq[hg19] 46,XN), and the remaining patient with a karyotype of 46,XN,+mar presented with Turner syndrome (seq[hg19] 45,X). Five sSMCs samples were mosaics of all 16 cases. CONCLUSION Considering the variable origins of sSMCs, further genetic testing of sSMCs should be performed by SNP array or CNV-seq. Detailed molecular characterization would allow precise genetic counseling for prenatal diagnosis.
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23
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Zhou W, Jia J, Qu HQ, Ma F, Li J, Qi X, Meng X, Ding Z, Zheng G, Hakonarson H, Zeng X, Li J, Xia Q. Identification of copy number variants contributing to hallux valgus. Front Genet 2023; 14:1116284. [PMID: 37035746 PMCID: PMC10076598 DOI: 10.3389/fgene.2023.1116284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/13/2023] [Indexed: 04/11/2023] Open
Abstract
Hallux valgus is a common form of foot deformity, and genetic factors contribute substantially to the pathogenesis of hallux valgus deformity. We conducted a genetic study on the structural variants underlying familial hallux valgus using whole exome sequencing approach. Twenty individuals from five hallux valgus families and two sporadic cases were included in this study. A total of 372 copy number variations were found and passed quality control filtering. Among them, 43 were only present in cases but not in controls or healthy individuals in the database of genomic variants. The genes covered by these copy number variations were enriched in gene sets related to immune signaling pathway, and cytochrome P450 metabolism. The hereditary CNVs demonstrate a dominant inheritance pattern. Two candidate pathogenic CNVs were further validated by quantitative-PCR. This study suggests that hallux valgus is a degenerative joint disease involving the dysregulation of immune and metabolism signaling pathways.
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Affiliation(s)
- Wentao Zhou
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Jun Jia
- Department of Surgery of Foot and Ankle, Tianjin Hospital, Tianjin, China
| | - Hui-Qi Qu
- Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Feier Ma
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Junyi Li
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xiaohui Qi
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xinyi Meng
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Zhiyong Ding
- Mills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China
| | - Gang Zheng
- National Supercomputer Center in Tianjin (NSCC-TJ), Tianjin, China
| | - Hakon Hakonarson
- Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Xiantie Zeng
- Department of Surgery of Foot and Ankle, Tianjin Hospital, Tianjin, China
| | - Jin Li
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Qianghua Xia
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
- *Correspondence: Qianghua Xia,
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24
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The exploration of genetic aetiology and diagnostic strategy for 321 Chinese individuals with intellectual disability. Clin Chim Acta 2023; 538:94-103. [PMID: 36368352 DOI: 10.1016/j.cca.2022.10.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/08/2022] [Accepted: 10/28/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Intellectual disability is a heterogeneous neurodevelopmental disorder with complex genetic architectures. Different sequential methodologies are usually applied to identify the genetic aetiologies of ID patients. METHODS We collected 321 consecutive ID patients. All patients underwent karyotyping, while 293 and 164 cases further received copy number variation sequencing (CNV-seq) and whole-exome sequencing (WES). The updated WES technology can detect CNVs simultaneously. The diagnostic data from 137 patients who received WES and CNV-seq were used to define the approach that could be recommended as the first-tier test. RESULTS WES obtains the highest diagnostic yield of 50% (82/164), compared with karyotyping (7.79%, 25/321) and CNV-seq (19.80%, 58/293). Among the variants detected by WES, 66.67% (44/66) de novo and 57.58% (38/66) novel pathogenic/likely pathogenic (P/LP) variants were identified in patients with ID. Besides, 24 out of 25P/LP CNVs discovered by CNV-seq can also be accurately identified using WES in 137 patients who received WES and CNV-seq. Thus, genetic abnormalities found through karyotyping, CNV-seq, and WES can be completely detected by combined karyotyping and WES. CONCLUSIONS This study illustrates the genetic aberrations of a Chinese ID cohort and expands the mutation spectrum of ID-related genes. Compared with the conventional diagnostic strategy, a combination of karyotype analysis and WES could be recommended as the first-tier diagnostic strategy for ID patients.
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25
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Yi T, Hao X, Sun H, Zhang Y, Han J, Gu X, Sun L, Liu X, Zhao Y, Guo Y, Zhou X, He Y. Genetic aetiology distribution of 398 foetuses with congenital heart disease in the prenatal setting. ESC Heart Fail 2022; 10:917-930. [PMID: 36478645 PMCID: PMC10053168 DOI: 10.1002/ehf2.14209] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/24/2022] [Accepted: 10/02/2022] [Indexed: 12/12/2022] Open
Abstract
AIMS Copy number variant-sequencing (CNV-seq) and exome sequencing (ES) have been used as powerful tools in understanding the role of genetic variants in congenital heart diseases (CHDs). A few previous large cohort studies have utilized CNV-seq and ES to investigate prenatally diagnosed CHD. Here, we sought to determine the value of CNV-seq and ES for genetic evaluation of foetal CHDs. METHODS AND RESULTS We recruited 398 pregnant women diagnosed with CHDs between 8 January 2017 and 30 November 2020. CNV-seq and ES were performed on foetal and parent samples. CHD cases were classified following the guidelines of the International Paediatric and Congenital Cardiac Code and the Tenth and Eleventh Revisions of the International Classification of Diseases. Data on aneuploids (AUP), pathogenic CNVs (pCNVs), and single nucleotide variants (SNVs) were collected and compared, following appropriate procedures. We identified genetic abnormalities in 129 (32.41%) foetuses. These abnormalities included AUP (10.80%), pCNVs (13.32%), and SNVs (8.04%). ES analysis yielded higher SNVs in cases without AUP or pCNVs. Non-isolated CHDs were associated with higher genetic abnormalities than isolated CHDs, mainly due to AUP differences between the two groups. The prevalence of genetic defects was the highest in foetuses with atrioventricular septal defects (AVSD), left ventricular outflow tract obstruction (LVOTO), and conotruncal defects (CTD). AVSD and anomalies of atrioventricular junctions and valves were associated with AUP abnormalities. CTD, anomalies of extrapericardial arterial trunks, and anomalies of the ventricular outflow tracts were the most common CHD categories diagnosed using CNVs. The most common CHDs associated with single ventricle (SV) abnormalities were heterotaxy (Hex) (14.89%), LVOTO (14.58%), and ventricular septal defect (VSD) (26.67%, 4/15). Although the ES yields were higher than CNV-seq for VSD (44.4%, 4/9), LVOTO (20%, 7/35), Hex (14.89%, 7/47), and CTD (9.1%, 11/121), its diagnostic yield did not increase for SV (6.7%, 1/15), AVSD (3.8%, 1/26), or right ventricular obstruction defects (2.6%, 1/38). The most common mutations were observed in KMT2D, CHD7, and NOTCH1. CONCLUSIONS To our knowledge, this is the largest cohort study to investigate the incidence of SNVs using ES in foetal CHD. CNV-seq and ES identified genetic abnormalities in nearly 1/3 of foetal CHD cases. Thus, CNV-seq and ES can provide clinically relevant information for pregnancy management.
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Affiliation(s)
- Tong Yi
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Xiaoyan Hao
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Hairui Sun
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Ye Zhang
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Jiancheng Han
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Xiaoyan Gu
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Lin Sun
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Xiaowei Liu
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Ying Zhao
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Yong Guo
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Xiaoxue Zhou
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
| | - Yihua He
- Beijing Key Laboratory of Maternal‐Fetal Medicine and Fetal Heart Disease Capital Medical University Affiliated Anzhen Hospital Beijing China
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26
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Zhang S, Xu Y, Lu D, Fu D, Zhao Y. Combined use of karyotyping and copy number variation sequencing technology in prenatal diagnosis. PeerJ 2022; 10:e14400. [PMID: 36523456 PMCID: PMC9745786 DOI: 10.7717/peerj.14400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 10/25/2022] [Indexed: 12/12/2022] Open
Abstract
Background Karyotyping and genome copy number variation sequencing (CNV-seq) are two techniques frequently used in prenatal diagnosis. This study aimed to explore the diagnostic potential of using a combination of these two methods in order to provide a more accurate clinical basis for prenatal diagnosis. Methods We selected 822 pregnant women undergoing amniocentesis and separated them into six groups according to different risk indicators. Karyotyping and CNV-seq were performed simultaneously to compare the diagnostic performance of the two methods. Results Among the different amniocentesis indicators, abnormal fetal ultrasounds accounted for 39.29% of the total number of examinees and made up the largest group. The abnormal detection rate of non-invasive prenatal testing (NIPT) high risk was 37.93% and significantly higher than the other five groups (P < 0.05). The abnormal detection rate of mixed indicators was significantly higher than the history of the adverse reproductive outcomes group (P = 0.0151). The two methods combined found a total of 119 abnormal cases (14.48%). Karyotyping detected 57 cases (6.93%) of abnormal karyotypes, 30 numerical aberrations, and 27 structural aberrations. CNV-seq identified 99 cases (12.04%) with altered CNVs, 30 cases of chromosome aneuploidies, and 69 structural aberrations (28 pathogenic, eight that were likely pathogenic, and 33 microdeletion/duplication variants of uncertain significance (VUS)). Thirty-seven cases were found abnormal by both methods, 20 cases were detected abnormally by karyotyping (mainly mutual translocation and mostly balanced), and 62 cases of microdeletion/duplication were detected by CNV-seq. Steroid sulfatase gene (STS) deletion was identified at chromosome Xp22.31 in three cases. Postnatal follow-up confirmed that babies manifested skin abnormalities one week after birth. Six fetuses had Xp22.31 duplications ranging from 1.5 Kb to 1.7 Mb that were detected by CNV-seq. Follow-up showed that five babies presented no abnormalities during follow-up, except for one terminated pregnancy due to a history of adverse reproductive outcomes. Conclusion The combination of using CNV-seq and karyotyping significantly improved the detection rate of fetal pathogenic chromosomal abnormalities. CNV-seq is an effective complement to karyotyping and improves the accuracy of prenatal diagnosis.
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Affiliation(s)
- Suhua Zhang
- Department of Gynaecology and Obstetrics, Clinical Medical College of Yangzhou University, Northern Jiangsu People’s Hospital, Yang Zhou, Jiangsu Province, China
| | - Yuexin Xu
- Department of Gynaecology and Obstetrics, Clinical Medical College of Yangzhou University, Northern Jiangsu People’s Hospital, Yang Zhou, Jiangsu Province, China
| | - Dan Lu
- Department of Gynaecology and Obstetrics, Clinical Medical College of Yangzhou University, Northern Jiangsu People’s Hospital, Yang Zhou, Jiangsu Province, China
| | - Dan Fu
- Department of Gynaecology and Obstetrics, Clinical Medical College of Yangzhou University, Northern Jiangsu People’s Hospital, Yang Zhou, Jiangsu Province, China
| | - Yan Zhao
- Medical Research Center, Clinical Medical College of Yangzhou University, Northern Jiangsu People’s Hospital, Yang Zhou, Jiangsu Province, China
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27
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Wen Q, Wang X, Zhang H, Liu X, Xu Z. Distribution and transmission of copy number variations of uncertain significance in 105 trios. Mol Genet Genomic Med 2022; 10:e2030. [PMID: 35946057 PMCID: PMC9482387 DOI: 10.1002/mgg3.2030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/14/2022] [Accepted: 07/19/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The distribution and genetic characteristics of copy number variations (CNVs) remain unclear. Here, we investigated the distribution and transmission of CNVs of uncertain significance in fetuses. METHODS Low-coverage massively parallels CNV sequencing of 105 families (parents and their fetuses) was performed to identify fetal CNVs of uncertain significance. RESULTS In the 105 fetuses, 176 CNVs of uncertain significance were detected, and the average number of CNVs carried by fetuses was 1.68 ± 0.80. Among the CNVs carried by the fetuses, 79.8% were inherited (~90.0% of the fetuses) and 20.2% were new mutations (~30.0% of the fetuses). We found that 58.9% CNVs were of maternal origin and 41.1% were of paternal origin. Among the CNV subtypes, de novo CNV distribution was significantly different from inherited CNV distribution. There was no difference in the distribution of maternal and paternal CNV subtypes in the fetuses. The proportion of microdeletions (36.7%) and microduplications (63.3%) was similar in the fetuses and parents. Furthermore, we found that when parents carried more CNVs of uncertain significance, the chance of passing them on to their offspring decreased. CONCLUSION This study deepens our understanding of the genetic mechanisms associated with CNV transmission to assist clinicians in prenatal counseling.
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Affiliation(s)
- Qiang Wen
- Department of Reproductive Genetics, Deyang People's Hospital, Deyang, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Deyang, China
| | - Xiu Wang
- Department of Reproductive Genetics, Deyang People's Hospital, Deyang, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Deyang, China
| | - Hao Zhang
- Department of Reproductive Genetics, Deyang People's Hospital, Deyang, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Deyang, China
| | - Xiaoyan Liu
- Department of Reproductive Genetics, Deyang People's Hospital, Deyang, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Deyang, China
| | - Zhihong Xu
- Department of Reproductive Genetics, Deyang People's Hospital, Deyang, China.,Deyang Key Laboratory of Birth Defects Prevention and Control, Deyang People's Hospital, Deyang, China
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28
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Gao Y, Zhang J, Liu Z, Qi S, Guo X, Wang H, Cheng Y, Tian S, Ma M, Peng H, Wen L, Tang F, Yao Y. Single-cell Sequencing Reveals Clearance of Blastula Chromosomal Mosaicism in In Vitro Fertilization Babies. GENOMICS, PROTEOMICS & BIOINFORMATICS 2022; 20:1224-1231. [PMID: 35944838 DOI: 10.1016/j.gpb.2022.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/11/2022] [Accepted: 07/26/2022] [Indexed: 12/27/2022]
Abstract
Although chromosomal mosaic embryos detected by trophectoderm (TE) biopsy offer healthy embryos available for transfer, high-resolution postnatal karyotyping and chromosome testing of the transferred embryos are insufficient. Here, we applied single-cell multi-omics sequencing for seven infants with blastula chromosomal mosaicism detected by TE biopsy. The chromosome ploidy was examined by single-cell genome analysis, with the cellular identity being identified by single-cell transcriptome analysis. A total of 1616 peripheral leukocytes from seven infants with embryonic chromosomal mosaicism and three control ones with euploid TE biopsy were analyzed. A small number of blood cells showed copy number alterations (CNAs) on seemingly random locations at a frequency of 0%-2.5% per infant. However, none of the cells showed CNAs that were the same as those of the corresponding TE biopsies. The blastula chromosomal mosaicism may be fully self-corrected, probably through the selective loss of the aneuploid cells during development, and the transferred embryos can be born as euploid infants without mosaic CNAs corresponding to the TE biopsies. The results provide a new reference for the evaluations of transferring chromosomal mosaic embryos in certain situations.
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Affiliation(s)
- Yuan Gao
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Jinning Zhang
- Department of Gynaecology and Obstetrics, The First Medical Center of PLA General Hospital, Beijing 100853, China; Reproductive Medicine and Prenatal Diagnosis Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
| | - Zhenyu Liu
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Shuyue Qi
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Xinmeng Guo
- Department of Gynaecology and Obstetrics, The First Medical Center of PLA General Hospital, Beijing 100853, China; Reproductive Medicine and Prenatal Diagnosis Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
| | - Hui Wang
- Department of Gynaecology and Obstetrics, The First Medical Center of PLA General Hospital, Beijing 100853, China; Reproductive Medicine and Prenatal Diagnosis Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
| | - Yanfei Cheng
- Department of Gynaecology and Obstetrics, The First Medical Center of PLA General Hospital, Beijing 100853, China; Reproductive Medicine and Prenatal Diagnosis Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
| | - Shuang Tian
- Department of Gynaecology and Obstetrics, The First Medical Center of PLA General Hospital, Beijing 100853, China; Reproductive Medicine and Prenatal Diagnosis Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
| | - Minyue Ma
- Department of Gynaecology and Obstetrics, The First Medical Center of PLA General Hospital, Beijing 100853, China; Reproductive Medicine and Prenatal Diagnosis Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
| | - Hongmei Peng
- Department of Gynaecology and Obstetrics, The First Medical Center of PLA General Hospital, Beijing 100853, China; Reproductive Medicine and Prenatal Diagnosis Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
| | - Lu Wen
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Fuchou Tang
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China.
| | - Yuanqing Yao
- Department of Gynaecology and Obstetrics, The First Medical Center of PLA General Hospital, Beijing 100853, China; Reproductive Medicine and Prenatal Diagnosis Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China.
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29
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Zhang L, Liu X, Zhao Y, Wang Q, Zhang Y, Gao H, Zhang B, Cui W, Zhao Y. Genetic subtypes and phenotypic characteristics of 110 patients with Prader-Willi syndrome. Ital J Pediatr 2022; 48:121. [PMID: 35870983 PMCID: PMC9308266 DOI: 10.1186/s13052-022-01319-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 07/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Prader-Willi syndrome (PWS) is a complex disorder caused by impaired paternally expressed genes on chromosome 15q11-q13. Variable findings have been reported about the phenotypic differences among PWS genetic subtypes. METHODS A total of 110 PWS patients were diagnosed from 8,572 pediatric patients included from July 2013 to December 2021 by MLPA and MS-MLPA assays. Atypical deletions were defined by genomic CNV-sequencing. Maternal uniparental disomy (UPD) was subgrouped by microsatellite genotyping. Clinical data were collected for phenotype-genotype associations. Twenty-one patients received growth hormone (GH) treatment, and the anthropometric and laboratory parameters were evaluated and compared. RESULTS Genetically, the 110 patients with PWS included 29 type I deletion, 56 type II deletion, 6 atypical deletion, 11 heterodisomy UPD, and 8 isodisomy UPD. The UPD group had significantly higher maternal age (31.4 ± 3.4 vs 27.8 ± 3.8 years), more anxiety (64.29% vs 26.09%) and autistic traits (57.14% vs 26.09%), and less hypopigmentation (42.11% vs 68.24%) and skin picking (42.86% vs 71.01%) than the deletion group. The type I deletion group was diagnosed at earlier age (3.7 ± 3.3 vs 6.2 ± 3.2 years) and more common in speech delay (95.45% vs 63.83%) than the type II. The isodisomy UPD group showed a higher tendency of anxiety (83.33% vs 50%) than the heterodisomy. GH treatment for 1 year significantly improved the SDS of height (- 0.43 ± 0.68 vs - 1.32 ± 1.19) and IGF-I (- 0.45 ± 0.48 vs - 1.97 ± 1.12). No significant changes were found in thyroid function or glucose/lipid metabolism. CONCLUSION We explored the physical, psychological and behavioral phenotype-genotype associations as well as the GH treatment effect on PWS from a large cohort of Chinese pediatric patients. Our data might promote pediatricians' recognition and early diagnosis of PWS.
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Affiliation(s)
- Lu Zhang
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, No 36 Sanhao Street, Heping Ward, Shenyang, 110004, China
| | - Xiaoliang Liu
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, No 36 Sanhao Street, Heping Ward, Shenyang, 110004, China
| | - Yunjing Zhao
- Department of Developmental Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qingyi Wang
- Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Yuanyuan Zhang
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, No 36 Sanhao Street, Heping Ward, Shenyang, 110004, China
| | - Haiming Gao
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, No 36 Sanhao Street, Heping Ward, Shenyang, 110004, China
| | - Bijun Zhang
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, No 36 Sanhao Street, Heping Ward, Shenyang, 110004, China
| | - Wanting Cui
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, No 36 Sanhao Street, Heping Ward, Shenyang, 110004, China
| | - Yanyan Zhao
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, No 36 Sanhao Street, Heping Ward, Shenyang, 110004, China.
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30
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Dai P, Zhu X, Pei Y, Chen P, Li J, Gao Z, Liang Y, Kong X. Evaluation of optical genome mapping for detecting chromosomal translocation in clinical cytogenetics. Mol Genet Genomic Med 2022; 10:e1936. [PMID: 35384386 PMCID: PMC9184658 DOI: 10.1002/mgg3.1936] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/13/2022] [Accepted: 03/17/2022] [Indexed: 11/10/2022] Open
Abstract
Background Balanced reciprocal translocation is one of the most common chromosomal abnormalities in humans that may lead to infertility, recurrent pregnancy loss, or having children with physical or mental abnormalities. Karyotyping and FISH are traditional detection approaches with a low resolution. Bionano optical genome mapping (OGM) developed in recent years can be used to analyze chromosomal abnormalities at a higher resolution, providing the possibility of more in‐depth analyses of balanced chromosome translocations. Methods To evaluate the feasibility of OGM to detect chromosome balanced translocations, 10 genetic outpatients were collected and detected simultaneously by karyotype analysis, FISH, CNV‐seq, and Bionano OGM in this study. Results The results showed that the karyotypes of the patients were detected by karyotype analysis, FISH, and Bionano OGM, but one patient with karyotype t(Y,19) was not correctly detected by OGM. There were not find any chromosome abnormality by CNV‐seq. More importantly, OGM allowed the location of the mutation to the gene level, which is important for aiding diagnoses, compared to karyotype analysis, and FISH. Conclusions This study shows that OGM can be a high adjunctive diagnostic method for detecting balanced chromosome translocations, but the accuracy and precision of OGM detecting mutations need to be gradually improved in telomere and centromere regions.
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Affiliation(s)
- Peng Dai
- The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaofan Zhu
- The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | - Peng Chen
- Department of Neurology, The First Hospital of Yulin, Yulin, China
| | | | - Zhi Gao
- The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yu Liang
- GrandOmics Diagnostic, Wuhan, China
| | - Xiangdong Kong
- The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Zheng Y, Zhu B, Tan J, Guan Y, Morton CC, Lu G. Experience of Low-Pass Whole-Genome Sequencing-Based Copy Number Variant Analysis: A Survey of Chinese Tertiary Hospitals. Diagnostics (Basel) 2022; 12:diagnostics12051098. [PMID: 35626254 PMCID: PMC9139561 DOI: 10.3390/diagnostics12051098] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/14/2022] [Accepted: 04/23/2022] [Indexed: 11/16/2022] Open
Abstract
In China, low-pass whole-genome sequencing (low-pass WGS) is emerging as an alternative diagnostic test to detect copy number variants (CNVs). This survey aimed to study the laboratory practice, service quality, and case volumes of low-pass WGS-based CNV analysis among national accredited Chinese tertiary hospitals that have routinely applied low-pass WGS for more than a year and that have been certified in next-generation sequencing (NGS) clinical applications for more than three years. The questionnaire focused on (1) the composition of patients’ referral indications for testing and annual case volumes; (2) the capacity of conducting laboratory assays, bioinformatic analyses, and reporting; (3) the sequencing platforms and parameters utilized; and (4) CNV nomenclature in reports. Participants were required to respond based on their routine laboratory practices and data audited in a 12-month period from February 2019 to January 2020. Overall, 24 participants representing 24 tertiary referral hospitals from 21 provincial administrative regions in China returned the questionnaires. Excluding three hospitals routinely applying low-pass WGS for non-invasive prenatal testing (NIPT) only, the analysis only focused on the data submitted by the rest 21 hospitals. These hospitals applied low-pass WGS-based CNV analysis for four primary applications: high-risk pregnancies, spontaneous abortions, couples with adverse pregnancy history, and children with congenital birth defects. The overall estimated annual sample volume was over 36,000 cases. The survey results showed that the most commonly reported detection limit for CNV size (resolution) was 100 kb; however, the sequencing methods utilized by the participants were variable (single-end: 61.90%, 13/21; paired-end: 28.57%, 6/21; both: 9.52%, 2/21). The diversity was also reflected in the sequencing parameters: the mean read count was 13.75 million reads/case (95% CI, 9.91–17.60) and the read-length median was 65 bp (95% CI, 75.17–104.83). To assess further the compliance of the CNV reporting nomenclature according to the 2016 edition of International System for Human Cytogenomics Nomenclature (ISCN 2016), a scoring metric was applied and yielded responses from 19 hospitals; the mean compliance score was 7.79 out of 10 points (95% CI, 6.78–8.80). Our results indicated that the low-pass WGS-based CNV analysis service is in great demand in China. From a quality control perspective, challenges remain regarding the establishment of standard criteria for low-pass WGS-based CNV analysis and data reporting formats. In summary, the low-pass WGS-based method is becoming a common diagnostic approach, transforming the possibilities for genetic diagnoses for patients in China.
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Affiliation(s)
- Yu Zheng
- Prenatal Genetic Diagnosis Centre, Department of Obstetrics & Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China;
| | - Baosheng Zhu
- Department of Genetics Medicine, First People’s Hospital of Yunnan Province, Kunming 650021, China;
| | - Jichun Tan
- Reproductive Medicine Centre, Shengjing Hospital of China Medical University, Shenyang 110055, China;
| | - Yichun Guan
- Reproductive Medicine Centre, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China;
| | | | - Cynthia C. Morton
- Department of Obstetrics and Gynecology and Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Manchester Centre for Audiology and Deafness (ManCAD), School of Health Sciences, University of
Manchester, Manchester M13 9PL, UK
- Correspondence: (C.C.M.); (G.L.)
| | - Guangxiu Lu
- Genetics Centre, Reproductive & Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
- Correspondence: (C.C.M.); (G.L.)
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Qiao J, Yuan J, Hu W, Li Q, Fang H, Xu Y, Dai Y. Combined diagnosis of QF-PCR and CNV-Seq in fetal chromosomal abnormalities: A new perspective on prenatal diagnosis. J Clin Lab Anal 2022; 36:e24311. [PMID: 35195919 PMCID: PMC8993611 DOI: 10.1002/jcla.24311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 01/18/2022] [Accepted: 02/16/2022] [Indexed: 11/06/2022] Open
Abstract
Objective This study aimed to evaluate the effect of QF‐PCR and CNV‐seq in diagnosing prenatal fetal chromosomal aberrations, explore the advantages and necessity of multimethod joint diagnosis. Methods We chose pregnant women with the indication of fetal chromosome examination in our hospital last year, collected 657 cases of amniotic fluid for QF‐PCR and CNV‐seq analyzes. Results While detecting aneuploidy, the coincidence rate of QF‐PCR and CNV‐seq was 100% (56/56). For all 46 chromosomes, 523 cases (79.60%, 523/657) coincided precisely, 128 cases (19.48%, 128/657) showed abnormality with CNV‐seq, 8 cases (1.22%, 8/657) revealed abnormality by QF‐PCR. In serological Down's syndrome screening, 328 cases showed a high risk of trisomy 21, of which CNV‐seq and QF‐PCR were consistent in 4 cases (1.22%, 4/328), CNV‐seq found 87 cases of CNVs in 78 samples except for chromosomal aneuploidy abnormalities, among these, 18 cases (20.69%, 18/87) were polymorphic, 7 cases (8.05%, 7/87) might cause disease, 13 cases (14.94%, 13/87) caused disease explicitly, 21 cases (24.14%, 21/87) were possibly benign, 17 cases (19.54%, 17/87) were explicitly benign, and the classification of 11 cases (12.64%, 11/87) was unclear. Conclusion QF‐PCR and CNV‐seq were highly consistent in diagnosing chromosomal aneuploidy. The high risk of serological Down's screening might not only due to the aneuploidy of chromosomes 21, 18, and NTD, but also the microdeletion or microduplication of all 46 chromosomes. So using CNV‐seq combined with QF‐PCR could effectively reduce the risk of missed diagnosis.
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Affiliation(s)
- Jinping Qiao
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Jing Yuan
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Wenjun Hu
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Qin Li
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Huiqin Fang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yuanhong Xu
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yaqian Dai
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
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Xie M, Li J, Hu H, Wang P, Cong X, Li J, Dai L, Lu Y, Zhang W. Development and validation of a novel 26-plex system for prenatal diagnosis with forensic markers. Int J Legal Med 2022; 136:527-537. [PMID: 35102446 DOI: 10.1007/s00414-022-02780-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 01/18/2022] [Indexed: 10/19/2022]
Abstract
Short tandem repeat (STR) loci are commonly used in forensic casework, such as personal identification and paternity testing. In recent years, STR has also been widely used for rapid, accurate and automated prenatal diagnosis, known as quantitative fluorescent PCR (QF-PCR). Despite their usefulness, the current systems often lack the power to detect mosaicism for Turner syndrome. In this study, we developed a novel 26-plex system that combined the 22 STRs in chromosome 21/18/13/X, 3 sex loci and 1 quality control marker (TAF9L). The system was generated to achieve greater diagnostic power of trisomy 21/18/13 and sex chromosome abnormalities. Studies of the sensitivity, specificity, stability and accuracy were performed according to the Scientific Working Group on DNA Analysis Methods (SWGDAM) guidelines. Compared with the results of the chromosomal microarray analysis (CMA)/copy number variation sequencing (CNV-seq), the detection ratio of non-mosaic chromosome abnormalities of this system in the identification of chromosome 21/18/13/X/Y aneuploidies reached 100%, and the rate of negative results was consistently 100% based on 203 prenatal diagnosis sample analyses. In addition, our results suggested that this panel was a useful tool for mosaicism for Turner syndrome cases. Interestingly, we found one case with large segment loss of chromosome X, which indicated that we should be alert to this situation when the STR genotype of the parent-child is inconsistent in forensic genetics. In summary, this study demonstrated that our system is an accurate, cost-effective and rapid approach for the detection of chromosome numerical abnormalities in prenatal diagnosis.
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Affiliation(s)
- Mingkun Xie
- Department of Obstetrics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Jienan Li
- Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Huan Hu
- Beijing Microread Genetics Co., Ltd., Beijing, China
| | - Panpan Wang
- Beijing Microread Genetics Co., Ltd., Beijing, China
| | - Xueqi Cong
- Beijing Microread Genetics Co., Ltd., Beijing, China
| | - Jingzhi Li
- Department of Obstetrics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Lei Dai
- Department of Obstetrics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Yang Lu
- Department of Obstetrics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Weishe Zhang
- Department of Obstetrics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China.
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Liu K, Gao Y, Han J, Han X, Shi Y, Liu C, Li J. Diffuse Large B-Cell Lymphoma of the Mandible Diagnosed by Metagenomic Sequencing: A Case Report. Front Med (Lausanne) 2022; 8:752523. [PMID: 35004723 PMCID: PMC8732773 DOI: 10.3389/fmed.2021.752523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 12/06/2021] [Indexed: 11/18/2022] Open
Abstract
Introduction: Non-Hodgkin lymphoma (NHL) has a much higher incidence rate than Hodgkin lymphoma. Approximately 40% NHL occurs in extranodal tissues or organs, and its clinical manifestations are often nonspecific. Primary bone NHL involving the mandible is an uncommon NHL that is characterized by fever, gum swelling and toothache. Therefore, it is often misdiagnosed as oral diseases. Case Presentation: A 52-year-old female had recurrent fever for more than 1 month, with numbness in her left jaw and toothache. PET/CT showed an uptake area in the left mandible, suggesting microbial infections. However, antibacterial, and antiviral treatment were ineffective. Furthermore, metagenomic sequencing of plasma reported no pathogens, but instead showed significant copy number variations of multiple chromosomes, which highly suggested the existence of tumor. Finally, diffuse large B-cell lymphoma (DLBCL) was diagnosed by mandibular biopsy, and the patient was transferred to Hematology department for chemotherapy. Conclusion: mNGS not only assists rapid etiological diagnosis, but also helps rule out infection and diagnose malignant neoplasm.
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Affiliation(s)
- Kaili Liu
- Department of General Medical Ward, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yang Gao
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Jiawei Han
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xu Han
- Department of Medical, Hangzhou Matridx Biotechnology Co., Ltd, Hangzhou, China
| | - Yingqi Shi
- Department of Medical, Hangzhou Matridx Biotechnology Co., Ltd, Hangzhou, China
| | - Chao Liu
- Department of Medical, Hangzhou Matridx Biotechnology Co., Ltd, Hangzhou, China
| | - Jie Li
- Department of General Medical Ward, First Affiliated Hospital of Soochow University, Suzhou, China
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35
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Chen X, Jiang Y, Chen R, Qi Q, Zhang X, Zhao S, Liu C, Wang W, Li Y, Sun G, Song J, Huang H, Cheng C, Zhang J, Cheng L, Liu J. Clinical efficiency of simultaneous CNV-seq and whole-exome sequencing for testing fetal structural anomalies. J Transl Med 2022; 20:10. [PMID: 34980134 PMCID: PMC8722033 DOI: 10.1186/s12967-021-03202-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 12/16/2021] [Indexed: 12/27/2022] Open
Abstract
Background Birth defects are responsible for approximately 7% of neonatal deaths worldwide by World Health Organization in 2004. Many methods have been utilized for examining the congenital anomalies in fetuses. This study aims to investigate the efficiency of simultaneous CNV-seq and whole-exome sequencing (WES) in the diagnosis of fetal anomaly based on a large Chinese cohort. Methods In this cohort study, 1800 pregnant women with singleton fetus in Hubei Province were recruited from 2018 to 2020 for prenatal ultrasonic screening. Those with fetal structural anomalies were transferred to the Maternal and Child Health Hospital of Hubei Province through a referral network in Hubei, China. After multidisciplinary consultation and decision on fetal outcome, products of conception (POC) samples were obtained. Simultaneous CNV-seq and WES was conducted to identify the fetal anomalies that can compress initial DNA and turnaround time of reports. Results In total, 959 couples were finally eligible for the enrollment. A total of 227 trios were identified with a causative alteration (CNV or variant), among which 191 (84.14%) were de novo. Double diagnosis of pathogenic CNVs and variants have been identified in 10 fetuses. The diagnostic yield of multisystem anomalies was significantly higher than single system anomalies (32.28% vs. 22.36%, P = 0.0183). The diagnostic rate of fetuses with consistent intra- and extra-uterine phenotypes (172/684) was significantly higher than the rate of these with inconsistent phenotypes (17/116, P = 0.0130). Conclusions Simultaneous CNV-seq and WES analysis contributed to fetal anomaly diagnosis and played a vital role in elucidating complex anomalies with compound causes. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-03202-9.
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Affiliation(s)
- Xinlin Chen
- Department of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China
| | - Yulin Jiang
- Department of Obstetrics and Gynecology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Ruiguo Chen
- Berry Genomics Corporation, Beijing, 102200, China
| | - Qingwei Qi
- Department of Obstetrics and Gynecology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | | | - Sheng Zhao
- Department of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China
| | - Chaoshi Liu
- Berry Genomics Corporation, Beijing, 102200, China
| | - Weiyun Wang
- Department of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China
| | - Yuezhen Li
- Berry Genomics Corporation, Beijing, 102200, China
| | - Guoqiang Sun
- Department of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China
| | - Jieping Song
- Department of Genetic Laboratory, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China
| | - Hui Huang
- Department of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China
| | - Chen Cheng
- Department of Ultrasound Diagnosis, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, Hubei, China
| | | | - Longxian Cheng
- Department of Ultrasound Diagnosis, Hubei Maternity and Child Health Hospital, No. 745, Wuluo Road, Hongshan District, Wuhan, 430030, Hubei, China.
| | - Juntao Liu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No. 1, Shuaifu Garden, Dongcheng District, Beijing, 100730, China.
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He JC, Li SY, He WZ, Xian JJ, Ma XY, Wang YC, Zhang MC, Ye GX, Liang B, Xia Q, Li Q. Application of Restriction Site-Associated DNA Sequencing (RAD-Seq) for Copy Number Variation and Triploidy Detection in Human. Cytogenet Genome Res 2021; 161:406-413. [PMID: 34657031 DOI: 10.1159/000518930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 08/06/2021] [Indexed: 11/19/2022] Open
Abstract
At present, low-pass whole-genome sequencing (WGS) is frequently used in clinical research and in the screening of copy number variations (CNVs). However, there are still some challenges in the detection of triploids. Restriction site-associated DNA sequencing (RAD-Seq) technology is a reduced-representation genome sequencing technology developed based on next-generation sequencing. Here, we verified whether RAD-Seq could be employed to detect CNVs and triploids. In this study, genomic DNA of 11 samples was extracted employing a routine method and used to build libraries. Five cell lines of known karyotypes and 6 triploid abortion tissue samples were included for RAD-Seq testing. The triploid samples were confirmed by STR analysis and also tested by low-pass WGS. The accuracy and efficiency of detecting CNVs and triploids by RAD-Seq were then assessed, compared with low-pass WGS. In our results, RAD-Seq detected 11 out of 11 (100%) chromosomal abnormalities, including 4 deletions and 1 aneuploidy in the purchased cell lines and all triploid samples. By contrast, these triploids were missed by low-pass WGS. Furthermore, RAD-Seq showed a higher resolution and more accurate allele frequency in the detection of triploids than low-pass WGS. Our study shows that, compared with low-pass WGS, RAD-Seq has relatively higher accuracy in CNV detection at a similar cost and is capable of identifying triploids. Therefore, the application of this technique in medical genetics has a significant potential value.
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Affiliation(s)
- Jian-Chun He
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shao-Ying Li
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wen-Zhi He
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jia-Jia Xian
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiao-Yan Ma
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yan-Chao Wang
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Min-Cong Zhang
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guo-Xin Ye
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bo Liang
- Basecare Medical Device Co., Ltd, Suzhou, China
| | - Qin Xia
- Basecare Medical Device Co., Ltd, Suzhou, China,
| | - Qing Li
- Key Laboratory for Major Obstetric Diseases of Guangdong Province, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Chau MHK, Qian J, Chen Z, Li Y, Zheng Y, Tse WT, Kwok YK, Leung TY, Dong Z, Choy KW. Trio-Based Low-Pass Genome Sequencing Reveals Characteristics and Significance of Rare Copy Number Variants in Prenatal Diagnosis. Front Genet 2021; 12:742325. [PMID: 34616436 PMCID: PMC8488434 DOI: 10.3389/fgene.2021.742325] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 08/25/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Low-pass genome sequencing (GS) detects clinically significant copy number variants (CNVs) in prenatal diagnosis. However, detection at improved resolutions leads to an increase in the number of CNVs identified, increasing the difficulty of clinical interpretation and management. Methods: Trio-based low-pass GS was performed in 315 pregnancies undergoing invasive testing. Rare CNVs detected in the fetuses were investigated. The characteristics of rare CNVs were described and compared to curated CNVs in other studies. Results: A total of 603 rare CNVs, namely, 597 constitutional and 6 mosaic CNVs, were detected in 272 fetuses (272/315, 86.3%), providing 1.9 rare CNVs per fetus (603/315). Most CNVs were smaller than 1 Mb (562/603, 93.2%), while 1% (6/603) were mosaic. Forty-six de novo (7.6%, 46/603) CNVs were detected in 11.4% (36/315) of the cases. Eighty-four CNVs (74 fetuses, 23.5%) involved disease-causing genes of which the mode of inheritance was crucial for interpretation and assessment of recurrence risk. Overall, 31 pathogenic/likely pathogenic CNVs were detected, among which 25.8% (8/31) were small (<100 kb; n = 3) or mosaic CNVs (n = 5). Conclusion: We examined the landscape of rare CNVs with parental inheritance assignment and demonstrated that they occur frequently in prenatal diagnosis. This information has clinical implications regarding genetic counseling and consideration for trio-based CNV analysis.
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Affiliation(s)
- Matthew Hoi Kin Chau
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China
| | - Jicheng Qian
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China
| | - Zihan Chen
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China
| | - Ying Li
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China
| | - Yu Zheng
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China
| | - Wing Ting Tse
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China
| | - Yvonne K Kwok
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China
| | - Tak Yeung Leung
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center For Medical Genetics, Shatin, Hong Kong, SAR China
| | - Zirui Dong
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China
| | - Kwong Wai Choy
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Hong Kong, SAR China.,Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR China.,The Chinese University of Hong Kong-Baylor College of Medicine Joint Center For Medical Genetics, Shatin, Hong Kong, SAR China
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Wu H, Huang Q, Zhang X, Yu Z, Zhong Z. Analysis of Genomic Copy Number Variation in Miscarriages During Early and Middle Pregnancy. Front Genet 2021; 12:732419. [PMID: 34603391 PMCID: PMC8484914 DOI: 10.3389/fgene.2021.732419] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 08/31/2021] [Indexed: 12/13/2022] Open
Abstract
The purpose of this study was to explore the copy number variations (CNVs) associated with miscarriage during early and middle pregnancy and provide useful genetic guidance for pregnancy and prenatal diagnosis. A total of 505 fetal specimens were collected and CNV sequencing (CNV-seq) analysis was performed to determine the types and clinical significance of CNVs, and relevant medical records were collected. The chromosomal abnormality rate was 54.3% (274/505), among which the numerical chromosomal abnormality rate was 40.0% (202/505) and structural chromosomal abnormality rate was 14.3% (72/505). Chromosomal monosomy mainly occurred on sex chromosomes, and chromosomal trisomy mainly occurred on chromosomes 16, 22, 21, 15, 13, and 9. The incidence of numerical chromosomal abnormalities in ≥35 year-old age pregnant women was significantly higher than <35 year-old age group. The highest incidence of pathogenic CNV (pCNV) was found in fetuses at ≤6 weeks of pregnancy (5.26%), and the incidence of variants of unknown significance (VOUS) CNVs decreased gradually with the increase of gestational age. The rate of chromosomal abnormalities of fetuses in early pregnancy (59.5%) was higher than that of fetuses in middle pregnancy (27.2%) (p < 0.001). There were 168 genes in VOUS + pCNV regions. 41 functions and 12 pathways (p < 0.05) were enriched of these genes by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Some meaningful genetic etiology information such as genes and pathways has been obtained, it may provide useful genetic guidance for pregnancy and prenatal diagnosis.
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Affiliation(s)
- Heming Wu
- Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, 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, China
| | - Qingyan Huang
- Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, 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, China
| | - Xia Zhang
- 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, China.,Center for Prenatal Diagnosis, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
| | - Zhikang Yu
- Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, 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, China
| | - Zhixiong Zhong
- Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, 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, China
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Zhang Y, Liu X, Gao H, He R, Chu G, Zhao Y. Copy number variations of chromosome 17p11.2 region in children with development delay and in fetuses with abnormal imaging findings. BMC Med Genomics 2021; 14:215. [PMID: 34470638 PMCID: PMC8411507 DOI: 10.1186/s12920-021-01065-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 08/20/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Deletion and duplication of the 3.7 Mb region in 17p11.2 result in two syndromes, Smith-Magenis syndrome and Potocki-Lupski syndrome, which are well-known development disorders. The purpose of this study was to determine the prevalence, genetic characteristics and clinical phenotypes of 17p11.2 deletion/duplication in Chinese children with development delay and in fetuses with potential congenital defects. METHODS 7077 children with development delay and/or intellectual disability were screened by multiplex ligation-dependent probe amplification P245 assay. 7319 fetuses with potential congenital defects were tested using next generation sequencing technique. RESULTS 417 of 7077 pediatric patients were determined to carry chromosome imbalance. 28 (28/7077, 0.4%) cases had imbalance at chromosome 17p11.2. Among them, 12 cases (42.9%) had heterozygous deletions and 16 cases (57.1%) had heterozygous duplications. The clinical phenotypes were variable, including neurobehavioral disorders, craniofacial/skeletal anomalies, immunologic defects, ocular problems and organ malformations. 263 of 7319 fetuses were recognized to have genomic copy number variations. Only 2 of them were found to harbor 17p11.2 imbalance. The fetus with deletion presented with ventricular septal defect and the fetus with duplication had cerebral ventricle dilation. CONCLUSION Our study highlights the phenotypic variability associated with 17p11.2 variations in China. The results further expand the phenotypic spectrum of SMS/PTLS and increase awareness of these disruptive mutations among clinicians.
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Affiliation(s)
- Yuanyuan Zhang
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaoliang Liu
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Haiming Gao
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Rong He
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Guoming Chu
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yanyan Zhao
- Department of Clinical Genetics, Shengjing Hospital of China Medical University, Shenyang, China.
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40
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Zhang X, Huang Q, Yu Z, Wu H. Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next-generation sequencing analysis. J Gene Med 2021; 23:e3383. [PMID: 34342101 PMCID: PMC9285438 DOI: 10.1002/jgm.3383] [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] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 07/21/2021] [Accepted: 07/30/2021] [Indexed: 12/17/2022] Open
Abstract
Background The present study aimed to explore the etiological relationship between miscarriage and stillbirth and copy number variations (CNVs), as well as provide useful genetic guidance for high‐risk pregnancy. Methods In total, 659 fetal samples were recruited and subjected to DNA extraction and CNV sequencing (CNV‐seq), relevant medical records were collected. Results There were 322 cases (48.86%) with chromosomal abnormalities, including 230 with numerical abnormalities and 92 with structural abnormalities. Chromosomal monosomy variations mainly occurred on sex chromosomes and trisomy variations mainly occurred on chromosomes 16, 22, 21, 18, 13 and 15. In total, 41 pathogenic CNVs (23 microdeletions and 18 microduplications) were detected in 27 fetal tissues. The rates of numerical chromosomal abnormalities were 29.30% (109/372), 32.39% (57/176) and 57.66% (64/111) in < 30‐year‐old, 30–34‐year‐old and ≥ 35‐year‐old age pregnant women, respectively, and increased with an increasing age (p < 0.001). There was statistically significant difference (χ2 = 7.595, p = 0.022) in the rates of structural chromosomal abnormalities in these groups (13.71%, 18.75% and 7.21%, respectively). The rates of numerical chromosomal abnormalities were 45.44% (219/482), 7.80% (11/141) and 0% (0/36) in the ≤ 13 gestational weeks, 14–27 weeks and ≥ 28 weeks groups, respectively, and decreased with respect to the increasing gestational age of the fetuses (p < 0.001). Conclusions The present study has obtained useful and accurate genetic etiology information that will provide useful genetic guidance for high‐risk pregnancies.
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Affiliation(s)
- Xia Zhang
- Center for Prenatal Disgnosis, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, 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, China
| | - Qingyan Huang
- 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, China.,Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
| | - Zhikang Yu
- 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, China.,Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, 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, China.,Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China
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Hao Y, Yang W, Zheng W, Chen X, Wang H, Zhao L, Xu J, Guo X. Tumor elastography and its association with cell-free tumor DNA in the plasma of breast tumor patients: a pilot study. Quant Imaging Med Surg 2021; 11:3518-3534. [PMID: 34341728 DOI: 10.21037/qims-20-443] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Accepted: 03/18/2021] [Indexed: 12/24/2022]
Abstract
Background Breast tumor stiffness, which can be objectively and noninvasively evaluated by ultrasound elastography (UE), has been useful for the differentiation of benign and malignant breast lesions and the prediction of clinical outcomes. Liquid biopsy analyses, including cell-free tumor DNA (ctDNA), exhibit great potential for personalized treatment. This study aimed to investigate the correlations between the UE and ctDNA for early breast cancer diagnosis. Methods Breast tumor stiffness in 10 patients were assessed by shear wave elastography (SWE), and the ctDNA of eight collected plasma specimens with different tumor stiffness were analyzed by whole-genome sequencing (WGS). Subsequently, the distribution of carcinoma-associated fibroblasts (CAFs) was investigated by detecting the expression levels of alpha-smooth muscle actin (α-SMA) in tissues of breast lesions. We validated the function of discoidin domain receptor 2 (DDR2) in breast tumor CAFs by knockout of fibroblast activation protein (FAP) with different tumor stiffness during cancer progression in vitro and vivo. Results The UE estimates of tumor stiffness positively correlated with CAF-rich (α-SMA+) tumors (P<0.05). Copy number profiles and percent genome alterations were remarkably different between benign and malignant breast lesions. Somatic genomic alterations or structural variants of DDR2, ANTXRL, TPSG1, and TPSB2 genes were identified in ctDNA of plasma from breast lesions with high SWE values and an increase in the CAF content obtained from clinical samples. Deletion of FAP in breast tumor CAFs by CRISPR/Cas9-mediated gene knockout and decreased tumor stiffness resulted in downregulated expression of DDR2 (P<0.05), which in turn led to decreasing the tumor stiffness and carcinogenesis process in vitro and in vivo. Conclusions These results have established proof of principle that WGS analysis of ctDNA could complement current UE approaches to assess tumor stiffness changes for the early diagnosis and prognostic assessment of breast cancer.
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Affiliation(s)
- Yi Hao
- Department of Ultrasound, South China Hospital of Shenzhen University, Shenzhen, China
| | - Wei Yang
- Department of Ultrasound, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Wenyi Zheng
- Department of Ultrasound, Shenzhen Hospital, Southern Medical University, Shenzhen, China.,The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xiaona Chen
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Shenzhen Key Laboratory of Viral Oncology, Center for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Hui Wang
- Department of Ultrasound, South China Hospital of Shenzhen University, Shenzhen, China.,Department of Ultrasound, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Liang Zhao
- Department of Ultrasound, South China Hospital of Shenzhen University, Shenzhen, China.,Department of Ultrasound, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Jinfeng Xu
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, Shenzhen, China.,The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Xia Guo
- Shenzhen Key Laboratory of Viral Oncology, Center for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen, China
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Shi P, Wang Y, Liang H, Hou Y, Chen D, Zhao G, Dai P, Xia Y, Feng Y, Cram DS, Kong X. The potential of expanded noninvasive prenatal screening for detection of microdeletion and microduplication syndromes. Prenat Diagn 2021; 41:1332-1342. [PMID: 34181751 DOI: 10.1002/pd.6002] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 06/11/2021] [Accepted: 06/14/2021] [Indexed: 11/10/2022]
Abstract
OBJECTIVES To evaluate the clinical potential of a higher resolution noninvasive prenatal screening (NIPS-Plus) test for detection of microdeletion/microduplication syndromes (MMS) in addition to common aneuploidies. METHODS In a multicenter prospective study, 37,002 pregnant women with unremarkable first-trimester ultrasound scans had a NIPS-Plus test. Ultrasound screen positive women were not included in this study. RESULTS Of 36,970 ultrasound negative women there were 291 NIPS-Plus screen positive results indicating 237 aneuploidies and 54 MMS. Following amniocentesis, 171 (72%) were confirmed as genuine, comprising 3 T13s, 10 T18s, 61 T21s, 70 SCAs and 27 MMS. The PPV for MMS with unremarkable ultrasound findings was 50%. Routine clinical examination of children born from NIPS-Plus negative pregnancies revealed no obvious signs of chromosome disease syndromes at one year of age. CONCLUSIONS NIPS-Plus has the potential for clinical utility not only for routine aneuploid screening but also for MMS that do not show overt signs during early pregnancy ultrasound screening. We suggest that ultrasound with NIPS-Plus in combination with appropriate counselling could be considered as a comprehensive first-tier prenatal screening approach for all pregnant women.
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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
| | - Yuan Wang
- Berry Genomics Corporation, Beijing, China
| | | | - Yaqin Hou
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Duo Chen
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ganye Zhao
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Peng Dai
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanjie Xia
- Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yin Feng
- 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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Zhai Y, Zhang Z, Shi P, Martin DM, Kong X. Incorporation of exome-based CNV analysis makes trio-WES a more powerful tool for clinical diagnosis in neurodevelopmental disorders: A retrospective study. Hum Mutat 2021; 42:990-1004. [PMID: 34015165 DOI: 10.1002/humu.24222] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 05/17/2021] [Accepted: 05/18/2021] [Indexed: 11/05/2022]
Abstract
Neurodevelopmental disorders (NDDs) are a genetically heterogeneous group of diseases, affecting 1%-3% of children. Whole-exome sequencing (WES) has been widely used as a first-tier tool for identifying genetic causes of rare diseases. Trio-WES was performed in a cohort of 74 pedigrees with NDDs. Exome-based copy number variant (CNV) calling was incorporated into the traditional single-nucleotide variant (SNV) and small insertion/deletion (Indel) analysis pipeline for WES data. An overall positive diagnostic yield of 54.05% (40/74) was obtained in the pipeline of combinational SNV/Indel and CNV analysis, including 35.13% (26/74) from SNV/Indel analysis and 18.92% (14/74) from exome-based CNV analysis, respectively. In total, SNV/Indel analysis identified 38 variants in 28 different genes, of which 24 variants were novel; exome-based CNV analysis identified 14 CNVs, including 2 duplications and 12 deletions, which ranged from 440 bp (single exon) to 16.86 Mb (large fragment) in size. In particular, a hemizygous deletion of exon 1 in the SLC16A2 gene was detected. Based on the diagnostic results, two families underwent prenatal diagnosis and had unaffected babies. The incorporation of exome-based CNV detection into conventional SNV/Indel analysis for a single trio-WES test significantly improved the diagnostic rate, making WES a more powerful, practical, and cost-effective tool in the clinical diagnosis of NDDs.
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Affiliation(s)
- Yiwen Zhai
- Center of Genetic and Prenatal Diagnosis, Department of Gynecology and Obstetrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.,Departments of Pediatrics and Human Genetics, The University of Michigan, Ann Arbor, Michigan, USA
| | - Zhanhui Zhang
- Department of Bioinformatics, Berry Genomics Corporation, Beijing, China
| | - Panlai Shi
- Center of Genetic and Prenatal Diagnosis, Department of Gynecology and Obstetrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Donna M Martin
- Departments of Pediatrics and Human Genetics, The University of Michigan, Ann Arbor, Michigan, USA
| | - Xiangdong Kong
- Center of Genetic and Prenatal Diagnosis, Department of Gynecology and Obstetrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Chen S, Zhang L, Gao J, Li S, Chang C, Chen Y, Fei H, Zhang J, Wang Y, Huang H, Xu C, Lu D. Expanding the Scope of Non-invasive Prenatal Testing to Detect Fetal Chromosomal Copy Number Variations. Front Mol Biosci 2021; 8:649169. [PMID: 34055879 PMCID: PMC8149898 DOI: 10.3389/fmolb.2021.649169] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 04/16/2021] [Indexed: 11/30/2022] Open
Abstract
Non-invasive prenatal testing (NIPT) for common fetal trisomies is effective. However, the usefulness of cell-free DNA testing to detect other chromosomal abnormalities is poorly understood. We analyzed the positive rate at different read depths in next-generation sequencing (NGS) and identified a strategy for fetal copy number variant (CNV) detection in NIPT. Pregnant women who underwent NIPT by NGS at read depths of 4–6 M and fetuses with suspected CNVs were analyzed by amniocentesis and chromosomal microarray analysis (CMA). These fetus samples were re-sequenced at a read depth of 25 M and the positive detection rate was determined. With the increase in read depth, the positive CNV detection rate increased. The positive CNV detection rates at 25 M with small fragments were higher by NGS than by karyotype analysis. Increasing read depth in NGS improves the positive CNV detection rate while lowering the false positive detection rate. NIPT by NGS may be an accurate method of fetal chromosome analysis and reduce the rate of birth defects.
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Affiliation(s)
- Songchang Chen
- State Key Laboratory of Genetic Engineering, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, China.,Genetics Center of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.,The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Lanlan Zhang
- State Key Laboratory of Genetic Engineering, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, China.,The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China.,Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jiong Gao
- Shanghai Medical Laboratory, BGI-Shanghai, BGI-Shenzhen, Shanghai, China
| | - Shuyuan Li
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Chunxin Chang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Yiyao Chen
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Hongjun Fei
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Junyu Zhang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Yanlin Wang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Hefeng Huang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Chenming Xu
- Genetics Center of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.,The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China
| | - Daru Lu
- State Key Laboratory of Genetic Engineering, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, China.,Key Laboratory of Birth Defects and Reproductive Health of National Health Commission, Chongqing Population and Family Planning, Science and Technology Research Institute, Chongqing, China
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Luo S, Chen X, Yan T, Ya J, Xu Z, Cai P, Yuan D, Tang N. Application of Copy Number Variation Sequencing in Genetic Analysis of Miscarriages in Early and Middle Pregnancy. Cytogenet Genome Res 2021; 160:634-642. [PMID: 33756471 DOI: 10.1159/000512801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 11/04/2020] [Indexed: 11/19/2022] Open
Abstract
High-throughput sequencing based on copy number variation (CNV-seq) is commonly used to detect chromosomal abnormalities. This study identifies chromosomal abnormalities in aborted embryos/fetuses in early and middle pregnancy and explores the application value of CNV-seq in determining the causes of pregnancy termination. High-throughput sequencing was used to detect chromosome copy number variations (CNVs) in 116 aborted embryos in early and middle pregnancy. The detection data were compared with the Database of Genomic Variants (DGV), the Database of Chromosomal Imbalance and Phenotype in Humans using Ensemble Resources (DECIPHER), and the Online Mendelian Inheritance in Man (OMIM) database to determine the CNV type and the clinical significance. High-throughput sequencing results were successfully obtained in 109 out of 116 specimens, with a detection success rate of 93.97%. In brief, there were 64 cases with abnormal chromosome numbers and 23 cases with CNVs, in which 10 were pathogenic mutations and 13 were variants of uncertain significance. An abnormal chromosome number is the most important reason for embryo termination in early and middle pregnancy, followed by pathogenic chromosome CNVs. CNV-seq can quickly and accurately detect chromosome abnormalities and identify microdeletion and microduplication CNVs that cannot be detected by conventional chromosome analysis, which is convenient and efficient for genetic etiology diagnosis in miscarriage.
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Affiliation(s)
- Shiqiang Luo
- Department of Medical Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China.,Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Xingyuan Chen
- Department of Laboratory Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Tizhen Yan
- Department of Medical Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China.,Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Jiaolian Ya
- Department of Medical Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China.,Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Zehui Xu
- Department of Medical Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China.,Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Pengfei Cai
- Department of Medical Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China.,Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Dejian Yuan
- Department of Medical Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China.,Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Ning Tang
- Department of Medical Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China, .,Liuzhou Institute of Reproduction and Genetics, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China,
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Lan L, She L, Zhang B, He Y, Zheng Z. Prenatal diagnosis of 913 fetuses samples using copy number variation sequencing. J Gene Med 2021; 23:e3324. [PMID: 33615614 PMCID: PMC8243933 DOI: 10.1002/jgm.3324] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/22/2021] [Accepted: 02/14/2021] [Indexed: 12/30/2022] Open
Abstract
Background The present study aimed to explore the etiological relationship between fetal abnormalities and copy number variations (CNVs) with the aim of intervening and preventing the birth of children with birth defects in time. Methods Samples of 913 fetuses with puncture indications were collected from January 2017 to December 2019. Karyotype analysis and CNV sequencing (CNV‐seq) testing was performed for fetuses with ultrasonic abnormalities, a high risk of Down’s syndrome and an adverse birth history. All cases were followed up. Results In total, 123 cases (13.47%) had abnormal karyotypes, including 109 cases with chromosome number abnormalities and 14 cases of chromosomal structural abnormalities. Thirty‐seven (4.05%) cases with pathogenic CNVs were detected. The detection rate of pathogenicity CNVs was 12.82% for mixed indications, followed by 7.5% for an adverse birth history, 5.88% at high risk of non‐invasive prenatal testing, 5.00% with an abnormal ultrasonic marker, 1.89% at high risk of screening for Down's syndrome and 1.45% with advanced maternal age. There were 12 (1.31%) cases with microduplications and 25 (2.74%) cases with microdeletions. Trisomy 21 (39.02%), trisomy 18 (13.82%) and Turner syndrome (9.76%) were the top three chromosome abnormalities. There were 104, 746 and 63 cases in the 11–13 weeks, 14–27 weeks 28–38 weeks gestational ages, respectively. The abnormal rates of fetal chromosome aneuploidy and the rate of pathogenic CNVs were decreased and increased with the increase of gestational age (p < 0.05), respectively. Conclusions Compared with karyotype analysis, CNV‐seq can improve the detection rate of chromosomal abnormalities. CNV‐seq combined karyotype analysis should be performed simultaneously in fetuses with puncture indications.
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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
| | - Lingna She
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Ultrasonic Department, 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
| | - Bosen Zhang
- Prenatal Diagnosis Center, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.,Ultrasonic Department, 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
| | - 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
| | - 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
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A Chinese multicenter retrospective study of isolated increased nuchal translucency associated chromosome anomaly and prenatal diagnostic suggestions. Sci Rep 2021; 11:5596. [PMID: 33692422 PMCID: PMC7947009 DOI: 10.1038/s41598-021-85108-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 02/15/2021] [Indexed: 11/28/2022] Open
Abstract
Extensive researches involving fetuses with multiple ultrasound anomalies have been conducted over the years, but only few were focused on the isolated increased nuchal translucency (NT). On top of that, these limited number of researches were all designed as single-arm studies and the control group was missing. In this study, we conducted a multicenter, retrospective study using amniotic fluid samples collected from 1197 pregnant women having fetuses with isolated increased NT (INT group) or normal NT values (NNT group). Copy number variation sequencing (CNV-seq) was performed to determine their chromosome status and pathogenic variations were validated using SNP array. Overall, 59 chromosome aneuploidies, 34 pathogenic CNVs and 23 copy number variants of unknown significance (VOUS CNVs) were discovered. the INT group had a significantly higher proportion of aneuploidy (19.44%) and pathogenic CNV (8.33%) than the control group (3.49% and 2.30% respectively), and 88.89% of the pathogenic CNVs were related to heart defects. Additionally, more male fetuses were presented in the INT group (68.51%), but they did not have a higher risk (Relative Risk = 1.03) of carrying pathogenic chromosome variations than female fetuses. Our results demonstrated that fetuses with isolated increased NT had a distinct pattern of chromosome abnormality and majority of detected pathogenic CNVs could be linked to the congenital heart disease. Furthermore, because a considerable proportion of pathogenic CNVs were detected, we strongly recommend to perform a joint test of karyotyping and CNV analysis in prenatal diagnosis for fetuses with isolated increased NT in order to decrease the incident of missed diagnosis.
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Ma N, Xi H, Chen J, Peng Y, Jia Z, Yang S, Hu J, Pang J, Zhang Y, Hu R, Wang H, Liu J. Integrated CNV-seq, karyotyping and SNP-array analyses for effective prenatal diagnosis of chromosomal mosaicism. BMC Med Genomics 2021; 14:56. [PMID: 33632221 PMCID: PMC7905897 DOI: 10.1186/s12920-021-00899-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 02/09/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Emerging studies suggest that low-coverage massively parallel copy number variation sequencing (CNV-seq) more sensitive than chromosomal microarray analysis (CMA) for detecting low-level mosaicism. However, a retrospective back-to-back comparison evaluating accuracy, efficacy, and incremental yield of CNV-seq compared with CMA is warranted. METHODS A total of 72 mosaicism cases identified by karyotyping or CMA were recruited to the study. There were 67 mosaic samples co-analysed by CMA and CNV-seq, comprising 40 with sex chromosome aneuploidy, 22 with autosomal aneuploidy and 5 with large cryptic genomic rearrangements. RESULTS Of the 67 positive mosaic cases, the levels of mosaicism defined by CNV-seq ranged from 6 to 92% compared to the ratio from 3 to 90% by karyotyping and 20% to 72% by CMA. CNV-seq not only identified all 43 chromosomal aneuploidies or large cryptic genomic rearrangements detected by CMA, but also provided a 34.88% (15/43) increased yield compared with CMA. The improved yield of mosaicism detection by CNV-seq was largely due to the ability to detect low level mosaicism below 20%. CONCLUSION In the context of prenatal diagnosis, CNV-seq identified additional and clinically significant mosaicism with enhanced resolution and increased sensitivity. This study provides strong evidence for applying CNV-seq as an alternative to CMA for detection of aneuploidy and mosaic variants.
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Affiliation(s)
- Na Ma
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Hui Xi
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Jing Chen
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Ying Peng
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Zhengjun Jia
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Shuting Yang
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Jiancheng Hu
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Jialun Pang
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Yanan Zhang
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Rong Hu
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China
| | - Hua Wang
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China.
- National Health Commission Key Laboratory of Birth Defects Research, Prevention and Treatment, Changsha, 410008, Hunan, China.
| | - Jing Liu
- Department of Medical Genetics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China.
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A Rapid PCR-Free Next-Generation Sequencing Method for the Detection of Copy Number Variations in Prenatal Samples. Life (Basel) 2021; 11:life11020098. [PMID: 33525582 PMCID: PMC7911416 DOI: 10.3390/life11020098] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/15/2021] [Accepted: 01/25/2021] [Indexed: 11/17/2022] Open
Abstract
Next-generation sequencing (NGS) is emerging as a new method for the detection of clinically significant copy number variants (CNVs). In this study, we developed and validated rapid CNV-sequencing (rCNV-seq) for clinical application in prenatal diagnosis. Low-pass whole-genome sequencing was performed on PCR libraries prepared from amniocyte genomic DNA. From 10-40 ng of input DNA, PCR-free libraries consistently produced sequencing data with high unique read mapping ratios, low read redundancy, low coefficient of variation for all chromosomes and high genomic coverage. In validation studies, reliable and accurate CNV detection using PCR-free-based rCNV-seq was demonstrated for a range of common trisomies and sex chromosome aneuploidies as well as microdeletion and duplication syndromes. In reproducibility studies, CNV copy number and genomic intervals closely matched those defined by chromosome microarray analysis. Clinical testing of genomic DNA samples from 217 women referred for prenatal diagnosis identified eight samples (3.7%) with known chromosome disorders. We conclude that PCR-free-based rCNV-seq is a sensitive, specific, reproducible and efficient method that can be used in any NGS-based diagnostic laboratory for detection of clinically significant CNVs.
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50
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Sun H, Hao X, Wang X, Zhou X, Zhang Y, Liu X, Han J, Gu X, Sun L, Zhao Y, Yi T, Zhang H, He Y. Genetics and Clinical Features of Noncompaction Cardiomyopathy in the Fetal Population. Front Cardiovasc Med 2021; 7:617561. [PMID: 33553264 PMCID: PMC7854697 DOI: 10.3389/fcvm.2020.617561] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 12/16/2020] [Indexed: 12/16/2022] Open
Abstract
Objectives: Noncompaction Cardiomyopathy (NCCM) has been classified as primary genetic cardiomyopathy and has gained increasing clinical awareness; however, little is known about NCCM in the fetal population. We aimed to investigate the clinical characteristics and genetic spectrum of a fetal population with NCCM. Methods: We retrospectively reviewed all fetuses with a prenatal diagnosis of NCCM at a single center between October 2010 and December 2019. These cases were investigated for gestational age at diagnosis, gender, left or biventricular involvement, associated cardiac phenotypes, outcomes, and genetic testing data. Results: We identified 37 fetuses with NCCM out of 49,898 fetuses, indicating that the incidence of NCCM in the fetal population was 0.07%. Of the 37 fetuses, 26 were male, ten were female and one was of unknown gender. NCCM involvement biventricle is the most common (n = 16, 43%), followed by confined to the left ventricle (n = 14, 38%). Nineteen (51%) had additional congenital heart defects, with right-sided lesions being the most common (n = 14, 74%), followed by ventricular septal defects (n = 10, 53%). Hydrops fetalis was present in 12 cases (32%), of which four were atypical (pericardial effusion only). Sequencing analysis was performed at autopsy (n = 19) or postnatally (n = 1) on 20 fetuses. Of the 20 fetuses undergoing copy number variation sequencing and whole-exome sequencing, nine (47%) had positive genetic results, including one with a pathogenic copy number variant and eight with pathogenic/likely pathogenic variants. Non-sarcomere gene mutations accounted for the vast majority (n = 7). In contrast, sarcomere gene mutations occurred in only one case (TPM1), and no mutations were identified in the three most common sarcomere genes (MYH7, TTN, and MYBPC3) of pediatric and adult patients. Pathogenic/likely pathogenic variants were significantly more frequent in fetuses with congenital heart defects than those without congenital heart defects. Conclusions: Our data demonstrate that fetal NCCM is a unique entity. Compared with pediatric and adult NCCM, fetal NCCM is more prone to biventricle involvement, more likely to be complicated with congenital heart defects, and has a distinct genetic spectrum.
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Affiliation(s)
- Hairui Sun
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
| | - Xiaoyan Hao
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xin Wang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiaoxue Zhou
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Ye Zhang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiaowei Liu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jiancheng Han
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiaoyan Gu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Lin Sun
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Ying Zhao
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Tong Yi
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hongjia Zhang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
| | - Yihua He
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
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