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Huang H, Cai M, Liu L, Xu L, Lin N. Effectiveness of Chromosomal Microarray Analysis for Prenatal Diagnosis of Fetal Echogenic Intracardiac Focus: A Single-Center Experience. Int J Gen Med 2021; 14:1991-1997. [PMID: 34045891 PMCID: PMC8149271 DOI: 10.2147/ijgm.s311800] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 05/05/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Echogenic intracardiac focus (EIF) is a common ultrasound finding during pregnancy. However, the correlation between fetal EIF and cardiac abnormality remains in dispute until now. The study aimed to examine the association of fetal EIF with chromosomal abnormality by means of chromosomal microarray analysis (CMA). MATERIALS AND METHODS A total of 192 pregnant women with fetal EIF undergoing amniocentesis or umbilical cord blood puncture were recruited and assigned into groups A (8 cases with isolated EIF alone), B (75 cases with EIF and other cardiac malformations) and C (109 cases with EIF and extracardiac malformations). All fetuses underwent karyotyping analysis and CMA simultaneously. The detection of chromosomal abnormality and copy number variations (CNVs) were compared. RESULTS Chromosomal karyotyping identified 5 fetuses with chromosomal abnormality, including 3 cases with trisomy 21, one fetus with Turner's syndrome, and one fetus with chromosome 8 mosaicism, while CMA detected 6 additional fetuses with CNVs, including 2 fetuses with pathogenic CNVs and 4 fetuses with variants of uncertain significance (VOUS). There was no significant difference among groups A (0), B (5.33%) and C (6.42%) in terms of the prevalence of chromosomal abnormality (P> 0.05). Among the 4 fetuses with VOUS, pregnancy continued in 2 fetuses, and pregnancy was terminated in other 2 fetuses. CONCLUSION An isolated EIF may not correlate with chromosomal abnormality. However, CMA is recommended in fetuses with CMA complicated by other abnormal cardiac ultrasound findings, which facilitates the prediction of fetal outcomes during the genetic counseling and precision assessment of prognosis.
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Affiliation(s)
- Hailong Huang
- Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou City, Fujian Province, 350001, People’s Republic of China
| | - Meiying Cai
- Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou City, Fujian Province, 350001, People’s Republic of China
| | - Linyu Liu
- Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou City, Fujian Province, 350001, People’s Republic of China
- School of Clinical Medicine, Fujian Medical University, Fuzhou City, Fujian Province, 350122, People’s Republic of China
| | - Liangpu Xu
- Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou City, Fujian Province, 350001, People’s Republic of China
| | - Na Lin
- Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou City, Fujian Province, 350001, People’s Republic of China
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Zhang S, Zhang X, Purmann C, Ma S, Shrestha A, Davis KN, Ho M, Huang Y, Pattni R, Hung Wong W, Bernstein JA, Hallmayer J, Urban AE. Network Effects of the 15q13.3 Microdeletion on the Transcriptome and Epigenome in Human-Induced Neurons. Biol Psychiatry 2021; 89:497-509. [PMID: 32919612 PMCID: PMC9359316 DOI: 10.1016/j.biopsych.2020.06.021] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The 15q13.3 microdeletion is associated with several neuropsychiatric disorders, including autism and schizophrenia. Previous association and functional studies have investigated the potential role of several genes within the deletion in neuronal dysfunction, but the molecular effects of the deletion as a whole remain largely unknown. METHODS Induced pluripotent stem cells, from 3 patients with the 15q13.3 microdeletion and 3 control subjects, were generated and converted into induced neurons. We analyzed the effects of the 15q13.3 microdeletion on genome-wide gene expression, DNA methylation, chromatin accessibility, and sensitivity to cisplatin-induced DNA damage. Furthermore, we measured gene expression changes in induced neurons with CRISPR (clustered regularly interspaced short palindromic repeats) knockouts of individual 15q13.3 microdeletion genes. RESULTS In both induced pluripotent stem cells and induced neurons, gene copy number change within the 15q13.3 microdeletion was accompanied by significantly decreased gene expression and no compensatory changes in DNA methylation or chromatin accessibility, supporting the model that haploinsufficiency of genes within the deleted region drives the disorder. Furthermore, we observed global effects of the microdeletion on the transcriptome and epigenome, with disruptions in several neuropsychiatric disorder-associated pathways and gene families, including Wnt signaling, ribosome function, DNA binding, and clustered protocadherins. Individual gene knockouts mirrored many of the observed changes in an overlapping fashion between knockouts. CONCLUSIONS Our multiomics analysis of the 15q13.3 microdeletion revealed downstream effects in pathways previously associated with neuropsychiatric disorders and indications of interactions between genes within the deletion. This molecular systems analysis can be applied to other chromosomal aberrations to further our etiological understanding of neuropsychiatric disorders.
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Affiliation(s)
- Siming Zhang
- Department of Genetics, School of Humanities and Science, Stanford University, Stanford, California
| | - Xianglong Zhang
- Department of Psychiatry and Behavioral Sciences, School of Humanities and Science, Stanford University, Stanford, California
| | - Carolin Purmann
- Department of Psychiatry and Behavioral Sciences, School of Humanities and Science, Stanford University, Stanford, California
| | - Shining Ma
- Department of Pediatrics, School of Humanities and Sciences, Stanford University, Stanford, California
| | - Anima Shrestha
- School of Medicine, Stanford University, and Department of Statistics, School of Humanities and Sciences, Stanford University, Stanford, California
| | - Kasey N Davis
- Department of Psychiatry and Behavioral Sciences, School of Humanities and Science, Stanford University, Stanford, California
| | - Marcus Ho
- Department of Psychiatry and Behavioral Sciences, School of Humanities and Science, Stanford University, Stanford, California
| | - Yiling Huang
- Department of Psychiatry and Behavioral Sciences, School of Humanities and Science, Stanford University, Stanford, California
| | - Reenal Pattni
- Department of Psychiatry and Behavioral Sciences, School of Humanities and Science, Stanford University, Stanford, California
| | - Wing Hung Wong
- Department of Pediatrics, School of Humanities and Sciences, Stanford University, Stanford, California
| | - Jonathan A Bernstein
- Department of Human Biology, School of Humanities and Science, Stanford University, Stanford, California
| | - Joachim Hallmayer
- Department of Psychiatry and Behavioral Sciences, School of Humanities and Science, Stanford University, Stanford, California
| | - Alexander E Urban
- Department of Genetics, School of Humanities and Science, Stanford University, Stanford, California; Department of Psychiatry and Behavioral Sciences, School of Humanities and Science, Stanford University, Stanford, California.
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Huang H, Cai M, Wang Y, Liang B, Lin N, Xu L. SNP Array as a Tool for Prenatal Diagnosis of Congenital Heart Disease Screened by Echocardiography: Implications for Precision Assessment of Fetal Prognosis. Risk Manag Healthc Policy 2021; 14:345-355. [PMID: 33542665 PMCID: PMC7851374 DOI: 10.2147/rmhp.s286001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/30/2020] [Indexed: 12/21/2022] Open
Abstract
Objective This study aimed to examine the effectiveness of the SNP array for the prenatal diagnosis of congenital heart disease (CHD) screened by echocardiography. Patients and Methods A total of 356 pregnant women with fetal congenital heart malformations revealed by echocardiography at the Center for Prenatal Diagnosis of Fujian Maternal and Children Hospital during the period from November 2016 through July 2019 were recruited. The fetuses were assigned into three cohorts, including 142 with a single cardiac malformation, 106 with multiple cardiac malformations and 108 with cardiac and extracardiac malformations. All fetuses underwent chromosomal karyotyping and SNP array simultaneously, and the effectiveness of the SNP array for the prenatal diagnosis of CHD was evaluated. Results The overall prevalence of abnormal karyotypes was 9.3% among the 356 fetuses with CHD, and a higher proportion was found in fetuses with cardiac and extracardiac malformations (18.5%) than in those with single (5.6%) or multiple cardiac malformations (4.7%) (P<0.05). Consistent with karyotype analysis, SNP array detected an additional 25 fetuses with pathogenic copy number variations (CNVs), seven with variant of unknown significance (VOUS) and seven with benign CNVs, and a lower proportion of abnormal CNV was found in fetuses with a single cardiac malformation (4.2%) than in those with multiple cardiac malformations (9.4%) or cardiac and extracardiac malformations (14.8%) (P<0.05). Among the 33 fetuses with chromosomal abnormality, postnatal follow-up showed termination of pregnancy in 25 with pathogenic CNVs, one with VOUS, and six with normal karyotypes and SNP array findings but severe multiple malformations by ultrasonography. Conclusion SNP array increases the overall detection of abnormal CNVs by 9%, which improves the detection of CNVs associated with CHD. SNP array may serve as a tool for prenatal diagnosis of CHD that facilitates the discovery of pathogenic genes associated with CHD and provide valuable insights into the precision assessment of fetal prognosis during the prenatal counseling.
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Affiliation(s)
- Hailong Huang
- Center for Prenatal Diagnosis, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian Province, People's Republic of China.,Fujian Key Laboratory for Prenatal Diagnosis and Birth Defects, Fuzhou 350001, Fujian Province, People's Republic of China
| | - Meiying Cai
- Center for Prenatal Diagnosis, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian Province, People's Republic of China.,Fujian Key Laboratory for Prenatal Diagnosis and Birth Defects, Fuzhou 350001, Fujian Province, People's Republic of China
| | - Yan Wang
- Center for Prenatal Diagnosis, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian Province, People's Republic of China.,Fujian Key Laboratory for Prenatal Diagnosis and Birth Defects, Fuzhou 350001, Fujian Province, People's Republic of China
| | - Bin Liang
- Center for Prenatal Diagnosis, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian Province, People's Republic of China.,Fujian Key Laboratory for Prenatal Diagnosis and Birth Defects, Fuzhou 350001, Fujian Province, People's Republic of China
| | - Na Lin
- Center for Prenatal Diagnosis, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian Province, People's Republic of China.,Fujian Key Laboratory for Prenatal Diagnosis and Birth Defects, Fuzhou 350001, Fujian Province, People's Republic of China
| | - Liangpu Xu
- Center for Prenatal Diagnosis, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian Province, People's Republic of China.,Fujian Key Laboratory for Prenatal Diagnosis and Birth Defects, Fuzhou 350001, Fujian Province, People's Republic of China
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