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Ye F, Xu X, Wang Y, Chen L, Shan Q, Wang Q, Jin F. The yield of SNP microarray analysis for fetal ultrasound cardiac abnormalities. BMC Pregnancy Childbirth 2024; 24:244. [PMID: 38580914 PMCID: PMC10998306 DOI: 10.1186/s12884-024-06428-9] [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: 09/04/2023] [Accepted: 03/15/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Chromosomal microarray analysis (CMA) has emerged as a critical instrument in prenatal diagnostic procedures, notably in assessing congenital heart diseases (CHD). Nonetheless, current research focuses solely on CHD, overlooking the necessity for thorough comparative investigations encompassing fetuses with varied structural abnormalities or those without apparent structural anomalies. OBJECTIVE This study sought to assess the relation of single nucleotide polymorphism-based chromosomal microarray analysis (SNP-based CMA) in identifying the underlying causes of fetal cardiac ultrasound abnormalities. METHODS A total of 2092 pregnant women who underwent prenatal diagnosis from 2017 to 2022 were included in the study and divided into four groups based on the presence of ultrasound structural abnormalities and the specific type of abnormality. The results of the SNP-Array test conducted on amniotic fluid samples from these groups were analyzed. RESULTS Findings from the study revealed that the non-isolated CHD group exhibited the highest incidence of aneuploidy, overall chromosomal abnormalities, and trisomy 18, demonstrating statistically significant differences from the other groups (p < 0.001). Regarding the distribution frequency of copy number variation (CNV) segment size, no statistically significant distinctions were observed between the isolated CHD group and the non-isolated CHD group (p > 0.05). The occurrence rates of 22q11.2 and 15q11.2 were also not statistically different between the isolated CHD group and the non-isolated congenital heart defect group (p > 0.05). CONCLUSION SNP-based CMA enhances the capacity to detect abnormal CNVs in CHD fetuses, offering valuable insights for diagnosing chromosomal etiology and facilitating genetic counseling. This research contributes to the broader understanding of the utility of SNP-based CMA in the context of fetal cardiac ultrasound abnormalities.
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Affiliation(s)
- Fenglei Ye
- Department of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310000, China
- Department of Obstetrics, Lishui Maternal and Child Health Hospital, Lishui, 323000, China
| | - Xiayuan Xu
- Department of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310000, China
- Department of Laboratory, Jinhua Maternal and Child Health Hospital, Jinhua, 321000, China
| | - Yi Wang
- Department of Obstetrics, Lishui Maternal and Child Health Hospital, Lishui, 323000, China
| | - Lifang Chen
- Department of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310000, China
- Department of Obstetrics, Lishui Maternal and Child Health Hospital, Lishui, 323000, China
| | - Qunda Shan
- Department of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310000, China
- Department of Prenatal Diagnosis Center, Lishui Maternal and Child Health Hospital, Lishui, 323000, China
| | - Qijing Wang
- Department of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310000, China.
- Department of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
| | - Fan Jin
- Department of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, 310000, China.
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Zhang Z, Zhang X, Xue H, Chu L, Hu L, Bi X, Zhu P, Zhang D, Chen J, Cui X, Kong L, Liang B, Wu X. Preimplantation genetic testing as a means of preventing hereditary congenital myasthenic syndrome caused by RAPSN. Mol Genet Genomic Med 2024; 12:e2409. [PMID: 38511267 PMCID: PMC10955331 DOI: 10.1002/mgg3.2409] [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: 09/21/2023] [Revised: 01/30/2024] [Accepted: 02/13/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Congenital myasthenic syndrome is a heterogeneous group of inherited neuromuscular transmission disorders. Variants in RAPSN are a common cause of CMS, accounting for approximately 14%-27% of all CMS cases. Whether preimplantation genetic testing for monogenic disease (PGT-M) could be used to prevent the potential birth of CMS-affected children is unclear. METHODS Application of WES (whole-exome sequencing) for carrier testing and guidance for the PGT-M in the absence of a genetically characterized index patient as well as assisted reproductive technology were employed to prevent the occurrence of birth defects in subsequent pregnancy. The clinical phenotypes of stillborn fetuses were also assessed. RESULTS The family carried two likely pathogenic variants in RAPSN(NM_005055.5): c.133G>A (p.V45M) and c.280G>A (p.E94K). And the potential birth of CMS-affected child was successfully prevented, allowing the family to have offspring devoid of disease-associated variants and exhibiting a normal phenotype. CONCLUSION This report constitutes the first documented case of achieving a CMS-free offspring through PGT-M in a CMS-affected family. By broadening the known variant spectrum of RAPSN in the Chinese population, our findings underscore the feasibility and effectiveness of PGT-M for preventing CMS, offering valuable insights for similarly affected families.
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Affiliation(s)
- Zhiping Zhang
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
| | - Xueluo Zhang
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
| | - Huiqin Xue
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
| | - Liming Chu
- Basecare Medical Device Co., LtdSuzhouChina
| | - Lina Hu
- Basecare Medical Device Co., LtdSuzhouChina
| | - Xingyu Bi
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
| | - Pengfei Zhu
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
| | - Dongdong Zhang
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
| | - Jiayao Chen
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
| | - Xiangrong Cui
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
| | | | - Bo Liang
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Xueqing Wu
- Center of Reproductive MedicineAffiliated Children's Hospital of Shanxi & Women Health Center of Shanxi Medicine UniversityTaiyuanShanxiChina
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Narayan P, Richter F, Morton S. Genetics and etiology of congenital heart disease. Curr Top Dev Biol 2024; 156:297-331. [PMID: 38556426 DOI: 10.1016/bs.ctdb.2024.01.009] [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] [Indexed: 04/02/2024]
Abstract
Congenital heart disease (CHD) is the most common severe birth anomaly, affecting almost 1% of infants. Most CHD is genetic, but only 40% of patients have an identifiable genetic risk factor for CHD. Chromosomal variation contributes significantly to CHD but is not readily amenable to biological follow-up due to the number of affected genes and lack of evolutionary synteny. The first CHD genes were implicated in extended families with syndromic CHD based on the segregation of risk alleles in affected family members. These have been complemented by more CHD gene discoveries in large-scale cohort studies. However, fewer than half of the 440 estimated human CHD risk genes have been identified, and the molecular mechanisms underlying CHD genetics remains incompletely understood. Therefore, model organisms and cell-based models are essential tools for improving our understanding of cardiac development and CHD genetic risk. Recent advances in genome editing, cell-specific genetic manipulation of model organisms, and differentiation of human induced pluripotent stem cells have recently enabled the characterization of developmental stages. In this chapter, we will summarize the latest studies in CHD genetics and the strengths of various study methodologies. We identify opportunities for future work that will continue to further CHD knowledge and ultimately enable better diagnosis, prognosis, treatment, and prevention of CHD.
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Affiliation(s)
| | - Felix Richter
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sarah Morton
- Boston Children's Hospital and Harvard Medical School, Boston, MA, United States.
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Bolunduț AC, Nazarie F, Lazea C, Șufană C, Miclea D, Lazăr C, Mihu CM. A Pilot Study of Multiplex Ligation-Dependent Probe Amplification Evaluation of Copy Number Variations in Romanian Children with Congenital Heart Defects. Genes (Basel) 2024; 15:207. [PMID: 38397197 PMCID: PMC10887610 DOI: 10.3390/genes15020207] [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: 01/07/2024] [Revised: 01/31/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024] Open
Abstract
Congenital heart defects (CHDs) have had an increasing prevalence over the last decades, being one of the most common congenital defects. Their etiopathogenesis is multifactorial in origin. About 10-15% of all CHD can be attributed to copy number variations (CNVs), a type of submicroscopic structural genetic alterations. The aim of this study was to evaluate the involvement of CNVs in the development of congenital heart defects. We performed a cohort study investigating the presence of CNVs in the 22q11.2 region and GATA4, TBX5, NKX2-5, BMP4, and CRELD1 genes in patients with syndromic and isolated CHDs. A total of 56 patients were included in the study, half of them (28 subjects) being classified as syndromic. The most common heart defect in our study population was ventricular septal defect (VSD) at 39.28%. There were no statistically significant differences between the two groups in terms of CHD-type distribution, demographical, and clinical features, with the exceptions of birth length, weight, and length at the time of blood sampling, that were significantly lower in the syndromic group. Through multiplex ligation-dependent probe amplification (MLPA) analysis, we found two heterozygous deletions in the 22q11.2 region, both in patients from the syndromic group. No CNVs involving GATA4, NKX2-5, TBX5, BMP4, and CRELD1 genes were identified in our study. We conclude that the MLPA assay may be used as a first genetic test in patients with syndromic CHD and that the 22q11.2 region may be included in the panels used for screening these patients.
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Affiliation(s)
- Alexandru Cristian Bolunduț
- 1st Department of Pediatrics, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400370 Cluj-Napoca, Romania
| | - Florina Nazarie
- Department of Medical Genetics, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Cecilia Lazea
- 1st Department of Pediatrics, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400370 Cluj-Napoca, Romania
- 1st Pediatrics Clinic, Emergency Pediatric Clinical Hospital, 400370 Cluj-Napoca, Romania
| | - Crina Șufană
- 1st Pediatrics Clinic, Emergency Pediatric Clinical Hospital, 400370 Cluj-Napoca, Romania
| | - Diana Miclea
- 1st Department of Pediatrics, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400370 Cluj-Napoca, Romania
- Medical Genetics Compartment, Emergency Pediatric Clinical Hospital, 400370 Cluj-Napoca, Romania
| | - Călin Lazăr
- 1st Department of Pediatrics, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400370 Cluj-Napoca, Romania
- 1st Pediatrics Clinic, Emergency Pediatric Clinical Hospital, 400370 Cluj-Napoca, Romania
| | - Carmen Mihaela Mihu
- Department of Histology, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
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Bassett AS, Reuter MS, Malecki S, Silversides C, Oechslin E. Clinically Relevant Genetic Considerations for Patients With Tetralogy of Fallot. CJC PEDIATRIC AND CONGENITAL HEART DISEASE 2023; 2:426-439. [PMID: 38161665 PMCID: PMC10755827 DOI: 10.1016/j.cjcpc.2023.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/05/2023] [Indexed: 01/03/2024]
Abstract
Genetic changes affect embryogenesis, cardiac and extracardiac phenotype, development, later onset conditions, and both short- and long-term outcomes and comorbidities in the increasing population of individuals with tetralogy of Fallot (TOF). In this review, we focus on current knowledge about clinically relevant genetics for patients with TOF across the lifespan. The latest findings for TOF genetics that are pertinent to day-to-day practice and lifelong management are highlighted: morbidity/mortality, cardiac/extracardiac features, including neurodevelopmental expression, and recent changes to prenatal screening and diagnostics. Genome-wide microarray is the first-line clinical genetic test for TOF across the lifespan, detecting relevant structural changes including the most common for TOF, the 22q11.2 microdeletion. Accumulating evidence illustrates opportunities for advances in understanding and care that may arise from genetic diagnosis at any age. We also glimpse into the near future when the multigenic nature of TOF will be more fully revealed, further enhancing possibilities for preventive care. Precision medicine is nigh.
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Affiliation(s)
- Anne S. Bassett
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Toronto Adult Congenital Heart Disease Program, Division of Cardiology, Peter Munk Cardiac Centre, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, and Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
| | - Miriam S. Reuter
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sarah Malecki
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Candice Silversides
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Toronto Adult Congenital Heart Disease Program, Division of Cardiology, Peter Munk Cardiac Centre, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Erwin Oechslin
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
- Toronto Adult Congenital Heart Disease Program, Division of Cardiology, Peter Munk Cardiac Centre, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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Ashiq S, Sabar MF, Hyder SN. Genetic Risk Score Constructed from Polymorphisms in the VEGFA, TBX5, and SMAD7 Genes Provides Novel Insights into the Molecular Mechanisms of the Tetralogy of Fallot and Ventricular Septal Defect (Case-Control Study from the Pakistani Population). Am J Cardiol 2023; 203:368-375. [PMID: 37523935 DOI: 10.1016/j.amjcard.2023.06.070] [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: 03/21/2023] [Revised: 05/25/2023] [Accepted: 06/18/2023] [Indexed: 08/02/2023]
Abstract
Congenital heart defects are common and complex birth-defect malformations in developed and developing countries. It is a multifactorial disease that involves the interaction of either gene-gene or gene-environment. This comparative study was the first report on the genotypic-phenotypic correlation in the Pakistani population. The single nucleotide polymorphisms (SNPs) were further tested for association with maternal diabetes mellitus or hypertension. In addition, the cumulative genetic risk score (GRS) for low to moderately-associated SNPs was calculated for each study subject, which can ultimately guide us for better therapeutic options and prevention strategies. According to the predefined selection criteria, 376 subjects were recruited. The multiplex mini-sequencing genotyping technique opted for the cost-effective genotyping of selected loci. The association of variants with the disease was examined using logistic regression analysis. The statistical and graphical analysis was conducted using SPSS, Haploview, SNPStats, and GraphPad Prism. The results for all SNPs analysis suggested a nonsignificant association with overall congenital heart defect risk except rs3809923. However, interestingly on stratified analysis variants, rs3809923 and rs3809922 showed an association only with tetralogy of Fallot. The remaining risk factor analysis for maternal hypertension and diabetes mellitus association with SNPs were nonsignificant. The GRS was the first time constructed for this low to moderately-associated variants. Interestingly, the cumulative GRS was significantly different from the control group revealing the cumulative effect of these polymorphisms panel in patients. In conclusion, the use of GRS in the clinical setting can predict better risk association and patient outcomes.
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Affiliation(s)
- Sana Ashiq
- Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan
| | | | - Syed Najam Hyder
- Department of Pediatric Cardiology, University of Child Health Sciences, The Children's Hospital, Lahore, Pakistan
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7
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Wang H, Lin X, Lyu G, He S, Dong B, Yang Y. Chromosomal abnormalities in fetuses with congenital heart disease: a meta-analysis. Arch Gynecol Obstet 2023; 308:797-811. [PMID: 36609702 DOI: 10.1007/s00404-023-06910-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 01/01/2023] [Indexed: 01/09/2023]
Abstract
PURPOSE The aim of this meta-analysis was to evaluate the risk of chromosomal abnormalities in fetuses with congenital heart disease (CHD). METHODS Four literature databases were searched until 17th January 2022 using the relevant medical subject heading terms, word variants, and keywords for "congenital heart defect, fetal, and chromosomal abnormalities". The prevalence of overall chromosomal abnormality, aneuploidy, 22q11 deletion, other copy number variants (CNVs), and variants of unknown significance (VOUS) was analyzed. RESULTS 45 studies met the inclusion criteria for the analysis. The pooled proportion of overall chromosomal abnormalities, aneuploidy, 22q11 deletion, and other CNVs in fetuses with CHD was 23% (95% CI: 20-26%), 19% (95% CI, 16-22%), 2% (95% CI, 2-3%), and 4% (95% CI, 3-5%), respectively. The incidence of overall chromosomal abnormalities, aneuploidy, and other CNVs in non-isolated CHD was higher than in isolated CHD, with odds ratios of 3.08, 3.45, and 4.02, respectively. The incidence of overall chromosomal abnormalities in septal defects was higher than in conotruncal defects and other defects, with odds ratios of 1.60 and 3.61, respectively. In addition, the pooled proportion of VOUS in CHD was 4%. CONCLUSION CHD is commonly associated with chromosomal abnormalities. If karyotyping or fluorescence in situ hybridization is normal, chromosomal microarray should be performed to look for submicroscopic abnormalities, especially in fetuses with non-isolated CHD and septal defects.
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Affiliation(s)
- Huaming Wang
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Zhongshan Load, Quanzhou, Fujian, China
| | - Xi Lin
- Department of Diagnostic Radiology, Fujian Cancer Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Guorong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Zhongshan Load, Quanzhou, Fujian, China.
- Collaborative Innovation Center of Maternal and Child Health Service Technology, Quanzhou Medical College, Quanzhou, China.
| | - Shaozheng He
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Zhongshan Load, Quanzhou, Fujian, China
| | - Bingtian Dong
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Zhongshan Load, Quanzhou, Fujian, China
| | - Yiru Yang
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Zhongshan Load, Quanzhou, Fujian, China
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8
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DeMoya RA, Forman-Rubinsky RE, Fontaine D, Shin J, Watkins SC, Lo CW, Tsang M. Sin3a associated protein 130 kDa, sap130, plays an evolutionary conserved role in zebrafish heart development. Front Cell Dev Biol 2023; 11:1197109. [PMID: 37711853 PMCID: PMC10498550 DOI: 10.3389/fcell.2023.1197109] [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: 03/30/2023] [Accepted: 08/17/2023] [Indexed: 09/16/2023] Open
Abstract
Hypoplastic left heart syndrome (HLHS) is a congenital heart disease where the left ventricle is reduced in size. A forward genetic screen in mice identified SIN3A associated protein 130 kDa (Sap130), part of the chromatin modifying SIN3A/HDAC complex, as a gene contributing to the etiology of HLHS. Here, we report the role of zebrafish sap130 genes in heart development. Loss of sap130a, one of two Sap130 orthologs, resulted in smaller ventricle size, a phenotype reminiscent to the hypoplastic left ventricle in mice. While cardiac progenitors were normal during somitogenesis, diminution of the ventricle size suggest the Second Heart Field (SHF) was the source of the defect. To explore the role of sap130a in gene regulation, transcriptome profiling was performed after the heart tube formation to identify candidate pathways and genes responsible for the small ventricle phenotype. Genes involved in cardiac differentiation and cardiac function were dysregulated in sap130a, but not in sap130b mutants. Confocal light sheet analysis measured deficits in cardiac output in MZsap130a supporting the notion that cardiomyocyte maturation was disrupted. Lineage tracing experiments revealed a significant reduction of SHF cells in the ventricle that resulted in increased outflow tract size. These data suggest that sap130a is involved in cardiogenesis via regulating the accretion of SHF cells to the growing ventricle and in their subsequent maturation for cardiac function. Further, genetic studies revealed an interaction between hdac1 and sap130a, in the incidence of small ventricles. These studies highlight the conserved role of Sap130a and Hdac1 in zebrafish cardiogenesis.
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Affiliation(s)
- Ricardo A. DeMoya
- Department of Developmental Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Rachel E. Forman-Rubinsky
- Department of Developmental Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Deon Fontaine
- Department of Developmental Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Joseph Shin
- Department of Developmental Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Simon C. Watkins
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Cecilia W. Lo
- Department of Developmental Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Michael Tsang
- Department of Developmental Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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DeMoya RA, Forman-Rubinsky RE, Fontaine D, Shin J, Watkins SC, Lo C, Tsang M. Sin3a Associated Protein 130kDa, sap130, plays an evolutionary conserved role in zebrafish heart development. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.30.534737. [PMID: 37034673 PMCID: PMC10081270 DOI: 10.1101/2023.03.30.534737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Hypoplastic left heart syndrome (HLHS) is a congenital heart disease where the left ventricle is reduced in size. A forward genetic screen in mice identified SIN3A associated protein 130kDa ( Sap130 ), a protein in the chromatin modifying SIN3A/HDAC1 complex, as a gene contributing to the digenic etiology of HLHS. Here, we report the role of zebrafish sap130 genes in heart development. Loss of sap130a, one of two Sap130 orthologs, resulted in smaller ventricle size, a phenotype reminiscent to the hypoplastic left ventricle in mice. While cardiac progenitors were normal during somitogenesis, diminution of the ventricle size suggest the Second Heart Field (SHF) was the source of the defect. To explore the role of sap130a in gene regulation, transcriptome profiling was performed after the heart tube formation to identify candidate pathways and genes responsible for the small ventricle phenotype. Genes involved in cardiac differentiation and cell communication were dysregulated in sap130a , but not in sap130b mutants. Confocal light sheet analysis measured deficits in cardiac output in MZsap130a supporting the notion that cardiomyocyte maturation was disrupted. Lineage tracing experiments revealed a significant reduction of SHF cells in the ventricle that resulted in increased outflow tract size. These data suggest that sap130a is involved in cardiogenesis via regulating the accretion of SHF cells to the growing ventricle and in their subsequent maturation for cardiac function. Further, genetic studies revealed an interaction between hdac1 and sap130a , in the incidence of small ventricles. These studies highlight the conserved role of Sap130a and Hdac1 in zebrafish cardiogenesis.
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Affiliation(s)
- Ricardo A DeMoya
- Department of Developmental Biology, University of Pittsburgh, School of Medicine, Pittsburgh PA 15213, USA
| | - Rachel E Forman-Rubinsky
- Department of Developmental Biology, University of Pittsburgh, School of Medicine, Pittsburgh PA 15213, USA
| | - Deon Fontaine
- Department of Developmental Biology, University of Pittsburgh, School of Medicine, Pittsburgh PA 15213, USA
| | - Joseph Shin
- Department of Developmental Biology, University of Pittsburgh, School of Medicine, Pittsburgh PA 15213, USA
| | - Simon C Watkins
- Department of Cell Biology and Molecular Physiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA
| | - Cecilia Lo
- Department of Developmental Biology, University of Pittsburgh, School of Medicine, Pittsburgh PA 15213, USA
| | - Michael Tsang
- Department of Developmental Biology, University of Pittsburgh, School of Medicine, Pittsburgh PA 15213, USA
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Ehrlich L, Prakash SK. Copy-number variation in congenital heart disease. Curr Opin Genet Dev 2022; 77:101986. [PMID: 36202051 DOI: 10.1016/j.gde.2022.101986] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 01/27/2023]
Abstract
Genomic copy-number variants (CNVs) contribute to as many congenital heart disease (CHD) cases (10-15%) as chromosomal aberrations or single-gene mutations and influence clinical outcomes. CNVs in a few genomic hotspots (1q21.1, 2q13, 8p23.1, 11q24, 15q11.2, 16p11.2, and 22q11.2) are recurrently enriched in CHD cohorts and affect dosage-sensitive transcriptional regulators that are required for cardiac development. Reduced penetrance and pleiotropic effects on brain and heart development are common features of these CNVs. Therefore, additional genetic 'hits,' such as a second CNV or gene mutation, are probably required to cause CHD in most cases. Integrative analysis of CNVs, genome sequence, epigenetic alterations, and gene function will be required to delineate the complete genetic landscape of CHD.
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Affiliation(s)
- Laurent Ehrlich
- Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, USA
| | - Siddharth K Prakash
- Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, USA.
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Kumar AA, Loeys B, Van De Beek G, Peeters N, Wuyts W, Van Laer L, Vandeweyer G, Alaerts M. varAmpliCNV: analyzing variance of amplicons to detect CNVs in targeted NGS data. Bioinformatics 2022; 39:6849518. [PMID: 36440912 PMCID: PMC9805572 DOI: 10.1093/bioinformatics/btac756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 09/30/2022] [Accepted: 11/25/2022] [Indexed: 11/30/2022] Open
Abstract
MOTIVATION Computational identification of copy number variants (CNVs) in sequencing data is a challenging task. Existing CNV-detection methods account for various sources of variation and perform different normalization strategies. However, their applicability and predictions are restricted to specific enrichment protocols. Here, we introduce a novel tool named varAmpliCNV, specifically designed for CNV-detection in amplicon-based targeted resequencing data (Haloplex™ enrichment protocol) in the absence of matched controls. VarAmpliCNV utilizes principal component analysis (PCA) and/or metric dimensional scaling (MDS) to control variances of amplicon associated read counts enabling effective detection of CNV signals. RESULTS Performance of VarAmpliCNV was compared against three existing methods (ConVaDING, ONCOCNV and DECoN) on data of 167 samples run with an aortic aneurysm gene panel (n = 30), including 9 positive control samples. Additionally, we validated the performance on a large deafness gene panel (n = 145) run on 138 samples, containing 4 positive controls. VarAmpliCNV achieved higher sensitivity (100%) and specificity (99.78%) in comparison to competing methods. In addition, unsupervised clustering of CNV segments and visualization plots of amplicons spanning these regions are included as a downstream strategy to filter out false positives. AVAILABILITY AND IMPLEMENTATION The tool is freely available through galaxy toolshed and at: https://hub.docker.com/r/cmgantwerpen/varamplicnv. Supplementary Data File S1: https://tinyurl.com/2yzswyhh; Supplementary Data File S2: https://tinyurl.com/ycyf2fb4. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Ajay Anand Kumar
- Center of Medical Genetics, University of Antwerp/Antwerp University Hospital, Antwerp (Edegem) 2650, Belgium,Biomedical Informatics, Antwerp University Hospital, Antwerp (Wilrijk) 2610, Belgium,Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, United Kingdom,European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, United Kingdom
| | - Bart Loeys
- Center of Medical Genetics, University of Antwerp/Antwerp University Hospital, Antwerp (Edegem) 2650, Belgium
| | - Gerarda Van De Beek
- Center of Medical Genetics, University of Antwerp/Antwerp University Hospital, Antwerp (Edegem) 2650, Belgium
| | - Nils Peeters
- Center of Medical Genetics, University of Antwerp/Antwerp University Hospital, Antwerp (Edegem) 2650, Belgium
| | - Wim Wuyts
- Center of Medical Genetics, University of Antwerp/Antwerp University Hospital, Antwerp (Edegem) 2650, Belgium
| | - Lut Van Laer
- Center of Medical Genetics, University of Antwerp/Antwerp University Hospital, Antwerp (Edegem) 2650, Belgium
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12
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Mastromoro G, Khaleghi Hashemian N, Guadagnolo D, Giuffrida MG, Torres B, Bernardini L, Ventriglia F, Piacentini G, Pizzuti A. Chromosomal Microarray Analysis in Fetuses Detected with Isolated Cardiovascular Malformation: A Multicenter Study, Systematic Review of the Literature and Meta-Analysis. Diagnostics (Basel) 2022; 12:diagnostics12061328. [PMID: 35741137 PMCID: PMC9221891 DOI: 10.3390/diagnostics12061328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/20/2022] [Accepted: 05/26/2022] [Indexed: 12/10/2022] Open
Abstract
Cardiovascular malformations (CVM) represent the most common structural anomalies, occurring in 0.7% of live births. The CVM prenatal suspicion should prompt an accurate investigation with fetal echocardiography and the assessment through genetic counseling and testing. In particular, chromosomal microarray analysis (CMA) allows the identification of copy number variations. We performed a systematic review and meta-analysis of the literature, studying the incremental diagnostic yield of CMA in fetal isolated CVM, scoring yields for each category of heart disease, with the aim of guiding genetic counseling and prenatal management. At the same time, we report 59 fetuses with isolated CVM with normal karyotype who underwent CMA. The incremental CMA diagnostic yield in fetuses with isolated CVM was 5.79% (CI 5.54–6.04), with conotruncal malformations showing the higher detection rate (15.93%). The yields for ventricular septal defects and aberrant right subclavian artery were the lowest (2.64% and 0.66%). Other CVM ranged from 4.42% to 6.67%. In the retrospective cohort, the diagnostic yield was consistent with literature data, with an overall CMA diagnostic yield of 3.38%. CMA in the prenatal setting was confirmed as a valuable tool for investigating the causes of fetal cardiovascular malformations.
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Affiliation(s)
- Gioia Mastromoro
- Department of Experimental Medicine, Policlinico Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (N.K.H.); (D.G.); (A.P.)
- Correspondence:
| | - Nader Khaleghi Hashemian
- Department of Experimental Medicine, Policlinico Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (N.K.H.); (D.G.); (A.P.)
| | - Daniele Guadagnolo
- Department of Experimental Medicine, Policlinico Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (N.K.H.); (D.G.); (A.P.)
| | - Maria Grazia Giuffrida
- Cytogenetics Unit, Casa Sollievo della Sofferenza Foundation, 71013 San Giovanni Rotondo, Italy; (M.G.G.); (B.T.); (L.B.)
| | - Barbara Torres
- Cytogenetics Unit, Casa Sollievo della Sofferenza Foundation, 71013 San Giovanni Rotondo, Italy; (M.G.G.); (B.T.); (L.B.)
| | - Laura Bernardini
- Cytogenetics Unit, Casa Sollievo della Sofferenza Foundation, 71013 San Giovanni Rotondo, Italy; (M.G.G.); (B.T.); (L.B.)
| | - Flavia Ventriglia
- Department of Pediatrics, Policlinico Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy;
- Santa Maria Goretti Hospital, 04100 Latina, Italy
| | - Gerardo Piacentini
- Fetal and Pediatric Cardiology Unit, “San Giovanni Calibita” Fatebenefratelli Isola Tiberina Hospital, 00186 Rome, Italy;
- Neonatology and Neonatal Intensive Care Unit, “San Giovanni Calibita” Fatebenefratelli Isola Tiberina Hospital, 00186 Rome, Italy
| | - Antonio Pizzuti
- Department of Experimental Medicine, Policlinico Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (N.K.H.); (D.G.); (A.P.)
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13
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Wen X, Xing H, Qi K, Wang H, Li X, Zhu J, Chen W, Cui L, Zhang J, Qi H. Analysis of 17 Prenatal Cases with the Chromosomal 1q21.1 Copy Number Variation. DISEASE MARKERS 2022; 2022:5487452. [PMID: 37284664 PMCID: PMC10241571 DOI: 10.1155/2022/5487452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 04/12/2022] [Indexed: 10/10/2023]
Abstract
Copy number variations (CNVs) at the chromosomal 1q21.1 region represent a group of hot-spot recurrent rearrangements in human genome, which have been detected in hundreds of patients with variable clinical manifestations. Yet, report of such CNVs in prenatal scenario was relatively scattered. In this study, 17 prenatal cases involving the 1q21.1 microdeletion or duplication were recruited. The clinical survey and imaging examination were performed; and genetic detection with karyotyping and CNV analysis using chromosomal microarray (CMA) or CNVseq were subsequently carried out. These cases were all positive with 1q21.1 CNV, yet presented with exceedingly various clinical and utrasonographic indications. Among them, 12 pregnancies carried 1q21.1 deletions, while the other 5 carried 1q21.1 duplications, all of which were within the previously defined breaking point (BP) regions. According to the verification results, 9 CNVs were de novo, 7 were familial, and the other 1 was not certain. We summarized the clinical information of these cases, and the size and distribution of CNVs, and attempted to analyze the association between these two aspects. The findings in our study may provide important basis for the prenatal diagnosis and genetic counseling on such conditions in the future.
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Affiliation(s)
- Xiaohui Wen
- Prenatal Diagnosis Center, Haidian Maternal and Child Health Care Hospital, Beijing, China
| | - Huanxia Xing
- Prenatal Diagnosis Center, Langfang Maternal and Child Health Care Hospital, Langfang, Hebei, China
| | - Keyan Qi
- Prenatal Diagnosis Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Hao Wang
- Prenatal Diagnosis Center, Hangzhou Women's Hospital, Hangzhou, Zhejiang, China
- Department of Cell Biology and Medical Genetics, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaojun Li
- Prenatal Diagnosis Center, Haidian Maternal and Child Health Care Hospital, Beijing, China
| | - Jianjiang Zhu
- Prenatal Diagnosis Center, Haidian Maternal and Child Health Care Hospital, Beijing, China
| | - Wenqi Chen
- Prenatal Diagnosis Center, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, Hebei, China
| | - Limin Cui
- Prenatal Diagnosis Center, Langfang Maternal and Child Health Care Hospital, Langfang, Hebei, China
| | - Jing Zhang
- Prenatal Diagnosis Center, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, Hebei, China
| | - Hong Qi
- Prenatal Diagnosis Center, Haidian Maternal and Child Health Care Hospital, Beijing, China
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14
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Whole genome sequencing in transposition of the great arteries and associations with clinically relevant heart, brain and laterality genes. Am Heart J 2022; 244:1-13. [PMID: 34670123 DOI: 10.1016/j.ahj.2021.10.185] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 10/08/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND The most common cyanotic congenital heart disease (CHD) requiring management as a neonate is transposition of great arteries (TGA). Clinically, up to 50% of TGA patients develop some form of neurodevelopmental disability (NDD), thought to have a significant genetic component. A "ciliopathy" and links with laterality disorders have been proposed. This first report of whole genome sequencing in TGA, sought to identify clinically relevant variants contributing to heart, brain and laterality defects. METHODS Initial whole genome sequencing analyses on 100 TGA patients focussed on established disease genes related to CHD (n = 107), NDD (n = 659) and heterotaxy (n = 74). Single variant as well as copy number variant analyses were conducted. Variant pathogenicity was assessed using the American College of Medical Genetics and Genomics-Association for Molecular Pathology guidelines. RESULTS Fifty-five putatively damaging variants were identified in established disease genes associated with CHD, NDD and heterotaxy; however, no clinically relevant variants could be attributed to disease. Notably, case-control analyses identified significantly more predicted-damaging, silent and total variants in TGA cases than healthy controls in established CHD genes (P < .001), NDD genes (P < .001) as well as across the three gene panels (P < .001). CONCLUSION We present compelling evidence that the majority of TGA is not caused by monogenic rare variants and is most likely oligogenic and/or polygenic in nature, highlighting the complex genetic architecture and multifactorial influences on this CHD sub-type and its long-term sequelae. Assessment of variant burden in key heart, brain and/or laterality genes may be required to unravel the genetic contributions to TGA and related disabilities.
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15
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Salzer-Sheelo L, Polak U, Barg A, Kahana S, Yacobson S, Agmon-Fishman I, Klein C, Matar R, Rurman-Shahar N, Sagi-Dain L, Basel-Salmon L, Maya I, Sukenik-Halevy R. Prenatal and postnatal chromosomal microarray analysis in 885 cases of various congenital heart defects. Arch Gynecol Obstet 2022; 306:1007-1013. [PMID: 35083553 DOI: 10.1007/s00404-021-06366-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 12/06/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE This study aimed to evaluate the prevalence of clinically significant (pathogenic and likely pathogenic) variants detected by chromosomal microarray (CMA) tests performed for prenatally and postnatally detected congenital heart defects. METHODS A retrospective evaluation of CMA analyses over a period of four years in a single tertiary medical center was performed. Detection rate of clinically significant variants was calculated in the whole cohort, prenatal vs. postnatal cases, and isolated vs. non-isolated CHD. This rate was compared to previously published control cohorts, and to a theoretical detection rate of noninvasive prenatal testing (NIPS; 5 chromosomes). RESULTS Of the 885 cases of CHD, 111 (12.5%) clinically significant variants were detected, with no significant difference between the 498 prenatal and the 387 postnatal cases (10.8% vs. 14.7%, p = 0.08). In both groups, the detection rate was significantly higher for non-isolated vs. isolated CHD (76/339 = 22.4% vs. 35/546 = 6.4%, respectively, p < 0.05). The detection rate was higher than the background risk in both groups, including cases of postnatal isolated CHD. 44% of abnormal findings in the prenatal setting would be detectable by NIPS. CONCLUSION CMA should be performed for both prenatally and postnatally detected CHD, including postnatal cases of isolated CHD, while NIPS can be considered in specific scenarios.
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Affiliation(s)
- Liat Salzer-Sheelo
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel. .,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Uri Polak
- Pediatric Cardiac Critical Care Unit, Hadassah University Medical Center, Ein Kerem, Jerusalem, Israel.,Pediatric Cardiology, Hadassah University Medical Center, Ein Kerem, Jerusalem, Israel.,The Hebrew University Hadassah Medical School, Jerusalem, Israel
| | | | - Sarit Kahana
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel
| | - Shiri Yacobson
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel
| | - Ifaat Agmon-Fishman
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel
| | - Cochava Klein
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel
| | - Reut Matar
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel
| | - Noa Rurman-Shahar
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel
| | - Lena Sagi-Dain
- Genetics Institute, Carmel Medical Center, Affiliated To the Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Lina Basel-Salmon
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel.,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Rabin Medical Center, Petah Tikva, Israel.,Pediatric Genetics Unit, Schneider Children's Medical Center, Petah Tikva, Israel
| | - Idit Maya
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel.,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Rivka Sukenik-Halevy
- The Raphael Recanati Genetic Institute, Rabin Medical Center, 49100, Petah Tikva, Israel.,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
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16
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Prenatal Diagnosis by Array Comparative Genomic Hybridization in Fetuses with Cardiac Abnormalities. Genes (Basel) 2021; 12:genes12122021. [PMID: 34946970 PMCID: PMC8701951 DOI: 10.3390/genes12122021] [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: 11/08/2021] [Revised: 12/14/2021] [Accepted: 12/15/2021] [Indexed: 11/17/2022] Open
Abstract
Congenital heart defects (CHDs) appear in 8–10 out of 1000 live born newborns and are one of the most common causes of deaths. In fetuses, the congenital heart defects are found even 3–5 times more often. Currently, microarray comparative genomic hybridization (array CGH) is recommended by worldwide scientific organizations as a first-line test in the prenatal diagnosis of fetuses with sonographic abnormalities, especially cardiac defects. We present the results of the application of array CGH in 484 cases with prenatally diagnosed congenital heart diseases by fetal ultrasound scanning (256 isolated CHD and 228 CHD coexisting with other malformations). We identified pathogenic aberrations and likely pathogenic genetic loci for CHD in 165 fetuses and 9 copy number variants (CNVs) of unknown clinical significance. Prenatal array-CGH is a useful method allowing the identification of all unbalanced aberrations (number and structure) with a much higher resolution than the currently applied traditional assessment techniques karyotype. Due to this ability, we identified the etiology of heart defects in 37% of cases.
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17
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Tang CSM, Mononen M, Lam WY, Jin SC, Zhuang X, Garcia-Barcelo MM, Lin Q, Yang Y, Sahara M, Eroglu E, Chien KR, Hong H, Tam PK, Gruber PJ. Sequencing of a Chinese tetralogy of fallot cohort reveals clustering mutations in myogenic heart progenitors. JCI Insight 2021; 7:152198. [PMID: 34905512 PMCID: PMC8855809 DOI: 10.1172/jci.insight.152198] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 12/08/2021] [Indexed: 11/17/2022] Open
Abstract
Tetralogy of Fallot (TOF) is the most common cyanotic heart defect, yet the underlying genetic mechanisms remain poorly understood. Here, we performed whole-genome sequencing analysis on 146 nonsyndromic TOF parent-offspring trios of Chinese ethnicity. Comparison of de novo variants and recessive genotypes of this data set with data from a European cohort identified both overlapping and potentially novel gene loci and revealed differential functional enrichment between cohorts. To assess the impact of these mutations on early cardiac development, we integrated single-cell and spatial transcriptomics of early human heart development with our genetic findings. We discovered that the candidate gene expression was enriched in the myogenic progenitors of the cardiac outflow tract. Moreover, subsets of the candidate genes were found in specific gene coexpression modules along the cardiomyocyte differentiation trajectory. These integrative functional analyses help dissect the pathogenesis of TOF, revealing cellular hotspots in early heart development resulting in cardiac malformations.
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Affiliation(s)
- Clara Sze Man Tang
- Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong
| | - Mimmi Mononen
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden
| | - Wai-Yee Lam
- Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong
| | - Sheng Chih Jin
- Department of Genetics, Washington University School of Medicine, St. Louis, United States of America
| | - Xuehan Zhuang
- Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong
| | | | - Qiongfen Lin
- Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong
| | - Yujia Yang
- Department of Surgery, Yale University School of Medicine, New Haven, United States of America
| | - Makoto Sahara
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden
| | - Elif Eroglu
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden
| | - Kenneth R Chien
- Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden
| | - Haifa Hong
- Department of Cardiovascular Surgery, Shanghai Children's Medical Center, Shanghai, China
| | - Paul Kh Tam
- Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong
| | - Peter J Gruber
- Yale University School of Medicine, New Haven, United States of America
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18
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Zhang X, Wang B, You G, Xiang Y, Fu Q, Yu Y, Zhang X. Copy number variation analysis in Chinese children with complete atrioventricular canal and single ventricle. BMC Med Genomics 2021; 14:243. [PMID: 34627233 PMCID: PMC8502261 DOI: 10.1186/s12920-021-01090-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 09/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Congenital heart disease (CHD) is one of the most common birth defects. Copy number variations (CNVs) have been proved to be important genetic factors that contribute to CHD. Here we screened genome-wide CNVs in Chinese children with complete atrioventricular canal (CAVC) and single ventricle (SV), since there were scarce researches dedicated to these two types of CHD. METHODS We screened CNVs in 262 sporadic CAVC cases and 259 sporadic SV cases respectively, using a customized SNP array. The detected CNVs were annotated and filtered using available databases. RESULTS Among 262 CAVC patients, we identified 6 potentially-causative CNVs in 43 individuals (16.41%, 43/262), including 2 syndrome-related CNVs (7q11.23 and 8q24.3 deletion). Surprisingly, 90.70% CAVC patients with detected CNVs (39/43) were found to carry duplications of 21q11.2-21q22.3, which were recognized as trisomy 21 (Down syndrome, DS). In CAVC with DS patients, the female to male ratio was 1.6:1.0 (24:15), and the rate of pulmonary hypertension (PH) was 41.03% (16/39). Additionally, 6 potentially-causative CNVs were identified in the SV patients (2.32%, 6/259), and none of them was trisomy 21. Most CNVs identified in our cohort were classified as rare (< 1%), occurring just once among CAVC or SV individuals except the 21q11.2-21q22.3 duplication (14.89%) in CAVC cohort. CONCLUSIONS Our study identified 12 potentially-causative CNVs in 262 CAVC and 259 SV patients, representing the largest cohort of these two CHD types in Chinese population. The results provided strong correlation between CAVC and DS, which also showed sex difference and high incidence of PH. The presence of potentially-causative CNVs suggests the etiology of complex CHD is incredibly diverse, and CHD candidate genes remain to be discovered.
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Affiliation(s)
- Xingyu Zhang
- Department of Laboratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bo Wang
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guoling You
- Department of Laboratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Xiang
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qihua Fu
- Department of Laboratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yongguo Yu
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xiaoqing Zhang
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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19
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Findley TO, Northrup H. The current state of prenatal detection of genetic conditions in congenital heart defects. Transl Pediatr 2021; 10:2157-2170. [PMID: 34584888 PMCID: PMC8429866 DOI: 10.21037/tp-20-315] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 11/05/2020] [Indexed: 11/06/2022] Open
Abstract
The incidence of congenital heart defect (CHD) has increased over the past fifty years, partly attributed to routine fetal anatomical examination by sonography during obstetric care and improvements in ultrasound technology and technique. Fetal findings on ultrasound in addition to maternal biomarkers are the backbone of first- and second-trimester screening for common genetic conditions, namely aneuploidy. Since the introduction of non-invasive prenatal testing (NIPT) using next-generation sequencing to sequence cell-free fetal DNA, the detection rate of common trisomies as well as sex chromosomal aneuploidies have markedly increased. As the use of NIPT continues to broaden, the best means of incorporating NIPT into prenatal care is less clear and complicated by misunderstanding of the limitations and non-diagnostic role of NIPT by clinicians and families. In other advancements in prenatal genetic testing, recommendations on the role of chromosomal microarray (CMA) for prenatal diagnosis has led to its increasing use to identify genetic conditions in fetuses diagnosed with CHD. Lastly, as whole exome sequencing (WES) becomes more available and affordable, the next clinical application of next-generation sequencing in prenatal diagnostic testing is on the horizon. While newer genetic tests may provide answers in terms of genetic diagnosis, even more questions will likely ensue for clinicians, researchers, and parents. The objective of this review is to provide the perspective of the evolution of maternal and fetal obstetric care against the backdrop of advancing genetic technology and its impact on families and clinicians.
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Affiliation(s)
- Tina O Findley
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hope Northrup
- Division of Medical Genetics, Department of Pediatrics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
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20
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Reuter MS, Chaturvedi RR, Jobling RK, Pellecchia G, Hamdan O, Sung WW, Nalpathamkalam T, Attaluri P, Silversides CK, Wald RM, Marshall CR, Williams S, Keavney BD, Thiruvahindrapuram B, Scherer SW, Bassett AS. Clinical Genetic Risk Variants Inform a Functional Protein Interaction Network for Tetralogy of Fallot. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2021; 14:e003410. [PMID: 34328347 PMCID: PMC8373675 DOI: 10.1161/circgen.121.003410] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Tetralogy of Fallot (TOF)-the most common cyanotic heart defect in newborns-has evidence of multiple genetic contributing factors. Identifying variants that are clinically relevant is essential to understand patient-specific disease susceptibility and outcomes and could contribute to delineating pathomechanisms. METHODS Using a clinically driven strategy, we reanalyzed exome sequencing data from 811 probands with TOF, to identify rare loss-of-function and other likely pathogenic variants in genes associated with congenital heart disease. RESULTS We confirmed a major contribution of likely pathogenic variants in FLT4 (VEGFR3 [vascular endothelial growth factor receptor 3]; n=14) and NOTCH1 (n=10) and identified 1 to 3 variants in each of 21 other genes, including ATRX, DLL4, EP300, GATA6, JAG1, NF1, PIK3CA, RAF1, RASA1, SMAD2, and TBX1. In addition, multiple loss-of-function variants provided support for 3 emerging congenital heart disease/TOF candidate genes: KDR (n=4), IQGAP1 (n=3), and GDF1 (n=8). In total, these variants were identified in 63 probands (7.8%). Using the 26 composite genes in a STRING protein interaction enrichment analysis revealed a biologically relevant network (P=3.3×10-16), with VEGFR2 (vascular endothelial growth factor receptor 2; KDR) and NOTCH1 (neurogenic locus notch homolog protein 1) representing central nodes. Variants associated with arrhythmias/sudden death and heart failure indicated factors that could influence long-term outcomes. CONCLUSIONS The results are relevant to precision medicine for TOF. They suggest considerable clinical yield from genome-wide sequencing, with further evidence for KDR (VEGFR2) as a congenital heart disease/TOF gene and for VEGF (vascular endothelial growth factor) and Notch signaling as mechanisms in human disease. Harnessing the genetic heterogeneity of single gene defects could inform etiopathogenesis and help prioritize novel candidate genes for TOF.
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Affiliation(s)
- Miriam S. Reuter
- CGEn, Univ Health Network, Toronto, ON, Canada
- The Ctr for Applied Genomics, Univ Health Network, Toronto, ON, Canada
- Program in Genetics & Genome Biology, Univ Health Network, Toronto, ON, Canada
| | - Rajiv R. Chaturvedi
- Labatt Family Heart Ctr, Univ Health Network, Toronto, ON, Canada
- Ontario Fetal Ctr, Mt Sinai Hospital, Univ Health Network, Toronto, ON, Canada
- Ted Rogers Ctr for Heart Rsrch, Cardiac Genome Clinic, Univ Health Network, Toronto, ON, Canada
| | - Rebekah K. Jobling
- Ted Rogers Ctr for Heart Rsrch, Cardiac Genome Clinic, Univ Health Network, Toronto, ON, Canada
- Division of Clinical & Metabolic Genetics, Univ Health Network, Toronto, ON, Canada
- Genome Diagnostics, Dept of Paediatric Laboratory Medicine, The Hospital for Sick Children, Univ Health Network, Toronto, ON, Canada
| | | | - Omar Hamdan
- The Ctr for Applied Genomics, Univ Health Network, Toronto, ON, Canada
| | - Wilson W.L. Sung
- The Ctr for Applied Genomics, Univ Health Network, Toronto, ON, Canada
| | | | - Pratyusha Attaluri
- Medical Genomics Program, Dept of Molecular Genetics, Univ Health Network, Toronto, ON, Canada
| | - Candice K. Silversides
- Division of Cardiology, Toronto Congenital Cardiac Ctr for Adults at the Peter Munk Cardiac Ctr, Dept of Medicine, Univ Health Network, Toronto, ON, Canada
| | - Rachel M. Wald
- Labatt Family Heart Ctr, Univ Health Network, Toronto, ON, Canada
- Division of Cardiology, Toronto Congenital Cardiac Ctr for Adults at the Peter Munk Cardiac Ctr, Dept of Medicine, Univ Health Network, Toronto, ON, Canada
| | - Christian R. Marshall
- The Ctr for Applied Genomics, Univ Health Network, Toronto, ON, Canada
- Genome Diagnostics, Dept of Paediatric Laboratory Medicine, The Hospital for Sick Children, Univ Health Network, Toronto, ON, Canada
- Laboratory Medicine & Pathobiology, Univ Health Network, Toronto, ON, Canada
| | - Simon Williams
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine & Health, The Univ of Manchester, Manchester, UK
- Manchester Univ NHS Foundation Trust, Manchester Academic Health Science Ctr, Manchester, UK
| | - Bernard D. Keavney
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine & Health, The Univ of Manchester, Manchester, UK
- Manchester Univ NHS Foundation Trust, Manchester Academic Health Science Ctr, Manchester, UK
| | | | - Stephen W. Scherer
- The Ctr for Applied Genomics, Univ Health Network, Toronto, ON, Canada
- Program in Genetics & Genome Biology, Univ Health Network, Toronto, ON, Canada
- Dept of Molecular Genetics, Univ Health Network, Toronto, ON, Canada
- McLaughlin Ctr, Univ Health Network, Toronto, ON, Canada
| | - Anne S. Bassett
- Division of Cardiology, Toronto Congenital Cardiac Ctr for Adults at the Peter Munk Cardiac Ctr, Dept of Medicine, Univ Health Network, Toronto, ON, Canada
- Clinical Genetics Research Program, Ctr for Addiction & Mental Health, Toronto, ON, Canada
- The Dalglish Family 22q Clinic for Adults with 22q11.2 Deletion Syndrome, Dept of Psychiatry & Toronto General Rsrch Inst, Univ Health Network, Toronto, ON, Canada
- Dept of Psychiatry, Univ of Toronto, Univ Health Network, Toronto, ON, Canada
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21
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Dowden L, Tucker D, Morgan S, Uzun O, Syed YA. Contribution of Congenital Heart Disorders Associated With Copy Number Variants in Mediating Risk for Brain Developmental Disorders: Evidence From 20-Year Retrospective Cohort Study. Front Cardiovasc Med 2021; 8:655463. [PMID: 34336942 PMCID: PMC8319541 DOI: 10.3389/fcvm.2021.655463] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 06/15/2021] [Indexed: 11/25/2022] Open
Abstract
Rare pathogenic copy number variants (CNVs) are genetic rearrangements that have been associated with an increased risk for congenital heart disorders (CHDs). However, the association of CNVs with atypical brain development, leading to neurodevelopmental disorders (NDDs), in the presence of CHDs remains unclear. We attempted to explore this association by establishing the prevalence and burden of CNVs associated with CHD in a Welsh population and by studying the effect of rare CNVs associated with CHDs in mediating the risk of NDDs. Toward this goal, we analyzed data from the Congenital Anomaly Register for Wales (CARIS), referred from hospitals in Wales between 1998 and 2018, which included 1,113 subjects in total. Of these, 785 subjects were included in the study following application of the exclusion criteria, and a total of 28 rare CNVs associated with CHD were analyzed. The findings from this cohort study identified 22q11.2 deletion as the most prominent CNV across the cohort. Our data demonstrates that the survival rate of the cohort after 3 years was 99.9%, and mortality fell significantly between 1 and 2 years and between 2 and 3 years [F(1,27) = 10, p = 0.0027; F(1,27) = 5.8, p = 0.0222]. Importantly, the data set revealed a positive correlation between the incidence of congenital heart disease and the incidence of neurodevelopmental abnormalities in patients with CNVs across the whole cohort [95% CI (0.4062, 0.8449), p < 0.0001, r = 0.6829]. Additionally, we identified significant CNVs that result in the co-morbidity of CHD and NDD and show that septal defects and global developmental delay are major congenital defects. Further research should identify a common molecular mechanism leading to the phenotypic comorbidity of CHDs and NDDs, arising from a common CNV, which can have an implication for improving risk classification and for fetal neuroprotection strategies in the affected children and in precision medicine.
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Affiliation(s)
- Luke Dowden
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom.,School of Bioscience, Cardiff University, Cardiff, United Kingdom
| | - David Tucker
- Knowledge Directorate, Public Health Wales, Swansea, United Kingdom
| | - Sian Morgan
- Department of Medical Genetics, University Hospital of Wales, Cardiff, United Kingdom
| | - Orhan Uzun
- Department of Fetal Cardiology, University Hospital of Wales, Cardiff, United Kingdom
| | - Yasir Ahmed Syed
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom.,School of Bioscience, Cardiff University, Cardiff, United Kingdom
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22
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Diab NS, Barish S, Dong W, Zhao S, Allington G, Yu X, Kahle KT, Brueckner M, Jin SC. Molecular Genetics and Complex Inheritance of Congenital Heart Disease. Genes (Basel) 2021; 12:1020. [PMID: 34209044 PMCID: PMC8307500 DOI: 10.3390/genes12071020] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/23/2021] [Accepted: 06/25/2021] [Indexed: 01/09/2023] Open
Abstract
Congenital heart disease (CHD) is the most common congenital malformation and the leading cause of mortality therein. Genetic etiologies contribute to an estimated 90% of CHD cases, but so far, a molecular diagnosis remains unsolved in up to 55% of patients. Copy number variations and aneuploidy account for ~23% of cases overall, and high-throughput genomic technologies have revealed additional types of genetic variation in CHD. The first CHD risk genotypes identified through high-throughput sequencing were de novo mutations, many of which occur in chromatin modifying genes. Murine models of cardiogenesis further support the damaging nature of chromatin modifying CHD mutations. Transmitted mutations have also been identified through sequencing of population scale CHD cohorts, and many transmitted mutations are enriched in cilia genes and Notch or VEGF pathway genes. While we have come a long way in identifying the causes of CHD, more work is required to end the diagnostic odyssey for all CHD families. Complex genetic explanations of CHD are emerging but will require increasingly sophisticated analysis strategies applied to very large CHD cohorts before they can come to fruition in providing molecular diagnoses to genetically unsolved patients. In this review, we discuss the genetic architecture of CHD and biological pathways involved in its pathogenesis.
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Affiliation(s)
- Nicholas S. Diab
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; (N.S.D.); (S.B.); (W.D.)
| | - Syndi Barish
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; (N.S.D.); (S.B.); (W.D.)
| | - Weilai Dong
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; (N.S.D.); (S.B.); (W.D.)
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA
| | - Shujuan Zhao
- Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA; (S.Z.); (X.Y.)
| | - Garrett Allington
- Department of Pathology, Yale School of Medicine, New Haven, CT 06510, USA;
| | - Xiaobing Yu
- Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA; (S.Z.); (X.Y.)
- Department of Computer Science & Engineering, Washington University, St. Louis, MO 63130, USA
| | - Kristopher T. Kahle
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA;
- Department of Pediatrics, Yale School of Medicine, New Haven, CT 06510, USA
- Department of Cellular & Molecular Physiology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Martina Brueckner
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; (N.S.D.); (S.B.); (W.D.)
- Department of Pediatrics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sheng Chih Jin
- Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA; (S.Z.); (X.Y.)
- Department of Pediatrics, School of Medicine, Washington University, St. Louis, MO 63110, USA
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23
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Chawner SJ, Watson CJ, Owen MJ. Clinical evaluation of patients with a neuropsychiatric risk copy number variant. Curr Opin Genet Dev 2021; 68:26-34. [PMID: 33461126 PMCID: PMC8219523 DOI: 10.1016/j.gde.2020.12.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/18/2020] [Accepted: 12/22/2020] [Indexed: 12/21/2022]
Abstract
Several copy number variants (CNVs) have been identified to confer high risk for a range of neuropsychiatric conditions. Because of advances in genetic testing within clinical settings, patients are increasingly receiving diagnoses of copy number variant genomic disorders. However, clinical guidelines surrounding assessment and management are limited. This review synthesises recent research and makes preliminary recommendations regarding the clinical evaluation of patients with neuropsychiatric risk CNVs. We recommend multi-system assessment beyond the initial referral reason, recognition of the potential need for co-ordinated multidisciplinary care, and that interventions take account of relevant multimorbidity. The frequently complex needs of patients with CNVs across the life-course pose challenges for many health care systems and may be best provided for by the establishment of specialist clinics.
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Affiliation(s)
- Samuel Jra Chawner
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, UK; Cardiff University Centre for Human Developmental Science, School of Psychology, Cardiff, UK
| | - Cameron J Watson
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, UK; Barts Health NHS Trust, London, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, UK.
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24
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Li X, Si N, Song Z, Ren Y, Xiao W. Clinical and genetic findings in patients with congenital cataract and heart diseases. Orphanet J Rare Dis 2021; 16:242. [PMID: 34059112 PMCID: PMC8165991 DOI: 10.1186/s13023-021-01873-7] [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: 01/15/2021] [Accepted: 05/20/2021] [Indexed: 12/02/2022] Open
Abstract
Background Congenital cataract (CC) and congenital heart disease (CHD) are significant birth defects. In clinical practice, the concurrence of CC and CHD is frequently observed in patients. Additionally, some monogenic diseases, copy number variation (CNV) syndromes, and diseases associated with intrauterine infection involve both cataract and heart defects. However, little is known about the association between CC and CHD. Here, we characterised the demographic, clinical, and genetic features of patients with CC and heart defects. Methods Medical records for 334 hospitalised patients diagnosed with CC were reviewed. Demographic and clinical features of patients with CC with and without CHD were compared. Clinical and genomic information for patients with ‘cataract’ and ‘cardiac defects’ were reviewed from Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources (DECIPHER). Microarray-based comparative genomic hybridisation and whole-exome sequencing were performed in 10 trio families with CC and CHD to detect de novo genomic alterations, including copy number variants and single nucleotide changes. Results In a retrospective analysis of 334 patients with CC over the past 10 years at our hospital, we observed a high proportion of patients (41.13%) with CHD (including innocent CHD, which reported as left-to-right shunt in echocardiography test). The CC with CHD group had higher incidences of preterm birth and Down’s syndrome than the CC without CHD group. Atrial septal defect was the most frequent heart defect. A total of 44 cases with cataracts and heart diseases were retrieved from Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources (DECIPHER). In total, 52 genomic alterations were reported, 44% of which were de novo germline variants. In the 10 trio families with CC and CHD, we found de novo CNVs responsible for two well-known chromosomal disorders and identified a novel pathogenic mutation in GJA8 responsible for CC. Conclusions We observed significant associations between CHD and CC in our 10-year patient cohort. Based on the cohort and data from DECIPHER, developmental syndromes in some patients were due to genetic defects, thus explaining the concurrence of CC and CHD. Additionally, we detected de novo mutations as an independent cause of cataracts. Our findings suggest that developmental syndromes in patients with CC deserve more attention in clinical practice by ophthalmologists. Supplementary Information The online version contains supplementary material available at 10.1186/s13023-021-01873-7.
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Affiliation(s)
- Xinru Li
- Department of Ophthalmology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China
| | - Nuo Si
- Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking, Union Medical College, Beijing, China
| | - Zixun Song
- Department of Ophthalmology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China
| | - Yaqiong Ren
- Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking, Union Medical College, Beijing, China
| | - Wei Xiao
- Department of Ophthalmology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China.
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25
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Martin LJ, Benson DW. Focused Strategies for Defining the Genetic Architecture of Congenital Heart Defects. Genes (Basel) 2021; 12:827. [PMID: 34071175 PMCID: PMC8228798 DOI: 10.3390/genes12060827] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 05/24/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022] Open
Abstract
Congenital heart defects (CHD) are malformations present at birth that occur during heart development. Increasing evidence supports a genetic origin of CHD, but in the process important challenges have been identified. This review begins with information about CHD and the importance of detailed phenotyping of study subjects. To facilitate appropriate genetic study design, we review DNA structure, genetic variation in the human genome and tools to identify the genetic variation of interest. Analytic approaches powered for both common and rare variants are assessed. While the ideal outcome of genetic studies is to identify variants that have a causal role, a more realistic goal for genetic analytics is to identify variants in specific genes that influence the occurrence of a phenotype and which provide keys to open biologic doors that inform how the genetic variants modulate heart development. It has never been truer that good genetic studies start with good planning. Continued progress in unraveling the genetic underpinnings of CHD will require multidisciplinary collaboration between geneticists, quantitative scientists, clinicians, and developmental biologists.
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Affiliation(s)
- Lisa J. Martin
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH 45229, USA
| | - D. Woodrow Benson
- Department of Pediatrics, Medical College of Wisconsin, Wauwatosa, WI 53226, USA;
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26
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A new era of genetic testing in congenital heart disease: A review. Trends Cardiovasc Med 2021; 32:311-319. [PMID: 33964404 DOI: 10.1016/j.tcm.2021.04.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 04/07/2021] [Accepted: 04/29/2021] [Indexed: 11/24/2022]
Abstract
Genetic and genomic testing in pediatric CHD is becoming increasingly routine, and can have important psychosocial, clinical and reproductive implications. In this paper we highlight important challenges and considerations when providing genetics consults and testing in pediatric CHD and illustrate the role of a dedicated CHD genetics clinic. Key lessons include that a) a genetic diagnosis can have clinical utility that justifies testing early in life, b) adequate genetic counselling is crucial to ensure families are supported, understand the range of possible results, and are prepared for new or unexpected health information, and c) further integration of the clinical genetics and cardiology workflows will be required to effectively manage the burgeoning information arising from genetic testing. Our experience demonstrates that a dedicated CHD genetics clinic is a valuable addition to a multidisciplinary team providing care to children with CHD.
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27
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Blagojevic C, Heung T, van Mil S, Oechslin E, Silversides CK, Granton JT, Bassett AS. Abnormal spirometry in adults with 22q11.2 microdeletion and congenital heart disease. INTERNATIONAL JOURNAL OF CARDIOLOGY CONGENITAL HEART DISEASE 2021. [DOI: 10.1016/j.ijcchd.2021.100085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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28
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Wu Y, Jin X, Zhang Y, Zheng J, Yang R. Genetic and epigenetic mechanisms in the development of congenital heart diseases. WORLD JOURNAL OF PEDIATRIC SURGERY 2021; 4:e000196. [DOI: 10.1136/wjps-2020-000196] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 03/28/2021] [Accepted: 03/30/2021] [Indexed: 02/06/2023] Open
Abstract
Congenital heart disease (CHD) is the most common of congenital cardiovascular malformations associated with birth defects, and it results in significant morbidity and mortality worldwide. The classification of CHD is still elusive owing to the complex pathogenesis of CHD. Advances in molecular medicine have revealed the genetic basis of some heart anomalies. Genes associated with CHD might be modulated by various epigenetic factors. Thus, the genetic and epigenetic factors are gradually accepted as important triggers in the pathogenesis of CHD. However, few literatures have comprehensively elaborated the genetic and epigenetic mechanisms of CHD. This review focuses on the etiology of CHD from genetics and epigenetics to discuss the role of these factors in the development of CHD. The interactions between genetic and epigenetic in the pathogenesis of CHD are also elaborated. Chromosome abnormalities and gene mutations in genetics, and DNA methylations, histone modifications and on-coding RNAs in epigenetics are summarized in detail. We hope the summative knowledge of these etiologies may be useful for improved diagnosis and further elucidation of CHD so that morbidity and mortality of children with CHD can be reduced in the near future.
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29
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Kim RW. Is There Any Clinical Utility to Genetic Testing for Patients With Congenital Heart Disease? Semin Thorac Cardiovasc Surg Pediatr Card Surg Annu 2021; 24:26-29. [PMID: 34116779 DOI: 10.1053/j.pcsu.2021.04.002] [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: 02/25/2021] [Revised: 04/11/2021] [Accepted: 04/19/2021] [Indexed: 11/11/2022]
Abstract
Genetic diagnosis is becoming increasingly sophisticated, with the ability to identify even fine differences in patients with a wide variety of congenital heart lesions. Although we have an incomplete understanding of the clinical consequences of most genetic findings, some categories of mutations can have important implications for disease recurrence and prognosis. Consideration of the biology underlying a genetic deficiency, when known, can be useful in the clinical management of some patients.
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Affiliation(s)
- Richard W Kim
- Pediatric and Congenital Cardiac Surgery, Guerin Congenital Heart Program, Smidt Heart Institute, Cedars- Sinai Medical Center, Los Angeles, California.
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30
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Andrews K, Prapa M, Radford E, Simonic I, Holden S, Belteki G. Taking consent for neonatal microarray analysis as a screen for genomic rearrangements: are paediatricians equipped for the genomic era? Arch Dis Child 2020; 105:1021-1022. [PMID: 31563874 DOI: 10.1136/archdischild-2019-317966] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/08/2019] [Indexed: 11/04/2022]
Affiliation(s)
- Katrina Andrews
- Department of Medical Genetics, University of Cambridge, Cambridge, UK.,East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Matina Prapa
- Department of Medical Genetics, University of Cambridge, Cambridge, UK.,East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Elizabeth Radford
- Department of Paediatrics, University of Cambridge, Cambridge, UK .,Department of Paediatrics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Ingrid Simonic
- East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Simon Holden
- Department of Medical Genetics, University of Cambridge, Cambridge, UK.,East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Gusztav Belteki
- Rosie Neonatal Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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31
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Zhuang X, Ye R, So MT, Lam WY, Karim A, Yu M, Ngo ND, Cherny SS, Tam PKH, Garcia-Barcelo MM, Tang CSM, Sham PC. A random forest-based framework for genotyping and accuracy assessment of copy number variations. NAR Genom Bioinform 2020; 2:lqaa071. [PMID: 33575619 PMCID: PMC7671382 DOI: 10.1093/nargab/lqaa071] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 08/18/2020] [Accepted: 08/26/2020] [Indexed: 12/24/2022] Open
Abstract
Detection of copy number variations (CNVs) is essential for uncovering genetic factors underlying human diseases. However, CNV detection by current methods is prone to error, and precisely identifying CNVs from paired-end whole genome sequencing (WGS) data is still challenging. Here, we present a framework, CNV-JACG, for Judging the Accuracy of CNVs and Genotyping using paired-end WGS data. CNV-JACG is based on a random forest model trained on 21 distinctive features characterizing the CNV region and its breakpoints. Using the data from the 1000 Genomes Project, Genome in a Bottle Consortium, the Human Genome Structural Variation Consortium and in-house technical replicates, we show that CNV-JACG has superior sensitivity over the latest genotyping method, SV2, particularly for the small CNVs (≤1 kb). We also demonstrate that CNV-JACG outperforms SV2 in terms of Mendelian inconsistency in trios and concordance between technical replicates. Our study suggests that CNV-JACG would be a useful tool in assessing the accuracy of CNVs to meet the ever-growing needs for uncovering the missing heritability linked to CNVs.
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Affiliation(s)
- Xuehan Zhuang
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Rui Ye
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Man-Ting So
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Wai-Yee Lam
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Anwarul Karim
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Michelle Yu
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ngoc Diem Ngo
- National Hospital of Pediatrics, Ha Noi 100000, Vietnam
| | - Stacey S Cherny
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Paul Kwong-Hang Tam
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | | | - Clara Sze-Man Tang
- Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Pak Chung Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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32
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Homans JF, de Reuver S, Heung T, Silversides CK, Oechslin EN, Houben ML, McDonald-McGinn DM, Kruyt MC, Castelein RM, Bassett AS. The role of 22q11.2 deletion syndrome in the relationship between congenital heart disease and scoliosis. Spine J 2020; 20:956-963. [PMID: 31958577 PMCID: PMC7246162 DOI: 10.1016/j.spinee.2020.01.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 01/10/2020] [Accepted: 01/11/2020] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT For over four decades, clinicians and researchers have suggested a relationship between congenital heart disease (CHD) and scoliosis, attributed to either the disease itself or to the long-term effects of cardiac surgery on the immature thoracic cage. However, no study has yet accounted for 22q11.2 deletion syndrome (22q11.2DS), the second most common cause of CHD after Down syndrome. 22q11.2DS has a scoliosis risk of 50%, but within 22q11.2DS a previous report found no significant association between scoliosis and CHD. We, therefore, hypothesized that scoliosis within a CHD cohort would be related to an underlying 22q11.2 deletion. PURPOSE To determine the prevalence of scoliosis in CHD patients with and without 22q11.2DS. STUDY DESIGN/SETTING Cross-sectional. PATIENT SAMPLE A well-characterized existing database of 315 adults with CHD (primarily tetralogy of Fallot), with (n=86) and without (n=229) 22q11.2DS, matched by sex and CHD severity, and excluding other known syndromic diagnoses. We compared the scoliosis prevalence of patients with 22q11.2DS and CHD patients to the prevalence of scoliosis in a cohort of adults with 22q11.2DS without CHD based on medical records. OUTCOME MEASURES Presence of scoliosis (Cobb angle ≥10°). METHODS We systematically determined the presence of scoliosis in all included patients using chest radiographs, blind to genetic diagnosis. Besides 22q11.2DS, we analyzed other suspected risk factors for scoliosis using a regression model: thoracotomy before the age of 12 years, severe CHD type and sex. RESULTS The prevalence of scoliosis in adults with CHD and 22q11.2DS (n=46, 53.5%) was significantly greater than in those without 22q11.2DS (n=18, 7.9%, p<.0001). The presence of a 22q11.2 deletion (odds ratio [OR] 25.4, 95% confidence interval [95% CI] 11.2-57.4, p<.0001), a history of thoracotomy before the age of 12 years (OR 3.5, 95% CI 1.6-8.1, p=.0027) and most complex CHD class (OR 2.3, 95% CI 1.1-4.7, p=.0196), but not sex, were significant independent predictors of scoliosis. In the 22q11.2DS group, a right-sided aortic arch was associated with a left thoracic scoliotic curve (p=.036). CONCLUSIONS The prevalence of scoliosis in those with CHD but without a 22q11.2 deletion approximates that of the general population. However, in the CHD population with a 22q11.2 deletion, the prevalence of scoliosis approximates that of others with 22q11.2DS. The pediatric surgical approach and severity of CHD were weaker independent contributors as compared to the 22q11.2 deletion. The results support the importance of a genetic diagnosis of 22q11.2DS to the risk of developing scoliosis in individuals with CHD. The 22q11.2 deletion may represent a common etiopathogenetic pathway for both CHD and scoliosis, possibly involving early laterality mechanisms.
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Affiliation(s)
- Jelle F Homans
- Department of Orthopedic Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 Utrecht, the Netherlands
| | - Steven de Reuver
- Department of Orthopedic Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 Utrecht, the Netherlands
| | - Tracy Heung
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada M5G 2N2; The Dalglish Family 22q Clinic for Adults, University Health Network, 200 Elizabeth St, Toronto, ON, Canada
| | - Candice K Silversides
- The Dalglish Family 22q Clinic for Adults, University Health Network, 200 Elizabeth St, Toronto, ON, Canada; Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, 585 University Ave, Toronto, ON, Canada M5G 2N2; Division of Cardiology, Department of Medicine, University Health Network, Toronto, ON, Canada
| | - Erwin N Oechslin
- The Dalglish Family 22q Clinic for Adults, University Health Network, 200 Elizabeth St, Toronto, ON, Canada; Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, 585 University Ave, Toronto, ON, Canada M5G 2N2; Division of Cardiology, Department of Medicine, University Health Network, Toronto, ON, Canada
| | - Michiel L Houben
- Department of Pediatrics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Donna M McDonald-McGinn
- Division of Human Genetics, 22q and You Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Moyo C Kruyt
- Department of Orthopedic Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 Utrecht, the Netherlands
| | - René M Castelein
- Department of Orthopedic Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 Utrecht, the Netherlands
| | - Anne S Bassett
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada M5G 2N2; The Dalglish Family 22q Clinic for Adults, University Health Network, 200 Elizabeth St, Toronto, ON, Canada; Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, 585 University Ave, Toronto, ON, Canada M5G 2N2; Division of Cardiology, Department of Medicine, University Health Network, Toronto, ON, Canada; Toronto General Research Institute and Campbell Family Mental Health Research Institute, Toronto, ON, Canada.
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Saliba A, Figueiredo ACV, Baroneza JE, Afiune JY, Pic‐Taylor A, Oliveira SFD, Mazzeu JF. Genetic and genomics in congenital heart disease: a clinical review. JORNAL DE PEDIATRIA (VERSÃO EM PORTUGUÊS) 2020. [DOI: 10.1016/j.jpedp.2019.07.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Saliba A, Figueiredo ACV, Baroneza JE, Afiune JY, Pic-Taylor A, Oliveira SFD, Mazzeu JF. Genetic and genomics in congenital heart disease: a clinical review. J Pediatr (Rio J) 2020; 96:279-288. [PMID: 31421069 PMCID: PMC9432128 DOI: 10.1016/j.jped.2019.07.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Accepted: 07/22/2019] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVE Discuss evidence referring to the genetic role in congenital heart diseases, whether chromosomic alterations or monogenic diseases. DATA SOURCE LILACS, PubMed, MEDLINE, SciELO, Google Scholar, and references of the articles found. Review articles, case reports, book chapters, master's theses, and doctoral dissertations were included. SUMMARY OF FINDINGS Congenital heart diseases are among the most common type of birth defects, afflicting up to 1% of the liveborn. Traditionally, the etiology was defined as a multifactorial model, with both genetic and external contribution, and the genetic role was less recognized. Recently, however, as the natural evolution and epidemiology of congenital heart diseases change, the identification of genetic factors has an expanding significance in the clinical and surgical management of syndromic or non-syndromic heart defects, providing tools for the understanding of heart development. CONCLUSIONS Concrete knowledge of congenital heart disease etiology and recognition of the genetic alterations may be helpful in the bedside management, defining prognosis and anticipating complications.
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Affiliation(s)
- Aline Saliba
- Universidade de Brasília, Programa de Pós-Graduação em Ciências da Saúde, Brasília, DF, Brazil; Secretaria de Saúde do Distrito Federal, Brasília, DF, Brazil; Instituto de Cardiologia do Distrito Federal, Brasília, DF, Brazil.
| | - Ana Carolina Vaqueiro Figueiredo
- Universidade de Brasília, Programa de Pós-Graduação em Ciências da Saúde, Brasília, DF, Brazil; Secretaria de Saúde do Distrito Federal, Brasília, DF, Brazil
| | | | | | - Aline Pic-Taylor
- Universidade de Brasília, Instituto de Biologia, Departamento de Genética e Morfologia, Brasília, DF, Brazil
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Congenital heart diseases: genetics, non-inherited risk factors, and signaling pathways. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2020. [DOI: 10.1186/s43042-020-0050-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Abstract
Background
Congenital heart diseases (CHDs) are the most common congenital anomalies with an estimated prevalence of 8 in 1000 live births. CHDs occur as a result of abnormal embryogenesis of the heart. Congenital heart diseases are associated with significant mortality and morbidity. The damage of the heart is irreversible due to a lack of regeneration potential, and usually, the patients may require surgical intervention. Studying the developmental biology of the heart is essential not only in understanding the mechanisms and pathogenesis of congenital heart diseases but also in providing us with insight towards developing new preventive and treatment methods.
Main body
The etiology of congenital heart diseases is still elusive. Both genetic and environmental factors have been implicated to play a role in the pathogenesis of the diseases. Recently, cardiac transcription factors, cardiac-specific genes, and signaling pathways, which are responsible for early cardiac morphogenesis have been extensively studied in both human and animal experiments but leave much to be desired. The discovery of novel genetic methods such as next generation sequencing and chromosomal microarrays have led to further study the genes, non-coding RNAs and subtle chromosomal changes, elucidating their implications to the etiology of congenital heart diseases. Studies have also implicated non-hereditary risk factors such as rubella infection, teratogens, maternal age, diabetes mellitus, and abnormal hemodynamics in causing CHDs.
These etiological factors raise questions on multifactorial etiology of CHDs. It is therefore important to endeavor in research based on finding the causes of CHDs. Finding causative factors will enable us to plan intervention strategies and mitigate the consequences associated with CHDs. This review, therefore, puts forward the genetic and non-genetic causes of congenital heart diseases. Besides, it discusses crucial signaling pathways which are involved in early cardiac morphogenesis. Consequently, we aim to consolidate our knowledge on multifactorial causes of CHDs so as to pave a way for further research regarding CHDs.
Conclusion
The multifactorial etiology of congenital heart diseases gives us a challenge to explicitly establishing specific causative factors and therefore plan intervention strategies. More well-designed studies and the use of novel genetic technologies could be the way through the discovery of etiological factors implicated in the pathogenesis of congenital heart diseases.
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He M, Zhang Z, Hu T, Liu S. Chromosomal microarray analysis for the detection of chromosome abnormalities in fetuses with echogenic intracardiac focus in women without high-risk factors. Medicine (Baltimore) 2020; 99:e19014. [PMID: 32000445 PMCID: PMC7004657 DOI: 10.1097/md.0000000000019014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 12/18/2019] [Accepted: 01/03/2020] [Indexed: 01/01/2023] Open
Abstract
To investigate the association between pathogenic copy number variants (p-CNVs) and abnormal karyotypes detected by chromosomal microarray analysis (CMA) and echogenic intracardiac focus (EIF).This was a retrospective study of fetuses with EIF with CMA data at the Prenatal Diagnosis Center of the West China Second University Hospital of Sichuan University between September 2014 and May 2017. Fetuses were assigned to the isolated EIF and non-isolated EIF groups according to the presence of other ultrasound abnormalities.Among 244 pregnant women, there were 143 cases of isolated EIF and 101 of non-isolated EIF. CMA revealed chromosome abnormality (n = 9 (3.7%): trisomy 21, n = 4; sexual trisomy, n = 2; and p-CNV, n = 3), variants of unknown significance (VOUS, n = 19), and benign CNV (b-CNV, n = 216). Among the fetuses with isolated EIF, 5 had chromosomal abnormalities (3.5%). Among the fetuses with non-isolated EIF, four had chromosomal abnormalities (4.0%). All fetuses with trisomy 21 were in the non-isolated group. The frequency of labor induction was 66.7% (6/9) among the fetuses with chromosome abnormality and 21.1% (4/19) among those with VOUS. Among those with chromosomal abnormalities, one (11.1%) had congenital heart disease.In pregnant women without high-risk factors for chromosomal abnormalities, ultrasound abnormalities, including EIF, could be an indication for CMA. Ultrasound abnormalities (including EIF) and chromosome abnormality could indicate a high risk of CHD. The presence of EIF and at least another ultrasound abnormality could indicate a high risk of trisomy 21.
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Affiliation(s)
- Min He
- Departments of Ultrasound
| | - Zhu Zhang
- Departments of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, China
| | - Ting Hu
- Departments of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, China
| | - Shanling Liu
- Departments of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Chengdu, China
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Dasouki MJ, Wakil SM, Al-Harazi O, Alkorashy M, Muiya NP, Andres E, Hagos S, Aldusery H, Dzimiri N, Colak D. New Insights into the Impact of Genome-Wide Copy Number Variations on Complex Congenital Heart Disease in Saudi Arabia. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2019; 24:16-28. [PMID: 31855513 DOI: 10.1089/omi.2019.0165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Congenital heart diseases (CHDs) are complex traits that manifest in diverse clinical phenotypes such as the Tetralogy of Fallot (TOF), valvular and ventricular/atrial septal defects. Genetic mechanisms of CHDs have remained largely unclear to date. Copy number variations (CNVs) have been implicated in many complex diseases but their impact has not been examined extensively in various forms of CHD lesions. We report in this study, to the best of our knowledge, the largest cohort of Saudi Arab CHD patients to date who were evaluated using genome-wide CNV analysis. In a sample of 134 Saudi Arab patients with CHD, 66 exhibited pathogenic or likely pathogenic CNVs. Notably, 21 copy number gains and 11 copy number losses were detected that encompassed 141 genes and 146 genes, respectively. The most frequent gains were on 17q21.31, 8p11.21, and 22q11.23, whereas the losses were primarily localized to 16p11.2. Interestingly, all lesions have had gains at 17q21.31. Septal defects had also gains at 8p11.21 and 22q11.23, valvular lesions at 8p11.21, 22q11.23, and 2q13, and TOF at 16p11.2. Functional and network analyses demonstrated that cardiovascular and nervous system development and function as well as cell death/survival were most significantly associated with CNVs, thus highlighting the potentially important genes likely to be involved in CHD, including NPHP1, PLCB1, KANSL1, and NR3C1. In conclusion, this genome-wide analysis identifies a high frequency of CNVs mostly in patients with septal defects, primarily influencing cardiovascular developmental and functional pathways, thereby offering a deeper insight into the complex networks involved in CHD pathogenesis.
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Affiliation(s)
- Majed J Dasouki
- Departments Genetics and Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Salma M Wakil
- Departments Genetics and Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Olfat Al-Harazi
- Departments Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Maarab Alkorashy
- Departments Genetics and Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Nzioka P Muiya
- Departments Genetics and Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Editha Andres
- Departments Genetics and Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Samya Hagos
- Departments Genetics and Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Haya Aldusery
- Departments Genetics and Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Nduna Dzimiri
- Departments Genetics and Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Dilek Colak
- Departments Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
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Genetics of Congenital Heart Disease. Biomolecules 2019; 9:biom9120879. [PMID: 31888141 PMCID: PMC6995556 DOI: 10.3390/biom9120879] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 12/07/2019] [Accepted: 12/09/2019] [Indexed: 12/12/2022] Open
Abstract
Congenital heart disease (CHD) is one of the most common birth defects. Studies in animal models and humans have indicated a genetic etiology for CHD. About 400 genes have been implicated in CHD, encompassing transcription factors, cell signaling molecules, and structural proteins that are important for heart development. Recent studies have shown genes encoding chromatin modifiers, cilia related proteins, and cilia-transduced cell signaling pathways play important roles in CHD pathogenesis. Elucidating the genetic etiology of CHD will help improve diagnosis and the development of new therapies to improve patient outcomes.
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Petracchi F, Sisterna S, Igarzabal L, Wilkins-Haug L. Fetal cardiac abnormalities: Genetic etiologies to be considered. Prenat Diagn 2019; 39:758-780. [PMID: 31087396 DOI: 10.1002/pd.5480] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 04/16/2019] [Accepted: 04/27/2019] [Indexed: 12/21/2022]
Abstract
Congenital heart diseases are a common prenatal finding. The prenatal identification of an associated genetic syndrome or a major extracardiac anomaly helps to understand the etiopathogenic diagnosis. Besides, it also assesses the prognosis, management, and familial recurrence risk while strongly influences parental decision to choose termination of pregnancy or postnatal care. This review article describes the most common genetic diagnoses associated with a prenatal finding of a congenital heart disease and a suggested diagnostic process.
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Affiliation(s)
- Florencia Petracchi
- Sección Genética Departamento de Ginecología y Obstetricia, CEMIC Instituto Universitario, Buenos Aires, Argentina
| | - Silvina Sisterna
- Sección Genética Departamento de Ginecología y Obstetricia, CEMIC Instituto Universitario, Buenos Aires, Argentina
| | - Laura Igarzabal
- Sección Genética Departamento de Ginecología y Obstetricia, CEMIC Instituto Universitario, Buenos Aires, Argentina
| | - Louise Wilkins-Haug
- Harvard Medical School Department of Obstetrics, Gynecology and Reproductive Medicine Division Chief Maternal Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Boston, MA
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Harper AR, Parikh VN, Goldfeder RL, Caleshu C, Ashley EA. Delivering Clinical Grade Sequencing and Genetic Test Interpretation for Cardiovascular Medicine. ACTA ACUST UNITED AC 2019; 10:CIRCGENETICS.116.001221. [PMID: 28411191 DOI: 10.1161/circgenetics.116.001221] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Andrew R Harper
- From the Royal Brompton and Harefield NHS Foundation Trust, London (A.R.H.); Wellcome Trust Centre for Human Genetics, University of Oxford, United Kingdom (A.R.H.); Department of Genetics, Stanford University, Stanford, CA (E.A.A., R.L.G.); and Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA (V.N.P., R.L.G., C.C., E.A.A.)
| | - Victoria N Parikh
- From the Royal Brompton and Harefield NHS Foundation Trust, London (A.R.H.); Wellcome Trust Centre for Human Genetics, University of Oxford, United Kingdom (A.R.H.); Department of Genetics, Stanford University, Stanford, CA (E.A.A., R.L.G.); and Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA (V.N.P., R.L.G., C.C., E.A.A.)
| | - Rachel L Goldfeder
- From the Royal Brompton and Harefield NHS Foundation Trust, London (A.R.H.); Wellcome Trust Centre for Human Genetics, University of Oxford, United Kingdom (A.R.H.); Department of Genetics, Stanford University, Stanford, CA (E.A.A., R.L.G.); and Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA (V.N.P., R.L.G., C.C., E.A.A.)
| | - Colleen Caleshu
- From the Royal Brompton and Harefield NHS Foundation Trust, London (A.R.H.); Wellcome Trust Centre for Human Genetics, University of Oxford, United Kingdom (A.R.H.); Department of Genetics, Stanford University, Stanford, CA (E.A.A., R.L.G.); and Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA (V.N.P., R.L.G., C.C., E.A.A.)
| | - Euan A Ashley
- From the Royal Brompton and Harefield NHS Foundation Trust, London (A.R.H.); Wellcome Trust Centre for Human Genetics, University of Oxford, United Kingdom (A.R.H.); Department of Genetics, Stanford University, Stanford, CA (E.A.A., R.L.G.); and Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA (V.N.P., R.L.G., C.C., E.A.A.).
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Martin LJ, Pilipenko V, Benson DW. Role of Segregation for Variant Discovery in Multiplex Families Ascertained by Probands With Left Sided Cardiovascular Malformations. Front Genet 2019; 9:729. [PMID: 30687393 PMCID: PMC6336695 DOI: 10.3389/fgene.2018.00729] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 12/22/2018] [Indexed: 12/31/2022] Open
Abstract
Cardiovascular malformations (CVM) are common birth defects (incidence of 2-5/100 live births). Although a genetic basis is established, in most cases the cause remains unknown. Analysis of whole exome sequencing (WES) in left sided CVM case and trio series has identified large numbers of potential variants but evidence of causality has remained elusive except in a small percentage of cases. We sought to determine whether variant segregation in families would aid in novel gene discovery. The objective was to compare conventional and co-segregation approaches for WES in multiplex families. WES was performed on 52 individuals from 4 multiplex families ascertained by probands with hypoplastic left heart syndrome (HLHS). We identified rare variants with informatics support (RVIS, minor allele frequency ≤0.01 and Combined Annotation Dependent Depletion score ≥20) in probands. Non-RVIS variants did not meet these criteria. Family specific two point logarithm of the odds (LOD) scores identified co-segregating variants (C-SV) using a dominant model and 80% penetrance. In families, 702 RVIS in 668 genes were identified, but only 1 RVIS was also a C-SV (LOD ≥ 1). On the other hand, there were 109 non-RVIS variants with LOD ≥ 1. Among 110 C-SV, 97% were common (MAF > 1%). These results suggest that conventional variant identification methods focused on RVIS, miss most C-SV. For diseases such as left sided CVM, which exhibit strong familial transmission, co-segregation can identify novel candidates.
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Affiliation(s)
- Lisa J Martin
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, United States
| | - Valentina Pilipenko
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - D Woodrow Benson
- Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, United States
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Abstract
PURPOSE OF REVIEW The aim of this study is to review genetics of congenital heart disease (CHD) with a focus on clinical applications, genetic testing and clinical challenges. RECENT FINDINGS With improved clinical care, there is a rapidly expanding population of adults, especially women, with CHD who have not undergone contemporary genetic assessment and do not understand their risk for having a child with CHD. Many patients have never undergone assessment or had genetic testing. A major barrier is medical geneticist availability, resulting in this burden of care shifting to providers outside of genetics. Even with current understanding, the cause for the majority of cases of CHD is still not known. There are significant gaps in knowledge in the realms of more complex causes such as noncoding variants, multigenic contribution and small structural chromosomal anomalies. SUMMARY Standard assessment of patients with CHD, including adult survivors, is indicated. The best first-line genetic assessment for most patients with CHD is a chromosomal microarray, and this will soon evolve to be genomic sequencing with copy number variant analysis. Due to lack of medical geneticists, creative solutions to maximize the number of patients with CHD who undergo assessment with standard protocols and plans for support with result interpretation need to be explored.
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Cai M, Huang H, Su L, Lin N, Wu X, Xie X, An G, Li Y, Lin Y, Xu L, Cao H. Chromosomal abnormalities and copy number variations in fetal ventricular septal defects. Mol Cytogenet 2018; 11:58. [PMID: 30519285 PMCID: PMC6264052 DOI: 10.1186/s13039-018-0408-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 11/20/2018] [Indexed: 11/18/2022] Open
Abstract
Background This study aimed to evaluate the applicability of chromosomal microarray analysis (CMA), rather than traditional chromosome analysis, in prenatal diagnosis of ventricular septal defects (VSDs) for superior prenatal genetic counseling and to reveal a potential correlation between submicroscopic chromosomal aberrations and VSDs. Results Among the 151 VSD cases, 79 (52.3%) had isolated defects and 72 (47.7%) had additional ultrasound anomalies. Karyotype analysis identified 16 chromosomal abnormalities. Besides the 14 cases of chromosome abnormalities consistent with karyotype analysis, CMA identified an additional 20 cases (13.2%) of abnormal copy number variations (CNVs), of which 13 were pathogenetic CNVs, 5 were variations of uncertain clinical significance (VOUS) and 2 were benign CNVs. The detection rate of pathogenic CNVs in non-isolated-VSDs was significantly higher than that in isolated-VSDs (36.1% (26/72) vs. 1.3% (1/79), p = 0.001). We also found that CMA results indicating pathogenic abnormalities affected the rate of pregnancy termination. Conclusions This study showed that CMA combined with cytogenetic analysis is particularly effective in identifying CNVs in fetuses with VSDs and can have an effect on obstetrical outcomes. The elucidation of the etiology of VSDs suggested that gene mutations or other factors may be implicated.
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Affiliation(s)
- Meiying Cai
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Hailong Huang
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Linjuan Su
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Na Lin
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Xiaoqing Wu
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Xiaorui Xie
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Gang An
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Ying Li
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Yuan Lin
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Liangpu Xu
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
| | - Hua Cao
- Department of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China
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Li Z, Huang J, Liang B, Zeng D, Luo S, Yan T, Liao F, Huang J, Li J, Cai R, Deng X, Tang N. Copy number variations in the GATA4, NKX2-5, TBX5, BMP4 CRELD1, and 22q11.2 gene regions in Chinese children with sporadic congenital heart disease. J Clin Lab Anal 2018; 33:e22660. [PMID: 30221396 DOI: 10.1002/jcla.22660] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 08/04/2018] [Accepted: 08/04/2018] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Congenital heart disease (CHD) is a common birth defect originating from both environmental and genetic factors. An overabundance of copy number variations (CNVs) affecting cardiac-related genes has previously been detected in individuals with CHD. OBJECTIVE To evaluate if the presence of CNVs in the 22q11.2 region, and to determine whether GATA4, NKX2-5, TBX5, BMP, and CRELD1 genes contributed toward the pathogenesis of isolated incidences of CHDs in southwest China. METHODS In total 167 patients from southwest China with sporadic CHD were studied, including 121 patients with ventricular septal defect (VSD), 24 with atrial septal defect (ASD), 12 with tetralogy of fallot (TOF), six VSD cases with TOF, two cases with patent ductus arteriosus (PDA), and two VSD cases with ASD. 22q11.2, GATA4, NKX2-5, TBX5, BMP4, and CRELD1 regions were screened using MLPA and copy number variation sequencing (CNV-Seq). RESULTS A 2.5-2.8 Mb deletion in the 22q11.2 region was identified in 5 patients with CHD. Two of these patients were diagnosed with VSD, while two had VSD and ASD, and the other had TOF. 5 patients correspond to the same classical DiGeorge syndrome. A 0.86 Mb duplication in the 22q11.2 region was identified in a PDA patient, whom was without extracardiac symptoms. CONCLUSION These data suggest that copy number variation in the 22q11.2 region is common in CHD patients in southwest China. Regardless of the presence or absence of extracardiac symptoms, results also indicate that it is necessary to perform prenatal screening for CHD.
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Affiliation(s)
- Zhetao Li
- Department of Medical Genetics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Jiwei Huang
- Department of Medical Genetics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Biao Liang
- Department of Pediatrics Surgery, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Dingyuan Zeng
- Deparment of Gynaecology and Obstetrics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Shiqiang Luo
- Department of Medical Genetics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Tizhen Yan
- Department of Medical Genetics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Fengwen Liao
- Department of Pediatrics Surgery, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Jun Huang
- Department of Medical Genetics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Jingwen Li
- Department of Medical Genetics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Ren Cai
- Department of Medical Genetics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Xine Deng
- Department of the Perinatal Division, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
| | - Ning Tang
- Department of Medical Genetics, Liuzhou Maternal and Children Healthcare Hospital, Liuzhou, China
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45
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Svirsky R, Brabbing-Goldstein D, Rozovski U, Kapusta L, Reches A, Yaron Y. The genetic and clinical outcome of isolated fetal muscular ventricular septal defect (VSD). J Matern Fetal Neonatal Med 2018; 32:2837-2841. [DOI: 10.1080/14767058.2018.1449829] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Ran Svirsky
- Prenatal Genetic Diagnosis Unit & Genetic Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Department of Obstetrics And Gynecology, Assaf Harofe Medical Center, Zrifin, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Dana Brabbing-Goldstein
- Prenatal Genetic Diagnosis Unit & Genetic Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Uri Rozovski
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Davidoff Cancer Center, Institute of Hematology, Beilinson Hospital, Tel Aviv, Israel
| | - Livia Kapusta
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Children’s Heart Center, Amalia Children’s Hospital, Radboud University Medical Centre, Nijmegen, The Netherlands
- Pediatric Cardiology Unit, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Adi Reches
- Prenatal Genetic Diagnosis Unit & Genetic Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Yuval Yaron
- Prenatal Genetic Diagnosis Unit & Genetic Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
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46
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Waespe N, Dhanraj S, Wahala M, Tsangaris E, Enbar T, Zlateska B, Li H, Klaassen RJ, Fernandez CV, Cuvelier GDE, Wu JK, Pastore YD, Silva M, Lipton JH, Brossard J, Michon B, Abish S, Steele M, Sinha R, Belletrutti MJ, Breakey VR, Jardine L, Goodyear L, Kofler L, Cada M, Sung L, Shago M, Scherer SW, Dror Y. The clinical impact of copy number variants in inherited bone marrow failure syndromes. NPJ Genom Med 2017; 2. [PMID: 28690869 PMCID: PMC5498150 DOI: 10.1038/s41525-017-0019-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Inherited bone marrow failure syndromes comprise a genetically heterogeneous group of diseases with hematopoietic failure and a wide array of physical malformations. Copy number variants were reported in some inherited bone marrow failure syndromes. It is unclear what impact copy number variants play in patients evaluated for a suspected diagnosis of inherited bone marrow failure syndromes. Clinical and genetic data of 323 patients from the Canadian Inherited Marrow Failure Registry from 2001 to 2014, who had a documented genetic work-up, were analyzed. Cases with pathogenic copy number variants (at least 1 kilobasepairs) were compared to cases with other mutations. Genotype-phenotype correlations were performed to assess the impact of copy number variants. Pathogenic nucleotide-level mutations were found in 157 of 303 tested patients (51.8%). Genome-wide copy number variant analysis by single-nucleotide polymorphism arrays or comparative genomic hybridization arrays revealed pathogenic copy number variants in 11 of 67 patients tested (16.4%). In four of these patients, identification of copy number variant was crucial for establishing the correct diagnosis as their clinical presentation was ambiguous. Eight additional patients were identified to harbor pathogenic copy number variants by other methods. Of the 19 patients with pathogenic copy number variants, four had compound-heterozygosity of a copy number variant with a nucleotide-level mutation. Pathogenic copy number variants were associated with more extensive non-hematological organ system involvement (p = 0.0006), developmental delay (p = 0.006) and short stature (p = 0.04) compared to nucleotide-level mutations. In conclusion, a significant proportion of patients with inherited bone marrow failure syndromes harbor pathogenic copy number variants which were associated with a more extensive non-hematological phenotype in this cohort. Patients with a phenotype suggestive of inherited bone marrow failure syndromes but without identification of pathogenic nucleotide-level mutations should undergo specific testing for copy number variants. Copy number variation in patients with inherited bone marrow failure syndromes (IBMFSs) is associated with more severe clinical symptoms. In addition to persistently low levels of red blood cells, white blood cells and/ or platelets, patients with IBMFSs also present varying degrees of physical malformations. Most cases are associated with single base-pair mutations in the DNA sequence, but Canadian researchers led by Yigal Dror at The Hospital for Sick Children in Toronto, have found that whole sections of the genome are deleted or repeated in an important proportion of patients. Those carrying copy number variants (CNV) presented more commonly with developmental delay, short stature and defects in more organ systems, than patients with point mutations. CNV analysis of patients with suspected IBMFSs could aid early disease evaluation and management.
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Affiliation(s)
- Nicolas Waespe
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada.,Marrow Failure and Myelodysplasia Program, Division of Hematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Santhosh Dhanraj
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Manju Wahala
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Elena Tsangaris
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Tom Enbar
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Bozana Zlateska
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Hongbing Li
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Robert J Klaassen
- Department of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
| | | | - Geoff D E Cuvelier
- Pediatric Hematology/Oncology, University of Manitoba, CancerCare Manitoba, Winnipeg, MB, Canada
| | - John K Wu
- Division of Hematology/Oncology, UBC & B.C. Children's Hospital, Vancouver, BC, Canada
| | | | | | - Jeffrey H Lipton
- Allogeneic Blood and Marrow Transplant Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Joseé Brossard
- Centre Hospitalier Universitaire, Sherbrooke, QC, Canada
| | - Bruno Michon
- Centre Hospitalier Universitaire, Québec, QC, Canada
| | - Sharon Abish
- Pediatric Hematology Oncology, Montreal Children's Hospital, Montreal, QC, Canada
| | | | - Roona Sinha
- Royal University Hospital, Saskatoon, SK, Canada
| | | | - Vicky R Breakey
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | - Lawrence Jardine
- Children's Hospital, London Health Sciences Centre, London, ON, Canada
| | - Lisa Goodyear
- Pediatric Hematology/Oncology, Janeway Child Health Centre, St. John's, NF, Canada
| | - Liat Kofler
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Michaela Cada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Lillian Sung
- Population Health Sciences, Research Institute, Division of Hematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Mary Shago
- Cytogenetics Laboratory, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Stephen W Scherer
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Yigal Dror
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada.,Marrow Failure and Myelodysplasia Program, Division of Hematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
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47
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Bassett AS, Costain G, Marshall CR. Neuropsychiatric aspects of 22q11.2 deletion syndrome: considerations in the prenatal setting. Prenat Diagn 2016; 37:61-69. [PMID: 27718271 DOI: 10.1002/pd.4935] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 09/21/2016] [Accepted: 10/03/2016] [Indexed: 12/20/2022]
Abstract
Most major neuropsychiatric outcomes of concern to families are not detectable by prenatal ultrasound. The introduction of genome-wide chromosomal microarray analysis to prenatal clinical diagnostic testing has increased the detection of pathogenic 22q11.2 deletions, which cause the most common genomic disorder. The recent addition of this and other microdeletions to non-invasive prenatal screening methods using cell-free fetal DNA has further propelled interest in outcomes. Conditions associated with 22q11.2 deletions include intellect ranging from intellectual disability to average, schizophrenia and other treatable psychiatric conditions, epilepsy, and early-onset Parkinson's disease. However, there is currently no way to predict how severe the lifetime expression will be. Available evidence suggests no major role in these neuropsychiatric outcomes for the congenital cardiac or most other structural anomalies that may be detectable on ultrasound. This article provides an outline of the lifetime neuropsychiatric phenotype of 22q11.2 deletion syndrome that will be useful to clinicians involved in prenatal diagnosis and related genetic counselling. The focus is on information that will be most relevant to two common situations: detection of a 22q11.2 deletion in a fetus or newborn, and new diagnosis of 22q11.2 deletion syndrome in a parent without a previous molecular diagnosis. © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Anne S Bassett
- The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada.,Department of Mental Health, Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada.,Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Gregory Costain
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Medical Genetics Residency Training Program, University of Toronto, Toronto, Ontario, Canada
| | - Christian R Marshall
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
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