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Schubert C, Milverton J, Goodall S, Merlin T. A systematic review to assess the utility of genomic autopsy using exome or genome sequencing in cases of congenital anomalies and perinatal death. Genet Med 2024; 26:101159. [PMID: 38704678 DOI: 10.1016/j.gim.2024.101159] [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: 01/21/2024] [Revised: 04/26/2024] [Accepted: 04/26/2024] [Indexed: 05/06/2024] Open
Abstract
PURPOSE Exome or genome sequencing (ES or GS) can identify genetic causes of otherwise unexplained congenital anomaly and perinatal death (PND) but is not routine practice. The evidence base for "genomic autopsy" after termination of pregnancy for fetal anomaly (TOPFA) and PND has been synthesized to determine the value of this investigation. METHODS We conducted a systematic review and meta-analysis of studies meeting prespecified inclusion criteria and containing ≥10 cases of TOPFA or PND (with or without major congenital abnormality), in which ES or GS was conducted. We determined test performance, including diagnostic yield, accuracy, and reliability. We also reported outcomes associated with clinical utility and harms, where described. RESULTS From 2245 potentially eligible studies, 32 publications were eligible and had data extracted, representing 2120 cases that could be meta-analyzed. No diagnostic accuracy or comparative studies were identified, although some analysis of concordance between different ES/GS methodologies could be performed. Studies reporting parent-related outcomes or long-term follow-up did not do so in a systematic or quantifiable manner. CONCLUSION Evidence suggests that approximately one-fourth to one-third of fetal losses associated with TOPFA or unexplained PND are associated with a genetic cause identifiable on ES or GS-albeit this estimate varies depending on phenotypic and background risk factors. Despite the large body of evidence on ES and GS, little research has attempted to validate the accuracy of testing, nor measure the clinical or societal outcomes in families that follow the diagnostic investigation in this context.
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Affiliation(s)
- Camille Schubert
- Adelaide Health Technology Assessment (AHTA), School of Public Health, University of Adelaide, Adelaide, SA, Australia.
| | - Joanne Milverton
- Adelaide Health Technology Assessment (AHTA), School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Stephen Goodall
- Centre for Health Economics Research and Evaluation, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - Tracy Merlin
- Adelaide Health Technology Assessment (AHTA), School of Public Health, University of Adelaide, Adelaide, SA, Australia
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Makhamreh MM, Shivashankar K, Araji S, Critchlow E, O'Brien BM, Wodoslawsky S, Berger SI, Al-Kouatly HB. RASopathies are the most common set of monogenic syndromes identified by exome sequencing for nonimmune hydrops fetalis: A systematic review and meta-analysis. Am J Med Genet A 2024; 194:e63494. [PMID: 38156365 DOI: 10.1002/ajmg.a.63494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 11/16/2023] [Accepted: 11/22/2023] [Indexed: 12/30/2023]
Abstract
RASopathies are a group of malformation syndromes known to lead to nonimmune hydrops fetalis (NIHF) in severe presentations. Pathogenic variants can be de novo or parentally inherited. Despite being a known frequent presentation, the fraction of monogenic NIHF cases due to RASopathies is limited in the literature. Also, the specific parental contribution of RASopathies to NIHF is not well described. Our objective was to review pooled exome sequencing (ES) diagnostic yield of RASopathies for NIHF and to determine the parental contribution of RASopathy to NIHF. We performed a systematic review of prenatal ES studies from January 1, 2000 to August 1, 2022. Thirty-six studies met inclusion criteria. Cases with RASopathy gene variants were reviewed. NIHF cases were further classified as isolated or non-isolated. Thirty-six ES studies including 46 pregnancies with NIHF and a diagnosed RASopathy were reviewed. Forty-four diagnostic variants and 2 variants of uncertain significance in 12 RASopathy genes were identified. Expanding on what was previously published, a total of 506 NIHF cases were extracted with 191 cases yielding a positive diagnosis by ES. The overall rate of RASopathy diagnosis in clinically diagnosed NIHF cases was 9% (44/506). The rate of RASopathy diagnosis among NIHF cases with positive genetic diagnosis by ES was 23% (44/191). Of the 46 cases identified, 13 (28%) variants were parentally inherited; specifically, 5/13 (38%) maternal, 3/13 (23%) paternal, 2/13 (15%) biparental, and 3/13 (23%) unspecified. Majority of NIHF cases 29/46 (63%) were isolated. Among NIHF cases with positive ES diagnoses, RASopathy diagnostic yield by ES was 23%. NIHF secondary to RASopathies was parentally inherited in 28% of cases. Most cases of NIHF due to RASopathy were isolated, with no prenatal detection of associated anomalies.
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Affiliation(s)
- Mona M Makhamreh
- Department of Obstetrics and Gynecology, Maimonides Medical Center, Brooklyn, New York, USA
| | - Kavya Shivashankar
- Department of Obstetrics and Gynecology, University of Illinois College of Medicine, Chicago, Illinois, USA
| | - Sarah Araji
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Mississippi, Jackson, Mississippi, USA
| | - Elizabeth Critchlow
- Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Barbara M O'Brien
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Department Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Sascha Wodoslawsky
- Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Seth I Berger
- Center for Genetic Medicine Research and Rare Disease Institute, Children's National Medical Center, Washington, DC, USA
| | - Huda B Al-Kouatly
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
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3
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Singh AK, Allington G, Viviano S, McGee S, Kiziltug E, Ma S, Zhao S, Mekbib KY, Shohfi JP, Duy PQ, DeSpenza T, Furey CG, Reeves BC, Smith H, Sousa AMM, Cherskov A, Allocco A, Nelson-Williams C, Haider S, Rizvi SRA, Alper SL, Sestan N, Shimelis H, Walsh LK, Lifton RP, Moreno-De-Luca A, Jin SC, Kruszka P, Deniz E, Kahle KT. A novel SMARCC1 BAFopathy implicates neural progenitor epigenetic dysregulation in human hydrocephalus. Brain 2024; 147:1553-1570. [PMID: 38128548 PMCID: PMC10994532 DOI: 10.1093/brain/awad405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 10/01/2023] [Accepted: 10/26/2023] [Indexed: 12/23/2023] Open
Abstract
Hydrocephalus, characterized by cerebral ventriculomegaly, is the most common disorder requiring brain surgery in children. Recent studies have implicated SMARCC1, a component of the BRG1-associated factor (BAF) chromatin remodelling complex, as a candidate congenital hydrocephalus gene. However, SMARCC1 variants have not been systematically examined in a large patient cohort or conclusively linked with a human syndrome. Moreover, congenital hydrocephalus-associated SMARCC1 variants have not been functionally validated or mechanistically studied in vivo. Here, we aimed to assess the prevalence of SMARCC1 variants in an expanded patient cohort, describe associated clinical and radiographic phenotypes, and assess the impact of Smarcc1 depletion in a novel Xenopus tropicalis model of congenital hydrocephalus. To do this, we performed a genetic association study using whole-exome sequencing from a cohort consisting of 2697 total ventriculomegalic trios, including patients with neurosurgically-treated congenital hydrocephalus, that total 8091 exomes collected over 7 years (2016-23). A comparison control cohort consisted of 1798 exomes from unaffected siblings of patients with autism spectrum disorder and their unaffected parents were sourced from the Simons Simplex Collection. Enrichment and impact on protein structure were assessed in identified variants. Effects on the human fetal brain transcriptome were examined with RNA-sequencing and Smarcc1 knockdowns were generated in Xenopus and studied using optical coherence tomography imaging, in situ hybridization and immunofluorescence. SMARCC1 surpassed genome-wide significance thresholds, yielding six rare, protein-altering de novo variants localized to highly conserved residues in key functional domains. Patients exhibited hydrocephalus with aqueductal stenosis; corpus callosum abnormalities, developmental delay, and cardiac defects were also common. Xenopus knockdowns recapitulated both aqueductal stenosis and cardiac defects and were rescued by wild-type but not patient-specific variant SMARCC1. Hydrocephalic SMARCC1-variant human fetal brain and Smarcc1-variant Xenopus brain exhibited a similarly altered expression of key genes linked to midgestational neurogenesis, including the transcription factors NEUROD2 and MAB21L2. These results suggest de novo variants in SMARCC1 cause a novel human BAFopathy we term 'SMARCC1-associated developmental dysgenesis syndrome', characterized by variable presence of cerebral ventriculomegaly, aqueductal stenosis, developmental delay and a variety of structural brain or cardiac defects. These data underscore the importance of SMARCC1 and the BAF chromatin remodelling complex for human brain morphogenesis and provide evidence for a 'neural stem cell' paradigm of congenital hydrocephalus pathogenesis. These results highlight utility of trio-based whole-exome sequencing for identifying pathogenic variants in sporadic congenital structural brain disorders and suggest whole-exome sequencing may be a valuable adjunct in clinical management of congenital hydrocephalus patients.
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Affiliation(s)
- Amrita K Singh
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Garrett Allington
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Genetics, Yale University, New Haven, CT 06510, USA
| | - Stephen Viviano
- Department of Pediatrics, Yale University, New Haven, CT 06510, USA
| | | | - Emre Kiziltug
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shaojie Ma
- Department of Genetics, Yale University, New Haven, CT 06510, USA
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Shujuan Zhao
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Departments of Genetics and Pediatrics, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Kedous Y Mekbib
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - John P Shohfi
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Phan Q Duy
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Tyrone DeSpenza
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Charuta G Furey
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Hannah Smith
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - André M M Sousa
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Adriana Cherskov
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - August Allocco
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
| | | | - Shozeb Haider
- Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, London, WC1N 1AX, UK
- UCL Centre for Advanced Research Computing, University College London, London, WC1H 9RN, UK
| | - Syed R A Rizvi
- Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, London, WC1N 1AX, UK
| | - Seth L Alper
- Division of Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Division of Nephrology and Vascular Biology Research Center, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Nenad Sestan
- Department of Genetics, Yale University, New Haven, CT 06510, USA
- Department of Pediatrics, Yale University, New Haven, CT 06510, USA
| | - Hermela Shimelis
- Department of Radiology, Neuroradiology section, Kingston Health Sciences Centre, Queen's University Faculty of Health Sciences, Kingston, Ontario, Canada
| | - Lauren K Walsh
- Department of Radiology, Neuroradiology section, Kingston Health Sciences Centre, Queen's University Faculty of Health Sciences, Kingston, Ontario, Canada
| | - Richard P Lifton
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA
| | - Andres Moreno-De-Luca
- Department of Radiology, Neuroradiology section, Kingston Health Sciences Centre, Queen's University Faculty of Health Sciences, Kingston, Ontario, Canada
- Department of Radiology, Diagnostic Medicine Institute, Geisinger, Danville, PA, 17822, USA
| | - Sheng Chih Jin
- Departments of Genetics and Pediatrics, Washington University School of Medicine, St Louis, MO 63110, USA
| | | | - Engin Deniz
- Department of Pediatrics, Yale University, New Haven, CT 06510, USA
| | - Kristopher T Kahle
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
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4
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Mustafa HJ, Barbera JP, Sambatur EV, Pagani G, Yaron Y, Baptiste CD, Wapner RJ, Brewer CJ, Khalil A. Diagnostic yield of exome sequencing in prenatal agenesis of corpus callosum: systematic review and meta-analysis. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:312-320. [PMID: 37519216 DOI: 10.1002/uog.27440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 06/25/2023] [Accepted: 07/07/2023] [Indexed: 08/01/2023]
Abstract
OBJECTIVES To determine the incremental diagnostic yield of exome sequencing (ES) after negative chromosomal microarray analysis (CMA) in cases of prenatally diagnosed agenesis of the corpus callosum (ACC) and to identify the associated genes and variants. METHODS A systematic search was performed to identify relevant studies published up until June 2022 using four databases: PubMed, SCOPUS, Web of Science and The Cochrane Library. Studies in English reporting on the diagnostic yield of ES following negative CMA in prenatally diagnosed partial or complete ACC were included. Authors of cohort studies were contacted for individual participant data and extended cohorts were provided for two of them. The increase in diagnostic yield with ES for pathogenic/likely pathogenic (P/LP) variants was assessed in all cases of ACC, isolated ACC, ACC with other cranial anomalies and ACC with extracranial anomalies. To identify all reported genetic variants, the systematic review included all ACC cases; however, for the meta-analysis, only studies with ≥ three ACC cases were included. Meta-analysis of proportions was employed using a random-effects model. Quality assessment of the included studies was performed using modified Standards for Reporting of Diagnostic Accuracy criteria. RESULTS A total of 28 studies, encompassing 288 prenatally diagnosed ACC cases that underwent ES following negative CMA, met the inclusion criteria of the systematic review. We classified 116 genetic variants in 83 genes associated with prenatal ACC with a full phenotypic description. There were 15 studies, encompassing 268 cases, that reported on ≥ three ACC cases and were included in the meta-analysis. Of all the included cases, 43% had a P/LP variant on ES. The highest yield was for ACC with extracranial anomalies (55% (95% CI, 35-73%)), followed by ACC with other cranial anomalies (43% (95% CI, 30-57%)) and isolated ACC (32% (95% CI, 18-51%)). CONCLUSIONS ES demonstrated an incremental diagnostic yield in cases of prenatally diagnosed ACC following negative CMA. While the greatest diagnostic yield was observed in ACC with extracranial anomalies and ACC with other central nervous system anomalies, ES should also be considered in cases of isolated ACC. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- H J Mustafa
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Riley Children and Indiana University Health Fetal Center, Indianapolis, IN, USA
| | - J P Barbera
- Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
| | - E V Sambatur
- Research Division, Houston Center for Maternal Fetal Medicine, Houston, TX, USA
| | - G Pagani
- Maternal Fetal Medicine Unit, Department of Obstetrics and Gynecology, ASST-Papa Giovanni XXIII, Bergamo, Italy
| | - Y Yaron
- Prenatal Genetic Diagnosis Unit, Genetics Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - C D Baptiste
- Obstetrics and Gynecology, Reproductive Genetics, Columbia University Medical Center, New York, NY, USA
| | - R J Wapner
- Obstetrics and Gynecology, Reproductive Genetics, Columbia University Medical Center, New York, NY, USA
| | - C J Brewer
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - A Khalil
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
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5
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Greenberg ABW, Mehta NH, Allington G, Jin SC, Moreno-De-Luca A, Kahle KT. Molecular Diagnostic Yield of Exome Sequencing in Patients With Congenital Hydrocephalus: A Systematic Review and Meta-Analysis. JAMA Netw Open 2023; 6:e2343384. [PMID: 37991765 PMCID: PMC10665979 DOI: 10.1001/jamanetworkopen.2023.43384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/29/2023] [Indexed: 11/23/2023] Open
Abstract
Importance Exome sequencing (ES) has been established as the preferred first line of diagnostic testing for certain neurodevelopmental disorders, such as global developmental delay and autism spectrum disorder; however, current recommendations are not specific to or inclusive of congenital hydrocephalus (CH). Objective To determine the diagnostic yield of ES in CH and whether ES should be considered as a first line diagnostic test for CH. Data Sources PubMed, Cochrane Library, and Google Scholar were used to identify studies published in English between January 1, 2010, and April 10, 2023. The following search terms were used to identify studies: congenital hydrocephalus, ventriculomegaly, cerebral ventriculomegaly, primary ventriculomegaly, fetal ventriculomegaly, prenatal ventriculomegaly, molecular analysis, genetic cause, genetic etiology, genetic testing, exome sequencing, whole exome sequencing, genome sequencing, microarray, microarray analysis, and copy number variants. Study Selection Eligible studies included those with at least 10 probands with the defining feature of CH and/or severe cerebral ventriculomegaly that had undergone ES. Studies with fewer than 10 probands, studies of mild or moderate ventriculomegaly, and studies using genetic tests other than ES were excluded. A full-text review of 68 studies was conducted by 2 reviewers. Discrepancies were resolved by consensus. Data Extraction and Synthesis Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and Meta-Analysis of Observational Studies in Epidemiology guidelines were used by 2 reviewers to extract data. Data were synthesized using a random-effects model of single proportions. Data analysis occurred in April 2023. Main Outcomes and Measures The primary outcome was pooled diagnostic yield. Additional diagnostic yields were estimated for specific subgroups on the basis of clinical features, syndromic presentation, and parental consanguinity. For each outcome, a 95% CI and estimate of interstudy heterogeneity (I2 statistic) was reported. Results From 498 deduplicated and screened records, 9 studies with a total of 538 CH probands were selected for final inclusion. The overall diagnostic yield was 37.9% (95% CI, 20.0%-57.4%; I2 = 90.1). The yield was lower for isolated and/or nonsyndromic cases (21.3%; 95% CI, 12.8%-31.0%; I2 = 55.7). The yield was higher for probands with reported consanguinity (76.3%; 95% CI, 65.1%-86.1%; I2 = 0) than those without (16.2%; 95% CI, 12.2%-20.5%; I2 = 0). Conclusions and Relevance In this systematic review and meta-analysis of the diagnostic yield of ES in CH, the diagnostic yield was concordant with that of previous recommendations for other neurodevelopmental disorders, suggesting that ES should also be recommended as a routine diagnostic adjunct for patients with CH.
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Affiliation(s)
| | - Neel H. Mehta
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Garrett Allington
- Department of Neurosurgery, Massachusetts General Hospital, Boston
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Sheng Chih Jin
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri
- Department of Pediatrics, Washington University School of Medicine, St Louis, Missouri
| | - Andrés Moreno-De-Luca
- Department of Radiology, Neuroradiology Section, Kingston Health Sciences Centre, Queen’s University Faculty of Health Sciences, Kingston, Ontario, Canada
| | - Kristopher T. Kahle
- Department of Neurosurgery, Massachusetts General Hospital, Boston
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Harvard Center for Hydrocephalus and Neurodevelopmental Disorders, Massachusetts General Hospital, Boston
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Mustafa HJ, Sambatur EV, Barbera JP, Pagani G, Yaron Y, Baptiste CD, Wapner RJ, Khalil A. Diagnostic yield with exome sequencing in prenatal severe bilateral ventriculomegaly: a systematic review and meta-analysis. Am J Obstet Gynecol MFM 2023; 5:101048. [PMID: 37311485 DOI: 10.1016/j.ajogmf.2023.101048] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 06/05/2023] [Indexed: 06/15/2023]
Abstract
OBJECTIVE This study aimed to determine the incremental diagnostic yield of prenatal exome sequencing after negative chromosomal microarray analysis results in prenatally diagnosed bilateral severe ventriculomegaly or hydrocephalus; another objective was to categorize the associated genes and variants. DATA SOURCES A systematic search was performed to identify relevant studies published until June 2022 using 4 databases (Cochrane Library, Web of Science, Scopus, and MEDLINE). STUDY ELIGIBILITY CRITERIA Studies in English reporting on the diagnostic yield of exome sequencing following negative chromosomal microarray analysis results in cases of prenatally diagnosed bilateral severe ventriculomegaly were included. METHODS Authors of cohort studies were contacted for individual participant data, and 2 studies provided their extended cohort data. The incremental diagnostic yield of exome sequencing was assessed for pathogenic/likely pathogenic findings in cases of: (1) all severe ventriculomegaly; (2) isolated severe ventriculomegaly (as the only cranial anomaly); (3) severe ventriculomegaly with other cranial anomalies; and (4) nonisolated severe ventriculomegaly (with extracranial anomalies). To be able to identify all reported genetic associations, the systematic review portion was not limited to any minimal severe ventriculomegaly case numbers; however, for the synthetic meta-analysis, we included studies with ≥3 severe ventriculomegaly cases. Meta-analysis of proportions was done using a random-effects model. Quality assessment of the included studies was performed using the modified STARD (Standards for Reporting of Diagnostic Accuracy Studies) criteria. RESULTS A total of 28 studies had 1988 prenatal exome sequencing analyses performed following negative chromosomal microarray analysis results for various prenatal phenotypes; this included 138 cases with prenatal bilateral severe ventriculomegaly. We categorized 59 genetic variants in 47 genes associated with prenatal severe ventriculomegaly along with their full phenotypic description. There were 13 studies reporting on ≥3 severe ventriculomegaly cases, encompassing 117 severe ventriculomegaly cases that were included in the synthetic analysis. Of all the included cases, 45% (95% confidence interval, 30-60) had positive pathogenic/likely pathogenic exome sequencing results. The highest yield was for nonisolated cases (presence of extracranial anomalies; 54%; 95% confidence interval, 38-69), followed by severe ventriculomegaly with other cranial anomalies (38%; 95% confidence interval, 22-57) and isolated severe ventriculomegaly (35%; 95% confidence interval, 18-58). CONCLUSION There is an apparent incremental diagnostic yield of prenatal exome sequencing following negative chromosomal microarray analysis results in bilateral severe ventriculomegaly. Although the greatest yield was found in cases of nonisolated severe ventriculomegaly, consideration should also be given to performing exome sequencing in cases of isolated severe ventriculomegaly as the only brain anomaly identified on prenatal imaging.
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Affiliation(s)
- Hiba J Mustafa
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Indiana University School of Medicine, Indianapolis, IN (Dr Mustafa); Fetal Center at Riley Children's Health, Indiana University Health, Indianapolis, IN (Dr Mustafa).
| | - Enaja V Sambatur
- Research Division, Houston Center for Maternal Fetal Medicine, Houston, TX (Ms Sambatur)
| | - Julie P Barbera
- Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA (Ms Barbera)
| | - Giorgio Pagani
- Maternal Fetal Medicine Unit, Department of Obstetrics and Gynecology, ASST Papa Giovanni XXIII, Bergamo, Italy (Dr Pagani)
| | - Yuval Yaron
- Prenatal Genetic Diagnosis Unit, Genetics Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel (Dr Yaron); Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (Dr Yaron)
| | - Caitlin D Baptiste
- Division of Women's Genetics, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY (Drs Baptiste and Wapner)
| | - Ronald J Wapner
- Division of Women's Genetics, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY (Drs Baptiste and Wapner)
| | - Asma Khalil
- Fetal Medicine Unit, St George's Hospital, St George's University of London, London, United Kingdom (Dr Khalil); Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom (Dr Khalil)
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7
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Al-Kouatly HB, Shivashankar K, Mossayebi MH, Makhamreh M, Critchlow E, Gao Z, Fasehun LK, Alkuraya FS, Ryan EE, Hegde M, Wodoslawsky S, Hughes J, Berger SI. Diagnostic yield from prenatal exome sequencing for non-immune hydrops fetalis: A systematic review and meta-analysis. Clin Genet 2023; 103:503-512. [PMID: 36757664 DOI: 10.1111/cge.14309] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/18/2023] [Accepted: 02/06/2023] [Indexed: 02/10/2023]
Abstract
Non-immune hydrops fetalis (NIHF) has multiple genetic etiologies diagnosable by exome sequencing (ES). We evaluated the yield of prenatal ES for NIHF, and the contribution of additional clinical findings and history. Systematic review was performed with PROSPERO tag 232951 using CINAHL, PubMed, and Ovid MEDLINE from January 1, 2000 through December 1, 2021. Selected studies performed ES to augment standard prenatal diagnostic approaches. Cases meeting a strict NIHF phenotype were tabulated with structured data imputed from papers or requested from authors. Genetic variants and diagnostic outcomes were harmonized across studies using current ACMG and ClinGen variant classification guidelines. Thirty-one studies reporting 445 NIHF cases had a 37% (95% CI: 32%-41%) diagnostic rate. There was no significant difference between isolated NIHF and NIHF with fetal malformations or between recurrent and simplex cases. Diagnostic rate was higher for consanguineous than non-consanguineous cases. Disease categories included RASopathies (24%), neuromuscular (21%), metabolic (17%), lymphatic (13%), other syndromes (9%), cardiovascular (5%), hematologic (2%), skeletal (2%), and other categories (7%). Inheritance patterns included recessive (55%), dominant (41%), and X-linked (4%). ES should be considered in the diagnostic workup of NIHF with and without associated ultrasound findings regardless of history of recurrence or consanguinity.
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Affiliation(s)
- Huda B Al-Kouatly
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Kavya Shivashankar
- Department of Obstetrics and Gynecology, University of Illinois College of Medicine, Chicago, Illinois, USA
| | - Matthew H Mossayebi
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Mona Makhamreh
- Department of Obstetrics and Gynecology, Maimonides Medical Center, Brooklyn, New York, USA
| | - Elizabeth Critchlow
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Zimeng Gao
- Department of Obstetrics and Gynecology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Luther-King Fasehun
- Department of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, Pennsylvania, USA
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Erin E Ryan
- Genomic Data / Genetic Counseling, GeneDx, Gaithersburg, Maryland, USA
| | - Madhuri Hegde
- Global Lab Services, PerkinElmer Genomics, Atlanta, Georgia, USA
| | - Sascha Wodoslawsky
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Joel Hughes
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Seth I Berger
- Center for Genetic Medicine Research, Children's National Research Institute, Washington, DC, USA
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8
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Cárcamo B, Masotto B, Baquero-Vaquer A, Ceballos-Saenz D, Zapata-Aldana E. "Cancer in ARID1A-Coffin-Siris syndrome: Review and report of a child with hepatoblastoma". Eur J Med Genet 2022; 65:104600. [PMID: 36049608 DOI: 10.1016/j.ejmg.2022.104600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 05/26/2022] [Accepted: 08/24/2022] [Indexed: 11/21/2022]
Abstract
Coffin-Siris syndrome (CSS) is a rare neurodevelopmental and multisystemic disorder with wide genetic heterogeneity and phenotypic variability caused by pathogenic variants in the BAF complex with 341 cases enrolled in the CSS/BAF-related disorders registry by 2021. Pathogenic variants of ARID1A account for 7-8% of cases with CSS phenotype. Malignancy has been previously reported in six individuals with CSS associated with BAF mutations. Two of these malignancies including one acute lymphoid leukemia and one hepatoblastoma were reported in ARID1A-associated CSS (ARID1A-CSS). Alterations in ARID1A are among the most common molecular aberrations in human cancer. Somatic deletion of 1p and specifically of 1p36.11 containing ARID1A is frequently seen in hepatoblastoma and has been associated with high-risk features. Here we report a child with CSS Phenotype and a novel de novo variant of ARID1A with hepatoblastoma. Because hepatoblastoma has an incidence of 1 per million children, the presence of hepatoblastoma in 2 of 30 known cases of ARID1A-CSS is significant. ARID1A-CSS should be included among the cancer predisposition syndromes associated with an increased risk of hepatoblastoma and tumour surveillance considered for these patients. The role of ARID1A in the pathogenesis and outcome of hepatoblastoma deserves further investigation.
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Affiliation(s)
- Benjamín Cárcamo
- Department of Pediatrics, Division of Pediatric Hematology and Oncology, Paul L. Foster School of Medicine, Texas Tech University Health Science Center El Paso, El Paso, TX, USA; El Paso Children's Hospital, El Paso, TX, USA
| | | | | | - Delia Ceballos-Saenz
- Telethon Children's Rehabilitation Centre (Centro de Rehabilitación e inclusión Infantil Teleton), Guerrero, Mexico
| | - Eugenio Zapata-Aldana
- Telethon Children's Rehabilitation Centre (Centro de Rehabilitación e inclusión Infantil Teleton), Guerrero, Mexico; Medical Genetics, Sistemas Genómicos, Paterna, Spain.
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9
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Fu F, Li R, Yu Q, Wang D, Deng Q, Li L, Lei T, Chen G, Nie Z, Yang X, Han J, Pan M, Zhen L, Zhang Y, Jing X, Li F, Li F, Zhang L, Yi C, Li Y, Lu Y, Zhou H, Cheng K, Li J, Xiang L, Zhang J, Tang S, Fang P, Li D, Liao C. Application of exome sequencing for prenatal diagnosis of fetal structural anomalies: clinical experience and lessons learned from a cohort of 1618 fetuses. Genome Med 2022; 14:123. [PMID: 36307859 PMCID: PMC9615232 DOI: 10.1186/s13073-022-01130-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 10/19/2022] [Indexed: 11/29/2022] Open
Abstract
Background Exome sequencing (ES) is becoming more widely available in prenatal diagnosis. However, data on its clinical utility and integration into clinical management remain limited in practice. Herein, we report our experience implementing prenatal ES (pES) in a large cohort of fetuses with anomalies detected by ultrasonography using a hospital-based in-house multidisciplinary team (MDT) facilitated by a three-step genotype-driven followed by phenotype-driven analysis framework. Methods We performed pES in 1618 fetal cases with positive ultrasound findings but negative for karyotyping and chromosome microarray analysis between January 2014 and October 2021, including both retrospective (n=565) and prospective (n=1053) cohorts. The diagnostic efficiency and its correlation to organ systems involved, phenotypic spectrum, and the clinical impacts of pES results on pregnancy outcomes were analyzed. Results A genotype-driven followed by phenotype-driven three-step approach was carried out in all trio pES. Step 1, a genotype-driven analysis resulted in a diagnostic rate of 11.6% (187/1618). Step 2, a phenotype-driven comprehensive analysis yielded additional diagnostic findings for another 28 cases (1.7%; 28/1618). In the final step 3, data reanalyses based on new phenotypes and/or clinical requests found molecular diagnosis in 14 additional cases (0.9%; 14/1618). Altogether, 229 fetal cases (14.2%) received a molecular diagnosis, with a higher positive rate in the retrospective than the prospective cohort (17.3% vs. 12.4%, p<0.01). The diagnostic rates were highest in fetuses with skeletal anomalies (30.4%) and multiple organ involvements (25.9%), and lowest in fetuses with chest anomalies (0%). In addition, incidental and secondary findings with childhood-onset disorders were detected in 11 (0.7%) cases. Furthermore, we described the prenatal phenotypes for the first time for 27 gene-associated conditions (20.0%, 27/135) upon a systematic analysis of the diagnosed cases and expanded the phenotype spectrum for 26 (19.3%) genes where limited fetal phenotypic information was available. In the prospective cohort, the combined prenatal ultrasound and pES results had significantly impacted the clinical decisions (61.5%, 648/1053). Conclusions The genotype-driven approach could identify about 81.7% positive cases (11.6% of the total cohort) with the initial limited fetal phenotype information considered. The following two steps of phenotype-driven analysis and data reanalyses helped us find the causative variants in an additional 2.6% of the entire cohort (18.3% of all positive findings). Our extensive phenotype analysis on a large number of molecularly confirmed prenatal cases had greatly enriched our current knowledge on fetal phenotype-genotype correlation, which may guide more focused prenatal ultrasound in the future. This is by far the largest pES cohort study that combines a robust trio sequence data analysis, systematic phenotype-genotype correlation, and well-established MDT in a single prenatal clinical setting. This work underlines the value of pES as an essential component in prenatal diagnosis in guiding medical management and parental decision making. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-022-01130-x.
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10
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van der Sluijs PJ, Joosten M, Alby C, Attié-Bitach T, Gilmore K, Dubourg C, Fradin M, Wang T, Kurtz-Nelson EC, Ahlers KP, Arts P, Barnett CP, Ashfaq M, Baban A, van den Born M, Borrie S, Busa T, Byrne A, Carriero M, Cesario C, Chong K, Cueto-González AM, Dempsey JC, Diderich KEM, Doherty D, Farholt S, Gerkes EH, Gorokhova S, Govaerts LCP, Gregersen PA, Hickey SE, Lefebvre M, Mari F, Martinovic J, Northrup H, O'Leary M, Parbhoo K, Patrier S, Popp B, Santos-Simarro F, Stoltenburg C, Thauvin-Robinet C, Thompson E, Vulto-van Silfhout AT, Zahir FR, Scott HS, Earl RK, Eichler EE, Vora NL, Wilnai Y, Giordano JL, Wapner RJ, Rosenfeld JA, Haak MC, Santen GWE. Discovering a new part of the phenotypic spectrum of Coffin-Siris syndrome in a fetal cohort. Genet Med 2022; 24:1753-1760. [PMID: 35579625 PMCID: PMC9378544 DOI: 10.1016/j.gim.2022.04.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 04/04/2022] [Accepted: 04/04/2022] [Indexed: 02/07/2023] Open
Abstract
PURPOSE Genome-wide sequencing is increasingly being performed during pregnancy to identify the genetic cause of congenital anomalies. The interpretation of prenatally identified variants can be challenging and is hampered by our often limited knowledge of prenatal phenotypes. To better delineate the prenatal phenotype of Coffin-Siris syndrome (CSS), we collected clinical data from patients with a prenatal phenotype and a pathogenic variant in one of the CSS-associated genes. METHODS Clinical data was collected through an extensive web-based survey. RESULTS We included 44 patients with a variant in a CSS-associated gene and a prenatal phenotype; 9 of these patients have been reported before. Prenatal anomalies that were frequently observed in our cohort include hydrocephalus, agenesis of the corpus callosum, hypoplastic left heart syndrome, persistent left vena cava, diaphragmatic hernia, renal agenesis, and intrauterine growth restriction. Anal anomalies were frequently identified after birth in patients with ARID1A variants (6/14, 43%). Interestingly, pathogenic ARID1A variants were much more frequently identified in the current prenatal cohort (16/44, 36%) than in postnatal CSS cohorts (5%-9%). CONCLUSION Our data shed new light on the prenatal phenotype of patients with pathogenic variants in CSS genes.
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Affiliation(s)
| | - Marieke Joosten
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Caroline Alby
- Department of Histo-Embryology and Cytogenetics, Necker-Enfants Malades Hospital, AP-HP, Paris, France; National Institute of Health and Medical Research (INSERM), University of Paris, Imagine Institute, Paris, France
| | - Tania Attié-Bitach
- Department of Histo-Embryology and Cytogenetics, Necker-Enfants Malades Hospital, AP-HP, Paris, France; National Institute of Health and Medical Research (INSERM), University of Paris, Imagine Institute, Paris, France
| | - Kelly Gilmore
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Christele Dubourg
- Department of Molecular Genetics and Genomics, Rennes University Hospital Center (CHU), Rennes, France
| | - Mélanie Fradin
- Department of Clinical Genetics, Centre de Référence Maladies Rares Anomalies du Développement, CHU de Rennes, Rennes, France
| | - Tianyun Wang
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | | | - Kaitlyn P Ahlers
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Peer Arts
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, An Alliance Between SA Pathology and the University of South Australia, Adelaide, South Australia, Australia
| | - Christopher P Barnett
- Paediatric and Reproductive Genetics Unit, Women's and Children's Hospital, North Adelaide, South Australia, Australia; School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Myla Ashfaq
- Department of Pediatrics, Division of Medical Genetics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX
| | - Anwar Baban
- Department of Pediatric Cardiology and Cardiac Surgery, Bambino Gesù Children's Hospital and Research Institute, Scientific Institute for Research, Hospitalization and Healthcare, Rome, Italy
| | - Myrthe van den Born
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Sarah Borrie
- Department of Pediatrics, Division of Medical Genetics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX
| | - Tiffany Busa
- Service de Génétique Médicale, Hôpital de la Timone, APHM, Marseille, France; Department of Medical Genetics, Timone Hospital, APHM, Marseille, France
| | - Alicia Byrne
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, An Alliance Between SA Pathology and the University of South Australia, Adelaide, South Australia, Australia; Australian Genomics, Parkville, Victoria, Australia
| | | | - Claudia Cesario
- Medical Genetics Lab, Bambino Gesù Children's Hospital and Research Institute, Scientific Institute for Research, Hospitalization and Healthcare, Rome, Italy
| | - Karen Chong
- The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics and Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada; Division of Clinical and Metabolic Genetics, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Anna Maria Cueto-González
- Department of Clinical and Molecular Genetics, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | | | - Karin E M Diderich
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Dan Doherty
- Department of Pediatrics, University of Washington, Seattle, WA; Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA
| | - Stense Farholt
- Department of Children and Adolescents, University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Erica H Gerkes
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Svetlana Gorokhova
- Service de Génétique Médicale, Hôpital de la Timone, APHM, Marseille, France; Department of Medical Genetics, Timone Hospital, APHM, Marseille, France; Aix Marseille University, INSERM, Marseille Medical Genetics, U 1251, Marseille, France
| | - Lutgarde C P Govaerts
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Pernille A Gregersen
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark; Pediatrics and Adolescent Medicine, Centre for Rare Diseases, Aarhus University Hospital, Aarhus, Denmark
| | - Scott E Hickey
- Division of Genetic & Genomic Medicine, Nationwide Children's Hospital, Columbus, OH; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH
| | - Mathilde Lefebvre
- Inserm UMR 1231 GAD, Genetics of Developmental Anomalies, F21000 Dijon, France; Functional Unit of Fœtal Pathology, Pathological Anatomy Department, CHR Orleans, Orleans, France
| | | | - Jelena Martinovic
- Department of Histo-Embryology and Cytogenetics, Necker-Enfants Malades Hospital, AP-HP, Paris, France; Unit of Fetal Pathology, Antoine Beclere Hospital, AP-HP, Clamart, France
| | - Hope Northrup
- Department of Pediatrics, Division of Medical Genetics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX
| | - Melanie O'Leary
- Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Kareesma Parbhoo
- Division of Genetic & Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Sophie Patrier
- Department of Pathology, CHU Charles Nicolle, Rouen, France
| | - Bernt Popp
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Fernando Santos-Simarro
- Institute of Medical and Molecular Genetics, Hospital Universitario La Paz, Hospital La Paz Institute for Health Research, Centre for Biomedical Network Research on Rare Diseases, Instituto de Salud Carlos III, Madrid, Spain
| | - Corinna Stoltenburg
- Department of Neuropaediatrics, Charité - Berlin University of Medicine, Berlin, Germany
| | - Christel Thauvin-Robinet
- Inserm UMR 1231 GAD, Genetics of Developmental Anomalies, F21000 Dijon, France; Reference Center for Rare Diseases, « Intellectual Disabilities from rare causes », CHU Dijon Bourgogne, F21000 Dijon, France
| | - Elisabeth Thompson
- Paediatric and Reproductive Genetics Unit, Women's and Children's Hospital, North Adelaide, South Australia, Australia; School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Anneke T Vulto-van Silfhout
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Farah R Zahir
- Department of Medical Genetics, University of British Columbia, Children's and Women's Hospital, Vancouver, British Columbia, Canada
| | - Hamish S Scott
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, An Alliance Between SA Pathology and the University of South Australia, Adelaide, South Australia, Australia; School of Medicine, University of Adelaide, Adelaide, South Australia, Australia; Australian Genomics, Parkville, Victoria, Australia; ACRF Cancer Genomics Facility, Centre for Cancer Biology, An Alliance Between SA Pathology and the University of South Australia, Adelaide, South Australia, Australia
| | - Rachel K Earl
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA; Howard Hughes Medical Institute, University of Washington, Seattle, WA
| | - Neeta L Vora
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Yael Wilnai
- Genetic Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Jessica L Giordano
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Vagelos Medical Center, New York, NY
| | - Ronald J Wapner
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Vagelos Medical Center, New York, NY
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Baylor Genetics Laboratories, Houston, TX
| | - Monique C Haak
- Department of Obstetrics and Fetal Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Gijs W E Santen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
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Same performance of exome sequencing before and after fetal autopsy for congenital abnormalities: toward a paradigm shift in prenatal diagnosis? Eur J Hum Genet 2022; 30:967-975. [PMID: 35577939 PMCID: PMC9349205 DOI: 10.1038/s41431-022-01117-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 03/05/2022] [Accepted: 04/19/2022] [Indexed: 12/14/2022] Open
Abstract
Prenatal exome sequencing could be complex because of limited phenotypical data compared to postnatal/portmortem phenotype in fetuses affected by multiple congenital abnormalities (MCA). Here, we investigated limits of prenatal phenotype for ES interpretation thanks to a blindly reanalysis of postmortem ES data using prenatal data only in fetuses affected by MCA and harboring a (likely)pathogenic variant or a variant of unknown significance (VUS). Prenatal ES identified all causative variant previously reported by postmortem ES (22/24 (92%) and 2/24 (8%) using solo-ES and trio-ES respectively). Prenatal ES identified 5 VUS (in four fetuses). Two of them have been previously reported by postmortem ES. Prenatal ES were negative for four fetuses for which a VUS were diagnosed after autopsy. Our study suggests that prenatal phenotype is not a limitation for implementing pES in the prenatal assessment of unsolved MCA to personalize fetal medicine and could influence indication of postmortem examination.
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12
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Implementation of Exome Sequencing in Prenatal Diagnosis and Impact on Genetic Counseling: The Polish Experience. Genes (Basel) 2022; 13:genes13050724. [PMID: 35627109 PMCID: PMC9140952 DOI: 10.3390/genes13050724] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/18/2022] [Accepted: 04/19/2022] [Indexed: 11/23/2022] Open
Abstract
Background: Despite advances in routine prenatal cytogenetic testing, most anomalous fetuses remain without a genetic diagnosis. Exome sequencing (ES) is a molecular technique that identifies sequence variants across protein-coding regions and is now increasingly used in clinical practice. Fetal phenotypes differ from postnatal and, therefore, prenatal ES interpretation requires a large amount of data deriving from prenatal testing. The aim of our study was to present initial results of the implementation of ES to prenatal diagnosis in Polish patients and to discuss its possible clinical impact on genetic counseling. Methods: In this study we performed a retrospective review of all fetal samples referred to our laboratory for ES from cooperating centers between January 2017 and June 2021. Results: During the study period 122 fetuses were subjected to ES at our institution. There were 52 abnormal ES results: 31 in the group of fetuses with a single organ system anomaly and 21 in the group of fetuses with multisystem anomalies. The difference between groups was not statistically significant. There were 57 different pathogenic or likely pathogenic variants reported in 33 different genes. The most common were missense variants. In 17 cases the molecular diagnosis had an actual clinical impact on subsequent pregnancies or other family members. Conclusions: Exome sequencing increases the detection rate in fetuses with structural anomalies and improves genetic counseling for both the affected couple and their relatives.
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13
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Smogavec M, Gerykova Bujalkova M, Lehner R, Neesen J, Behunova J, Yerlikaya-Schatten G, Reischer T, Altmann R, Weis D, Duba HC, Laccone F. Singleton exome sequencing of 90 fetuses with ultrasound anomalies revealing novel disease-causing variants and genotype-phenotype correlations. Eur J Hum Genet 2022; 30:428-438. [PMID: 34974531 PMCID: PMC8991249 DOI: 10.1038/s41431-021-01012-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 10/25/2021] [Accepted: 11/15/2021] [Indexed: 11/08/2022] Open
Abstract
Exome sequencing has been increasingly implemented in prenatal genetic testing for fetuses with morphological abnormalities but normal rapid aneuploidy detection and microarray analysis. We present a retrospective study of 90 fetuses with different abnormal ultrasound findings, in which we employed the singleton exome sequencing (sES; 75 fetuses) or to a lesser extent (15 fetuses) a multigene panel analysis of 6713 genes as a primary tool for the detection of monogenic diseases. The detection rate of pathogenic or likely pathogenic variants in this study was 34.4%. The highest diagnostic rate of 56% was in fetuses with multiple anomalies, followed by cases with skeletal or renal abnormalities (diagnostic rate of 50%, respectively). We report 20 novel disease-causing variants in different known disease-associated genes and new genotype-phenotype associations for the genes KMT2D, MN1, CDK10, and EXOC3L2. Based on our data, we postulate that sES of fetal index cases with a concurrent sampling of parental probes for targeted testing of the origin of detected fetal variants could be a suitable tool to obtain reliable and rapid prenatal results, particularly in situations where a trio analysis is not possible.
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Affiliation(s)
- Mateja Smogavec
- Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
| | | | - Reinhard Lehner
- Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria
| | - Jürgen Neesen
- Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria
| | - Jana Behunova
- Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria
| | - Gülen Yerlikaya-Schatten
- Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria
| | - Theresa Reischer
- Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria
| | - Reinhard Altmann
- Department of Prenatal Medicine, Kepler University Hospital, School of Medicine, Johannes Kepler University, Linz, Austria
| | - Denisa Weis
- Department of Medical Genetics, Kepler University Hospital, School of Medicine, Johannes Kepler University, Linz, Austria
| | - Hans-Christoph Duba
- Department of Medical Genetics, Kepler University Hospital, School of Medicine, Johannes Kepler University, Linz, Austria
| | - Franco Laccone
- Institute of Medical Genetics, Medical University of Vienna, Vienna, Austria
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Mastromoro G, Guadagnolo D, Khaleghi Hashemian N, Marchionni E, Traversa A, Pizzuti A. Molecular Approaches in Fetal Malformations, Dynamic Anomalies and Soft Markers: Diagnostic Rates and Challenges-Systematic Review of the Literature and Meta-Analysis. Diagnostics (Basel) 2022; 12:575. [PMID: 35328129 PMCID: PMC8947110 DOI: 10.3390/diagnostics12030575] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/11/2022] [Accepted: 02/21/2022] [Indexed: 02/06/2023] Open
Abstract
Fetal malformations occur in 2-3% of pregnancies. They require invasive procedures for cytogenetics and molecular testing. "Structural anomalies" include non-transient anatomic alterations. "Soft markers" are often transient minor ultrasound findings. Anomalies not fitting these definitions are categorized as "dynamic". This meta-analysis aims to evaluate the diagnostic yield and the rates of variants of uncertain significance (VUSs) in fetuses undergoing molecular testing (chromosomal microarray (CMA), exome sequencing (ES), genome sequencing (WGS)) due to ultrasound findings. The CMA diagnostic yield was 2.15% in single soft markers (vs. 0.79% baseline risk), 3.44% in multiple soft markers, 3.66% in single structural anomalies and 8.57% in multiple structural anomalies. Rates for specific subcategories vary significantly. ES showed a diagnostic rate of 19.47%, reaching 27.47% in multiple structural anomalies. WGS data did not allow meta-analysis. In fetal structural anomalies, CMA is a first-tier test, but should be integrated with karyotype and parental segregations. In this class of fetuses, ES presents a very high incremental yield, with a significant VUSs burden, so we encourage its use in selected cases. Soft markers present heterogeneous CMA results from each other, some of them with risks comparable to structural anomalies, and would benefit from molecular analysis. The diagnostic rate of multiple soft markers poses a solid indication to CMA.
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Affiliation(s)
- Gioia Mastromoro
- Department of Experimental Medicine, Policlinico Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy; (D.G.); (N.K.H.); (E.M.); (A.T.); (A.P.)
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15
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Mellis R, Oprych K, Scotchman E, Hill M, Chitty LS. Diagnostic yield of exome sequencing for prenatal diagnosis of fetal structural anomalies: A systematic review and meta-analysis. Prenat Diagn 2022; 42:662-685. [PMID: 35170059 PMCID: PMC9325531 DOI: 10.1002/pd.6115] [Citation(s) in RCA: 73] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 11/10/2022]
Abstract
Objectives We conducted a systematic review and meta‐analysis to determine the diagnostic yield of exome sequencing (ES) for prenatal diagnosis of fetal structural anomalies, where karyotype/chromosomal microarray (CMA) is normal. Methods Following electronic searches of four databases, we included studies with ≥10 structurally abnormal fetuses undergoing ES or whole genome sequencing. The incremental diagnostic yield of ES over CMA/karyotype was calculated and pooled in a meta‐analysis. Sub‐group analyses investigated effects of case selection and fetal phenotype on diagnostic yield. Results We identified 72 reports from 66 studies, representing 4350 fetuses. The pooled incremental yield of ES was 31% (95% confidence interval (CI) 26%–36%, p < 0.0001). Diagnostic yield was significantly higher for cases pre‐selected for likelihood of monogenic aetiology compared to unselected cases (42% vs. 15%, p < 0.0001). Diagnostic yield differed significantly between phenotypic sub‐groups, ranging from 53% (95% CI 42%–63%, p < 0.0001) for isolated skeletal abnormalities, to 2% (95% CI 0%–5%, p = 0.04) for isolated increased nuchal translucency. Conclusion Prenatal ES provides a diagnosis in an additional 31% of structurally abnormal fetuses when CMA/karyotype is non‐diagnostic. The expected diagnostic yield depends on the body system(s) affected and can be optimised by pre‐selection of cases following multi‐disciplinary review to determine that a monogenic cause is likely.
What's already known about this topic?
Prenatal exome sequencing (ES) increases genetic diagnoses in fetuses with structural abnormalities and a normal karyotype and chromosomal microarray. Published diagnostic yields from ES are varied and may be influenced by study size, case selection and fetal phenotype.
What does this study add?
This study provides a comprehensive systematic review of the literature to date and investigates the diagnostic yield of ES for a range of isolated system anomalies, to support clinical decision‐making on how to offer prenatal ES.
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Affiliation(s)
- Rhiannon Mellis
- North Thames Genomic Laboratory HubGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
- Genetics and Genomic MedicineUCL Great Ormond Street Institute of Child HealthLondonUK
| | | | - Elizabeth Scotchman
- North Thames Genomic Laboratory HubGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
| | - Melissa Hill
- North Thames Genomic Laboratory HubGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
- Genetics and Genomic MedicineUCL Great Ormond Street Institute of Child HealthLondonUK
| | - Lyn S Chitty
- North Thames Genomic Laboratory HubGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
- Genetics and Genomic MedicineUCL Great Ormond Street Institute of Child HealthLondonUK
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Slavotinek A, Lefebvre M, Brehin AC, Thauvin C, Patrier S, Sparks TN, Norton M, Yu J, Huang E. Prenatal presentation of multiple anomalies associated with haploinsufficiency for ARID1A. Eur J Med Genet 2022; 65:104407. [PMID: 34942405 PMCID: PMC9162882 DOI: 10.1016/j.ejmg.2021.104407] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 11/04/2021] [Accepted: 12/14/2021] [Indexed: 02/03/2023]
Abstract
The ARID1A gene is an infrequent cause of Coffin-Siris syndrome (CSS) and has been associated with severe to profound developmental delays and hypotonia in addition to characteristic craniofacial and digital findings. We present three fetuses and a male neonate with ventriculomegaly/hydrocephalus, absence of the corpus callosum (ACC), cerebellar hypoplasia, retinal dysplasia, lung lobulation defects, renal dysplasia, imperforate or anteriorly placed anus, thymus hypoplasia and a single umbilical artery. Facial anomalies included downslanting palpebral fissures, wide-spaced eyes, low-set and posteriorly rotated ears, a small jaw, widely spaced nipples and hypoplastic nails. All fetuses had heterozygous variants predicting premature protein truncation in ARID1A (c.4886dup:p.Val1630Cysfs*18; c.4860dup:p.Pro1621Thrfs*27; and c.175G>T:p.Glu59*) and the baby's microarray demonstrated mosaicism for a deletion at chromosome 1p36.11 (arr[GRCh37] 1p36.11(26,797,508_27,052,080)×1∼2), that contained the first exon of ARID1A. Although malformations, in particular ACC, have been described with CSS caused by pathogenic variants in ARID1A, prenatal presentations associated with this gene are rare. Retinal dysplasia, lung lobulation defects and absent thymus were novel findings in association with ARID1A variants. Studies in cancer have demonstrated that pathogenic ARID1A variants hamper nuclear import of the protein and/or affect interaction with the subunits of SWI/SNF complex, resulting in dysregulation of the PI3K/AKT pathway and perturbed PTEN and PIKC3A signaling. As haploinsufficiency for PTEN and PIKC3A can be associated with ventriculomegaly/hydrocephalus, aberrant expression of these genes is a putative mechanism for the brain malformations demonstrated in patients with ARID1A variants.
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Affiliation(s)
- Anne Slavotinek
- Dept. Pediatrics, University of California San Francisco, San Francisco, CA, 94143, USA, Corresponding author. (A. Slavotinek)
| | - Mathilde Lefebvre
- UFR Des Sciences de Santé, INSERM-Université de Bourgogne UMR1231, Génétique des Anomalies du Développement, Dijon, France
| | | | - Christel Thauvin
- UFR Des Sciences de Santé, INSERM-Université de Bourgogne UMR1231, Génétique des Anomalies du Développement, Dijon, France
| | - Sophie Patrier
- Department of Pathology, CHU Rouen, F-76000, Rouen, France
| | - Teresa N. Sparks
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Mary Norton
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Jingwei Yu
- Dept. Cytogenetics, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Eric Huang
- Dept. Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
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