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Monogenic conditions and central nervous system anomalies: A prospective study, systematic review and meta-analysis.
Blayney, Gillian V; Laffan, Eoghan; Jacob, Preethi A; Baptiste, Caitlin D; Gabriel, Heinz; Sparks, Teresa N; Yaron, Yuval; Norton, Mary E; Diderich, Karin; Wang, Yiming; Chong, Karen; Chitayat, David; Saini, Neelam; Aggarwal, Shagun; Pauta, Montse; Borrell, Antoni; Gilmore, Kelly; Chandler, Natalie J; Allen, Stephanie; Vora, Neeta; Noor, Abdul; Monaghan, Caitriona; Kilby, Mark D; Wapner, Ronald J; Chitty, Lyn S; Mone, Fionnuala.
Afiliação
  • Blayney GV; Fetal Medicine Department, Royal Jubilee Maternity Service, Belfast Health and Social Care Trust, Belfast, UK.
  • Laffan E; Department of Radiology, Children' Health Ireland at Crumlin, Dublin, Ireland.
  • Jacob PA; Northampton General Hospital, Northampton, UK.
  • Baptiste CD; Columbia University, New York, New York, USA.
  • Gabriel H; Praxis für Humangenetik Tübingen, Tübingen, Germany.
  • Sparks TN; Department of Obstetrics, Gynaecology & Reproductive Sciences, University of California San Francisco, San Francisco, California, USA.
  • Yaron Y; Prenatal Genetic Diagnosis Unit, Genetic Institute, Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Norton ME; Department of Obstetrics, Gynaecology & Reproductive Sciences, University of California San Francisco, San Francisco, California, USA.
  • Diderich K; Department of Clinical Genetics, Erasmus Medical Centre, Rotterdam, the Netherlands.
  • Wang Y; Division of Clinical and Metabolic Genetics, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
  • Chong K; Division of Clinical and Metabolic Genetics, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
  • Chitayat D; The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics & Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Saini N; Division of Clinical and Metabolic Genetics, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
  • Aggarwal S; The Prenatal Diagnosis and Medical Genetics Program, Department of Obstetrics & Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Pauta M; Department of Medical Genetics, Nizam's Institute of Medical Sciences, Hyderabad, India.
  • Borrell A; Department of Medical Genetics, Nizam's Institute of Medical Sciences, Hyderabad, India.
  • Gilmore K; Insitut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), BCNatal, Barcelona, Spain.
  • Chandler NJ; Insitut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), BCNatal, Barcelona, Spain.
  • Allen S; Department of Obstetrics and Gynaecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Vora N; North Thames Genomic Laboratory Hub, NHS Foundation Trust, London, UK.
  • Noor A; West Midlands Regional Genetics Laboratory, South and Central Genomic Laboratory Hub, Birmingham, UK.
  • Monaghan C; Department of Obstetrics and Gynaecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Kilby MD; Division of Diagnostic Medical Genetics, Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada.
  • Wapner RJ; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
  • Chitty LS; Fetal Medicine Department, Royal Jubilee Maternity Service, Belfast Health and Social Care Trust, Belfast, UK.
  • Mone F; Institute of Metabolism and Systems Research, College of Medical & Dental Sciences, University of Birmingham, Birmingham, UK.
Prenat Diagn ; 44(4): 422-431, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38054560
OBJECTIVES: Determine the incremental diagnostic yield of prenatal exome sequencing (pES) over chromosome microarray (CMA) or G-banding karyotype in fetuses with central nervous system (CNS) abnormalities. METHODS: Data were collected via electronic searches from January 2010 to April 2022 in MEDLINE, Cochrane, Web of Science and EMBASE. The NHS England prenatal exome cohort was also included. Incremental yield was calculated as a pooled value using a random-effects model. RESULTS: Thirty studies were included (n = 1583 cases). The incremental yield with pES for any CNS anomaly was 32% [95%CI 27%-36%; I2 = 72%]. Subgroup analysis revealed apparent incremental yields in; (a) isolated CNS anomalies; 27% [95%CI 19%-34%; I2 = 74%]; (b) single CNS anomaly; 16% [95% CI 10%-23%; I2 = 41%]; (c) more than one CNS anomaly; 31% [95% Cl 21%-40%; I2 = 56%]; and (d) the anatomical subtype with the most optimal yield was Type 1 malformation of cortical development, related to abnormal cell proliferation or apoptosis, incorporating microcephalies, megalencephalies and dysplasia; 40% (22%-57%; I2 = 68%). The commonest syndromes in isolated cases were Lissencephaly 3 and X-linked hydrocephalus. CONCLUSIONS: Prenatal exome sequencing provides a high incremental diagnostic yield in fetuses with CNS abnormalities with optimal yields in cases with multiple CNS anomalies, particularly those affecting the midline, posterior fossa and cortex.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrocefalia / Malformações do Sistema Nervoso Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrocefalia / Malformações do Sistema Nervoso Idioma: En Ano de publicação: 2024 Tipo de documento: Article