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Haliloğlu G, Ravenscroft G. The evolving genetic landscape of neuromuscular fetal akinesias. J Neuromuscul Dis 2025:22143602251339357. [PMID: 40356365 DOI: 10.1177/22143602251339357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2025]
Abstract
Fetal akinesia is a broad term used to describe absent (or reduced, fetal hypokinesia) fetal movements, and it can be detected as early as the first trimester. Depending on the developmental age of onset, anything that interferes or limits the normal in utero movement results in a range of deformations affecting multiple organs and organ systems. Arthrogryposis, also termed arthrogryposis multiplex congenita (AMC), is a definitive terminology for multiple congenital contractures, with two major subgroups; amyoplasia and distal arthrogryposis (DA). The spectrum includes fetal akinesia deformation sequence (FADS), lethal congenital contracture syndrome (LCCS), and multiple pterygium syndrome (MPS). Variants in more than >400 genes are known to cause AMC, and it is increasingly recognized that variants in genes encoding critical components (including ventral horn cell, peripheral nerve, neuromuscular junction, skeletal muscle) of the extended motor unit underlie ∼40% of presentations. With unbiased screening approaches, including sequencing of comprehensive disease gene panels, exomes and genomes, novel genes and phenotypic expansions associated with known human disease genes have been uncovered in the setting of fetal akinesia. Autosomal-recessive titinopathy is the most frequent genetic cause of AMC. Accurate genetic diagnosis is critical to genetic counseling and informing family planning. Around 50% remain undiagnosed following comprehensive prenatal, diagnostic or research screening. Comprehensive phenotyping and periodic reanalysis with appropriate genomic tools are valuable strategies when faced with initial inconclusive results. There are likely many novel causative genes still to identify, which will inform our understanding of the molecular pathways underlying early human development and in utero movement.
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Affiliation(s)
- Göknur Haliloğlu
- Division of Pediatric Neurology, Department of Pediatrics, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Gianina Ravenscroft
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Rare Disease Genetics and Functional Genomics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
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Rubin AF, Stone J, Bianchi AH, Capodanno BJ, Da EY, Dias M, Esposito D, Frazer J, Fu Y, Grindstaff SB, Harrington MR, Li I, McEwen AE, Min JK, Moore N, Moscatelli OG, Ong J, Polunina PV, Rollins JE, Rollins NJ, Snyder AE, Tam A, Wakefield MJ, Ye SS, Starita LM, Bryant VL, Marks DS, Fowler DM. MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays. Genome Biol 2025; 26:13. [PMID: 39838450 PMCID: PMC11753097 DOI: 10.1186/s13059-025-03476-y] [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: 07/13/2024] [Accepted: 01/10/2025] [Indexed: 01/23/2025] Open
Abstract
Multiplexed assays of variant effect (MAVEs) are a critical tool for researchers and clinicians to understand genetic variants. Here we describe the 2024 update to MaveDB ( https://www.mavedb.org/ ) with four key improvements to the MAVE community's database of record: more available data including over 7 million variant effect measurements, an improved data model supporting assays such as saturation genome editing, new built-in exploration and visualization tools, and powerful APIs for data federation and streamlined submission and access. Together these changes support MaveDB's role as a hub for the analysis and dissemination of MAVEs now and into the future.
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Affiliation(s)
- Alan F Rubin
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
- Department of Medical Biology, University of Melbourne, Parkville, Australia.
| | - Jeremy Stone
- Brotman Baty Institute for Precision Medicine, Seattle, USA
| | | | | | - Estelle Y Da
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Mafalda Dias
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- University Pompeu Fabra, Barcelona, Spain
| | - Daniel Esposito
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Jonathan Frazer
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- University Pompeu Fabra, Barcelona, Spain
| | - Yunfan Fu
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
| | | | | | - Iris Li
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Abbye E McEwen
- Brotman Baty Institute for Precision Medicine, Seattle, USA
- Department of Genome Sciences, University of Washington, Seattle, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, USA
| | - Joseph K Min
- Department of Genome Sciences, University of Washington, Seattle, USA
| | - Nick Moore
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Olivia G Moscatelli
- Department of Medical Biology, University of Melbourne, Parkville, Australia
- Immunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Jesslyn Ong
- Immunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Microbiology and Immunology, University of Melbourne, Parkville, Australia
| | - Polina V Polunina
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany
| | - Joshua E Rollins
- Department of Computer Science, The Graduate Center, The City University of New York, New York, USA
| | | | | | - Amy Tam
- Department of Systems Biology, Harvard Medical School, Boston, USA
| | - Matthew J Wakefield
- Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
- Department of Obstetrics, Gynaecology and Newborn Health, University of Melbourne, Parkville, Australia
| | - Shenyi Sunny Ye
- Department of Genome Sciences, University of Washington, Seattle, USA
| | - Lea M Starita
- Brotman Baty Institute for Precision Medicine, Seattle, USA
- Department of Genome Sciences, University of Washington, Seattle, USA
| | - Vanessa L Bryant
- Department of Medical Biology, University of Melbourne, Parkville, Australia
- Immunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Clinical Immunology & Allergy, The Royal Melbourne Hospital, Parkville, Australia
| | - Debora S Marks
- Department of Systems Biology, Harvard Medical School, Boston, USA.
- Broad Institute of Harvard and MIT, Boston, USA.
| | - Douglas M Fowler
- Brotman Baty Institute for Precision Medicine, Seattle, USA.
- Department of Genome Sciences, University of Washington, Seattle, USA.
- Department of Bioengineering, University of Washington, Seattle, USA.
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Allen S, Garrett A, Muffley L, Fayer S, Foreman J, Adams DJ, Hurles M, Rubin AF, Roth FP, Starita LM, Biesecker LG, Turnbull C. Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023. Eur J Hum Genet 2024; 32:593-600. [PMID: 38433264 PMCID: PMC11061192 DOI: 10.1038/s41431-024-01566-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/05/2024] [Accepted: 02/08/2024] [Indexed: 03/05/2024] Open
Affiliation(s)
- Sophie Allen
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
| | - Alice Garrett
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- St George's University Hospitals NHS Foundation Trust, Tooting, London, UK
| | - Lara Muffley
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Shawn Fayer
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Julia Foreman
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - David J Adams
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Matthew Hurles
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Alan F Rubin
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia
| | - Frederick P Roth
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Donnelly Centre and Departments of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Lea M Starita
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Leslie G Biesecker
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Clare Turnbull
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
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