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Langeh N, Ansari MT, Kabra M, Gupta N. Split-hand/foot malformation 3 resulting from microduplications in 10q24 region in five patients from India. Am J Med Genet A 2024; 194:e63520. [PMID: 38168117 DOI: 10.1002/ajmg.a.63520] [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: 08/03/2023] [Revised: 12/10/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024]
Abstract
Split-hand/foot malformation (SHFM) is a genetically heterogeneous congenital limb reduction defect characterized by the deficiencies of central rays of the autopod. Tandem duplications at 10q24 locus account for approximately 20% of all SHFM cases. Here, we report five affected individuals from four unrelated Indian families with SHFM3 caused by microduplication of 10q24 locus showing varied clinical presentations. This report substantiates and extends the current understanding of this rare, multifaceted, and complex condition.
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Affiliation(s)
- Nitika Langeh
- Department of Pediatrics, Division of Genetics, AIIMS, New Delhi, India
| | | | - Madhulika Kabra
- Department of Pediatrics, Division of Genetics, AIIMS, New Delhi, India
| | - Neerja Gupta
- Department of Pediatrics, Division of Genetics, AIIMS, New Delhi, India
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Akimova D, Markova T, Ampleeva M, Skoblov M. Variable clinical presentation of split hand/foot malformation syndrome in a family with microduplication of 10q24.32: a case report. Front Genet 2024; 14:1303807. [PMID: 38250576 PMCID: PMC10796452 DOI: 10.3389/fgene.2023.1303807] [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: 09/28/2023] [Accepted: 12/13/2023] [Indexed: 01/23/2024] Open
Abstract
SHFM (Split Hand/Foot Malformation) is a heterogeneous group of disorders characterized by the presence of clefts in the hands and feet, along with syndactyly of the digits. In this article, we describe a family in which two members exhibit characteristic developmental abnormalities associated with SHFM, presenting with variable clinical features. Using whole-genome sequencing, we identified a microduplication of a chromosomal segment on locus 10q24.32, specifically spanning positions 102934495 to 103496555, encompassing genes BTRC, POLL, FBXW4 and LBX1 in the proband. Genomic duplications, including these genes, were previously described in patients diagnosed with the third type of SHFM. We validated the presence of this structural rearrangement in 7 family members, including the proband and the proband's father. Remarkably, further investigation demonstrated that the detected duplication exhibits a mosaic state in the phenotypically normal paternal grandmother of the proband, thereby providing a plausible explanation for the absence of a pathological phenotype in her.
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Affiliation(s)
- Daria Akimova
- Research Centre for Medical Genetics, Moscow, Russia
| | | | - Maria Ampleeva
- Independent Clinical Bioinformatics Laboratory, Moscow, Russia
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Bi X, Liang W, Zhao Q, Wang J. SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology data. Bioinformatics 2023; 39:btad662. [PMID: 37941450 PMCID: PMC10666204 DOI: 10.1093/bioinformatics/btad662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 10/17/2023] [Accepted: 11/03/2023] [Indexed: 11/10/2023] Open
Abstract
MOTIVATION Medical genomics faces significant challenges in interpreting disease phenotype and genetic heterogeneity. Despite the establishment of standardized disease phenotype databases, computational methods for predicting gene-phenotype associations still suffer from imbalanced category distribution and a lack of labeled data in small categories. RESULTS To address the problem of labeled-data scarcity, we propose a self-supervised learning strategy for gene-phenotype association prediction, called SSLpheno. Our approach utilizes an attributed network that integrates protein-protein interactions and gene ontology data. We apply a Laplacian-based filter to ensure feature smoothness and use self-supervised training to optimize node feature representation. Specifically, we calculate the cosine similarity of feature vectors and select positive and negative sample nodes for reconstruction training labels. We employ a deep neural network for multi-label classification of phenotypes in the downstream task. Our experimental results demonstrate that SSLpheno outperforms state-of-the-art methods, especially in categories with fewer annotations. Moreover, our case studies illustrate the potential of SSLpheno as an effective prescreening tool for gene-phenotype association identification. AVAILABILITY AND IMPLEMENTATION https://github.com/bixuehua/SSLpheno.
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Affiliation(s)
- Xuehua Bi
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China
- Medical Engineering and Technology College, Xinjiang Medical University, Urumqi 830017, China
| | - Weiyang Liang
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
| | - Qichang Zhao
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China
| | - Jianxin Wang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China
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Cova G, Glaser J, Schöpflin R, Prada-Medina CA, Ali S, Franke M, Falcone R, Federer M, Ponzi E, Ficarella R, Novara F, Wittler L, Timmermann B, Gentile M, Zuffardi O, Spielmann M, Mundlos S. Combinatorial effects on gene expression at the Lbx1/Fgf8 locus resolve split-hand/foot malformation type 3. Nat Commun 2023; 14:1475. [PMID: 36928426 PMCID: PMC10020157 DOI: 10.1038/s41467-023-37057-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 03/01/2023] [Indexed: 03/18/2023] Open
Abstract
Split-Hand/Foot Malformation type 3 (SHFM3) is a congenital limb malformation associated with tandem duplications at the LBX1/FGF8 locus. Yet, the disease patho-mechanism remains unsolved. Here we investigate the functional consequences of SHFM3-associated rearrangements on chromatin conformation and gene expression in vivo in transgenic mice. We show that the Lbx1/Fgf8 locus consists of two separate, but interacting, regulatory domains. Re-engineering of a SHFM3-associated duplication and a newly reported inversion in mice results in restructuring of the chromatin architecture. This leads to ectopic activation of the Lbx1 and Btrc genes in the apical ectodermal ridge (AER) in an Fgf8-like pattern induced by AER-specific enhancers of Fgf8. We provide evidence that the SHFM3 phenotype is the result of a combinatorial effect on gene misexpression in the developing limb. Our results reveal insights into the molecular mechanism underlying SHFM3 and provide conceptual framework for how genomic rearrangements can cause gene misexpression and disease.
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Affiliation(s)
- Giulia Cova
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany.
- Institute of Medical and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, 10117, Germany.
- Department of Pathology, New York University School of Medicine, Langone Health Medical Center, New York, NY, 10016, USA.
| | - Juliane Glaser
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany
| | - Robert Schöpflin
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany
- Institute of Medical and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, 10117, Germany
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany
| | - Cesar Augusto Prada-Medina
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, OX3 7FY, UK
| | - Salaheddine Ali
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany
- Institute of Medical and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, 10117, Germany
| | - Martin Franke
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany
- Institute of Medical and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, 10117, Germany
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas/Universidad Pablo de Olavide, Seville, 41013, Spain
| | - Rita Falcone
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany
| | - Miriam Federer
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany
- Universität Innsbruck, Innsbruck, 6020, Austria
| | - Emanuela Ponzi
- Medical Genetics Unit, Department of Reproductive Medicine, ASL Bari, Bari, 70131, Italy
| | - Romina Ficarella
- Medical Genetics Unit, Department of Reproductive Medicine, ASL Bari, Bari, 70131, Italy
| | | | - Lars Wittler
- Department of Developmental Genetics, Transgenic Unit, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany
| | - Bernd Timmermann
- Sequencing Core Facility, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany
| | - Mattia Gentile
- Medical Genetics Unit, Department of Reproductive Medicine, ASL Bari, Bari, 70131, Italy
| | - Orsetta Zuffardi
- Department of Molecular Medicine, University of Pavia, Pavia, 27100, Italy
| | - Malte Spielmann
- Institute of Human Genetics, Universitätsklinikum Schleswig Holstein Campus Kiel and Christian-Albrechts-Universität, Kiel, 24118, Germany
- Institute of Human Genetics, University of Lübeck, Lübeck, Germany
- Human Molecular Genomics Group, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany
| | - Stefan Mundlos
- Max Planck Institute for Molecular Genetics, RG Development & Disease, Berlin, 14195, Germany.
- Institute of Medical and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, 10117, Germany.
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité Universitätsmedizin Berlin, Berlin, 13353, Germany.
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Kyriazis Z, Kollia P, Grivea I, Sotiriou S, Dailiana ZH. Genetics of congenital anomalies of the hand. World J Orthop 2022; 13:949-954. [PMID: 36439370 PMCID: PMC9685634 DOI: 10.5312/wjo.v13.i11.949] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/09/2022] [Accepted: 10/14/2022] [Indexed: 11/16/2022] Open
Abstract
Congenital anomalies of the hand are malformations occurring during the development of the human limb, and present as isolated disorders or as a part of a syndrome. During the last years, molecular analysis techniques have offered increasing knowledge about the molecular basis of hand malformations. Disturbances in the signaling pathways during the development of the upper limb result in malformations of the upper extremity. At present, several genes have been identified as responsible for hand anomalies and other have been recognized as suspect genes related to them. Different and new high throughput methods have been introduced for the identification of the gene mutations. In the current editorial, we summarize concisely the current molecular status of isolated hand genetic disorders and the recent progress in molecular genetics, including the genes related to the disorder. This progress improves the knowledge of these disorders and has implications on genetic counselling and prenatal diagnosis.
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Affiliation(s)
- Zisis Kyriazis
- Department of Orthopaedic Surgery, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa 41500, Greece
| | - Panagoula Kollia
- Department of Genetics and Biotechnology, Faculty of Biology, National and Kapodistrian University of Athens, Athens 10679, Greece
| | - Ioanna Grivea
- Department of Paediatrics, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa 41500, Greece
| | - Sotirios Sotiriou
- Laboratory of Histology and Embryology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa 41500, Greece
| | - Zoe H Dailiana
- Department of Orthopaedic Surgery, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa 41500, Greece
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