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Wang T, Yan Z, Zhang Y, Lou Z, Zheng X, Mai D, Wang Y, Shang X, Xiao B, Peng J, Chen J. postGWAS: A web server for deciphering the causality post the genome-wide association studies. Comput Biol Med 2024; 171:108108. [PMID: 38359659 DOI: 10.1016/j.compbiomed.2024.108108] [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: 12/01/2023] [Revised: 01/23/2024] [Accepted: 02/04/2024] [Indexed: 02/17/2024]
Abstract
While genome-wide association studies (GWAS) have unequivocally identified vast disease susceptibility variants, a majority of them are situated in non-coding regions and are in high linkage disequilibrium (LD). To pave the way of translating GWAS signals to clinical drug targets, it is essential to identify the underlying causal variants and further causal genes. To this end, a myriad of post-GWAS methods have been devised, each grounded in distinct principles including fine-mapping, co-localization, and transcriptome-wide association study (TWAS) techniques. Yet, no platform currently exists that seamlessly integrates these diverse post-GWAS methodologies. In this work, we present a user-friendly web server for post-GWAS analysis, that seamlessly integrates 9 distinct methods with 12 models, categorized by fine-mapping, colocalization, and TWAS. The server mainly helps users decipher the causality hindered by complex GWAS signals, including casual variants and casual genes, without the burden of computational skills and complex environment configuration, and provides a convenient platform for post-GWAS analysis, result visualization, facilitating the understanding and interpretation of the genome-wide association studies. The postGWAS server is available at http://g2g.biographml.com/.
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Affiliation(s)
- Tao Wang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Zhihao Yan
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Yiming Zhang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Zhuofei Lou
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Xiaozhu Zheng
- Department of Anesthesiology, The People's Hospital of Yubei District, Chongqing, 401120, China
| | - DuoDuo Mai
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Yongtian Wang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Xuequn Shang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Bing Xiao
- School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Jiajie Peng
- School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China
| | - Jing Chen
- School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.
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2
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Sun BB, Loomis SJ, Pizzagalli F, Shatokhina N, Painter JN, Foley CN, Jensen ME, McLaren DG, Chintapalli SS, Zhu AH, Dixon D, Islam T, Ba Gari I, Runz H, Medland SE, Thompson PM, Jahanshad N, Whelan CD. Genetic map of regional sulcal morphology in the human brain from UK biobank data. Nat Commun 2022; 13:6071. [PMID: 36241887 PMCID: PMC9568560 DOI: 10.1038/s41467-022-33829-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 10/05/2022] [Indexed: 12/24/2022] Open
Abstract
Genetic associations with macroscopic brain structure can provide insights into brain function and disease. However, specific associations with measures of local brain folding are largely under-explored. Here, we conducted large-scale genome- and exome-wide associations of regional cortical sulcal measures derived from magnetic resonance imaging scans of 40,169 individuals in UK Biobank. We discovered 388 regional brain folding associations across 77 genetic loci, with genes in associated loci enriched for expression in the cerebral cortex, neuronal development processes, and differential regulation during early brain development. We integrated brain eQTLs to refine genes for various loci, implicated several genes involved in neurodevelopmental disorders, and highlighted global genetic correlations with neuropsychiatric phenotypes. We provide an interactive 3D visualisation of our summary associations, emphasising added resolution of regional analyses. Our results offer new insights into the genetic architecture of brain folding and provide a resource for future studies of sulcal morphology in health and disease.
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Affiliation(s)
- Benjamin B Sun
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, US.
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| | - Stephanie J Loomis
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, US
| | - Fabrizio Pizzagalli
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, US
| | - Natalia Shatokhina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, US
| | - Jodie N Painter
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Christopher N Foley
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Optima Partners, Edinburgh, UK
| | - Megan E Jensen
- Clinical Sciences, Research & Development, Biogen Inc., Cambridge, MA, US
| | - Donald G McLaren
- Clinical Sciences, Research & Development, Biogen Inc., Cambridge, MA, US
| | | | - Alyssa H Zhu
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, US
| | - Daniel Dixon
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, US
| | - Tasfiya Islam
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, US
| | - Iyad Ba Gari
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, US
| | - Heiko Runz
- Translational Biology, Research & Development, Biogen Inc., Cambridge, MA, US
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, US.
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, US.
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3
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Le Collen L, Delemer B, Spodenkiewicz M, Cornillet Lefebvre P, Durand E, Vaillant E, Badreddine A, Derhourhi M, Mouhoub TA, Jouret G, Juttet P, Souchon PF, Vaxillaire M, Froguel P, Bonnefond A, Doco Fenzy M. Compound genetic etiology in a patient with a syndrome including diabetes, intellectual deficiency and distichiasis. Orphanet J Rare Dis 2022; 17:86. [PMID: 35227307 PMCID: PMC8887189 DOI: 10.1186/s13023-022-02248-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 02/13/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We studied a young woman with atypical diabetes associated with mild intellectual disability, lymphedema distichiasis syndrome (LDS) and polymalformative syndrome including distichiasis. We used different genetic tools to identify causative pathogenic mutations and/or copy number variations. RESULTS Although proband's, diabetes mellitus occurred during childhood, type 1 diabetes was unlikely due to the absence of detectable autoimmunity. DNA microarray analysis first identified a de novo, heterozygous deletion at the chr16q24.2 locus. Previously, thirty-three pathogenic or likely pathogenic deletions encompassing this locus have been reported in patients presenting with intellectual deficiency, obesity and/or lymphedema but not with diabetes. Of note, the deletion encompassed two topological association domains, whose one included FOXC2 that is known to be linked with LDS. Via whole-exome sequencing, we found a heterozygous, likely pathogenic variant in WFS1 (encoding wolframin endoplasmic reticulum [ER] transmembrane glycoprotein) which was inherited from her father who also had diabetes. WFS1 is known to be involved in monogenic diabetes. We also found a likely pathogenic variant in USP9X (encoding ubiquitin specific peptidase 9 X-linked) that is involved in X-linked intellectual disability, which was inherited from her mother who had dyscalculia and dyspraxia. CONCLUSIONS Our comprehensive genetic analysis suggested that the peculiar phenotypes of our patient were possibly due to the combination of multiple genetic causes including chr16q24.2 deletion, and two likely pathogenic variants in WFS1 and USP9X.
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Affiliation(s)
- Lauriane Le Collen
- Department of Endocrinology Diabetology, University Hospital Center of Reims, Reims, France. .,Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France. .,University of Lille, Lille, France. .,Department of Genetic, University Hospital Center of Reims, Reims, France.
| | - Brigitte Delemer
- Department of Endocrinology Diabetology, University Hospital Center of Reims, Reims, France. .,Faculty of Medicine of Reims, CRESTIC EA 3804, University of Reims Champagne Ardenne, Moulin de La Housse, BP 1039, 51687, Reims Cedex 2, France.
| | | | | | - Emmanuelle Durand
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Emmanuel Vaillant
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Alaa Badreddine
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Mehdi Derhourhi
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Tarik Ait Mouhoub
- Department of Genetic, University Hospital Center of Reims, Reims, France
| | - Guillaume Jouret
- Department of Genetic, University Hospital Center of Reims, Reims, France.,Departement of Genetic, 1 rue Louis Rech Dudelange, 3555, Luxembourg, Luxembourg
| | | | | | - Martine Vaxillaire
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Philippe Froguel
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France. .,University of Lille, Lille, France.
| | - Amélie Bonnefond
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France. .,University of Lille, Lille, France.
| | - Martine Doco Fenzy
- Department of Genetic, University Hospital Center of Reims, Reims, France. .,Faculty of Medicine of Reims, EA 3801, URCA, Reims, France.
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4
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Mota A, Waxman HK, Hong R, Lagani GD, Niu SY, Bertherat FL, Wolfe L, Malicdan CM, Markello TC, Adams DR, Gahl WA, Cheng CS, Beffert U, Ho A. FOXR1 regulates stress response pathways and is necessary for proper brain development. PLoS Genet 2021; 17:e1009854. [PMID: 34723967 PMCID: PMC8559929 DOI: 10.1371/journal.pgen.1009854] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 10/01/2021] [Indexed: 11/20/2022] Open
Abstract
The forkhead box (Fox) family of transcription factors are highly conserved and play essential roles in a wide range of cellular and developmental processes. We report an individual with severe neurological symptoms including postnatal microcephaly, progressive brain atrophy and global developmental delay associated with a de novo missense variant (M280L) in the FOXR1 gene. At the protein level, M280L impaired FOXR1 expression and induced a nuclear aggregate phenotype due to protein misfolding and proteolysis. RNAseq and pathway analysis showed that FOXR1 acts as a transcriptional activator and repressor with central roles in heat shock response, chaperone cofactor-dependent protein refolding and cellular response to stress pathways. Indeed, FOXR1 expression is increased in response to cellular stress, a process in which it directly controls HSPA6, HSPA1A and DHRS2 transcripts. The M280L mutant compromises FOXR1's ability to respond to stress, in part due to impaired regulation of downstream target genes that are involved in the stress response pathway. Quantitative PCR of mouse embryo tissues show Foxr1 expression in the embryonic brain. Using CRISPR/Cas9 gene editing, we found that deletion of mouse Foxr1 leads to a severe survival deficit while surviving newborn Foxr1 knockout mice have reduced body weight. Further examination of newborn Foxr1 knockout brains revealed a decrease in cortical thickness and enlarged ventricles compared to littermate wild-type mice, suggesting that loss of Foxr1 leads to atypical brain development. Combined, these results suggest FOXR1 plays a role in cellular stress response pathways and is necessary for normal brain development.
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Affiliation(s)
- Andressa Mota
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
| | - Hannah K. Waxman
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
| | - Rui Hong
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
- Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America
| | - Gavin D. Lagani
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
| | - Sheng-Yong Niu
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
| | - Féodora L. Bertherat
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
| | - Lynne Wolfe
- NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, and National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Christine May Malicdan
- NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, and National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Thomas C. Markello
- NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, and National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - David R. Adams
- NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, and National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - William A. Gahl
- NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, and National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Christine S. Cheng
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
- Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America
| | - Uwe Beffert
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
| | - Angela Ho
- Department of Biology, Boston University, Boston, Massachusetts, United States of America
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5
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Duan M, Zhang L, Wang Y, Fan Y, Liu S, Yu Q, Huang L, Zhou F. Computational pan-cancer characterization of model-based quantitative transcription regulations dysregulated in regional lymph node metastasis. Comput Biol Med 2021; 135:104571. [PMID: 34166881 DOI: 10.1016/j.compbiomed.2021.104571] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 10/21/2022]
Abstract
Cancer is one of the major causes of mortality worldwide. Regional lymph node metastasis is an important mechanism during the spread of human cancers, in which transcription regulation plays an essential role. This study formulated a regression-model-based quantitative transcription regulation (mqTrans) between one mRNA gene and multiple transcription factors (TFs). Computational pan-cancer screening was carried out to detect the quantitative dysregulation of transcription regulation in the regional lymph node metastasis of 18 cancer types. Only a few metastasis-dysregulated mqTrans models were shared among the cancer types. The mRNA genes of the metastasis-dysregulated mqTrans models were not differentially expressed in regional lymph node metastasis. The experimental data suggested that mqTrans technology provided a complementary approach to the evaluation of transcription regulation mechanisms and may facilitate its quantitative investigation in other phenotypes.
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Affiliation(s)
- Meiyu Duan
- College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China
| | - Lei Zhang
- College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China
| | - Yueying Wang
- College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China
| | - Yusi Fan
- College of Software, Jilin University, Changchun, Jilin, 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China
| | - Shuai Liu
- College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China
| | - Qiong Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China
| | - Lan Huang
- College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China
| | - Fengfeng Zhou
- College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China.
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Rengasamy Venugopalan S, Farrow E, Sanchez-Lara PA, Yen S, Lypka M, Jiang S, Allareddy V. A novel nonsense substitution identified in the AMIGO2 gene in an Occulo-Auriculo-Vertebral spectrum patient. Orthod Craniofac Res 2019; 22 Suppl 1:163-167. [PMID: 31074142 DOI: 10.1111/ocr.12259] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 12/19/2018] [Accepted: 12/04/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Craniofacial microsmia is the second most common congenital disorder with mostly unilateral defects of ear, temporomandibular joint, mandible, and muscles of facial expression and mastication. The objective of this study was to identify, if there were any, de novo germline or somatic variants in a patient with Occulo-Auriculo-Vertebral Spectrum (OAVS) using whole-exome sequencing. SETTINGS AND SAMPLE POPULATION Trio/Family-based study of an OAVS proband. MATERIALS AND METHODS Children's Mercy Hospital Institutional Review Board approved this study and a request-to-rely was procured from the University of Missouri Kansas City IRB. Informed assent/consent was obtained for all family members prior to any research activities. The peripheral blood/affected side tissues from corrective surgery of the proband and peripheral blood samples from unaffected parents were collected. The isolated genomic DNA were enriched for exomes and sequenced on an Illlumina HiSeq 2500 instrument yielding paired-end 125 nucleotide reads (84X coverage). Gapped alignment to reference sequences (GRCh37.p5) was performed with BWA and the GATK and analysis completed using custom-developed software. RESULTS Analyses revealed that the proband carried a de novo germ line nonsense substitution (c.901C>T) in AMIGO2 gene, and missense substitutions in ZCCHC14 (c.1198C>T), and in SZT2 genes (c.2951C>T). CONCLUSIONS The nonsense substitution in AMIGO2 gene introduces a premature stop codon possibly rendering the gene non-functional via nonsense-mediated pathway decay-therefore considered a stronger candidate. Further functional studies are required to confirm whether loss-of-function variants in AMIGO2 can cause OAVS.
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Affiliation(s)
| | - Emily Farrow
- Children's Mercy Hospitals, Kansas City, Missouri
| | - Pedro A Sanchez-Lara
- Cedars-Sinai Medical Center, Los Angeles, California.,Children's Hospital Los Angeles, Los Angeles, California
| | - Stephen Yen
- Children's Hospital Los Angeles, Los Angeles, California
| | | | - Shao Jiang
- Children's Mercy Hospitals, Kansas City, Missouri
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7
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Saik OV, Nimaev VV, Usmonov DB, Demenkov PS, Ivanisenko TV, Lavrik IN, Ivanisenko VA. Prioritization of genes involved in endothelial cell apoptosis by their implication in lymphedema using an analysis of associative gene networks with ANDSystem. BMC Med Genomics 2019; 12:47. [PMID: 30871556 PMCID: PMC6417156 DOI: 10.1186/s12920-019-0492-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Currently, more than 150 million people worldwide suffer from lymphedema. It is a chronic progressive disease characterized by high-protein edema of various parts of the body due to defects in lymphatic drainage. Molecular-genetic mechanisms of the disease are still poorly understood. Beginning of a clinical manifestation of primary lymphedema in middle age and the development of secondary lymphedema after treatment of breast cancer can be genetically determined. Disruption of endothelial cell apoptosis can be considered as one of the factors contributing to the development of lymphedema. However, a study of the relationship between genes associated with lymphedema and genes involved in endothelial apoptosis, in the associative gene network was not previously conducted. METHODS In the current work, we used well-known methods (ToppGene and Endeavour), as well as methods previously developed by us, to prioritize genes involved in endothelial apoptosis and to find potential participants of molecular-genetic mechanisms of lymphedema among them. Original methods of prioritization took into account the overrepresented Gene Ontology biological processes, the centrality of vertices in the associative gene network, describing the interactions of endothelial apoptosis genes with genes associated with lymphedema, and the association of the analyzed genes with diseases that are comorbid to lymphedema. RESULTS An assessment of the quality of prioritization was performed using criteria, which involved an analysis of the enrichment of the top-most priority genes by genes, which are known to have simultaneous interactions with lymphedema and endothelial cell apoptosis, as well as by genes differentially expressed in murine model of lymphedema. In particular, among genes involved in endothelial apoptosis, KDR, TNF, TEK, BMPR2, SERPINE1, IL10, CD40LG, CCL2, FASLG and ABL1 had the highest priority. The identified priority genes can be considered as candidates for genotyping in the studies involving the search for associations with lymphedema. CONCLUSIONS Analysis of interactions of these genes in the associative gene network of lymphedema can improve understanding of mechanisms of interaction between endothelial apoptosis and lymphangiogenesis, and shed light on the role of disturbance of these processes in the development of edema, chronic inflammation and connective tissue transformation during the progression of the disease.
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Affiliation(s)
- Olga V. Saik
- Laboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090 Russia
- Novosibirsk State University, st. Pirogova 1, Novosibirsk, 630090 Russia
| | - Vadim V. Nimaev
- Laboratory of Surgical Lymphology and Lymphodetoxication, Research Institute of Clinical and Experimental Lymрhology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, st. Timakova 2, Novosibirsk, 630117 Russia
- Novosibirsk State University, st. Pirogova 1, Novosibirsk, 630090 Russia
| | - Dilovarkhuja B. Usmonov
- Novosibirsk State University, st. Pirogova 1, Novosibirsk, 630090 Russia
- Department of Neurosurgery, Ya. L. Tsivyan Novosibirsk Research Institute of Traumatology and Orthopedics, Ministry of Health of the Russian Federation, st. Frunze 17, Novosibirsk, 630091 Russia
| | - Pavel S. Demenkov
- Laboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090 Russia
- Novosibirsk State University, st. Pirogova 1, Novosibirsk, 630090 Russia
| | - Timofey V. Ivanisenko
- Laboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090 Russia
- Novosibirsk State University, st. Pirogova 1, Novosibirsk, 630090 Russia
| | - Inna N. Lavrik
- Laboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090 Russia
- Translational Inflammation Research, Institute of Experimental Internal Medicine, Otto von Guericke University Magdeburg, Medical Faculty, Pfalzer Platz 28, 39106 Magdeburg, Germany
| | - Vladimir A. Ivanisenko
- Laboratory of Computer-Assisted Proteomics, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090 Russia
- Novosibirsk State University, st. Pirogova 1, Novosibirsk, 630090 Russia
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8
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Application of high-resolution array comparative genomic hybridization in children with unknown syndromic microcephaly. Pediatr Res 2017; 82:253-260. [PMID: 28422950 DOI: 10.1038/pr.2017.65] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Accepted: 03/04/2017] [Indexed: 12/14/2022]
Abstract
BackroundMicrocephaly can either be isolated or it may coexist with other neurological entities and/or multiple congenital anomalies, known as syndromic microcephaly. Although many syndromic cases can be classified based on the characteristic phenotype, some others remain uncertain and require further investigation. The present study describes the application of array-comparative genomic hybridization (array-CGH) as a diagnostic tool for the study of patients with clinically unknown syndromic microcephaly.MethodsFrom a cohort of 210 unrelated patients referred with syndromic microcephaly, we applied array-CGH analysis in 53 undiagnosed cases. In all the 53 cases except one, previous standard karyotype was negative. High-resolution 4 × 180K and 1 × 244K Agilent arrays were used in this study.ResultsIn 25 out of the 53 patients with microcephaly among other phenotypic anomalies, array-CGH revealed copy number variations (CNVs) ranging in size between 15 kb and 31.6 Mb. The identified CNVs were definitely causal for microcephaly in 11/53, probably causal in 7/53, and not causal for microcephaly in 7/53 patients. Genes potentially contributing to brain deficit were revealed in 16/53 patients.ConclusionsArray-CGH contributes to the elucidation of undefined syndromic microcephalic cases by permitting the discovery of novel microdeletions and/or microduplications. It also allows a more precise genotype-phenotype correlation by the accurate definition of the breakpoints in the deleted/duplicated regions.
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Kucharczyk M, Kochański A, Jezela-Stanek A, Kugaudo M, Sielska-Rotblum D, Gutkowska A, Krajewska-Walasek M. The first case of a patient with de novo partial distal 16q tetrasomy and a data's review. Am J Med Genet A 2014; 164A:2541-50. [DOI: 10.1002/ajmg.a.36686] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2012] [Accepted: 06/17/2014] [Indexed: 11/09/2022]
Affiliation(s)
- Marzena Kucharczyk
- Department of Medical Genetics; The Children's Memorial Health Institute; Warsaw Poland
| | - Andrzej Kochański
- Department of Medical Genetics; The Children's Memorial Health Institute; Warsaw Poland
- Neuromuscular Unit; Mossakowski Medical Research Centre; Polish Academy of Sciences; Warsaw Poland
| | | | - Monika Kugaudo
- Department of Medical Genetics; The Children's Memorial Health Institute; Warsaw Poland
- Department of Child and Adolescent Psychiatry; Medical University of Warsaw; Warsaw Poland
| | | | - Anna Gutkowska
- Department of Medical Genetics; The Children's Memorial Health Institute; Warsaw Poland
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Seeley AH, Durham MA, Micale MA, Wesolowski J, Foerster BR, Martin DM. Macrocerebellum, epilepsy, intellectual disability, and gut malrotation in a child with a 16q24.1-q24.2 contiguous gene deletion. Am J Med Genet A 2014; 164A:2062-8. [PMID: 24719385 DOI: 10.1002/ajmg.a.36569] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2013] [Accepted: 03/17/2014] [Indexed: 01/08/2023]
Abstract
Macrocerebellum is a rare condition characterized by enlargement of the cerebellum with conservation of the overall shape and cytoarchitecture. Here, we report on a child with a distinctive constellation of clinical features including macrocerebellum, epilepsy, apparent intellectual disability, dysautonomia, gut malrotation, and poor gut motility. Oligonucleotide chromosome microarray analysis identified a 16q24.1-q24.2 deletion that included four OMIM genes (FBXO31, MAP1LC3B, JPH3, and SLC7A5). Review of prior studies describing individuals with similar or overlapping16q24.1-q24.2 deletions identified no other reports of macrocerebellum. These observations highlight a potential genetic cause of this rare disorder and raise the possibility that one or more gene(s) in the 16q24.1-q24.2 interval regulate cerebellar development.
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Affiliation(s)
- Andrea H Seeley
- Department of Pediatrics and Communicable Diseases, University of Michigan Medical School, Ann Arbor, Michigan
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11
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Ogura Y, Yabuki S, Iida A, Kou I, Nakajima M, Kano H, Shiina M, Kikuchi S, Toyama Y, Ogata K, Nakamura M, Matsumoto M, Ikegawa S. FOXC2 mutations in familial and sporadic spinal extradural arachnoid cyst. PLoS One 2013; 8:e80548. [PMID: 24278289 PMCID: PMC3838418 DOI: 10.1371/journal.pone.0080548] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2013] [Accepted: 10/04/2013] [Indexed: 12/15/2022] Open
Abstract
Spinal extradural arachnoid cyst (SEDAC) is a cyst in the spinal canal that protrudes into the epidural space from a defect in the dura mater. Most cases are sporadic; however, three familial SEDAC cases have been reported, suggesting genetic etiological factors. All familial cases are associated with lymphedema-distichiasis syndrome (LDS), whose causal gene is FOXC2. However, FOXC2 mutation analysis has been performed in only 1 family, and no mutation analysis has been performed on sporadic (non-familial) SEDACs. We recruited 17 SEDAC subjects consisting of 2 familial and 7 sporadic cases and examined FOXC2 mutations by Sanger sequencing and structural abnormalities by TaqMan copy number assay. We identified 2 novel FOXC2 mutations in 2 familial cases. Incomplete LDS penetrance was noted in both families. Four subjects presented with SEDACs only. Thus, SEDAC caused by the heterozygous FOXC2 loss-of-function mutation should be considered a feature of LDS, although it often manifests as the sole symptom. Seven sporadic SEDAC subjects had no FOXC2 mutations, no symptoms of LDS, and showed differing clinical characteristics from those who had FOXC2 mutations, suggesting that other gene(s) besides FOXC2 are likely to be involved in SEDAC.
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Affiliation(s)
- Yoji Ogura
- Laboratory of Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, Japan
- Department of Orthopaedic Surgery, School of Medicine, Keio University, Tokyo, Japan
| | - Shoji Yabuki
- Department of Orthopaedic Surgery, Fukushima Medical University, Fukushima, Japan
| | - Aritoshi Iida
- Laboratory of Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, Japan
| | - Ikuyo Kou
- Laboratory of Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, Japan
| | - Masahiro Nakajima
- Laboratory of Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, Japan
| | - Hiroki Kano
- Laboratory of Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, Japan
| | - Masaaki Shiina
- Department of Biochemistry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Shinichi Kikuchi
- Department of Orthopaedic Surgery, Fukushima Medical University, Fukushima, Japan
| | - Yoshiaki Toyama
- Department of Orthopaedic Surgery, School of Medicine, Keio University, Tokyo, Japan
| | - Kazuhiro Ogata
- Department of Biochemistry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Masaya Nakamura
- Department of Orthopaedic Surgery, School of Medicine, Keio University, Tokyo, Japan
| | - Morio Matsumoto
- Department of Orthopaedic Surgery, School of Medicine, Keio University, Tokyo, Japan
| | - Shiro Ikegawa
- Laboratory of Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, Japan
- * E-mail:
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12
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Verboven CA, Djajadiningrat-Laanen SC, Kitslaar WJP, Grinwis GC, Schoemaker NJ, Boevé MH. Distichiasis in a ferret (Mustela putorius furo). Vet Ophthalmol 2013; 17:290-3. [DOI: 10.1111/vop.12107] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Chantal A.P.M. Verboven
- Section of Ophthalmology; Department of Clinical Sciences of Companion Animals; Faculty of Veterinary Medicine; Utrecht University; Utrecht The Netherlands
| | - Sylvia C. Djajadiningrat-Laanen
- Section of Ophthalmology; Department of Clinical Sciences of Companion Animals; Faculty of Veterinary Medicine; Utrecht University; Utrecht The Netherlands
| | - Willem-Jan P. Kitslaar
- Section of Zoological Medicine; Department of Clinical Sciences of Companion Animals; Faculty of Veterinary Medicine; Utrecht University; Utrecht The Netherlands
| | - Guy C.M. Grinwis
- Section of Pathology; Department of Pathobiology; Faculty of Veterinary Medicine; Utrecht University; Utrecht The Netherlands
| | - Nico J. Schoemaker
- Section of Zoological Medicine; Department of Clinical Sciences of Companion Animals; Faculty of Veterinary Medicine; Utrecht University; Utrecht The Netherlands
| | - Michael H. Boevé
- Section of Ophthalmology; Department of Clinical Sciences of Companion Animals; Faculty of Veterinary Medicine; Utrecht University; Utrecht The Netherlands
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Brouillard P, Boon LM, Revencu N, Berg J, Dompmartin A, Dubois J, Garzon M, Holden S, Kangesu L, Labrèze C, Lynch SA, McKeown C, Meskauskas R, Quere I, Syed S, Vabres P, Wassef M, Mulliken JB, Vikkula M. Genotypes and phenotypes of 162 families with a glomulin mutation. Mol Syndromol 2013; 4:157-64. [PMID: 23801931 DOI: 10.1159/000348675] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2012] [Indexed: 11/19/2022] Open
Abstract
A decade ago, we identified a novel gene, glomulin (GLMN) in which mutations cause glomuvenous malformations (GVMs). GVMs are bluish-purple cutaneous vascular lesions with characteristic glomus cells in the walls of distended venous channels. The discovery of the genetic basis for GVMs allowed the definition of clinical features to distinguish GVMs from other venous anomalies. The variation in phenotype was also highlighted: from a single punctate blue dot to a large plaque-like lesion. In this study, we screened GLMN in a large cohort of patients to broaden the spectrum of mutations, define their frequency and search for possible genotype-phenotype correlations. Taking into account 6 families published by others, a mutation in GLMN has been found in 162 families. This represents 40 different mutations; the most frequent one being present in almost 45% of them. Expressivity varies largely, without a genotype/phenotype relationship. Among 381 individuals with a mutation, we discovered 37 unaffected carriers, implying a penetrance of 90%. As nonpenetrant individuals may transmit the disease to their descendants, knowledge on the mutational status is needed for appropriate genetic counseling.
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Affiliation(s)
- P Brouillard
- Laboratory of Human Molecular Genetics, de Duve Institute, and Centers for
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