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Mayfield JM, Hitefield NL, Czajewski I, Vanhye L, Holden L, Morava E, van Aalten DMF, Wells L. O-GlcNAc transferase congenital disorder of glycosylation (OGT-CDG): Potential mechanistic targets revealed by evaluating the OGT interactome. J Biol Chem 2024; 300:107599. [PMID: 39059494 PMCID: PMC11381892 DOI: 10.1016/j.jbc.2024.107599] [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: 10/25/2023] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
O-GlcNAc transferase (OGT) is the sole enzyme responsible for the post-translational modification of O-GlcNAc on thousands of target nucleocytoplasmic proteins. To date, nine variants of OGT that segregate with OGT Congenital Disorder of Glycosylation (OGT-CDG) have been reported and characterized. Numerous additional variants have been associated with OGT-CDG, some of which are currently undergoing investigation. This disorder primarily presents with global developmental delay and intellectual disability (ID), alongside other variable neurological features and subtle facial dysmorphisms in patients. Several hypotheses aim to explain the etiology of OGT-CDG, with a prominent hypothesis attributing the pathophysiology of OGT-CDG to mutations segregating with this disorder disrupting the OGT interactome. The OGT interactome consists of thousands of proteins, including substrates as well as interactors that require noncatalytic functions of OGT. A key aim in the field is to identify which interactors and substrates contribute to the primarily neural-specific phenotype of OGT-CDG. In this review, we will discuss the heterogenous phenotypic features of OGT-CDG seen clinically, the variable biochemical effects of mutations associated with OGT-CDG, and the use of animal models to understand this disorder. Furthermore, we will discuss how previously identified OGT interactors causal for ID provide mechanistic targets for investigation that could explain the dysregulated gene expression seen in OGT-CDG models. Identifying shared or unique altered pathways impacted in OGT-CDG patients will provide a better understanding of the disorder as well as potential therapeutic targets.
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Affiliation(s)
- Johnathan M Mayfield
- Department of Biochemistry and Molecular Biology, Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA
| | - Naomi L Hitefield
- Department of Biochemistry and Molecular Biology, Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA
| | | | - Lotte Vanhye
- Department of Clinical Genomics and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Laura Holden
- Department of Biochemistry and Molecular Biology, Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA
| | - Eva Morava
- Department of Clinical Genomics and Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Daan M F van Aalten
- School of Life Sciences, University of Dundee, Dundee, UK; Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
| | - Lance Wells
- Department of Biochemistry and Molecular Biology, Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA.
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2
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Luo X, Liu L, Rong H, Liu X, Yang L, Li N, Shi H. ENU-based dominant genetic screen identifies contractile and neuronal gene mutations in congenital heart disease. Genome Med 2024; 16:97. [PMID: 39135118 PMCID: PMC11318149 DOI: 10.1186/s13073-024-01372-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 08/05/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Congenital heart disease (CHD) is the most prevalent congenital anomaly, but its underlying causes are still not fully understood. It is believed that multiple rare genetic mutations may contribute to the development of CHD. METHODS In this study, we aimed to identify novel genetic risk factors for CHD using an ENU-based dominant genetic screen in mice. We analyzed fetuses with malformed hearts and compared them to control littermates by whole exome or whole genome sequencing (WES/WGS). The differences in mutation rates between observed and expected values were tested using the Poisson and Binomial distribution. Additionally, we compared WES data from human CHD probands obtained from the Pediatric Cardiac Genomics Consortium with control subjects from the 1000 Genomes Project using Fisher's exact test to evaluate the burden of rare inherited damaging mutations in patients. RESULTS By screening 10,285 fetuses, we identified 1109 cases with various heart defects, with ventricular septal defects and bicuspid aortic valves being the most common types. WES/WGS analysis of 598 cases and 532 control littermates revealed a higher number of ENU-induced damaging mutations in cases compared to controls. GO term and KEGG pathway enrichment analysis showed that pathways related to cardiac contraction and neuronal development and functions were enriched in cases. Further analysis of 1457 human CHD probands and 2675 control subjects also revealed an enrichment of genes associated with muscle and nervous system development in patients. By combining the mice and human data, we identified a list of 101 candidate digenic genesets, from which each geneset was co-mutated in at least one mouse and two human probands with CHD but not in control mouse and control human subjects. CONCLUSIONS Our findings suggest that gene mutations affecting early hemodynamic perturbations in the developing heart may play a significant role as a genetic risk factor for CHD. Further validation of the candidate gene set identified in this study could enhance our understanding of the complex genetics underlying CHD and potentially lead to the development of new diagnostic and therapeutic approaches.
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Affiliation(s)
- Xiaoxi Luo
- College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- School of Medicine, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Lifeng Liu
- School of Medicine, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Haowei Rong
- School of Medicine, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Xiangyang Liu
- School of Medicine, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Ling Yang
- Westlake University High-Performance Computing Center, Westlake University, Hangzhou, Zhejiang, China
| | - Nan Li
- Westlake University High-Performance Computing Center, Westlake University, Hangzhou, Zhejiang, China
| | - Hongjun Shi
- School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China.
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.
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3
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Liu Z, Ding S, Xu G, Fang C. Case Report: Identification of a novel PRR12 variant in a Chinese boy with developmental delay and short stature. Front Pediatr 2024; 12:1367131. [PMID: 38798311 PMCID: PMC11119739 DOI: 10.3389/fped.2024.1367131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/29/2024] [Indexed: 05/29/2024] Open
Abstract
Proline Rich 12 (PRR12) protein is primarily expressed in the brain and localized in the nucleus. The variants in the PRR12 gene were reported to be related to neuroocular syndrome. Patients with PRR12 gene presented with intellectual disability (ID), neuropsychiatric disorders, some congenital anomalies, and with or without eye abnormalities. Here, we report an 11-year-old boy with a novel PRR12 variant c.1549_1568del, p.(Pro517Alafs*35). He was the first PRR12 deficiency patient in China and presented with ID, short stature, and mild scoliosis. He could not concentrate on his studies and was diagnosed with attention deficit hyperactivity disorder (ADHD). The insulin-like growth factor 1 (IGH-1) was low in our patient, which may be the cause of his short stature. Patients with neuroocular syndrome are rare, and further exploration is needed to understand the reason for neurodevelopmental abnormalities caused by PRR12 variants. Our study further expands on the PRR12 variants and presents a new case involving PPR12 variants.
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Affiliation(s)
- Zhengxia Liu
- Department of Neurology, Women and Children’s Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China
| | - Shuxia Ding
- Department of Endocrinology, Women and Children’s Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China
| | - Guangwei Xu
- Department of Pediatric Orthopedic, Women and Children’s Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China
| | - Chunyan Fang
- Department of Neurology, Women and Children’s Hospital Affiliated to Ningbo University, Ningbo, Zhejiang, China
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4
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Muscò A, Martini D, Digregorio M, Broccoli V, Andreazzoli M. Shedding a Light on Dark Genes: A Comparative Expression Study of PRR12 Orthologues during Zebrafish Development. Genes (Basel) 2024; 15:492. [PMID: 38674426 PMCID: PMC11050278 DOI: 10.3390/genes15040492] [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: 03/16/2024] [Revised: 04/06/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Haploinsufficiency of the PRR12 gene is implicated in a human neuro-ocular syndrome. Although identified as a nuclear protein highly expressed in the embryonic mouse brain, PRR12 molecular function remains elusive. This study explores the spatio-temporal expression of zebrafish PRR12 co-orthologs, prr12a and prr12b, as a first step to elucidate their function. In silico analysis reveals high evolutionary conservation in the DNA-interacting domains for both orthologs, with significant syntenic conservation observed for the prr12b locus. In situ hybridization and RT-qPCR analyses on zebrafish embryos and larvae reveal distinct expression patterns: prr12a is expressed early in zygotic development, mainly in the central nervous system, while prr12b expression initiates during gastrulation, localizing later to dopaminergic telencephalic and diencephalic cell clusters. Both transcripts are enriched in the ganglion cell and inner neural layers of the 72 hpf retina, with prr12b widely distributed in the ciliary marginal zone. In the adult brain, prr12a and prr12b are found in the cerebellum, amygdala and ventral telencephalon, which represent the main areas affected in autistic patients. Overall, this study suggests PRR12's potential involvement in eye and brain development, laying the groundwork for further investigations into PRR12-related neurobehavioral disorders.
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Affiliation(s)
- Alessia Muscò
- Cell and Developmental Biology Unit, University of Pisa, 56126 Pisa, Italy (D.M.)
| | - Davide Martini
- Cell and Developmental Biology Unit, University of Pisa, 56126 Pisa, Italy (D.M.)
| | - Matteo Digregorio
- Cell and Developmental Biology Unit, University of Pisa, 56126 Pisa, Italy (D.M.)
| | - Vania Broccoli
- Stem Cell and Neurogenesis Unit, Division of Neuroscience, San Raffaele Scientific Institute, 20132 Milan, Italy
- CNR Institute of Neuroscience, 20132 Milan, Italy
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5
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Sewani S, Azamian MS, Mendelsohn BA, Mau-Them FT, Réda M, Nambot S, Isidor B, van der Smagt JJ, Shen JJ, Shillington A, White L, Elloumi HZ, Baker PR, Svihovec S, Brown K, Koopman-Keemink Y, Hoffer MJV, Lakeman IMM, Brischoux-Boucher E, Kinali M, Zhao X, Lalani SR, Scott DA. Neurodevelopmental and other phenotypes recurrently associated with heterozygous BAZ2B loss-of-function variants. Am J Med Genet A 2024; 194:e63445. [PMID: 37872713 DOI: 10.1002/ajmg.a.63445] [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: 06/13/2023] [Revised: 09/29/2023] [Accepted: 10/06/2023] [Indexed: 10/25/2023]
Abstract
The bromodomain adjacent to zinc finger 2B (BAZ2B) gene encodes a chromatin remodeling protein that has been shown to perform a variety of regulatory functions. It has been proposed that loss of BAZ2B function is associated with neurodevelopmental phenotypes, and some recurrent structural birth defects and dysmorphic features have been documented among individuals carrying heterozygous loss-of-function BAZ2B variants. However, additional evidence is needed to confirm that these phenotypes are attributable to BAZ2B deficiency. Here, we report 10 unrelated individuals with heterozygous deletions, stop-gain, frameshift, missense, splice junction, indel, and start-loss variants affecting BAZ2B. These included a paternal intragenic deletion and a maternal frameshift variant that were inherited from mildly affected or asymptomatic parents. The analysis of molecular and clinical data from this cohort, and that of individuals previously reported, suggests that BAZ2B haploinsufficiency causes an autosomal dominant neurodevelopmental syndrome that is incompletely penetrant. The phenotypes most commonly seen in association with loss of BAZ2B function include developmental delay, intellectual disability, autism spectrum disorder, speech delay-with some affected individuals being non-verbal-behavioral abnormalities, seizures, vision-related issues, congenital heart defects, poor fetal growth, and an indistinct pattern of dysmorphic features in which epicanthal folds and small ears are particularly common.
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Affiliation(s)
- Soha Sewani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Mahshid S Azamian
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Hospital, Houston, Texas, USA
| | - Bryce A Mendelsohn
- Department of Medical Genetics, Kaiser Permanente Oakland Medical Center, Oakland, California, USA
| | - Frederic Tran Mau-Them
- UF6254 Innovation en Diagnostic Genomique des Maladies Rares, Dijon, France
- Équipe Génétique des Anomalies du Développement (GAD), Dijon, France
| | - Manon Réda
- Department of Medical Oncology, Georges François Leclerc Cancer Center - UNICANCER, Dijon, France
- Platform of Transfer in Cancer Biology, Georges François Leclerc Cancer Center - UNICANCER, Dijon, France
- Université Bourgogne Franche-Comté, Dijon, France
- Genomic and Immunotherapy Medical Institute, Dijon, France
| | - Sophie Nambot
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, Dijon, France
- Centre de Référence Maladies Rares "Anomalies du Développement et Syndromes Malformatifs", Centre de Génétique, FHU-TRANSLAD, Dijon, France
| | - Bertrand Isidor
- Centre Hospitalier Universitaire de Nantes, Service de Génétique Médicale, Nantes, France
- INSERM, CNRS, UNIV Nantes, l'institut du thorax, Nantes, France
| | | | - Joseph J Shen
- Division of Genomic Medicine, Department of Pediatrics, MIND Institute, University of California, Davis, Sacramento, California, USA
| | - Amelle Shillington
- Cincinnati Children's Hospital Medical Center, Department of Human Genetics, Cincinnati, Ohio, USA
- Cincinnati Children's Hospital Medical Center Department of Psychiatry, Cincinnati, Ohio, USA
- University of Cincinnati College of Medicine Department of Pediatrics, Cincinnati, Ohio, USA
| | - Lori White
- Cincinnati Children's Hospital Medical Center, Department of Human Genetics, Cincinnati, Ohio, USA
| | | | - Peter R Baker
- Department of Pediatrics, University of Colorado, Aurora, Colorado, USA
| | - Shayna Svihovec
- Department of Pediatrics, University of Colorado, Aurora, Colorado, USA
| | - Kathleen Brown
- Department of Pediatrics, University of Colorado, Aurora, Colorado, USA
| | - Yvonne Koopman-Keemink
- Department of Paediatrics, Juliana Children's Hospital, HAGA Medical Center, the Hague, The Netherlands
| | - Mariette J V Hoffer
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Inge M M Lakeman
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Maria Kinali
- Department of Brain Sciences, Imperial College London and Portland Hospital HCA International, London, United Kingdom
| | - Xiaonan Zhao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
- Baylor Genetics, Houston, Texas, USA
| | - Seema R Lalani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Hospital, Houston, Texas, USA
| | - Daryl A Scott
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children's Hospital, Houston, Texas, USA
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas, USA
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6
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LaPak KM, Saeidi S, Bok I, Wamsley NT, Plutzer IB, Bhatt DP, Luo J, Ashrafi G, Major MB. Proximity proteomic analysis of the NRF family reveals the Parkinson's disease protein ZNF746/PARIS as a co-complexed repressor of NRF2. Sci Signal 2023; 16:eadi9018. [PMID: 38085818 PMCID: PMC10760916 DOI: 10.1126/scisignal.adi9018] [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: 05/24/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023]
Abstract
The nuclear factor erythroid 2-related factor 2 (NRF2) transcription factor activates cytoprotective and metabolic gene expression in response to various electrophilic stressors. Constitutive NRF2 activity promotes cancer progression, whereas decreased NRF2 function contributes to neurodegenerative diseases. We used proximity proteomic analysis to define protein networks for NRF2 and its family members NRF1, NRF3, and the NRF2 heterodimer MAFG. A functional screen of co-complexed proteins revealed previously uncharacterized regulators of NRF2 transcriptional activity. We found that ZNF746 (also known as PARIS), a zinc finger transcription factor implicated in Parkinson's disease, physically associated with NRF2 and MAFG, resulting in suppression of NRF2-driven transcription. ZNF746 overexpression increased oxidative stress and apoptosis in a neuronal cell model of Parkinson's disease, phenotypes that were reversed by chemical and genetic hyperactivation of NRF2. This study presents a functionally annotated proximity network for NRF2 and suggests a link between ZNF746 overexpression in Parkinson's disease and inhibition of NRF2-driven neuroprotection.
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Affiliation(s)
- Kyle M. LaPak
- Department of Cell Biology and Physiology, Washington University; St. Louis, MO, 63110, USA
| | - Soma Saeidi
- Department of Cell Biology and Physiology, Washington University; St. Louis, MO, 63110, USA
| | - Ilah Bok
- Department of Cell Biology and Physiology, Washington University; St. Louis, MO, 63110, USA
| | - Nathan T. Wamsley
- Department of Cell Biology and Physiology, Washington University; St. Louis, MO, 63110, USA
| | - Isaac B. Plutzer
- Department of Cell Biology and Physiology, Washington University; St. Louis, MO, 63110, USA
| | - Dhaval P. Bhatt
- Department of Cell Biology and Physiology, Washington University; St. Louis, MO, 63110, USA
| | - Jingqin Luo
- Division of Public Health Sciences, Department of Surgery, WUSM and Siteman Cancer Center Biostatistics and Qualitative Research Shared Resource, Washington University; St. Louis, MO, 63110, USA
| | - Ghazaleh Ashrafi
- Department of Cell Biology and Physiology, Washington University; St. Louis, MO, 63110, USA
- Department of Genetics, Washington University; St. Louis, MO, 63110, USA
| | - M. Ben Major
- Department of Cell Biology and Physiology, Washington University; St. Louis, MO, 63110, USA
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7
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Drobek M. Paralogous Genes Involved in Embryonic Development: Lessons from the Eye and Other Tissues. Genes (Basel) 2022; 13:2082. [PMID: 36360318 PMCID: PMC9690401 DOI: 10.3390/genes13112082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/23/2022] [Accepted: 11/05/2022] [Indexed: 07/09/2024] Open
Abstract
During evolution, gene duplications lead to a naturally increased gene dosage. Duplicated genes can be further retained or eliminated over time by purifying selection pressure. The retention probability is increased by functional diversification and by the acquisition of novel functions. Interestingly, functionally diverged paralogous genes can maintain a certain level of functional redundancy and at least a partial ability to replace each other. In such cases, diversification probably occurred at the level of transcriptional regulation. Nevertheless, some duplicated genes can maintain functional redundancy after duplication and the ability to functionally compensate for the loss of each other. Many of them are involved in proper embryonic development. The development of particular tissues/organs and developmental processes can be more or less sensitive to the overall gene dosage. Alterations in the gene dosage or a decrease below a threshold level may have dramatic phenotypic consequences or even lead to embryonic lethality. The number of functional alleles of particular paralogous genes and their mutual cooperation and interactions influence the gene dosage, and therefore, these factors play a crucial role in development. This review will discuss individual interactions between paralogous genes and gene dosage sensitivity during development. The eye was used as a model system, but other tissues are also included.
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Affiliation(s)
- Michaela Drobek
- Laboratory of Transcriptional Regulation, Institute of Molecular Genetics of the Czech Academy of Sciences, Videnska 1083, 142 20 Praha 4, Czech Republic
- Laboratory of RNA Biology, Institute of Molecular Genetics of the Czech Academy of Sciences, Videnska 1083, 142 20 Praha 4, Czech Republic
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8
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Takahashi Y, Date H, Oi H, Adachi T, Imanishi N, Kimura E, Takizawa H, Kosugi S, Matsumoto N, Kosaki K, Matsubara Y, Mizusawa H. Six years' accomplishment of the Initiative on Rare and Undiagnosed Diseases: nationwide project in Japan to discover causes, mechanisms, and cures. J Hum Genet 2022; 67:505-513. [PMID: 35318459 PMCID: PMC9402437 DOI: 10.1038/s10038-022-01025-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/07/2022] [Accepted: 02/07/2022] [Indexed: 11/09/2022]
Abstract
The identification of causative genetic variants for hereditary diseases has revolutionized clinical medicine and an extensive collaborative framework with international cooperation has become a global trend to understand rare disorders. The Initiative on Rare and Undiagnosed Diseases (IRUD) was established in Japan to provide accurate diagnosis, discover causes, and ultimately provide cures for rare and undiagnosed diseases. The fundamental IRUD system consists of three pillars: IRUD diagnostic coordination, analysis centers (IRUD-ACs), and a data center (IRUD-DC). IRUD diagnostic coordination consists of clinical centers (IRUD-CLs) and clinical specialty subgroups (IRUD-CSSs). In addition, the IRUD coordinating center (IRUD-CC) manages the entire IRUD system and temporarily operates the IRUD resource center (IRUD-RC). By the end of March 2021, 6301 pedigrees consisting of 18,136 individuals were registered in the IRUD. The whole-exome sequencing method was completed in 5136 pedigrees, and a final diagnosis was established in 2247 pedigrees (43.8%). The total number of aberrated genes and pathogenic variants was 657 and 1718, among which 1113 (64.8%) were novel. In addition, 39 novel disease entities or phenotypes with 41 aberrated genes were identified. The 6-year endeavor of IRUD has been an overwhelming success, establishing an all-Japan comprehensive diagnostic and research system covering all geographic areas and clinical specialties/subspecialties. IRUD has accurately diagnosed diseases, identified novel aberrated genes or disease entities, discovered many candidate genes, and enriched phenotypic and pathogenic variant databases. Further promotion of the IRUD is essential for determining causes and developing cures for rare and undiagnosed diseases.
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Affiliation(s)
- Yuji Takahashi
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Hidetoshi Date
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Hideki Oi
- Department of Clinical Data Science, Clinical Research and Education Promotion Division, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Takeya Adachi
- Keio Frontier Research & Education Collaborative Square (K-FRECS) at Tonomachi, Keio University, Kawasaki, Japan.,Department of Medical Regulatory Science, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.,Japan Agency for Medical Research and Development (AMED), Tokyo, Japan
| | - Noriaki Imanishi
- Japan Agency for Medical Research and Development (AMED), Tokyo, Japan.,Department of Research Promotion and Management, National Cerebral and Cardiovascular Center, Suita, Japan
| | - En Kimura
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan.,Japan Agency for Medical Research and Development (AMED), Tokyo, Japan.,Astellas Pharma Incorporated, Tokyo, Japan
| | - Hotake Takizawa
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan.,Japan Agency for Medical Research and Development (AMED), Tokyo, Japan
| | - Shinji Kosugi
- Department of Medical Ethics/Medical Genetics, Kyoto University School of Public Health, Kyoto, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kenjiro Kosaki
- Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan
| | | | | | - Hidehiro Mizusawa
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan.
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9
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Genotype-Phenotype Correlations in Relation to Newly Emerging Monogenic Forms of Autism Spectrum Disorder and Associated Neurodevelopmental Disorders: The Importance of Phenotype Reevaluation after Pangenomic Results. J Clin Med 2021; 10:jcm10215060. [PMID: 34768579 PMCID: PMC8584959 DOI: 10.3390/jcm10215060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 12/15/2022] Open
Abstract
ASD genetic diagnosis has dramatically improved due to NGS technologies, and many new causative genes have been discovered. Consequently, new ASD phenotypes have emerged. An extensive exome sequencing study carried out by the Autism Sequencing Consortium (ASC) was published in February 2020. The study identified 102 genes which are de novo mutated in subjects affected by autism spectrum disorder (ASD) or similar neurodevelopmental disorders (NDDs). The majority of these genes was already known to be implicated in ASD or NDDs, whereas approximately 30 genes were considered “novel” as either they were not previously associated with ASD/NDDs or very little information about them was present in the literature. The aim of this work is to review the current literature since the publication of the ASC paper to see if new data mainly concerning genotype–phenotype correlations of the novel genes have been added to the existing one. We found new important clinical and molecular data for 6 of the 30 novel genes. Though the broad and overlapping neurodevelopmental phenotypes observed in most monogenic forms of NDDs make it difficult for the clinical geneticist to address gene-specific tests, knowledge of these new data can at least help to prioritize and interpret results of pangenomic tests to some extent. Indeed, for some of the new emerging genes analyzed in the present work, specific clinical features emerged that may help the clinical geneticist to make the final diagnosis by associating the genetic test results with the phenotype. The importance of this relatively new approach known as “reverse phenotyping” will be discussed.
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