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      Neurological Disorders Associated with WWOX Germline Mutations—A Comprehensive Overview

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          Abstract

          The transcriptional regulator WW domain-containing oxidoreductase (WWOX) is a key player in a number of cellular and biological processes including tumor suppression. Recent evidence has emerged associating WWOX with non-cancer disorders. Patients harboring pathogenic germline bi-allelic WWOX variants have been described with the rare devastating neurological syndromes autosomal recessive spinocerebellar ataxia 12 (SCAR12) (6 patients) and WWOX-related epileptic encephalopathy (DEE28 or WOREE syndrome) (56 patients). Individuals with these syndromes present with a highly heterogenous clinical spectrum, the most common clinical symptoms being severe epileptic encephalopathy and profound global developmental delay. Knowledge of the underlying pathophysiology of these syndromes, the range of variants of the WWOX gene and its genotype-phenotype correlations is limited, hampering therapeutic efforts. Therefore, there is a critical need to identify and consolidate all the reported variants in WWOX to distinguish between disease-causing alleles and their associated severity, and benign variants, with the aim of improving diagnosis and increasing therapeutic efforts. Here, we provide a comprehensive review of the literature on WWOX, and analyze the pathogenic variants from published and unpublished reports by collecting entries from the ClinVar, DECIPHER, VarSome, and PubMed databases to generate the largest dataset of WWOX pathogenic variants. We estimate the correlation between variant type and patient phenotype, and delineate the impact of each variant, and used GnomAD to cross reference these variants found in the general population. From these searches, we generated the largest published cohort of WWOX individuals. We conclude with a discussion on potential personalized medicine approaches to tackle the devastating disorders associated with WWOX mutations.

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          Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

          The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants. 1 In the past decade, sequencing technology has evolved rapidly with the advent of high-throughput next generation sequencing. By adopting and leveraging next generation sequencing, clinical laboratories are now performing an ever increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes and epigenetic assays for genetic disorders. By virtue of increased complexity, this paradigm shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context, the ACMG convened a workgroup in 2013 comprised of representatives from the ACMG, the Association for Molecular Pathology (AMP) and the College of American Pathologists (CAP) to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP and CAP stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories including genotyping, single genes, panels, exomes and genomes. This report recommends the use of specific standard terminology: ‘pathogenic’, ‘likely pathogenic’, ‘uncertain significance’, ‘likely benign’, and ‘benign’ to describe variants identified in Mendelian disorders. Moreover, this recommendation describes a process for classification of variants into these five categories based on criteria using typical types of variant evidence (e.g. population data, computational data, functional data, segregation data, etc.). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends that clinical molecular genetic testing should be performed in a CLIA-approved laboratory with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or equivalent.
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            The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

            The cBio Cancer Genomics Portal (http://cbioportal.org) is an open-access resource for interactive exploration of multidimensional cancer genomics data sets, currently providing access to data from more than 5,000 tumor samples from 20 cancer studies. The cBio Cancer Genomics Portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects and empowers researchers to translate these rich data sets into biologic insights and clinical applications. © 2012 AACR.
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              The mutational constraint spectrum quantified from variation in 141,456 humans

              Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic consequences of gene disruption: genes that are crucial for the function of an organism will be depleted of such variants in natural populations, whereas non-essential genes will tolerate their accumulation. However, predicted loss-of-function variants are enriched for annotation errors, and tend to be found at extremely low frequencies, so their analysis requires careful variant annotation and very large sample sizes 1 . Here we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence predicted loss-of-function variants in this cohort after filtering for artefacts caused by sequencing and annotation errors. Using an improved model of human mutation rates, we classify human protein-coding genes along a spectrum that represents tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve the power of gene discovery for both common and rare diseases.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Cells
                Cells
                cells
                Cells
                MDPI
                2073-4409
                07 April 2021
                April 2021
                : 10
                : 4
                : 824
                Affiliations
                [1 ]The Genetic Institute, Kaplan Medical Center, Hebrew University-Hadassah Medical School, Rehovot 76100, Israel; ehudbe1@ 123456clalit.org.il
                [2 ]The Rina Mor Genetic Institute, Wolfson Medical Center, Holon 58100, Israel
                [3 ]The Concern Foundation Laboratories, The Lautenberg Center for Immunology and Cancer Research, Department of Immunology and Cancer Research-IMRIC, Hebrew University-Hadassah Medical School, Jerusalem 91120, Israel; baraa.abudiab@ 123456mail.huji.ac.il (B.A.); sara.abuswai@ 123456mail.huji.ac.il (S.A.-S.); daniel.steinberg@ 123456mail.huji.ac.il (D.J.S.); vasu369.srinivas@ 123456gmail.com (S.R.R.); diala.shatleh@ 123456mail.huji.ac.il (D.S.)
                [4 ]Faculty of Medicine and Health, School of Medical Sciences and Discipline of Child and Adolescent Health, The University of Sydney, Westmead 2145, NSW, Australia; sals8341@ 123456uni.sydney.edu.au (S.A.); wendy.gold@ 123456sydney.edu.au (W.G.)
                [5 ]Translational Vectorology Research Unit, Children’s Medical Research Institute, The University of Sydney, Westmead 2145, NSW, Australia; llisowski@ 123456cmri.org.au
                [6 ]Laboratory of Molecular Oncology and Innovative Therapies, Military Institute of Medicine, 04-141 Warsaw, Poland
                [7 ]Molecular Neurobiology Research Laboratory, Kids Research, Children’s Hospital at Westmead and The Children’s Medical Research Institute, Westmead 2145, NSW, Australia
                [8 ]Kids Neuroscience Centre, Kids Research, Children’s Hospital at Westmead, Westmead 2145, NSW, Australia
                [9 ]Krembil Research Institute, University Health Network and Department of Medicine, Physiology and BME, University of Toronto, Toronto, ON M5T 1M8, Canada; Peter.Carlen@ 123456uhnresearch.ca
                Author notes
                [* ]Correspondence: ramiaq@ 123456mail.huji.ac.il
                [†]

                These authors contributed to this work equally.

                Author information
                https://orcid.org/0000-0002-2194-4874
                https://orcid.org/0000-0002-4772-8651
                https://orcid.org/0000-0002-3339-8102
                https://orcid.org/0000-0002-6034-023X
                Article
                cells-10-00824
                10.3390/cells10040824
                8067556
                33916893
                c6678f2c-e0b3-48b7-a67a-d4c2c6168515
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 11 March 2021
                : 01 April 2021
                Categories
                Review

                woree,dee28,scar12,wwox,epilepsy,personalized medicine
                woree, dee28, scar12, wwox, epilepsy, personalized medicine

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