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      Digenic inheritance of subclinical variants in Noonan Syndrome patients: an alternative pathogenic model?

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          Abstract

          Noonan syndrome (NS) is an autosomal-dominant disorder with variable expressivity and locus heterogeneity. Despite several RAS pathway genes were implicated in NS, 20–30% of patients remain without molecular diagnosis, suggesting the involvement of further genes or multiple mechanisms. Eight patients out of 60, negative for conventional NS mutation analysis, with heterogeneous NS phenotype were investigated by means of target resequencing of 26 RAS/MAPK pathway genes. A trio was further characterized by means of whole-exome sequencing. Protein modeling and in silico prediction of protein stability allowed to identify possible pathogenic RAS pathway variants in four NS patients. A new c.355T>C variant in LZTR1 was found in patient 43. Two patients co-inherited variants in LRP1 and LZTR1 (patient 53), or LRP1 and SOS1 genes (patient 67). The forth patient (56) carried a compound heterozygote of RASAL3 gene variants and also an A2ML1 variant. While these subclinical variants are singularly present in healthy parents, they co-segregate in patients, suggesting their addictive effect and supporting a digenic inheritance, as alternative model to a more common monogenic transmission. The ERK1/2 and SAPK/JNK activation state, assessed on immortalized lymphocytes from patients 53 and 67 showed highest phosphorylation levels compared to their asymptomatic parents. These findings together with the lack of their co-occurrence in the 1000Genomes database strengthen the hypothesis of digenic inheritance in a subset of NS patients. This study suggests caution in the exclusion of subclinical variants that might play a pathogenic role providing new insights for alternative hereditary mechanisms.

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          Analysis of protein-coding genetic variation in 60,706 humans

          Summary Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. We describe the aggregation and analysis of high-quality exome (protein-coding region) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of truncating variants with 72% having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human “knockout” variants in protein-coding genes.
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            Noonan syndrome.

            Noonan syndrome is a genetic multisystem disorder characterised by distinctive facial features, developmental delay, learning difficulties, short stature, congenital heart disease, renal anomalies, lymphatic malformations, and bleeding difficulties. Mutations that cause Noonan syndrome alter genes encoding proteins with roles in the RAS-MAPK pathway, leading to pathway dysregulation. Management guidelines have been developed. Several clinically relevant genotype-phenotype correlations aid risk assessment and patient management. Increased understanding of the pathophysiology of the disease could help development of pharmacogenetic treatments. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Is Open Access

              The Human Phenotype Ontology in 2017

              Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.human-phenotype-ontology.org) project are the phenotype vocabulary, disease-phenotype annotations and the algorithms that operate on these. These components are being used for computational deep phenotyping and precision medicine as well as integration of clinical data into translational research. The HPO is being increasingly adopted as a standard for phenotypic abnormalities by diverse groups such as international rare disease organizations, registries, clinical labs, biomedical resources, and clinical software tools and will thereby contribute toward nascent efforts at global data exchange for identifying disease etiologies. This update article reviews the progress of the HPO project since the debut Nucleic Acids Research database article in 2014, including specific areas of expansion such as common (complex) disease, new algorithms for phenotype driven genomic discovery and diagnostics, integration of cross-species mapping efforts with the Mammalian Phenotype Ontology, an improved quality control pipeline, and the addition of patient-friendly terminology.
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                Author and article information

                Contributors
                mt.bonati@auxologico.it
                paola.riva@unimi.it
                Journal
                Eur J Hum Genet
                Eur J Hum Genet
                European Journal of Human Genetics
                Springer International Publishing (Cham )
                1018-4813
                1476-5438
                8 June 2020
                October 2020
                : 28
                : 10
                : 1432-1445
                Affiliations
                [1 ]GRID grid.4708.b, ISNI 0000 0004 1757 2822, Dipartimento di Biotecnologie Mediche e Medicina Traslazionale (BIOMETRA), , Università degli Studi di Milano, ; Segrate, Italy
                [2 ]GRID grid.429135.8, ISNI 0000 0004 1756 2536, Istituto di Tecnologie Biomediche (ITB) Centro Nazionale delle Ricerche (CNR), ITB-CNR, Segrate, ; Milano, Italy
                [3 ]GRID grid.418224.9, ISNI 0000 0004 1757 9530, Ambulatorio di Genetica Medica, IRCCS Istituto Auxologico Italiano, ; Milano, Italy
                [4 ]GRID grid.4708.b, ISNI 0000 0004 1757 2822, Dipartimento di Scienze Biomediche per la Salute, , Università degli Studi di Milano, ; Milano, Italy
                [5 ]GRID grid.417776.4, IRCCS Istituto Ortopedico Galeazzi, ; Milano, Italy
                [6 ]GRID grid.419425.f, ISNI 0000 0004 1760 3027, Fondazione IRCCS Policlinico San Matteo, ; Pavia, Italy
                Author information
                http://orcid.org/0000-0003-0103-2170
                http://orcid.org/0000-0001-8024-0482
                http://orcid.org/0000-0001-8099-4348
                http://orcid.org/0000-0001-6481-8467
                Article
                658
                10.1038/s41431-020-0658-0
                7608271
                32514133
                cc4a848e-7c7e-4747-96d6-4f4ee2b9ab47
                © The Author(s), under exclusive licence to European Society of Human Genetics 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 9 January 2020
                : 21 April 2020
                : 22 May 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003197, Ministry of Health, Italy | Agenzia Italiana del Farmaco, Ministero della Salute (Italian Medicines Agency);
                Award ID: 08C607_2006
                Award Recipient :
                Categories
                Article
                Custom metadata
                © European Society of Human Genetics 2020

                Genetics
                genetics,diseases,genotype
                Genetics
                genetics, diseases, genotype

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