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      The added value of WES reanalysis in the field of genetic diagnosis: lessons learned from 200 exomes in the Lebanese population

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          Abstract

          Background

          The past few decades have witnessed a tremendous development in the field of genetics. The implementation of next generation sequencing (NGS) technologies revolutionized the field of molecular biology and made the genetic information accessible at a large scale. However, connecting a rare genetic variation to a complex phenotype remains challenging. Indeed, identifying the cause of a genetic disease requires a multidisciplinary approach, starting with the establishment of a clear phenotype with a detailed family history and ending, in some cases, with functional assays that are crucial for the validation of the pathogenicity of a mutation.

          Methods

          Two hundred Lebanese patients, presenting a wide spectrum of genetic disorders (neurodevelopmental, neuromuscular or metabolic disorders, etc.), sporadic or inherited, dominant or recessive, were referred, over the last three and a half years, to the Medical Genetics Unit (UGM) of Saint Joseph University (USJ). In order to identify the genetic basis of these diseases, Whole Exome Sequencing (WES), followed by a targeted analysis, was performed for each case. In order to improve the genetic diagnostic yield, WES data, generated during the first 2 years of this study, were reanalyzed for all patients who were left undiagnosed at the genetic level. Reanalysis was based on updated bioinformatics tools and novel gene discoveries.

          Results

          Our initial analysis allowed us to identify the specific genetic mutation causing the disease in 49.5% of the cases, in line with other international studies. Repeated WES analysis enabled us to increase the diagnostics yield to 56%.

          Conclusion

          The present article reports the detailed results of both analysis and pinpoints the contribution of WES data reanalysis to an efficient genetic diagnosis. Lessons learned from WES reanalysis and interpretation are also shared.

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          Most cited references10

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          Automated inference of molecular mechanisms of disease from amino acid substitutions.

          Advances in high-throughput genotyping and next generation sequencing have generated a vast amount of human genetic variation data. Single nucleotide substitutions within protein coding regions are of particular importance owing to their potential to give rise to amino acid substitutions that affect protein structure and function which may ultimately lead to a disease state. Over the last decade, a number of computational methods have been developed to predict whether such amino acid substitutions result in an altered phenotype. Although these methods are useful in practice, and accurate for their intended purpose, they are not well suited for providing probabilistic estimates of the underlying disease mechanism. We have developed a new computational model, MutPred, that is based upon protein sequence, and which models changes of structural features and functional sites between wild-type and mutant sequences. These changes, expressed as probabilities of gain or loss of structure and function, can provide insight into the specific molecular mechanism responsible for the disease state. MutPred also builds on the established SIFT method but offers improved classification accuracy with respect to human disease mutations. Given conservative thresholds on the predicted disruption of molecular function, we propose that MutPred can generate accurate and reliable hypotheses on the molecular basis of disease for approximately 11% of known inherited disease-causing mutations. We also note that the proportion of changes of functionally relevant residues in the sets of cancer-associated somatic mutations is higher than for the inherited lesions in the Human Gene Mutation Database which are instead predicted to be characterized by disruptions of protein structure. http://mutdb.org/mutpred predrag@indiana.edu; smooney@buckinstitute.org.
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            Charting a course for genomic medicine from base pairs to bedside.

            There has been much progress in genomics in the ten years since a draft sequence of the human genome was published. Opportunities for understanding health and disease are now unprecedented, as advances in genomics are harnessed to obtain robust foundational knowledge about the structure and function of the human genome and about the genetic contributions to human health and disease. Here we articulate a 2011 vision for the future of genomics research and describe the path towards an era of genomic medicine.
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              Exome sequencing can improve diagnosis and alter patient management.

              The translation of "next-generation" sequencing directly to the clinic is still being assessed but has the potential for genetic diseases to reduce costs, advance accuracy, and point to unsuspected yet treatable conditions. To study its capability in the clinic, we performed whole-exome sequencing in 118 probands with a diagnosis of a pediatric-onset neurodevelopmental disease in which most known causes had been excluded. Twenty-two genes not previously identified as disease-causing were identified in this study (19% of cohort), further establishing exome sequencing as a useful tool for gene discovery. New genes identified included EXOC8 in Joubert syndrome and GFM2 in a patient with microcephaly, simplified gyral pattern, and insulin-dependent diabetes. Exome sequencing uncovered 10 probands (8% of cohort) with mutations in genes known to cause a disease different from the initial diagnosis. Upon further medical evaluation, these mutations were found to account for each proband's disease, leading to a change in diagnosis, some of which led to changes in patient management. Our data provide proof of principle that genomic strategies are useful in clarifying diagnosis in a proportion of patients with neurodevelopmental disorders.
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                Author and article information

                Contributors
                nadine.jalkh@usj.edu.lb
                sandra.corbani@usj.edu.lb
                zahraa.haidar@net.usj.edu.lb
                nadine.hamdan@net.usj.edu.lb
                elias.farah@usj.edu.lb
                joelle.aboughoch@usj.edu.lb
                rouba.ghosn@usj.edu.lb
                nabiha.salem@usj.edu.lb
                dralifawaz@hotmail.com
                claudiakhayat@yahoo.fr
                drmariam1@hotmail.com
                cheblmourani@gmail.com
                amoukarzel@pol.net
                srassi@hotmail.com
                bernard.gerbaka@usj.edu.lb
                hicham.mansour@gmail.com
                malek-baassiri-med@hotmail.com
                rawanedagher@gmail.com
                drdavidbr@hotmail.com
                jean-pierre.desvignes@univ-amu.fr
                valerie.delague@univ-amu.fr
                valerie.delague@univ-amu.fr
                cybel.mehawej@usj.edu.lb
                00 961 1 421 630 , eliane.chouery@usj.edu.lb
                Journal
                BMC Med Genomics
                BMC Med Genomics
                BMC Medical Genomics
                BioMed Central (London )
                1755-8794
                21 January 2019
                21 January 2019
                2019
                : 12
                : 11
                Affiliations
                [1 ]ISNI 0000 0001 2149 479X, GRID grid.42271.32, Unité de Génétique Médicale, Faculté de Médecine, , Campus De l’innovation et du sport, Université Saint-Joseph, ; rue de Damas, Beirut, Lebanon
                [2 ]ISNI 0000 0001 2149 479X, GRID grid.42271.32, Service de technologie de l’information, , Saint Joseph University, ; Beirut, Lebanon
                [3 ]ISNI 0000 0001 2324 3572, GRID grid.411324.1, Neuropediatrics Department, , Lebanese University, ; Beirut, Lebanon
                [4 ]ISNI 0000 0004 0571 2680, GRID grid.413559.f, Division of Pediatrics, , Hotel Dieu de France Hospital, ; Beirut, Lebanon
                [5 ]ISNI 0000 0001 2149 479X, GRID grid.42271.32, Department of Pediatrics Faculty of Medicine, , Saint Joseph University, ; Beirut, Lebanon
                [6 ]ISNI 0000 0004 0571 327X, GRID grid.416324.6, Department of Pediatrics, , Makassed General Hospital, ; Beirut, Lebanon
                [7 ]Department of Otolaryngology-Head and Neck Surgery, Hotel Dieu de France Hospital, Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
                [8 ]Pediatric Neurometabolic Unit, Saint George University Medical Center, Beyrouth, Lebanon
                [9 ]ISNI 0000 0004 0622 8161, GRID grid.477313.5, Department of Oncology, , Hammoud Hospital University Medical Center, ; Saida, Lebanon
                [10 ]Department of Pediatrics, Notre Dame De Secours University Hospital, Byblos, Lebanon
                [11 ]Department of Pediatrics, Chtoura Hospital, Chtoura, Lebanon
                [12 ]ISNI 0000 0001 2149 479X, GRID grid.42271.32, Unité de Génétique Médicale, Faculty of Medicine, , Saint Joseph University, ; Beirut, Lebanon
                [13 ]GRID grid.453925.c, Institut Jérôme Lejeune, ; Paris, France
                [14 ]ISNI 0000 0001 2176 4817, GRID grid.5399.6, Aix Marseille Univ, Inserm, MMG, ; U 1251 Marseille, France
                Author information
                http://orcid.org/0000-0002-6257-6609
                Article
                474
                10.1186/s12920-019-0474-y
                6341681
                30665423
                d80640ed-8d2a-401c-b86a-d66979ae73db
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 27 July 2018
                : 11 January 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004338, Saint Joseph University;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Genetics
                high throughput sequencing,exome,ngs,mutations,genetic heterogeneity,genetic diagnostics,lebanon
                Genetics
                high throughput sequencing, exome, ngs, mutations, genetic heterogeneity, genetic diagnostics, lebanon

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