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      Clinical Impact and Cost-Effectiveness of Whole Exome Sequencing as a Diagnostic Tool: A Pediatric Center’s Experience

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          Abstract

          Background

          There are limited reports of the use of whole exome sequencing (WES) as a clinical diagnostic tool. Moreover, there are no reports addressing the cost burden associated with genetic tests performed prior to WES.

          Objective

          We demonstrate the performance characteristics of WES in a pediatric setting by describing our patient cohort, calculating the diagnostic yield, and detailing the patients for whom clinical management was altered. Moreover, we examined the potential cost-effectiveness of WES by examining the cost burden of diagnostic workups.

          Methods

          To determine the clinical utility of our hospital’s clinical WES, we performed a retrospective review of the first 40 cases. We utilized dual bioinformatics analyses pipelines based on commercially available software and in-house tools.

          Results

          Of the first 40 clinical cases, we identified genetic defects in 12 (30%) patients, of which 47% of the mutations were previously unreported in the literature. Among the 12 patients with positive findings, seven have autosomal dominant disease and five have autosomal recessive disease. Ninety percent of the cohort opted to receive secondary findings and of those, secondary medical actionable results were returned in three cases. Among these positive cases, there are a number of novel mutations that are being reported here. The diagnostic workup included a significant number of genetic tests with microarray and single-gene sequencing being the most popular tests. Significantly, genetic diagnosis from WES led to altered patient medical management in positive cases.

          Conclusion

          We demonstrate the clinical utility of WES by establishing the clinical diagnostic rate and its impact on medical management in a large pediatric center. The cost-effectiveness of WES was demonstrated by ending the diagnostic odyssey in positive cases. Also, in some cases it may be most cost-effective to directly perform WES. WES provides a unique glimpse into the complexity of genetic disorders.

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          Most cited references33

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          A de novo paradigm for mental retardation.

          The per-generation mutation rate in humans is high. De novo mutations may compensate for allele loss due to severely reduced fecundity in common neurodevelopmental and psychiatric diseases, explaining a major paradox in evolutionary genetic theory. Here we used a family based exome sequencing approach to test this de novo mutation hypothesis in ten individuals with unexplained mental retardation. We identified and validated unique non-synonymous de novo mutations in nine genes. Six of these, identified in six different individuals, are likely to be pathogenic based on gene function, evolutionary conservation and mutation impact. Our findings provide strong experimental support for a de novo paradigm for mental retardation. Together with de novo copy number variation, de novo point mutations of large effect could explain the majority of all mental retardation cases in the population.
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            Exome sequencing, ANGPTL3 mutations, and familial combined hypolipidemia.

            We sequenced all protein-coding regions of the genome (the "exome") in two family members with combined hypolipidemia, marked by extremely low plasma levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides. These two participants were compound heterozygotes for two distinct nonsense mutations in ANGPTL3 (encoding the angiopoietin-like 3 protein). ANGPTL3 has been reported to inhibit lipoprotein lipase and endothelial lipase, thereby increasing plasma triglyceride and HDL cholesterol levels in rodents. Our finding of ANGPTL3 mutations highlights a role for the gene in LDL cholesterol metabolism in humans and shows the usefulness of exome sequencing for identification of novel genetic causes of inherited disorders. (Funded by the National Human Genome Research Institute and others.).
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              Insulin gene mutations as a cause of permanent neonatal diabetes.

              We report 10 heterozygous mutations in the human insulin gene in 16 probands with neonatal diabetes. A combination of linkage and a candidate gene approach in a family with four diabetic members led to the identification of the initial INS gene mutation. The mutations are inherited in an autosomal dominant manner in this and two other small families whereas the mutations in the other 13 patients are de novo. Diabetes presented in probands at a median age of 9 weeks, usually with diabetic ketoacidosis or marked hyperglycemia, was not associated with beta cell autoantibodies, and was treated from diagnosis with insulin. The mutations are in critical regions of the preproinsulin molecule, and we predict that they prevent normal folding and progression of proinsulin in the insulin secretory pathway. The abnormally folded proinsulin molecule may induce the unfolded protein response and undergo degradation in the endoplasmic reticulum, leading to severe endoplasmic reticulum stress and potentially beta cell death by apoptosis. This process has been described in both the Akita and Munich mouse models that have dominant-acting missense mutations in the Ins2 gene, leading to loss of beta cell function and mass. One of the human mutations we report here is identical to that in the Akita mouse. The identification of insulin mutations as a cause of neonatal diabetes will facilitate the diagnosis and possibly, in time, treatment of this disorder.
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                Author and article information

                Contributors
                Journal
                Front Pediatr
                Front Pediatr
                Front. Pediatr.
                Frontiers in Pediatrics
                Frontiers Media S.A.
                2296-2360
                03 August 2015
                2015
                : 3
                : 67
                Affiliations
                [1] 1Division of Human Genetics, Cincinnati Children’s Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine , Cincinnati, OH, USA
                [2] 2Myriad Genetics Laboratories, Inc. , Salt Lake City, UT, USA
                [3] 3Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children’s Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine , Cincinnati, OH, USA
                [4] 4US Department of Veterans Affairs Medical Center , Cincinnati, OH, USA
                Author notes

                Edited by: M. Z. A. Bhuiyan, University Hospital Lausanne, Switzerland

                Reviewed by: Peter Turnpenny, Royal Devon and Exeter NHS Foundation Trust, UK; Alex Vincent Postma, Academic Medical Center, Netherlands; Xusheng Wang, St. Jude Children’s Research Hospital, USA

                *Correspondence: C. Alexander Valencia, Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, MLC7016, Cincinnati, OH 45229, USA, alexander.valencia@ 123456cchmc.org

                Specialty section: This article was submitted to Genetic Disorders, a section of the journal Frontiers in Pediatrics

                Article
                10.3389/fped.2015.00067
                4522872
                26284228
                27f2987e-c1d1-493e-a46d-87d87f566f59
                Copyright © 2015 Valencia, Husami, Holle, Johnson, Qian, Mathur, Wei, Indugula, Zou, Meng, Wang, Li, Fisher, Tan, Hogart Begtrup, Collins, Wusik, Neilson, Burrow, Schorry, Hopkin, Keddache, Harley, Kaufman and Zhang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 13 May 2015
                : 13 July 2015
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 55, Pages: 15, Words: 10128
                Funding
                Funded by: National Human Genome Research Institute
                Award ID: U01 HG006828
                Categories
                Pediatrics
                Original Research

                whole exome sequencing,next generation sequencing,diagnosis,children,clinical utility,pediatrics

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