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      Targeted NGS: A Cost-Effective Approach to Molecular Diagnosis of PIDs

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          Abstract

          Background: Primary immunodeficiencies (PIDs) are a diverse group of disorders caused by multiple genetic defects. Obtaining a molecular diagnosis for PID patients using a phenotype-based approach is often complex, expensive, and not always successful. Next-generation sequencing (NGS) methods offer an unbiased genotype-based approach, which can facilitate molecular diagnostics.

          Objective: To develop an efficient NGS method to identify variants in PID-related genes.

          Methods: We performed HaloPlex custom target enrichment and NGS using the Ion Torrent PGM to screen 173 genes in 11 healthy controls, 13 PID patients previously evaluated with either an identified mutation or SNP, and 120 patients with undiagnosed PIDs. Sensitivity and specificity were determined by comparing NGS and Sanger sequencing results for 33 patients. Run metrics and coverage analyses were done to identify systematic deficiencies.

          Results: A molecular diagnosis was identified for 18 of 120 patients who previously lacked a genetic diagnosis, including 9 who had atypical presentations and extensive previous genetic and functional studies. Our NGS method detected variants with 98.1% sensitivity and >99.9% specificity. Uniformity was variable (72–89%), and we were not able to reliably sequence 45 regions (45/2455 or 1.8% of total regions) due to low (<20) average read depth or <90% region coverage; thus, we optimized probe hybridization conditions to improve read-depth and coverage for future analyses, and established criteria to help identify true positives.

          Conclusion: While NGS methods are not as sensitive as Sanger sequencing for individual genes, targeted NGS is a cost-effective, first-line genetic test for the evaluation of patients with PIDs. This approach decreases time to diagnosis, increases diagnostic rate, and provides insight into the genotype–phenotype correlation of PIDs in a cost-effective way.

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          An integrated semiconductor device enabling non-optical genome sequencing.

          The seminal importance of DNA sequencing to the life sciences, biotechnology and medicine has driven the search for more scalable and lower-cost solutions. Here we describe a DNA sequencing technology in which scalable, low-cost semiconductor manufacturing techniques are used to make an integrated circuit able to directly perform non-optical DNA sequencing of genomes. Sequence data are obtained by directly sensing the ions produced by template-directed DNA polymerase synthesis using all-natural nucleotides on this massively parallel semiconductor-sensing device or ion chip. The ion chip contains ion-sensitive, field-effect transistor-based sensors in perfect register with 1.2 million wells, which provide confinement and allow parallel, simultaneous detection of independent sequencing reactions. Use of the most widely used technology for constructing integrated circuits, the complementary metal-oxide semiconductor (CMOS) process, allows for low-cost, large-scale production and scaling of the device to higher densities and larger array sizes. We show the performance of the system by sequencing three bacterial genomes, its robustness and scalability by producing ion chips with up to 10 times as many sensors and sequencing a human genome.
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            Population prevalence of diagnosed primary immunodeficiency diseases in the United States.

            Although health surveys are routinely used to estimate the population incidence and prevalence of many chronic and acute conditions in the U.S. population, they have infrequently been used for "rare" conditions such as primary immunodeficiency diseases (PID). Accurate prevalence measures are needed to separate the truly rare condition from those that primary care doctors are likely to see in their practices today, if early diagnosis and treatment are to be achieved. A national probability sample of 10,000 households was sampled by random digit dialing and screened by telephone to identify how many of the nearly 27,000 household members had been diagnosed with a PID. A total of 23 household members in 18 households were reported with a specific diagnosis for PID (CVID, IgA, IgG, XLA, SCID, CGD), whereas additional cases were reported as a PID without a confirmatory diagnosis. These findings suggest a population prevalence of diagnosed PID in the United States at approximately 1 in 1,200 persons. Diagnoses of PID in the United States are far more common than suggested in the literature.
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              Targeted next-generation sequencing: a novel diagnostic tool for primary immunodeficiencies.

              Primary immunodeficiency (PID) disorders are a heterogeneous group of inherited disorders caused by a variety of monogenetic immune defects. Thus far, mutations in more than 170 different genes causing PIDs have been described. A clear genotype-phenotype correlation is often not available, which makes a genetic diagnosis in patients with PIDs complex and laborious. We sought to develop a robust, time-effective, and cost-effective diagnostic method to facilitate a genetic diagnosis in any of 170 known PID-related genes by using next-generation sequencing (NGS). We used both targeted array-based and in-solution enrichment combined with a SOLiD sequencing platform and a bioinformatic pipeline developed in house to analyze genetic changes in the DNA of 41 patients with PIDs with known mutations and 26 patients with undiagnosed PIDs. This novel NGS-based method accurately detected point mutations (sensitivity and specificity >99% in covered regions) and exonic deletions (100% sensitivity and specificity). For the 170 genes of interest, the DNA coverage was greater than 20× in 90% to 95%. Nine PID-related genes proved not eligible for evaluation by using this NGS-based method because of inadequate coverage. The NGS method allowed us to make a genetic diagnosis in 4 of 26 patients who lacked a genetic diagnosis despite routine functional and genetic testing. Three of these patients proved to have an atypical presentation of previously described PIDs. This novel NGS tool facilitates accurate simultaneous detection of mutations in 161 of 170 known PID-related genes. In addition, these analyses will generate more insight into genotype-phenotype correlations for the different PID disorders. Copyright © 2014 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.
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                Author and article information

                Contributors
                URI : http://frontiersin.org/people/u/190212
                URI : http://frontiersin.org/people/u/188400
                URI : http://frontiersin.org/people/u/128702
                URI : http://frontiersin.org/people/u/23685
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                03 November 2014
                2014
                : 5
                : 531
                Affiliations
                [1] 1Department of Laboratory Medicine, Clinical Center, National Institutes of Health , Bethesda, MD, USA
                Author notes

                Edited by: Luigi Daniele Notarangelo, Harvard Medical School, USA

                Reviewed by: Antonio Condino-Neto, University of São Paulo, Brazil; Elham Hossny, Ain Shams University, Egypt

                *Correspondence: Julie E. Niemela, 10 Center Dr, Bldg. 10 2C306, Bethesda, MD 20892, USA e-mail: jniemela@ 123456cc.nih.gov ; Sergio D. Rosenzweig, 10 Center Dr, Bldg. 10 2C410F, Bethesda, MD 20892, USA e-mail: srosenzweig@ 123456cc.nih.gov

                Jennifer L. Stoddard and Julie E. Niemela have contributed equally to this work.

                This article was submitted to Primary Immunodeficiencies, a section of the journal Frontiers in Immunology.

                Article
                10.3389/fimmu.2014.00531
                4217515
                25404929
                747871fe-00ab-4630-bee8-f885a2390528
                Copyright © 2014 Stoddard, Niemela, Fleisher and Rosenzweig.

                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
                : 12 September 2014
                : 08 October 2014
                Page count
                Figures: 4, Tables: 5, Equations: 0, References: 12, Pages: 7, Words: 4205
                Categories
                Immunology
                Methods Article

                Immunology
                primary immunodeficiency,mutation analysis,sanger sequencing,next-generation sequencing,genotype–phenotype correlation,snv,indel

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