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      Copy number variant and runs of homozygosity detection by microarrays enabled more precise molecular diagnoses in 11,020 clinical exome cases

      research-article
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      Genome Medicine
      BioMed Central
      Exome sequencing, Microarray, Structural variation, Uniparental disomy, ROH, Dual molecular diagnoses, Exonic CNV in AR disorders

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          Abstract

          Background

          Exome sequencing (ES) has been successfully applied in clinical detection of single nucleotide variants (SNVs) and small indels. However, identification of copy number variants (CNVs) using ES data remains challenging. The purpose of this study is to understand the contribution of CNVs and copy neutral runs of homozygosity (ROH) in molecular diagnosis of patients referred for ES.

          Methods

          In a cohort of 11,020 consecutive ES patients, an Illumina SNP array analysis interrogating mostly coding SNPs was performed as a quality control (QC) measurement and for CNV/ROH detection. Among these patients, clinical chromosomal microarray analysis (CMA) was performed at Baylor Genetics (BG) on 3229 patients, either before, concurrently, or after ES. We retrospectively analyzed the findings from CMA and the QC array.

          Results

          The QC array can detect ~ 70% of pathogenic/likely pathogenic CNVs (PCNVs) detectable by CMA. Out of the 11,020 ES cases, the QC array identified PCNVs in 327 patients and uniparental disomy (UPD) disorder-related ROH in 10 patients. The overall PCNV/UPD detection rate was 5.9% in the 3229 ES patients who also had CMA at BG; PCNV/UPD detection rate was higher in concurrent ES and CMA than in ES with prior CMA (7.2% vs 4.6%). The PCNVs/UPD contributed to the molecular diagnoses in 17.4% (189/1089) of molecularly diagnosed ES cases with CMA and were estimated to contribute in 10.6% of all molecularly diagnosed ES cases. Dual diagnoses with both PCNVs and SNVs were detected in 38 patients. PCNVs affecting single recessive disorder genes in a compound heterozygous state with SNVs were detected in 4 patients, and homozygous deletions (mostly exonic deletions) were detected in 17 patients. A higher PCNV detection rate was observed for patients with syndromic phenotypes and/or cardiovascular abnormalities.

          Conclusions

          Our clinical genomics study demonstrates that detection of PCNV/UPD through the QC array or CMA increases ES diagnostic rate, provides more precise molecular diagnosis for dominant as well as recessive traits, and enables more complete genetic diagnoses in patients with dual or multiple molecular diagnoses. Concurrent ES and CMA using an array with exonic coverage for disease genes enables most effective detection of both CNVs and SNVs and therefore is recommended especially in time-sensitive clinical situations.

          Electronic supplementary material

          The online version of this article (10.1186/s13073-019-0639-5) contains supplementary material, which is available to authorized users.

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          Most cited references36

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          Resolution of Disease Phenotypes Resulting from Multilocus Genomic Variation.

          Background Whole-exome sequencing can provide insight into the relationship between observed clinical phenotypes and underlying genotypes. Methods We conducted a retrospective analysis of data from a series of 7374 consecutive unrelated patients who had been referred to a clinical diagnostic laboratory for whole-exome sequencing; our goal was to determine the frequency and clinical characteristics of patients for whom more than one molecular diagnosis was reported. The phenotypic similarity between molecularly diagnosed pairs of diseases was calculated with the use of terms from the Human Phenotype Ontology. Results A molecular diagnosis was rendered for 2076 of 7374 patients (28.2%); among these patients, 101 (4.9%) had diagnoses that involved two or more disease loci. We also analyzed parental samples, when available, and found that de novo variants accounted for 67.8% (61 of 90) of pathogenic variants in autosomal dominant disease genes and 51.7% (15 of 29) of pathogenic variants in X-linked disease genes; both variants were de novo in 44.7% (17 of 38) of patients with two monoallelic variants. Causal copy-number variants were found in 12 patients (11.9%) with multiple diagnoses. Phenotypic similarity scores were significantly lower among patients in whom the phenotype resulted from two distinct mendelian disorders that affected different organ systems (50 patients) than among patients with disorders that had overlapping phenotypic features (30 patients) (median score, 0.21 vs. 0.36; P=1.77×10(-7)). Conclusions In our study, we found multiple molecular diagnoses in 4.9% of cases in which whole-exome sequencing was informative. Our results show that structured clinical ontologies can be used to determine the degree of overlap between two mendelian diseases in the same patient; the diseases can be distinct or overlapping. Distinct disease phenotypes affect different organ systems, whereas overlapping disease phenotypes are more likely to be caused by two genes encoding proteins that interact within the same pathway. (Funded by the National Institutes of Health and the Ting Tsung and Wei Fong Chao Foundation.).
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            Mechanisms underlying structural variant formation in genomic disorders.

            With the recent burst of technological developments in genomics, and the clinical implementation of genome-wide assays, our understanding of the molecular basis of genomic disorders, specifically the contribution of structural variation to disease burden, is evolving quickly. Ongoing studies have revealed a ubiquitous role for genome architecture in the formation of structural variants at a given locus, both in DNA recombination-based processes and in replication-based processes. These reports showcase the influence of repeat sequences on genomic stability and structural variant complexity and also highlight the tremendous plasticity and dynamic nature of our genome in evolution, health and disease susceptibility.
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              • Article: not found

              Use of Exome Sequencing for Infants in Intensive Care Units

              While congenital malformations and genetic diseases are a leading cause of early infant death, to our knowledge, the contribution of single-gene disorders in this group is undetermined.
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                Author and article information

                Contributors
                713-798-3183 , wbi@bcm.edu
                Journal
                Genome Med
                Genome Med
                Genome Medicine
                BioMed Central (London )
                1756-994X
                17 May 2019
                17 May 2019
                2019
                : 11
                : 30
                Affiliations
                [1 ]Baylor Genetics Laboratories, Houston, TX USA
                [2 ]ISNI 0000 0001 2160 926X, GRID grid.39382.33, Department of Molecular and Human Genetics, , Baylor College of Medicine, ; One Baylor Plaza, Houston, TX 77030-3411 USA
                [3 ]Glenda Dawson High School, Pearland, TX USA
                [4 ]ISNI 0000 0001 2160 926X, GRID grid.39382.33, Human Genome Sequencing Center, , Baylor College of Medicine, ; Houston, TX USA
                [5 ]ISNI 0000 0001 2160 926X, GRID grid.39382.33, Department of Pediatrics, , Baylor College of Medicine, ; Houston, TX USA
                [6 ]ISNI 0000 0001 2200 2638, GRID grid.416975.8, Texas Children’s Hospital, ; Houston, TX USA
                Author information
                http://orcid.org/0000-0002-1330-7031
                Article
                639
                10.1186/s13073-019-0639-5
                6525387
                31101064
                236b6ad8-4b64-47f8-bdb5-dcb78275d74a
                © 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
                : 18 September 2018
                : 9 April 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;
                Award ID: R35NS105078
                Award ID: UM1 HG006542
                Award ID: HG008986
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Molecular medicine
                exome sequencing,microarray,structural variation,uniparental disomy,roh,dual molecular diagnoses,exonic cnv in ar disorders

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