15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Identification of novel candidate disease genes from de novo exonic copy number variants

      research-article
      1 , 2 , 3 , 1 , 4 , 1 , 4 , 1 , 4 , 1 , 1 , 1 , 1 , 1 , 5 , 5 , 6 , 7 , 8 , 9 , 9 , 10 , 11 , 9 , 11 , 12 , 13 , 14 , 15 , 15 , 15 , 16 , 1 , 17 , 1 , 17 , 18 , 19 , 20 , 21 , 21 , 22 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 30 , 1 , 12 , 1 , 4 , 1 , 4 , 1 , 4 , 1 , 4 , 11 , 1 , 4 , 11 , 1 , 4 , 11 , 1 , 4 , 1 , 4 , 1 , 4 , 1 , 11 , 31 , 1 , 4 , 1 , 4 , 1 , 4 ,
      Genome Medicine
      BioMed Central
      Exon targeted array CGH, Intragenic copy number variants, CNVs, de novo variants

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Exon-targeted microarrays can detect small (<1000 bp) intragenic copy number variants (CNVs), including those that affect only a single exon. This genome-wide high-sensitivity approach increases the molecular diagnosis for conditions with known disease-associated genes, enables better genotype–phenotype correlations, and facilitates variant allele detection allowing novel disease gene discovery.

          Methods

          We retrospectively analyzed data from 63,127 patients referred for clinical chromosomal microarray analysis (CMA) at Baylor Genetics laboratories, including 46,755 individuals tested using exon-targeted arrays, from 2007 to 2017. Small CNVs harboring a single gene or two to five non-disease-associated genes were identified; the genes involved were evaluated for a potential disease association.

          Results

          In this clinical population, among rare CNVs involving any single gene reported in 7200 patients (11%), we identified 145 de novo autosomal CNVs (117 losses and 28 intragenic gains), 257 X-linked deletion CNVs in males, and 1049 inherited autosomal CNVs (878 losses and 171 intragenic gains); 111 known disease genes were potentially disrupted by de novo autosomal or X-linked (in males) single-gene CNVs. Ninety-one genes, either recently proposed as candidate disease genes or not yet associated with diseases, were disrupted by 147 single-gene CNVs, including 37 de novo deletions and ten de novo intragenic duplications on autosomes and 100 X-linked CNVs in males. Clinical features in individuals with de novo or X-linked CNVs encompassing at most five genes (224 bp to 1.6 Mb in size) were compared to those in individuals with larger-sized deletions (up to 5 Mb in size) in the internal CMA database or loss-of-function single nucleotide variants (SNVs) detected by clinical or research whole-exome sequencing (WES). This enabled the identification of recently published genes ( BPTF, NONO, PSMD12, TANGO2, and TRIP12), novel candidate disease genes ( ARGLU1 and STK3), and further confirmation of disease association for two recently proposed disease genes ( MEIS2 and PTCHD1). Notably, exon-targeted CMA detected several pathogenic single-exon CNVs missed by clinical WES analyses.

          Conclusions

          Together, these data document the efficacy of exon-targeted CMA for detection of genic and exonic CNVs, complementing and extending WES in clinical diagnostics, and the potential for discovery of novel disease genes by genome-wide assay.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13073-017-0472-7) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references70

          • Record: found
          • Abstract: found
          • Article: not found

          Structural variation of chromosomes in autism spectrum disorder.

          Structural variation (copy number variation [CNV] including deletion and duplication, translocation, inversion) of chromosomes has been identified in some individuals with autism spectrum disorder (ASD), but the full etiologic role is unknown. We performed genome-wide assessment for structural abnormalities in 427 unrelated ASD cases via single-nucleotide polymorphism microarrays and karyotyping. With microarrays, we discovered 277 unbalanced CNVs in 44% of ASD families not present in 500 controls (and re-examined in another 1152 controls). Karyotyping detected additional balanced changes. Although most variants were inherited, we found a total of 27 cases with de novo alterations, and in three (11%) of these individuals, two or more new variants were observed. De novo CNVs were found in approximately 7% and approximately 2% of idiopathic families having one child, or two or more ASD siblings, respectively. We also detected 13 loci with recurrent/overlapping CNV in unrelated cases, and at these sites, deletions and duplications affecting the same gene(s) in different individuals and sometimes in asymptomatic carriers were also found. Notwithstanding complexities, our results further implicate the SHANK3-NLGN4-NRXN1 postsynaptic density genes and also identify novel loci at DPP6-DPP10-PCDH9 (synapse complex), ANKRD11, DPYD, PTCHD1, 15q24, among others, for a role in ASD susceptibility. Our most compelling result discovered CNV at 16p11.2 (p = 0.002) (with characteristics of a genomic disorder) at approximately 1% frequency. Some of the ASD regions were also common to mental retardation loci. Structural variants were found in sufficiently high frequency influencing ASD to suggest that cytogenetic and microarray analyses be considered in routine clinical workup.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Large recurrent microdeletions associated with schizophrenia.

            Reduced fecundity, associated with severe mental disorders, places negative selection pressure on risk alleles and may explain, in part, why common variants have not been found that confer risk of disorders such as autism, schizophrenia and mental retardation. Thus, rare variants may account for a larger fraction of the overall genetic risk than previously assumed. In contrast to rare single nucleotide mutations, rare copy number variations (CNVs) can be detected using genome-wide single nucleotide polymorphism arrays. This has led to the identification of CNVs associated with mental retardation and autism. In a genome-wide search for CNVs associating with schizophrenia, we used a population-based sample to identify de novo CNVs by analysing 9,878 transmissions from parents to offspring. The 66 de novo CNVs identified were tested for association in a sample of 1,433 schizophrenia cases and 33,250 controls. Three deletions at 1q21.1, 15q11.2 and 15q13.3 showing nominal association with schizophrenia in the first sample (phase I) were followed up in a second sample of 3,285 cases and 7,951 controls (phase II). All three deletions significantly associate with schizophrenia and related psychoses in the combined sample. The identification of these rare, recurrent risk variants, having occurred independently in multiple founders and being subject to negative selection, is important in itself. CNV analysis may also point the way to the identification of additional and more prevalent risk variants in genes and pathways involved in schizophrenia.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs)

              New technologies enabling genome-wide interrogation have led to a large and rapidly growing number of autism spectrum disorder (ASD) candidate genes. Although encouraging, the volume and complexity of these data make it challenging for scientists, particularly non-geneticists, to comprehensively evaluate available evidence for individual genes. Described here is the Gene Scoring module within SFARI Gene 2.0 (https://gene.sfari.org/autdb/GS_Home.do), a platform developed to enable systematic community driven assessment of genetic evidence for individual genes with regard to ASD.
                Bookmark

                Author and article information

                Contributors
                713-798-5370 , pawels@bcm.edu
                Journal
                Genome Med
                Genome Med
                Genome Medicine
                BioMed Central (London )
                1756-994X
                21 September 2017
                21 September 2017
                2017
                : 9
                : 83
                Affiliations
                [1 ]Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030-3411 USA
                [2 ]ISNI 0000000099214842, GRID grid.1035.7, Institute of Computer Science, , Warsaw University of Technology, ; Warsaw, 00-665 Poland
                [3 ]ISNI 0000 0004 0621 4763, GRID grid.418838.e, Department of Medical Genetics, , Institute of Mother and Child, ; Warsaw, 01-211 Poland
                [4 ]Baylor Genetics, Houston, TX 77021 USA
                [5 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, Division of Pediatric Neurology, , University of Texas Southwestern Medical Center, ; Dallas, TX 75390 USA
                [6 ]Children’s Health Dallas, Dallas, TX 75235 USA
                [7 ]ISNI 0000 0001 1547 9964, GRID grid.176731.5, Department of Pediatrics, , University of Texas Medical Branch, ; Galveston, TX 77555 USA
                [8 ]ISNI 0000 0001 1547 9964, GRID grid.176731.5, Department of Biochemistry and Molecular Biology, , University of Texas Medical Branch, ; Galveston, TX 77555 USA
                [9 ]ISNI 0000 0001 2160 926X, GRID grid.39382.33, Department of Pediatric, Section of Child Neurology, , Baylor College of Medicine, ; Houston, TX 77030 USA
                [10 ]ISNI 0000 0001 2160 926X, GRID grid.39382.33, Department of Psychiatry and Behavioral Sciences, , Child and Adolescent Psychiatry Division, Baylor College of Medicine, ; Houston, TX 77030 USA
                [11 ]ISNI 0000 0001 2160 926X, GRID grid.39382.33, Department of Pediatrics, , Baylor College of Medicine, ; Houston, TX 77030 USA
                [12 ]ISNI 0000 0001 2200 2638, GRID grid.416975.8, Jan and Dan Duncan Neurological Research Institute, , Texas Children’s Hospital, ; Houston, TX 77030 USA
                [13 ]ISNI 0000 0000 9950 5666, GRID grid.15485.3d, Department of Clinical Genetics, , Helsinki University Hospital, ; Helsinki, 00029 Finland
                [14 ]ISNI 0000 0004 0386 9246, GRID grid.267301.1, Genetics Division, Department of Pediatrics, , University of Tennessee Health Science Center, ; Memphis, TN 38105 USA
                [15 ]ISNI 0000 0004 0383 6997, GRID grid.413728.b, Le Bonheur Children’s Hospital, ; Memphis, TN 38103 USA
                [16 ]ISNI 0000 0001 0381 0779, GRID grid.417276.1, Phoenix Children’s Hospital, ; Phoenix, AZ 85016 USA
                [17 ]ISNI 0000 0001 2160 926X, GRID grid.39382.33, Department of Pediatrics, , Baylor College of Medicine, ; San Antonio, TX 78207 USA
                [18 ]Northeast Indiana Genetic Counseling Center, Wayne, IN 46804 USA
                [19 ]ISNI 0000 0001 0703 675X, GRID grid.430503.1, Section of Clinical Genetics & Metabolism, Department of Pediatrics, , University of Colorado School of Medicine, ; Aurora, CO 80045 USA
                [20 ]GRID grid.414557.6, Department of Psychiatry Erie County Medical Center, ; Buffalo, NY 14215 USA
                [21 ]ISNI 0000 0000 9206 2401, GRID grid.267308.8, Division of Medical Genetics, Department of Pediatrics, McGovern Medical School, , The University of Texas Health Science Center at Houston, ; Houston, TX 77030 USA
                [22 ]GRID grid.428896.9, St. Luke’s Children’s Hospital, ; Boise, ID 83702 USA
                [23 ]ISNI 0000 0001 2233 9230, GRID grid.280128.1, The National Human Genome Research Institute, ; Bethesda, MD 20892 USA
                [24 ]ISNI 0000 0000 9026 4165, GRID grid.240741.4, Seattle Children’s Hospital, ; Seattle, WA 98105 USA
                [25 ]ISNI 0000000122986657, GRID grid.34477.33, Department of Pediatrics, Division of Genetic Medicine, , University of Washington, ; Seattle, WA 98195 USA
                [26 ]Dell Children’s Medical Center, Austin, TX 78723 USA
                [27 ]Child Neurology Consultants of Austin, Austin, TX 78731 USA
                [28 ]ISNI 0000 0004 0444 5322, GRID grid.430695.d, THINK Neurology for Kids/Children’s Memorial Hermann Hospital, ; The Woodlands, TX 77380 USA
                [29 ]ISNI 0000 0001 2160 926X, GRID grid.39382.33, Division of Plastic Surgery, , Baylor College of Medicine, ; Houston, TX 77030 USA
                [30 ]GRID grid.31151.37, Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l’Est, FHU-TRANSLAD, , CHU Dijon, ; Dijon, France
                [31 ]ISNI 0000 0001 2200 2638, GRID grid.416975.8, Texas Children’s Hospital, ; Houston, TX 77030 USA
                Article
                472
                10.1186/s13073-017-0472-7
                5607840
                28934986
                6c2315fe-e95c-4927-a44b-2fc4579cb67b
                © The Author(s). 2017

                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
                : 12 April 2017
                : 1 September 2017
                Funding
                Funded by: National Institutes of Health (US)
                Award ID: U54 HG006542
                Funded by: National Institutes of Health (US)
                Award ID: R01 NS058529
                Award Recipient :
                Funded by: Polish Budget Founds
                Award ID: IP2015 019874
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100005339, American Academy of Neurology;
                Award ID: AAN Neuroscience Research Scholarship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000065, National Institute of Neurological Disorders and Stroke;
                Award ID: CNCDP-K12 Fellowship
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Molecular medicine
                exon targeted array cgh,intragenic copy number variants,cnvs,de novo variants

                Comments

                Comment on this article