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      A Copy Number Variation Morbidity Map of Developmental Delay

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          Abstract

          To understand the genetic heterogeneity underlying developmental delay, we compare copy-number variants (CNVs) in 15,767 children with intellectual disability and various congenital defects to 8,329 adult controls. We estimate that ~14.2% of disease in these individuals is due to large CNVs > 400 kbp. We find greater CNV enrichment in patients with craniofacial anomalies and cardiovascular defects than epilepsy or autism. We identify 59 pathogenic CNVs including 14 novel or previously weakly supported candidates. We refine the critical interval for several genomic disorders such as the 17q21.31 microdeletion syndrome and identify 940 candidate dosage-sensitive genes. We also develop methods to opportunistically discover small, disruptive CNVs within the large and growing diagnostic array datasets. This evolving CNV morbidity map combined with exome/genome sequencing will be critical for deciphering the genetic basis of developmental delay, intellectual disability, and autism spectrum disorders.

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          Most cited references49

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          Global variation in copy number in the human genome.

          Copy number variation (CNV) of DNA sequences is functionally significant but has yet to be fully ascertained. We have constructed a first-generation CNV map of the human genome through the study of 270 individuals from four populations with ancestry in Europe, Africa or Asia (the HapMap collection). DNA from these individuals was screened for CNV using two complementary technologies: single-nucleotide polymorphism (SNP) genotyping arrays, and clone-based comparative genomic hybridization. A total of 1,447 copy number variable regions (CNVRs), which can encompass overlapping or adjacent gains or losses, covering 360 megabases (12% of the genome) were identified in these populations. These CNVRs contained hundreds of genes, disease loci, functional elements and segmental duplications. Notably, the CNVRs encompassed more nucleotide content per genome than SNPs, underscoring the importance of CNV in genetic diversity and evolution. The data obtained delineate linkage disequilibrium patterns for many CNVs, and reveal marked variation in copy number among populations. We also demonstrate the utility of this resource for genetic disease studies.
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            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.
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              Mapping and sequencing of structural variation from eight human genomes.

              Genetic variation among individual humans occurs on many different scales, ranging from gross alterations in the human karyotype to single nucleotide changes. Here we explore variation on an intermediate scale--particularly insertions, deletions and inversions affecting from a few thousand to a few million base pairs. We employed a clone-based method to interrogate this intermediate structural variation in eight individuals of diverse geographic ancestry. Our analysis provides a comprehensive overview of the normal pattern of structural variation present in these genomes, refining the location of 1,695 structural variants. We find that 50% were seen in more than one individual and that nearly half lay outside regions of the genome previously described as structurally variant. We discover 525 new insertion sequences that are not present in the human reference genome and show that many of these are variable in copy number between individuals. Complete sequencing of 261 structural variants reveals considerable locus complexity and provides insights into the different mutational processes that have shaped the human genome. These data provide the first high-resolution sequence map of human structural variation--a standard for genotyping platforms and a prelude to future individual genome sequencing projects.
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                Author and article information

                Journal
                9216904
                2419
                Nat Genet
                Nature genetics
                1061-4036
                1546-1718
                9 August 2011
                14 August 2011
                1 March 2012
                : 43
                : 9
                : 838-846
                Affiliations
                [1 ]Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
                [2 ]Signature Genomic Laboratories, LLC, Spokane, WA 99207, USA
                [3 ]Department of Pediatrics, Division of Genetics, University of Florida, Gainesville, FL 32610, USA
                [4 ]Vanderbilt University Medical Center, Nashville, TN 37232, USA
                [5 ]Department of Pediatrics, Division of Child Neurology, University of Pittsburgh, Pittsburgh, PA 15201, USA
                [6 ]Northeast Indiana Genetic Counseling Center, Ft. Wayne, IN 46845, USA
                [7 ]Children’s Hospital Pittsburgh, Pittsburgh, PA 15201, USA
                [8 ]Ochsner Clinic, New Orleans, LA 70121, USA
                [9 ]Group Health Cooperative, Seattle, WA 98112, USA
                [10 ]West Virginia University, Morgantown, WV 26506, USA
                [11 ]University of Missouri, Columbia, MO 65212, USA
                [12 ]Departments of Pediatrics and Pathology, Duke University Medical Center, Durham, NC 27705, USA
                [13 ]Clinical Molecular Diagnostic Laboratory, Duke University Health System, Durham, NC 27704, USA
                [14 ]Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
                Author notes
                []Corresponding author: Evan E. Eichler, Ph.D., University of Washington School of Medicine, Howard Hughes Medical Institute, Box 355065, Foege S413C, 3720 15 th Ave NE, Seattle, WA 98195
                [*]

                Present address: HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA

                [#]

                contributed equally to work

                Article
                nihpa314061
                10.1038/ng.909
                3171215
                21841781
                99b4f12c-14e7-44a3-ac51-d75bc0cff9f9

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                History
                Funding
                Funded by: National Institute of Child Health & Human Development : NICHD
                Award ID: R01 HD065285-02 || HD
                Funded by: Howard Hughes Medical Institute :
                Award ID: || HHMI_
                Categories
                Article

                Genetics
                Genetics

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