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      Copy number variation in bipolar disorder

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          Abstract

          Large (>100 kb), rare (<1% in the population) copy number variants (CNVs) have been shown to confer risk for schizophrenia (SZ), but the findings for bipolar disorder (BD) are less clear. In a new BD sample from the United Kingdom ( n = 2591), we have examined the occurrence of CNVs and compared this with previously reported samples of 6882 SZ and 8842 control subjects. When combined with previous data, we find evidence for a contribution to BD for three SZ-associated CNV loci: duplications at 1q21.1 ( P = 0.022), deletions at 3q29 ( P = 0.03) and duplications at 16p11.2 ( P = 2.3 × 10 −4). The latter survives multiple-testing correction for the number of recurrent large CNV loci in the genome. Genes in 20 regions (total of 55 genes) were enriched for rare exonic CNVs among BD cases, but none of these survives correction for multiple testing. Finally, our data provide strong support for the hypothesis of a lesser contribution of very large (>500 kb) CNVs in BD compared with SZ, most notably for deletions >1 Mb ( P = 9 × 10 −4).

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          Most cited references17

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          Diagnostic and statistical manual of mental disorders.

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            SCAN. Schedules for Clinical Assessment in Neuropsychiatry.

            After more than 12 years of development, the ninth edition of the Present State Examination (PSE-9) was published, together with associated instruments and computer algorithm, in 1974. The system has now been expanded, in the framework of the World Health Organization/Alcohol, Drug Abuse, and Mental Health Administration Joint Project on Standardization of Diagnosis and Classification, and is being tested with the aim of developing a comprehensive procedure for clinical examination that is also capable of generating many of the categories of the International Classification of Diseases, 10th edition, and the Diagnostic and Statistical Manual of Mental Disorders, revised third edition. The new system is known as SCAN (Schedules for Clinical Assessment in Neuropsychiatry). It includes the 10th edition of the PSE as one of its core schedules, preliminary tests of which have suggested that reliability is similar to that of PSE-9. SCAN is being field tested in 20 centers in 11 countries. A final version is expected to be available in January 1990.
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              Rare chromosomal deletions and duplications in attention-deficit hyperactivity disorder: a genome-wide analysis

              Summary Background Large, rare chromosomal deletions and duplications known as copy number variants (CNVs) have been implicated in neurodevelopmental disorders similar to attention-deficit hyperactivity disorder (ADHD). We aimed to establish whether burden of CNVs was increased in ADHD, and to investigate whether identified CNVs were enriched for loci previously identified in autism and schizophrenia. Methods We undertook a genome-wide analysis of CNVs in 410 children with ADHD and 1156 unrelated ethnically matched controls from the 1958 British Birth Cohort. Children of white UK origin, aged 5–17 years, who met diagnostic criteria for ADHD or hyperkinetic disorder, but not schizophrenia and autism, were recruited from community child psychiatry and paediatric outpatient clinics. Single nucleotide polymorphisms (SNPs) were genotyped in the ADHD and control groups with two arrays; CNV analysis was limited to SNPs common to both arrays and included only samples with high-quality data. CNVs in the ADHD group were validated with comparative genomic hybridisation. We assessed the genome-wide burden of large (>500 kb), rare (<1% population frequency) CNVs according to the average number of CNVs per sample, with significance assessed via permutation. Locus-specific tests of association were undertaken for test regions defined for all identified CNVs and for 20 loci implicated in autism or schizophrenia. Findings were replicated in 825 Icelandic patients with ADHD and 35 243 Icelandic controls. Findings Data for full analyses were available for 366 children with ADHD and 1047 controls. 57 large, rare CNVs were identified in children with ADHD and 78 in controls, showing a significantly increased rate of CNVs in ADHD (0·156 vs 0·075; p=8·9×10−5). This increased rate of CNVs was particularly high in those with intellectual disability (0·424; p=2·0×10−6), although there was also a significant excess in cases with no such disability (0·125, p=0·0077). An excess of chromosome 16p13.11 duplications was noted in the ADHD group (p=0·0008 after correction for multiple testing), a finding that was replicated in the Icelandic sample (p=0·031). CNVs identified in our ADHD cohort were significantly enriched for loci previously reported in both autism (p=0·0095) and schizophrenia (p=0·010). Interpretation Our findings provide genetic evidence of an increased rate of large CNVs in individuals with ADHD and suggest that ADHD is not purely a social construct. Funding Action Research; Baily Thomas Charitable Trust; Wellcome Trust; UK Medical Research Council; European Union.
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                Author and article information

                Journal
                9607835
                20545
                Mol Psychiatry
                Mol. Psychiatry
                Molecular psychiatry
                1359-4184
                1476-5578
                23 September 2016
                06 January 2015
                January 2016
                27 September 2016
                : 21
                : 1
                : 89-93
                Affiliations
                [1 ]School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth, UK
                [2 ]MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
                [3 ]Department of Psychiatry, School of Clinical and Experimental Medicine, National Centre for Mental Health, University of Birmingham, Birmingham, UK
                [4 ]Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
                [5 ]Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
                [6 ]Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
                [7 ]Division of Psychiatric Genomics in the Department of Psychiatry, Friedman Brain Institute, and Institute for Genomics and Multiscale Biology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
                Author notes
                Correspondence: Dr EK Green, School of Biomedical and Healthcare Sciences, Plymouth University Peninsula Schools of Medicine and Dentistry, B430 Portland Square Building, Drake Circus, Plymouth PL4 8AA. UK. elaine.green@ 123456plymouth.ac.uk
                Article
                NIHMS818362
                10.1038/mp.2014.174
                5038134
                25560756
                9a8cd628-d461-4ce2-9882-cf47d1a492b2

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                Molecular medicine
                Molecular medicine

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