28
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association data

      1 , 1 , 1 , 1 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 12 , 17 , 12 , 14 , 12 , 14 , 8 , 18 , 18 , 19 , 20 , 20 , 8 , 21 , 1 , 22 , 1 , The 23 and Me Research Team, The Inflammation Working Group of the CHARGE Consortium, The METASTROKE Consortium of the International Stroke Genetics Consortium, The Netherlands Twin Registry, The neuroCHARGE Working Group, The Obsessive Compulsive and Tourette Syndrome Working Group of the Psychiatric Genomics Consortium
      American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
      Wiley
      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

          <p class="first" id="P1">Individuals with psychiatric disorders have elevated rates of autoimmune comorbidity and altered immune signaling. It is unclear whether these altered immunological states have a shared genetic basis with those psychiatric disorders. The present study sought to use existing summary-level data from previous genome-wide association studies (GWASs) to determine if commonly varying single nucleotide polymorphisms (SNPs) are shared between psychiatric and immune-related phenotypes. We estimated heritability and examined pair-wise genetic correlations using the linkage disequilibrium score regression (LDSC) and heritability estimation from summary statistics (HESS) methods. Using LDSC, we observed significant genetic correlations between immune-related disorders and several psychiatric disorders, including anorexia nervosa, attention deficit-hyperactivity disorder, bipolar disorder, major depression, obsessive compulsive disorder, schizophrenia, smoking behavior, and Tourette syndrome. Loci significantly mediating genetic correlations were identified for schizophrenia when analytically paired with Crohn’s disease, primary biliary cirrhosis, systemic lupus erythematosus, and ulcerative colitis. We report significantly correlated loci and highlight those containing genome-wide associations and candidate genes for respective disorders. We also used the LDSC method to characterize genetic correlations amongst the immune-related phenotypes. We discuss our findings in the context of relevant genetic and epidemiological literature, as well as the limitations and caveats of the study. </p>

          Related collections

          Most cited references127

          • Record: found
          • Abstract: found
          • Article: found

          LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.

          Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness and population stratification, can yield an inflated distribution of test statistics in genome-wide association studies (GWAS). However, current methods cannot distinguish between inflation from a true polygenic signal and bias. We have developed an approach, LD Score regression, that quantifies the contribution of each by examining the relationship between test statistics and linkage disequilibrium (LD). The LD Score regression intercept can be used to estimate a more powerful and accurate correction factor than genomic control. We find strong evidence that polygenicity accounts for the majority of the inflation in test statistics in many GWAS of large sample size.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            Biological Insights From 108 Schizophrenia-Associated Genetic Loci

            Summary Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here, we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain providing biological plausibility for the findings. Many findings have the potential to provide entirely novel insights into aetiology, but associations at DRD2 and multiple genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that play important roles in immunity, providing support for the hypothesized link between the immune system and schizophrenia.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              An Atlas of Genetic Correlations across Human Diseases and Traits

              Identifying genetic correlations between complex traits and diseases can provide useful etiological insights and help prioritize likely causal relationships. The major challenges preventing estimation of genetic correlation from genome-wide association study (GWAS) data with current methods are the lack of availability of individual genotype data and widespread sample overlap among meta-analyses. We circumvent these difficulties by introducing a technique – cross-trait LD Score regression – for estimating genetic correlation that requires only GWAS summary statistics and is not biased by sample overlap. We use this method to estimate 276 genetic correlations among 24 traits. The results include genetic correlations between anorexia nervosa and schizophrenia, anorexia and obesity and associations between educational attainment and several diseases. These results highlight the power of genome-wide analyses, since there currently are no significantly associated SNPs for anorexia nervosa and only three for educational attainment.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
                Am. J. Med. Genet.
                Wiley
                15524841
                October 2018
                October 2018
                October 16 2018
                : 177
                : 7
                : 641-657
                Affiliations
                [1 ]Psychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab), Departments of Psychiatry and Behavioral Sciences & Neuroscience and Physiology; SUNY Upstate Medical University; Syracuse New York
                [2 ]Institute for Stroke and Dementia Research; Klinikum der Universität München, Ludwig-Maximilians-University (LMU); Munich Germany
                [3 ]Departments of Neurology and Public Health Sciences; University of Virginia School of Medicine; Charlottesville Virginia
                [4 ]Department of Neurology, David Geffen School of Medicine; University of California Los Angeles; Los Angeles California
                [5 ]Department of Infectious Diseases and Microbiology; Graduate School of Public Health, University of Pittsburgh; Pennsylvania
                [6 ]Department of Medicine; University of Cambridge; Cambridge United Kingdom
                [7 ]Genetics Institute; University College London; WC1E 6BT, London United Kingdom
                [8 ]Institute of Clinical Molecular Biology; Christian Albrechts University of Kiel; Kiel Germany
                [9 ]Department of Quantitative Health Sciences; University of Massachusetts Medical School; Worcester Massachusetts
                [10 ]BHF Centre for Cardiovascular Science, Queen's Medical Research Institute; University of Edinburgh; Edinburgh EH16 4TJ United Kingdom
                [11 ]School of Social and Community Medicine, MRC Integrated Epidemiology Unit; University of Bristol; Bristol BS8 2BN United Kingdom
                [12 ]Center for Applied Genomics, Division of Human Genetics; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
                [13 ]Division of Endocrinology and Diabetes; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
                [14 ]Department of Pediatrics, Perelman School of Medicine; University of Pennsylvania; Philadelphia Pennsylvania
                [15 ]Institute of Diabetes, Obesity and Metabolism; Perelman School of Medicine, University of Pennsylvania; Philadelphia Pennsylvania
                [16 ]Endocrine Genetics Laboratory, Department of Pediatrics and the Child Health Program of the Research Institute; McGill University Health Centre; Montreal Quebec Canada
                [17 ]Quantinuum Research LLC; San Diego California
                [18 ]Department of Dermatology, Veterans Affairs Hospital; University of Michigan; Ann Arbor Michigan
                [19 ]Department of Biostatistics; University of Michigan; Ann Arbor Michigan
                [20 ]Division of Genetics and Molecular Medicine; King's College London; London UK
                [21 ]Department of Biostatistics and Epidemiology; MRC-PHE Centre for Environment and Health School of Public Health, Imperial College London; London United Kingdom
                [22 ]K.G. Jebsen Centre for Research on Neuropsychiatric Disorders; University of Bergen; Bergen Norway
                Article
                10.1002/ajmg.b.32652
                6230304
                30325587
                22214eda-2768-4e15-9b4b-b6e3d59bb247
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                History

                Comments

                Comment on this article