20
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genetic architecture of ADHD and overlap with other psychiatric disorders and cognition-related phenotypes

      research-article

      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

          Attention-deficit/hyperactivity disorder (ADHD) co-occurs with many other psychiatric disorders and traits. In this review, we summarize and interpret the existing literature on the genetic architecture of these comorbidities based on hypothesis-generating approaches. Quantitative genetic studies indicate that genetic factors play a substantial role in the observed co-occurrence of ADHD with many different disorders and traits. Molecular genetic correlations derived from genome-wide association studies and results of studies based on polygenic risk scores confirm the general pattern but provide effect estimates that are smaller than those from twin studies. The identification of the specific genetic variants and biological pathways underlying co-occurrence using genome-wide approaches is still in its infancy. The first analyses of causal inference using genetic data support causal relationships between ADHD and comorbid disorders, although bidirectional effects identified in some instances point to complex relationships. While several issues in the methodology and inferences from the results are still to be overcome, this review shows that the co-occurrence of ADHD with many psychiatric disorders and traits is genetically interpretable.

          Related collections

          Most cited references175

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

          Cathie Sudlow and colleagues describe the UK Biobank, a large population-based prospective study, established to allow investigation of the genetic and non-genetic determinants of the diseases of middle and old age.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.

            Little is known about the general population prevalence or severity of DSM-IV mental disorders. To estimate 12-month prevalence, severity, and comorbidity of DSM-IV anxiety, mood, impulse control, and substance disorders in the recently completed US National Comorbidity Survey Replication. Nationally representative face-to-face household survey conducted between February 2001 and April 2003 using a fully structured diagnostic interview, the World Health Organization World Mental Health Survey Initiative version of the Composite International Diagnostic Interview. Nine thousand two hundred eighty-two English-speaking respondents 18 years and older. Twelve-month DSM-IV disorders. Twelve-month prevalence estimates were anxiety, 18.1%; mood, 9.5%; impulse control, 8.9%; substance, 3.8%; and any disorder, 26.2%. Of 12-month cases, 22.3% were classified as serious; 37.3%, moderate; and 40.4%, mild. Fifty-five percent carried only a single diagnosis; 22%, 2 diagnoses; and 23%, 3 or more diagnoses. Latent class analysis detected 7 multivariate disorder classes, including 3 highly comorbid classes representing 7% of the population. Although mental disorders are widespread, serious cases are concentrated among a relatively small proportion of cases with high comorbidity.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found

              Identification of common genetic risk variants for autism spectrum disorder

              Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample-size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), we identified seven additional loci shared with other traits at equally strict significance levels. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis, and establish that GWAS performed at scale will be much more productive in the near term in ASD.
                Bookmark

                Author and article information

                Journal
                7806090
                6166
                Neurosci Biobehav Rev
                Neurosci Biobehav Rev
                Neuroscience and biobehavioral reviews
                0149-7634
                1873-7528
                11 January 2024
                October 2023
                13 July 2023
                16 January 2024
                : 153
                : 105313
                Affiliations
                [a ]Department of Mental Health, Hospital Universitari Vall d’Hebron, Barcelona, Spain
                [b ]Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
                [c ]Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
                [d ]Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
                [e ]Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain
                [f ]Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalonia, Spain
                [g ]Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
                [h ]Department of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark
                [i ]The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
                [j ]Center for Genomics and Personalized Medicine, Aarhus, Denmark
                [k ]The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
                [l ]School of Medical Sciences, Örebro University, Örebro, Sweden
                [m ]Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
                [n ]Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
                [o ]Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK
                [p ]Departments of Psychiatry and of Neuroscience and Physiology, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
                [q ]Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
                [r ]Departments of Cognitive Neuroscience and Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
                [s ]Centro de Investigacion Biomédica en Red de Enfermedades Raras (CIBER-ER), Instituto de Salud Carlos III, Madrid, Spain
                Author notes
                [1]

                Equally contributed

                [* ]Correspondence to: Department of Cognitive Neuroscience (internal postal code 200), Radboud University Medical Center, P.O. Box 9101, Nijmegen 6500 HB, the Netherlands. Barbara.Franke@ 123456radboudumc.nl (B. Franke)
                [** ]Correspondence to: Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Av. Diagonal 643, Prevosti Building, 2nd Floor, 08028 Barcelona, Catalonia, Spain. bcormand@ 123456ub.edu (B. Cormand).
                Article
                NIHMS1953276
                10.1016/j.neubiorev.2023.105313
                10789879
                37451654
                0322367a-c021-481d-af7b-baaaed2a2b32

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Categories
                Article

                Neurosciences
                attention-deficit/hyperactivity disorder,comorbitidy,pleiotropy,cross-disorder genetics,genome-wide association study,genetic correlation,polygenic risk score

                Comments

                Comment on this article