TY - JOUR A1 - Havik, Bjarte A1 - Degenhardt, Franziska A. A1 - Johansson, Stefan A1 - Fernandes, Carla P. D. A1 - Hinney, Anke A1 - Scherag, André A1 - Lybaek, Helle A1 - Djurovic, Srdjan A1 - Christoforou, Andrea A1 - Ersland, Kari M. A1 - Giddaluru, Sudheer A1 - O'Donovan, Michael C. A1 - Owen, Michael J. A1 - Craddock, Nick A1 - Mühleisen, Thomas W. A1 - Mattheisen, Manuel A1 - Schimmelmann, Benno G. A1 - Renner, Tobias A1 - Warnke, Andreas A1 - Herpertz-Dahlmann, Beate A1 - Sinzig, Judith A1 - Albayrak, Özgür A1 - Rietschel, Marcella A1 - Nöthen, Markus M. A1 - Bramham, Clive R. A1 - Werge, Thomas A1 - Hebebrand, Johannes A1 - Haavik, Jan A1 - Andreassen, Ole A. A1 - Cichon, Sven A1 - Steen, Vidar M. A1 - Le Hellard, Stephanie T1 - DCLK1 Variants Are Associated across Schizophrenia and Attention Deficit/Hyperactivity Disorder JF - PLoS One N2 - Doublecortin and calmodulin like kinase 1 (DCLK1) is implicated in synaptic plasticity and neurodevelopment. Genetic variants in DCLK1 are associated with cognitive traits, specifically verbal memory and general cognition. We investigated the role of DCLK1 variants in three psychiatric disorders that have neuro-cognitive dysfunctions: schizophrenia (SCZ), bipolar affective disorder (BP) and attention deficit/hyperactivity disorder (ADHD). We mined six genome wide association studies (GWASs) that were available publically or through collaboration; three for BP, two for SCZ and one for ADHD. We also genotyped the DCLK1 region in additional samples of cases with SCZ, BP or ADHD and controls that had not been whole-genome typed. In total, 9895 subjects were analysed, including 5308 normal controls and 4,587 patients (1,125 with SCZ, 2,496 with BP and 966 with ADHD). Several DCLK1 variants were associated with disease phenotypes in the different samples. The main effect was observed for rs7989807 in intron 3, which was strongly associated with SCZ alone and even more so when cases with SCZ and ADHD were combined (P-value = 4x10\(^{-5}\) and 4x10\(^{-6}\), respectively). Associations were also observed with additional markers in intron 3 (combination of SCZ, ADHD and BP), intron 19 (SCZ+BP) and the 3'UTR (SCZ+BP). Our results suggest that genetic variants in DCLK1 are associated with SCZ and, to a lesser extent, with ADHD and BP. Interestingly the association is strongest when SCZ and ADHD are considered together, suggesting common genetic susceptibility. Given that DCLK1 variants were previously found to be associated with cognitive traits, these results are consistent with the role of DCLK1 in neurodevelopment and synaptic plasticity. KW - psychosis KW - deficit hyperactivity disorder KW - genome-wide association KW - bipolar disorder KW - VAL66MET polymorphism KW - doublecortine-like KW - genes KW - kinase KW - BDNF KW - endophenotype Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-135285 VL - 7 IS - 4 ER - TY - JOUR A1 - Brevik, Erlend J A1 - van Donkelaar, Marjolein M. J. A1 - Weber, Heike A1 - Sánchez-Mora, Cristina A1 - Jacob, Christian A1 - Rivero, Olga A1 - Kittel-Schneider, Sarah A1 - Garcia-martinez, Iris A1 - Aebi, Marcel A1 - van Hulzen, Kimm A1 - Cormand, Bru A1 - Ramos-Quiroga, Josep A A1 - Lesch, Klaus-Peter A1 - Reif, Andreas A1 - Ribases, Marta A1 - Franke, Barbara A1 - Posserud, Maj-Britt A1 - Johansson, Stefan A1 - Lundervold, Astri J. A1 - Haavik, Jan A1 - Zayats, Tetyana T1 - Genome-wide analyses of aggressiveness in attention-deficit hyperactivity disorder JF - American Journal of Medical Genetics Part B-Neuropsychiatric Genetics N2 - Aggressiveness is a behavioral trait that has the potential to be harmful to individuals and society. With an estimated heritability of about 40%, genetics is important in its development. We performed an exploratory genome-wide association (GWA) analysis of childhood aggressiveness in attention deficit hyperactivity disorder (ADHD) to gain insight into the underlying biological processes associated with this trait. Our primary sample consisted of 1,060 adult ADHD patients (aADHD). To further explore the genetic architecture of childhood aggressiveness, we performed enrichment analyses of suggestive genome-wide associations observed in aADHD among GWA signals of dimensions of oppositionality (defiant/vindictive and irritable dimensions) in childhood ADHD (cADHD). No single polymorphism reached genome-wide significance (P<5.00E-08). The strongest signal in aADHD was observed at rs10826548, within a long noncoding RNA gene (beta = -1.66, standard error (SE) = 0.34, P = 1.07E-06), closely followed by rs35974940 in the neurotrimin gene (beta = 3.23, SE = 0.67, P = 1.26E-06). The top GWA SNPs observed in aADHD showed significant enrichment of signals from both the defiant/vindictive dimension (Fisher's P-value = 2.28E-06) and the irritable dimension in cADHD (Fisher's P-value = 0.0061). In sum, our results identify a number of biologically interesting markers possibly underlying childhood aggressiveness and provide targets for further genetic exploration of aggressiveness across psychiatric disorders. KW - Large multicenter ADHD KW - Antisocial behavior KW - Diagnostic approach KW - Rating scale KW - Gene KW - Deficit/hyperactivity disorder KW - Susceptibility loci KW - Conduct disorder KW - Association KW - Adult KW - ADHD KW - Aggression KW - GWAS Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-188116 VL - 171B IS - 5 ER - TY - JOUR A1 - Postema, Merel C. A1 - Hoogman, Martine A1 - Ambrosino, Sara A1 - Asherson, Philip A1 - Banaschewski, Tobias A1 - Bandeira, Cibele E. A1 - Baranov, Alexandr A1 - Bau, Claiton H.D. A1 - Baumeister, Sarah A1 - Baur‐Streubel, Ramona A1 - Bellgrove, Mark A. A1 - Biederman, Joseph A1 - Bralten, Janita A1 - Brandeis, Daniel A1 - Brem, Silvia A1 - Buitelaar, Jan K. A1 - Busatto, Geraldo F. A1 - Castellanos, Francisco X. A1 - Cercignani, Mara A1 - Chaim‐Avancini, Tiffany M. A1 - Chantiluke, Kaylita C. A1 - Christakou, Anastasia A1 - Coghill, David A1 - Conzelmann, Annette A1 - Cubillo, Ana I. A1 - Cupertino, Renata B. A1 - de Zeeuw, Patrick A1 - Doyle, Alysa E. A1 - Durston, Sarah A1 - Earl, Eric A. A1 - Epstein, Jeffery N. A1 - Ethofer, Thomas A1 - Fair, Damien A. A1 - Fallgatter, Andreas J. A1 - Faraone, Stephen V. A1 - Frodl, Thomas A1 - Gabel, Matt C. A1 - Gogberashvili, Tinatin A1 - Grevet, Eugenio H. A1 - Haavik, Jan A1 - Harrison, Neil A. A1 - Hartman, Catharina A. A1 - Heslenfeld, Dirk J. A1 - Hoekstra, Pieter J. A1 - Hohmann, Sarah A1 - Høvik, Marie F. A1 - Jernigan, Terry L. A1 - Kardatzki, Bernd A1 - Karkashadze, Georgii A1 - Kelly, Clare A1 - Kohls, Gregor A1 - Konrad, Kerstin A1 - Kuntsi, Jonna A1 - Lazaro, Luisa A1 - Lera‐Miguel, Sara A1 - Lesch, Klaus‐Peter A1 - Louza, Mario R. A1 - Lundervold, Astri J. A1 - Malpas, Charles B A1 - Mattos, Paulo A1 - McCarthy, Hazel A1 - Namazova‐Baranova, Leyla A1 - Nicolau, Rosa A1 - Nigg, Joel T. A1 - Novotny, Stephanie E. A1 - Oberwelland Weiss, Eileen A1 - O'Gorman Tuura, Ruth L. A1 - Oosterlaan, Jaap A1 - Oranje, Bob A1 - Paloyelis, Yannis A1 - Pauli, Paul A1 - Picon, Felipe A. A1 - Plessen, Kerstin J. A1 - Ramos‐Quiroga, J. Antoni A1 - Reif, Andreas A1 - Reneman, Liesbeth A1 - Rosa, Pedro G.P. A1 - Rubia, Katya A1 - Schrantee, Anouk A1 - Schweren, Lizanne J.S. A1 - Seitz, Jochen A1 - Shaw, Philip A1 - Silk, Tim J. A1 - Skokauskas, Norbert A1 - Soliva Vila, Juan C. A1 - Stevens, Michael C. A1 - Sudre, Gustavo A1 - Tamm, Leanne A1 - Tovar‐Moll, Fernanda A1 - van Erp, Theo G.M. A1 - Vance, Alasdair A1 - Vilarroya, Oscar A1 - Vives‐Gilabert, Yolanda A1 - von Polier, Georg G. A1 - Walitza, Susanne A1 - Yoncheva, Yuliya N. A1 - Zanetti, Marcus V. A1 - Ziegler, Georg C. A1 - Glahn, David C. A1 - Jahanshad, Neda A1 - Medland, Sarah E. A1 - Thompson, Paul M. A1 - Fisher, Simon E. A1 - Franke, Barbara A1 - Francks, Clyde T1 - Analysis of structural brain asymmetries in attention‐deficit/hyperactivity disorder in 39 datasets JF - Journal of Child Psychology and Psychiatry N2 - Objective Some studies have suggested alterations of structural brain asymmetry in attention‐deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left‐right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium. Methods We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries. Results There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen’s d from −0.18 to 0.18) and would not survive study‐wide correction for multiple testing. Conclusion Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait. KW - attention‐deficit KW - hyperactivity disorder KW - brain asymmetry KW - brain laterality KW - structural MRI KW - large‐scale data Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-239968 VL - 62 IS - 10 SP - 1202 EP - 1219 ER -