187 results on '"Sergeant JA"'
Search Results
2. Effects of transcutaneous electrical nerve stimulation on cognition, behavior, and rest-activity rhythm in children with Attention Deficit Hyperactivity Disorder, combined type
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Jonsdottir, S, Bouma, A, Sergeant, JA, Scherder, EJA, Bouma, J.M., Clinical Neuropsychology, Faculty of Behavioural and Social Sciences, and Clinical Psychology and Experimental Psychopathology
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Male ,Child Behavior ,attention deficit hyperactivity disorder (ADHD) transcutaneous electrical nerve stimulation (TENS) ,Audiology ,law.invention ,Developmental psychology ,0302 clinical medicine ,Cognition ,law ,BRAIN ,Child ,actigrapby ,05 social sciences ,EXECUTIVE FUNCTIONS ,Neuropsychology ,050301 education ,General Medicine ,Executive functions ,SUPRACHIASMATIC NUCLEUS ,Circadian Rhythm ,Transcutaneous Electric Nerve Stimulation ,Female ,Psychology ,Motor Restlessness ,RESPONSE-INHIBITION ,SDG 4 - Quality Education ,medicine.medical_specialty ,Adolescent ,Rest ,Motor Activity ,Transcutaneous electrical nerve stimulation ,03 medical and health sciences ,children ,Rating scale ,mental disorders ,medicine ,Attention deficit hyperactivity disorder ,Humans ,PROTEIN-LEVELS ,MEMORY ,PROBABLE ALZHEIMERS-DISEASE ,Actigraphy ,medicine.disease ,SLEEP ,030227 psychiatry ,Attention Deficit Disorder with Hyperactivity ,RAT ,DEFICIT/HYPERACTIVITY DISORDER ,rest-activity rhythm ,0503 education - Abstract
Objective. The aim of this study was to examine the effects of transcutaneous electrical nerve stimulation (TENS) on cognition, behavior, and the rest-activity rhythm in children with attention deficit hyperactivity disorder, combined type (ADHD-CT). Methods. Twenty-two children diagnosed with ADHD-CT received TENS treatment during 6 weeks, 2 times 30 min a day. Neuropsychological tests were administered to assess cognition, parent/teacher behavioral rating scales were used to measure behavior, and actigraphy was used to assess the rest-activity rhythm. Results. TENS appeared to have a moderate beneficial influence on cognitive functions that load particularly on executive function. There was also improvement in behavior as measured by parent/teacher behavioral rating scales. Moreover, motor restlessness during sleep and motor activity during the day decreased by TENS. Conclusions. The effects of TENS in children with ADHD are modest but encouraging and warrant further research. © 2004, Sage Publications. All rights reserved.
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- 2004
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3. ERPs Associated with Anticipation and Evaluation of Monetary Reward and Punishment in Children with ADHD
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van Meel, CS (Catharine), Heslenfeld, DJ, Oosterlaan, J, Luman, M, Sergeant, JA, and Department of Psychology, Education and Child Studies
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behavioral disciplines and activities - Abstract
Background. Several models of attention-deficit hyperactivity disorder (ADHD) propose abnormalities in the response to behavioural contingencies. Using event-related potentials (ERPs), the present study investigated the monitoring and subsequent evaluation of performance feedback resulting in either reward or punishment in children with ADHD (N=18) and normal controls (N=18) aged 8 to 12 years. Methods. Children performed a time production task, in which visual performance feedback was given after each response. To manipulate its motivational salience, feedback was coupled with monetary gains, losses or no incentives. Results. Performance feedback signalling omitted gains as well as omitted losses evoked a feedback-related negativity (FRN) in control children. The FRN, however, was entirely absent in children with ADHD in all conditions. Moreover, while losses elicited enhanced amplitudes of the late positive potential (LPP) in controls, omitted rewards had this effect in ADHD. Conclusions. The lack of modulation of the FRN by contingencies in ADHD suggests deficient detection of environmental cues as a function of their motivational significance. LPP findings suggest diminished response to punishment, but oversensitivity to the loss of desired rewards. These findings suggest that children with ADHD have problems assigning relative motivational significance to outcomes of their actions.
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- 2011
4. Developmental trajectories of neural mechanisms supporting conflict and error processing in middle childhood.
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van Meel CS, Heslenfeld DJ, Rommelse NN, Oosterlaan J, and Sergeant JA
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To study age-related changes in cognitive control, event-related potentials (ERPs) of children aged 6-9 years, 10-12 years, and young adults were recorded during a Flanker task. Younger children were more susceptible to conflict than older ones and adults. The N2 in incongruent trials was smaller in younger than older children, who did not differ from adults. The error-related negativity (ERN) following errors, however, was larger in adults than in children, but did not differ between younger and older children. Delayed development of neural responses to error processing relative to conflict monitoring may indicate dissociable maturational time tables of subdivisions of the anterior cingulate cortex. [ABSTRACT FROM AUTHOR]
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- 2012
5. International variation in treatment procedures for ADHD: social context and recent trends.
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Hinshaw SP, Scheffler RM, Fulton BD, Aase H, Banaschewski T, Cheng W, Mattos P, Holte A, Levy F, Sadeh A, Sergeant JA, Taylor E, Weiss MD, Hinshaw, Stephen P, Scheffler, Richard M, Fulton, Brent D, Aase, Heidi, Banaschewski, Tobias, Cheng, Wenhong, and Mattos, Paulo
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Objective: Scientific and clinical interest in attention-deficit hyperactivity disorder (ADHD) is increasing worldwide. This article presents data from a cross-national workshop and survey related to questions of variability in diagnostic and, particularly, treatment procedures.Methods: Representatives of nine nations (Australia, Brazil, Canada, China, Germany, Israel, the Netherlands, Norway, and the United Kingdom), plus the United States, who attended a 2010 workshop on ADHD, responded to a survey that addressed diagnostic procedures for ADHD; treated prevalence of medication approaches, as well as psychosocial interventions; types of medications and psychosocial treatments in use; payment systems; beliefs and values of the education system; trends related to adult ADHD; and cultural and historical attitudes and influences related to treatment.Results: Use of both medication and psychosocial treatment for ADHD varies widely within and across nations. More expensive long-acting formulations of medications are becoming more widespread. Nations with socialized medical care provide a wide array of evidence-based interventions. Economic, historical, and political forces and cultural values are related to predominant attitudes and practices. Strong antipsychiatry and antimedication voices remain influential in many nations.Conclusions: There is considerable variation in implementation of care for ADHD. Recognition of the social context of ADHD is an important step in ensuring access to evidence-based interventions for this prevalent, chronic, and impairing condition. [ABSTRACT FROM AUTHOR]- Published
- 2011
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6. Pragmatics fragmented: the factor structure of the Dutch Children's Communication Checklist (CCC)
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Geurts HM, Hartman C, Verté S, Oosterlaan J, Roeyers H, and Sergeant JA
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Background: A number of disorders are associated with pragmatic difficulties. Instruments that can make subdivisions within the larger construct of pragmatics could be important tools for disentangling profiles of pragmatic difficulty in different disorders. The deficits underlying the observed pragmatic difficulties may be different for different disorders. Aims: To study the construct validity of a pragmatic language questionnaire. Method & Procedures: The construct of pragmatics is studied by applying exploratory factor analysis (EFA) and confirmatory factor analysis to the parent version of the Dutch Children's Communication Checklist (CCC; Bishop 1998). Parent ratings of 1589 typically developing children and 481 children with a clinical diagnosis were collected. Four different factor models derived from the original CCC scales and five different factor models based on EFA were compared with each other. The models were cross-validated. Outcomes & Results: The EFA-derived models were substantively different from the originally proposed CCC factor structure. EFA models gave a slightly better fit than the models based on the original CCC scales, though neither provided a good fit to the parent data. Coherence seemed to be part of language form and not of pragmatics, which is in line with the adaptation of the CCC, the CCC-2 (Bishop 2003). Most pragmatic items clustered together in one factor and these pragmatic items also clustered with items related to social relationships and specific interests. Conclusions & Implications: The nine scales of the original CCC do not reflect the underlying factor structure. Therefore, scale composition may be improved on and scores on subscale level need to be interpreted cautiously. Therefore, in interpreting the CCC profiles, the overall measure might be more informative than the postulated subscales as more information is needed to determine which constructs the suggested subscales are actually measuring. [ABSTRACT FROM AUTHOR]
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- 2009
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7. Support for an independent familial segregation of executive and intelligence endophenotypes in ADHD families.
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Rommelse NNJ, Altink ME, Oosterlaan J, Buschgens CJM, Buitelaar J, and Sergeant JA
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BACKGROUND: Impairments in executive functioning (EF) and intelligence quotient (IQ) are frequently observed in children with attention deficit hyperactivity disorder (ADHD). The aim of this paper was twofold: first, to examine whether both domains are viable endophenotypic candidates for ADHD and second to investigate whether deficits in both domains tend to co-segregate within families. METHOD: A large family-based design was used, including 238 ADHD families (545 children) and 147 control families (271 children). Inhibition, visuospatial and verbal working memory, and performance and verbal IQ were analysed. RESULTS: Children with ADHD, and their affected and non-affected siblings were all impaired on the EF measures and verbal IQ (though unimpaired on performance IQ) and all measures correlated between siblings. Correlations and sibling cross-correlations were not significant between EF and IQ, though they were significant between the measures of one domain. Group differences on EF were not explained by group differences on IQ and vice versa. The discrepancy score between EF and IQ correlated between siblings, indicating that siblings resembled each other in their EF-IQ discrepancy instead of having generalized impairments across both domains. Siblings of probands who had an EF but not IQ impairment, showed a comparable disproportionate lower EF score in relation to IQ score. The opposite pattern was not significant. CONCLUSIONS: The results supported the viability of EF and IQ as endophenotypic candidates for ADHD. Most findings support an independent familial segregation of both domains. Within EF, similar familial factors influenced inhibition and working memory. Within IQ, similar familial factors influenced verbal and performance IQ. [ABSTRACT FROM AUTHOR]
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- 2008
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8. The dopamine receptor D4 7-repeat allele and prenatal smoking in ADHD-affected children and their unaffected siblings: no gene--environment interaction.
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Altink ME, Arias-Vásquez A, Franke B, Slaats -Willemse DIE, Buschgens CJM, Rommelse NNJ, Fliers EA, Anney R, Brookes K, Chen W, Gill M, Mulligan A, Sonuga-Barke E, Thompson M, Sergeant JA, Faraone SV, Asherson P, and Buitelaar JK
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- 2008
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9. White matter hyperintensities and working memory: an explorative study.
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Oosterman JM, van Harten B, Weinstein HC, Scheltens P, Sergeant JA, and Scherder EJ
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- 2008
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10. Hyperactive night and day? Actigraphy studies in adult ADHD: a baseline comparison and the effect of methylphenidate.
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Boonstra AM, Kooij JJS, Oosterlaan J, Sergeant JA, Buitelaar JK, and Van Someren EJW
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- 2007
11. Executive functioning in adult ADHD: a meta-analytic review.
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Boonstra AM, Oosterlaan J, Sergeant JA, and Buitelaar JK
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BACKGROUND: Several theoretical explanations of ADHD in children have focused on executive functioning as the main explanatory neuropsychological domain for the disorder. In order to establish if these theoretical accounts are supported by research data for adults with ADHD, we compared neuropsychological executive functioning and non-executive functioning between adults with ADHD and normal controls in a meta-analytic design. METHOD: We compared 13 studies that (1) included at least one executive functioning measure, (2) compared the performance of an adult ADHD group with that of an adult normal control group, (3) provided sufficient information for calculation of effect sizes, and (4) used DSM-III-R or DSM-IV criteria to diagnose ADHD. RESULTS: We found medium effect sizes both in executive functioning areas [verbal fluency (d= 0-62), inhibition (d = 0-64 and d = 0.89), and set shifting (d = 0.65)] and in non-executive functioning domains [consistency of response (d = 0.57), word reading (d = 0.60) and color naming (d = 0.62)]. CONCLUSIONS: Neuropsychological difficulties in adult ADHD may not be confined to executive functioning. The field is in urgent need of better-designed executive functioning tests, methodological improvements, and direct comparisons with multiple clinical groups to answer questions of specificity. [ABSTRACT FROM AUTHOR]
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- 2005
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12. Peripheral electrical stimulation in Alzheimer's disease: a randomized controlled trial on congestion and behavior.
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van Dijk KRA, Scheltens P, Luijpen MW, Sergeant JA, and Scherder EJA
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In a number of studies, peripheral electrical nerve stimulation has been applied to Alzheimer's disease (AD) patients who lived in a nursing home. Improvements were observed in memory, verbal fluency, affective behavior, activities of daily living and on the rest-activity rhythm and pupillary light reflex. The aim of the present, randomized, placebo-controlled, parallel-group clinical trial was to examine the effects of electrical stimulation on cognition and behavior in AD patients who still live at home. Repeated measures analyses of variance revealed no effects of the intervention in the verum group (n = 32) compared with the placebo group (n = 30) on any of the cognitive and behavioral outcome measures. However, the majority of the patients and the caregivers evaluated the treatment procedure positively, and applying the daily treatment at home caused minimal burden. The lack of treatment effects calls for reconsideration of electrical stimulation as a symptomatic treatment in AD. [ABSTRACT FROM AUTHOR]
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- 2005
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13. Can the Children's Communication Checklist differentiate between children with autism, children with ADHD, and normal controls?
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Geurts HM, Verté S, Oosterlaan J, Roeyers H, Hartman CA, Mulder EJ, van Berckelaer-Onnes IA, and Sergeant JA
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BACKGROUND: The Children's Communication Checklist (CCC; Bishop, 1998) is a questionnaire that was developed to measure pragmatic language use and may be completed by parents and teachers. Two studies are reported, which were designed to investigate: (1) whether children with Attention Deficit Hyperactivity Disorder (ADHD) encounter pragmatic language problems in comparison with normal controls (NC), (2) whether children with ADHD and children with High Functioning Autism (HFA) can be differentiated using the CCC, (3) the usefulness of the CCC for parents and teachers in a clinical and in a research setting, and (4) the role of age in pragmatic language use in ADHD and HFA. METHOD: In the first study (clinical sample) 50 children with ADHD, 50 children with HFA, and 50 NC were compared to each other using the CCC. In the second study (research sample) CCC data was gathered on 23 children with ADHD (without co-morbid disorders), 42 children with HFA, and 35 NC. RESULTS: Compared to NC, children with HFA showed pragmatic deficits on all CCC scales. Children with ADHD demonstrated deficits compared to NC as well. Moreover, the ADHD and HFA groups differed from each other on most of the scales. Discriminant analyses showed that CCC scales were relevant for case identification in these samples. Furthermore, profiles of impairment seen in children with HFA and ADHD did not vary with age. CONCLUSION: Pragmatic difficulties do occur in both HFA and ADHD. The present studies indicate that the CCC is a useful instrument to obtain information concerning pragmatic language use in both a clinical and a research setting. Although the information of parents is more tightly linked to the diagnosis, combining the information of both parent and teacher slightly improves case identification. [ABSTRACT FROM AUTHOR]
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- 2004
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14. The Acute versus Chronic Pain Questionnaire (ACPQ) and actual pain experiences in older people.
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Scherder EJA, Smit R, Vuijk PJ, Bouma A, and Sergeant JA
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The Acute versus Chronic Pain Questionnaire (ACPQ) was applied to older people. Two groups emerged from an analysis of which an item of each pair (an acute and a chronic affective item) was considered to cause the most suffering. One group of subjects comprised those who expected to suffer more from one or more acute pain items (high-ACPQ group, n = 35). A second group emerged for whom none of the acute items was considered to be a burden (low-ACPQ group, n = 33). It was hypothesized that, compared to the low-ACPQ group, the subjects with high-ACPQ scores selected acute ACPQ-items due to a decline in the experience of chronic affective pain. This hypothesis predicted lower scores on the chronic ACPQ-items and lower scores on scales evaluating the subjects' own chronic affective pain. The results showed that, irrespective of the group, the chronic ACPQ-items were considered to produce the most burdens. However, compared with the low-ACPQ group, the high-ACPQ group reported experiencing significantly more pain from the acute ACPQ-items. Moreover, the latter group indicated suffering less pain from their own chronic pain conditions. The present findings suggest that the selection of one or more acute items of the ACPQ (high-ACPQ group) may point to an alteration in subjects' actual pain experience. [ABSTRACT FROM AUTHOR]
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- 2002
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15. Seminar. Attention-deficit hyperactivity disorder and hyperkinetic disorder.
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Swanson JM, Sergeant JA, Taylor E, Sonuga-Barke EJS, Jensen PS, and Cantwell DP
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- 1998
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16. Psychological mechanisms of enhanced risk of addiction in children of alcoholics: a dual pathway?
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Wiers, RW, Sergeant, JA, and Gunning, WB
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- 1994
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17. Inhibitory performance, response speed, intraindividual variability, and response accuracy in ADHD.
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de Zeeuw P, Aarnoudse-Moens C, Bijlhout J, König C, Post Uiterweer A, Papanikolau A, Hoogenraad C, Imandt L, de Been D, Sergeant JA, and Oosterlaan J
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- 2008
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18. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways
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Anita Thapar, Lena Backlund, Lindsey Kent, Walter J. Muir, A. Jeremy Willsey, Sandra K. Loo, Michael Boehnke, Christa Lese Martin, Ania Korszun, Guiomar Oliveira, Veronica J. Vieland, Stephen W. Scherer, René S. Kahn, Darina Czamara, Jeremy R. Parr, Michael E. Goddard, Willem A. Nolen, Josep Antoni Ramos-Quiroga, Stephen Sanders, Karola Rehnstroem, Nelson B. Freimer, Erin N. Smith, Ann Olincy, Ingrid Melle, Myrna M. Weissman, James A. Knowles, William Byerley, Aravinda Chakravarti, Shaun Purcell, Jens Treutlein, Sebastian Zoellner, Hakon Hakonarson, Susanne Lucae, Markus M. Noethen, Ian B. Hickie, Marion Friedl, Srinivasa Thirumalai, Stephen Newhouse, Joseph Piven, Andrew M. McIntosh, Cathryn M. Lewis, Srdjan Djurovic, Francis J. McMahon, Ayman H. Fanous, Bernie Devlin, Steven A. McCarroll, Alan F. Schatzberg, Peter Szatmari, Marta Ribasés, C. Robert Cloninger, Brenda W.J.H. Penninx, Gerard van Grootheest, Phil Lee, Richard Anney, Elaine K. Green, Geraldine Dawson, Joseph A. Sergeant, Digby Quested, Magdalena Gross, Jack D. Barchas, Nicholas G. Martin, Timothy W. Yu, Jouke-Jan Hottenga, Mark Lathrop, Federica Tozzi, Martin Hautzinger, Alysa E. Doyle, Cinnamon S. Bloss, Sandra Meier, Louise Gailagher, David A. Collier, Farooq Amin, Michael C. Neale, Martin Schalling, Lieuwe de Haan, Bru Cormand, Falk W. Lohoff, Jennifer Crosbie, Howard J. Edenberg, Aarno Palotie, Johannes H. Smit, Robert Freedman, Katherine Gordon-Smith, Michele L. Pergadia, Enda M. Byrne, Hans-Christoph Steinhausen, Benjamin M. Neale, Anjali K. Henders, Michele T. Pato, Manuel Mattheisen, Urban Ösby, Edward M. Scolnick, Evaristus A. Nwulia, Fritz Poustka, Gonneke Willemsen, Andrew C. Heath, David St. Cair, Emma M. Quinn, I. Nicol Ferrier, John R. Kelsoe, Vanessa Hus, Andrew McQuillin, John P. Rice, William M. McMahon, Joseph Biederman, Danyu Lin, Wolfgang Maier, Frans G. Zitman, Josephine Elia, Nicholas J. Schork, Stéphane Jamain, Lizzy Rossin, Jubao Duan, Ingrid Agartz, Devin Absher, Jordan W. Smoller, Matthew W. State, Richard M. Myers, Shrikant Mane, Carlos N. Pato, William E. Bunney, Marian L. Hamshere, Manfred Uhr, Nicholas John Craddock, Astrid M. Vicente, Tobias Banaschewski, David Curtis, Anne Farmer, Scott D. Gordon, Anna K. Kaehler, Eric M. Morrow, Marcella Rietschel, Patrik K. E. Magnusson, Klaus-Peter Lesch, Rebecca McKinney, Jana Strohmaier, Thomas F. Wienker, Pablo V. Gejman, Douglas Blackwood, Maria Helena Pinto de Azevedo, Tiffany A. Greenwood, Don H. Linszen, Daniel L. Koller, Richard Bruggeman, Vinay Puri, Naomi R. Wray, Stanley J. Watson, Elena Maestrini, Valentina Moskvina, Frank Dudbridge, Danielle Posthuma, Edward G. Jones, Lambertus Klei, Sarah E. Bergen, Fan Meng, Steven P. Hamilton, Guy A. Rouleau, Pierandrea Muglia, Mikael Landén, Stephanie H. Witt, Laramie E. Duncan, Stanley Zammit, Judith A. Badner, Florian Holsboer, Eco J. C. de Geus, Daniel Moreno-De-Luca, Benjamin S. Pickard, Gunnar Morken, Michael Conlon O'Donovan, Michael Steffens, Kathryn Roeder, Dorret I. Boomsma, Paul D. Shilling, Stephan Ripke, Nigel Williams, Jeremy M. Silverman, David Craig, Mark J. Daly, Michael Bauer, Detelina Grozeva, Markus J. Schwarz, Peter Holmans, Hugh Gurling, T. Scott Stroup, Aribert Rothenberger, Gary Donohoe, Eric Fombonne, Joseph D. Buxbaum, Matthew Flicldnger, Bryan J. Mowry, Thomas Hansen, Ina Giegling, Grant W. Montgomery, Caroline M. Nievergelt, Susan L. Smalley, Jung-Ying Tzeng, David H. Ledbetter, Christopher A. Walsh, Gerard D. Schellenberg, Sarah E. Medland, Robert D. Oades, James B. Potash, Dan E. Arking, Johannes Schumacher, Michael Gill, James J. McGough, Jennifer L. Moran, Donald W. Black, Sian Caesar, Neelroop N. Parikshak, Ian W. Craig, Sabine M. Klauck, Wade H. Berrettini, T. Foroud, Peter P. Zandi, Inez Myin-Germeys, Marcus Ising, Sven Cichon, Alexandre A. Todorov, Mònica Bayés, Thomas Werge, Susan L. Slager, Stanley I. Shyn, Jim van Os, Derek W. Morris, Douglas M. Ruderfer, Thomas W. Muehleisen, Matthew C. Keller, Susmita Datta, Ian Jones, John B. Vincent, James L. Kennedy, Anthony P. Monaco, Jianxin Shi, Dale R. Nyholt, Bruno Etain, Christine Fraser, Paul Cormican, Miguel Casas, Radhika Kandaswamy, Gerome Breen, Stephen V. Faraone, Jonna Kuntsi, Thomas Bettecken, Witte J.G. Hoogendijk, Nancy G. Buccola, Franziska Degenhardt, Lyudmila Georgieva, Marion Leboyer, Alan R. Sanders, John Strauss, Dan Rujescu, Russell Schachar, Helena Medeiros, Lisa Jones, Peter M. Visscher, Lauren A. Weiss, René Breuer, John I. Nurnberger, Andreas Reif, Phoenix Kwan, Vihra Milanova, Chunyu Liu, Martin A. Kohli, Donald J. MacIntyre, Nicholas Bass, Khalid Choudhury, Edwin H. Cook, Catherine Lord, Andrew D. Paterson, Jobst Meyer, Richard P. Ebstein, Zhaoming Zhao, Niklas Laengstroem, Thomas G. Schulze, Peter Propping, Wei Xu, Robert C. Thompson, Kimberly Chambert, Jonathan Pimm, Ivan Nikolov, Pamela A. F. Madden, Kevin A. McGhee, Jacob Lawrence, Jan K. Buitelaar, Andres Ingason, Christine M. Freitag, Robert Krasucki, Wiepke Cahn, Rita M. Cantor, Christina M. Hultman, Melvin G. McInnis, Catalina Betancur, Eftichia Duketis, Michael T. Murtha, Thomas H. Wassink, Philip Asherson, John S. Witte, Elaine Kenny, Edmund J.S. Sonuga-Barke, Lydia Krabbendam, Line Olsen, Agatino Battaglia, Laura J. Scott, Annette M. Hartmann, Yunjung Kim, Richard O. Day, Edwin J. C. G. van den Oord, Ole A. Andreassen, Herbert Roeyers, Michael John Owen, Colm O'Dushlaine, Peng Zhang, Morten Mattingsdal, Michael L. Cuccaro, Margaret A. Pericak-Vance, Joachim Hallmayer, Jun Li, Pamela B. Mahon, Elisabeth B. Binder, William A. Scheftner, Daniel H. Geschwind, Christel M. Middeldorp, Josef Frank, Keith Matthews, Jennifer K. Lowe, Paul Lichtenstein, Verneri Anttila, Pamela Sklar, Szabocls Szelinger, Roel A. Ophoff, Peter McGuffin, Stefan Herms, Bettina Konte, George Kirov, Hilary Coon, Maria Hipolito, Louise Frisén, Kenneth S. Kendler, Frank Bellivier, James S. Sutdiffe, Jeffrey A. Lieberman, Todd Lencz, Susanne Hoefels, Alan W. McLean, Barbara Franke, Huda Akil, Soumya Raychaudhuri, Ellen M. Wijsman, Vishwajit L. Nimgaonkar, Roy H. Perlis, Patrick J. McGrath, Susan L. Santangelo, William Coryell, Henrik B. Rasmussen, Weihua Guan, William Lawson, Elliot S. Gershon, Sean Ennis, Aiden Corvin, Allan H. Young, Thomas B. Barrett, Jonathan L. Haines, Douglas F. Levinson, Ana Miranda, Anil K. Malhotra, S. Hong Lee, Stan F. Nelson, Anthony J. Bailey, Patrick F. Sullivan, Dorothy E. Grice, Lefkos T. Middleton, Bertram Mueller-Myhsok, Michael R. 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Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Human genetics, Psychiatry, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, Child and Adolescent Psychiatry / Psychology, Epidemiology, Gastroenterology & Hepatology, Hematology, University of St Andrews. School of Medicine, University of St Andrews. Institute of Behavioural and Neural Sciences, Psychiatrie & Neuropsychologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), RS: MHeNs - R2 - Mental Health, ANS - Amsterdam Neuroscience, Adult Psychiatry, Child Psychiatry, Universitat de Barcelona, Perceptual and Cognitive Neuroscience (PCN), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Complex Trait Genetics, Biological Psychology, Educational Neuroscience, Clinical Neuropsychology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, LEARN! - Brain, learning and development, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), O'Dushlaine, Colm, Rossin, Lizzy, Lee, Phil H, Duncan, Laramie, Lee, S Hong, Breen, Gerome, International Inflammatory Bowel Disease Genetics Consortium (IIBDGC), Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium, and Myin-Germeys, Inez
- Subjects
Netherlands Twin Register (NTR) ,Statistical methods ,Autism ,Medizin ,LOCI ,Genome-wide association study ,heritability ,Genome-wide association studies ,Histones ,Genètica mèdica ,0302 clinical medicine ,Histone methylation ,Databases, Genetic ,2.1 Biological and endogenous factors ,Psychology ,GWAS ,Aetiology ,Psychiatric genetics ,R2C ,bipolar disorder ,Psychiatry ,0303 health sciences ,Disorders ,Loci ,Depression ,General Neuroscience ,Mental Disorders ,Medical genetics ,METHYLATION ,Brain ,3rd-DAS ,Serious Mental Illness ,Psychiatric Disorders ,3. Good health ,Histone ,Mental Health ,Schizophrenia ,Mental Disorder ,Cognitive Sciences ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Promoters ,BDC ,BURDEN ,RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry ,Human ,Signal Transduction ,medicine.medical_specialty ,DISORDERS ,Genomics ,Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium ,Burden ,Biology ,Methylation ,Article ,Biological pathway ,PROMOTERS ,03 medical and health sciences ,Databases ,Genetic ,medicine ,Genetics ,Humans ,Genetic Predisposition to Disease ,histone methylation ,Bipolar disorder ,Psiquiatria ,AUTISM ,030304 developmental biology ,Genetic association ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Neurology & Neurosurgery ,Neuroscience (all) ,Human Genome ,Neurosciences ,medicine.disease ,Brain Disorders ,Good Health and Well Being ,DE-NOVO MUTATIONS ,Perturbações do Desenvolvimento Infantil e Saúde Mental ,RC0321 ,Genome-wide Association Studies ,De-novo mutations ,major depression ,Neuroscience ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
G.B. and S.N. acknowledge funding support for this work from the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. P.H.L. is supported by US National Institute of Mental Health (NIMH) grant K99MH101367. Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders. Postprint
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- 2015
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19. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
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Laura J. Scott, Bernie Devlin, Steven A. McCarroll, James S. Sutcliffe, Stefan Herms, Yunjung Kim, Richard O. Day, Thomas F. Wienker, Frank Dudbridge, I. Nicol Ferrier, Bettina Konte, Marta Ribasés, C. Robert Cloninger, Brenda W.J.H. Penninx, Detelina Grozeva, Herbert Roeyers, Peter Holmans, Colm O'Dushlaine, Scott D. Gordon, Sarah E. Bergen, Fan Meng, Morten Mattingsdal, Hugh Gurling, Ina Giegling, Gerard van Grootheest, Ania Korszun, Markus J. Schwarz, George Kirov, Sebastian Zöllner, Kenneth S. Kendler, Nicholas G. Martin, Michael Conlon O'Donovan, Michael C. Neale, Jim van Os, Aravinda Chakravarti, Timothy W. Yu, Mikael Landén, Inez Myin-Germeys, Markus M. Nöthen, Kathryn Roeder, James B. Potash, Alan W. McLean, Louise Gallagher, Anna K. Kähler, Thomas Bettecken, Nigel Williams, Frank Bellivier, Joseph D. Buxbaum, Derek W. Morris, Susan L. Smalley, Jung-Ying Tzeng, Martin Schalling, Douglas M. Ruderfer, Caroline M. Nievergelt, T. Scott Stroup, David H. Ledbetter, Jennifer Crosbie, Anita Thapar, Barbara Franke, Jeffrey A. Lieberman, Huda Akil, Miguel Casas, Daniel H. Geschwind, Paul Cormican, Bertram Müller-Myhsok, Lyudmila Georgieva, Robert Krasucki, Martin Hautzinger, Alysa E. Doyle, Cinnamon S. Bloss, Gerard D. Schellenberg, Todd Lencz, Melvin G. McInnis, Catalina Betancur, Josep Antoni Ramos-Quiroga, Stephen Sanders, Eftichia Duketis, Don H. Linszen, Matthew W. State, Richard M. Myers, Soumya Raychaudhuri, Lizzy Rossin, Howard J. Edenberg, Michael E. Goddard, S. Hong Lee, Elisabeth B. Binder, Pablo V. Gejman, William A. Scheftner, Wolfgang Maier, Judith A. Badner, Christel M. Middeldorp, Maria Helena Pinto de Azevedo, Johannes H. Smit, Willem A. Nolen, Lieuwe de Haan, Gonneke Willemsen, Keith Matthews, Ellen M. Wijsman, Jennifer K. Lowe, Rebecca McKinney, Magdalena Gross, Dorothy E. Grice, James A. Knowles, Andrew C. Heath, Jana Strohmaier, Vishwajit L. Nimgaonkar, William Byerley, William E. Bunney, Dan E. 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Berrettini, Peter P. Zandi, Susan L. Slager, Stephanie H. Witt, Ian W. Craig, Lisa Jones, Sven Cichon, Bruno Etain, Mark Lathrop, Hilary Coon, Robert C. Thompson, Lena Backlund, A. Jeremy Willsey, Andres Ingason, Christine M. Freitag, Sandra K. Loo, Guiomar Oliveira, Line Olsen, Edwin J. C. G. van den Oord, Geraldine Dawson, Joseph A. Sergeant, David A. Collier, Farooq Amin, Srinivasa Thirumalai, Manfred Uhr, Joseph Piven, Andrew M. McIntosh, Anjali K. Henders, Urban Ösby, Klaus-Peter Lesch, Tiffany A. Greenwood, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Lee, S Hong, Ripke, Stephan, Neale, Benjamin M, Faraone, Stephen V, Wray, Naomi R, Cross-Disorder Group of the Psychiatric Genomics Consortium, International Inflammatory Bowel Disease Genetics Consortium (IIBDGC), Queensland Brain Institute, University of Queensland [Brisbane], Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], SUNY Upstate Medical University, State University of New York (SUNY), Mount Sinai School of Medicine, Department of Psychiatry-Icahn School of Medicine at Mount Sinai [New York] (MSSM), Psychiatric and Neurodevelopmental Genetics Unit, Queensland Centre for Mental Health Research, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council (MRC)-School of Medicine [Cardiff], Cardiff University-Institute of Medical Genetics [Cardiff]-Cardiff University-Institute of Medical Genetics [Cardiff], New South Wales Department of Primary Industries (NSW DPI), Faculty of Land and Food Resources, University of Melbourne, HudsonAlpha Institute for Biotechnology [Huntsville, AL], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Diakonhjemmet Hospital, University of Michigan [Ann Arbor], University of Michigan System, Molecular and Behavioral Neuroscience Institute (MBNI), University of Michigan System-University of Michigan System, Emory University [Atlanta, GA], Oslo University Hospital [Oslo], University College of London [London] (UCL), Trinity College Dublin, Johns Hopkins University School of Medicine [Baltimore], MRC Social Genetic Developmental and Psychiatry Centre, Institute of Psychiatry, King's College London, University of Coimbra [Portugal] (UC), Karolinska Institutet [Stockholm], University of Chicago, University of British Columbia (UBC), Department of Child and Adolescent Psychiatry and Psychotherapy [Mannheim], Universität Heidelberg [Heidelberg] = Heidelberg University, Weill Medical College of Cornell University [New York], GlaxoSmithKline, Glaxo Smith Kline, Portland Veterans Administration Medical Center, Windeyer Institute for Medical Sciences, IRCCS Fondazione Stella Maris [Pisa], University Hospital Carl Gustav Carus [Dresden, Germany], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Centro Nacional de Analisis Genomico [Barcelona] (CNAG), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Diderot - Paris 7 (UPD7), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), European Network of Bipolar Research Expert Centres (ENBREC), ENBREC, Department of Psychiatry [Philadelphia], University of Pennsylvania, Physiopathologie des Maladies du Système Nerveux Central, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité de recherche Phytopharmacie et Médiateurs Chimiques (UPMC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Massachusetts General Hospital [Boston, MA, USA], University of Iowa [Iowa City], University of Edinburgh, Royal Hospital for Sick Children [Edinburgh], The Scripps Research Institute [La Jolla, San Diego], MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London-The Institute of Psychiatry, Institute of Medical Sciences, University of Aberdeen, Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London, Department of Genetic Epidemiology in Psychiatry [Mannhein], Universität Heidelberg [Heidelberg] = Heidelberg University-Central Institute of Mental Health Mannheim, Department of Psychiatry, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG), Trinity College Dublin-St. James's Hospital, School of Nursing, Louisiana State University (LSU), Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud University [Nijmegen]-Radboud University [Nijmegen], Department of Psychiatry and Human Behavior, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), Friedman Brain Institute, Mount Sinai, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Seaver Autism Center for Research and Treatment, Department of Neuroscience, Departments of Psychiatry, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai [New York] (MSSM)-Seaver Autism Center-, The Mindich Child Health & Development Institute, Friedman Brain Institute, The Mindich Child Health and Development Institute, University of California [San Francisco] (UC San Francisco), Department of Psychiatry, School of Clinical and Experimental Medicine, University of Alabama at Birmingham [ Birmingham] (UAB), Department of Human Genetics, Los Angeles, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC)-University of California [Los Angeles] (UCLA), McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Stanley Center for Psychiatric Research, Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Mental Health Sciences Unit, Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Institute of Human Genetics, Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Academic Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Department of Disability and Human Development, University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Department of Developmental Neuroscience, Neuropsychiatric Genetics Research Group, University of California [San Diego] (UC San Diego), John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], East London NHS Foundation Trust, Queen Mary University of London (QMUL), Max-Planck-Institut für Psychiatrie, Genetics Institute, Autism Speaks and the Department of Psychiatry, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), School of Neurology, Neurobiology and Psychiatry, Royal Victoria Infirmary, Medstar Research Institute, KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Deparment of Medical Genetics, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Department of Psychiatry and Behavioral Sciences, University of Chicago-NorthShore University Health System, Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Psychology Department, National University of Singapore (NUS), Department of Biochemistry and Molecular Biology, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indiana University System-Indiana University System, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University (VCU), University of Dundee School of Medicine, University of Dundee, Department of Biostatistics and Center for Statistical Genetics, University of Michigan System-University of Michigan System-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Department of Child Psychiatry, McGill University = Université McGill [Montréal, Canada]-Montreal Children's Hospital, McGill University Health Center [Montreal] (MUHC)-McGill University Health Center [Montreal] (MUHC), Howard University College of Medicine, University of Colorado [Denver], Center for Neurobehavioral Genetics, Department of Genomics, Department of Molecular Medicine, Department of Neurology, University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], Medical Research Council-Cardiff University, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Fisico-Quimica Biologica, Universidade Federal do Rio de Janeiro (UFRJ), Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Institute for Human Genetics, Neurosciences Centre of Excellence in Drug Discovery, GlaxoSmithKline Research and Development, Center for Genomic Medicine, Copenhagen University Hospital-Rigshospitalet [Copenhagen], Copenhagen University Hospital, Department of Clinical and Developmental Psychology, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Clinical Research Unit, Brain & Mind Research Institute-The University of Sydney, Functional Genomics, Neuronal Plasticity / Mouse Behaviour, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Department of Medical Epidemiology and Biostatistics (MEB), Autism and Communicative Disorders Centre, Center for Human Genetic Research, Center for neuroscience-University of California [Davis] (UC Davis), Bioinformatics Research Center, North Carolina State University [Raleigh] (NC State), Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU), Emory University [Atlanta, GA]-Atlanta Veterans Affairs Medical Center, Psychiatric Neurogenetics Section, Centre for Addiction and Mental Health, School of Medicine, University of St Andrews [Scotland], Institute of Human Genetics [Erlangen, Allemagne], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Ecology and Evolutionary Biology, Insitute of Neuroscience and Physiology, University of Gothenburg (GU), Institut de Génomique d'Evry (IG), Université Paris-Saclay-Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Developmental Brain and Behaviour Unit, University of Southampton, Division of Psychiatric Genomics, Rheinische Friedrich-Wilhelms-Universität Bonn, Statistical Genetics Group, Department of Human Genetics, Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Department of Psychiatry and Psychotherapy, Department of Mental Health, Johns Hopkins University and Hospital, W.M. Keck Biotechnology Resource Laboratory, Yale University [New Haven], Institutes of Neuroscience and Health and Society, Newcastle University [Newcastle], Genetic Epidemiology Unit, Queensland Institute of Medical Research, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], Sorlandet Hospital HF, Division of Psychiatry, University of Edinburgh-Royal Edinburgh Hospital, Medical Genetics Section, University of Edinburgh-Western General Hospital, Unit on the Genetic Basis of Mood and Anxiety Disorders, National Institutes of Health [Bethesda] (NIH), Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Division of Mental Health and Addiction, Molecular Psychiatry Laboratory, University of Michigan System-University of Michigan System-Molecular and Behavioral Neuroscience Institute, Research and Development, First Psychiatric Clinic-Alexander University Hospital, Registo Oncológico Regional-Sul, Instituto Português de Oncologia de Francisco Gentil, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford, St. Olav's Hospital, Brown University, Department of Molecular Biology, Cell Biology and Biochemistry, Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig-Universität Leipzig, Human Genetics Department, University of Pittsburgh (PITT), Institute for Biomedical Imaging and Life Science, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Head of Medical Sequencing, Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, The Centre for Applied Genomics, Toronto, The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Carolina Institute for Developmental Disabilities, Analytic and Translational Genetics Unit, Rush University Medical Center [Chicago], Julius-Maximilians-Universität Würzburg (JMU), Washington University in Saint Louis (WUSTL), Department of Statistics, Carnegie Mellon University [Pittsburgh] (CMU), Department of Experimental Clinical and Health Psychology, Universiteit Gent = Ghent University (UGENT), Department of Child and Adolescent Psychiatry, Georg-August-University = Georg-August-Universität Göttingen, Department of Medicine, Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CR CHUM), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM)-Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM), Departments of Psychiatry and Genetics, Yale School of Medicine [New Haven, Connecticut] (YSM), Maine Medical Center, Free University of Amsterdam, Department of Psychiatry and Behavioral Sciences [Stanford], Pathology and Laboratory Medicine, The Scripps Translational Science Institute and The Scripps Research Institute, Psychiatric Center Nordbaden, Division of Cancer Epidemiology and Genetics, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), The Scripps Translational Science Institute and Scripps Health, Child and Adolescent Psychiatry, Aarhus University Hospital, Molecular Neuropsychiatry and Development Laboratory, Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, The Translational Genomics Research Institute (TGen), Oxford Health NHS Foundation Trust, Marlborough House Secure Unit, Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, University of Toronto, Diamantina Institute, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Departments of Biostatistics and Medicine, University of Washington [Seattle], ArcelorMittal Maizières Research SA, ArcelorMittal, Institute of Mental Health, Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU)-Johns Hopkins University (JHU), Psychiatrie & Neuropsychologie, Farmacologie en Toxicologie, RS: CARIM School for Cardiovascular Diseases, RS: MHeNs School for Mental Health and Neuroscience, Biological Psychology, Educational Neuroscience, Clinical Neuropsychology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, Biophotonics and Medical Imaging, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, LEARN! - Brain, learning and development, EMGO+ - Mental Health, LEARN!, Neuroscience Campus Amsterdam - Brain Imaging Technology, LaserLaB - Biophotonics and Microscopy, State University of New York (SUNY)-State University of New York (SUNY), Department of Neuroscience and Physiology, Faculty of Land and Environment, Biosciences Research Division, Department of Environment and Primary Industries Victoria, Department of Epidemiology and Biostatistics, University of California [San Francisco] (UCSF), University of California-University of California, Universität Heidelberg [Heidelberg], Cornell University [New York]-Weill Medical College of Cornell University [New York], Bioinformatics, Internal Medicine, Portland Va Medical Center : Ganzini Linda MD, Technische Universität Dresden = Dresden University of Technology (TU Dresden)-University Hospital Carl Gustav Carus, Centro Nacional de Análisis Genómico (CNAG), Parc Científic de Barcelona (PCB), University of Pennsylvania [Philadelphia], Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Division Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Universität Heidelberg [Heidelberg]-Central Institute of Mental Health Mannheim, Radboud university [Nijmegen]-Radboud university [Nijmegen], University of California [Irvine] (UCI), University of California-University of California-University of California [Los Angeles] (UCLA), University of Bonn, University of California-University of California-David Geffen School of Medicine [Los Angeles], Cardiff University-Medical Research Council, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Bureau d'Économie Théorique et Appliquée (BETA), Institut National de la Recherche Agronomique (INRA)-Université de Strasbourg (UNISTRA)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie François JACOB (JACOB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, University of Oxford [Oxford], Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Universiteit Gent = Ghent University [Belgium] (UGENT), University of Göttingen - Georg-August-Universität Göttingen, Yale University School of Medicine, Georg-August-University [Göttingen], ANS - Amsterdam Neuroscience, Adult Psychiatry, Child Psychiatry, Psychiatry, Human genetics, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, Banaschewski T, Barchas JD, Barnes MR, Barrett TB, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen SE, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder EB, Black DW, Blackwood DH, Bloss CS, Boehnke M, Boomsma DI, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola NG, Buitelaar JK, Bunney WE, Buxbaum JD, Byerley WF, Byrne EM, Caesar S, Cahn W, Cantor RM, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger CR, Collier DA, Cook EH, Coon H, Cormand B, Corvin A, Coryell WH, Craig DW, Craig IW, Crosbie J, Cuccaro ML, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus EJ, Degenhardt F, Djurovic S, Donohoe GJ, Doyle AE, Duan J, Dudbridge F, Duketis E, Ebstein RP, Edenberg HJ, Elia J, Ennis S, Etain B, Fanous A, Farmer AE, Ferrier IN, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer NB, Freitag CM, Friedl M, Frisén L, Gallagher L, Gejman PV, Georgieva L, Gershon ES, Geschwind DH, Giegling I, Gill M, Gordon SD, Gordon-Smith K, Green EK, Greenwood TA, Grice DE, Gross M, Grozeva D, Guan W, Gurling H, De Haan L, Haines JL, Hakonarson H, Hallmayer J, Hamilton SP, Hamshere ML, Hansen TF, Hartmann AM, Hautzinger M, Heath AC, Henders AK, Herms S, Hickie IB, Hipolito M, Hoefels S, Holmans PA, Holsboer F, Hoogendijk WJ, Hottenga JJ, Hultman CM, Hus V, Ingason A, Ising M, Jamain S, Jones EG, Jones I, Jones L, Tzeng JY, Kähler AK, Kahn RS, Kandaswamy R, Keller MC, Kennedy JL, Kenny E, Kent L, Kim Y, Kirov GK, Klauck SM, Klei L, Knowles JA, Kohli MA, Koller DL, Konte B, Korszun A, Krabbendam L, Krasucki R, Kuntsi J, Kwan P, Landén M, Långström N, Lathrop M, Lawrence J, Lawson WB, Leboyer M, Ledbetter DH, Lee PH, Lencz T, Lesch KP, Levinson DF, Lewis CM, Li J, Lichtenstein P, Lieberman JA, Lin DY, Linszen DH, Liu C, Lohoff FW, Loo SK, Lord C, Lowe JK, Lucae S, MacIntyre DJ, Madden PA, Maestrini E, Magnusson PK, Mahon PB, Maier W, Malhotra AK, Mane SM, Martin CL, Martin NG, Mattheisen M, Matthews K, Mattingsdal M, McCarroll SA, McGhee KA, McGough JJ, McGrath PJ, McGuffin P, McInnis MG, McIntosh A, McKinney R, McLean AW, McMahon FJ, McMahon WM, McQuillin A, Medeiros H, Medland SE, Meier S, Melle I, Meng F, Meyer J, Middeldorp CM, Middleton L, Milanova V, Miranda A, Monaco AP, Montgomery GW, Moran JL, Moreno-De-Luca D, Morken G, Morris DW, Morrow EM, Moskvina V, Muglia P, Mühleisen TW, Muir WJ, Müller-Myhsok B, Murtha M, Myers RM, Myin-Germeys I, Neale MC, Nelson SF, Nievergelt CM, Nikolov I, Nimgaonkar V, Nolen WA, Nöthen MM, Nurnberger JI, Nwulia EA, Nyholt DR, O'Dushlaine C, Oades RD, Olincy A, Oliveira G, Olsen L, Ophoff RA, Osby U, Owen MJ, Palotie A, Parr JR, Paterson AD, Pato CN, Pato MT, Penninx BW, Pergadia ML, Pericak-Vance MA, Pickard BS, Pimm J, Piven J, Posthuma D, Potash JB, Poustka F, Propping P, Puri V, Quested DJ, Quinn EM, Ramos-Quiroga JA, Rasmussen HB, Raychaudhuri S, Rehnström K, Reif A, Ribasés M, Rice JP, Rietschel M, Roeder K, Roeyers H, Rossin L, Rothenberger A, Rouleau G, Ruderfer D, Rujescu D, Sanders AR, Sanders SJ, Santangelo SL, Sergeant JA, Schachar R, Schalling M, Schatzberg AF, Scheftner WA, Schellenberg GD, Scherer SW, Schork NJ, Schulze TG, Schumacher J, Schwarz M, Scolnick E, Scott LJ, Shi J, Shilling PD, Shyn SI, Silverman JM, Slager SL, Smalley SL, Smit JH, Smith EN, Sonuga-Barke EJ, St Clair D, State M, Steffens M, Steinhausen HC, Strauss JS, Strohmaier J, Stroup TS, Sutcliffe JS, Szatmari P, Szelinger S, Thirumalai S, Thompson RC, Todorov AA, Tozzi F, Treutlein J, Uhr M, van den Oord EJ, Van Grootheest G, Van Os J, Vicente AM, Vieland VJ, Vincent JB, Visscher PM, Walsh CA, Wassink TH, Watson SJ, Weissman MM, Werge T, Wienker TF, Wijsman EM, Willemsen G, Williams N, Willsey AJ, Witt SH, Xu W, Young AH, Yu TW, Zammit S, Zandi PP, Zhang P, Zitman FG, Zöllner S, Devlin B, Kelsoe JR, Sklar P, Daly MJ, O'Donovan MC, Craddock N, Sullivan PF, Smoller JW, Kendler KS, Wray NR, Cardiff University-Medical Research Council (MRC), HudsonAlpha Institute for Biotechnology, The Institute of Psychiatry-King‘s College London, Cornell University-Weill Medical College of Cornell University [New York], Stanford University Medical School, Technische Universität Dresden (TUD)-University Hospital Carl Gustav Carus, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, McGill University-Montreal Children's Hospital, Universidade Federal do Rio de Janeiro [Rio de Janeiro] (UFRJ), Stanford University School of Medicine [Stanford], Stanford University [Stanford], Eberhard Karls Universität Tübingen, Friedrich Alexander University [Erlangen-Nürnberg], Università di Bologna [Bologna] (UNIBO), University of Toronto-The Hospital for Sick Children-Department of Molecular Genetics-McLaughlin Centre, Washington University School of Medicine, Ghent University [Belgium] (UGENT), University of Goettingen, CHUM Research Center, Psychiatry and Behavioral Science, Stanford University School of Medicine [CA, USA], Aalborg Psychiatric Hospital, Aarhus University Hospital, Washington University in St Louis, Instituto Nacional de Saude Dr Ricardo Jorge, Oades, Robert D., Guellaen, Georges, Medical Oncology, Epidemiology, Child and Adolescent Psychiatry / Psychology, and Hematology
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Netherlands Twin Register (NTR) ,Medizin ,Inheritance Patterns ,Social Sciences ,AUTISM SPECTRUM DISORDERS ,nosology ,heritability ,COMMON SNPS ,0302 clinical medicine ,Crohn Disease ,SCHIZOPHRENIA ,Child ,Psychiatric genetics ,Genetics & Heredity ,MAJOR DEPRESSIVE DISORDER ,RISK ,0303 health sciences ,ATTENTION-DEFICIT/HYPERACTIVITY DISORDER ,120 000 Neuronal Coherence ,Mental Disorders ,Variants ,BIPOLAR DISORDER ,ASSOCIATION ,Genomic disorders and inherited multi-system disorders [DCN PAC - Perception action and control IGMD 3] ,Psychiatric Disorders ,CROHNS-DISEASE ,3. Good health ,Schizophrenia ,genetic association study ,Medical genetics ,Major depressive disorder ,SNPs ,Adult ,medicine.medical_specialty ,genetic etiology ,medical genetics ,DEFICIT HYPERACTIVITY DISORDER ,Biology ,Polymorphism, Single Nucleotide ,behavioral disciplines and activities ,Article ,Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory [IGMD 3] ,Heritability ,Genetic Heterogeneity ,03 medical and health sciences ,Prevalence of mental disorders ,mental disorders ,[SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology ,Genetics ,medicine ,ddc:61 ,Humans ,Attention deficit hyperactivity disorder ,Genetic Predisposition to Disease ,[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology ,DCN PAC - Perception action and control NCEBP 9 - Mental health ,ddc:610 ,Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters ,Bipolar disorder ,Psychiatry ,030304 developmental biology ,Depressive Disorder, Major ,Genome, Human ,Genetic heterogeneity ,medicine.disease ,schizophrenia ,Attention Deficit Disorder with Hyperactivity ,Child Development Disorders, Pervasive ,Perturbações do Desenvolvimento Infantil e Saúde Mental ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
AM Vicente - Cross-Disorder Group of the Psychiatric Genomics Consortium Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
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- 2013
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20. The influence of Generalized Anxiety Disorder on Executive Functions in children with ADHD.
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Menghini D, Armando M, Calcagni M, Napolitano C, Pasqualetti P, Sergeant JA, Pani P, and Vicari S
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- Adolescent, Anxiety Disorders epidemiology, Attention Deficit Disorder with Hyperactivity epidemiology, Child, Female, Humans, Inhibition, Psychological, Male, Neuropsychological Tests, Psychiatric Status Rating Scales, Statistics, Nonparametric, Anxiety Disorders complications, Attention Deficit Disorder with Hyperactivity complications, Executive Function physiology
- Abstract
The present study was aimed at verifying whether the presence of generalized anxiety disorder (GAD) affects executive functions in children with attention-deficit hyperactivity disorder (ADHD). Two groups of children with ADHD were selected for the study according to the presence or absence of GAD. The first group of 28 children with ADHD with GAD (mean age: 9 ± 1.2; males/females: 24/4) was matched for gender, age, IQ, psychiatric comorbidity with a second group of 29 children with ADHD without GAD (mean age: 8.8 ± 0.7; males/females: 26/3). The two groups with ADHD were compared to 28 typically developing children (mean age: 8.3 ± 1.3; males/females: 23/5) on different measures involving processes especially important in inhibitory control such as rule maintenance, stimulus detection, action selection and action execution. Our results indicated that, differently from children with ADHD with GAD, only the group with ADHD without GAD showed a deficit in inhibitory control. Comorbid subgroups should be differentiated, especially, to develop specific and efficient therapeutic interventions in ADHD.
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- 2018
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21. Familiality of Co-existing ADHD and Tic Disorders: Evidence from a Large Sibling Study.
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Roessner V, Banaschewski T, Becker A, Buse J, Wanderer S, Buitelaar JK, Sergeant JA, Sonuga-Barke EJ, Gill M, Manor I, Miranda A, Mulas F, Oades RD, Roeyers H, Steinhausen HC, Faraone SV, Asherson P, and Rothenberger A
- Abstract
Background: The association of attention-deficit/hyperactivity disorder (ADHD) and tic disorder (TD) is frequent and clinically important. Very few and inconclusive attempts have been made to clarify if and how the combination of ADHD+TD runs in families., Aim: To determine the first time in a large-scale ADHD sample whether ADHD+TD increases the risk of ADHD+TD in siblings and, also the first time, if this is independent of their psychopathological vulnerability in general., Methods: The study is based on the International Multicenter ADHD Genetics (IMAGE) study. The present sub-sample of 2815 individuals included ADHD-index patients with co-existing TD (ADHD+TD, n = 262) and without TD (ADHD-TD, n = 947) as well as their 1606 full siblings (n = 358 of the ADHD+TD index patients and n = 1248 of the ADHD-TD index patients). We assessed psychopathological symptoms in index patients and siblings by using the Strength and Difficulties Questionnaire (SDQ) and the parent and teacher Conners' long version Rating Scales (CRS). For disorder classification the Parental Account of Childhood Symptoms (PACS-Interview) was applied in n = 271 children. Odds ratio with the GENMOD procedure (PROCGENMOD) was used to test if the risk for ADHD, TD, and ADHD+TD in siblings was associated with the related index patients' diagnoses. In order to get an estimate for specificity we compared the four groups for general psychopathological symptoms., Results: Co-existing ADHD+TD in index patients increased the risk of both comorbid ADHD+TD and TD in the siblings of these index patients. These effects did not extend to general psychopathology., Interpretation: Co-existence of ADHD+TD may segregate in families. The same holds true for TD (without ADHD). Hence, the segregation of TD (included in both groups) seems to be the determining factor, independent of further behavioral problems. This close relationship between ADHD and TD supports the clinical approach to carefully assess ADHD in any case of TD.
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- 2016
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22. Angiogenic, neurotrophic, and inflammatory system SNPs moderate the association between birth weight and ADHD symptom severity.
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Smith TF, Anastopoulos AD, Garrett ME, Arias-Vasquez A, Franke B, Oades RD, Sonuga-Barke E, Asherson P, Gill M, Buitelaar JK, Sergeant JA, Kollins SH, Faraone SV, and Ashley-Koch A
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- Angiogenesis Inducing Agents therapeutic use, Attention Deficit Disorder with Hyperactivity drug therapy, Birth Weight, Female, Humans, Inflammation genetics, Male, Parents, Attention Deficit Disorder with Hyperactivity genetics, Nerve Growth Factors genetics, Polymorphism, Single Nucleotide genetics
- Abstract
Low birth weight is associated with increased risk for Attention-Deficit/Hyperactivity Disorder (ADHD); however, the etiological underpinnings of this relationship remain unclear. This study investigated if genetic variants in angiogenic, dopaminergic, neurotrophic, kynurenine, and cytokine-related biological pathways moderate the relationship between birth weight and ADHD symptom severity. A total of 398 youth from two multi-site, family-based studies of ADHD were included in the analysis. The sample consisted of 360 ADHD probands, 21 affected siblings, and 17 unaffected siblings. A set of 164 SNPs from 31 candidate genes, representing five biological pathways, were included in our analyses. Birth weight and gestational age data were collected from a state birth registry, medical records, and parent report. Generalized Estimating Equations tested for main effects and interactions between individual SNPs and birth weight centile in predicting ADHD symptom severity. SNPs within neurotrophic (NTRK3) and cytokine genes (CNTFR) were associated with ADHD inattentive symptom severity. There was no main effect of birth weight centile on ADHD symptom severity. SNPs within angiogenic (NRP1 & NRP2), neurotrophic (NTRK1 & NTRK3), cytokine (IL16 & S100B), and kynurenine (CCBL1 & CCBL2) genes moderate the association between birth weight centile and ADHD symptom severity. The SNP main effects and SNP × birth weight centile interactions remained significant after adjusting for multiple testing. Genetic variability in angiogenic, neurotrophic, and inflammatory systems may moderate the association between restricted prenatal growth, a proxy for an adverse prenatal environment, and risk to develop ADHD., (© 2014 Wiley Periodicals, Inc.)
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- 2014
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23. Quantitative linkage for autism spectrum disorders symptoms in attention-deficit/hyperactivity disorder: significant locus on chromosome 7q11.
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Nijmeijer JS, Arias-Vásquez A, Rommelse NN, Altink ME, Buschgens CJ, Fliers EA, Franke B, Minderaa RB, Sergeant JA, Buitelaar JK, Hoekstra PJ, and Hartman CA
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- Attention, Child, Child Development Disorders, Pervasive physiopathology, Chromosome Mapping, Female, Humans, Male, Surveys and Questionnaires, Attention Deficit Disorder with Hyperactivity genetics, Child Development Disorders, Pervasive genetics, Chromosomes, Human, Pair 7 genetics, Genetic Linkage
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We studied 261 ADHD probands and 354 of their siblings to assess quantitative trait loci associated with autism spectrum disorder symptoms (as measured by the Children's Social Behavior Questionnaire (CSBQ)) using a genome-wide linkage approach, followed by locus-wide association analysis. A genome-wide significant locus for the CSBQ subscale addressing social interaction was found on chromosome 7q11, with suggestive signals supporting this locus on three other CSBQ subscales. We identified two other suggestive loci for the CSBQ total scale and individual subscales on chromosomes 4q35 and 7p12. Fine-mapping the significantly linked locus resulted in interesting candidate genes, although their association was not significant after permutation testing.
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- 2014
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24. Authors' reply.
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Groenman AP, Oosterlaan J, Rommelse NN, Franke B, Greven CU, Hoekstra PJ, Hartman CA, Luman M, Roeyers H, Oades RD, Sergeant JA, Buitelaar JK, and Faraone SV
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- Female, Humans, Male, Attention Deficit Disorder with Hyperactivity drug therapy, Attention Deficit and Disruptive Behavior Disorders drug therapy, Central Nervous System Stimulants adverse effects, Conduct Disorder drug therapy, Substance-Related Disorders etiology, Tobacco Use Disorder etiology
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- 2014
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25. Abnormal striatal BOLD responses to reward anticipation and reward delivery in ADHD.
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Furukawa E, Bado P, Tripp G, Mattos P, Wickens JR, Bramati IE, Alsop B, Ferreira FM, Lima D, Tovar-Moll F, Sergeant JA, and Moll J
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- Adult, Case-Control Studies, Female, Humans, Magnetic Resonance Imaging, Male, Young Adult, Attention Deficit Disorder with Hyperactivity physiopathology, Corpus Striatum physiology, Reward
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Altered reward processing has been proposed to contribute to the symptoms of attention deficit hyperactivity disorder (ADHD). The neurobiological mechanism underlying this alteration remains unclear. We hypothesize that the transfer of dopamine release from reward to reward-predicting cues, as normally observed in animal studies, may be deficient in ADHD. Functional magnetic resonance imaging (fMRI) was used to investigate striatal responses to reward-predicting cues and reward delivery in a classical conditioning paradigm. Data from 14 high-functioning and stimulant-naïve young adults with elevated lifetime symptoms of ADHD (8 males, 6 females) and 15 well-matched controls (8 males, 7 females) were included in the analyses. During reward anticipation, increased blood-oxygen-level-dependent (BOLD) responses in the right ventral and left dorsal striatum were observed in controls, but not in the ADHD group. The opposite pattern was observed in response to reward delivery; the ADHD group demonstrated significantly greater BOLD responses in the ventral striatum bilaterally and the left dorsal striatum relative to controls. In the ADHD group, the number of current hyperactivity/impulsivity symptoms was inversely related to ventral striatal responses during reward anticipation and positively associated with responses to reward. The BOLD response patterns observed in the striatum are consistent with impaired predictive dopamine signaling in ADHD, which may explain altered reward-contingent behaviors and symptoms of ADHD.
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- 2014
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26. Candidate genetic pathways for attention-deficit/hyperactivity disorder (ADHD) show association to hyperactive/impulsive symptoms in children with ADHD.
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Bralten J, Franke B, Waldman I, Rommelse N, Hartman C, Asherson P, Banaschewski T, Ebstein RP, Gill M, Miranda A, Oades RD, Roeyers H, Rothenberger A, Sergeant JA, Oosterlaan J, Sonuga-Barke E, Steinhausen HC, Faraone SV, Buitelaar JK, and Arias-Vásquez A
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- Adolescent, Attention Deficit Disorder with Hyperactivity epidemiology, Child, Child, Preschool, Europe epidemiology, Female, Genotype, Humans, Hyperkinesis epidemiology, Impulsive Behavior epidemiology, Israel epidemiology, Male, Phenotype, Psychiatric Status Rating Scales, Severity of Illness Index, Attention Deficit Disorder with Hyperactivity genetics, Genetic Association Studies methods, Hyperkinesis genetics, Impulsive Behavior genetics
- Abstract
Objective: Because multiple genes with small effect sizes are assumed to play a role in attention-deficit/hyperactivity disorder (ADHD) etiology, considering multiple variants within the same analysis likely increases the total explained phenotypic variance, thereby boosting the power of genetic studies. This study investigated whether pathway-based analysis could bring scientists closer to unraveling the biology of ADHD., Method: The pathway was described as a predefined gene selection based on a well-established database or literature data. Common genetic variants in pathways involved in dopamine/norepinephrine and serotonin neurotransmission and genes involved in neuritic outgrowth were investigated in cases from the International Multicentre ADHD Genetics (IMAGE) study. Multivariable analysis was performed to combine the effects of single genetic variants within the pathway genes. Phenotypes were DSM-IV symptom counts for inattention and hyperactivity/impulsivity (n = 871) and symptom severity measured with the Conners Parent (n = 930) and Teacher (n = 916) Rating Scales., Results: Summing genetic effects of common genetic variants within the pathways showed a significant association with hyperactive/impulsive symptoms ((p)empirical = .007) but not with inattentive symptoms ((p)empirical = .73). Analysis of parent-rated Conners hyperactive/impulsive symptom scores validated this result ((p)empirical = .0018). Teacher-rated Conners scores were not associated. Post hoc analyses showed a significant contribution of all pathways to the hyperactive/impulsive symptom domain (dopamine/norepinephrine, (p)empirical = .0004; serotonin, (p)empirical = .0149; neuritic outgrowth, (p)empirical = .0452)., Conclusion: The present analysis shows an association between common variants in 3 genetic pathways and the hyperactive/impulsive component of ADHD. This study demonstrates that pathway-based association analyses, using quantitative measurements of ADHD symptom domains, can increase the power of genetic analyses to identify biological risk factors involved in this disorder., (Copyright © 2013 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.)
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- 2013
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27. Proactive and reactive control of movement are differently affected in Attention Deficit Hyperactivity Disorder children.
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Pani P, Menghini D, Napolitano C, Calcagni M, Armando M, Sergeant JA, and Vicari S
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- Child, Child Behavior, Female, Humans, Individuality, Male, Neuropsychological Tests, Reaction Time physiology, Attention Deficit Disorder with Hyperactivity physiopathology, Attention Deficit Disorder with Hyperactivity psychology, Inhibition, Psychological, Movement physiology, Psychomotor Performance physiology
- Abstract
Attention-Deficit/Hyperactivity Disorder children are impaired in the ability to interrupt an ongoing action in relation to a sudden change in the environment (reactive control, measured by stop signal reaction time, SSRT). Less investigated is the ability to control the response when it is known in advance that it will be required to stop (proactive control, measured by change in Reaction time, RT). The study is aimed at exploring both the reactive and the proactive inhibitory control in a group of ADHD children compared to a group of age-matched controls. ADHD children (N=28) and Controls (N=28) performed 4 tasks: 2 tasks required to respond to the appearance of the go-signals (go task and nostop task) and 2 tasks to respond to the go signals in a context in which sometimes a restrain or suppression of the response was required (go-nogo task and stop task). ADHD children showed a longer SSRT compared to controls. Both groups showed an increment in RT by comparing the go-nogo to the go task and an increment in RT and SD by comparing the stop to the nostop task. ADHD children showed higher intra-individual variability (SD) compared to controls only in the stop and nostop task. ADHD children showed impaired reactive control but preserved proactive control, and the physical appearance of the go signal affected their reaction times intra-individual variability. A comparison between the reactive and proactive controls helps in defining neuropsychological profiles of ADHD children and can inspires therapeutic behavioral-cognitive strategies for response control., (Copyright © 2013 Elsevier Ltd. All rights reserved.)
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- 2013
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28. Association between DRD2/DRD4 interaction and conduct disorder: a potential developmental pathway to alcohol dependence.
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Mota NR, Bau CH, Banaschewski T, Buitelaar JK, Ebstein RP, Franke B, Gill M, Kuntsi J, Manor I, Miranda A, Mulas F, Oades RD, Roeyers H, Rothenberger A, Sergeant JA, Sonuga-Barke EJ, Steinhausen HC, Faraone SV, and Asherson P
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- Adolescent, Child, Comorbidity, Conduct Disorder complications, Female, Humans, Male, Prognosis, Alcoholism etiology, Conduct Disorder genetics, Polymorphism, Genetic genetics, Receptors, Dopamine D2 genetics, Receptors, Dopamine D4 genetics
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- 2013
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29. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.
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Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, Banaschewski T, Barchas JD, Barnes MR, Barrett TB, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen SE, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder EB, Black DW, Blackwood DH, Bloss CS, Boehnke M, Boomsma DI, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola NG, Buitelaar JK, Bunney WE, Buxbaum JD, Byerley WF, Byrne EM, Caesar S, Cahn W, Cantor RM, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger CR, Collier DA, Cook EH, Coon H, Cormand B, Corvin A, Coryell WH, Craig DW, Craig IW, Crosbie J, Cuccaro ML, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus EJ, Degenhardt F, Djurovic S, Donohoe GJ, Doyle AE, Duan J, Dudbridge F, Duketis E, Ebstein RP, Edenberg HJ, Elia J, Ennis S, Etain B, Fanous A, Farmer AE, Ferrier IN, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer NB, Freitag CM, Friedl M, Frisén L, Gallagher L, Gejman PV, Georgieva L, Gershon ES, Geschwind DH, Giegling I, Gill M, Gordon SD, Gordon-Smith K, Green EK, Greenwood TA, Grice DE, Gross M, Grozeva D, Guan W, Gurling H, De Haan L, Haines JL, Hakonarson H, Hallmayer J, Hamilton SP, Hamshere ML, Hansen TF, Hartmann AM, Hautzinger M, Heath AC, Henders AK, Herms S, Hickie IB, Hipolito M, Hoefels S, Holmans PA, Holsboer F, Hoogendijk WJ, Hottenga JJ, Hultman CM, Hus V, Ingason A, Ising M, Jamain S, Jones EG, Jones I, Jones L, Tzeng JY, Kähler AK, Kahn RS, Kandaswamy R, Keller MC, Kennedy JL, Kenny E, Kent L, Kim Y, Kirov GK, Klauck SM, Klei L, Knowles JA, Kohli MA, Koller DL, Konte B, Korszun A, Krabbendam L, Krasucki R, Kuntsi J, Kwan P, Landén M, Långström N, Lathrop M, Lawrence J, Lawson WB, Leboyer M, Ledbetter DH, Lee PH, Lencz T, Lesch KP, Levinson DF, Lewis CM, Li J, Lichtenstein P, Lieberman JA, Lin DY, Linszen DH, Liu C, Lohoff FW, Loo SK, Lord C, Lowe JK, Lucae S, MacIntyre DJ, Madden PA, Maestrini E, Magnusson PK, Mahon PB, Maier W, Malhotra AK, Mane SM, Martin CL, Martin NG, Mattheisen M, Matthews K, Mattingsdal M, McCarroll SA, McGhee KA, McGough JJ, McGrath PJ, McGuffin P, McInnis MG, McIntosh A, McKinney R, McLean AW, McMahon FJ, McMahon WM, McQuillin A, Medeiros H, Medland SE, Meier S, Melle I, Meng F, Meyer J, Middeldorp CM, Middleton L, Milanova V, Miranda A, Monaco AP, Montgomery GW, Moran JL, Moreno-De-Luca D, Morken G, Morris DW, Morrow EM, Moskvina V, Muglia P, Mühleisen TW, Muir WJ, Müller-Myhsok B, Murtha M, Myers RM, Myin-Germeys I, Neale MC, Nelson SF, Nievergelt CM, Nikolov I, Nimgaonkar V, Nolen WA, Nöthen MM, Nurnberger JI, Nwulia EA, Nyholt DR, O'Dushlaine C, Oades RD, Olincy A, Oliveira G, Olsen L, Ophoff RA, Osby U, Owen MJ, Palotie A, Parr JR, Paterson AD, Pato CN, Pato MT, Penninx BW, Pergadia ML, Pericak-Vance MA, Pickard BS, Pimm J, Piven J, Posthuma D, Potash JB, Poustka F, Propping P, Puri V, Quested DJ, Quinn EM, Ramos-Quiroga JA, Rasmussen HB, Raychaudhuri S, Rehnström K, Reif A, Ribasés M, Rice JP, Rietschel M, Roeder K, Roeyers H, Rossin L, Rothenberger A, Rouleau G, Ruderfer D, Rujescu D, Sanders AR, Sanders SJ, Santangelo SL, Sergeant JA, Schachar R, Schalling M, Schatzberg AF, Scheftner WA, Schellenberg GD, Scherer SW, Schork NJ, Schulze TG, Schumacher J, Schwarz M, Scolnick E, Scott LJ, Shi J, Shilling PD, Shyn SI, Silverman JM, Slager SL, Smalley SL, Smit JH, Smith EN, Sonuga-Barke EJ, St Clair D, State M, Steffens M, Steinhausen HC, Strauss JS, Strohmaier J, Stroup TS, Sutcliffe JS, Szatmari P, Szelinger S, Thirumalai S, Thompson RC, Todorov AA, Tozzi F, Treutlein J, Uhr M, van den Oord EJ, Van Grootheest G, Van Os J, Vicente AM, Vieland VJ, Vincent JB, Visscher PM, Walsh CA, Wassink TH, Watson SJ, Weissman MM, Werge T, Wienker TF, Wijsman EM, Willemsen G, Williams N, Willsey AJ, Witt SH, Xu W, Young AH, Yu TW, Zammit S, Zandi PP, Zhang P, Zitman FG, Zöllner S, Devlin B, Kelsoe JR, Sklar P, Daly MJ, O'Donovan MC, Craddock N, Sullivan PF, Smoller JW, Kendler KS, and Wray NR
- Subjects
- Adult, Attention Deficit Disorder with Hyperactivity genetics, Bipolar Disorder genetics, Child, Child Development Disorders, Pervasive genetics, Crohn Disease genetics, Depressive Disorder, Major genetics, Genetic Heterogeneity, Genome, Human, Humans, Inheritance Patterns, Schizophrenia genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Mental Disorders genetics, Polymorphism, Single Nucleotide
- Abstract
Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
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- 2013
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30. Substance use disorders in adolescents with attention deficit hyperactivity disorder: a 4-year follow-up study.
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Groenman AP, Oosterlaan J, Rommelse N, Franke B, Roeyers H, Oades RD, Sergeant JA, Buitelaar JK, and Faraone SV
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- Adolescent, Age of Onset, Attention Deficit Disorder with Hyperactivity epidemiology, Attention Deficit and Disruptive Behavior Disorders epidemiology, Case-Control Studies, Child, Child, Preschool, Conduct Disorder epidemiology, Europe epidemiology, Follow-Up Studies, Humans, Prevalence, Psychotropic Drugs, Risk Factors, Substance-Related Disorders epidemiology, Tobacco Use Disorder epidemiology, Tobacco Use Disorder psychology, Attention Deficit Disorder with Hyperactivity complications, Attention Deficit and Disruptive Behavior Disorders complications, Conduct Disorder complications, Substance-Related Disorders psychology
- Abstract
Aim: To examine the relationship between a childhood diagnosis of attention deficit hyperactivity disorder (ADHD) with or without oppositional defiant disorder (ODD)/conduct disorder (CD) and the development of later alcohol/drug use disorder [psychoactive substance use disorder (PSUD)] and nicotine dependence in a large European sample of ADHD probands, their siblings and healthy control subjects., Participants, Design and Setting: Subjects (n = 1017) were participants in the Belgian, Dutch and German part of the International Multicenter ADHD Genetics (IMAGE) study. IMAGE families were identified through ADHD probands aged 5-17 years attending out-patient clinics, and control subjects from the same geographic areas. After a follow-up period (mean: 4.4 years) this subsample was re-assessed at a mean age of 16.4 years., Measurements: PSUD and nicotine dependence were assessed using the Diagnostic Interview Schedule for Children, Alcohol Use Disorders Identification Test, Drug Abuse Screening Test and Fagerström test for Nicotine Dependence., Findings: The ADHD sample was at higher risk of developing PSUD [hazard ratio (HR) = 1.77, 95% confidence interval (CI) = 1.05-3.00] and nicotine dependence (HR = 8.61, 95% CI = 2.44-30.34) than healthy controls. The rates of these disorders were highest for ADHD youth who also had CD, but could not be accounted for by this comorbidity. We did not find an increased risk of developing PSUD (HR = 1.18, 95% CI = 0.62-2.27) or nicotine dependence (HR = 1.89, 95% CI = 0.46-7.77) among unaffected siblings of ADHD youth., Conclusions: A childhood diagnosis of attention deficit hyperactivity disorder is a risk factor for psychoactive substance use disorder and nicotine dependence in adolescence and comorbid conduct disorder, but not oppositional defiant disorder, further increases the risk of developing psychoactive substance use disorder and nicotine dependence., (© 2013 Society for the Study of Addiction.)
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- 2013
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31. Stimulant treatment for attention-deficit hyperactivity disorder and risk of developing substance use disorder.
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Groenman AP, Oosterlaan J, Rommelse NN, Franke B, Greven CU, Hoekstra PJ, Hartman CA, Luman M, Roeyers H, Oades RD, Sergeant JA, Buitelaar JK, and Faraone SV
- Subjects
- Adolescent, Case-Control Studies, Central Nervous System Stimulants therapeutic use, Child, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Prospective Studies, Risk, Substance-Related Disorders diagnosis, Tobacco Use Disorder diagnosis, Attention Deficit Disorder with Hyperactivity drug therapy, Attention Deficit and Disruptive Behavior Disorders drug therapy, Central Nervous System Stimulants adverse effects, Conduct Disorder drug therapy, Substance-Related Disorders etiology, Tobacco Use Disorder etiology
- Abstract
Background: Attention-deficit hyperactivity disorder (ADHD) is linked to increased risk for substance use disorders and nicotine dependence., Aims: To examine the effects of stimulant treatment on subsequent risk for substance use disorder and nicotine dependence in a prospective longitudinal ADHD case-control study., Method: At baseline we assessed ADHD, conduct disorder and oppositional defiant disorder. Substance use disorders, nicotine dependence and stimulant treatment were assessed retrospectively after a mean follow-up of 4.4 years, at a mean age of 16.4 years., Results: Stimulant treatment of ADHD was linked to a reduced risk for substance use disorders compared with no stimulant treatment, even after controlling for conduct disorder and oppositional defiant disorder (hazard ratio (HR) = 1.91, 95% CI 1.10-3.36), but not to nicotine dependence (HR = 1.12, 95% CI 0.45-2.96). Within the stimulant-treated group, a protective effect of age at first stimulant use on substance use disorder development was found, which diminished with age, and seemed to reverse around the age of 18., Conclusions: Stimulant treatment appears to lower the risk of developing substance use disorders and does not have an impact on the development of nicotine dependence in adolescents with ADHD.
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- 2013
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32. A behavioral neuroenergetics theory of ADHD.
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Killeen PR, Russell VA, and Sergeant JA
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- Attention physiology, Attention Deficit Disorder with Hyperactivity genetics, Female, Humans, Lactic Acid metabolism, Male, Memory, Short-Term physiology, Norepinephrine physiology, Psychomotor Performance physiology, Receptors, Adrenergic physiology, Attention Deficit Disorder with Hyperactivity physiopathology, Attention Deficit Disorder with Hyperactivity psychology, Energy Metabolism physiology
- Abstract
Energetic insufficiency in neurons due to inadequate lactate supply is implicated in several neuropathologies, including attention-deficit/hyperactivity disorder (ADHD). By formalizing the mechanism and implications of such constraints on function, the behavioral Neuroenergetics Theory (NeT) predicts the results of many neuropsychological tasks involving individuals with ADHD and kindred dysfunctions, and entails many novel predictions. The associated diffusion model predicts that response times will follow a mixture of Wald distributions from the attentive state, and ex-Wald distributions after attentional lapses. It is inferred from the model that ADHD participants can bring only 75-85% of the neurocognitive energy to bear on tasks, and allocate only about 85% of the cognitive resources of comparison groups. Parameters derived from the model in specific tasks predict performance in other tasks, and in clinical conditions often associated with ADHD. The primary action of therapeutic stimulants is to increase norepinephrine in active regions of the brain. This activates glial adrenoceptors, increasing the release of lactate from astrocytes to fuel depleted neurons. The theory is aligned with other approaches and integrated with more general theories of ADHD. Therapeutic implications are explored., (Copyright © 2013 Elsevier Ltd. All rights reserved.)
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- 2013
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33. Comorbid anxiety and neurocognitive dysfunctions in children with ADHD.
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Bloemsma JM, Boer F, Arnold R, Banaschewski T, Faraone SV, Buitelaar JK, Sergeant JA, Rommelse N, and Oosterlaan J
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- Adolescent, Anxiety psychology, Attention Deficit Disorder with Hyperactivity psychology, Child, Child, Preschool, Cognition Disorders psychology, Diagnostic and Statistical Manual of Mental Disorders, Executive Function physiology, Female, Humans, Inhibition, Psychological, Male, Neuropsychological Tests, Reaction Time physiology, Severity of Illness Index, Young Adult, Anxiety complications, Attention Deficit Disorder with Hyperactivity complications, Cognition Disorders complications
- Abstract
Previous research established that children with ADHD and comorbid anxiety have a later age of ADHD onset, show less off-task and hyperactive behavior, and have more school problems than children with ADHD alone. Comorbid anxiety appears to ameliorate behavioral inhibition deficits, worsen working memory problems, and lengthen reaction times in ADHD. This study investigated the effect of comorbid anxiety on a broad range of neurocognitive functions and includes child-, parent- and teacher reports of anxiety. The sample consisted of 509 children in the age range 5-19 years, including 238 children with a diagnosis of ADHD combined subtype and 271 normal control children. Children were tested on a broad battery of neurocognitive tasks that proved highly sensitive to ADHD in previous work. Linear Structural Equation Modeling (SEM) was used to estimate the effect of comorbid anxiety on the neurocognitive functions. Child reported anxiety was associated with slower motor speed and response speed and better behavioral inhibition. Teacher reported anxiety was related to worse time production. Parent reported anxiety was not significantly associated with any of the neurocognitive functions. Compared to parent and teacher reports of anxiety, child reported comorbid anxiety shows foremost the largest associations with the neurocognitive dysfunctions observed in children with ADHD. This stresses the importance of including child self-reported anxiety assessments in clinical and research practice.
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- 2013
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34. Neuropsychological correlates of emotional lability in children with ADHD.
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Banaschewski T, Jennen-Steinmetz C, Brandeis D, Buitelaar JK, Kuntsi J, Poustka L, Sergeant JA, Sonuga-Barke EJ, Frazier-Wood AC, Albrecht B, Chen W, Uebel H, Schlotz W, van der Meere JJ, Gill M, Manor I, Miranda A, Mulas F, Oades RD, Roeyers H, Rothenberger A, Steinhausen HC, Faraone SV, and Asherson P
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- Adolescent, Child, Female, Humans, Male, Neuropsychological Tests, Severity of Illness Index, Siblings, Attention Deficit and Disruptive Behavior Disorders physiopathology, Emotions physiology, Psychomotor Performance physiology
- Abstract
Background: Emotional lability (EL) is commonly seen in patients with attention-deficit/hyperactivity disorder (ADHD). The reasons for this association remain currently unknown. To address this question, we examined the relationship between ADHD and EL symptoms, and performance on a range of neuropsychological tasks to clarify whether EL symptoms are predicted by particular cognitive and/or motivational dysfunctions and whether these associations are mediated by the presence of ADHD symptoms., Methods: A large multi-site sample of 424 carefully diagnosed ADHD cases and 564 unaffected siblings and controls aged 6-18 years performed a broad neuropsychological test battery, including a Go/No-Go Task, a warned four-choice Reaction Time task, the Maudsley Index of Childhood Delay Aversion and Digit span backwards. Neuropsychological variables were aggregated as indices of processing speed, response variability, executive functions, choice impulsivity and the influence of energetic and/or motivational factors. EL and ADHD symptoms were regressed on each neuropsychological variable in separate analyses controlling for age, gender and IQ, and, in subsequent regression analyses, for ADHD and EL symptoms respectively., Results: Neuropsychological variables significantly predicted ADHD and EL symptoms with moderate-to-low regression coefficients. However, the association between neuropsychological parameters on EL disappeared entirely when the effect of ADHD symptoms was taken into account, revealing that the association between the neuropsychological performance measures and EL is completely mediated statistically by variations in ADHD symptoms. Conversely, neuropsychological effects on ADHD symptoms remained after EL symptom severity was taken into account., Conclusions: The neuropsychological parameters examined, herein, predict ADHD more strongly than EL. They cannot explain EL symptoms beyond what is already accounted for by ADHD symptom severity. The association between EL and ADHD cannot be explained by these cognitive or motivational deficits. Alternative mechanisms, including overlapping genetic influences (pleiotropic effects) and/or alternative neuropsychological processes need to be considered., (© 2012 The Authors. Journal of Child Psychology and Psychiatry © 2012 Association for Child and Adolescent Mental Health.)
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- 2012
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35. Aetiology for the covariation between combined type ADHD and reading difficulties in a family study: the role of IQ.
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Cheung CH, Wood AC, Paloyelis Y, Arias-Vasquez A, Buitelaar JK, Franke B, Miranda A, Mulas F, Rommelse N, Sergeant JA, Sonuga-Barke EJ, Faraone SV, Asherson P, and Kuntsi J
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- Adolescent, Aptitude Tests, Attention Deficit Disorder with Hyperactivity psychology, Child, Dyslexia psychology, Female, Humans, Male, Surveys and Questionnaires, Wechsler Scales, Young Adult, Attention Deficit Disorder with Hyperactivity complications, Dyslexia complications, Intelligence, Siblings psychology
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Background: Twin studies using both clinical and population-based samples suggest that the frequent co-occurrence of attention deficit hyperactivity disorder (ADHD) and reading ability/disability (RD) is largely driven by shared genetic influences. While both disorders are associated with lower IQ, recent twin data suggest that the shared genetic variability between reading difficulties and ADHD inattention symptoms is largely independent from genetic influences contributing to general cognitive ability. The current study aimed to extend the previous findings that were based on rating scale measures in a population sample by examining the generalisability of the findings to a clinical population, and by measuring reading difficulties both with a rating scale and with an objective task. This study investigated the familial relationships between ADHD, reading difficulties and IQ in a sample of individuals diagnosed with ADHD combined type, their siblings and control sibling pairs., Methods: Multivariate familial models were run on data from 1,789 individuals at ages 6-19. Reading difficulties were measured with both rating scale and an objective task. IQ was obtained using the Wechsler Intelligence Scales (WISC-III/WAIS-III)., Results: Significant phenotypic (.2-.4) and familial (.3-.5) correlations were observed among ADHD, reading difficulties and IQ. Yet, 53%-72% of the overlapping familial influences between ADHD and reading difficulties were not shared with IQ., Conclusions: Our finding that familial influences shared with general cognitive ability, although present, do not account for the majority of the overlapping familial influences on ADHD and reading difficulties extends previous findings from a population-based study to a clinically ascertained sample with combined type ADHD., (© 2012 The Authors. Journal of Child Psychology and Psychiatry © 2012 Association for Child and Adolescent Mental Health.)
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- 2012
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36. The dopamine receptor D4 7-repeat allele influences neurocognitive functioning, but this effect is moderated by age and ADHD status: an exploratory study.
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Altink ME, Rommelse NN, Slaats-Willemse DI, Vásquez AA, Franke B, Buschgens CJ, Fliers EA, Faraone SV, Sergeant JA, Oosterlaan J, and Buitelaar JK
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- Adolescent, Age Factors, Case-Control Studies, Child, Child, Preschool, Female, Gene Frequency, Genetic Predisposition to Disease, Humans, Male, Neuropsychological Tests, Siblings, Young Adult, Attention Deficit Disorder with Hyperactivity genetics, Cognition, Minisatellite Repeats, Receptors, Dopamine D4 genetics
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Objectives: Evidence suggests the involvement of the dopamine D4 receptor gene (DRD4) in the pathogenesis of ADHD, but the exact mechanism is not well understood. Earlier reports on the effects of DRD4 polymorphisms on neurocognitive and neuroimaging measures are inconsistent. This study investigated the functional consequences of the 7-repeat allele of DRD4 on neurocognitive endophenotypes of ADHD in the Dutch subsample of the International Multicenter ADHD Genetics study., Methods: Participants were 350 children (5-11.5 years) and adolescents (11.6-19 years) with ADHD and their 195 non-affected siblings. An overall measure of neuropsychological functioning was derived by principal component analysis from five neurocognitive and five motor tasks. The effects of DRD4 and age were examined using Linear Mixed Model analyses., Results: The analyses were stratified for affected and non-affected participants after finding a significant three-way interaction between ADHD status, age and the 7-repeat allele. Apart from a main effect of age, a significant interaction effect of age and DRD4 was found in non-affected but not in affected participants, with non-affected adolescent carriers of the 7-repeat allele showing worse neuropsychological performance. In addition, carrying the 7-repeat allele of DRD4 was related to a significantly worse performance on verbal working memory in non-affected siblings, independent of age., Conclusions: These results might indicate that the effect of the DRD4 7-repeat allele on neuropsychological functioning is dependent on age and ADHD status.
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- 2012
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37. Categorical and Dimensional Definitions and Evaluations of Symptoms of ADHD: History of the SNAP and the SWAN Rating Scales.
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Swanson JM, Schuck S, Porter MM, Carlson C, Hartman CA, Sergeant JA, Clevenger W, Wasdell M, McCleary R, Lakes K, and Wigal T
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An earlier version of this article was originally submitted for publication in early 2000 to introduce a new dimensional of concept of Attention Deficit Hyperactivity Disorder (ADHD) provided by the Strengths and Weaknesses of ADHD-symptoms and Normal-behavior (SWAN) rating scale. The SWAN was developed to correct some obvious deficiencies of the Swanson, Nolan and Pelham (SNAP) rating scale that was based on the categorical concept of ADHD. The first submission was not accepted for publication, so a draft of the article was posted on a website (www.ADHD.net). The SWAN scale was published as a table in a review article (Swanson et al, 2001) to make it available to those interested in this dimensional approach to assessment of ADHD. Despite its relative inaccessibility, the SWAN has been used in several genetic studies of ADHD (e.g., Hay, Bennett, Levy, Sergeant, & Swanson, 2005; Cornish et al, 2005) and has been translated into several languages for European studies of ADHD (e.g., Lubke et al, 2006; Polderman et al, 2010) and into Spanish for studies in the United States (e.g., Lakes, Swanson, & Riggs, 2011; Kudo et al., this issue). Recently, invitations to include the SWAN in the PhenX Toolkit (www.phenx.org) for genomic studies (Hamilton et al, 2011) and to describe thedimensional approach of the SWAN for discussion of diagnostic (Swanson, Wigal, & Lakes, 2009) and ethical (Swanson, Wigal, Lakes, &Volkow, 2011) issues has convinced us that the unpublished article is still relevant after more than a decade, so it is presented here with some minor updates. We use examples (a) to document some consequences (e.g., over-identification of extreme cases) of using statistical cutoffs based on the assumption for a distribution of SNAP ratings that is highly skewed and (b) to show how the SWAN corrects the skewness of the SNAP by rewording the items on the scale and using a wider range of rating alternatives, which corrects the tendency to over-identify extreme cases.
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- 2012
38. RD, ADHD, and their comorbidity from a dual route perspective.
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de Jong CG, Licht R, Sergeant JA, and Oosterlaan J
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- Adolescent, Attention Deficit Disorder with Hyperactivity complications, Case-Control Studies, Child, Decision Making, Dyslexia complications, Female, Humans, Intelligence Tests, Male, Neuropsychological Tests, Phonetics, Reaction Time, Attention Deficit Disorder with Hyperactivity physiopathology, Dyslexia physiopathology
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In order to achieve further insight into the comorbidity of reading disorder (RD) and attention deficit/hyperactivity disorder (ADHD), lexical processing and rapid naming were studied in RD and ADHD. The Dual Route Cascaded model postulates that lexical processing contains two parallel processes: lexical route processing and sublexical route processing. An orthographic decision task and a phonological decision task were used to measure lexical and sublexical route processing, respectively. In addition, a rapid naming task was used to compare 27 children with RD, 18 children with ADHD, 20 children with ADHD+RD, and 29 controls. RD and ADHD shared impairments in accuracy of orthographic and phonological decision making as well as in rapid naming, which suggest that RD and ADHD may be overlapping disorders that share deficits in both lexical route and sublexical route processing. RD was dissociated from ADHD by being slower in both orthographical and phonological decision making that indicates unique deficits in RD on lexical and sublexical speed.
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- 2012
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39. CDH13 is associated with working memory performance in attention deficit/hyperactivity disorder.
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Arias-Vásquez A, Altink ME, Rommelse NN, Slaats-Willemse DI, Buschgens CJ, Fliers EA, Faraone SV, Sergeant JA, Oosterlaan J, Franke B, and Buitelaar JK
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- Adolescent, Child, Child, Preschool, DNA genetics, DNA isolation & purification, Female, Genetic Association Studies, Genotype, Humans, Inhibition, Psychological, Male, Netherlands, Neuropsychological Tests, Phenotype, Polymorphism, Single Nucleotide, Regression Analysis, Space Perception physiology, Visual Perception physiology, Wechsler Scales, Attention Deficit Disorder with Hyperactivity genetics, Attention Deficit Disorder with Hyperactivity psychology, Cadherins genetics, Memory, Short-Term physiology, Psychomotor Performance physiology
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Different analytic strategies, including linkage, association and meta-analysis support a role of CDH13 in the susceptibility to attention deficit/hyperactivity disorder (ADHD). CDH13 codes for cadherin 13 (or H-cadherin), which is a member of a family of calcium-dependent cell-cell adhesion proteins and a regulator of neural cell growth. We tested the association between CDH13 on three executive functioning tasks that are promising endophenotypes of ADHD. An adjusted linear regression analysis was performed in 190 ADHD-affected Dutch probands of the IMAGE project. Three executive functions were examined: inhibition, verbal and visuo-spatial working memory (WM). We tested 2632 single nucleotide polymorphisms (SNPs) within CDH13 and 20 kb up- and downstream of the gene (capturing regulatory sequences). To adjust for multiple testing within the gene, we applied stringent permutation steps. Intronic SNP rs11150556 is associated with performance on the Verbal WM task. No other SNP showed gene-wide significance with any of the analyzed traits, but a 72-kb SNP block located 446 kb upstream of SNP rs111500556 showed suggestive evidence for association (P-value range 1.20E-03 to 1.73E-04) with performance in the same Verbal WM task. This study is the first to examine CDH13 and neurocognitive functioning. The mechanisms underlying the associations between CDH13 and the clinical phenotype of ADHD and verbal WM are still unknown. As such, our study may be viewed as exploratory, with the results presented providing interesting hypotheses for further testing., (© 2011 The Authors. Genes, Brain and Behavior © 2011 Blackwell Publishing Ltd and International Behavioural and Neural Genetics Society.)
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- 2011
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40. ERPs associated with monitoring and evaluation of monetary reward and punishment in children with ADHD.
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van Meel CS, Heslenfeld DJ, Oosterlaan J, Luman M, and Sergeant JA
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- Attention Deficit Disorder with Hyperactivity physiopathology, Case-Control Studies, Child, Electroencephalography, Feedback, Psychological physiology, Female, Humans, Male, Motivation, Reinforcement, Psychology, Attention Deficit Disorder with Hyperactivity psychology, Evoked Potentials physiology, Punishment psychology, Reward
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Background: Several models of attention-deficit hyperactivity disorder (ADHD) propose abnormalities in the response to behavioural contingencies. Using event-related potentials (ERPs), the present study investigated the monitoring and subsequent evaluation of performance feedback resulting in either reward or punishment in children with ADHD (N = 18) and normal controls (N = 18) aged 8 to 12 years., Methods: Children performed a time production task, in which visual performance feedback was given after each response. To manipulate its motivational salience, feedback was coupled with monetary gains, losses or no incentives., Results: Performance feedback signalling omitted gains as well as omitted losses evoked a feedback-related negativity (FRN) in control children. The FRN, however, was entirely absent in children with ADHD in all conditions. Moreover, while losses elicited enhanced amplitudes of the late positive potential (LPP) in controls, omitted rewards had this effect in ADHD., Conclusions: The lack of modulation of the FRN by contingencies in ADHD suggests deficient detection of environmental cues as a function of their motivational significance. LPP findings suggest diminished response to punishment, but oversensitivity to the loss of desired rewards. These findings suggest that children with ADHD have problems assigning relative motivational significance to outcomes of their actions., (© 2011 The Authors. Journal of Child Psychology and Psychiatry © 2011 Association for Child and Adolescent Mental Health.)
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- 2011
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41. Pre-attentive processing in children with early and continuously-treated PKU. Effects of concurrent Phe level and lifetime dietary control.
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de Sonneville LM, Huijbregts SC, Licht R, Sergeant JA, and van Spronsen FJ
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- Adolescent, Case-Control Studies, Child, Diet, Evoked Potentials, Visual, Female, Humans, Male, Neuropsychological Tests, Phenylalanine analysis, Phenylketonurias blood, Time Factors, Attention physiology, Diet Therapy methods, Mental Processes physiology, Phenylalanine blood, Phenylketonurias psychology, Phenylketonurias therapy
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Sixty-four children, aged 7 to 14 years, with early-treated PKU, were compared with control children on visual evoked potential (VEP) amplitudes and latencies and auditory mismatch negativity (MMN) amplitudes. It was further investigated whether indices of dietary control would be associated with these evoked potentials parameters. There were no significant differences between controls and children with PKU in VEP- and MMN-indices. However, higher lifetime Phe levels were, in varying degree and stronger than concurrent Phe level, related to increased N75 amplitudes, suggesting abnormalities in attention, and longer P110 latencies, indicating a reduction in speed of neural processing, possibly due to deficits in myelination or reduced dopamine levels in brain and retina. Similarly, higher lifetime Phe levels and Index of Dietary Control (IDC) were associated with decreased MMN amplitudes, suggesting a reduced ability to respond to stimulus change and poorer triggering of the frontally mediated attention switch. In summary, the present study in children with PKU investigated bottom-up information processing, i.e., triggered by external events, a fundamental prerequisite for the individual's responsiveness to the outside world. Results provide evidence that quality of dietary control may affect the optimal development of these pre-attentive processes, and suggest the existence of windows of vulnerability to Phe exposure.
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- 2011
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42. The impact of study design and diagnostic approach in a large multi-centre ADHD study: Part 2: Dimensional measures of psychopathology and intelligence.
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Müller UC, Asherson P, Banaschewski T, Buitelaar JK, Ebstein RP, Eisenberg J, Gill M, Manor I, Miranda A, Oades RD, Roeyers H, Rothenberger A, Sergeant JA, Sonuga-Barke EJ, Thompson M, Faraone SV, and Steinhausen HC
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- Adult, Child, Diagnostic and Statistical Manual of Mental Disorders, Family Health, Family Relations, Female, Genetic Predisposition to Disease, Humans, Intelligence genetics, Male, Mental Disorders diagnosis, Mental Disorders epidemiology, Mental Disorders psychology, Multicenter Studies as Topic, Phenotype, Psychiatric Status Rating Scales, Research Design, Siblings, Wechsler Scales statistics & numerical data, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity genetics
- Abstract
Background: The International Multi-centre ADHD Genetics (IMAGE) project with 11 participating centres from 7 European countries and Israel has collected a large behavioural and genetic database for present and future research. Behavioural data were collected from 1068 probands with ADHD and 1446 unselected siblings. The aim was to describe and analyse questionnaire data and IQ measures from all probands and siblings. In particular, to investigate the influence of age, gender, family status (proband vs. sibling), informant, and centres on sample homogeneity in psychopathological measures., Methods: Conners' Questionnaires, Strengths and Difficulties Questionnaires, and Wechsler Intelligence Scores were used to describe the phenotype of the sample. Data were analysed by use of robust statistical multi-way procedures., Results: Besides main effects of age, gender, informant, and centre, there were considerable interaction effects on questionnaire data. The larger differences between probands and siblings at home than at school may reflect contrast effects in the parents. Furthermore, there were marked gender by status effects on the ADHD symptom ratings with girls scoring one standard deviation higher than boys in the proband sample but lower than boys in the siblings sample. The multi-centre design is another important source of heterogeneity, particularly in the interaction with the family status. To a large extent the centres differed from each other with regard to differences between proband and sibling scores., Conclusions: When ADHD probands are diagnosed by use of fixed symptom counts, the severity of the disorder in the proband sample may markedly differ between boys and girls and across age, particularly in samples with a large age range. A multi-centre design carries the risk of considerable phenotypic differences between centres and, consequently, of additional heterogeneity of the sample even if standardized diagnostic procedures are used. These possible sources of variance should be counteracted in genetic analyses either by using age and gender adjusted diagnostic procedures and regional normative data or by adjusting for design artefacts by use of covariate statistics, by eliminating outliers, or by other methods suitable for reducing heterogeneity.
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- 2011
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43. The impact of study design and diagnostic approach in a large multi-centre ADHD study. Part 1: ADHD symptom patterns.
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Müller UC, Asherson P, Banaschewski T, Buitelaar JK, Ebstein RP, Eisenberg J, Gill M, Manor I, Miranda A, Oades RD, Roeyers H, Rothenberger A, Sergeant JA, Sonuga-Barke EJ, Thompson M, Faraone SV, and Steinhausen HC
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- Age Factors, Attention Deficit Disorder with Hyperactivity epidemiology, Attention Deficit Disorder with Hyperactivity genetics, Child, Diagnostic and Statistical Manual of Mental Disorders, Europe, Female, Humans, Intelligence Tests, Male, Parents psychology, Psychiatric Status Rating Scales, Psychometrics methods, Research Design, Sex Factors, Siblings psychology, Surveys and Questionnaires, Attention Deficit Disorder with Hyperactivity diagnosis
- Abstract
Background: The International Multi-centre ADHD Genetics (IMAGE) project with 11 participating centres from 7 European countries and Israel has collected a large behavioural and genetic database for present and future research. Behavioural data were collected from 1068 probands with the combined type of attention deficit/hyperactivity disorder (ADHD-CT) and 1446 'unselected' siblings. The aim was to analyse the IMAGE sample with respect to demographic features (gender, age, family status, and recruiting centres) and psychopathological characteristics (diagnostic subtype, symptom frequencies, age at symptom detection, and comorbidities). A particular focus was on the effects of the study design and the diagnostic procedure on the homogeneity of the sample in terms of symptom-based behavioural data, and potential consequences for further analyses based on these data., Methods: Diagnosis was based on the Parental Account of Childhood Symptoms (PACS) interview and the DSM-IV items of the Conners' teacher questionnaire. Demographics of the full sample and the homogeneity of a subsample (all probands) were analysed by using robust statistical procedures which were adjusted for unequal sample sizes and skewed distributions. These procedures included multi-way analyses based on trimmed means and winsorised variances as well as bootstrapping., Results: Age and proband/sibling ratios differed between participating centres. There was no significant difference in the distribution of gender between centres. There was a significant interaction between age and centre for number of inattentive, but not number of hyperactive symptoms. Higher ADHD symptom frequencies were reported by parents than teachers. The diagnostic symptoms differed from each other in their frequencies. The face-to-face interview was more sensitive than the questionnaire. The differentiation between ADHD-CT probands and unaffected siblings was mainly due to differences in hyperactive/impulsive symptoms., Conclusions: Despite a symptom-based standardized inclusion procedure according to DSM-IV criteria with defined symptom thresholds, centres may differ markedly in probands' ADHD symptom frequencies. Both the diagnostic procedure and the multi-centre design influence the behavioural characteristics of a sample and, thus, may bias statistical analyses, particularly in genetic or neurobehavioral studies.
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- 2011
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44. The relationship between ADHD and key cognitive phenotypes is not mediated by shared familial effects with IQ.
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Wood AC, Rijsdijk F, Johnson KA, Andreou P, Albrecht B, Arias-Vasquez A, Buitelaar JK, McLoughlin G, Rommelse NN, Sergeant JA, Sonuga-Barke EJ, Uebel H, van der Meere JJ, Banaschewski T, Gill M, Manor I, Miranda A, Mulas F, Oades RD, Roeyers H, Rothenberger A, Steinhausen HC, Faraone SV, Asherson P, and Kuntsi J
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- Adolescent, Attention Deficit Disorder with Hyperactivity diagnosis, Child, Choice Behavior, Cognition Disorders diagnosis, Europe, Female, Humans, Inhibition, Psychological, Internal-External Control, Male, Multivariate Analysis, Personality Assessment statistics & numerical data, Psychometrics, Reaction Time genetics, Reward, Attention Deficit Disorder with Hyperactivity genetics, Attention Deficit Disorder with Hyperactivity psychology, Cognition Disorders genetics, Cognition Disorders psychology, Intelligence genetics, Neuropsychological Tests statistics & numerical data, Phenotype
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Background: Twin and sibling studies have identified specific cognitive phenotypes that may mediate the association between genes and the clinical symptoms of attention deficit hyperactivity disorder (ADHD). ADHD is also associated with lower IQ scores. We aimed to investigate whether the familial association between measures of cognitive performance and the clinical diagnosis of ADHD is mediated through shared familial influences with IQ., Method: Multivariate familial models were run on data from 1265 individuals aged 6-18 years, comprising 920 participants from ADHD sibling pairs and 345 control participants. Cognitive assessments included a four-choice reaction time (RT) task, a go/no-go task, a choice-delay task and an IQ assessment. The analyses focused on the cognitive variables of mean RT (MRT), RT variability (RTV), commission errors (CE), omission errors (OE) and choice impulsivity (CI)., Results: Significant familial association (rF) was confirmed between cognitive performance and both ADHD (rF=0.41-0.71) and IQ (rF=-0.25 to -0.49). The association between ADHD and cognitive performance was largely independent (80-87%) of any contribution from etiological factors shared with IQ. The exception was for CI, where 49% of the overlap could be accounted for by the familial variance underlying IQ., Conclusions: The aetiological factors underlying lower IQ in ADHD seem to be distinct from those between ADHD and RT/error measures. This suggests that lower IQ does not account for the key cognitive impairments observed in ADHD. The results have implications for molecular genetic studies designed to identify genes involved in ADHD.
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- 2011
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45. Auditory conflict processing in ADHD.
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van Mourik R, Sergeant JA, Heslenfeld D, Konig C, and Oosterlaan J
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- Case-Control Studies, Child, Evoked Potentials, Female, Humans, Male, Stroop Test, Attention Deficit Disorder with Hyperactivity physiopathology, Auditory Perception physiology, Brain physiopathology, Mental Processes
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Background: Impaired cognitive control has been implicated as an important developmental pathway to attention deficit/hyperactivity disorder (ADHD). Cognitive control is crucial to suppress interference resulting from conflicting information and can be measured by Stroop-like tasks. This study was conducted to gain insight into conflict processing in children with ADHD., Methods: Event-related potentials (ERPs) were recorded in an auditory Stroop task. Twenty-four children with ADHD were compared with 24 control children (aged 8-12 years)., Results: No deficit in interference control was found on the auditory Stroop task in children with ADHD. Children with ADHD responded more slowly, less accurately and more variably compared to controls. No differences between the groups occurred in the early conflict-related ERPs. However, the difference between the congruent and the incongruent condition in the 450-550 ms time window was absent in the ADHD group compared to controls. In addition, the conflict sustained potential was found frontally in the ADHD group but parietally in the control group., Conclusions: These ERP findings suggest that children with ADHD evaluate conflict to a lesser extent and differ in the way their brains select appropriate responses during conflict compared with controls., (© 2010 The Authors. Journal of Child Psychology and Psychiatry © 2010 Association for Child and Adolescent Mental Health.)
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- 2011
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46. Perinatal risk factors interacting with catechol O-methyltransferase and the serotonin transporter gene predict ASD symptoms in children with ADHD.
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Nijmeijer JS, Hartman CA, Rommelse NN, Altink ME, Buschgens CJ, Fliers EA, Franke B, Minderaa RB, Ormel J, Sergeant JA, Verhulst FC, Buitelaar JK, and Hoekstra PJ
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- Adolescent, Attention Deficit Disorder with Hyperactivity epidemiology, Attention Deficit Disorder with Hyperactivity psychology, Birth Weight, Child, Child Development Disorders, Pervasive epidemiology, Child Development Disorders, Pervasive psychology, Female, Genetic Predisposition to Disease, Genotype, Humans, INDEL Mutation, Linear Models, Male, Maternal Behavior, Methionine, Netherlands epidemiology, Polymorphism, Single Nucleotide, Pregnancy, Risk Factors, Sampling Studies, Smoking, Surveys and Questionnaires, Valine, Attention Deficit Disorder with Hyperactivity genetics, Catechol O-Methyltransferase genetics, Child Development Disorders, Pervasive genetics, Interpersonal Relations, Serotonin Plasma Membrane Transport Proteins genetics, Stereotyped Behavior
- Abstract
Background: Symptoms of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) often co-occur. Given the previously found familiality of ASD symptoms in children with ADHD, addressing these symptoms may be useful for genetic association studies, especially for candidate gene findings that have not been consistently replicated for ADHD., Methods: We studied the association of the catechol O-methyltransferase (COMT) Val158Met polymorphism and the serotonin transporter (SLC6A4/SERT/5-HTT) 5-HTTLPR insertion/deletion polymorphism with ASD symptoms in children with ADHD, and whether these polymorphisms would interact with pre- and perinatal risk factors, i.e., maternal smoking during pregnancy and low birth weight. Analyses were performed using linear regression in 207 Dutch participants with combined type ADHD of the International Multicenter ADHD Genetics (IMAGE) study, and repeated in an independent ADHD sample (n =439) selected from the TRracking Adolescents' Individual Lives Survey (TRAILS). Dependent variables were the total and subscale scores of the Children's Social Behavior Questionnaire (CSBQ)., Results: No significant main effects of COMT Val158Met, 5-HTTLPR, maternal smoking during pregnancy and low birth weight on ASD symptoms were found. However, the COMT Val/Val genotype interacted with maternal smoking during pregnancy in increasing stereotyped behavior in the IMAGE sample (p =.008); this interaction reached significance in the TRAILS sample after correction for confounders (p =.02). In the IMAGE sample, the 5-HTTLPR S/S genotype interacted with maternal smoking during pregnancy, increasing problems in social interaction (p =.02), and also interacted with low birth weight, increasing rigid behavior (p =.03). Findings for 5-HTTLPR in the TRAILS sample were similar, albeit for related CSBQ subscales., Conclusions: These findings suggest gene-environment interaction effects on ASD symptoms in children with ADHD., (© 2010 The Authors. Journal of Child Psychology and Psychiatry © 2010 Association for Child and Adolescent Mental Health.)
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- 2010
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47. Separation of cognitive impairments in attention-deficit/hyperactivity disorder into 2 familial factors.
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Kuntsi J, Wood AC, Rijsdijk F, Johnson KA, Andreou P, Albrecht B, Arias-Vasquez A, Buitelaar JK, McLoughlin G, Rommelse NN, Sergeant JA, Sonuga-Barke EJ, Uebel H, van der Meere JJ, Banaschewski T, Gill M, Manor I, Miranda A, Mulas F, Oades RD, Roeyers H, Rothenberger A, Steinhausen HC, Faraone SV, and Asherson P
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- Adolescent, Attention Deficit Disorder with Hyperactivity epidemiology, Child, Choice Behavior physiology, Cognition Disorders epidemiology, Comorbidity, Factor Analysis, Statistical, Female, Humans, Impulsive Behavior genetics, Male, Pedigree, Phenotype, Reaction Time genetics, Reaction Time physiology, Siblings, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity genetics, Cognition Disorders diagnosis, Cognition Disorders genetics, Family, Neuropsychological Tests statistics & numerical data
- Abstract
Context: Attention-deficit/hyperactivity disorder (ADHD) is associated with widespread cognitive impairments, but it is not known whether the apparent multiple impairments share etiological roots or separate etiological pathways exist. A better understanding of the etiological pathways is important for the development of targeted interventions and for identification of suitable intermediate phenotypes for molecular genetic investigations., Objectives: To determine, by using a multivariate familial factor analysis approach, whether 1 or more familial factors underlie the slow and variable reaction times, impaired response inhibition, and choice impulsivity associated with ADHD., Design: An ADHD and control sibling-pair design., Setting: Belgium, Germany, Ireland, Israel, Spain, Switzerland, and the United Kingdom., Participants: A total of 1265 participants, aged 6 to 18 years: 464 probands with ADHD and 456 of their siblings (524 with combined-subtype ADHD), and 345 control participants., Main Outcome Measures: Performance on a 4-choice reaction time task, a go/no-go inhibition task, and a choice-delay task., Results: The final model consisted of 2 familial factors. The larger factor, reflecting 85% of the familial variance of ADHD, captured 98% to 100% of the familial influences on mean reaction time and reaction time variability. The second, smaller factor, reflecting 13% of the familial variance of ADHD, captured 62% to 82% of the familial influences on commission and omission errors on the go/no-go task. Choice impulsivity was excluded in the final model because of poor fit., Conclusions: The findings suggest the existence of 2 familial pathways to cognitive impairments in ADHD and indicate promising cognitive targets for future molecular genetic investigations. The familial distinction between the 2 cognitive impairments is consistent with recent theoretical models--a developmental model and an arousal-attention model--of 2 separable underlying processes in ADHD. Future research that tests the familial model within a developmental framework may inform developmentally sensitive interventions.
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- 2010
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48. Eunethydis: a statement of the ethical principles governing the relationship between the European group for ADHD guidelines, and its members, with commercial for-profit organisations.
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Sergeant JA, Banaschewski T, Buitelaar J, Coghill D, Danckaerts M, Döpfner M, Rothenberger A, Santosh P, Sonuga-Barke EJ, Steinhausen HC, Taylor E, and Zuddas A
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- Guidelines as Topic, Humans, Attention Deficit Disorder with Hyperactivity, Conflict of Interest, Drug Industry ethics
- Abstract
The Eunethydis ADHD Guidelines group set out here the ethical principles governing the relationship between the group and industry. The principles set out here are provided to ensure that this is both done and seen to be done. The impetus for these guidelines comes from within the Group and is linked to the recognition for the need for an open and transparent basis for Group-industry relations, especially in the light of the present concern that the pharmaceutical industry may be exerting a growing influence on the actions of researchers and clinicians in the ADHD field.
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- 2010
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49. Impaired decision making in oppositional defiant disorder related to altered psychophysiological responses to reinforcement.
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Luman M, Sergeant JA, Knol DL, and Oosterlaan J
- Subjects
- Analysis of Variance, Attention Deficit and Disruptive Behavior Disorders physiopathology, Case-Control Studies, Child, Choice Behavior, Female, Galvanic Skin Response physiology, Gambling psychology, Games, Experimental, Heart Rate physiology, Humans, Logistic Models, Male, Psychology, Child, Punishment psychology, Reference Values, Arousal physiology, Attention Deficit and Disruptive Behavior Disorders psychology, Decision Making, Reward, Risk-Taking
- Abstract
Background: When making decisions, children with oppositional defiant disorder (ODD) are thought to focus on reward and ignore penalty. This is suggested to be associated with a state of low psychophysiological arousal., Methods: This study investigates decision making in 18 children with oppositional defiant disorder and 24 typically developing control subjects. Children were required to choose between three alternatives that carried either frequent small rewards and occasional small penalties (advantageous), frequent large rewards and increasing penalties (seductive), or frequent small rewards and increasing penalties (disadvantageous). Penalties in the seductive and disadvantageous alternatives increased either in frequency or magnitude in two conditions. Heart rate (HR) and skin conductance responses to reinforcement were obtained., Results: In the magnitude condition, children with ODD showed an increased preference for the seductive alternative (carrying large rewards); this was not observed in the frequency condition. Children with ODD, compared with typically developing children, displayed greater HR reactivity to reward (more HR deceleration) and smaller HR reactivity to penalty. Correlation analyses showed that decreased HR responses to penalty were related to an increased preference for large rewards. No group differences were observed in skin conductance responses to reward or penalty., Conclusions: The findings suggest that an increased preference for large rewards in children with ODD is related to a reduced cardiac reactivity to aversive stimuli. This confirms notions of impaired decision making and altered reinforcement sensitivity in children with ODD and adds to the literature linking altered autonomic control to antisocial behavior., (Copyright 2010 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)
- Published
- 2010
- Full Text
- View/download PDF
50. Identifying loci for the overlap between attention-deficit/hyperactivity disorder and autism spectrum disorder using a genome-wide QTL linkage approach.
- Author
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Nijmeijer JS, Arias-Vásquez A, Rommelse NN, Altink ME, Anney RJ, Asherson P, Banaschewski T, Buschgens CJ, Fliers EA, Gill M, Minderaa RB, Poustka L, Sergeant JA, Buitelaar JK, Franke B, Ebstein RP, Miranda A, Mulas F, Oades RD, Roeyers H, Rothenberger A, Sonuga-Barke EJ, Steinhausen HC, Faraone SV, Hartman CA, and Hoekstra PJ
- Subjects
- Adolescent, Attention Deficit Disorder with Hyperactivity psychology, Child, Child Development Disorders, Pervasive psychology, Chromosome Aberrations, Chromosomes, Human, Pair 15 genetics, Chromosomes, Human, Pair 16 genetics, Chromosomes, Human, Pair 18 genetics, Communication, Comorbidity, Female, Genetic Predisposition to Disease genetics, Genetic Testing, Humans, Lod Score, Male, Personality Assessment statistics & numerical data, Polymorphism, Single Nucleotide genetics, Psychometrics statistics & numerical data, Social Behavior, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity genetics, Child Development Disorders, Pervasive diagnosis, Child Development Disorders, Pervasive genetics, Chromosome Mapping, Genome-Wide Association Study, Quantitative Trait Loci genetics
- Abstract
Objective: The genetic basis for autism spectrum disorder (ASD) symptoms in children with attention-deficit/hyperactivity disorder (ADHD) was addressed using a genome-wide linkage approach., Method: Participants of the International Multi-Center ADHD Genetics study comprising 1,143 probands with ADHD and 1,453 siblings were analyzed. The total and subscale scores of the Social Communication Questionnaire (SCQ) were used as quantitative traits for multipoint regression-based linkage analyses on 5,407 autosomal single-nucleotide polymorphisms applying MERLIN-regress software, both without and with inclusion of ADHD symptom scores as covariates., Results: The analyses without ADHD symptom scores as covariates resulted in three suggestive linkage signals, i.e., on chromosomes 15q24, 16p13, and 18p11. Inclusion of ADHD symptom scores as covariates resulted in additional suggestive loci on chromosomes 7q36 and 12q24, whereas the LOD score of the locus on chromosome 15q decreased below the threshold for suggestive linkage. The loci on 7q, 16p, and 18p were found for the SCQ restricted and repetitive subscale, that on 15q was found for the SCQ communication subscale, and that on 12q for the SCQ total score., Conclusions: Our findings suggest that QTLs identified in this study are ASD specific, although the 15q QTL potentially has pleiotropic effects for ADHD and ASD. This study confirms that genetic factors influence ASD traits along a continuum of severity, as loci potentially underlying ASD symptoms in children with ADHD were identified even though subjects with autism had been excluded from the IMAGE sample, and supports the hypothesis that differential genetic factors underlie the three ASD dimensions., (2010 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.)
- Published
- 2010
- Full Text
- View/download PDF
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