135 results on '"Oades, RD"'
Search Results
2. Auditory frequency- and duration-deviant detection elicit similar asymmetrical dipole sources, localised in both the temporal lobe and in the frontal cortices
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UCL, Jemel, B, Achenbach, C., Wiemer, P, Ropcke, B, Oades, RD, UCL, Jemel, B, Achenbach, C., Wiemer, P, Ropcke, B, and Oades, RD
- Published
- 2001
3. Confirmation that a specific haplotype of the dopamine transporter gene is associated with combined-type ADHD.
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Asherson P, Brookes K, Franke B, Chen W, Gill M, Ebstein RP, Buitelaar J, Banaschewski T, Sonuga-Barke E, Eisenberg J, Manor I, Miranda A, Oades RD, Roeyers H, Rothenberger A, Sergeant J, Steinhausen H, and Faraone SV
- Abstract
OBJECTIVE: The primary purpose of this study was to confirm the association of a specific haplotype of the dopamine transporter gene and attention deficit hyperactivity disorder (ADHD), which could be one source of the heterogeneity seen across published studies. METHOD: The authors previously reported the association of ADHD with a subgroup of chromosomes containing specific alleles of two variable-number tandem repeat polymorphisms within the 3' untranslated region and intron 8 of the dopamine transporter gene. They now report on this association in a sample of ADHD combined-type probands. RESULTS: The original observations were confirmed, with an overall odds ratio of 1.4 across samples. CONCLUSIONS: These data challenge results of meta-analyses suggesting that dopamine transporter variation does not have an effect on the risk for ADHD, and they indicate that further investigation of functional variation in the gene is required. [ABSTRACT FROM AUTHOR]
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- 2007
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4. 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. Barnes, Adebayo Anjorin, O'Dushlaine, C, Rossin, L, Lee, Ph, Duncan, L, Parikshak, Nn, Newhouse, S, Ripke, S, Neale, Bm, Purcell, Sm, Posthuma, D, Nurnberger, Ji, Lee, Sh, Faraone, Sv, Perlis, Rh, Mowry, Bj, Thapar, A, Goddard, Me, Witte, J, 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, C, Boehnke, M, Boomsma, Di, 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, Mattheisen, M, 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, E, 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, 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, R, 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, Längström, N, Lathrop, M, Lawrence, J, Lawson, Wb, Leboyer, M, Ledbetter, Dh, 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, 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, Meyer, J, Middeldorp, Cm, Middleton, L, Milanova, V, Miranda, A, Monaco, A, 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, Nwulia, Ea, Nyholt, Dr, 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, B, Pimm, J, Piven, J, 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, 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, J, Strohmaier, J, Stroup, T, Sutcliffe, J, Szatmari, P, Szelinger, S, Thirumalai, S, Thompson, Rc, Todorov, Aa, Tozzi, F, Treutlein, J, Uhr, M, van den Oord, Jc, Van Grootheest, G, Van Os, J, Vicente, A, 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, Kendler, K, Weiss, La, Wray, Nr, Zhao, Z, Geschwind, Dh, Sullivan, Pf, Smoller, Jw, Holmans, Pa, Breen, G., Génétique de l'autisme = Genetics of Autism (NPS-01), Neuroscience Paris Seine (NPS), 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)-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
- Published
- 2015
- Full Text
- View/download PDF
5. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
- Author
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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. Arking, Andrew McQuillin, William M. McMahon, Manuel Mattheisen, Hans-Christoph Steinhausen, Joseph Biederman, Guy A. Rouleau, James J. McGough, Sian Caesar, Edward M. Scolnick, Lefkos T. Middleton, Jack D. Barchas, Ian B. Hickie, Danyu Lin, Patrik K. E. Magnusson, Douglas Blackwood, Francis J. McMahon, Ingrid Agartz, Elena Maestrini, Marian L. Hamshere, Lindsey Kent, Walter J. Muir, Stephan Ripke, Lydia Krabbendam, Christine Fraser, Maria Hipolito, Louise Frisén, Eric Fombonne, Emma M. Quinn, Michael Bauer, Richard P. Ebstein, Michael Steffens, Jordan W. Smoller, Stanley J. Watson, Michael Boehnke, Philip Asherson, Agatino Battaglia, Elliot S. Gershon, Russell Schachar, Marcus Ising, Peng Zhang, Margaret A. Pericak-Vance, Joachim Hallmayer, Sean Ennis, Radhika Kandaswamy, René S. Kahn, Susanne Hoefels, Thomas W. Mühleisen, Pamela Sklar, Paul Lichtenstein, Verneri Anttila, Michael L. Cuccaro, Florian Holsboer, René Breuer, Eric M. Morrow, Vinay Puri, Naomi R. Wray, Szabocls Szelinger, Sabine M. Klauck, John B. Vincent, Shrikant Mane, Aribert Rothenberger, Marion Friedl, Ian Jones, Khalid Choudhury, Michael R. Barnes, Adebayo Anjorin, Edwin H. Cook, William Lawson, Allan H. Young, Lambertus Klei, Bryan J. Mowry, Johannes Schumacher, Michael Gill, James L. Kennedy, Marcella Rietschel, Aiden Corvin, Henrik B. Rasmussen, Susmita Datta, Kimberly Chambert, Daniel Moreno-De-Luca, Benjamin S. Pickard, Stan F. Nelson, Veronica J. Vieland, Stephen W. Scherer, Peter M. Visscher, John Strauss, Andreas Reif, Andrew D. Paterson, Ann Olincy, Phoenix Kwan, Anthony J. Bailey, Patrick F. Sullivan, Pierandrea Muglia, Gunnar Morken, Susanne Lucae, Ayman H. Fanous, Jacob Lawrence, Donald J. MacIntyre, Nancy G. Buccola, Rita M. Cantor, Christina M. Hultman, Weihua Guan, Anthony P. Monaco, Jouke-Jan Hottenga, Elaine Kenny, Jianxin Shi, Dale R. Nyholt, Kevin A. McGhee, Falk W. Lohoff, Jonna Kuntsi, Niklas Långström, John I. Nurnberger, Nelson B. Freimer, Erin N. Smith, John P. Rice, Michael T. Murtha, Thomas H. Wassink, Alexandre A. Todorov, Edmund J.S. Sonuga-Barke, Dan Rujescu, Roy H. Perlis, John S. Witte, Christopher A. Walsh, Matthew C. Keller, Pamela B. Mahon, Patrick J. McGrath, Susan L. Santangelo, Annette M. Hartmann, Ole A. Andreassen, Tatiana Foroud, Shaun Purcell, Josef Frank, Douglas F. Levinson, William Coryell, Ana Miranda, Alan F. Schatzberg, Peter Szatmari, Jun Li, Gerome Breen, Stephen V. Faraone, Anil K. Malhotra, Helena Medeiros, Martin A. Kohli, Nicholas Bass, Catherine Lord, Peter Propping, Wei Xu, Federica Tozzi, Ivan Nikolov, Jan K. Buitelaar, Thomas G. Schulze, Katherine Gordon-Smith, Michele L. Pergadia, Fritz Poustka, Valentina Moskvina, David Curtis, Tobias Banaschewski, Devin Absher, Danielle Posthuma, Stanley Zammit, Gary Donohoe, Ingrid Melle, Karola Rehnström, Thomas Hansen, Myrna M. Weissman, Stanley I. Shyn, Hakon Hakonarson, Christa Lese Martin, Digby Quested, Darina Czamara, Jeremy R. Parr, Pamela A. F. Madden, Jens Treutlein, Aarno Palotie, Robert Freedman, Sandra Meier, Bru Cormand, Nicholas J. Schork, Michele T. Pato, John R. Kelsoe, Vanessa Hus, Frans G. Zitman, Josephine Elia, David St Clair, Roel A. Ophoff, Peter McGuffin, Jonathan Pimm, Jonathan L. Haines, Wiepke Cahn, Matthew Flickinger, Steven P. Hamilton, Michael John Owen, Paul D. Shilling, Jeremy M. Silverman, David Craig, Mark J. Daly, Sarah E. Medland, Robert D. Oades, Marion Leboyer, Alan R. Sanders, Vihra Milanova, Chunyu Liu, Jobst Meyer, Dorret I. Boomsma, Evaristus A. Nwulia, Thomas B. Barrett, Jennifer L. Moran, Donald W. Black, Mònica Bayés, Witte J.G. Hoogendijk, Franziska Degenhardt, Benjamin M. Neale, Daniel L. Koller, Carlos N. Pato, Nicholas John Craddock, Richard Bruggeman, Enda M. Byrne, Edward G. Jones, Eco J. C. de Geus, Stéphane Jamain, Jubao Duan, Anne Farmer, Astrid M. Vicente, Grant W. Montgomery, Thomas Werge, Cathryn M. Lewis, Srdjan Djurovic, Phil Lee, Richard Anney, Elaine K. Green, Wade H. 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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6. The control of responsiveness in ADHD by catecholamines: evidence for dopaminergic, noradrenergic and interactive roles
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Espen Borgå Johansen, Vivienne A. Russell, L.A. Ruocco, Adolfo G. Sadile, Robert D. Oades, Heidi Aase, Davide Viggiano, Paola Devoto, Alessandro Zuddas, Terje Sagvolden, Oades, Rd, Sadile, Adolfo, Sagvolden, T, Viggiano, D, Zuddas, A, Devoto, P, Aase, H, Johansen, Eb, Ruocco, La, and Russell, Va
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Cognitive Neuroscience ,Dopamine ,Medizin ,Context (language use) ,Nerve Tissue Proteins ,Norepinephrine ,Catecholamines ,Memory ,Developmental and Educational Psychology ,medicine ,Attention deficit hyperactivity disorder ,Animals ,Humans ,Neurochemistry ,ddc:610 ,Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters ,Neurons ,Dopamine Plasma Membrane Transport Proteins ,Neurotransmitter Agents ,Membrane Glycoproteins ,Methylphenidate ,Dopaminergic ,Novelty ,Brain ,Membrane Transport Proteins ,Rats, Inbred Strains ,Haplorhini ,medicine.disease ,Rats ,Attention Deficit Disorder with Hyperactivity ,Psychopharmacology ,Psychology ,Neuroscience ,medicine.drug ,Signal Transduction - Abstract
Introduction: We explore the neurobiological bases of Attention-Deficit/Hyperactivity Disorder (ADHD) from the viewpoint of the neurochemistry and psychopharmacology of the catecholamine-based behavioural systems. Rodent-Primate Models: The contributions of dopamine (DA) and noradrenaline (NA) neurotransmission to the motor and cognitive symptoms of ADHD (e.g., hyperactivity, variable and impulsive responses) are studied in rodent and primate models. These models represent elements of the behavioural units observed in subjects with ADHD clinically or in laboratory settings (e.g., locomotion, changed sensitivity/responsivity to novelty/reinforcement and measures of executive processing). In particular, the models selected emphasize traits that are strongly influenced by mesocorticolimbic DA in the spontaneously hypertensive [SHR] and the Naples high excitability [NHE] rat lines. In this context the mode of action of methylphenidate treatment is discussed. We also describe current views on the altered control by mesolimbic catecholamines of appropriate and inappropriate goal-directed behaviour, and the tolerance or intolerance of a delay in achieving reinforcement in ADHD children and animal models. Recent insights into the previously underestimated role of the NA system in the control of mesocortical DA function, and the frontal role in processing information are elaborated.
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- 2005
7. Polygenic association between attention-deficit/hyperactivity disorder liability and cognitive impairments.
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Vainieri I, Martin J, Rommel AS, Asherson P, Banaschewski T, Buitelaar J, Cormand B, Crosbie J, Faraone SV, Franke B, Loo SK, Miranda A, Manor I, Oades RD, Purves KL, Ramos-Quiroga JA, Ribasés M, Roeyers H, Rothenberger A, Schachar R, Sergeant J, Steinhausen HC, Vuijk PJ, Doyle AE, and Kuntsi J
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- Adolescent, Adult, Child, Humans, Young Adult, Genome-Wide Association Study, Phenotype, Reaction Time physiology, Case-Control Studies, Attention Deficit Disorder with Hyperactivity genetics, Attention Deficit Disorder with Hyperactivity psychology, Cognitive Dysfunction genetics
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Background: A recent genome-wide association study (GWAS) identified 12 independent loci significantly associated with attention-deficit/hyperactivity disorder (ADHD). Polygenic risk scores (PRS), derived from the GWAS, can be used to assess genetic overlap between ADHD and other traits. Using ADHD samples from several international sites, we derived PRS for ADHD from the recent GWAS to test whether genetic variants that contribute to ADHD also influence two cognitive functions that show strong association with ADHD: attention regulation and response inhibition, captured by reaction time variability (RTV) and commission errors (CE)., Methods: The discovery GWAS included 19 099 ADHD cases and 34 194 control participants. The combined target sample included 845 people with ADHD (age: 8-40 years). RTV and CE were available from reaction time and response inhibition tasks. ADHD PRS were calculated from the GWAS using a leave-one-study-out approach. Regression analyses were run to investigate whether ADHD PRS were associated with CE and RTV. Results across sites were combined via random effect meta-analyses., Results: When combining the studies in meta-analyses, results were significant for RTV ( R
2 = 0.011, β = 0.088, p = 0.02) but not for CE ( R2 = 0.011, β = 0.013, p = 0.732). No significant association was found between ADHD PRS and RTV or CE in any sample individually ( p > 0.10)., Conclusions: We detected a significant association between PRS for ADHD and RTV (but not CE) in individuals with ADHD, suggesting that common genetic risk variants for ADHD influence attention regulation.- Published
- 2022
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8. Differential utility of teacher and parent-teacher combined information in the assessment of Attention Deficit/Hyperactivity Disorder symptoms.
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Garcia-Rosales A, Vitoratou S, Faraone SV, Rudaizky D, Banaschewski T, Asherson P, Sonuga-Barke E, Buitelaar J, Oades RD, Rothenberger A, Steinhausen HC, Taylor E, and Chen W
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- Female, Humans, Male, Reproducibility of Results, Attention Deficit Disorder with Hyperactivity diagnosis, Parents psychology, Psychometrics methods, School Teachers psychology
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Background: Consistent research findings indicate that parents and teachers observe genuinely different Attention Deficit/Hyperactivity Disorder (ADHD) behaviours in their respective settings., Objective: To evaluate the utility of information provided by teacher informant assessments (INFAs) of ADHD symptoms, and the implications of aggregation algorithms in combing parents' information, i.e. using 'or-rule' (endorsement by either one informant) versus 'and-rule' (endorsement by both informants)., Method: Teacher ratings on Conners scales and clinical data from parental accounts on 1383 probands and their siblings from the IMAGE study were analysed. The psychometric properties of teacher and combined ratings using the item response theory model (IRT) are presented. Kappa coefficients, intraclass correlations and linear regression were employed., Results: First, teacher endorsement of symptoms is located in a narrow part of the trait continuum close to the average levels. Symptoms exhibit comparable perception in the measurement of the trait(s) with similar discrimination ability and information (reliability). Second, the IRT properties of the 'or-rule' ratings are predominantly influenced by parent-INFAs; and the 'and-rule' ratings predominantly by teacher-INFAs ratings. Third, parent-teacher INFAs agreement was low, both for individual items (κ = 0.01-0.15) and for dimensional scores (r = 0.12-0.16). The 'or-rule' captured milder expressions of ADHD symptoms, whereas the 'and-rule' indexed greater severity of ADHD., Conclusions: Parent and teacher-INFAs provide different kinds of information, while both are useful. Teacher-INFA and the 'and-rule' provide a more accurate index of severity than an additive symptom count. Parent-INFA and the 'or-rule' are more sensitive for detecting cases with milder ADHD.
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- 2021
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9. Role of conduct problems in the relation between Attention-Deficit Hyperactivity disorder, substance use, and gaming.
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Schoenmacker GH, Groenman AP, Sokolova E, Oosterlaan J, Rommelse N, Roeyers H, Oades RD, Faraone SV, Franke B, Heskes T, Arias Vasquez A, Claassen T, and Buitelaar JK
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- Adolescent, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity epidemiology, Bayes Theorem, Case-Control Studies, Child, Child, Preschool, Conduct Disorder diagnosis, Conduct Disorder epidemiology, Female, Humans, Internet Addiction Disorder diagnosis, Internet Addiction Disorder epidemiology, Male, Risk Factors, Substance-Related Disorders diagnosis, Substance-Related Disorders epidemiology, Surveys and Questionnaires, Attention Deficit Disorder with Hyperactivity psychology, Conduct Disorder psychology, Internet Addiction Disorder psychology, Substance-Related Disorders psychology, Video Games psychology
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Known comorbidities for Attention-Deficit Hyperactivity Disorder (ADHD) include conduct problems, substance use disorder and gaming. Comorbidity with conduct problems may increase the risk for substance use disorder and gaming in individuals with ADHD. The aim of the study was to build a causal model of the relationships between ADHD and comorbid conduct problems, and alcohol, nicotine, and other substance use, and gaming habits, while accounting for age and sex. We used a state-of-the-art causal discovery algorithm to analyze a case-only sample of 362 ADHD-diagnosed individuals in the ages 12-24 years. We found that conduct problem severity mediates between ADHD severity and nicotine use, but not with more severe alcohol or substance use. More severe ADHD-inattentive symptoms lead to more severe gaming habits. Furthermore, our model suggests that ADHD severity has no influence on severity of alcohol or other drug use. Our findings suggest that ADHD severity is a risk factor for nicotine use, and that this effect is fully mediated by conduct problem severity. Finally, ADHD-inattentive severity was a risk factor for gaming, suggesting that gaming dependence has a different causal pathway than substance dependence and should be treated differently. By identifying these intervention points, our model can aid both researchers and clinicians., (Copyright © 2018 Elsevier B.V. and ECNP. All rights reserved.)
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- 2020
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10. Is the endorsement of the Attention Deficit Hyperactivity Disorder symptom criteria ratings influenced by informant assessment, gender, age, and co-occurring disorders? A measurement invariance study.
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Vitoratou S, Garcia-Rosales A, Banaschewski T, Sonuga-Barke E, Buitelaar J, Oades RD, Rothenberger A, Steinhausen HC, Taylor E, Faraone SV, and Chen W
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- Adolescent, Adult, Attention Deficit Disorder with Hyperactivity epidemiology, Child, Child, Preschool, Comorbidity, Europe, Factor Analysis, Statistical, Female, Humans, Male, Models, Statistical, Parents, Psychometrics instrumentation, School Teachers, Young Adult, Attention Deficit Disorder with Hyperactivity diagnosis, Behavior Rating Scale standards, Diagnostic and Statistical Manual of Mental Disorders, Psychiatric Status Rating Scales standards, Psychometrics standards
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Objectives: This study aims to ascertain whether the differences of prevalence and severity of attention deficit hyperactivity disorder (ADHD) are true or whether children are perceived and rated differently by parent and teacher informant assessments (INFAs) according to gender, age, and co-occurring disorders, even at equal levels of latent ADHD traits., Methods: Use of latent trait models (for binary responses) to evaluate measurement invariance in children with ADHD and their siblings from the International Multicenter ADHD Gene data., Results: Substantial measurement noninvariance between parent and teacher INFAs was detected for seven out of nine inattention (IA) and six out of nine hyperactivity/impulsivity (HI) items; the correlations between parent and teacher INFAs for six IA and four HI items were not significantly different from zero, which suggests that parent and teacher INFAs are essentially rating different kinds of behaviours expressed in different settings, instead of measurement bias. However, age and gender did not affect substantially the endorsement probability of either IA or HI symptom criteria, regardless of INFA. For co-occurring disorders, teacher INFA ratings were largely unaffected by co-morbidity; conversely, parental endorsement of HI symptoms is substantially influenced by co-occurring oppositional defiant disorder., Conclusions: Our findings suggest general robustness of Diagnostic and Statistical Manual of Mental Disorders ADHD diagnostic items in relation to age and gender. Further research on classroom presentations is needed., (© 2019 John Wiley & Sons, Ltd.)
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- 2019
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11. Analysis of shared heritability in common disorders of the brain.
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Anttila V, Bulik-Sullivan B, Finucane HK, Walters RK, Bras J, Duncan L, Escott-Price V, Falcone GJ, Gormley P, Malik R, Patsopoulos NA, Ripke S, Wei Z, Yu D, Lee PH, Turley P, Grenier-Boley B, Chouraki V, Kamatani Y, Berr C, Letenneur L, Hannequin D, Amouyel P, Boland A, Deleuze JF, Duron E, Vardarajan BN, Reitz C, Goate AM, Huentelman MJ, Kamboh MI, Larson EB, Rogaeva E, St George-Hyslop P, Hakonarson H, Kukull WA, Farrer LA, Barnes LL, Beach TG, Demirci FY, Head E, Hulette CM, Jicha GA, Kauwe JSK, Kaye JA, Leverenz JB, Levey AI, Lieberman AP, Pankratz VS, Poon WW, Quinn JF, Saykin AJ, Schneider LS, Smith AG, Sonnen JA, Stern RA, Van Deerlin VM, Van Eldik LJ, Harold D, Russo G, Rubinsztein DC, Bayer A, Tsolaki M, Proitsi P, Fox NC, Hampel H, Owen MJ, Mead S, Passmore P, Morgan K, Nöthen MM, Rossor M, Lupton MK, Hoffmann P, Kornhuber J, Lawlor B, McQuillin A, Al-Chalabi A, Bis JC, Ruiz A, Boada M, Seshadri S, Beiser A, Rice K, van der Lee SJ, De Jager PL, Geschwind DH, Riemenschneider M, Riedel-Heller S, Rotter JI, Ransmayr G, Hyman BT, Cruchaga C, Alegret M, Winsvold B, Palta P, Farh KH, Cuenca-Leon E, Furlotte N, Kurth T, Ligthart L, Terwindt GM, Freilinger T, Ran C, Gordon SD, Borck G, Adams HHH, Lehtimäki T, Wedenoja J, Buring JE, Schürks M, Hrafnsdottir M, Hottenga JJ, Penninx B, Artto V, Kaunisto M, Vepsäläinen S, Martin NG, Montgomery GW, Kurki MI, Hämäläinen E, Huang H, Huang J, Sandor C, Webber C, Muller-Myhsok B, Schreiber S, Salomaa V, Loehrer E, Göbel H, Macaya A, Pozo-Rosich P, Hansen T, Werge T, Kaprio J, Metspalu A, Kubisch C, Ferrari MD, Belin AC, van den Maagdenberg AMJM, Zwart JA, Boomsma D, Eriksson N, Olesen J, Chasman DI, Nyholt DR, Avbersek A, Baum L, Berkovic S, Bradfield J, Buono RJ, Catarino CB, Cossette P, De Jonghe P, Depondt C, Dlugos D, Ferraro TN, French J, Hjalgrim H, Jamnadas-Khoda J, Kälviäinen R, Kunz WS, Lerche H, Leu C, Lindhout D, Lo W, Lowenstein D, McCormack M, Møller RS, Molloy A, Ng PW, Oliver K, Privitera M, Radtke R, Ruppert AK, Sander T, Schachter S, Schankin C, Scheffer I, Schoch S, Sisodiya SM, Smith P, Sperling M, Striano P, Surges R, Thomas GN, Visscher F, Whelan CD, Zara F, Heinzen EL, Marson A, Becker F, Stroink H, Zimprich F, Gasser T, Gibbs R, Heutink P, Martinez M, Morris HR, Sharma M, Ryten M, Mok KY, Pulit S, Bevan S, Holliday E, Attia J, Battey T, Boncoraglio G, Thijs V, Chen WM, Mitchell B, Rothwell P, Sharma P, Sudlow C, Vicente A, Markus H, Kourkoulis C, Pera J, Raffeld M, Silliman S, Boraska Perica V, Thornton LM, Huckins LM, William Rayner N, Lewis CM, Gratacos M, Rybakowski F, Keski-Rahkonen A, Raevuori A, Hudson JI, Reichborn-Kjennerud T, Monteleone P, Karwautz A, Mannik K, Baker JH, O'Toole JK, Trace SE, Davis OSP, Helder SG, Ehrlich S, Herpertz-Dahlmann B, Danner UN, van Elburg AA, Clementi M, Forzan M, Docampo E, Lissowska J, Hauser J, Tortorella A, Maj M, Gonidakis F, Tziouvas K, Papezova H, Yilmaz Z, Wagner G, Cohen-Woods S, Herms S, Julià A, Rabionet R, Dick DM, Ripatti S, Andreassen OA, Espeseth T, Lundervold AJ, Steen VM, Pinto D, Scherer SW, Aschauer H, Schosser A, Alfredsson L, Padyukov L, Halmi KA, Mitchell J, Strober M, Bergen AW, Kaye W, Szatkiewicz JP, Cormand B, Ramos-Quiroga JA, Sánchez-Mora C, Ribasés M, Casas M, Hervas A, Arranz MJ, Haavik J, Zayats T, Johansson S, Williams N, Dempfle A, Rothenberger A, Kuntsi J, Oades RD, Banaschewski T, Franke B, Buitelaar JK, Arias Vasquez A, Doyle AE, Reif A, Lesch KP, Freitag C, Rivero O, Palmason H, Romanos M, Langley K, Rietschel M, Witt SH, Dalsgaard S, Børglum AD, Waldman I, Wilmot B, Molly N, Bau CHD, Crosbie J, Schachar R, Loo SK, McGough JJ, Grevet EH, Medland SE, Robinson E, Weiss LA, Bacchelli E, Bailey A, Bal V, Battaglia A, Betancur C, Bolton P, Cantor R, Celestino-Soper P, Dawson G, De Rubeis S, Duque F, Green A, Klauck SM, Leboyer M, Levitt P, Maestrini E, Mane S, De-Luca DM, Parr J, Regan R, Reichenberg A, Sandin S, Vorstman J, Wassink T, Wijsman E, Cook E, Santangelo S, Delorme R, Rogé B, Magalhaes T, Arking D, Schulze TG, Thompson RC, Strohmaier J, Matthews K, Melle I, Morris D, Blackwood D, McIntosh A, Bergen SE, Schalling M, Jamain S, Maaser A, Fischer SB, Reinbold CS, Fullerton JM, Guzman-Parra J, Mayoral F, Schofield PR, Cichon S, Mühleisen TW, Degenhardt F, Schumacher J, Bauer M, Mitchell PB, Gershon ES, Rice J, Potash JB, Zandi PP, Craddock N, Ferrier IN, Alda M, Rouleau GA, Turecki G, Ophoff R, Pato C, Anjorin A, Stahl E, Leber M, Czerski PM, Cruceanu C, Jones IR, Posthuma D, Andlauer TFM, Forstner AJ, Streit F, Baune BT, Air T, Sinnamon G, Wray NR, MacIntyre DJ, Porteous D, Homuth G, Rivera M, Grove J, Middeldorp CM, Hickie I, Pergadia M, Mehta D, Smit JH, Jansen R, de Geus E, Dunn E, Li QS, Nauck M, Schoevers RA, Beekman AT, Knowles JA, Viktorin A, Arnold P, Barr CL, Bedoya-Berrio G, Bienvenu OJ, Brentani H, Burton C, Camarena B, Cappi C, Cath D, Cavallini M, Cusi D, Darrow S, Denys D, Derks EM, Dietrich A, Fernandez T, Figee M, Freimer N, Gerber G, Grados M, Greenberg E, Hanna GL, Hartmann A, Hirschtritt ME, Hoekstra PJ, Huang A, Huyser C, Illmann C, Jenike M, Kuperman S, Leventhal B, Lochner C, Lyon GJ, Macciardi F, Madruga-Garrido M, Malaty IA, Maras A, McGrath L, Miguel EC, Mir P, Nestadt G, Nicolini H, Okun MS, Pakstis A, Paschou P, Piacentini J, Pittenger C, Plessen K, Ramensky V, Ramos EM, Reus V, Richter MA, Riddle MA, Robertson MM, Roessner V, Rosário M, Samuels JF, Sandor P, Stein DJ, Tsetsos F, Van Nieuwerburgh F, Weatherall S, Wendland JR, Wolanczyk T, Worbe Y, Zai G, Goes FS, McLaughlin N, Nestadt PS, Grabe HJ, Depienne C, Konkashbaev A, Lanzagorta N, Valencia-Duarte A, Bramon E, Buccola N, Cahn W, Cairns M, Chong SA, Cohen D, Crespo-Facorro B, Crowley J, Davidson M, DeLisi L, Dinan T, Donohoe G, Drapeau E, Duan J, Haan L, Hougaard D, Karachanak-Yankova S, Khrunin A, Klovins J, Kučinskas V, Lee Chee Keong J, Limborska S, Loughland C, Lönnqvist J, Maher B, Mattheisen M, McDonald C, Murphy KC, Nenadic I, van Os J, Pantelis C, Pato M, Petryshen T, Quested D, Roussos P, Sanders AR, Schall U, Schwab SG, Sim K, So HC, Stögmann E, Subramaniam M, Toncheva D, Waddington J, Walters J, Weiser M, Cheng W, Cloninger R, Curtis D, Gejman PV, Henskens F, Mattingsdal M, Oh SY, Scott R, Webb B, Breen G, Churchhouse C, Bulik CM, Daly M, Dichgans M, Faraone SV, Guerreiro R, Holmans P, Kendler KS, Koeleman B, Mathews CA, Price A, Scharf J, Sklar P, Williams J, Wood NW, Cotsapas C, Palotie A, Smoller JW, Sullivan P, Rosand J, Corvin A, Neale BM, Schott JM, Anney R, Elia J, Grigoroiu-Serbanescu M, Edenberg HJ, and Murray R
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- Brain Diseases classification, Brain Diseases diagnosis, Genetic Variation, Genome-Wide Association Study, Humans, Mental Disorders classification, Mental Disorders diagnosis, Phenotype, Quantitative Trait, Heritable, Risk Factors, Brain Diseases genetics, Mental Disorders genetics
- Abstract
Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology., (Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)
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- 2018
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12. 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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13. Are all the 18 DSM-IV and DSM-5 criteria equally useful for diagnosing ADHD and predicting comorbid conduct problems?
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Garcia Rosales A, Vitoratou S, Banaschewski T, Asherson P, Buitelaar J, Oades RD, Rothenberger A, Steinhausen HC, Faraone SV, and Chen W
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- Comorbidity, Female, Humans, Male, Attention Deficit Disorder with Hyperactivity diagnosis, Diagnostic and Statistical Manual of Mental Disorders, Problem Behavior psychology
- Abstract
In view of ICD-11 revision, we evaluate whether the 18 DSM-IV diagnostic items retained by DSM-5 could be further improved (i) in predicting ADHD 'caseness' and 'impairment' and (ii) discriminating ADHD without CD (ADHD - CD) cases from ADHD with CD (ADHD + CD) cases. In a multi-centre study sample consisting of 1497 ADHD probands and 291 unaffected subjects, 18 diagnostic items were examined for redundancy; then each item was evaluated for association with caseness, impairment and CD status using Classical Test Theory, Item-Response Theory and logistic regression methods. First, all 18 DSM-IV items contributed significantly and independently to the clinical diagnosis of ADHD. Second, not all the DSM-IV items carried equal weighting. "Often loses things", "forgetfulness" and "difficulty sustaining attention" mark severity for Inattentiveness (IA) items and "often unduly noisy", "exhibits a persistent pattern of restlessness", "leaves seat in class" and "often blurts out answers" for Hyperactivity/Impulsivity (HI) items. "Easily distracted", "inattentive to careless mistakes", "often interrupts" and "often fidgets" are associated with milder presentations. In the IA domain, "distracted" yields most information in the low-severity range of the latent trait, "careless" in the mid-severity range and "loses" in the high-severity range. In the HI domains, "interrupts" yields most information in the low-severity range and "motor" in the high-severity range. Third, all 18 items predicted impairment. Fourth, specific ADHD items are associated with ADHD + CD status. The DSM-IV diagnostic items were valid and not redundant; however, some carried more weight than others. All items were associated with impairment.
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- 2015
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14. 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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15. 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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16. 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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17. German validation of the conners adult ADHD rating scale-self-report: confirmation of factor structure in a large sample of participants with ADHD.
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Christiansen H, Hirsch O, Philipsen A, Oades RD, Matthies S, Hebebrand J, Ueckermann J, Abdel-Hamid M, Kraemer M, Wiltfang J, Graf E, Colla M, Sobanski E, Alm B, Rösler M, Jacob C, Jans T, Huss M, Schimmelmann BG, and Kis B
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- Adult, Female, Germany, Humans, Male, Middle Aged, Attention Deficit Disorder with Hyperactivity diagnosis, Self Report
- Abstract
Objective: The Conners Adult ADHD Rating Scales (CAARS) assess symptoms specific to adults that are frequently used and have been translated into German. The current study tests the factor structure of the CAARS in a large sample of German adults with ADHD and compares the means of the CAARS subscales with those of healthy German controls., Method: CAARS were completed by 466 participants with ADHD and 851 healthy control participants. Confirmatory factor analysis was used to establish model fit with the American original. Comparisons between participants with ADHD and healthy controls and influences of gender, age, and degree of education were analyzed., Results: Confirmatory factor analysis showed a very good fit with the model for the American original. Differences between ADHD participants and healthy controls on all Conners Adult ADHD Rating Scales-Self-Report (CAARS-S) subscales were substantial and significant., Conclusion: The factor structure of the original American model was successfully replicated in this sample of adult German ADHD participants.
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- 2013
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18. 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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19. 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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20. 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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21. 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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22. High loading of polygenic risk for ADHD in children with comorbid aggression.
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Hamshere ML, Langley K, Martin J, Agha SS, Stergiakouli E, Anney RJ, Buitelaar J, Faraone SV, Lesch KP, Neale BM, Franke B, Sonuga-Barke E, Asherson P, Merwood A, Kuntsi J, Medland SE, Ripke S, Steinhausen HC, Freitag C, Reif A, Renner TJ, Romanos M, Romanos J, Warnke A, Meyer J, Palmason H, Vasquez AA, Lambregts-Rommelse N, Roeyers H, Biederman J, Doyle AE, Hakonarson H, Rothenberger A, Banaschewski T, Oades RD, McGough JJ, Kent L, Williams N, Owen MJ, Holmans P, O'Donovan MC, and Thapar A
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- Anxiety Disorders diagnosis, Anxiety Disorders genetics, Anxiety Disorders psychology, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity psychology, Child, Child, Preschool, Comorbidity, Conduct Disorder diagnosis, Conduct Disorder psychology, Depressive Disorder diagnosis, Depressive Disorder genetics, Depressive Disorder psychology, Female, Genetic Variation genetics, Humans, Male, United Kingdom, Aggression psychology, Attention Deficit Disorder with Hyperactivity genetics, Conduct Disorder genetics, Genetic Predisposition to Disease genetics, Multifactorial Inheritance genetics
- Abstract
OBJECTIVE Although attention deficit hyperactivity disorder (ADHD) is highly heritable, genome-wide association studies (GWAS) have not yet identified any common genetic variants that contribute to risk. There is evidence that aggression or conduct disorder in children with ADHD indexes higher genetic loading and clinical severity. The authors examine whether common genetic variants considered en masse as polygenic scores for ADHD are especially enriched in children with comorbid conduct disorder. METHOD Polygenic scores derived from an ADHD GWAS meta-analysis were calculated in an independent ADHD sample (452 case subjects, 5,081 comparison subjects). Multivariate logistic regression analyses were employed to compare polygenic scores in the ADHD and comparison groups and test for higher scores in ADHD case subjects with comorbid conduct disorder relative to comparison subjects and relative to those without comorbid conduct disorder. Association with symptom scores was tested using linear regression. RESULTS Polygenic risk for ADHD, derived from the meta-analysis, was higher in the independent ADHD group than in the comparison group. Polygenic score was significantly higher in ADHD case subjects with conduct disorder relative to ADHD case subjects without conduct disorder. ADHD polygenic score showed significant association with comorbid conduct disorder symptoms. This relationship was explained by the aggression items. CONCLUSIONS Common genetic variation is relevant to ADHD, especially in individuals with comorbid aggression. The findings suggest that the previously published ADHD GWAS meta-analysis contains weak but true associations with common variants, support for which falls below genome-wide significance levels. The findings also highlight the fact that aggression in ADHD indexes genetic as well as clinical severity.
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- 2013
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23. Genetic analysis of reaction time variability: room for improvement?
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Kuntsi J, Frazier-Wood AC, Banaschewski T, Gill M, Miranda A, Oades RD, Roeyers H, Rothenberger A, Steinhausen HC, van der Meere JJ, Faraone SV, Asherson P, and Rijsdijk F
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- Adolescent, Attention Deficit Disorder with Hyperactivity psychology, Case-Control Studies, Child, Female, Humans, Inhibition, Psychological, Male, Models, Genetic, Phenotype, Reaction Time physiology, Twins psychology, Twins, Dizygotic genetics, Twins, Dizygotic psychology, Twins, Monozygotic genetics, Twins, Monozygotic psychology, Attention Deficit Disorder with Hyperactivity genetics, Reaction Time genetics, Twins genetics
- Abstract
Background: Increased reaction time variability (RTV) on cognitive tasks requiring a speeded response is characteristic of several psychiatric disorders. In attention deficit hyperactivity disorder (ADHD), the association with RTV is strong phenotypically and genetically, yet high RTV is not a stable impairment but shows ADHD-sensitive improvement under certain conditions, such as those with rewards. The state regulation theory proposed that the RTV difference score, which captures change from baseline to a rewarded or fast condition, specifically measures 'state regulation'. By contrast, the interpretation of RTV baseline (slow, unrewarded) scores is debated. We aimed to investigate directly the degree of phenotypic and etiological overlap between RTV baseline and RTV difference scores. Method We conducted genetic model fitting analyses on go/no-go and fast task RTV data, across task conditions manipulating rewards and event rate, from a population-based twin sample (n=1314) and an ADHD and control sibling-pair sample (n=1265)., Results: Phenotypic and genetic/familial correlations were consistently high (0.72-0.98) between RTV baseline and difference scores, across tasks, manipulations and samples. By contrast, correlations were low between RTV in the manipulated condition and difference scores. A comparison across two different go/no-go task RTV difference scores (slow-fast/slow-incentive) showed high phenotypic and genetic/familial overlap (r = 0.75-0.83)., Conclusions: Our finding that RTV difference scores measure largely the same etiological process as RTV under baseline condition supports theories emphasizing the malleability of the observed high RTV. Given the statistical shortcomings of difference scores, we recommend the use of RTV baseline scores for most analyses, including genetic analyses.
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- 2013
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24. 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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25. Genome-wide association study of motor coordination problems in ADHD identifies genes for brain and muscle function.
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Fliers EA, Vasquez AA, Poelmans G, Rommelse N, Altink M, Buschgens C, Asherson P, Banaschewski T, Ebstein R, Gill M, Miranda A, Mulas F, Oades RD, Roeyers H, Rothenberger A, Sergeant J, Sonuga-Barke E, Steinhausen HC, Faraone SV, Buitelaar JK, and Franke B
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- Adolescent, Attention Deficit Disorder with Hyperactivity complications, Child, Child, Preschool, Female, Genotype, Humans, Male, Motor Skills Disorders complications, Surveys and Questionnaires, Attention Deficit Disorder with Hyperactivity genetics, Genome-Wide Association Study, Motor Skills Disorders genetics, Polymorphism, Single Nucleotide
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Objectives: Motor coordination problems are frequent in children with attention deficit/hyperactivity disorder (ADHD). We performed a genome-wide association study to identify genes contributing to motor coordination problems, hypothesizing that the presence of such problems in children with ADHD may identify a sample of reduced genetic heterogeneity., Methods: Children with ADHD from the International Multicentre ADHD Genetic (IMAGE) study were evaluated with the Parental Account of Children's Symptoms. Genetic association testing was performed in PLINK on 890 probands with genome-wide genotyping data. Bioinformatics enrichment-analysis was performed on highly ranked findings. Further characterization of the findings was conducted in 313 Dutch IMAGE children using the Developmental Coordination Disorder Questionnaire (DCD-Q)., Results: Although none of the findings reached genome-wide significance, bioinformatics analysis of the top-ranked findings revealed enrichment of genes for motor neuropathy and amyotrophic lateral sclerosis. Genes involved in neurite outgrowth and muscle function were also enriched. Among the highest ranked genes were MAP2K5, involved in restless legs syndrome, and CHD6, causing motor coordination problems in mice. Further characterization of these findings using DCD-Q subscales found nominal association for 15 SNPs., Conclusions: Our findings provide clues about the aetiology of motor coordination problems, but replication studies in independent samples are necessary.
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- 2012
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26. The hierarchical factor model of ADHD: invariant across age and national groupings?
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Toplak ME, Sorge GB, Flora DB, Chen W, Banaschewski T, Buitelaar J, Ebstein R, Eisenberg J, Franke B, Gill M, Miranda A, Oades RD, Roeyers H, Rothenberger A, Sergeant J, Sonuga-Barke E, Steinhausen HC, Thompson M, Tannock R, Asherson P, and Faraone SV
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- Adolescent, Age Distribution, Child, Child, Preschool, Europe epidemiology, Factor Analysis, Statistical, Faculty, Female, Humans, Interview, Psychological, Israel, Male, Parents psychology, Siblings psychology, Attention Deficit Disorder with Hyperactivity epidemiology, Attention Deficit Disorder with Hyperactivity psychology, Models, Psychological
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Objective: To examine the factor structure of attention-deficit/hyperactivity disorder (ADHD) in a clinical sample of 1,373 children and adolescents with ADHD and their 1,772 unselected siblings recruited from different countries across a large age range. Hierarchical and correlated factor analytic models were compared separately in the ADHD and sibling samples, across three different instruments and across parent and teacher informants. Specific consideration was given to factorial invariance analyses across different ages and different countries in the ADHD sample., Method: A sample of children and adolescents between 5 and 17 years of age with ADHD and their unselected siblings was assessed. Participants were recruited from seven European countries and Israel. ADHD symptom data came from a clinical interview with parents Parental Account of Childhood Symptoms and questionnaires from parents and teachers (Conners Parent and Teacher)., Results: A hierarchical general factor model with two specific factors best represented the structure of ADHD in both the ADHD and unselected sibling groups, and across informants and instruments. The model was robust and invariant with regard to age differences in the ADHD sample. The model was not strongly invariant across different national groups in the ADHD sample, likely reflecting severity differences across the different centers and not any substantial difference in the clinical presentation of ADHD., Conclusions: The results replicate previous studies of a model with a unitary ADHD component and separable specific traits of inattention and hyperactivity/impulsivity. The unique contribution of this study was finding support for this model across a large developmental and multinational/multicultural sample and its invariance across ages., (© 2011 The Authors. Journal of Child Psychology and Psychiatry © 2011 Association for Child and Adolescent Mental Health.)
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- 2012
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27. Genome-wide copy number variation study associates metabotropic glutamate receptor gene networks with attention deficit hyperactivity disorder.
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Elia J, Glessner JT, Wang K, Takahashi N, Shtir CJ, Hadley D, Sleiman PM, Zhang H, Kim CE, Robison R, Lyon GJ, Flory JH, Bradfield JP, Imielinski M, Hou C, Frackelton EC, Chiavacci RM, Sakurai T, Rabin C, Middleton FA, Thomas KA, Garris M, Mentch F, Freitag CM, Steinhausen HC, Todorov AA, Reif A, Rothenberger A, Franke B, Mick EO, Roeyers H, Buitelaar J, Lesch KP, Banaschewski T, Ebstein RP, Mulas F, Oades RD, Sergeant J, Sonuga-Barke E, Renner TJ, Romanos M, Romanos J, Warnke A, Walitza S, Meyer J, Pálmason H, Seitz C, Loo SK, Smalley SL, Biederman J, Kent L, Asherson P, Anney RJ, Gaynor JW, Shaw P, Devoto M, White PS, Grant SF, Buxbaum JD, Rapoport JL, Williams NM, Nelson SF, Faraone SV, and Hakonarson H
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- Child, Child, Preschool, Gene Deletion, Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide, Receptor, Metabotropic Glutamate 5, Receptors, Metabotropic Glutamate genetics, Attention Deficit Disorder with Hyperactivity genetics, DNA Copy Number Variations, Gene Regulatory Networks
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Attention deficit hyperactivity disorder (ADHD) is a common, heritable neuropsychiatric disorder of unknown etiology. We performed a whole-genome copy number variation (CNV) study on 1,013 cases with ADHD and 4,105 healthy children of European ancestry using 550,000 SNPs. We evaluated statistically significant findings in multiple independent cohorts, with a total of 2,493 cases with ADHD and 9,222 controls of European ancestry, using matched platforms. CNVs affecting metabotropic glutamate receptor genes were enriched across all cohorts (P = 2.1 × 10(-9)). We saw GRM5 (encoding glutamate receptor, metabotropic 5) deletions in ten cases and one control (P = 1.36 × 10(-6)). We saw GRM7 deletions in six cases, and we saw GRM8 deletions in eight cases and no controls. GRM1 was duplicated in eight cases. We experimentally validated the observed variants using quantitative RT-PCR. A gene network analysis showed that genes interacting with the genes in the GRM family are enriched for CNVs in ∼10% of the cases (P = 4.38 × 10(-10)) after correction for occurrence in the controls. We identified rare recurrent CNVs affecting glutamatergic neurotransmission genes that were overrepresented in multiple ADHD cohorts.
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- 2011
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28. An exploration of the associations of pregnancy and perinatal features with cytokines and tryptophan/kynurenine metabolism in children with attention-deficit hyperactivity disorder (ADHD).
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Oades RD
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- Adult, Alcohol Drinking psychology, Attention Deficit Disorder with Hyperactivity blood, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity psychology, Case-Control Studies, Child, Child Care statistics & numerical data, Diagnostic and Statistical Manual of Mental Disorders, Female, Humans, Kynurenine blood, Male, Mothers statistics & numerical data, Pregnancy, Pregnancy Complications psychology, Smoking psychology, Tryptophan blood, Attention Deficit Disorder with Hyperactivity metabolism, Cytokines blood, Kynurenine metabolism, Pregnancy Complications metabolism, Tryptophan metabolism
- Abstract
Intra-individual variability of the characteristics of children with attention-deficit hyperactivity (ADHD) may reflect compromised glial energy supply in the synapse. We reported recently that while serum levels of a glial marker, the cytokine S100B, were not seriously altered, levels of other cytokines and tryptophan metabolites were related to symptoms, attention and variability. Here, we explore with a regression analysis whether levels of these substances were associated with features of the index pregnancy of potential aetiological significance. Serum was taken from 35 children with DSM-IV ADHD (14 on medication) and 21 typically developing controls to measure 8 cytokines (S100B, IL-2, IL-6, IL-10, IL-13, IL-16, TNF-α and IFN-γ) and 5 metabolites (Tryptophan, Kynurenine, Kynurenate [KA], 3-hydroxy-kynurenine [3HK] and 5-hydroxyindole acetic acid [5-HIAA]). The mothers received a 124-item questionnaire on features surrounding the pregnancy. (1) For children with ADHD, a shorter pregnancy and smaller birth weight were associated statistically with increased 3HK and IFN-γ and for obstetric problems with decreased TNF-α levels. (2) Maternal smoking related to decreasing kynurenine and increasing 3HK and S100B levels in ADHD children. Paternal smoking was associated with increased tryptophan in the controls and increased IL-6 levels in ADHD children. (3) The taking of supplements often related to decreasing TNF-α, increasing IL-10 and lower 5-HIAA levels in the ADHD children. Less 5-HIAA but more tryptophan was associated with earlier and later life events, respectively. (4) Increased IL-16 and 5-HIAA levels in the ADHD group related to reports of poorer infant health. Unexpectedly, more child care (seafood and time together) in ADHD than healthy families was implicated by lower tryptophan levels and an altered balance of pro-inflammatory cytokines. Across measures control families generally showed either non-significant associations or the opposite to those of the ADHD group. In ADHD children more than controls, the balance of potentially toxic or protective kynurenine metabolites and of pro- over anti-inflammatory cytokines may reflect the perinatal experience associated with stress, but not with maternal illness.
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- 2011
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29. A functional variant of the serotonin transporter gene (SLC6A4) moderates impulsive choice in attention-deficit/hyperactivity disorder boys and siblings.
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Sonuga-Barke EJ, Kumsta R, Schlotz W, Lasky-Su J, Marco R, Miranda A, Mulas F, Oades RD, Banaschewski T, Mueller U, Andreou P, Christiansen H, Gabriels I, Uebel H, Kuntsi J, Franke B, Buitelaar J, Ebstein R, Gill M, Anney R, Roeyers H, Rothenberger A, Sergeant J, Steinhausen HC, Asherson P, and Faraone SV
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- Adolescent, Alleles, Child, Dopamine Plasma Membrane Transport Proteins genetics, Drive, Genotype, Humans, Male, Minisatellite Repeats, Siblings, Attention Deficit Disorder with Hyperactivity genetics, Choice Behavior physiology, Impulsive Behavior genetics, Reward, Serotonin Plasma Membrane Transport Proteins genetics
- Abstract
Background: Impulsive drive for immediate reward (IDIR) and delay aversion are dissociable elements of the preference for immediate over delayed rewards seen in attention-deficit/hyperactivity disorder (ADHD). We hypothesized that IDIR would be associated with dopamine regulating genes and delay aversion would be associated with serotonin-regulating genes., Methods: Impulsive drive for immediate reward and delay aversion were measured in 459 male children and adolescents (328 ADHD and 131 unaffected siblings) with a laboratory choice task. The sample was genotyped for the 5HTT (SLC6A4) promoter serotonin-transporter-linked polymorphic region polymorphism and a DAT1 (SLC6A3) 40-base pair variable number tandem repeat located in the 3'-untranslated region of the gene., Results: There was no effect of dopamine transporter (DAT)1 on IDIR. As predicted, serotonin-transporter-linked polymorphic region s-allele carriers were more delay averse. This effect was driven by the s/l genotype in the ADHD group. These results were not altered by taking account of the rs25531 A/G single nucleotide polymorphism and were independent of age, IQ, and oppositional defiant disorder symptoms., Conclusions: The results support the genetic distinctiveness of IDIR and delay aversion in ADHD and implicate serotonin function in delay aversion. Possible explanations of the heterosis effect in the ADHD cases are presented., (Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)
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- 2011
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30. 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
- Subjects
- 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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31. 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
- Subjects
- 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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32. 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
- Subjects
- 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
- Abstract
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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33. The ATXN1 and TRIM31 genes are related to intelligence in an ADHD background: evidence from a large collaborative study totaling 4,963 subjects.
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Rizzi TS, Arias-Vasquez A, Rommelse N, Kuntsi J, Anney R, Asherson P, Buitelaar J, Banaschewski T, Ebstein R, Ruano D, Van der Sluis S, Markunas CA, Garrett ME, Ashley-Koch AE, Kollins SH, Anastopoulos AD, Hansell NK, Wright MJ, Montgomery GW, Martin NG, Harris SE, Davies G, Tenesa A, Porteous DJ, Starr JM, Deary IJ, St Pourcain B, Davey Smith G, Timpson NJ, Evans DM, Gill M, Miranda A, Mulas F, Oades RD, Roeyers H, Rothenberger A, Sergeant J, Sonuga-Barke E, Steinhausen HC, Taylor E, Faraone SV, Franke B, and Posthuma D
- Subjects
- Ataxin-1, Ataxins, Attention Deficit Disorder with Hyperactivity psychology, Cohort Studies, Humans, Meta-Analysis as Topic, Nuclear Family, Phenotype, Polymorphism, Single Nucleotide, Tripartite Motif Proteins, White People genetics, White People statistics & numerical data, Attention Deficit Disorder with Hyperactivity genetics, Intelligence genetics, Nerve Tissue Proteins genetics, Nuclear Proteins genetics, Ubiquitin-Protein Ligases genetics
- Abstract
Intelligence is a highly heritable trait for which it has proven difficult to identify the actual genes. In the past decade, five whole-genome linkage scans have suggested genomic regions important to human intelligence; however, so far none of the responsible genes or variants in those regions have been identified. Apart from these regions, a handful of candidate genes have been identified, although most of these are in need of replication. The recent growth in publicly available data sets that contain both whole genome association data and a wealth of phenotypic data, serves as an excellent resource for fine mapping and candidate gene replication. We used the publicly available data of 947 families participating in the International Multi-Centre ADHD Genetics (IMAGE) study to conduct an in silico fine mapping study of previously associated genomic locations, and to attempt replication of previously reported candidate genes for intelligence. Although this sample was ascertained for attention deficit/hyperactivity disorder (ADHD), intelligence quotient (IQ) scores were distributed normally. We tested 667 single nucleotide polymorphisms (SNPs) within 15 previously reported candidate genes for intelligence and 29451 SNPs in five genomic loci previously identified through whole genome linkage and association analyses. Significant SNPs were tested in four independent samples (4,357 subjects), one ascertained for ADHD, and three population-based samples. Associations between intelligence and SNPs in the ATXN1 and TRIM31 genes and in three genomic locations showed replicated association, but only in the samples ascertained for ADHD, suggesting that these genetic variants become particularly relevant to IQ on the background of a psychiatric disorder., (Copyright © 2010 Wiley-Liss, Inc.)
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- 2011
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34. Predictability of oppositional defiant disorder and symptom dimensions in children and adolescents with ADHD combined type.
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Aebi M, Müller UC, Asherson P, Banaschewski T, Buitelaar J, Ebstein R, Eisenberg J, Gill M, Manor I, Miranda A, Oades RD, Roeyers H, Rothenberger A, Sergeant J, Sonuga-Barke E, Thompson M, Taylor E, Faraone SV, and Steinhausen HC
- Subjects
- Adolescent, Attention Deficit Disorder with Hyperactivity complications, Attention Deficit and Disruptive Behavior Disorders complications, Child, Child, Preschool, Female, Humans, Male, Parenting, Predictive Value of Tests, Prognosis, ROC Curve, Regression Analysis, Attention Deficit Disorder with Hyperactivity psychology, Attention Deficit and Disruptive Behavior Disorders diagnosis, Attention Deficit and Disruptive Behavior Disorders psychology, Psychiatric Status Rating Scales
- Abstract
Background: Oppositional defiant disorder (ODD) is frequently co-occurring with attention deficit hyperactivity disorder (ADHD) in children and adolescents. Because ODD is a precursor of later conduct disorder (CD) and affective disorders, early diagnostic identification is warranted. Furthermore, the predictability of three recently confirmed ODD dimensions (ODD-irritable, ODD-headstrong and ODD-hurtful) may assist clinical decision making., Method: Receiver-operating characteristic (ROC) analysis was used in order to test the diagnostic accuracy of the Conners' Parent Rating Scale revised (CPRS-R) and the parent version of the Strength and Difficulties Questionnaire (PSDQ) in the prediction of ODD in a transnational sample of 1093 subjects aged 5-17 years from the International Multicentre ADHD Genetics study. In a second step, the prediction of three ODD dimensions by the same parent rating scales was assessed by backward linear regression analyses., Results: ROC analyses showed adequate diagnostic accuracy of the CPRS-R and the PSDQ in predicting ODD in this ADHD sample. Furthermore, the three-dimensional structure of ODD was confirmed by confirmatory factor analysis and the CPRS-R emotional lability scale significantly predicted the ODD irritable dimension., Conclusions: The PSDQ and the CPRS-R are both suitable screening instruments in the identification of ODD. The emotional lability scale of the CPRS-R is an adequate predictor of irritability in youth referred for ADHD.
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- 2010
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35. 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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36. Meta-analysis of genome-wide association studies of attention-deficit/hyperactivity disorder.
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Neale BM, Medland SE, Ripke S, Asherson P, Franke B, Lesch KP, Faraone SV, Nguyen TT, Schäfer H, Holmans P, Daly M, Steinhausen HC, Freitag C, Reif A, Renner TJ, Romanos M, Romanos J, Walitza S, Warnke A, Meyer J, Palmason H, Buitelaar J, Vasquez AA, Lambregts-Rommelse N, Gill M, Anney RJ, Langely K, O'Donovan M, Williams N, Owen M, Thapar A, Kent L, Sergeant J, Roeyers H, Mick E, Biederman J, Doyle A, Smalley S, Loo S, Hakonarson H, Elia J, Todorov A, Miranda A, Mulas F, Ebstein RP, Rothenberger A, Banaschewski T, Oades RD, Sonuga-Barke E, McGough J, Nisenbaum L, Middleton F, Hu X, and Nelson S
- Subjects
- Adolescent, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity psychology, Child, Child, Preschool, Female, Genetic Association Studies, Humans, Male, Polymorphism, Single Nucleotide genetics, Attention Deficit Disorder with Hyperactivity genetics, Genome-Wide Association Study
- Abstract
Objective: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association studies (GWAS) have not yielded significant results, we conducted a meta-analysis of existing studies to boost statistical power., Method: We used data from four projects: a) the Children's Hospital of Philadelphia (CHOP); b) phase I of the International Multicenter ADHD Genetics project (IMAGE); c) phase II of IMAGE (IMAGE II); and d) the Pfizer-funded study from the University of California, Los Angeles, Washington University, and Massachusetts General Hospital (PUWMa). The final sample size consisted of 2,064 trios, 896 cases, and 2,455 controls. For each study, we imputed HapMap single nucleotide polymorphisms, computed association test statistics and transformed them to z-scores, and then combined weighted z-scores in a meta-analysis., Results: No genome-wide significant associations were found, although an analysis of candidate genes suggests that they may be involved in the disorder., Conclusions: Given that ADHD is a highly heritable disorder, our negative results suggest that the effects of common ADHD risk variants must, individually, be very small or that other types of variants, e.g., rare ones, account for much of the disorder's heritability., (2010 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.)
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- 2010
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37. [Evaluation of a two-year intensive outpatient care programme for adolescents with schizophrenia].
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Hemmerle MJ, Röpcke B, Eggers C, and Oades RD
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- Adolescent, Aftercare methods, Caregivers education, Caregivers psychology, Cognition Disorders diagnosis, Cognition Disorders psychology, Cognition Disorders therapy, Combined Modality Therapy, Cost of Illness, Family Therapy, Female, Germany, Humans, Male, Outcome and Process Assessment, Health Care statistics & numerical data, Patient Care Team, Patient Discharge, Psychiatric Status Rating Scales statistics & numerical data, Psychometrics, Psychotic Disorders diagnosis, Psychotic Disorders psychology, Schizophrenia diagnosis, Social Adjustment, Young Adult, Group Homes, Hospitalization, Psychotic Disorders therapy, Schizophrenia therapy, Schizophrenic Psychology
- Abstract
Objective: The Trialog project offers patients with early-onset schizophrenia (EOS) a two-year programme of residential outpatient care following discharge from a clinic. The programme aims to support their further recovery and independence and encompasses interactive and psycho-educational multifamily care, coping with persistent symptoms, development of socio-emotional competence, independent house keeping, and support of school and vocational training., Methods: To evaluate psychopathology along with social and neuropsychological function for 12 participants over a period of 2 years. Their progress was compared with that of 12 EOS patients who did not attend Trialog following discharge., Results: Participants showed a significantly greater decrease of positive and negative symptoms, as opposed to an increase in positive symptoms in the comparison group. Measures of social function, neuropsychological indicators of memory, (selective) attention, and psychomotor speed improved more than in the comparison subjects. Neither group showed changes in measures of intelligence or in the subjective quality of life., Conclusions: First analyses raise hope that monitoring participant performance in the programme of the "Trialog project" will improve the treatment and care of EOS-patients in the critical first years following the onset of schizophrenia.
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- 2010
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38. Emotional lability in children and adolescents with attention deficit/hyperactivity disorder (ADHD): clinical correlates and familial prevalence.
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Sobanski E, Banaschewski T, Asherson P, Buitelaar J, Chen W, Franke B, Holtmann M, Krumm B, Sergeant J, Sonuga-Barke E, Stringaris A, Taylor E, Anney R, Ebstein RP, Gill M, Miranda A, Mulas F, Oades RD, Roeyers H, Rothenberger A, Steinhausen HC, and Faraone SV
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- Adolescent, Affective Symptoms psychology, Attention Deficit Disorder with Hyperactivity psychology, Attention Deficit and Disruptive Behavior Disorders diagnosis, Attention Deficit and Disruptive Behavior Disorders genetics, Attention Deficit and Disruptive Behavior Disorders psychology, Child, Comorbidity, Conduct Disorder diagnosis, Conduct Disorder genetics, Conduct Disorder psychology, Cross-Sectional Studies, Female, Humans, Inhibition, Psychological, Internal-External Control, Linear Models, Male, Models, Psychological, Personality Assessment statistics & numerical data, Phenotype, Psychometrics, Psychopathology, Social Adjustment, Statistics as Topic, Substance-Related Disorders diagnosis, Substance-Related Disorders genetics, Substance-Related Disorders psychology, Affective Symptoms diagnosis, Affective Symptoms genetics, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity genetics
- Abstract
Background: The goal of this study was to investigate the occurrence, severity and clinical correlates of emotional lability (EL) in children with attention deficit/hyperactivity disorder (ADHD), and to examine factors contributing to EL and familiality of EL in youth with ADHD., Methods: One thousand, one hundred and eighty-six children with ADHD combined type and 1827 siblings (aged 6-18 years) were assessed for symptoms of EL, ADHD, associated psychopathology and comorbid psychiatric disorders with a structured diagnostic interview (PACS) as well as parent and teacher ratings of psychopathology (SDQ; CPRS-R:L; CTRS-R:L). Analyses of variance, regression analyses, chi(2)-tests or loglinear models were applied., Results: Mean age and gender-standardized ratings of EL in children with ADHD were >1.5 SD above the mean in normative samples. Severe EL (>75th percentile) was associated with more severe ADHD core symptoms, primarily hyperactive-impulsive symptoms, and more comorbid oppositional defiant, affective and substance use disorders. Age, hyperactive-impulsive, oppositional, and emotional symptoms accounted for 30% of EL variance; hyperactive-impulsive symptoms did not account for EL variance when coexisting oppositional and emotional problems were taken into account, but oppositional symptoms explained 12% of EL variance specifically. Severity of EL in probands increased the severity of EL in siblings, but not the prevalence rates of ADHD or ODD. EL and ADHD does not co-segregate within families., Conclusion: EL is a frequent clinical problem in children with ADHD. It is associated with increased severity of ADHD core symptoms, particularly hyperactivity-impulsivity, and more symptoms of comorbid psychopathology, primarily symptoms of oppositional defiant disorder (ODD), but also affective symptoms, and substance abuse. EL in ADHD seems to be more closely related to ODD than to ADHD core symptoms, and is only partly explainable by the severity of ADHD core symptoms and associated psychopathology. Although EL symptoms are transmitted within families, EL in children with ADHD does not increase the risk of ADHD and ODD in their siblings.
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- 2010
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39. Does the cortisol response to stress mediate the link between expressed emotion and oppositional behavior in Attention-Deficit/Hyperactivity-Disorder (ADHD)?
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Christiansen H, Oades RD, Psychogiou L, Hauffa BP, and Sonuga-Barke EJ
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- Adult, Case-Control Studies, Child, Cross-Sectional Studies, Emotions physiology, Female, Humans, Male, Models, Psychological, Parent-Child Relations, Parents psychology, Psychological Tests, Saliva metabolism, Social Behavior, Time Factors, Attention Deficit Disorder with Hyperactivity metabolism, Attention Deficit Disorder with Hyperactivity psychology, Expressed Emotion physiology, Hydrocortisone metabolism, Stress, Psychological metabolism
- Abstract
Background: Expressed Emotions (EE) are associated with oppositional behavior (OPB) in children with Attention Deficit/Hyperactivity Disorder (ADHD). EE has been linked to altered stress responses in some disorders, but ADHD has not been studied. We test the hypothesis that OPB in ADHD is mediated by altered stress-related cortisol reactivity to EE., Methods: Two groups of children (with/without ADHD) and their respective parents were randomly assigned to two different conditions with/without negative emotion and participated in an emotion provocation task. Parents' EE, their ratings of their children's OPB and their children's salivary cortisol levels were measured., Results: Low parental warmth was associated with OPB in ADHD. High levels of parental EE elicited a larger cortisol response. Stress-related cortisol reactivity mediated the EE-OPB link for all children. This highlights the general importance of parent-child interactions on externalizing behavior problems., Conclusion: High EE is a salient stressor for ADHD children that leads to increased levels of cortisol and OPB. The development of OPB might be mediated by the stress-response to high EE.
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- 2010
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40. Identifying loci for the overlap between attention-deficit/hyperactivity disorder and autism spectrum disorder using a genome-wide QTL linkage approach.
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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.)
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- 2010
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41. Attention-deficit hyperactivity disorder (ADHD) and glial integrity: an exploration of associations of cytokines and kynurenine metabolites with symptoms and attention.
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Oades RD, Myint AM, Dauvermann MR, Schimmelmann BG, and Schwarz MJ
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- Adolescent, Attention, Attention Deficit Disorder with Hyperactivity drug therapy, Case-Control Studies, Child, Cytokines blood, Female, Humans, Interleukins blood, Kynurenine blood, Kynurenine metabolism, Linear Models, Male, Motor Activity, Neuroglia metabolism, Neuropsychological Tests, Psychiatric Status Rating Scales, Psychomotor Performance, Reaction Time, Tryptophan blood, Tryptophan metabolism, Attention Deficit Disorder with Hyperactivity blood, Attention Deficit Disorder with Hyperactivity psychology
- Abstract
Background: In contrast to studies of depression and psychosis, the first part of this study showed no major differences in serum levels of cytokines and tryptophan metabolites between healthy children and those with attention-deficit/hyperactivity disorder of the combined type (ADHD). Yet, small decreases of potentially toxic kynurenine metabolites and increases of cytokines were evident in subgroups. Therefore we examined predictions of biochemical associations with the major symptom clusters, measures of attention and response variability., Methods: We explored systematically associations of 8 cytokines (indicators of pro/anti-inflammatory function) and 5 tryptophan metabolites with symptom ratings (e.g. anxiety, opposition, inattention) and continuous performance test (CPT) measures (e.g. movement, response time (RT), variability) in 35 ADHD (14 on medication) and 21 control children. Predictions from linear regressions (controlled by the false discovery rate) confirmed or disconfirmed partial correlations accounting for age, body mass and socio-economic status., Results: (1) Total symptom ratings were associated with increases of the interleukins IL-16 and IL-13, where relations of IL-16 (along with decreased S100B) with hyperactivity, and IL-13 with inattention were notable. Opposition ratings were predicted by increased IL-2 in ADHD and IL-6 in control children. (2) In the CPT, IL-16 related to motor measures and errors of commission, while IL-13 was associated with errors of omission. Increased RT variability related to lower TNF-alpha, but to higher IFN-gamma levels. (3) Tryptophan metabolites were not significantly related to symptoms. But increased tryptophan predicted errors of omission, its breakdown predicted errors of commission and kynurenine levels related to faster RTs., Conclusions: Many associations were found across diagnostic groups even though they were more marked in one group. This confirms the quantitative trait nature of these features. Conceptually the relationships of the pro- and antiinflammatory cytokines distinguished between behaviours associated more with cognitive or more with motor control respectively. Further study should extend the number of immunological and metabolic markers to confirm or refute the trends reported here and examine their stability from childhood to adolescence in a longitudinal design.
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- 2010
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42. Attention-deficit hyperactivity disorder (ADHD) and glial integrity: S100B, cytokines and kynurenine metabolism--effects of medication.
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Oades RD, Dauvermann MR, Schimmelmann BG, Schwarz MJ, and Myint AM
- Subjects
- Adolescent, Amino Acids blood, Brain cytology, Brain metabolism, Child, Energy Metabolism physiology, Female, Humans, Kynurenine analogs & derivatives, Male, Neuroglia cytology, Neuroglia metabolism, Pilot Projects, S100 Calcium Binding Protein beta Subunit, Tryptophan blood, Attention Deficit Disorder with Hyperactivity drug therapy, Attention Deficit Disorder with Hyperactivity metabolism, Attention Deficit Disorder with Hyperactivity pathology, Central Nervous System Stimulants therapeutic use, Cytokines blood, Kynurenine blood, Nerve Growth Factors blood, S100 Proteins blood
- Abstract
Background: Children with attention-deficit/hyperactivity disorder (ADHD) show a marked temporal variability in their display of symptoms and neuropsychological performance. This could be explained in terms of an impaired glial supply of energy to support neuronal activity., Method: We pursued one test of the idea with measures of a neurotrophin reflecting glial integrity (S100B) and the influences of 8 cytokines on the metabolism of amino-acids, and of tryptophan/kynurenine to neuroprotective or potentially toxic products that could modulate glial function. Serum samples from 21 medication-naïve children with ADHD, 21 typically-developing controls, 14 medicated children with ADHD and 7 healthy siblings were analysed in this preliminary exploration of group differences and associations., Results: There were no marked group differences in levels of S100B, no major imbalance in the ratios of pro- to anti-inflammatory interleukins nor in the metabolism of kynurenine to toxic metabolites in ADHD. However, four trends are described that may be worthy of closer examination in a more extensive study. First, S100B levels tended to be lower in ADHD children that did not show oppositional/conduct problems. Second, in medicated children raised interleukin levels showed a trend to normalisation. Third, while across all children the sensitivity to allergy reflected increased levels of IL-16 and IL-10, the latter showed a significant inverse relationship to measures of S100B in the ADHD group. Fourthly, against expectations healthy controls tended to show higher levels of toxic 3-hydroxykynurenine (3 HK) than those with ADHD., Conclusions: Thus, there were no clear signs (S100B) that the glial functions were compromised in ADHD. However, other markers of glial function require examination. Nonetheless there is preliminary evidence that a minor imbalance of the immunological system was improved on medication. Finally, if lower levels of the potentially toxic 3 HK in ADHD children were confirmed this could reflect a reduction of normal pruning processes in the brain that would be consistent with delayed maturation (supported here by associations with amino-acid metabolism) and a reduced metabolic source of energy.
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- 2010
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43. Negative priming within a stroop task in children and adolescents with attention-deficit hyperactivity disorder, their siblings, and independent controls.
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Christiansen H and Oades RD
- Subjects
- Adolescent, Age Factors, Analysis of Variance, Attention physiology, Child, Cues, Female, Humans, Male, Patient Selection, Psychomotor Performance physiology, Reaction Time physiology, Severity of Illness Index, Siblings, Stroop Test, Attention Deficit Disorder with Hyperactivity physiopathology, Perceptual Masking physiology
- Abstract
Objective: Negative priming (NP) is the slowed response to a stimulus that was previously ignored. Response times in NP task conditions were compared with the interference provided by congruent/incongruent stimuli in a Stroop condition in the same task in children diagnosed with attention-deficit hyperactivity disorder (ADHD), their unaffected siblings, and independent controls., Method: Speed, accuracy, and variability of responses were compared using a computerized NP Stroop test for 35 children with ADHD, 24 siblings without diagnosis, and 37 independent healthy controls aged 6 to 17 years., Results: NP was evident at test onset for congruent trials in children without a diagnosis and was reduced initially in those with ADHD occurring in the absence of a significant Stroop interference effect and independently of age or symptom severity. Incongruency masked NP effects. Cases showed more intraindividual response-time variability., Conclusions: Both NP in normal children and its reduction in ADHD cases attenuated across trials reflecting the increased facilitation from previous stimulation.
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- 2010
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44. Performance variability, impulsivity errors and the impact of incentives as gender-independent endophenotypes for ADHD.
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Uebel H, Albrecht B, Asherson P, Börger NA, Butler L, Chen W, Christiansen H, Heise A, Kuntsi J, Schäfer U, Andreou P, Manor I, Marco R, Miranda A, Mulligan A, Oades RD, van der Meere J, Faraone SV, Rothenberger A, and Banaschewski T
- Subjects
- Adolescent, Attention Deficit Disorder with Hyperactivity diagnosis, Child, Cognition Disorders diagnosis, Disruptive, Impulse Control, and Conduct Disorders psychology, Female, Humans, Male, Neuropsychological Tests, Reaction Time, Sex Factors, Attention Deficit Disorder with Hyperactivity epidemiology, Attention Deficit Disorder with Hyperactivity psychology, Cognition Disorders epidemiology, Disruptive, Impulse Control, and Conduct Disorders epidemiology, Executive Function, Motivation, Phenotype
- Abstract
Background: Attention-deficit hyperactivity disorder (ADHD) is one of the most common and highly heritable child psychiatric disorders. There is strong evidence that children with ADHD show slower and more variable responses in tasks such as Go/Nogo tapping aspects of executive functions like sustained attention and response control which may be modulated by motivational factors and/or state-regulation processes. The aim of this study was (1) to determine if these executive functions may constitute an endophenotype for ADHD; (2) to investigate for the first time whether known modulators of these executive functions may also be familial; and (3) to explore whether gender has an impact on these measures., Methods: Two hundred and five children with ADHD combined type, 173 nonaffected biological siblings and 53 controls with no known family history of ADHD were examined using a Go/Nogo task in the framework of a multi-centre study. Performance-measures and modulating effects of event-rate and incentives were examined. Shared familial effects on these measures were assessed, and the influence of gender was tested., Results: Children with ADHD responded more slowly and variably than nonaffected siblings or controls. Nonaffected siblings showed intermediate scores for reaction-time variability, false alarms and omission errors under fast and slow event-rates. A slower event-rate did not lead to reduced performance specific to ADHD. In the incentive condition, mean reaction-times speeded up and became less variable only in children with ADHD and their nonaffected siblings, while accuracy was improved in all groups. Males responded faster, but also committed more false alarms. There were no interactions of group by gender., Conclusions: Reaction-time variability and accuracy parameters could be useful neuropsychological endophenotypes for ADHD. Performance-modulating effects of incentives suggested a familially driven motivational dysfunction which may play an important role on etiologic pathways and treatment approaches for ADHD. The effects of gender were independent of familial effects or ADHD-status, which in turn suggests that the proposed endophenotypes are independent of gender.
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- 2010
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45. ADHD and DAT1: further evidence of paternal over-transmission of risk alleles and haplotype.
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Hawi Z, Kent L, Hill M, Anney RJ, Brookes KJ, Barry E, Franke B, Banaschewski T, Buitelaar J, Ebstein R, Miranda A, Oades RD, Roeyers H, Rothenberger A, Sergeant J, Sonuga-Barke E, Steinhausen HC, Faraone SV, Asherson P, and Gill M
- Subjects
- 3' Untranslated Regions, Humans, Minisatellite Repeats, Alleles, Attention Deficit Disorder with Hyperactivity genetics, Dopamine Plasma Membrane Transport Proteins genetics, Genomic Imprinting, Haplotypes
- Abstract
We [Hawi et al. (2005); Am J Hum Genet 77:958-965] reported paternal over-transmission of risk alleles in some ADHD-associated genes. This was particularly clear in the case of the DAT1 3'-UTR VNTR. In the current investigation, we analyzed three new sample comprising of 1,248 ADHD nuclear families to examine the allelic over-transmission of DAT1 in ADHD. The IMAGE sample, the largest of the three-replication samples, provides strong support for a parent of origin effect for allele 6 and the 10 repeat allele (intron 8 and 3'-UTR VNTR, respectively) of DAT1. In addition, a similar pattern of over-transmission of paternal risk haplotypes (constructed from the above alleles) was also observed. Some support is also derived from the two smaller samples although neither is independently significant. Although the mechanism driving the paternal over-transmission of the DAT risk alleles is not known, these finding provide further support for this phenomenon., ((c) 2009 Wiley-Liss, Inc.)
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- 2010
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46. Neural activity associated with executive functions in adolescents with attention-deficit/hyperactivity disorder (ADHD).
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Wild-Wall N, Oades RD, Schmidt-Wessels M, Christiansen H, and Falkenstein M
- Subjects
- Adolescent, Analysis of Variance, Contingent Negative Variation physiology, Electroencephalography, Humans, Inhibition, Psychological, Neuropsychological Tests, Photic Stimulation methods, Reaction Time physiology, Siblings, Attention Deficit Disorder with Hyperactivity pathology, Attention Deficit Disorder with Hyperactivity physiopathology, Brain Mapping, Evoked Potentials physiology, Problem Solving physiology
- Abstract
This study used event-related potentials (ERPs) and flanker-task performance to compare executive functions in adolescents with ADHD, their siblings and independent healthy controls. The aim was to investigate the processing of distracting stimuli, control over inappropriate responses, and the detection of errors in the presence of incompatible and No-go stimuli (arrow-heads and a circle, respectively). Performance showed no major differences between the groups, although No-go errors were numerically increased for the patients. Adolescents with ADHD were not characterised by the absence of post-error response slowing. The ADHD group showed a generally smaller N2 and a missing amplification of the frontal P3 (P3a) in No-go vs. incompatible trials most likely reflecting impaired inhibitory processing. In response-locked potentials error-related negativity (Ne) and positivity (Pe) did not clearly differentiate between the groups. This study shows that ADHD children are more impaired in controlled than automatic response processing and inhibition. This was particularly evident in reduced frontal activity in general and especially after No-go stimuli. Deficient error processing may, however, not be a cardinal feature of adolescents with ADHD. Future work must orient towards determining if there is a subgroup for whom the inhibitory impairment is characteristic.
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- 2009
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47. Dopamine and serotonin transporter genotypes moderate sensitivity to maternal expressed emotion: the case of conduct and emotional problems in attention deficit/hyperactivity disorder.
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Sonuga-Barke EJ, Oades RD, Psychogiou L, Chen W, Franke B, Buitelaar J, Banaschewski T, Ebstein RP, Gil M, Anney R, Miranda A, Roeyers H, Rothenberger A, Sergeant J, Steinhausen HC, Thompson M, Asherson P, and Faraone SV
- Subjects
- Adolescent, Attention Deficit Disorder with Hyperactivity psychology, Child, Child Behavior Disorders complications, Child Behavior Disorders genetics, Child, Preschool, Expressed Emotion, Female, Genotype, Humans, Male, Receptors, Dopamine D4 genetics, Attention Deficit Disorder with Hyperactivity genetics, Dopamine Plasma Membrane Transport Proteins genetics, Mother-Child Relations, Serotonin Plasma Membrane Transport Proteins genetics
- Abstract
Background: Mothers' positive emotions expressed about their children with attention deficit/hyperactivity disorder (ADHD) are associated with a reduced likelihood of comorbid conduct problems (CP). We examined whether this association with CP, and one with emotional problems (EMO), is moderated by variants within three genes, previously reported to be associated with ADHD and to moderate the impact of environmental risks on conduct and/or emotional problems; the dopamine transporter gene (SLC6A3/DAT1), the dopamine D4 receptor gene (DRD4) and the serotonin transporter gene (SLC6A4/5HTT)., Methods: Seven hundred and twenty-eight males between the ages of 5 and 17 with a DSM-IV research diagnosis of combined type ADHD were included in these analyses. Parents and teachers rated children's conduct and emotional problems. Positive maternal expressed emotion (PMEE) was coded by independent observers on comments made during a clinical assessment with the mother based on current or recent medication-free periods., Results: Sensitivity to the effects of PMEE on CP was moderated by variants of the DAT1 and 5HTT genes. Only children who did not carry the DAT1 10R/10R or the 5HTT l/l genotypes showed altered levels of CP when exposed to PMEE. The effect was most marked where the child with ADHD had both these genotypes. For EMO, sensitivity to PMEE was found only with those who carried the DAT1 9R/9R. There was no effect of DRD4 on CP or EMO., Conclusion: The gene-environment interactions observed suggested that genetic make-up can alter the degree of sensitivity an ADHD patients has to their family environment. Further research should focus on distinguishing general sensitivity genotypes from those conferring risk or protective qualities.
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- 2009
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48. Autism symptoms in Attention-Deficit/Hyperactivity Disorder: a familial trait which correlates with conduct, oppositional defiant, language and motor disorders.
- Author
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Mulligan A, Anney RJ, O'Regan M, Chen W, Butler L, Fitzgerald M, Buitelaar J, Steinhausen HC, Rothenberger A, Minderaa R, Nijmeijer J, Hoekstra PJ, Oades RD, Roeyers H, Buschgens C, Christiansen H, Franke B, Gabriels I, Hartman C, Kuntsi J, Marco R, Meidad S, Mueller U, Psychogiou L, Rommelse N, Thompson M, Uebel H, Banaschewski T, Ebstein R, Eisenberg J, Manor I, Miranda A, Mulas F, Sergeant J, Sonuga-Barke E, Asherson P, Faraone SV, and Gill M
- Subjects
- Attention Deficit Disorder with Hyperactivity classification, Attention Deficit Disorder with Hyperactivity diagnosis, Attention Deficit Disorder with Hyperactivity physiopathology, Autistic Disorder diagnosis, Autistic Disorder physiopathology, Child, Child, Preschool, Comorbidity, Conduct Disorder epidemiology, Fear psychology, Female, Humans, Language Development Disorders epidemiology, Male, Phenotype, Psychiatric Status Rating Scales statistics & numerical data, Psychometrics methods, Severity of Illness Index, Sex Distribution, Surveys and Questionnaires, Attention Deficit Disorder with Hyperactivity epidemiology, Autistic Disorder epidemiology, Motor Activity, Siblings psychology
- Abstract
It is hypothesised that autism symptoms are present in Attention-Deficit/Hyperactivity Disorder (ADHD), are familial and index subtypes of ADHD. Autism symptoms were compared in 821 ADHD probands, 1050 siblings and 149 controls. Shared familiality of autism symptoms and ADHD was calculated using DeFries-Fulker analysis. Autism symptoms were higher in probands than siblings or controls, and higher in male siblings than male controls. Autism symptoms were familial, partly shared with familiality of ADHD in males. Latent class analysis using SCQ-score yielded five classes; Class 1(31%) had few autism symptoms and low comorbidity; Classes 2-4 were intermediate; Class 5(7%) had high autism symptoms and comorbidity. Thus autism symptoms in ADHD represent a familial trait associated with increased neurodevelopmental and oppositional/conduct disorders.
- Published
- 2009
- Full Text
- View/download PDF
49. Replication of a rare protective allele in the noradrenaline transporter gene and ADHD.
- Author
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Xu X, Hawi Z, Brookes KJ, Anney R, Bellgrove M, Franke B, Barry E, Chen W, Kuntsi J, Banaschewski T, Buitelaar J, Ebstein R, Fitzgerald M, Miranda A, Oades RD, Roeyers H, Rothenberger A, Sergeant J, Sonuga-Barke E, Steinhausen HC, Faraone SV, Gill M, and Asherson P
- Subjects
- Adolescent, Attention Deficit Disorder with Hyperactivity diagnosis, Case-Control Studies, Chi-Square Distribution, Child, Child, Preschool, Gene Frequency, Genetic Markers, Genotype, Heterozygote, Humans, Introns, Mothers statistics & numerical data, Multicenter Studies as Topic, Odds Ratio, Parents, Polymorphism, Single Nucleotide, Siblings, Alleles, Attention Deficit Disorder with Hyperactivity genetics, Genetic Predisposition to Disease, Norepinephrine Plasma Membrane Transport Proteins genetics
- Abstract
Replication is a key to resolving whether a reported genetic association represents a false positive finding or an actual genetic risk factor. In a previous study screening 51 candidate genes for association with ADHD in a multi-centre European sample (the IMAGE project), two single nucleotide polymorphisms (SNPs) within the norepinephrine transporter (SLC6A2) gene were found to be associated with attention deficit hyperactivity disorder (ADHD). The same SNP alleles were also reported to be associated with ADHD in a separate study from the Massachusetts General Hospital in the US. Using two independent samples of ADHD DSM-IV combined subtype trios we attempted to replicate the reported associations with SNPs rs11568324 and rs3785143 in SLC6A2. Significant association of the two markers was not observed in the two independent replication samples. However, across all four datasets the overall evidence of association with ADHD was significant (for SNP rs11568324 P = 0.0001; average odds ratio = 0.33; for SNP rs3785143 P = 0.008; average odds ratio = 1.3). The data were consistent for rs11568324, suggesting the existence of a rare allele conferring protection for ADHD within the SLC6A2 gene. Further investigations should focus on identifying the mechanisms underlying the protective effect., (Copyright 2008 Wiley-Liss, Inc.)
- Published
- 2008
- Full Text
- View/download PDF
50. Meta-analysis of genome-wide linkage scans of attention deficit hyperactivity disorder.
- Author
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Zhou K, Dempfle A, Arcos-Burgos M, Bakker SC, Banaschewski T, Biederman J, Buitelaar J, Castellanos FX, Doyle A, Ebstein RP, Ekholm J, Forabosco P, Franke B, Freitag C, Friedel S, Gill M, Hebebrand J, Hinney A, Jacob C, Lesch KP, Loo SK, Lopera F, McCracken JT, McGough JJ, Meyer J, Mick E, Miranda A, Muenke M, Mulas F, Nelson SF, Nguyen TT, Oades RD, Ogdie MN, Palacio JD, Pineda D, Reif A, Renner TJ, Roeyers H, Romanos M, Rothenberger A, Schäfer H, Sergeant J, Sinke RJ, Smalley SL, Sonuga-Barke E, Steinhausen HC, van der Meulen E, Walitza S, Warnke A, Lewis CM, Faraone SV, and Asherson P
- Subjects
- Chromosome Mapping, Chromosomes, Human, Pair 16, Genome, Human, Humans, Lod Score, Probability, White People, Attention Deficit Disorder with Hyperactivity genetics, Genetic Linkage
- Abstract
Genetic contribution to the development of attention deficit hyperactivity disorder (ADHD) is well established. Seven independent genome-wide linkage scans have been performed to map loci that increase the risk for ADHD. Although significant linkage signals were identified in some of the studies, there has been limited replications between the various independent datasets. The current study gathered the results from all seven of the ADHD linkage scans and performed a Genome Scan Meta Analysis (GSMA) to identify the genomic region with most consistent linkage evidence across the studies. Genome-wide significant linkage (P(SR) = 0.00034, P(OR) = 0.04) was identified on chromosome 16 between 64 and 83 Mb. In addition there are nine other genomic regions from the GSMA showing nominal or suggestive evidence of linkage. All these linkage results may be informative and focus the search for novel ADHD susceptibility genes., (Copyright 2008 Wiley-Liss, Inc.)
- Published
- 2008
- Full Text
- View/download PDF
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