Author: "Vieland VJ" - Searchworks@Jio Institute Digital Library Search Results

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117 results on '"Vieland VJ"'

1. Arginase I gene single-nucleotide polymorphism is associated with decreased risk of pulmonary hypertension in bronchopulmonary dysplasia

Author: Trittmann, JK, Nelin, LD, Zmuda, EJ, Gastier-Foster, JM, Chen, B, Backes, CH, Frick, J, Vaynshtok, P, Vieland, VJ, and Klebanoff, MA
Published: 2014
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2. Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia

Author: Anney, RJL, Ripke, S, Anttila, V, Grove, J, Holmans, P, Huang, H, Klei, L, Lee, PH, Medland, SE, Neale, B, Robinson, E, Weiss, LA, Zwaigenbaum, L, Yu, TW, Wittemeyer, K, Willsey, AJ, Wijsman, EM, Werge, T, Wassink, TH, Waltes, R, Walsh, CA, Wallace, S, Vorstman, JAS, Vieland, VJ, Vicente, AM, Vanengeland, H, Tsang, K, Thompson, AP, Szatmari, P, Svantesson, O, Steinberg, S, Stefansson, K, Stefansson, H, State, MW, Soorya, L, Silagadze, T, Scherer, SW, Schellenberg, GD, Sandin, S, Sanders, SJ, Saemundsen, E, Rouleau, GA, Rogé, B, Roeder, K, Roberts, W, Reichert, J, Reichenberg, A, Rehnström, K, Regan, R, Poustka, F, Poultney, CS, Piven, J, Pinto, D, Pericak-Vance, MA, Pejovic-Milovancevic, M, Pedersen, MG, Pedersen, CB, Paterson, AD, and Parr, JR
Subjects: mental disorders
Abstract: © 2017 The Author(s). Background: Over the past decade genome-wide association studies (GWAS) have been applied to aid in the understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried by the true risk variants and the corresponding statistical power to observe such effects given the study design and sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however, these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR)
Published: 2017

3. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Author: Szatmari, P, Paterson, AD, Zwaigenbaum, L, Roberts, W, Brian, J, Liu, XQ, Vincent, JB, Skaug, JL, Thompson, AP, Senman, L, Feuk, L, Qian, C, Bryson, SE, Jones, MB, Marshall, CR, Scherer, SW, Vieland, VJ, Bartlett, C, Mangin, LV, Goedken, R, Segre, A, Pericak-Vance, MA, Cuccaro, ML, Gilbert, JR, Wright, HH, Abramson, RK, Betancur, C, Bourgeron, T, Gillberg, C, Leboyer, M, Buxbaum, JD, Davis, KL, Hollander, E, Silverman, JM, Hallmayer, J, Lotspeich, L, Sutcliffe, JS, Haines, JL, Folstein, SE, Piven, J, Wassink, TH, Sheffield, V, Geschwind, DH, Bucan, M, Brown, WT, Cantor, RM, Constantino, JN, Gilliam, TC, Herbert, M, LaJonchere, C, Ledbetter, DH, Lese-Martin, C, Miller, J, Nelson, S, Samango-Sprouse, CA, Spence, S, State, M, Tanzi, RE, Coon, H, Dawson, G, Devlin, B, Estes, A, Flodman, P, Klei, L, McMahon, WM, Minshew, N, Munson, J, Korvatska, E, Rodier, PM, Schellenberg, GD, Smith, M, Spence, MA, Stodgell, C, Tepper, PG, Wijsman, EM, Yu, CE, Rogé, B, Mantoulan, C, Wittemeyer, K, Poustka, A, Felder, B, Klauck, SM, Schuster, C, Poustka, F, Bölte, S, Feineis-Matthews, S, Herbrecht, E, Schmötzer, G, Tsiantis, J, Papanikolaou, K, Maestrini, E, and Bacchelli, E
Subjects: mental disorders
Abstract: Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,168 families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs. © 2007 Nature Publishing Group.
Published: 2007

4. Evaluation of the chromosome 2q37.3 Gene CENTG2 as an autism susceptibility gene

Author: Wassink, TH, Piven, J, Vieland, VJ, Jenkins, L, Frantz, R, Bartlett, CW, Goedken, R, Childress, D, Spence, MA, Smith, M, and Sheffield, VC
Abstract: Autism is a highly heritable neurodevelopmental syndrome with a complex genetic etiology for which no disease genes have yet been definitively identified. We ascertained three subjects with autism spectrum disorders and chromosome 2q37.3 terminal deletions, and refined the deletion breakpoint regions using polymorphism mapping and fluorescence in situ hybridization (FISH) probes. We then genotyped polymorphic markers downstream from the breakpoint region in a sample of autism affected sibling pair families. Both the chromosomal breakpoints and linkage analyses focused our attention on the gene centaurin gamma-2 (CENTG2), an attractive candidate gene based also on its function and pattern of expression. We therefore assessed CENTG2 for its involvement in autism by (1) screening its exons for variants in 199 autistic and 160 non-autistic individuals, and (2) genotyping and assessing intra-genic polymorphisms for linkage and linkage disequilibrium (LD). The exon screen revealed a Ser → Gly substitution in one proband, an Arg → Gly substitution in another, and a number of additional variants unique to the autism families. No unique variants were found in the control subjects. The genotyping produced strong evidence for linkage from two intronic polymorphisms, with a maximum two-point HLOD value of 3.96 and a posterior probability of linkage (PPL) of 51%. These results were contradicted, however, by substantially weaker evidence for linkage from multi-point analyses and by no evidence of LD. We conclude, therefore, that 2q37.3 continues to be a region of interest for autism susceptibility, and that CENTG2 is an intriguing candidate gene that merits further scrutiny for its role in autism. © 2005 Wiley-Liss, Inc.
Published: 2005

5. Identification of a schizophrenia-associated functional noncoding variant in NOS1AP.

Author: Wratten NS, Memoli H, Huang Y, Dulencin AM, Matteson PG, Cornacchia MA, Azaro MA, Messenger J, Hayter JE, Bassett AS, Buyske S, Millonig JH, Vieland VJ, Brzustowicz LM, Wratten, Naomi S, Memoli, Holly, Huang, Yungui, Dulencin, Anna M, Matteson, Paul G, and Cornacchia, Michelle A
Abstract: Objective: The authors previously demonstrated significant association between markers within NOS1AP and schizophrenia in a set of Canadian families of European descent, as well as significantly increased expression in schizophrenia of NOS1AP in unrelated postmortem samples from the dorsolateral prefrontal cortex. In this study the authors sought to apply novel statistical methods and conduct additional biological experiments to isolate at least one risk allele within NOS1AP.Method: Using the posterior probability of linkage disequilibrium (PPLD) to measure the probability that a single nucleotide polymorphism (SNP) is in linkage disequilibrium with schizophrenia, the authors evaluated 60 SNPs from NOS1AP in 24 Canadian families demonstrating linkage and association to this region. SNPs exhibiting strong evidence of linkage disequilibrium were tested for regulatory function by luciferase reporter assay. Two human neural cell lines (SK-N-MC and PFSK-1) were transfected with a vector containing each allelic variant of the SNP, the NOS1AP promoter, and a luciferase gene. Alleles altering expression were further assessed for binding of nuclear proteins by electrophoretic mobility shift assay.Results: Three SNPs produced PPLDs >40%. One of them, rs12742393, demonstrated significant allelic expression differences in both cell lines tested. The allelic variation at this SNP altered the affinity of nuclear protein binding to this region of DNA.Conclusions: The A allele of rs12742393 appears to be a risk allele associated with schizophrenia that acts by enhancing transcription factor binding and increasing gene expression. [ABSTRACT FROM AUTHOR]
Published: 2009
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6. Convergence of Genes and Cellular Pathways Dysregulated in Autism Spectrum Disorders

Author: Joana Almeida, Christian R. Marshall, Hakon Hakonarson, Bárbara Oliveira, Anthony J. Griswold, Jacob A. S. Vorstman, Bhooma Thiruvahindrapuram, Suma Jacob, Judith Conroy, Alistair T. Pagnamenta, Christelle Cabrol, Jeremy R. Parr, Daniel H. Geschwind, Nancy J. Minshew, Xiao Xu, Richard Anney, Sven Bölte, Zhuozhi Wang, Emily L. Crawford, Elsa Delaby, Margaret A. Pericak-Vance, Joachim Hallmayer, Jonathan L. Haines, Dalila Pinto, Susana Mouga, Alexander Kolevzon, Elena Bacchelli, Frederico Duque, Bernie Devlin, Latha Soorya, Cátia Café, Kirsty Wing, Jennifer K. Lowe, Ana Tryfon, Stephen J. Guter, Geraldine Dawson, Tiago R. Magalhaes, Anthony J. Bailey, Michael Gill, Peter Szatmari, Steven Gallinger, Marion Pilorge, James S. Sutcliffe, Bridget A. Fernandez, Herman van Engeland, Catalina Betancur, Guiomar Oliveira, Andrew Green, Eftichia Duketis, Bernadette Rogé, Ann Le Couteur, Evdokia Anagnostou, Michelle Cotterchio, Daniele Merico, Giovanna Pellecchia, Jonathan Green, Regina Regan, Jillian P. Casey, Guiqing Cai, Gerard D. Schellenberg, Jennifer L. Howe, Elena Maestrini, Andrew D. Paterson, L. Alison McInnes, Patrick Bolton, Edwin H. Cook, Richard Delorme, Lambertus Klei, Thomas Bourgeron, Gillian Baird, Christine M. Freitag, Beth A. Dombroski, Andreas G. Chiocchetti, Sabine M. Klauck, Susan E. Folstein, Mafalda Barbosa, Anthony P. Monaco, Marion Leboyer, Nadia Bolshakova, Fritz Poustka, Richard Holt, Kerstin Wittemeyer, Wendy Roberts, Lonnie Zwaigenbaum, Louise Gallagher, Susan G. McGrew, Joseph D. Buxbaum, Graham Casey, Simon Wallace, Catherine Lord, Sean Brennan, Robert Ziman, Alison K. Merikangas, John I. Nurnberger, Christopher Gillberg, Ellen M. Wijsman, Astrid M. Vicente, Inȇs C. Conceição, Sean Ennis, Patricia Jiménez González, Hilary Coon, Raphael Bernier, John R. Gilbert, Ann P. Thompson, Susanne Thomson, Agatino Battaglia, Maretha de Jonge, Michael L. Cuccaro, Catarina Correia, Veronica J. Vieland, Stephen W. Scherer, Pauline Chaste, 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, Department of Psychiatry, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Seaver Autism Center for Research and Treatment, Friedman Brain Institute, The Mindich Child Health and Development Institute, The Icahn Institute for Genomics and Multiscale Biology, Neurosciences 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), Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Trinity College Dublin-St. James's Hospital, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), McLaughlin Centre, University of Toronto, BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Department of Neurology, University of California [Los Angeles] (UCLA), University of California-University of California-David Geffen School of Medicine [Los Angeles], University of California-University of California, Fisico-Quimica Biologica, Universidade Federal do Rio de Janeiro (UFRJ), John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Department of Pathology, Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), Prevention & Cancer Control, Cancer Care Ontario, Department of Preventive Medicine, University of Southern California (USC), Department of Pediatrics, University of Alberta, School of Education, University of Birmingham [Birmingham], University of Oxford [Oxford]-Warneford Hospital, Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Institute for Biomedical Imaging and Life Science, University of Coimbra [Portugal] (UC), Vanderbilt University [Nashville], Center for Autism and the Developing Brain (CADB), Weill Medical College of Cornell University [New York], Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-IFR10, Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Institute of Health and Society, Newcastle University [Newcastle], Department of Child and Adolescent Psychiatry, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), Child Developmental and Behavioral Unit, Hospital Nacional de Niños Dr Sáenz Herrera, Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Manchester Academic Health Sciences Centre, Gillberg Neuropsychiatry Centre [Göteborg, Sueden], Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU), Institute of Child Health, University College of London [London] (UCL), Memorial University of Newfoundland [St. John's], Disciplines of Genetics and Medicine, Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Institute of Psychiatry, King‘s College London, Institute of psychiatry, University of Washington [Seattle], Paediatric Neurodisability, King‘s College London-King's Health Partners, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London-The Institute of Psychiatry, University of British Columbia (UBC), Bloorview Research Institute, Division of Medical Genetics [Seattle], Departments of Biostatistics and Medicine, Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Institute of Neuroscience [Newcastle] (ION), Institutes of Neuroscience and Health and Society, Indiana University School of Medicine, Indiana University System-Indiana University System, The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Utah Autism Research Program, University of Utah Psychiatry Department, University of Miami School of Medicine, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Department of Psychiatry and Behavioral Sciences [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford School of Medicine [Stanford], Institute for Juvenile Research, University of Illinois [Chicago] (UIC), Department of Neuroscience, Main funders of the Autism Genome Project: Autism Speaks (USA), the Health Research Board (Ireland, AUT/2006/1, AUT/2006/2, PD/2006/48), the Medical Research Council (UK), the Hilibrand Foundation (USA), Genome Canada, the Ontario Genomics Institute, and the Canadian Institutes of Health Research (CIHR), Autism Genome Project Consortium, Neuroscience Paris Seine (NPS), 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), University of Oxford, University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], University of California (UC)-University of California (UC), University of Pennsylvania, University of Oxford-Warneford Hospital, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), Betancur, Catalina, Instituto Nacional de Saude Dr Ricardo Jorge, Universidade Federal do Rio de Janeiro [Rio de Janeiro] (UFRJ), Laboratoire Analyse et Modélisation pour la Biologie et l'Environnement (LAMBE - UMR 8587), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Università di Bologna [Bologna] (UNIBO), Mount Sinai Hospital (MSH), University of Toronto-The Hospital for Sick Children, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Gillberg Neuropsychiatry Centre, University of Gothenburg (GU), Stanford University Medical School, Stanford University School of Medicine [Stanford], Stanford University [Stanford], Université de Toulouse (UT)-Université de Toulouse (UT), Pinto D, Delaby E, Merico D, Barbosa M, Merikangas A, Klei L, Thiruvahindrapuram B, Xu X, Ziman R, Wang Z, Vorstman JA, Thompson A, Regan R, Pilorge M, Pellecchia G, Pagnamenta AT, Oliveira B, Marshall CR, Magalhaes TR, Lowe JK, Howe JL, Griswold AJ, Gilbert J, Duketis E, Dombroski BA, De Jonge MV, Cuccaro M, Crawford EL, Correia CT, Conroy J, Conceição IC, Chiocchetti AG, Casey JP, Cai G, Cabrol C, Bolshakova N, Bacchelli E, Anney R, Gallinger S, Cotterchio M, Casey G, Zwaigenbaum L, Wittemeyer K, Wing K, Wallace S, van Engeland H, Tryfon A, Thomson S, Soorya L, Rogé B, Roberts W, Poustka F, Mouga S, Minshew N, McInnes LA, McGrew SG, Lord C, Leboyer M, Le Couteur AS, Kolevzon A, Jiménez González P, Jacob S, Holt R, Guter S, Green J, Green A, Gillberg C, Fernandez BA, Duque F, Delorme R, Dawson G, Chaste P, Café C, Brennan S, Bourgeron T, Bolton PF, Bölte S, Bernier R, Baird G, Bailey AJ, Anagnostou E, Almeida J, Wijsman EM, Vieland VJ, Vicente AM, Schellenberg GD, Pericak-Vance M, Paterson AD, Parr JR, Oliveira G, Nurnberger JI, Monaco AP, Maestrini E, Klauck SM, Hakonarson H, Haines JL, Geschwind DH, Freitag CM, Folstein SE, Ennis S, Coon H, Battaglia A, Szatmari P, Sutcliffe JS, Hallmayer J, Gill M, Cook EH, Buxbaum JD, Devlin B, Gallagher L, Betancur C, and Scherer SW.
Subjects: Male, INTELLECTUAL DISABILITY, pathways, Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, Bioinformatics, DUPLICATIONS, Intellectual disability, Gene Regulatory Networks, Genetics(clinical), Copy-number variation, 10. No inequality, Child, GDI1, Genetics (clinical), Sequence Deletion, COPY NUMBER VARIANTS, Genetics, gene networks, Copy Number Variation, 3. Good health, Pedigree, Fragile X syndrome, Multigene Family, Female, Metabolic Networks and Pathways, de novo, DNA Copy Number Variations, autism, Biology, rare CNV, PHENOTYPE ONTOLOGY, Article, Structural variation, mental disorders, medicine, Humans, ddc:610, FRAGILE-X-SYNDROME, GENOME-WIDE ASSOCIATION, Gene, [SDV.GEN]Life Sciences [q-bio]/Genetics, HDAC4, SETD5, medicine.disease, CHD2, inherited, STRUCTURAL VARIATION, DELETIONS, DE-NOVO MUTATIONS, Child Development Disorders, Pervasive, Autism
Abstract: International audience; Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation.
Published: 2014
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7. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Author: 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

8. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

Author: 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 - 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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
Subjects: 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.
Published: 2013

9. Individual common variants exert weak effects on the risk for autism spectrum disorderspi

Author: Naisha Shah, William M. McMahon, Barbara Parrini, Jeremy R. Parr, Thomas Bourgeron, Vanessa Hus, Gudrun Nygren, Sabine M. Klauck, John B. Vincent, Nadine M. Melhem, Jillian P. Casey, Christina Corsello, Jonathan L. Haines, Andrew D. Paterson, Raffaella Tancredi, Alistair T. Pagnamenta, Jonathan Green, Richard Delorme, Geraldine Dawson, Andrew Pickles, Carine Mantoulan, Alexander Kolevzon, Bridget A. Fernandez, Frederico Duque, Inês Sousa, Tara Paton, Kathryn Roeder, Joana Almeida, Richard Anney, Margaret A. Pericak-Vance, Joachim Hallmayer, Gerard D. Schellenberg, Sabata C. Lund, Rita M. Cantor, Daniel H. Geschwind, Janine A. Lamb, Annette Estes, Sven Bölte, Hakon Hakonarson, Gillian Hughes, Gillian Baird, John I. Nurnberger, Jessica Brian, Bernie Devlin, Roberta Igliozzi, Vera Stoppioni, Jiannis Ragoussis, Peter Szatmari, Ghazala Mirza, Eric Fombonne, Thomas H. Wassink, Emily L. Crawford, Nuala Sykes, Danielle Zurawiecki, Graham Kenny, David J. Posey, Elena Maestrini, Vlad Kustanovich, Elena Bacchelli, Veronica J. Vieland, Stephen W. Scherer, Guiomar Oliveira, Simon Wallace, John R. Gilbert, Latha Soorya, Sean Brennan, Tiago R. Magalhaes, Hilary Coon, Elizabeth A. Heron, Sabine Schlitt, Fritz Poustka, Astrid M. Vicente, Patrick Bolton, Linda Lotspeich, Nancy J. Minshew, Val C. Sheffield, Bennett L. Leventhal, Xiao-Qing Liu, Andrew Green, Joseph D. Buxbaum, Shawn Wood, Susan E. Folstein, Sean Ennis, Catarina Correia, James S. Sutcliffe, Carolyn Noakes, Ann Le Couteur, Marion Leboyer, Ann P. Thompson, Christine M. Freitag, Fred R. Volkmar, Katerina Papanikolaou, Dalila Pinto, Agatino Battaglia, Frances Lombard, Joseph Piven, Maretha de Jonge, Michael Rutter, Clara Lajonchere, Kerstin Wittemeyer, Herman van Engeland, Michael L. Cuccaro, Richard Holt, Lonnie Zwaigenbaum, Louise Gallagher, Jeff Munson, Ana Tryfon, John Tsiantis, Lambertus Klei, Christopher Gillberg, Penny Farrar, Joseph T. Glessner, Ellen M. Wijsman, Anthony P. Monaco, Wendy Roberts, Nadia Bolshakova, Cecilia Kim, Judith Miller, Stephen J. Guter, Susanne Thomson, Catherine Lord, Anthony J. Bailey, Miriam Law-Smith, Michael Gill, Christopher J. McDougle, Bernadette Rogé, Alison K. Merikangas, Jacob A. S. Vorstman, Suma Jacob, Judith Conroy, Kirsty Wing, Regina Regan, Jennifer L. Howe, Stanley F. Nelson, Edwin H. Cook, Catalina Betancur, Eftichia Duketis, Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), The Centre for Applied Genomics, Toronto, University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Newcomen Centre, Guy's Hospital [London], Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Department of Child and Adolescent Psychiatry, Institute of psychiatry, Molecular and Cellular Neurobiology, Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Autism and Communicative Disorders Centre, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Psychiatry, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Service de psychopathologie de l'enfant et de l'adolescent, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7), 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), Department of Speech and Hearing Sciences [Washington], University of Washington [Seattle], The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Disciplines of Genetics and Medicine, Memorial University of Newfoundland [St. John's], University of Miami School of Medicine, John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], Research Unit on Children's Psychosocial Maladjustment, Université Laval [Québec] (ULaval)-Department of Psychology, University of Gothenburg (GU), The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Manchester Academic Health Sciences Centre, Department of Disability and Human Development, University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Department of Psychiatry and Behavioral Sciences [Stanford], Stanford Medicine, Stanford University-Stanford University, Human Genetics Center, The University of Texas Health Science Center at Houston (UTHealth), Autism Genetic Resource Exchange, Autism Speaks, Centre for Integrated Genomic Medical Research, Manchester, University of Manchester [Manchester], Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, European Network of Bipolar Research Expert Centres (ENBREC), ENBREC, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), Centre de Référence du Syndrome de Prader-Willi, CHU Toulouse [Toulouse], Indiana University School of Medicine, Indiana University System-Indiana University System, Department of Psychiatry and Behavioral Sciences, University Department of Child Psychiatry, National and Kapodistrian University of Athens (NKUA), Department of Medicine, Manchester, University of Manchester [Manchester]-School of Epidemiology and Health Science, Department of Statistics, Carnegie Mellon University [Pittsburgh] (CMU), Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Social, Genetic and Developmental Psychiatry Centre, Department of Pediatrics, University of Iowa [Iowa City]-Howard Hughes Medical-Institute Carver College of Medicine, Neuropsichiatria Infantile, Ospedale Santa Croce, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, University of Toronto, Child Study Centre, Yale University School of Medicine, University of Oxford [Oxford]-Warneford Hospital, University of Alberta, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), The Institute of Psychiatry-King‘s College London, Department of Human Genetics, Los Angeles, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California-University of California [Los Angeles] (UCLA), University of California-University of California, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], 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), Department of Neurology, University of California-University of California-David Geffen School of Medicine [Los Angeles], Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Institutes of Neuroscience and Health and Society, Newcastle University [Newcastle], Carolina Institute for Developmental Disabilities, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Departments of Biostatistics and Medicine, 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), Stanford School of Medicine [Stanford], Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Children’s Hospital of Philadelphia (CHOP )-Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia], The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Yale School of Medicine [New Haven, Connecticut] (YSM), King‘s College London-The Institute of Psychiatry, University of California (UC)-University of California (UC)-University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Anney R, Klei L, Pinto D, Almeida J, Bacchelli E, Baird G, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Casey J, Conroy J, Correia C, Corsello C, Crawford EL, de Jonge M, Delorme R, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Fombonne E, Gilbert J, Gillberg C, Glessner JT, Green A, Green J, Guter SJ, Heron EA, Holt R, Howe JL, Hughes G, Hus V, Igliozzi R, Jacob S, Kenny GP, Kim C, Kolevzon A, Kustanovich V, Lajonchere CM, Lamb JA, Law-Smith M, Leboyer M, Le Couteur A, Leventhal BL, Liu XQ, Lombard F, Lord C, Lotspeich L, Lund SC, Magalhaes TR, Mantoulan C, McDougle CJ, Melhem NM, Merikangas A, Minshew NJ, Mirza GK, Munson J, Noakes C, Nygren G, Papanikolaou K, Pagnamenta AT, Parrini B, Paton T, Pickles A, Posey DJ, Poustka F, Ragoussis J, Regan R, Roberts W, Roeder K, Roge B, Rutter ML, Schlitt S, Shah N, Sheffield VC, Soorya L, Sousa I, Stoppioni V, Sykes N, Tancredi R, Thompson AP, Thomson S, Tryfon A, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Vorstman J, Wallace S, Wing K, Wittemeyer K, Wood S, Zurawiecki D, Zwaigenbaum L, Bailey AJ, Battaglia A, Cantor RM, Coon H, Cuccaro ML, Dawson G, Ennis S, Freitag CM, Geschwind DH, Haines JL, Klauck SM, McMahon WM, Maestrini E, Miller J, Monaco AP, Nelson SF, Nurnberger JI Jr, Oliveira G, Parr JR, Pericak-Vance MA, Piven J, Schellenberg GD, Scherer SW, Vicente AM, Wassink TH, Wijsman EM, Betancur C, Buxbaum JD, Cook EH, Gallagher L, Gill M, Hallmayer J, Paterson AD, Sutcliffe JS, Szatmari P, Vieland VJ, Hakonarson H, Devlin B, University of Oxford, Pôle Enfants [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), University of Oxford-Warneford Hospital, University of Pennsylvania, University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), Betancur, Catalina, and Université de Toulouse (UT)-Université de Toulouse (UT)
Subjects: Male, CNTNAP2, Genotype, Genome-wide association study, Single-nucleotide polymorphism, Nerve Tissue Proteins, [SDV.GEN] Life Sciences [q-bio]/Genetics, Biology, Language Development, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, autism spectrum disorders (ASDs), Gene Frequency, Risk Factors, mental disorders, Genetics, medicine, Humans, Genetic Predisposition to Disease, Copy-number variation, Allele, GENOME-WIDE ASSOCIATION, Child, Molecular Biology, Allele frequency, Genetics (clinical), Alleles, 030304 developmental biology, 0303 health sciences, [SDV.GEN]Life Sciences [q-bio]/Genetics, Association Studies Articles, Membrane Proteins, General Medicine, medicine.disease, Genetic architecture, Child Development Disorders, Pervasive, common variant, Perturbações do Desenvolvimento Infantil e Saúde Mental, Autism, Female, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: International audience; While it is apparent that rare variation can play an important role in the genetic architecture of autism spectrum disorders (ASDs), the contribution of common variation to the risk of developing ASD is less clear. To produce a more comprehensive picture, we report Stage 2 of the Autism Genome Project genome-wide association study, adding 1301 ASD families and bringing the total to 2705 families analysed (Stages 1 and 2). In addition to evaluating the association of individual single nucleotide polymorphisms (SNPs), we also sought evidence that common variants, en masse, might affect the risk. Despite genotyping over a million SNPs covering the genome, no single SNP shows significant association with ASD or selected phenotypes at a genome-wide level. The SNP that achieves the smallest P-value from secondary analyses is rs1718101. It falls in CNTNAP2, a gene previously implicated in susceptibility for ASD. This SNP also shows modest association with age of word/phrase acquisition in ASD subjects, of interest because features of language development are also associated with other variation in CNTNAP2. In contrast, allele scores derived from the transmission of common alleles to Stage 1 cases significantly predict case status in the independent Stage 2 sample. Despite being significant, the variance explained by these allele scores was small (Vm< 1%). Based on results from individual SNPs and their en masse effect on risk, as inferred from the allele score results, it is reasonable to conclude that common variants affect the risk for ASD but their individual effects are modest.
Published: 2012

10. A genome-wide scan for common alleles affecting risk for autism

Author: Veronica J. Vieland, Stephen W. Scherer, Elizabeth A. Heron, Barbara Parrini, Jeremy R. Parr, Louise Gallagher, Jeff Munson, Annemarie Poustka, Susan E. Folstein, Irene Drmic, Gudrun Nygren, John P. Rice, Jeff Salt, Simon Wallace, Geraldine Dawson, Daniel H. Geschwind, Annette Estes, Sean Brennan, Alistair T. Pagnamenta, Nancy J. Minshew, Christina Corsello, Jonathan Green, William M. McMahon, Christopher Gillberg, Kathryn Roeder, Lambertus Klei, Anath C. Lionel, Bridget A. Fernandez, Thomas Bourgeron, Ellen M. Wijsman, Gerard D. Schellenberg, Wendy Roberts, Jeremy Goldberg, Frederico Duque, Ghazala Mirza, Sean Ennis, Joana Almeida, Nadine M. Melhem, Jillian P. Casey, Roberta Igliozzi, Ricardo Segurado, Carine Mantoulan, Katy Renshaw, Kai Wang, Andrew D. Paterson, Raffaella Tancredi, Matthew Nicholas Hill, Richard Anney, Christian R. Marshall, Anthony P. Monaco, Linda Lotspeich, Marion Leboyer, Richard Holt, Andrew Pickles, Vlad Kustanovich, William M. Mahoney, Jessica Brian, Inês Sousa, Peter Szatmari, Vanessa Hus, Janine A. Lamb, Hakon Hakonarson, Lonnie Zwaigenbaum, John Tsiantis, David J. Posey, Olena Korvatska, Guillermo Casallo, Rita M. Cantor, Bhooma Thiruvahindrapduram, Nadia Bolshakova, Sven Bölte, Alison K. Merikangas, Brian L. Yaspan, Cecilia Kim, Andrew Crossett, Fritz Poustka, Danielle Zurawiecki, Agatino Battaglia, Sabata C. Lund, Ann P. Thompson, Bennett L. Leventhal, Jessica Rickaby, Zhouzhi Wang, John I. Nurnberger, Astrid M. Vicente, Maretha de Jonge, Tiago R. Magalhaes, Michael L. Cuccaro, Val C. Sheffield, Nuala Sykes, Elena Maestrini, Guiomar Oliveira, Joseph D. Buxbaum, Fred R. Volkmar, Shawn Wood, Magdalena Laskawiec, Katherine Sansom, Herman van Engeland, Jane McGrath, Thomas H. Wassink, Su H. Chu, Elena Bacchelli, Carolyn Noakes, Ann Le Couteur, Catarina Correia, Ohsuke Migita, Bernie Devlin, Hilary Coon, Gillian Baird, Joseph Piven, Tom Berney, Ana Tryfon, Abdul Noor, Patrick Bolton, Latha Soorya, Vera Stoppioni, Stephen J. Guter, Joseph T. Glessner, Michael Gill, Christopher J. McDougle, Anthony J. Bailey, Margaret A. Pericak-Vance, Joachim Hallmayer, Christine M. Freitag, Penny Farrar, Kirsty Wing, Katherine E. Tansey, Bernadette Rogé, Michael Rutter, Christina Strawbridge, Brett S. Abrahams, Kerstin Wittemeyer, Laura J. Bierut, Tara Paton, Emily L. Crawford, Jonathan L. Haines, Alexander Kolevzon, Gillian Hughes, Lili Senman, James S. Sutcliffe, John B. Gilbert, Katerina Papanikolaou, Andrew R. Carson, Lynne E Cochrane, Regina Regan, Judith Miller, Susanne Thomson, Helen McConachie, Daisuke Sato, Richard Delorme, Jiannis Ragoussis, Eric Fombonne, Clara Lajonchere, Judith Conroy, Dalila Pinto, Aparna Prasad, Naisha Shah, Stanley F. Nelson, Sabine M. Klauck, Catalina Betancur, John B. Vincent, Eftichia Duketis, Jennifer L. Howe, Edwin H. Cook, Xiao-Qing Liu, Catherine Lord, Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Department of Neurology, University of California [Los Angeles] (UCLA), University of California-University of California-David Geffen School of Medicine [Los Angeles], University of California-University of California, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Department of Psychiatry, University of Oxford [Oxford]-Warneford Hospital, Newcomen Centre, Guy's Hospital [London], Department of Psychiatry and Behavioral Sciences [Stanford], Stanford Medicine, Stanford University-Stanford University, Child and Adolescent Mental Health, Newcastle University [Newcastle], Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Department of Child and Adolescent Psychiatry, Institute of psychiatry, Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Autism Research Unit, University of Toronto-The Hospital for sick children [Toronto] (SickKids), Autism and Communicative Disorders Centre, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Department of Statistics, Carnegie Mellon University [Pittsburgh] (CMU), Scientific Affairs, Autism Speaks, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Service de psychopathologie de l'enfant et de l'adolescent, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7), Department of Speech and Hearing Sciences [Washington], University of Washington [Seattle], Disciplines of Genetics and Medicine, Memorial University of Newfoundland [St. John's], John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], 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), University of Gothenburg (GU), The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario], Manchester Academic Health Sciences Centre, Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Human Genetics Center, The University of Texas Health Science Center at Houston (UTHealth), Department of Medicine, Autism Genetic Resource Exchange, Centre for Integrated Genomic Medical Research, Manchester, University of Manchester [Manchester], Institut Universitaire d'Hématologie (IUH), Université Paris Diderot - Paris 7 (UPD7), 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), Nathan Kline Institute for Psychiatric Research (NKI), Nathan Kline Institute for Psychiatric Research, New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU)-NYU Child Study Center, Centre d'Etudes et de Recherches en PsychoPathologie, Université Toulouse - Jean Jaurès (UT2J), Indiana University School of Medicine, Indiana University System-Indiana University System, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Departments of Psychiatry and Neurology, Department of Psychiatry and Behavioral Sciences, Department of Human Genetics, Los Angeles, David Geffen School of Medicine [Los Angeles], University of California-University of California-University of California [Los Angeles] (UCLA), Centre for Addiction and Mental Health, Clarke Institute, University Department of Child Psychiatry, National and Kapodistrian University of Athens (NKUA), Institutes of Neuroscience and Health and Society, Department of Medicine, Manchester, University of Manchester [Manchester]-School of Epidemiology and Health Science, Carolina Institute for Developmental Disabilities, Social, Genetic and Developmental Psychiatry Centre, Washington University in Saint Louis (WUSTL), Howard Hughes Medical-Institute Carver College of Medicine-University of Iowa [Iowa City], Neuropsichiatria Infantile, Ospedale Santa Croce, Child Study Centre, Yale University School of Medicine, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], University of Alberta, Physiopathologie des Maladies du Système Nerveux Central, 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), Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Departments of Biostatistics and Medicine, This research was primarily supported by Autism Speaks (USA), the Health Research Board (HRB, Ireland), The Medical Research Council (MRC, UK), Genome Canada/Ontario Genomics Institute, and the Hilibrand Foundation (USA). Additional support for individual groups was provided by the US National Institutes of Health [HD055751, HD055782, HD055784, HD35465, MH52708, MH55284, MH057881, MH061009, MH06359, MH066673, MH077930, MH080647, MH081754, MH66766, NS026630, NS042165, NS049261], the Canadian Institutes for Health Research (CIHR), Assistance Publique-Hôpitaux de Paris (France), Autistica, Canada Foundation for Innovation/Ontario Innovation Trust, Deutsche Forschungsgemeinschaft (grant: Po 255/17-4) (Germany), EC Sixth FP AUTISM MOLGEN, Fundação Calouste Gulbenkian (Portugal), Fondation de France, Fondation FondaMental (France), Fondation Orange (France), Fondation pour la Recherche Médicale (France), Fundação para a Ciência e Tecnologia (Portugal), GlaxoSmithKline-CIHR Pathfinder Chair (Canada), the Hospital for Sick Children Foundation and University of Toronto (Canada), INSERM (France), Institut Pasteur (France), the Italian Ministry of Health [convention 181 of 19.10.2001], the John P Hussman Foundation (USA), McLaughlin Centre (Canada), Netherlands Organization for Scientific Research [Rubicon 825.06.031], Ontario Ministry of Research and Innovation (Canada), Royal Netherlands Academy of Arts and Sciences [TMF/DA/5801], the Seaver Foundation (USA), the Swedish Science Council, The Centre for Applied Genomics (Canada), the Utah Autism Foundation (USA) and the Wellcome Trust core award [075491/Z/04 UK]. Funding support for the Study of Addiction: Genetics and Environment (SAGE) was provided through the NIH Genes, Environment and Health Initiative [GEI] (U01 HG004422)., University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], University of California (UC)-University of California (UC), The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), University of California (UC)-University of California (UC)-University of California [Los Angeles] (UCLA), University of Iowa [Iowa City]-Howard Hughes Medical-Institute Carver College of Medicine, Yale School of Medicine [New Haven, Connecticut] (YSM), 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), University of Oxford, University of Oxford-Warneford Hospital, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), Université de Toulouse (UT)-Université de Toulouse (UT), University of Pennsylvania, Betancur, Catalina, Anney R, Klei L, Pinto D, Regan R, Conroy J, Magalhaes TR, Correia C, Abrahams BS, Sykes N, Pagnamenta AT, Almeida J, Bacchelli E, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Carson AR, Casallo G, Casey J, Chu SH, Cochrane L, Corsello C, Crawford EL, Crossett A, Dawson G, de Jonge M, Delorme R, Drmic I, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Fombonne E, Freitag CM, Gilbert J, Gillberg C, Glessner JT, Goldberg J, Green J, Guter SJ, Hakonarson H, Heron EA, Hill M, Holt R, Howe JL, Hughes G, Hus V, Igliozzi R, Kim C, Klauck SM, Kolevzon A, Korvatska O, Kustanovich V, Lajonchere CM, Lamb JA, Laskawiec M, Leboyer M, Le Couteur A, Leventhal BL, Lionel AC, Liu XQ, Lord C, Lotspeich L, Lund SC, Maestrini E, Mahoney W, Mantoulan C, Marshall CR, McConachie H, McDougle CJ, McGrath J, McMahon WM, Melhem NM, Merikangas A, Migita O, Minshew NJ, Mirza GK, Munson J, Nelson SF, Noakes C, Noor A, Nygren G, Oliveira G, Papanikolaou K, Parr JR, Parrini B, Paton T, Pickles A, Piven J, Posey DJ, Poustka A, Poustka F, Prasad A, Ragoussis J, Renshaw K, Rickaby J, Roberts W, Roeder K, Roge B, Rutter ML, Bierut LJ, Rice JP, Salt J, Sansom K, Sato D, Segurado R, Senman L, Shah N, Sheffield VC, Soorya L, Sousa I, Stoppioni V, Strawbridge C, Tancredi R, Tansey K, Thiruvahindrapduram B, Thompson AP, Thomson S, Tryfon A, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Wallace S, Wang K, Wang Z, Wassink TH, Wing K, Wittemeyer K, Wood S, Yaspan BL, Zurawiecki D, Zwaigenbaum L, Betancur C, Buxbaum JD, Cantor RM, Cook EH, Coon H, Cuccaro ML, Gallagher L, Geschwind DH, Gill M, Haines JL, Miller J, Monaco AP, Nurnberger JI Jr, Paterson AD, Pericak-Vance MA, Schellenberg GD, Scherer SW, Sutcliffe JS, Szatmari P, Vicente AM, Vieland VJ, Wijsman EM, Devlin B, Ennis S, and Hallmayer J.
Subjects: Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, MESH: Genotype, 0302 clinical medicine, Risk Factors, MESH: Risk Factors, Databases, Genetic, Copy-number variation, MESH: Genetic Variation, Genetics (clinical), MESH: Databases, Genetic, Genetics, 0303 health sciences, education.field_of_study, MESH: Polymorphism, Single Nucleotide, Association Studies Articles, MESH: Genetic Predisposition to Disease, General Medicine, MESH: European Continental Ancestry Group, Autism spectrum disorders, MESH: DNA Copy Number Variations, Genotyping, DNA Copy Number Variations, Genotype, Population, MESH: Autistic Disorder, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, Genetic variation, Humans, Genetic Predisposition to Disease, ddc:610, Allele, Autistic Disorder, SNP association, education, Molecular Biology, Alleles, MESH: Genome, Human, 030304 developmental biology, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, Genome, Human, MESH: Alleles, Haplotype, Genetic Variation, Genetic architecture, Perturbações do Desenvolvimento Infantil e Saúde Mental, MESH: Genome-Wide Association Study, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 × 10−8. When a smaller replication sample was analyzed, the risk allele at rs4141463 was again over-transmitted; yet, consistent with the winner's curse, its effect size in the replication sample was much smaller; and, for the combined samples, the association signal barely fell below the P < 5 × 10−8 threshold. Exploratory analyses of phenotypic subtypes yielded no significant associations after correction for multiple testing. They did, however, yield strong signals within several genes, KIAA0564, PLD5, POU6F2, ST8SIA2 and TAF1C. Author has checked copyright TS 14.06.13 The subscript characters from the abstract have not copied across properly. TS
Published: 2010

11. A genome-wide linkage and association scan reveals novel loci for autism

Author: Zak Kohane, Jeremy Goldberg, Carine Mantoulan, Shaun Purcell, Jessica Brian, Magdalena Laskawiec, Christopher A. Walsh, Irma Moilanen, Ridha Joober, Peter Szatmari, Olena Korvatska, Kerim Munir, James F. Gusella, Rudolph E. Tanzi, David L. Pauls, Generoso G. Gascon, Christine Stevens, Linda Lotspeich, John I. Nurnberger, Ramzi Nazir, Jonathan Green, Brian L. Yaspan, Marion Leboyer, Ann P. Thompson, Shun-Chiao Chang, Carolyn Bridgemohan, Louise Gallagher, Jeff Munson, Michael Gill, Guiqing Cai, Fritz Poustka, Regina Regan, Aislyn Cangialose, Gerard D. Schellenberg, Christopher J. McDougle, Christina Corsello, Wendy Roberts, Thomas H. Wassink, Majid Ghadami, Ellen M. Hanson, Benjamin M. Neale, Stacey Gabriel, Lonnie Zwaigenbaum, John Tsiantis, Hanna Ebeling, Sabine M. Klauck, Elaine LeClair, Bernie Devlin, Steven A. McCarroll, Ashley O'Connor, Andrew Pickles, Emily L. Crawford, Katja Jussila, Helen McConachie, Christopher Gillberg, Brenda E. Barry, Lou Kunkel, Seung Yun Yoo, Jennifer N. Partlow, Stephanie Brewster O'Neil, Ingrid A. Holm, Judith Miller, Guy A. Rouleau, Val C. Sheffield, Catherine Lord, Judith S. Palfrey, Ellen M. Wijsman, Astrid M. Vicente, Azam Hosseinipour, Ronald E. Becker, James S. Sutcliffe, Fred R. Volkmar, Marja Leena Mattila, Katerina Papanikolaou, Jennifer Reichert, Edwin H. Cook, Pamela Sklar, Elena Maestrini, Hilary Coon, Sek Won Kong, Stephen A. Haddad, Todd Green, Gillian Baird, Andrew Kirby, Patrick Bolton, Robert Sean Hill, Eric M. Morrow, Tom Berney, Jonathan L. Haines, Maryam Valujerdi, Casey Gates, David J. Posey, Karola Rehnström, Alistair T. Pagnamenta, Christine M. Freitag, Eric Fombonne, Janice Ware, Christian R. Marshall, Janine A. Lamb, Lauren A. Weiss, Agatino Battaglia, Nancy J. Minshew, Roksana Sasanfar, Elizabeth Baroni, Maretha de Jonge, Lennart von Wendt, Gina Hilton, Dalila Pinto, Nahit Motavalli Mukaddes, Ala Tolouei, Catalina Betancur, Michael Rutter, Tram Tran, Eftichia Duketis, Laurent Mottron, Margaret A. Pericak-Vance, Kristen West, Joachim Hallmayer, Kirsty Wing, Kerstin Wittemeyer, Rachel J. Hundley, Herman van Engeland, Judith Conroy, Mark J. Daly, Asif Hashmi, Michael L. Cuccaro, Geraldine Dawson, Sanna Kuusikko, Richard Anney, Anthony P. Monaco, Brian Winkloski, Samira Al-Saad, Dan E. Arking, Veronica J. Vieland, Stephen W. Scherer, Soher Balkhy, Kara Andresen, Rebecca L. Tomlinson, Joseph D. Buxbaum, Aravinda Chakravarti, Xiao-Qing Liu, Lindsay Jackson, Jaakko Ignatius, Catarina Correia, Leonard Rappaport, Heather Peters, Julie Gauthier, John R. Gilbert, Jeremy R. Parr, Carrie Sougnez, Katherine E. Tansey, Bennett L. Leventha, Annemarie Poustka, Daniel H. Geschwind, Annette Estes, Leena Peltonen, Maryam Rostami, Jeff Salt, David Altshuler, Simon Wallace, Susan E. Bryson, William M. Mahoney, Katy Renshaw, Robert M. Joseph, Lisa H. Albers, Inês Cabrito, Sean Ennis, Vanessa Hus, Guiomar Oliveira, Ann Le Couteur, Joseph Piven, Sandra L. Friedman, Penny Farrar, Joshua M. Korn, Sven Bölte, Camille W. Brune, Esau Simmons, Susan L. Santangelo, Andrew D. Paterson, Rita M. Cantor, Andrew B. West, Finny G Kuruvilla, Tiago R. Magalhaes, Andrew Green, Alison Schonwald, Stephen J. Guter, Anthony J. Bailey, Bernadette Rogé, William M. McMahon, 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], Johns Hopkins University (JHU), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, 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), 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), Betancur, Catalina, University of Helsinki, 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), WEISS LA, ARKING DE, and GENE DISCOVERY PROJECT OF JOHNS HOPKINS & THE AUTISM CONSORTIUM, DALY MJ, CHAKRAVARTI A, BRUNE CW, WEST K, O'CONNOR A, HILTON G, TOMLINSON RL, WEST AB, COOK EH JR, CHAKRAVARTI A, WEISS LA, GREEN T, CHANG SC, GABRIEL S, GATES C, HANSON EM, KIRBY A, KORN J, KURUVILLA F, MCCARROLL S, MORROW EM, NEALE B, PURCELL S, SASANFAR R, SOUGNEZ C, STEVENS C, ALTSHULER D, GUSELLA J, SANTANGELO SL, SKLAR P, TANZI R, DALY MJ, ANNEY R, BAILEY AJ, BAIRD G, BATTAGLIA A, BERNEY T, BETANCUR C, BÖLTE S, BOLTON PF, BRIAN J, BRYSON SE, BUXBAUM JD, CABRITO I, CAI G, CANTOR RM, COOK EH JR, COON H, CONROY J, CORREIA C, CORSELLO C, CRAWFORD EL, CUCCARO ML, DAWSON G, DE JONGE M, DEVLIN B, DUKETIS E, ENNIS S, ESTES A, FARRAR P, FOMBONNE E, FREITAG CM, GALLAGHER L, GESCHWIND DH, GILBERT J, GILL M, GILLBERG C, GOLDBERG J, GREEN A, GREEN J, GUTER SJ, HAINES JL, HALLMAYER JF, HUS V, KLAUCK SM, KORVATSKA O, LAMB JA, LASKAWIEC M, LEBOYER M, COUTEUR AL, LEVENTHAL BL, LIU XQ, LORD C, LOTSPEICH LJ, MAESTRINI E, MAGALHAES T, MAHONEY W, MANTOULAN C, MCCONACHIE H, MCDOUGLE CJ, MCMAHON WM, MARSHALL CR, MILLER J, MINSHEW NJ, MONACO AP, MUNSON J, NURNBERGER JI JR, OLIVEIRA G, PAGNAMENTA A, PAPANIKOLAOU K, PARR JR, PATERSON AD, PERICAK-VANCE MA, PICKLES A, PINTO D, PIVEN J, POSEY DJ, POUSTKA A, POUSTKA F, REGAN R, REICHERT J, RENSHAW K, ROBERTS W, ROGE B, RUTTER ML, SALT J, SCHELLENBERG GD, SCHERER SW, SHEFFIELD V, SUTCLIFFE JS, SZATMARI P, TANSEY K, THOMPSON AP, TSIANTIS J, VAN ENGELAND H, VICENTE AM, VIELAND VJ, VOLKMAR F, WALLACE S, WASSINK TH, WIJSMAN EM, WING K, WITTEMEYER K, YASPAN BL, ZWAIGENBAUM L, MORROW EM, YOO SY, HILL RS, MUKADDES NM, BALKHY S, GASCON G, AL-SAAD S, HASHMI A, WARE J, JOSEPH RM, LECLAIR E, PARTLOW JN, BARRY B, WALSH CA, PAULS D, MOILANEN I, EBELING H, MATTILA ML, KUUSIKKO S, JUSSILA K, IGNATIUS J, SASANFAR R, TOLOUEI A, GHADAMI M, ROSTAMI M, HOSSEINIPOUR A, VALUJERDI M, SANTANGELO SL, ANDRESEN K, WINKLOSKI B, HADDAD S, KUNKEL L, KOHANE Z, TRAN T, KONG SW, O'NEIL SB, HANSON EM, HUNDLEY R, HOLM I, PETERS H, BARONI E, CANGIALOSE A, JACKSON L, ALBERS L, BECKER R, BRIDGEMOHAN C, FRIEDMAN S, MUNIR K, NAZIR R, PALFREY J, SCHONWALD A, SIMMONS E, RAPPAPORT LA, GAUTHIER J, MOTTRON L, JOOBER R, FOMBONNE E, ROULEAU G, REHNSTROM K, VON WENDT L, PELTONEN L.
Subjects: Perturbação Autística, Internationality, Genetic Linkage, Genome-wide association study, MESH: Semaphorins, Semaphorins, [SDV.GEN] Life Sciences [q-bio]/Genetics, 0302 clinical medicine, Neurodevelopmental disorder, Heritability of autism, MESH: Nerve Tissue Proteins, Association mapping, Genetics, 0303 health sciences, Multidisciplinary, MESH: Polymorphism, Single Nucleotide, MESH: Genetic Predisposition to Disease, Brain, Chromosome Mapping, Chromosomes, Human, Pair 5, MESH: Membrane Proteins, MESH: Chromosomes, Human, Pair 5, MESH: Autistic Disorder, MESH: Genetic Linkage, Single-nucleotide polymorphism, Nerve Tissue Proteins, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, MESH: Brain, Genetic linkage, medicine, Humans, Genetic Predisposition to Disease, Autistic Disorder, MESH: Sample Size, 030304 developmental biology, Genetic association, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, Membrane Proteins, medicine.disease, Sample Size, Perturbações do Desenvolvimento Infantil e Saúde Mental, MESH: Genome-Wide Association Study, MESH: Internationality, Autism, MESH: Chromosome Mapping, Predisposição Genética para Doença, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Member of the Autism Genome Project Consortium: Astrid M. Vicente Although autism is a highly heritable neurodevelopmental disorder, attempts to identify specific susceptibility genes have thus far met with limited success. Genome-wide association studies using half a million or more markers, particularly those with very large sample sizes achieved through meta-analysis, have shown great success in mapping genes for other complex genetic traits. Consequently, we initiated a linkage and association mapping study using half a million genome-wide single nucleotide polymorphisms (SNPs) in a common set of 1,031 multiplex autism families (1,553 affected offspring). We identified regions of suggestive and significant linkage on chromosomes 6q27 and 20p13, respectively. Initial analysis did not yield genome-wide significant associations; however, genotyping of top hits in additional families revealed an SNP on chromosome 5p15 (between SEMA5A and TAS2R1) that was significantly associated with autism (P = 2 x 10(-7)). We also demonstrated that expression of SEMA5A is reduced in brains from autistic patients, further implicating SEMA5A as an autism susceptibility gene. The linkage regions reported here provide targets for rare variation screening whereas the discovery of a single novel association demonstrates the action of common variants.
Published: 2009

12. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Author: Peter, Szatmari, Andrew D, Paterson, Lonnie, Zwaigenbaum, Wendy, Roberts, Jessica, Brian, Xiao-Qing, Liu, John B, Vincent, Jennifer L, Skaug, Ann P, Thompson, Lili, Senman, Lars, Feuk, Cheng, Qian, Susan E, Bryson, Marshall B, Jones, Christian R, Marshall, Stephen W, Scherer, Veronica J, Vieland, Christopher, Bartlett, La Vonne, Mangin, Rhinda, Goedken, Alberto, Segre, Margaret A, Pericak-Vance, Michael L, Cuccaro, John R, Gilbert, Harry H, Wright, Ruth K, Abramson, Catalina, Betancur, Thomas, Bourgeron, Christopher, Gillberg, Marion, Leboyer, Joseph D, Buxbaum, Kenneth L, Davis, Eric, Hollander, Jeremy M, Silverman, Joachim, Hallmayer, Linda, Lotspeich, James S, Sutcliffe, Jonathan L, Haines, Susan E, Folstein, Joseph, Piven, Thomas H, Wassink, Val, Sheffield, Daniel H, Geschwind, Maja, Bucan, W Ted, Brown, Rita M, Cantor, John N, Constantino, T Conrad, Gilliam, Martha, Herbert, Clara, Lajonchere, David H, Ledbetter, Christa, Lese-Martin, Janet, Miller, Stan, Nelson, Carol A, Samango-Sprouse, Sarah, Spence, Matthew, State, Rudolph E, Tanzi, Hilary, Coon, Geraldine, Dawson, Bernie, Devlin, Annette, Estes, Pamela, Flodman, Lambertus, Klei, William M, McMahon, Nancy, Minshew, Jeff, Munson, Elena, Korvatska, Patricia M, Rodier, Gerard D, Schellenberg, Moyra, Smith, M Anne, Spence, Chris, Stodgell, Ping Guo, Tepper, Ellen M, Wijsman, Chang-En, Yu, Bernadette, Rogé, Carine, Mantoulan, Kerstin, Wittemeyer, Annemarie, Poustka, Bärbel, Felder, Sabine M, Klauck, Claudia, Schuster, Fritz, Poustka, Sven, Bölte, Sabine, Feineis-Matthews, Evelyn, Herbrecht, Gabi, Schmötzer, John, Tsiantis, Katerina, Papanikolaou, Elena, Maestrini, Elena, Bacchelli, Francesca, Blasi, Simona, Carone, Claudio, Toma, Herman, Van Engeland, Maretha, de Jonge, Chantal, Kemner, Frederieke, Koop, Frederike, Koop, Marjolein, Langemeijer, Marjolijn, Langemeijer, Channa, Hijmans, Channa, Hijimans, Wouter G, Staal, Gillian, Baird, Patrick F, Bolton, Michael L, Rutter, Emma, Weisblatt, Jonathan, Green, Catherine, Aldred, Julie-Anne, Wilkinson, Andrew, Pickles, Ann, Le Couteur, Tom, Berney, Helen, McConachie, Anthony J, Bailey, Kostas, Francis, Gemma, Honeyman, Aislinn, Hutchinson, Jeremy R, Parr, Simon, Wallace, Anthony P, Monaco, Gabrielle, Barnby, Kazuhiro, Kobayashi, Janine A, Lamb, Ines, Sousa, Nuala, Sykes, Edwin H, Cook, Stephen J, Guter, Bennett L, Leventhal, Jeff, Salt, Catherine, Lord, Christina, Corsello, Vanessa, Hus, Daniel E, Weeks, Fred, Volkmar, Maïté, Tauber, Eric, Fombonne, Andy, Shih, Kacie J, Meyer, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, The Centre for Applied Genomics, Toronto, University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Department of Pediatrics, University of Alberta, Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Department of Psychiatry, University of Toronto, Departments of Pediatrics and Psychology, Dalhousie University [Halifax], Department of Neural and Behavioral Sciences, Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Molecular Genetics [Toronto], Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Department of Pathology and Laboratory Medicine, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Computer Science, University of Iowa [Iowa City], John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], W.S. Hall Psychiatric Institute, University of South Carolina [Columbia], 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), Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Gillberg Neuropsychiatry Centre [Göteborg, Sueden], Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU), Institute of Child Health, University College of London [London] (UCL), 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), Friedman Brain Institute, Mount Sinai, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Neuroscience, PennState Meteorology Department, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Department of Psychiatry and Behavioral Sciences [Stanford], Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Johns Hopkins University (JHU), Carolina Institute for Developmental Disabilities, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], University of Iowa [Iowa City]-Howard Hughes Medical-Institute Carver College of Medicine, Department of Neurology, UCLA School of Medicine, Department of Genetics, University of Pennsylvania [Philadelphia]-School of Medicine, N.Y.S. Institute for Basic Research in Developmental Disabilities, Department of Human Genetics, UCLA, University of California [Los Angeles] (UCLA), University of California-University of California-Semel Institute, Washington University in Saint Louis (WUSTL), University of Chicago, Harvard Medical School [Boston] (HMS), Autism Genetic Resource Exchange, Autism Speaks, Emory University [Atlanta, GA], Developmental Brain and Behaviour Unit, University of Southampton, Cure Autism Now, Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Children's National Medical Center, The George Washington University (GW), Massachusetts General Hospital, Massachusetts General Hospital [Boston], Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Autism Speaks and the Department of Psychiatry, Department of Speech and Hearing Sciences [Washington], University of Washington [Seattle], University of California [Irvine] (UCI), University of California-University of California, Department of Psychiatry and Behavioral Sciences, Department of OB/GYN, University of Rochester Medical Center, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Department of Epidemiology, University of Pittsburgh (PITT), Departments of Biostatistics and Medicine, Department of Medicine, Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Centre de Référence du Syndrome de Prader-Willi, CHU Toulouse [Toulouse], University of Oxford [Oxford]-Warneford Hospital, Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, University Department of Child Psychiatry, National and Kapodistrian University of Athens (NKUA), Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Medical Genetics Laboratory, Policlinico S. Orsola-Malpighi, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Department of Neurocognition, Maastricht University [Maastricht], Newcomen Centre, Guy's Hospital [London], Department of Child and Adolescent Psychiatry, Institute of psychiatry, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), The Institute of Psychiatry-King‘s College London, University of Cambridge Clinical School, University of Cambridge [UK] (CAM), Manchester Academic Health Sciences Centre, Department of Medicine, Manchester, University of Manchester [Manchester]-School of Epidemiology and Health Science, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), Child and Adolescent Mental Health, Newcastle University [Newcastle], Institutes of Neuroscience and Health and Society, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Centre for Integrated Genomic Medical Research, Manchester, University of Manchester [Manchester], Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Institute for Juvenile Research, University of Illinois [Chicago] (UIC), Department of Disability and Human Development, New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), Autism and Communicative Disorders Centre, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Human Genetics Department, SFU Discrete Mathematics Group (SFU-DMG), Simon Fraser University (SFU.ca), Child Study Centre, Yale University School of Medicine, Centre d'Endocrinologie, Maladies Osseuses, Génétique et Gynécologie Médicale, Hôpital des Enfants, CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], 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), Scientific Affairs, Autism Genome Project Consortium, RS: FPN CN II, Cognitive Neuroscience, MUMC+: HZC Klinische Neurofysiologie (5), The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, University of California (UC)-University of California (UC)-Semel Institute, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), King‘s College London-The Institute of Psychiatry, Yale School of Medicine [New Haven, Connecticut] (YSM), Betancur, Catalina, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-School of Medicine, University of Pennsylvania, Pôle Enfants [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), University of Oxford-Warneford Hospital, University of Oxford, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université de Toulouse (UT)-Université de Toulouse (UT), Szatmari P, Paterson AD, Zwaigenbaum L, Roberts W, Brian J, Liu XQ, Vincent JB, Skaug JL, Thompson AP, Senman L, Feuk L, Qian C, Bryson SE, Jones MB, Marshall CR, Scherer SW, Vieland VJ, Bartlett C, Mangin LV, Goedken R, Segre A, Pericak-Vance MA, Cuccaro ML, Gilbert JR, Wright HH, Abramson RK, Betancur C, Bourgeron T, Gillberg C, Leboyer M, Buxbaum JD, Davis KL, Hollander E, Silverman JM, Hallmayer J, Lotspeich L, Sutcliffe JS, Haines JL, Folstein SE, Piven J, Wassink TH, Sheffield V, Geschwind DH, Bucan M, Brown WT, Cantor RM, Constantino JN, Gilliam TC, Herbert M, Lajonchere C, Ledbetter DH, Lese-Martin C, Miller J, Nelson S, Samango-Sprouse CA, Spence S, State M, Tanzi RE, Coon H, Dawson G, Devlin B, Estes A, Flodman P, Klei L, McMahon WM, Minshew N, Munson J, Korvatska E, Rodier PM, Schellenberg GD, Smith M, Spence MA, Stodgell C, Tepper PG, Wijsman EM, Yu CE, Roge B, Mantoulan C, Wittemeyer K, Poustka A, Felder B, Klauck SM, Schuster C, Poustka F, Bolte S, Feineis-Matthews S, Herbrecht E, Schmotzer G, Tsiantis J, Papanikolaou K, Maestrini E, Bacchelli E, Blasi F, Carone S, Toma C, Van Engeland H, de Jonge M, Kemner C, Koop F, Langemeijer M, Hijimans C, Staal WG, Baird G, Bolton PF, Rutter ML, Weisblatt E, Green J, Aldred C, Wilkinson JA, Pickles A, Le Couteur A, Berney T, McConachie H, Bailey AJ, Francis K, Honeyman G, Hutchinson A, Parr JR, Wallace S, Monaco AP, Barnby G, Kobayashi K, Lamb JA, Sousa I, Sykes N, Cook EH, Guter SJ, Leventhal BL, Salt J, Lord C, Corsello C, Hus V, Weeks DE, Volkmar F, Tauber M, Fombonne E, and Shih A.
Subjects: Male, genetic structures, Genetic Linkage, Neurexin, [SDV.GEN] Life Sciences [q-bio]/Genetics, 0302 clinical medicine, Risk Factors, MESH: Risk Factors, Heritability of autism, Copy-number variation, MESH: Genetic Variation, Genetics, 0303 health sciences, medicine.diagnostic_test, MESH: Genetic Testing, MESH: Genetic Predisposition to Disease, Chromosome Mapping, 3. Good health, Female, MESH: Genetic Linkage, MESH: Autistic Disorder, Epigenetics of autism, Biology, Article, 03 medical and health sciences, Genetic linkage, mental disorders, medicine, Humans, MESH: Chromosome Aberrations, Family, Genetic Predisposition to Disease, Genetic Testing, Autistic Disorder, MESH: Family, 030304 developmental biology, Genetic testing, Chromosome Aberrations, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, Genetic Variation, medicine.disease, Genetic architecture, MESH: Male, MESH: Lod Score, Autism, Lod Score, MESH: Chromosome Mapping, MESH: Female, 030217 neurology & neurosurgery
Abstract: International audience; Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,181 [corrected] families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs.
Published: 2007

13. A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder

Author: Veronica J. Vieland, Stephen W. Scherer, Alison K. Merikangas, Naisha Shah, Edwin H. Cook, William M. McMahon, Kirsty Wing, Sabata C. Lund, Jacob A. S. Vorstman, Judith Conroy, Sabine M. Klauck, John B. Vincent, Astrid M. Vicente, Carine Mantoulan, Barbara Parrini, Jeremy R. Parr, Herman van Engeland, Jane McGrath, Guiomar Oliveira, Jonathan Green, James S. Sutcliffe, Peter Szatmari, Ann Le Couteur, Katerina Papanikolaou, Joseph Piven, Andrew Pickles, Gillian Baird, Inês Sousa, Gerard D. Schellenberg, Catarina Correia, Bennett L. Leventhal, Helen McConachie, Joseph T. Glessner, Fritz Poustka, Alistair T. Pagnamenta, Marion Leboyer, Nuala Sykes, Elena Maestrini, Penny Farrar, Maïté Tauber, Suzanne Foley, Richard Holt, Lonnie Zwaigenbaum, David J. Posey, John Tsiantis, Alexander Kolevzon, Agatino Battaglia, Maretha de Jonge, Hilary Coon, Gillian Hughes, John R. Gilbert, Patrick Bolton, Louise Gallagher, Jeff Munson, Kathy White, Michael L. Cuccaro, Annemarie Poustka, Daniel H. Geschwind, Richard Delorme, Annette Estes, Christine M. Freitag, Jillian P. Casey, Joana Almeida, Dalila Pinto, Simon Wallace, Sean Brennan, Stephen J. Guter, Stanley F. Nelson, Michael Rutter, Ghazala Mirza, Anthony J. Bailey, Christina Corsello, Kerstin Wittemeyer, Christian R. Marshall, Janine A. Lamb, Catherine Lord, Hakon Hakonarson, Jiannis Ragoussis, Catalina Betancur, Geraldine Dawson, Eftichia Duketis, Sean Ennis, Fiorella Minopoli, Christopher Gillberg, Vera Stoppioni, Bridget A. Fernandez, Frederico Duque, Eric Fombonne, Ellen M. Wijsman, Bernadette Rogé, Vanessa Hus, Susan E. Folstein, Jonathan L. Haines, Denis C. Shields, Tiago R. Magalhaes, Andrew Green, Thomas Bourgeron, Brian L. Yaspan, Ann P. Thompson, Gudrun Nygren, Judith Miller, Susanne Thomson, Roberta Igliozzi, Ana Filipa Sequeira, Kai Wang, Brett S. Abrahams, John I. Nurnberger, Michael Gill, Thomas H. Wassink, Christopher J. McDougle, Marc N. Coutanche, Anthony P. Monaco, Nadia Bolshakova, Cecilia Kim, Raffaella Tancredi, Rita M. Cantor, Phil Cali, Fred R. Volkmar, Tom Berney, Margaret A. Pericak-Vance, Joachim Hallmayer, Joseph D. Buxbaum, Elena Bacchelli, Latha Soorya, Richard Anney, Regina Regan, University of Bologna, Open University of Israël, IRCCS Fondazione Stella Maris [Pisa], Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris], AP-HP Hôpital universitaire Robert-Debré [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Goethe-University Frankfurt am Main, Memorial University of Newfoundland [St. John's], McGill University = Université McGill [Montréal, Canada], Johns Hopkins University (JHU), Autism Research Centre and Section of Developmental Psychiatry, University of Cambridge [UK] (CAM), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Psychiatrie génétique, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Mondor de Recherche Biomédicale, The Hospital for sick children [Toronto] (SickKids), University of Toronto, Australian Resources Research Centre, Kensington, Sécurité et Qualité des Produits d'Origine Végétale (SQPOV), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital des Enfants, CHU Toulouse [Toulouse], School of Chemistry, Dalhousie University [Halifax], DLR Institut für Planetenforschung, Deutsches Zentrum für Luft- und Raumfahrt [Berlin] (DLR), Department of Human Genetics, University of Chicago, University of Alberta, Génétique de l'autisme = Genetics of Autism (NPS-01), 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), 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)-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), 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)-Centre National de la Recherche Scientifique (CNRS), Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Institut Charles Gerhardt Montpellier - Institut de Chimie Moléculaire et des Matériaux de Montpellier (ICGM ICMMM), Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut de Chimie du CNRS (INC), University of Koblenz-Landau, McMaster University [Hamilton, Ontario], The authors acknowledge the families participating in the study and the main funders of the Autism Genome Project Consortium (AGP): Autism Speaks (USA), the Health Research Board (HRB, Ireland), The Medical Research Council (MRC, UK), Genome Canada/Ontario Genomics Institute, and the Hilibrand Foundation (USA). Additional support for individual groups was provided by the US National Institutes of Health (NIH grants HD055751, HD055782, HD055784, HD35465, MH52708, MH55284, MH57881, MH061009, MH06359, MH066673, MH080647, MH081754, MH66766, NS026630, NS042165, NS049261), the Canadian Institute for Advanced Research (CIFAR), the Canadian Institutes for Health Research (CIHR), Assistance Publique–Hôpitaux de Paris (France), Autistica, Canada Foundation for Innovation/Ontario Innovation Trust, Deutsche Forschungsgemeinschaft (grant Po 255/17-4) (Germany), EC Sixth FP AUTISM MOLGEN, Fundação Calouste Gulbenkian (Portugal), Fondation de France, Fondation FondaMental (France), Fondation Orange (France), Fondation pour la Recherche Médicale (France), Fundação para a Ciência e Tecnologia (Portugal), the Hospital for Sick Children Foundation and University of Toronto (Canada), INSERM (France), Institut Pasteur (France), the Italian Ministry of Health (convention 181 of 19.10.2001), the John P. Hussman Foundation (USA), McLaughlin Centre (Canada), Ontario Ministry of Research and Innovation (Canada), the Seaver Foundation (USA), the Swedish Science Council, The Centre for Applied Genomics (Canada), the Utah Autism Foundation (USA) and the Wellcome Trust core award 075491/Z/04 (UK). We acknowledge support from the Autism Genetic Resource Exchange (AGRE) and Autism Speaks. We gratefully acknowledge the resources provided by the AGRE consortium and the participating AGRE families. AGRE is a program of Autism Speaks and is supported, in part, by grant 1U24MH081810 from the National Institute of Mental Health to Clara M. Lajonchere (PI). We wish to acknowledge the National Children’s Research Centre Our Lady’s Children’s Hospital Crumlin Ireland for providing additional support and the Wellcome Trust Case–Control Consortium for providing data sets that were used as part of this study. J.P.C is supported by an EMBARK postgraduate award from the Irish Research Council for Science, Engineering and Technology (IRCSET)., The AGRE Consortium, Casey JP, Magalhaes T, Conroy JM, Regan R, Shah N, Anney R, Shields DC, Abrahams BS, Almeida J, Bacchelli E, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bolton PF, Bourgeron T, Brennan S, Cali P, Correia C, Corsello C, Coutanche M, Dawson G, de Jonge M, Delorme R, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Foley S, Fombonne E, Freitag CM, Gilbert J, Gillberg C, Glessner JT, Green J, Guter SJ, Hakonarson H, Holt R, Hughes G, Hus V, Igliozzi R, Kim C, Klauck SM, Kolevzon A, Lamb JA, Leboyer M, Le Couteur A, Leventhal BL, Lord C, Lund SC, Maestrini E, Mantoulan C, Marshall CR, McConachie H, McDougle CJ, McGrath J, McMahon WM, Merikangas A, Miller J, Minopoli F, Mirza GK, Munson J, Nelson SF, Nygren G, Oliveira G, Pagnamenta AT, Papanikolaou K, Parr JR, Parrini B, Pickles A, Pinto D, Piven J, Posey DJ, Poustka A, Poustka F, Ragoussis J, Roge B, Rutter ML, Sequeira AF, Soorya L, Sousa I, Sykes N, Stoppioni V, Tancredi R, Tauber M, Thompson AP, Thomson S, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Vorstman JA, Wallace S, Wang K, Wassink TH, White K, Wing K, Wittemeyer K, Yaspan BL, Zwaigenbaum L, Betancur C, Buxbaum JD, Cantor RM, Cook EH, Coon H, Cuccaro ML, Geschwind DH, Haines JL, Hallmayer J, Monaco AP, Nurnberger JI Jr, Pericak-Vance MA, Schellenberg GD, Scherer SW, Sutcliffe JS, Szatmari P, Vieland VJ, Wijsman EM, Green A, Gill M, Gallagher L, Vicente A, Ennis S., McGill University, Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Neuroscience Paris Seine (NPS), Centre National de la Recherche Scientifique (CNRS)-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)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), University of Bologna/Università di Bologna, Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris] (IP), Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), 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)-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), Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], 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), and 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)
Subjects: Male, Candidate gene, Genome-wide association study, Linkage Disequilibrium, MESH: Child Development Disorders, Pervasive, Cohort Studies, MESH: Genotype, 0302 clinical medicine, MESH: Child, Cluster Analysis, Genetics(clinical), Copy-number variation, Child, MESH: Cohort Studies, Genetics (clinical), Original Investigation, SNPS, Genetics, 0303 health sciences, education.field_of_study, MESH: Middle Aged, MESH: Nuclear Family, MESH: Polymorphism, Single Nucleotide, Homozygote, MESH: Genetic Predisposition to Disease, Middle Aged, Autism spectrum disorder (ASD), 3. Good health, MESH: Linkage Disequilibrium, Female, MESH: DNA Copy Number Variations, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], MESH: Homozygote, Adult, DNA Copy Number Variations, Genotype, Population, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Nuclear Family, 03 medical and health sciences, HOMOZYGOSITY MAPPING, mental disorders, medicine, Humans, Genetic Predisposition to Disease, ddc:610, AUTISM, GENOME-WIDE ASSOCIATION, education, 030304 developmental biology, MESH: Humans, Genetic heterogeneity, Haplotype, MESH: Adult, MESH: Haplotypes, medicine.disease, MESH: Cluster Analysis, MESH: Male, Haplotypes, Child Development Disorders, Pervasive, Perturbações do Desenvolvimento Infantil e Saúde Mental, MESH: Genome-Wide Association Study, Autism, MESH: Female, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (~90%) remains poorly explained by common genetic risk variants. However, recent studies suggest that rare genomic variation, in particular copy number variation, may account for a significant proportion of the genetic basis of ASD. We present a large scale analysis to identify candidate genes which may contain low-frequency recessive variation contributing to ASD while taking into account the potential contribution of population differences to the genetic heterogeneity of ASD. Our strategy, homozygous haplotype (HH) mapping, aims to detect homozygous segments of identical haplotype structure that are shared at a higher frequency amongst ASD patients compared to parental controls. The analysis was performed on 1,402 Autism Genome Project trios genotyped for 1 million single nucleotide polymorphisms (SNPs). We identified 25 known and 1,218 novel ASD candidate genes in the discovery analysis including CADM2, ABHD14A, CHRFAM7A, GRIK2, GRM3, EPHA3, FGF10, KCND2, PDZK1, IMMP2L and FOXP2. Furthermore, 10 of the previously reported ASD genes and 300 of the novel candidates identified in the discovery analysis were replicated in an independent sample of 1,182 trios. Our results demonstrate that regions of HH are significantly enriched for previously reported ASD candidate genes and the observed association is independent of gene size (odds ratio 2.10). Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data. Electronic supplementary material The online version of this article (doi:10.1007/s00439-011-1094-6) contains supplementary material, which is available to authorized users.
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14. The effect of ascertainment on penetrance estimates for rare variants: Implications for establishing pathogenicity and for genetic counselling.

Author: Paterson AD, Seok SC, and Vieland VJ
Subjects: Penetrance, Virulence, Lod Score, Genetic Counseling, High-Throughput Nucleotide Sequencing
Abstract: Next-generation sequencing has led to an explosion of genetic findings for many rare diseases. However, most of the variants identified are very rare and were also identified in small pedigrees, which creates challenges in terms of penetrance estimation and translation into genetic counselling in the setting of cascade testing. We use simulations to show that for a rare (dominant) disorder where a variant is identified in a small number of small pedigrees, the penetrance estimate can both have large uncertainty and be drastically inflated, due to underlying ascertainment bias. We have developed PenEst, an app that allows users to investigate the phenomenon across ranges of parameter settings. We also illustrate robust ascertainment corrections via the LOD (logarithm of the odds) score, and recommend a LOD-based approach to assessing pathogenicity of rare variants in the presence of reduced penetrance., Competing Interests: Salary support to VJV and SCS came via a subcontract to Mathematical Medicine from the NIH grant (NS085238). This does not alter our adherence to PLOS ONE policies on sharing data and materials. There are no patents, products in development or marketed products associated with this research to declare., (Copyright: © 2023 Paterson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2023
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15. A genome-wide association analysis of loss of ambulation in dystrophinopathy patients suggests multiple candidate modifiers of disease severity.

Author: Flanigan KM, Waldrop MA, Martin PT, Alles R, Dunn DM, Alfano LN, Simmons TR, Moore-Clingenpeel M, Burian J, Seok SC, Weiss RB, and Vieland VJ
Subjects: Humans, Genome-Wide Association Study, Exons, Patient Acuity, Walking, Antigens, Surface, Dystrophin genetics, Dystrophin metabolism, Muscular Dystrophy, Duchenne diagnosis, Muscular Dystrophy, Duchenne genetics
Abstract: The major determinant of disease severity in Duchenne muscular dystrophy (DMD) or milder Becker muscular dystrophy (BMD) is whether the dystrophin gene (DMD) mutation truncates the mRNA reading frame or allows expression of a partially functional protein. However, even in the complete absence of dystrophin, variability in disease severity is observed, and candidate gene studies have implicated several genes as modifiers. Here we present the largest genome-wide search to date for loci influencing severity in N = 419 DMD patients. Availability of subjects for such studies is quite limited, leading to modest sample sizes, which present a challenge for GWAS design. We have therefore taken special steps to minimize heterogeneity within our dataset at the DMD locus itself, taking a novel approach to mutation classification to effectively exclude the possibility of residual dystrophin expression, and utilized statistical methods that are well adapted to smaller sample sizes, including the use of a novel linear regression-like residual for time to ambulatory loss and the application of evidential statistics for the GWAS approach. Finally, we applied an unbiased in silico pipeline, utilizing functional genomic datasets to explore the potential impact of the best supported SNPs. In all, we obtained eight SNPs (out of 1,385,356 total) with posterior probability of trait-marker association (PPLD) ≥ 0.4, representing six distinct loci. Our analysis prioritized likely non-coding SNP regulatory effects on six genes (ETAA1, PARD6G, GALNTL6, MAN1A1, ADAMTS19, and NCALD), each with plausibility as a DMD modifier. These results support both recurrent and potentially new pathways for intervention in the dystrophinopathies., (© 2023. The Author(s), under exclusive licence to European Society of Human Genetics.)
Published: 2023
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16. The PPLD has advantages over conventional regression methods in application to moderately sized genome-wide association studies.

Author: Vieland VJ and Seok SC
Subjects: Computer Simulation, Gene Frequency genetics, Humans, Proportional Hazards Models, Regression Analysis, Reproducibility of Results, Sample Size, Time Factors, Genome-Wide Association Study, Linkage Disequilibrium genetics, Probability
Abstract: In earlier work, we have developed and evaluated an alternative approach to the analysis of GWAS data, based on a statistic called the PPLD. More recently, motivated by a GWAS for genetic modifiers of the X-linked Mendelian disorder Duchenne Muscular Dystrophy (DMD), we adapted the PPLD for application to time-to-event (TE) phenotypes. Because DMD itself is relatively rare, this is a setting in which the very large sample sizes generally assembled for GWAS are simply not attainable. For this reason, statistical methods specially adapted for use in small data sets are required. Here we explore the behavior of the TE-PPLD via simulations, comparing the TE-PPLD with Cox Proportional Hazards analysis in the context of small to moderate sample sizes. Our results will help to inform our approach to the DMD study going forward, and they illustrate several respects in which the TE-PPLD, and by extension the original PPLD, offer advantages over regression-based approaches to GWAS in this context., Competing Interests: The authors have declared that no competing interests exist.
Published: 2021
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17. Segregating patterns of copy number variations in extended autism spectrum disorder (ASD) pedigrees.

Author: Woodbury-Smith M, Zarrei M, Wei J, Thiruvahindrapuram B, O'Connor I, Paterson AD, Yuen RKC, Dastan J, Stavropoulos DJ, Howe JL, Thompson A, Parlier M, Fernandez B, Piven J, Anagnostou E, Scherer SW, Vieland VJ, and Szatmari P
Subjects: Autistic Disorder genetics, Child, Child, Preschool, Female, Genetic Linkage, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Infant, Male, Mutation, Nerve Tissue Proteins genetics, Phenotype, Risk Factors, Synapses metabolism, Whole Genome Sequencing, Autism Spectrum Disorder genetics, DNA Copy Number Variations, DNA Mutational Analysis, Gene Dosage, Pedigree
Abstract: Autism spectrum disorder (ASD) is a relatively common childhood onset neurodevelopmental disorder with a complex genetic etiology. While progress has been made in identifying the de novo mutational landscape of ASD, the genetic factors that underpin the ASD's tendency to run in families are not well understood. In this study, nine extended pedigrees each with three or more individuals with ASD, and others with a lesser autism phenotype, were phenotyped and genotyped in an attempt to identify heritable copy number variants (CNVs). Although these families have previously generated linkage signals, no rare CNV segregated with these signals in any family. A small number of clinically relevant CNVs were identified. Only one CNV was identified that segregated with ASD phenotype; namely, a duplication overlapping DLGAP2 in three male offspring each with an ASD diagnosis. This gene encodes a synaptic scaffolding protein, part of a group of proteins known to be pathologically implicated in ASD. On the whole, however, the heritable nature of ASD in the families studied remains poorly understood., (© 2020 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics published by Wiley Periodicals, Inc.)
Published: 2020
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18. A new linear regression-like residual for survival analysis, with application to genome wide association studies of time-to-event data.

Author: Vieland VJ, Seok SC, and Stewart WCL
Subjects: Computer Simulation, Humans, Linear Models, Male, Survival Analysis, Time Factors, Genome-Wide Association Study methods, Muscular Dystrophy, Duchenne genetics
Abstract: In linear regression, a residual measures how far a subject's observation is from expectation; in survival analysis, a subject's Martingale or deviance residual is sometimes interpreted similarly. Here we consider ways in which a linear regression-like interpretation is not appropriate for Martingale and deviance residuals, and we develop a novel time-to-event residual which does have a linear regression-like interpretation. We illustrate the utility of this new residual via simulation of a time-to-event genome-wide association study, motivated by a real study seeking genetic modifiers of Duchenne Muscular Dystrophy. By virtue of its linear regression-like characteristics, our new residual may prove useful in other contexts as well., Competing Interests: The authors have declared that no competing interests exist.
Published: 2020
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19. Long-range genomic regulators of THBS1 and LTBP4 modify disease severity in duchenne muscular dystrophy.

Author: Weiss RB, Vieland VJ, Dunn DM, Kaminoh Y, and Flanigan KM
Subjects: Child, Cohort Studies, Genomics, Humans, Male, Muscular Dystrophy, Duchenne diagnosis, Severity of Illness Index, Genome-Wide Association Study methods, Latent TGF-beta Binding Proteins genetics, Muscular Dystrophy, Duchenne genetics, Polymorphism, Single Nucleotide genetics, Thrombospondin 1 genetics
Abstract: Objective: Duchenne muscular dystrophy (DMD) is a severe X-linked recessive disease caused by loss-of-function dystrophin (DMD) mutations in boys, who typically suffer loss of ambulation by age 12. Previously, we reported that coding variants in latent transforming growth factor beta (TGFβ)-binding protein 4 (LTBP4) were associated with reduced TGFβ signaling and prolonged ambulation (p = 1.0 × 10 -3 ) in DMD patients; this result was subsequently replicated by other groups. In this study, we evaluated whether additional DMD modifier genes are observed using whole-genome association in the original cohort., Methods: We performed a genome-wide association study (GWAS) for single-nucleotide polymorphisms (SNPs) influencing loss of ambulation (LOA) in the same cohort of 253 DMD patients used to detect the candidate association with LTBP4 coding variants. Gene expression and chromatin interaction databases were used to fine-map association signals above the threshold for genome-wide significance., Results: Despite the small sample size, two loci associated with prolonged ambulation met genome-wide significance and were tagged by rs2725797 (chr15, p = 6.6 × 10 -9 ) and rs710160 (chr19, p = 4.7 × 10 -8 ). Gene expression and chromatin interaction data indicated that the latter SNP tags regulatory variants of LTBP4, whereas the former SNP tags regulatory variants of thrombospondin-1 (THBS1): an activator of TGFβ signaling by direct binding to LTBP4 and an inhibitor of proangiogenic nitric oxide signaling., Interpretation: Together with previous evidence implicating LTBP4, the THBS1 modifier locus emphasizes the role that common regulatory variants in gene interaction networks can play in mitigating disease progression in muscular dystrophy. Ann Neurol 2018;84:234-245., (© 2018 American Neurological Association.)
Published: 2018
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20. A single nucleotide polymorphism in the dimethylarginine dimethylaminohydrolase gene is associated with lower risk of pulmonary hypertension in bronchopulmonary dysplasia.

Author: Trittmann JK, Gastier-Foster JM, Zmuda EJ, Frick J, Rogers LK, Vieland VJ, Chicoine LG, and Nelin LD
Subjects: Cohort Studies, Female, Humans, Infant, Infant, Newborn, Male, Polymorphism, Single Nucleotide, Amidohydrolases genetics, Bronchopulmonary Dysplasia complications, Hypertension, Pulmonary genetics
Abstract: Aim: Pulmonary hypertension (PH) develops in 25-40% of bronchopulmonary dysplasia (BPD) patients, substantially increasing mortality. We have previously found that asymmetric dimethylarginine (ADMA), an endogenous inhibitor of nitric oxide (NO) production, is elevated in patients with BPD-associated PH. ADMA is metabolised by N(ᴳ) ,N(ᴳ) -dimethylarginine dimethylaminohydrolase (DDAH). Presently, we test the hypothesis that there are single nucleotide polymorphisms (SNPs) in DDAH1 and/or DDAH2 associated with the development of PH in BPD patients., Methods: BPD patients were enrolled (n = 98) at Nationwide Children's Hospital. Clinical characteristics and 36 SNPs in DDAH1 and DDAH2 were compared between BPD-associated PH patients (cases) and BPD-alone patients (controls)., Results: In BPD patients, 25 (26%) had echocardiographic evidence of PH (cases). In this cohort, DDAH1 wild-type rs480414 was 92% sensitive and 53% specific for PH in BPD, and the DDAH1 SNP rs480414 decreased the risk of PH in an additive model of inheritance (OR = 0.39; 95% CI [0.18-0.88], p = 0.01)., Conclusion: The rs480414 SNP in DDAH1 may be protective against the development of PH in patients with BPD. Furthermore, the DDAH1 rs480414 may be a useful biomarker in developing predictive models for PH in patients with BPD., Competing Interests: The authors declare no conflict of interest., (©2015 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.)
Published: 2016
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21. A genome-wide linkage and association study of musical aptitude identifies loci containing genes related to inner ear development and neurocognitive functions.

Author: Oikkonen J, Huang Y, Onkamo P, Ukkola-Vuoti L, Raijas P, Karma K, Vieland VJ, and Järvelä I
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Bayes Theorem, Child, Family Health, Female, Genetic Association Studies, Genotype, Humans, Male, Middle Aged, Phenotype, Young Adult, Aptitude physiology, Auditory Perception genetics, Cognition physiology, Ear, Inner growth & development, Genetic Linkage, Music
Abstract: Humans have developed the perception, production and processing of sounds into the art of music. A genetic contribution to these skills of musical aptitude has long been suggested. We performed a genome-wide scan in 76 pedigrees (767 individuals) characterized for the ability to discriminate pitch (SP), duration (ST) and sound patterns (KMT), which are primary capacities for music perception. Using the Bayesian linkage and association approach implemented in program package KELVIN, especially designed for complex pedigrees, several single nucleotide polymorphisms (SNPs) near genes affecting the functions of the auditory pathway and neurocognitive processes were identified. The strongest association was found at 3q21.3 (rs9854612) with combined SP, ST and KMT test scores (COMB). This region is located a few dozen kilobases upstream of the GATA binding protein 2 (GATA2) gene. GATA2 regulates the development of cochlear hair cells and the inferior colliculus (IC), which are important in tonotopic mapping. The highest probability of linkage was obtained for phenotype SP at 4p14, located next to the region harboring the protocadherin 7 gene, PCDH7. Two SNPs rs13146789 and rs13109270 of PCDH7 showed strong association. PCDH7 has been suggested to play a role in cochlear and amygdaloid complexes. Functional class analysis showed that inner ear and schizophrenia-related genes were enriched inside the linked regions. This study is the first to show the importance of auditory pathway genes in musical aptitude.
Published: 2015
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22. Using extended pedigrees to identify novel autism spectrum disorder (ASD) candidate genes.

Author: Woodbury-Smith M, Paterson AD, Thiruvahindrapduram B, Lionel AC, Marshall CR, Merico D, Fernandez BA, Duku E, Sutcliffe JS, O'Conner I, Chrysler C, Thompson A, Kellam B, Tammimies K, Walker S, Yuen RK, Uddin M, Howe JL, Parlier M, Whitten K, Szatmari P, Vieland VJ, Piven J, and Scherer SW
Subjects: Databases, Nucleic Acid, Datasets as Topic, Electron Transport Complex I, Female, Genetic Linkage, Genome-Wide Association Study, Humans, Male, Penetrance, Child Development Disorders, Pervasive genetics, Chromosomes, Human, Pair 11 genetics, Gene Duplication, Genetic Predisposition to Disease, Glutathione S-Transferase pi genetics, NADH Dehydrogenase genetics, Pedigree
Abstract: Copy number variation has emerged as an important cause of phenotypic variation, particularly in relation to some complex disorders. Autism spectrum disorder (ASD) is one such disorder, in which evidence is emerging for an etiological role for some rare penetrant de novo and rare inherited copy number variants (CNVs). De novo variation, however, does not always explain the familial nature of ASD, leaving a gap in our knowledge concerning the heritable genetic causes of this disorder. Extended pedigrees, in which several members have ASD, provide an opportunity to investigate inherited genetic risk factors. In this current study, we recruited 19 extended ASD pedigrees, and, using the Illumina HumanOmni2.5 BeadChip, conducted genome-wide CNV interrogation. We found no definitive evidence of an etiological role for segregating CNVs in these pedigrees, and no evidence that linkage signals in these pedigrees are explained by segregating CNVs. However, a small number of putative de novo variants were transmitted from BAP parents to their ASD offspring, and evidence emerged for a rare duplication CNV at 11p13.3 harboring two putative 'developmental/neuropsychiatric' susceptibility gene(s), GSTP1 and NDUFV1.
Published: 2015
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23. Host-to-host variation of ecological interactions in polymicrobial infections.

Author: Mukherjee S, Weimer KE, Seok SC, Ray WC, Jayaprakash C, Vieland VJ, Swords WE, and Das J
Subjects: Animals, Bacterial Infections epidemiology, Coinfection epidemiology, Ecological and Environmental Phenomena, Models, Biological, Otitis Media epidemiology, Population Dynamics, Bacterial Infections veterinary, Chinchilla microbiology, Coinfection veterinary, Otitis Media veterinary
Abstract: Host-to-host variability with respect to interactions between microorganisms and multicellular hosts are commonly observed in infection and in homeostasis. However, the majority of mechanistic models used to analyze host-microorganism relationships, as well as most of the ecological theories proposed to explain coevolution of hosts and microbes, are based on averages across a host population. By assuming that observed variations are random and independent, these models overlook the role of differences between hosts. Here, we analyze mechanisms underlying host-to-host variations of bacterial infection kinetics, using the well characterized experimental infection model of polymicrobial otitis media (OM) in chinchillas, in combination with population dynamic models and a maximum entropy (MaxEnt) based inference scheme. We find that the nature of the interactions between bacterial species critically regulates host-to-host variations in these interactions. Surprisingly, seemingly unrelated phenomena, such as the efficiency of individual bacterial species in utilizing nutrients for growth, and the microbe-specific host immune response, can become interdependent in a host population. The latter finding suggests a potential mechanism that could lead to selection of specific strains of bacterial species during the coevolution of the host immune response and the bacterial species.
Published: 2014
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24. PEDSnet: a National Pediatric Learning Health System.

Author: Forrest CB, Margolis PA, Bailey LC, Marsolo K, Del Beccaro MA, Finkelstein JA, Milov DE, Vieland VJ, Wolf BA, Yu FB, and Kahn MG
Subjects: Adolescent, Adult, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Information Dissemination, Male, Medical Record Linkage, United States, Vocabulary, Controlled, Young Adult, Computer Communication Networks, Electronic Health Records standards, Outcome Assessment, Health Care organization & administration, Patient-Centered Care, Pediatrics education
Abstract: A learning health system (LHS) integrates research done in routine care settings, structured data capture during every encounter, and quality improvement processes to rapidly implement advances in new knowledge, all with active and meaningful patient participation. While disease-specific pediatric LHSs have shown tremendous impact on improved clinical outcomes, a national digital architecture to rapidly implement LHSs across multiple pediatric conditions does not exist. PEDSnet is a clinical data research network that provides the infrastructure to support a national pediatric LHS. A consortium consisting of PEDSnet, which includes eight academic medical centers, two existing disease-specific pediatric networks, and two national data partners form the initial partners in the National Pediatric Learning Health System (NPLHS). PEDSnet is implementing a flexible dual data architecture that incorporates two widely used data models and national terminology standards to support multi-institutional data integration, cohort discovery, and advanced analytics that enable rapid learning., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)
Published: 2014
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25. Next-generation linkage and association methods applied to hypertension: a multifaceted approach to the analysis of sequence data.

Author: Stewart WC, Huang Y, Greenberg DA, and Vieland VJ
Abstract: To realize the full potential of next-generation sequencing, it is important to consider multiple sources of genetic information, including inheritance, association, and bioinformatics. To illustrate the promise of such an approach, we applied our next-generation linkage and association (NGLA) methods to the sequence data of a large 57-member Mexican American family with hypertension. Our results show that OSBPL10--a disease susceptibility gene for dyslipidemia--may also influence systolic blood pressure (SBP). In particular, our NGLA dense single-nucleotide polymorphism (SNP) analysis identified a 2.5-megabase (Mb) region that strongly cosegregates with low SBP (maximum posterior probability of linkage [PPL] = 68%). Furthermore, using the posterior probability of linkage disequilibrium (PPLD), we fine-mapped this region and identified 12 SBP-associated variants (PPLD ranging between 4% and 14%) that comprise a rare, 4-site haplotype. This haplotype extends into the candidate gene, OSBPL10 (oxysterol-binding protein-like 10). In contrast to our NGLA methods, a commonly used filter-based approach identified 23 variants with little evidence for spatial clustering around any particular gene or region of interest.
Published: 2014
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26. Convergence of genes and cellular pathways dysregulated in autism spectrum disorders.

Author: Pinto D, Delaby E, Merico D, Barbosa M, Merikangas A, Klei L, Thiruvahindrapuram B, Xu X, Ziman R, Wang Z, Vorstman JA, Thompson A, Regan R, Pilorge M, Pellecchia G, Pagnamenta AT, Oliveira B, Marshall CR, Magalhaes TR, Lowe JK, Howe JL, Griswold AJ, Gilbert J, Duketis E, Dombroski BA, De Jonge MV, Cuccaro M, Crawford EL, Correia CT, Conroy J, Conceição IC, Chiocchetti AG, Casey JP, Cai G, Cabrol C, Bolshakova N, Bacchelli E, Anney R, Gallinger S, Cotterchio M, Casey G, Zwaigenbaum L, Wittemeyer K, Wing K, Wallace S, van Engeland H, Tryfon A, Thomson S, Soorya L, Rogé B, Roberts W, Poustka F, Mouga S, Minshew N, McInnes LA, McGrew SG, Lord C, Leboyer M, Le Couteur AS, Kolevzon A, Jiménez González P, Jacob S, Holt R, Guter S, Green J, Green A, Gillberg C, Fernandez BA, Duque F, Delorme R, Dawson G, Chaste P, Café C, Brennan S, Bourgeron T, Bolton PF, Bölte S, Bernier R, Baird G, Bailey AJ, Anagnostou E, Almeida J, Wijsman EM, Vieland VJ, Vicente AM, Schellenberg GD, Pericak-Vance M, Paterson AD, Parr JR, Oliveira G, Nurnberger JI, Monaco AP, Maestrini E, Klauck SM, Hakonarson H, Haines JL, Geschwind DH, Freitag CM, Folstein SE, Ennis S, Coon H, Battaglia A, Szatmari P, Sutcliffe JS, Hallmayer J, Gill M, Cook EH, Buxbaum JD, Devlin B, Gallagher L, Betancur C, and Scherer SW
Subjects: Child, Female, Gene Regulatory Networks, Humans, Male, Multigene Family, Pedigree, Sequence Deletion, Child Development Disorders, Pervasive genetics, DNA Copy Number Variations, Metabolic Networks and Pathways genetics
Abstract: Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation., (Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2014
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27. Revisiting schizophrenia linkage data in the NIMH Repository: reanalysis of regularized data across multiple studies.

Author: Vieland VJ, Walters KA, Lehner T, Azaro M, Tobin K, Huang Y, and Brzustowicz LM
Subjects: Databases, Genetic statistics & numerical data, Humans, Mood Disorders complications, Mood Disorders genetics, National Institute of Mental Health (U.S.), Racial Groups genetics, Racial Groups psychology, Schizophrenia complications, United States, Genetic Linkage genetics, Genetic Predisposition to Disease genetics, Models, Statistical, Schizophrenia genetics
Abstract: Objective: The Combined Analysis of Psychiatric Studies (CAPS) project conducted extensive review and regularization across studies of all schizophrenia linkage data available as of 2011 from the National Institute of Mental Health-funded Center for Collaborative Genomic Studies on Mental Disorders, also known as the Human Genetics Initiative (HGI). The authors reanalyzed the data using statistical methods tailored to accumulation of evidence across multiple, potentially highly heterogeneous, sets of data., Method: Data were subdivided based on contributing study, major population group, and presence or absence within families of schizophrenia with a substantial affective component. The posterior probability of linkage (PPL) statistical framework was used to sequentially update linkage evidence across these data subsets (omnibus results)., Results: While some loci previously implicated using the HGI data were also identified in the present omnibus analysis (2q36.1, 15q23), others were not. Several loci were found that had not previously been reported in the HGI samples but are supported by independent linkage or association studies (3q28, 12q23.1, 11p11.2, Xq26.1). Not surprisingly, differences were seen across population groups. Of particular interest are signals on 11p15.3, 11p11.2, and Xq26.1, for which data from families with a substantial affective component support linkage while data from the remaining families provide evidence against linkage. All three of these loci overlap with loci reported in independent studies of bipolar disorder or mixed bipolar-schizophrenia samples., Conclusions: Public data repositories provide the opportunity to leverage large multisite data sets for studying complex disorders. Analysis with a statistical method specifically designed for such data enables us to extract new information from an existing data resource.
Published: 2014
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28. Meta-analysis of repository data: impact of data regularization on NIMH schizophrenia linkage results.

Author: Walters KA, Huang Y, Azaro M, Tobin K, Lehner T, Brzustowicz LM, and Vieland VJ
Subjects: Data Interpretation, Statistical, Humans, United States, Data Mining methods, Medical Informatics methods, National Institute of Mental Health (U.S.) statistics & numerical data, Schizophrenia
Abstract: Human geneticists are increasingly turning to study designs based on very large sample sizes to overcome difficulties in studying complex disorders. This in turn almost always requires multi-site data collection and processing of data through centralized repositories. While such repositories offer many advantages, including the ability to return to previously collected data to apply new analytic techniques, they also have some limitations. To illustrate, we reviewed data from seven older schizophrenia studies available from the NIMH-funded Center for Collaborative Genomic Studies on Mental Disorders, also known as the Human Genetics Initiative (HGI), and assessed the impact of data cleaning and regularization on linkage analyses. Extensive data regularization protocols were developed and applied to both genotypic and phenotypic data. Genome-wide nonparametric linkage (NPL) statistics were computed for each study, over various stages of data processing. To assess the impact of data processing on aggregate results, Genome-Scan Meta-Analysis (GSMA) was performed. Examples of increased, reduced and shifted linkage peaks were found when comparing linkage results based on original HGI data to results using post-processed data within the same set of pedigrees. Interestingly, reducing the number of affected individuals tended to increase rather than decrease linkage peaks. But most importantly, while the effects of data regularization within individual data sets were small, GSMA applied to the data in aggregate yielded a substantially different picture after data regularization. These results have implications for analyses based on other types of data (e.g., case-control GWAS or sequencing data) as well as data obtained from other repositories.
Published: 2014
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29. The value of regenotyping older linkage data sets with denser marker panels.

Author: Vieland VJ, Walters KA, Azaro M, Brzustowicz LM, and Lehner T
Subjects: Chromosome Mapping statistics & numerical data, Databases, Genetic statistics & numerical data, Family Health, Genome, Human genetics, Genome-Wide Association Study methods, Genome-Wide Association Study statistics & numerical data, Genotype, Genotyping Techniques statistics & numerical data, Hispanic or Latino genetics, Hispanic or Latino statistics & numerical data, Humans, Linkage Disequilibrium, Reproducibility of Results, Schizophrenia ethnology, Schizophrenia genetics, Chromosome Mapping methods, Genetic Linkage, Genotyping Techniques methods, Microsatellite Repeats genetics, Polymorphism, Single Nucleotide
Abstract: Objectives: Linkage analysis can help determine regions of interest in whole-genome sequence studies. However, many linkage studies rely on older microsatellite (MSAT) panels. We set out to determine whether results would change if we regenotyped families using a dense map of SNPs., Methods: We selected 47 Hispanic-American families from the NIMH Repository and Genomics Resource (NRGR) schizophrenia data repository. We regenotyped all individuals with DNA available from the NRGR on the Affymetrix Lat Array. After optimizing SNP selection for inclusion on the linkage map, we compared information content (IC) and linkage results using MSAT, SNP and MSAT+SNP maps., Results: As expected, SNP provided a higher average IC (0.78, SD 0.03) than MSAT (0.51, SD 0.10) in a direct 'apples-to-apples' comparison using only individuals genotyped on both platforms; while MSAT+SNP provided only a slightly higher IC (0.82, SD 0.03). However, when utilizing all available individuals, including those who had genotypes available on only one platform, the IC was substantially increased using MSAT+SNP (0.76, SD 0.05) compared to SNP (0.61, SD 0.02). Linkage results changed appreciably between MSAT and MSAT+SNP in terms of magnitude, rank ordering and localization of peaks., Conclusions: Regenotyping older family data can substantially alter the conclusions of linkage analyses., (© 2014 S. Karger AG, Basel.)
Published: 2014
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30. Evidence, temperature, and the laws of thermodynamics.

Author: Vieland VJ
Subjects: Temperature, Weights and Measures, Data Interpretation, Statistical, Thermodynamics
Abstract: A primary purpose of statistical analysis in genetics is the measurement of the strength of evidence for or against hypotheses. As with any type of measurement, a properly calibrated measurement scale is necessary if we want to be able to meaningfully compare degrees of evidence across genetic data sets, across different types of genetic studies and/or across distinct experimental modalities. In previous papers in this journal and elsewhere, my colleagues and I have argued that geneticists ought to care about the scale on which statistical evidence is measured, and we have proposed the Kelvin temperature scale as a template for a context-independent measurement scale for statistical evidence. Moreover, we have claimed that, mathematically speaking, evidence and temperature may be one and the same thing. On first blush, this might seem absurd. Temperature is a property of systems following certain laws of nature (in particular, the 1st and 2nd Law of Thermodynamics) involving very physical quantities (e.g., energy) and processes (e.g., mechanical work). But what do the laws of thermodynamics have to do with statistical systems? Here I address that question., (© 2014 S. Karger AG, Basel.)
Published: 2014
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31. Data-driven quantification of the robustness and sensitivity of cell signaling networks.

Author: Mukherjee S, Seok SC, Vieland VJ, and Das J
Subjects: Entropy, Escherichia coli metabolism, Models, Biological, Chemotaxis, Escherichia coli cytology, Escherichia coli Proteins metabolism, Signal Transduction
Abstract: Robustness and sensitivity of responses generated by cell signaling networks has been associated with survival and evolvability of organisms. However, existing methods analyzing robustness and sensitivity of signaling networks ignore the experimentally observed cell-to-cell variations of protein abundances and cell functions or contain ad hoc assumptions. We propose and apply a data-driven maximum entropy based method to quantify robustness and sensitivity of Escherichia coli (E. coli) chemotaxis signaling network. Our analysis correctly rank orders different models of E. coli chemotaxis based on their robustness and suggests that parameters regulating cell signaling are evolutionary selected to vary in individual cells according to their abilities to perturb cell functions. Furthermore, predictions from our approach regarding distribution of protein abundances and properties of chemotactic responses in individual cells based on cell population averaged data are in excellent agreement with their experimental counterparts. Our approach is general and can be used to evaluate robustness as well as generate predictions of single cell properties based on population averaged experimental data in a wide range of cell signaling systems.
Published: 2013
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32. Cell responses only partially shape cell-to-cell variations in protein abundances in Escherichia coli chemotaxis.

Author: Mukherjee S, Seok SC, Vieland VJ, and Das J
Subjects: Biophysical Phenomena, Entropy, Methyl-Accepting Chemotaxis Proteins, Bacterial Proteins metabolism, Chemotaxis physiology, Escherichia coli metabolism, Escherichia coli physiology, Escherichia coli Proteins metabolism, Membrane Proteins metabolism, Models, Biological, Signal Transduction physiology
Abstract: Cell-to-cell variations in protein abundance in clonal cell populations are ubiquitous in living systems. Because protein composition determines responses in individual cells, it stands to reason that the variations themselves are subject to selective pressures. However, the functional role of these cell-to-cell differences is not well understood. One way to tackle questions regarding relationships between form and function is to perturb the form (e.g., change the protein abundances) and observe the resulting changes in some function. Here, we take on the form-function relationship from the inverse perspective, asking instead what specific constraints on cell-to-cell variations in protein abundance are imposed by a given functional phenotype. We develop a maximum entropy-based approach to posing questions of this type and illustrate the method by application to the well-characterized chemotactic response in Escherichia coli. We find that full determination of observed cell-to-cell variations in protein abundances is not inherent in chemotaxis itself but, in fact, appears to be jointly imposed by the chemotaxis program in conjunction with other factors (e.g., the protein synthesis machinery and/or additional nonchemotactic cell functions, such as cell metabolism). These results illustrate the power of maximum entropy as a tool for the investigation of relationships between biological form and function.
Published: 2013
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33. A molecular genetic study of autism and related phenotypes in extended pedigrees.

Author: Piven J, Vieland VJ, Parlier M, Thompson A, O'Conner I, Woodbury-Smith M, Huang Y, Walters KA, Fernandez B, and Szatmari P
Abstract: Background: Efforts to uncover the risk genotypes associated with the familial nature of autism spectrum disorder (ASD) have had limited success. The study of extended pedigrees, incorporating additional ASD-related phenotypes into linkage analysis, offers an alternative approach to the search for inherited ASD susceptibility variants that complements traditional methods used to study the genetics of ASD., Methods: We examined evidence for linkage in 19 extended pedigrees ascertained through ASD cases spread across at least two (and in most cases three) nuclear families. Both compound phenotypes (i.e., ASD and, in non-ASD individuals, the broad autism phenotype) and more narrowly defined components of these phenotypes, e.g., social and repetitive behavior, pragmatic language, and anxiety, were examined. The overarching goal was to maximize the aggregate information available on the maximum number of individuals and to disaggregate syndromic phenotypes in order to examine the genetic underpinnings of more narrowly defined aspects of ASD behavior., Results: Results reveal substantial between-family locus heterogeneity and support the importance of previously reported ASD loci in inherited, familial, forms of ASD. Additional loci, not seen in the ASD analyses, show evidence for linkage to the broad autism phenotype (BAP). BAP peaks are well supported by multiple subphenotypes (including anxiety, pragmatic language, and social behavior) showing linkage to regions overlapping with the compound BAP phenotype. Whereas 'repetitive behavior', showing the strongest evidence for linkage (Posterior Probability of Linkage = 62% at 6p25.2-24.3, and 69% at 19p13.3), appears to be linked to novel regions not detected with other compound or narrow phenotypes examined in this study., Conclusions: These results provide support for the presence of key features underlying the complexity of the genetic architecture of ASD: substantial between-family locus heterogeneity, that the BAP appears to correspond to sets of subclinical features segregating with ASD within pedigrees, and that different features of the ASD phenotype segregate independently of one another. These findings support the additional study of larger, even more individually informative pedigrees, together with measurement of multiple, behavioral- and biomarker-based phenotypes, in both affected and non-affected individuals, to elucidate the complex genetics of familial ASD.
Published: 2013
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34. In silico modeling of Itk activation kinetics in thymocytes suggests competing positive and negative IP4 mediated feedbacks increase robustness.

Author: Mukherjee S, Rigaud S, Seok SC, Fu G, Prochenka A, Dworkin M, Gascoigne NR, Vieland VJ, Sauer K, and Das J
Subjects: Animals, Kinetics, Mice, Phosphatidylinositol 3-Kinases metabolism, Inositol Phosphates metabolism, Thymocytes metabolism
Abstract: The inositol-phosphate messenger inositol(1,3,4,5)tetrakisphosphate (IP4) is essential for thymocyte positive selection by regulating plasma-membrane association of the protein tyrosine kinase Itk downstream of the T cell receptor (TCR). IP4 can act as a soluble analog of the phosphoinositide 3-kinase (PI3K) membrane lipid product phosphatidylinositol(3,4,5)trisphosphate (PIP3). PIP3 recruits signaling proteins such as Itk to cellular membranes by binding to PH and other domains. In thymocytes, low-dose IP4 binding to the Itk PH domain surprisingly promoted and high-dose IP4 inhibited PIP3 binding of Itk PH domains. However, the mechanisms that underlie the regulation of membrane recruitment of Itk by IP4 and PIP3 remain unclear. The distinct Itk PH domain ability to oligomerize is consistent with a cooperative-allosteric mode of IP4 action. However, other possibilities cannot be ruled out due to difficulties in quantitatively measuring the interactions between Itk, IP4 and PIP3, and in generating non-oligomerizing Itk PH domain mutants. This has hindered a full mechanistic understanding of how IP4 controls Itk function. By combining experimentally measured kinetics of PLCγ1 phosphorylation by Itk with in silico modeling of multiple Itk signaling circuits and a maximum entropy (MaxEnt) based computational approach, we show that those in silico models which are most robust against variations of protein and lipid expression levels and kinetic rates at the single cell level share a cooperative-allosteric mode of Itk regulation by IP4 involving oligomeric Itk PH domains at the plasma membrane. This identifies MaxEnt as an excellent tool for quantifying robustness for complex TCR signaling circuits and provides testable predictions to further elucidate a controversial mechanism of PIP3 signaling.
Published: 2013
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35. Measurement of statistical evidence on an absolute scale following thermodynamic principles.

Author: Vieland VJ, Das J, Hodge SE, and Seok SC
Subjects: Calibration, Humans, Likelihood Functions, Models, Theoretical, Probability, Temperature, Statistics as Topic, Thermodynamics
Abstract: Statistical analysis is used throughout biomedical research and elsewhere to assess strength of evidence. We have previously argued that typical outcome statistics (including p values and maximum likelihood ratios) have poor measure-theoretic properties: they can erroneously indicate decreasing evidence as data supporting an hypothesis accumulate; and they are not amenable to calibration, necessary for meaningful comparison of evidence across different study designs, data types, and levels of analysis. We have also previously proposed that thermodynamic theory, which allowed for the first time derivation of an absolute measurement scale for temperature (T), could be used to derive an absolute scale for evidence (E). Here we present a novel thermodynamically based framework in which measurement of E on an absolute scale, for which "one degree" always means the same thing, becomes possible for the first time. The new framework invites us to think about statistical analyses in terms of the flow of (evidential) information, placing this work in the context of a growing literature on connections among physics, information theory, and statistics.
Published: 2013
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36. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.

Author: 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.
Published: 2013
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37. SRGAP1 is a candidate gene for papillary thyroid carcinoma susceptibility.

Author: He H, Bronisz A, Liyanarachchi S, Nagy R, Li W, Huang Y, Akagi K, Saji M, Kula D, Wojcicka A, Sebastian N, Wen B, Puch Z, Kalemba M, Stachlewska E, Czetwertynska M, Dlugosinska J, Dymecka K, Ploski R, Krawczyk M, Morrison PJ, Ringel MD, Kloos RT, Jazdzewski K, Symer DE, Vieland VJ, Ostrowski M, Jarząb B, and de la Chapelle A
Subjects: Carcinoma metabolism, Carcinoma, Papillary, Cell Line, Tumor, Cohort Studies, Enzyme Activation, Family Health, Female, GTPase-Activating Proteins chemistry, GTPase-Activating Proteins metabolism, Genome-Wide Association Study, HEK293 Cells, Humans, Linkage Disequilibrium, Male, Ohio, Pedigree, Poland, Protein Isoforms chemistry, Protein Isoforms genetics, Protein Isoforms metabolism, Protein Structure, Tertiary, Recombinant Proteins chemistry, Recombinant Proteins metabolism, Thyroid Cancer, Papillary, Thyroid Neoplasms metabolism, cdc42 GTP-Binding Protein genetics, cdc42 GTP-Binding Protein metabolism, Carcinoma genetics, GTPase-Activating Proteins genetics, Genetic Predisposition to Disease, Mutation, Missense, Thyroid Neoplasms genetics
Abstract: Background: Papillary thyroid carcinoma (PTC) shows high heritability, yet efforts to find predisposing genes have been largely negative., Objectives: The objective of this study was to identify susceptibility genes for PTC., Methods: A genome-wide linkage analysis was performed in 38 families. Targeted association study and screening were performed in 2 large cohorts of PTC patients and controls. Candidate DNA variants were tested in functional studies., Results: Linkage analysis and association studies identified the Slit-Robo Rho GTPase activating protein 1 gene (SRGAP1) in the linkage peak as a candidate gene. Two missense variants, Q149H and A275T, localized in the Fes/CIP4 homology domain segregated with the disease in 1 family each. One missense variant, R617C, located in the RhoGAP domain occurred in 1 family. Biochemical assays demonstrated that the ability to inactivate CDC42, a key function of SRGAP1, was severely impaired by the Q149H and R617C variants., Conclusions: Our findings suggest that SRGAP1 is a candidate gene in PTC susceptibility. SRGAP1 is likely a low-penetrant gene, possibly of a modifier type.
Published: 2013
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38. Employing MCMC under the PPL framework to analyze sequence data in large pedigrees.

Author: Huang Y, Thomas A, and Vieland VJ
Abstract: The increased feasibility of whole-genome (or whole-exome) sequencing has led to renewed interest in using family data to find disease mutations. For clinical phenotypes that lend themselves to study in large families, this approach can be particularly effective, because it may be possible to obtain strong evidence of a causal mutation segregating in a single pedigree even under conditions of extreme locus and/or allelic heterogeneity at the population level. In this paper, we extend our capacity to carry out positional mapping in large pedigrees, using a combination of linkage analysis and within-pedigree linkage trait-variant disequilibrium analysis to fine map down to the level of individual sequence variants. To do this, we develop a novel hybrid approach to the linkage portion, combining the non-stochastic approach to integration over the trait model implemented in the software package Kelvin, with Markov chain Monte Carlo-based approximation of the marker likelihood using blocked Gibbs sampling as implemented in the McSample program in the JPSGCS package. We illustrate both the positional mapping template, as well as the efficacy of the hybrid algorithm, in application to a single large pedigree with phenotypes simulated under a two-locus trait model.
Published: 2013
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39. Individual common variants exert weak effects on the risk for autism spectrum disorders.

Author: Anney R, Klei L, Pinto D, Almeida J, Bacchelli E, Baird G, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Casey J, Conroy J, Correia C, Corsello C, Crawford EL, de Jonge M, Delorme R, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Fombonne E, Gilbert J, Gillberg C, Glessner JT, Green A, Green J, Guter SJ, Heron EA, Holt R, Howe JL, Hughes G, Hus V, Igliozzi R, Jacob S, Kenny GP, Kim C, Kolevzon A, Kustanovich V, Lajonchere CM, Lamb JA, Law-Smith M, Leboyer M, Le Couteur A, Leventhal BL, Liu XQ, Lombard F, Lord C, Lotspeich L, Lund SC, Magalhaes TR, Mantoulan C, McDougle CJ, Melhem NM, Merikangas A, Minshew NJ, Mirza GK, Munson J, Noakes C, Nygren G, Papanikolaou K, Pagnamenta AT, Parrini B, Paton T, Pickles A, Posey DJ, Poustka F, Ragoussis J, Regan R, Roberts W, Roeder K, Roge B, Rutter ML, Schlitt S, Shah N, Sheffield VC, Soorya L, Sousa I, Stoppioni V, Sykes N, Tancredi R, Thompson AP, Thomson S, Tryfon A, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Vorstman JA, Wallace S, Wing K, Wittemeyer K, Wood S, Zurawiecki D, Zwaigenbaum L, Bailey AJ, Battaglia A, Cantor RM, Coon H, Cuccaro ML, Dawson G, Ennis S, Freitag CM, Geschwind DH, Haines JL, Klauck SM, McMahon WM, Maestrini E, Miller J, Monaco AP, Nelson SF, Nurnberger JI Jr, Oliveira G, Parr JR, Pericak-Vance MA, Piven J, Schellenberg GD, Scherer SW, Vicente AM, Wassink TH, Wijsman EM, Betancur C, Buxbaum JD, Cook EH, Gallagher L, Gill M, Hallmayer J, Paterson AD, Sutcliffe JS, Szatmari P, Vieland VJ, Hakonarson H, and Devlin B
Subjects: Alleles, Child, Child Development Disorders, Pervasive physiopathology, Female, Gene Frequency, Genotype, Humans, Language Development, Male, Polymorphism, Single Nucleotide, Risk Factors, Child Development Disorders, Pervasive genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Membrane Proteins genetics, Nerve Tissue Proteins genetics
Abstract: While it is apparent that rare variation can play an important role in the genetic architecture of autism spectrum disorders (ASDs), the contribution of common variation to the risk of developing ASD is less clear. To produce a more comprehensive picture, we report Stage 2 of the Autism Genome Project genome-wide association study, adding 1301 ASD families and bringing the total to 2705 families analysed (Stages 1 and 2). In addition to evaluating the association of individual single nucleotide polymorphisms (SNPs), we also sought evidence that common variants, en masse, might affect the risk. Despite genotyping over a million SNPs covering the genome, no single SNP shows significant association with ASD or selected phenotypes at a genome-wide level. The SNP that achieves the smallest P-value from secondary analyses is rs1718101. It falls in CNTNAP2, a gene previously implicated in susceptibility for ASD. This SNP also shows modest association with age of word/phrase acquisition in ASD subjects, of interest because features of language development are also associated with other variation in CNTNAP2. In contrast, allele scores derived from the transmission of common alleles to Stage 1 cases significantly predict case status in the independent Stage 2 sample. Despite being significant, the variance explained by these allele scores was small (Vm< 1%). Based on results from individual SNPs and their en masse effect on risk, as inferred from the allele score results, it is reasonable to conclude that common variants affect the risk for ASD but their individual effects are modest.
Published: 2012
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40. A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder.

Author: Casey JP, Magalhaes T, Conroy JM, Regan R, Shah N, Anney R, Shields DC, Abrahams BS, Almeida J, Bacchelli E, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bolton PF, Bourgeron T, Brennan S, Cali P, Correia C, Corsello C, Coutanche M, Dawson G, de Jonge M, Delorme R, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Foley S, Fombonne E, Freitag CM, Gilbert J, Gillberg C, Glessner JT, Green J, Guter SJ, Hakonarson H, Holt R, Hughes G, Hus V, Igliozzi R, Kim C, Klauck SM, Kolevzon A, Lamb JA, Leboyer M, Le Couteur A, Leventhal BL, Lord C, Lund SC, Maestrini E, Mantoulan C, Marshall CR, McConachie H, McDougle CJ, McGrath J, McMahon WM, Merikangas A, Miller J, Minopoli F, Mirza GK, Munson J, Nelson SF, Nygren G, Oliveira G, Pagnamenta AT, Papanikolaou K, Parr JR, Parrini B, Pickles A, Pinto D, Piven J, Posey DJ, Poustka A, Poustka F, Ragoussis J, Roge B, Rutter ML, Sequeira AF, Soorya L, Sousa I, Sykes N, Stoppioni V, Tancredi R, Tauber M, Thompson AP, Thomson S, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Vorstman JA, Wallace S, Wang K, Wassink TH, White K, Wing K, Wittemeyer K, Yaspan BL, Zwaigenbaum L, Betancur C, Buxbaum JD, Cantor RM, Cook EH, Coon H, Cuccaro ML, Geschwind DH, Haines JL, Hallmayer J, Monaco AP, Nurnberger JI Jr, Pericak-Vance MA, Schellenberg GD, Scherer SW, Sutcliffe JS, Szatmari P, Vieland VJ, Wijsman EM, Green A, Gill M, Gallagher L, Vicente A, and Ennis S
Subjects: Adult, Child, Cluster Analysis, Cohort Studies, DNA Copy Number Variations, Female, Genotype, Homozygote, Humans, Linkage Disequilibrium, Male, Middle Aged, Nuclear Family, Polymorphism, Single Nucleotide, Child Development Disorders, Pervasive genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Haplotypes genetics
Abstract: Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (~90%) remains poorly explained by common genetic risk variants. However, recent studies suggest that rare genomic variation, in particular copy number variation, may account for a significant proportion of the genetic basis of ASD. We present a large scale analysis to identify candidate genes which may contain low-frequency recessive variation contributing to ASD while taking into account the potential contribution of population differences to the genetic heterogeneity of ASD. Our strategy, homozygous haplotype (HH) mapping, aims to detect homozygous segments of identical haplotype structure that are shared at a higher frequency amongst ASD patients compared to parental controls. The analysis was performed on 1,402 Autism Genome Project trios genotyped for 1 million single nucleotide polymorphisms (SNPs). We identified 25 known and 1,218 novel ASD candidate genes in the discovery analysis including CADM2, ABHD14A, CHRFAM7A, GRIK2, GRM3, EPHA3, FGF10, KCND2, PDZK1, IMMP2L and FOXP2. Furthermore, 10 of the previously reported ASD genes and 300 of the novel candidates identified in the discovery analysis were replicated in an independent sample of 1,182 trios. Our results demonstrate that regions of HH are significantly enriched for previously reported ASD candidate genes and the observed association is independent of gene size (odds ratio 2.10). Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data.
Published: 2012
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41. Novel method for combined linkage and genome-wide association analysis finds evidence of distinct genetic architecture for two subtypes of autism.

Author: Vieland VJ, Hallmayer J, Huang Y, Pagnamenta AT, Pinto D, Khan H, Monaco AP, Paterson AD, Scherer SW, Sutcliffe JS, and Szatmari P
Abstract: The Autism Genome Project has assembled two large datasets originally designed for linkage analysis and genome-wide association analysis, respectively: 1,069 multiplex families genotyped on the Affymetrix 10 K platform, and 1,129 autism trios genotyped on the Illumina 1 M platform. We set out to exploit this unique pair of resources by analyzing the combined data with a novel statistical method, based on the PPL statistical framework, simultaneously searching for linkage and association to loci involved in autism spectrum disorders (ASD). Our analysis also allowed for potential differences in genetic architecture for ASD in the presence or absence of lower IQ, an important clinical indicator of ASD subtypes. We found strong evidence of multiple linked loci; however, association evidence implicating specific genes was low even under the linkage peaks. Distinct loci were found in the lower IQ families, and these families showed stronger and more numerous linkage peaks, while the normal IQ group yielded the strongest association evidence. It appears that presence/absence of lower IQ (LIQ) demarcates more genetically homogeneous subgroups of ASD patients, with not just different sets of loci acting in the two groups, but possibly distinct genetic architecture between them, such that the LIQ group involves more major gene effects (amenable to linkage mapping), while the normal IQ group potentially involves more common alleles with lower penetrances. The possibility of distinct genetic architecture across subtypes of ASD has implications for further research and perhaps for research approaches to other complex disorders as well.
Published: 2011
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42. Where's the evidence?

Author: Vieland VJ
Subjects: Biomedical Research, Calibration, Data Interpretation, Statistical, Humans, Models, Theoretical, Thermodynamics, Genetics
Abstract: Science is in large part the art of careful measurement, and a fixed measurement scale is the sine qua non of this art. It is obvious to us that measurement devices lacking fixed units and constancy of scale across applications are problematic, yet we seem oddly laissez faire in our approach to measurement of one critically important quantity: statistical evidence. Here I reconsider problems with reliance on p values or maximum LOD scores as measures of evidence, from a measure-theoretic perspective. I argue that the lack of an absolute scale for evidence measurement is every bit as problematic for modern biological research as was lack of an absolute thermal scale in pre-thermodynamic physics. Indeed, the difficulty of establishing properly calibrated evidence measures is strikingly similar to the problem 19th century physicists faced in deriving an absolute scale for the measurement of temperature. I propose that the formal relationship between the two problems might enable us to apply the mathematical foundations of thermodynamics to establish an absolute scale for the measurement of evidence, in statistical applications and possibly other areas of mathematical modeling as well. Here I begin to sketch out what such an endeavor might look like., (Copyright © 2011 S. Karger AG, Basel.)
Published: 2011
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43. KELVIN: a software package for rigorous measurement of statistical evidence in human genetics.

Author: Vieland VJ, Huang Y, Seok SC, Burian J, Catalyurek U, O'Connell J, Segre A, and Valentine-Cooper W
Subjects: Chromosome Mapping, Epistasis, Genetic, Genomic Imprinting, Humans, Linkage Disequilibrium, Models, Genetic, Pedigree, Quantitative Trait Loci, Genetic Linkage, Models, Statistical, Software
Abstract: This paper describes the software package KELVIN, which supports the PPL (posterior probability of linkage) framework for the measurement of statistical evidence in human (or more generally, diploid) genetic studies. In terms of scope, KELVIN supports two-point (trait-marker or marker-marker) and multipoint linkage analysis, based on either sex-averaged or sex-specific genetic maps, with an option to allow for imprinting; trait-marker linkage disequilibrium (LD), or association analysis, in case-control data, trio data, and/or multiplex family data, with options for joint linkage and trait-marker LD or conditional LD given linkage; dichotomous trait, quantitative trait and quantitative trait threshold models; and certain types of gene-gene interactions and covariate effects. Features and data (pedigree) structures can be freely mixed and matched within analyses. The statistical framework is specifically tailored to accumulate evidence in a mathematically rigorous way across multiple data sets or data subsets while allowing for multiple sources of heterogeneity, and KELVIN itself utilizes sophisticated software engineering to provide a powerful and robust platform for studying the genetics of complex disorders., (Copyright © 2011 S. Karger AG, Basel.)
Published: 2011
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44. Next-generation linkage analysis.

Author: Vieland VJ and Devoto M
Subjects: Humans, Genetic Linkage, High-Throughput Nucleotide Sequencing methods
Published: 2011
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45. Rare familial 16q21 microdeletions under a linkage peak implicate cadherin 8 (CDH8) in susceptibility to autism and learning disability.

Author: Pagnamenta AT, Khan H, Walker S, Gerrelli D, Wing K, Bonaglia MC, Giorda R, Berney T, Mani E, Molteni M, Pinto D, Le Couteur A, Hallmayer J, Sutcliffe JS, Szatmari P, Paterson AD, Scherer SW, Vieland VJ, and Monaco AP
Subjects: Adolescent, Base Sequence, Cadherins metabolism, Child, DNA Copy Number Variations genetics, DNA Mutational Analysis, Family, Female, Gene Expression Regulation, Genome, Human genetics, Humans, Intelligence Tests, Internet, Male, Molecular Sequence Data, Pedigree, Young Adult, Autistic Disorder genetics, Cadherins genetics, Chromosome Deletion, Chromosomes, Human, Pair 16 genetics, Genetic Linkage, Genetic Predisposition to Disease, Learning Disabilities genetics
Abstract: Background: Autism spectrum disorder (ASD) is characterised by impairments in social communication and by a pattern of repetitive behaviours, with learning disability (LD) typically seen in up to 70% of cases. A recent study using the PPL statistical framework identified a novel region of genetic linkage on chromosome 16q21 that is limited to ASD families with LD., Methods: In this study, two families with autism and/or LD are described which harbour rare >1.6 Mb microdeletions located within this linkage region. The deletion breakpoints are mapped at base-pair resolution and segregation analysis is performed using a combination of 1M single nucleotide polymorphism (SNP) technology, array comparative genomic hybridisation (CGH), long-range PCR, and Sanger sequencing. The frequency of similar genomic variants in control subjects is determined through analysis of published SNP array data. Expression of CDH8, the only gene disrupted by these microdeletions, is assessed using reverse transcriptase PCR and in situ hybridisation analysis of 9 week human embryos., Results: The deletion of chr16: 60 025 584-61 667 839 was transmitted to three of three boys with autism and LD and none of four unaffected siblings, from their unaffected mother. In a second family, an overlapping deletion of chr16: 58 724 527-60 547 472 was transmitted to an individual with severe LD from his father with moderate LD. No copy number variations (CNVs) disrupting CDH8 were observed in 5023 controls. Expression analysis indicates that the two CDH8 isoforms are present in the developing human cortex., Conclusion: Rare familial 16q21 microdeletions and expression analysis implicate CDH8 in susceptibility to autism and LD.
Published: 2011
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46. Association statistics under the PPL framework.

Author: Huang Y and Vieland VJ
Subjects: Case-Control Studies, Computer Simulation, Epistasis, Genetic, Family, Genes, Dominant, Genes, Recessive, Genetic Loci, Humans, Models, Genetic, Pedigree, Probability, Genome-Wide Association Study methods, Linkage Disequilibrium
Abstract: In this paper, we extend the PPL framework to the analysis of case-control (CC) data and introduce three new linkage disequilibrium (LD) statistics. These statistics measure the evidence for or against LD, rather than testing the null hypothesis of no LD, and they therefore avoid the need for multiple testing corrections. They are suitable not only for CC designs but also can be used in application to family data, ranging from trios to complex pedigrees, all under the same statistical framework, allowing for the seamless analysis of disparate data structures. They also provide other core advantages of the PPL framework, including the use of sequential updating to accumulate LD evidence across potentially heterogeneous sets or subsets of data; parameterization in terms of a very general trait likelihood, which simultaneously considers dominant, recessive, and additive models; and a straightforward mechanism for modeling two-locus epistasis. Finally, by implementing the new statistics within the PPL framework, we have a ready mechanism for incorporating linkage information, obtained from distinct data, into LD analyses in the form of a prior distribution. Here we examine the performance of the proposed LD statistics using simulated data, as well as assessing the effects of key modeling violations on this performance., (© 2010 Wiley-Liss, Inc.)
Published: 2010
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47. Combined linkage and linkage disequilibrium analysis of a motor speech phenotype within families ascertained for autism risk loci.

Author: Flax JF, Hare A, Azaro MA, Vieland VJ, and Brzustowicz LM
Abstract: Using behavioral and genetic information from the Autism Genetics Resource Exchange (AGRE) data set we developed phenotypes and investigated linkage and association for individuals with and without Autism Spectrum Disorders (ASD) who exhibit expressive language behaviors consistent with a motor speech disorder. Speech and language variables from Autism Diagnostic Interview-Revised (ADI-R) were used to develop a motor speech phenotype associated with non-verbal or unintelligible verbal behaviors (NVMSD:ALL) and a related phenotype restricted to individuals without significant comprehension difficulties (NVMSD:C). Using Affymetrix 5.0 data, the PPL framework was employed to assess the strength of evidence for or against trait-marker linkage and linkage disequilibrium (LD) across the genome. Ingenuity Pathway Analysis (IPA) was then utilized to identify potential genes for further investigation. We identified several linkage peaks based on two related language-speech phenotypes consistent with a potential motor speech disorder: chromosomes 1q24.2, 3q25.31, 4q22.3, 5p12, 5q33.1, 17p12, 17q11.2, and 17q22 for NVMSD:ALL and 4p15.2 and 21q22.2 for NVMSD:C. While no compelling evidence of association was obtained under those peaks, we identified several potential genes of interest using IPA. CONCLUSION: Several linkage peaks were identified based on two motor speech phenotypes. In the absence of evidence of association under these peaks, we suggest genes for further investigation based on their biological functions. Given that autism spectrum disorders are complex with a wide range of behaviors and a large number of underlying genes, these speech phenotypes may belong to a group of several that should be considered when developing narrow, well-defined, phenotypes in the attempt to reduce genetic heterogeneity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11689-010-9063-2) contains supplementary material, which is available to authorized users.
Published: 2010
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48. A genome-wide scan for common alleles affecting risk for autism.

Author: Anney R, Klei L, Pinto D, Regan R, Conroy J, Magalhaes TR, Correia C, Abrahams BS, Sykes N, Pagnamenta AT, Almeida J, Bacchelli E, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Carson AR, Casallo G, Casey J, Chu SH, Cochrane L, Corsello C, Crawford EL, Crossett A, Dawson G, de Jonge M, Delorme R, Drmic I, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Fombonne E, Freitag CM, Gilbert J, Gillberg C, Glessner JT, Goldberg J, Green J, Guter SJ, Hakonarson H, Heron EA, Hill M, Holt R, Howe JL, Hughes G, Hus V, Igliozzi R, Kim C, Klauck SM, Kolevzon A, Korvatska O, Kustanovich V, Lajonchere CM, Lamb JA, Laskawiec M, Leboyer M, Le Couteur A, Leventhal BL, Lionel AC, Liu XQ, Lord C, Lotspeich L, Lund SC, Maestrini E, Mahoney W, Mantoulan C, Marshall CR, McConachie H, McDougle CJ, McGrath J, McMahon WM, Melhem NM, Merikangas A, Migita O, Minshew NJ, Mirza GK, Munson J, Nelson SF, Noakes C, Noor A, Nygren G, Oliveira G, Papanikolaou K, Parr JR, Parrini B, Paton T, Pickles A, Piven J, Posey DJ, Poustka A, Poustka F, Prasad A, Ragoussis J, Renshaw K, Rickaby J, Roberts W, Roeder K, Roge B, Rutter ML, Bierut LJ, Rice JP, Salt J, Sansom K, Sato D, Segurado R, Senman L, Shah N, Sheffield VC, Soorya L, Sousa I, Stoppioni V, Strawbridge C, Tancredi R, Tansey K, Thiruvahindrapduram B, Thompson AP, Thomson S, Tryfon A, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Wallace S, Wang K, Wang Z, Wassink TH, Wing K, Wittemeyer K, Wood S, Yaspan BL, Zurawiecki D, Zwaigenbaum L, Betancur C, Buxbaum JD, Cantor RM, Cook EH, Coon H, Cuccaro ML, Gallagher L, Geschwind DH, Gill M, Haines JL, Miller J, Monaco AP, Nurnberger JI Jr, Paterson AD, Pericak-Vance MA, Schellenberg GD, Scherer SW, Sutcliffe JS, Szatmari P, Vicente AM, Vieland VJ, Wijsman EM, Devlin B, Ennis S, and Hallmayer J
Subjects: Alleles, DNA Copy Number Variations, Databases, Genetic, Genetic Variation, Genome, Human, Genotype, Humans, Risk Factors, White People genetics, Autistic Disorder genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Polymorphism, Single Nucleotide
Abstract: Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 × 10(-8). When a smaller replication sample was analyzed, the risk allele at rs4141463 was again over-transmitted; yet, consistent with the winner's curse, its effect size in the replication sample was much smaller; and, for the combined samples, the association signal barely fell below the P < 5 × 10(-8) threshold. Exploratory analyses of phenotypic subtypes yielded no significant associations after correction for multiple testing. They did, however, yield strong signals within several genes, KIAA0564, PLD5, POU6F2, ST8SIA2 and TAF1C.
Published: 2010
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49. Functional impact of global rare copy number variation in autism spectrum disorders.

Author: Pinto D, Pagnamenta AT, Klei L, Anney R, Merico D, Regan R, Conroy J, Magalhaes TR, Correia C, Abrahams BS, Almeida J, Bacchelli E, Bader GD, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Bryson SE, Carson AR, Casallo G, Casey J, Chung BH, Cochrane L, Corsello C, Crawford EL, Crossett A, Cytrynbaum C, Dawson G, de Jonge M, Delorme R, Drmic I, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Fombonne E, Freitag CM, Gilbert J, Gillberg C, Glessner JT, Goldberg J, Green A, Green J, Guter SJ, Hakonarson H, Heron EA, Hill M, Holt R, Howe JL, Hughes G, Hus V, Igliozzi R, Kim C, Klauck SM, Kolevzon A, Korvatska O, Kustanovich V, Lajonchere CM, Lamb JA, Laskawiec M, Leboyer M, Le Couteur A, Leventhal BL, Lionel AC, Liu XQ, Lord C, Lotspeich L, Lund SC, Maestrini E, Mahoney W, Mantoulan C, Marshall CR, McConachie H, McDougle CJ, McGrath J, McMahon WM, Merikangas A, Migita O, Minshew NJ, Mirza GK, Munson J, Nelson SF, Noakes C, Noor A, Nygren G, Oliveira G, Papanikolaou K, Parr JR, Parrini B, Paton T, Pickles A, Pilorge M, Piven J, Ponting CP, Posey DJ, Poustka A, Poustka F, Prasad A, Ragoussis J, Renshaw K, Rickaby J, Roberts W, Roeder K, Roge B, Rutter ML, Bierut LJ, Rice JP, Salt J, Sansom K, Sato D, Segurado R, Sequeira AF, Senman L, Shah N, Sheffield VC, Soorya L, Sousa I, Stein O, Sykes N, Stoppioni V, Strawbridge C, Tancredi R, Tansey K, Thiruvahindrapduram B, Thompson AP, Thomson S, Tryfon A, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Wallace S, Wang K, Wang Z, Wassink TH, Webber C, Weksberg R, Wing K, Wittemeyer K, Wood S, Wu J, Yaspan BL, Zurawiecki D, Zwaigenbaum L, Buxbaum JD, Cantor RM, Cook EH, Coon H, Cuccaro ML, Devlin B, Ennis S, Gallagher L, Geschwind DH, Gill M, Haines JL, Hallmayer J, Miller J, Monaco AP, Nurnberger JI Jr, Paterson AD, Pericak-Vance MA, Schellenberg GD, Szatmari P, Vicente AM, Vieland VJ, Wijsman EM, Scherer SW, Sutcliffe JS, and Betancur C
Subjects: Case-Control Studies, Cell Movement, Child, Child Development Disorders, Pervasive pathology, Cytoprotection, Europe ethnology, Genome-Wide Association Study, Humans, Signal Transduction, Social Behavior, Child Development Disorders, Pervasive genetics, Child Development Disorders, Pervasive physiopathology, DNA Copy Number Variations genetics, Gene Dosage genetics, Genetic Predisposition to Disease genetics
Abstract: The autism spectrum disorders (ASDs) are a group of conditions characterized by impairments in reciprocal social interaction and communication, and the presence of restricted and repetitive behaviours. Individuals with an ASD vary greatly in cognitive development, which can range from above average to intellectual disability. Although ASDs are known to be highly heritable ( approximately 90%), the underlying genetic determinants are still largely unknown. Here we analysed the genome-wide characteristics of rare (<1% frequency) copy number variation in ASD using dense genotyping arrays. When comparing 996 ASD individuals of European ancestry to 1,287 matched controls, cases were found to carry a higher global burden of rare, genic copy number variants (CNVs) (1.19 fold, P = 0.012), especially so for loci previously implicated in either ASD and/or intellectual disability (1.69 fold, P = 3.4 x 10(-4)). Among the CNVs there were numerous de novo and inherited events, sometimes in combination in a given family, implicating many novel ASD genes such as SHANK2, SYNGAP1, DLGAP2 and the X-linked DDX53-PTCHD1 locus. We also discovered an enrichment of CNVs disrupting functional gene sets involved in cellular proliferation, projection and motility, and GTPase/Ras signalling. Our results reveal many new genetic and functional targets in ASD that may lead to final connected pathways.
Published: 2010
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50. Expected monotonicity--a desirable property for evidence measures?

Author: Hodge SE and Vieland VJ
Subjects: Genetic Linkage, Models, Theoretical, Quantitative Trait, Heritable, Likelihood Functions, Probability
Abstract: We consider here the principle of 'evidential consistency' - that as one gathers more data, any well-behaved evidence measure should, in some sense, approach the true answer. Evidential consistency is essential for the genome-scan design (GWAS or linkage), where one selects the most promising locus(i) for follow-up, expecting that new data will increase evidence for the correct hypothesis. Earlier work [Vieland, Hum Hered 2006;61:144-156] showed that many popular statistics do not satisfy this principle; Vieland concluded that the problem stems from fundamental difficulties in how we measure evidence and argued for determining criteria to evaluate evidence measures. Here, we investigate in detail one proposed consistency criterion - expected monotonicity (ExpM) - for a simple statistical model (binomial) and four likelihood ratio (LR)-based evidence measures. We show that, with one limited exception, none of these measures displays ExpM; what they do display is sometimes counterintuitive. We conclude that ExpM is not a reasonable requirement for evidence measures; moreover, no requirement based on expected values seems feasible. We demonstrate certain desirable properties of the simple LR and demonstrate a connection between the simple and integrated LRs. We also consider an alternative version of consistency, which is satisfied by certain forms of the integrated LR and posterior probability of linkage., (Copyright © 2010 S. Karger AG, Basel.)
Published: 2010
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