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Celso Arango

Bio: Celso Arango is an academic researcher from Hospital General Universitario Gregorio Marañón. The author has contributed to research in topics: Schizophrenia & Psychosis. The author has an hindex of 70, co-authored 454 publications receiving 17603 citations. Previous affiliations of Celso Arango include Carlos III Health Institute & Complutense University of Madrid.


Papers
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Journal ArticleDOI
Hreinn Stefansson1, Hreinn Stefansson2, Roel A. Ophoff3, Roel A. Ophoff2, Roel A. Ophoff4, Stacy Steinberg2, Stacy Steinberg1, Ole A. Andreassen5, Sven Cichon6, Dan Rujescu7, Thomas Werge8, Olli Pietilainen9, Ole Mors10, Preben Bo Mortensen11, Engilbert Sigurdsson12, Omar Gustafsson1, Mette Nyegaard11, Annamari Tuulio-Henriksson13, Andres Ingason1, Thomas Hansen8, Jaana Suvisaari13, Jouko Lönnqvist13, Tiina Paunio, Anders D. Børglum10, Anders D. Børglum11, Annette M. Hartmann7, Anders Fink-Jensen8, Merete Nordentoft14, David M. Hougaard, Bent Nørgaard-Pedersen, Yvonne Böttcher1, Jes Olesen15, René Breuer16, Hans-Jürgen Möller7, Ina Giegling7, Henrik B. Rasmussen8, Sally Timm8, Manuel Mattheisen6, István Bitter17, János Réthelyi17, Brynja B. Magnusdottir12, Thordur Sigmundsson12, Pall I. Olason1, Gisli Masson1, Jeffrey R. Gulcher1, Magnús Haraldsson12, Ragnheidur Fossdal1, Thorgeir E. Thorgeirsson1, Unnur Thorsteinsdottir1, Unnur Thorsteinsdottir12, Mirella Ruggeri18, Sarah Tosato18, Barbara Franke19, Eric Strengman3, Lambertus A. Kiemeney19, Ingrid Melle5, Srdjan Djurovic5, Lilia I. Abramova20, Kaleda Vg20, Julio Sanjuán21, Rosa de Frutos21, Elvira Bramon22, Evangelos Vassos22, Gillian Fraser23, Ulrich Ettinger22, Marco Picchioni22, Nicholas Walker, T. Toulopoulou22, Anna C. Need24, Dongliang Ge24, Joeng Lim Yoon4, Kevin V. Shianna24, Nelson B. Freimer4, Rita M. Cantor4, Robin M. Murray22, Augustine Kong1, Vera Golimbet20, Angel Carracedo25, Celso Arango26, Javier Costas, Erik G. Jönsson27, Lars Terenius27, Ingrid Agartz27, Hannes Petursson12, Markus M. Nöthen6, Marcella Rietschel16, Paul M. Matthews28, Pierandrea Muglia29, Leena Peltonen9, David St Clair23, David Goldstein24, Kari Stefansson12, Kari Stefansson1, David A. Collier30, David A. Collier22 
06 Aug 2009-Nature
TL;DR: Findings implicating the MHC region are consistent with an immune component to schizophrenia risk, whereas the association with NRGN and TCF4 points to perturbation of pathways involved in brain development, memory and cognition.
Abstract: Schizophrenia is a complex disorder, caused by both genetic and environmental factors and their interactions. Research on pathogenesis has traditionally focused on neurotransmitter systems in the brain, particularly those involving dopamine. Schizophrenia has been considered a separate disease for over a century, but in the absence of clear biological markers, diagnosis has historically been based on signs and symptoms. A fundamental message emerging from genome-wide association studies of copy number variations (CNVs) associated with the disease is that its genetic basis does not necessarily conform to classical nosological disease boundaries. Certain CNVs confer not only high relative risk of schizophrenia but also of other psychiatric disorders. The structural variations associated with schizophrenia can involve several genes and the phenotypic syndromes, or the 'genomic disorders', have not yet been characterized. Single nucleotide polymorphism (SNP)-based genome-wide association studies with the potential to implicate individual genes in complex diseases may reveal underlying biological pathways. Here we combined SNP data from several large genome-wide scans and followed up the most significant association signals. We found significant association with several markers spanning the major histocompatibility complex (MHC) region on chromosome 6p21.3-22.1, a marker located upstream of the neurogranin gene (NRGN) on 11q24.2 and a marker in intron four of transcription factor 4 (TCF4) on 18q21.2. Our findings implicating the MHC region are consistent with an immune component to schizophrenia risk, whereas the association with NRGN and TCF4 points to perturbation of pathways involved in brain development, memory and cognition.

1,625 citations

Journal ArticleDOI
TL;DR: The interconnectedness of the world made society vulnerable to this infection, but it also provides the infrastructure to address previous system failings by disseminating good practices that can result in sustained, efficient, and equitable delivery of mental health-care delivery.

958 citations

Journal ArticleDOI
TL;DR: In this article , a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals was conducted, and the authors reported common variant associations at 287 distinct genomic loci.
Abstract: Schizophrenia has a heritability of 60–80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies. A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

558 citations

Journal ArticleDOI
Marta Di Forti1, Marta Di Forti2, Marta Di Forti3, Diego Quattrone2, Diego Quattrone1, Diego Quattrone3, Tom P. Freeman4, Giada Tripoli1, Charlotte Gayer-Anderson1, Harriet Quigley1, Victoria Rodriguez1, Hannah E Jongsma5, Hannah E Jongsma6, Laura Ferraro7, Caterina La Cascia7, Daniele La Barbera7, Ilaria Tarricone8, Domenico Berardi8, Andrei Szöke9, Celso Arango10, Andrea Tortelli, Eva Velthorst11, Miguel Bernardo12, Cristina Marta Del-Ben13, Paulo Rossi Menezes13, Jean-Paul Selten, Peter B. Jones6, James B. Kirkbride5, Bart P. F. Rutten14, Lieuwe de Haan11, Pak C. Sham15, Pak C. Sham1, Jim van Os16, Jim van Os1, Cathryn M. Lewis1, Cathryn M. Lewis3, Michael T. Lynskey1, Craig Morgan1, Robin M. Murray2, Robin M. Murray1, Silvia Amoretti, Manuel Arrojo, Grégoire Baudin, Stephanie Beards, Miquel Bernardo12, Julio Bobes, Chiara Bonetto, Bibiana Cabrera, Angel Carracedo, Thomas Charpeaud, Javier Costas, Doriana Cristofalo, Pedro Cuadrado, Covadonga M. Díaz-Caneja, Aziz Ferchiou, Nathalie Franke, Flora Frijda, Enrique García Bernardo, Paz García-Portilla, Emiliano González, Kathryn Hubbard, Stéphane Jamain, Estela Jiménez-López, Marion Leboyer, Gonzalo López Montoya, Esther Lorente-Rovira, Camila Marcelino Loureiro, Giovanna Marrazzo, Covadonga Martínez, Mario de Matteis, Elles Messchaart, Ma Dolores Moltó, Juan Nacher, Ma Soledad Olmeda, Mara Parellada, Javier González Peñas, Baptiste Pignon, Marta Rapado, Jean Romain Richard, José Juan Rodríguez Solano, Laura Roldán Díaz, Mirella Ruggeri, Pilar A. Saiz, Emilio Sánchez, Julio Sanjuán, Crocettarachele Sartorio, Franck Schürhoff, F. Seminerio, Rosana Shuhama, Lucia Sideli, Simona A. Stilo, Fabian Termorshuizen, Sarah Tosato, Anne Marie Tronche, Daniella van Dam, Elsje van der Ven 
TL;DR: Differences in frequency of daily cannabis use and in use of high-potency cannabis contributed to the striking variation in the incidence of psychotic disorder across the 11 studied sites, giving important implications for public health.

496 citations

Journal ArticleDOI
Sinead Kelly1, Sinead Kelly2, Neda Jahanshad1, Andrew Zalesky3  +188 moreInstitutions (55)
TL;DR: The present study provides a robust profile of widespread WM abnormalities in schizophrenia patients worldwide, and is believed to be the first ever large-scale coordinated study of WM microstructural differences in schizophrenia.
Abstract: The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across studies, we perform what we believe is the first ever large-scale coordinated study of WM microstructural differences in schizophrenia. Our analysis consisted of 2359 healthy controls and 1963 schizophrenia patients from 29 independent international studies; we harmonized the processing and statistical analyses of diffusion tensor imaging (DTI) data across sites and meta-analyzed effects across studies. Significant reductions in fractional anisotropy (FA) in schizophrenia patients were widespread, and detected in 20 of 25 regions of interest within a WM skeleton representing all major WM fasciculi. Effect sizes varied by region, peaking at (d=0.42) for the entire WM skeleton, driven more by peripheral areas as opposed to the core WM where regions of interest were defined. The anterior corona radiata (d=0.40) and corpus callosum (d=0.39), specifically its body (d=0.39) and genu (d=0.37), showed greatest effects. Significant decreases, to lesser degrees, were observed in almost all regions analyzed. Larger effect sizes were observed for FA than diffusivity measures; significantly higher mean and radial diffusivity was observed for schizophrenia patients compared with controls. No significant effects of age at onset of schizophrenia or medication dosage were detected. As the largest coordinated analysis of WM differences in a psychiatric disorder to date, the present study provides a robust profile of widespread WM abnormalities in schizophrenia patients worldwide. Interactive three-dimensional visualization of the results is available at www.enigma-viewer.org.

480 citations


Cited by
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Stephan Ripke1, Stephan Ripke2, Benjamin M. Neale1, Benjamin M. Neale2  +351 moreInstitutions (102)
24 Jul 2014-Nature
TL;DR: Associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses.
Abstract: Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain, providing biological plausibility for the findings. Many findings have the potential to provide entirely new insights into aetiology, but associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that have important roles in immunity, providing support for the speculated link between the immune system and schizophrenia.

6,809 citations

Journal ArticleDOI
TL;DR: The dynamic anatomical sequence of human cortical gray matter development between the age of 4-21 years using quantitative four-dimensional maps and time-lapse sequences reveals that higher-order association cortices mature only after lower-order somatosensory and visual cortices are developed.
Abstract: We report the dynamic anatomical sequence of human cortical gray matter development between the age of 4–21 years using quantitative four-dimensional maps and time-lapse sequences. Thirteen healthy children for whom anatomic brain MRI scans were obtained every 2 years, for 8–10 years, were studied. By using models of the cortical surface and sulcal landmarks and a statistical model for gray matter density, human cortical development could be visualized across the age range in a spatiotemporally detailed time-lapse sequence. The resulting time-lapse “movies” reveal that (i) higher-order association cortices mature only after lower-order somatosensory and visual cortices, the functions of which they integrate, are developed, and (ii) phylogenetically older brain areas mature earlier than newer ones. Direct comparison with normal cortical development may help understanding of some neurodevelopmental disorders such as childhood-onset schizophrenia or autism.

4,950 citations

Journal ArticleDOI
Shaun Purcell1, Shaun Purcell2, Naomi R. Wray3, Jennifer Stone1, Jennifer Stone2, Peter M. Visscher, Michael Conlon O'Donovan4, Patrick F. Sullivan5, Pamela Sklar1, Pamela Sklar2, Douglas M. Ruderfer, Andrew McQuillin, Derek W. Morris6, Colm O'Dushlaine6, Aiden Corvin6, Peter Holmans4, Stuart MacGregor3, Hugh Gurling, Douglas Blackwood7, Nicholas John Craddock5, Michael Gill6, Christina M. Hultman8, Christina M. Hultman9, George Kirov4, Paul Lichtenstein9, Walter J. Muir7, Michael John Owen4, Carlos N. Pato10, Edward M. Scolnick2, Edward M. Scolnick1, David St Clair, Nigel Williams4, Lyudmila Georgieva4, Ivan Nikolov4, Nadine Norton4, Hywel Williams4, Draga Toncheva, Vihra Milanova, Emma Flordal Thelander9, Patrick Sullivan11, Elaine Kenny6, Emma M. Quinn6, Khalid Choudhury12, Susmita Datta12, Jonathan Pimm12, Srinivasa Thirumalai13, Vinay Puri12, Robert Krasucki12, Jacob Lawrence12, Digby Quested14, Nicholas Bass12, Caroline Crombie15, Gillian Fraser15, Soh Leh Kuan, Nicholas Walker, Kevin A. McGhee7, Ben S. Pickard16, P. Malloy7, Alan W Maclean7, Margaret Van Beck7, Michele T. Pato10, Helena Medeiros10, Frank A. Middleton17, Célia Barreto Carvalho10, Christopher P. Morley17, Ayman H. Fanous, David V. Conti10, James A. Knowles10, Carlos Ferreira, António Macedo18, M. Helena Azevedo18, Andrew Kirby2, Andrew Kirby1, Manuel A. R. Ferreira1, Manuel A. R. Ferreira2, Mark J. Daly1, Mark J. Daly2, Kimberly Chambert2, Finny G Kuruvilla2, Stacey Gabriel2, Kristin G. Ardlie2, Jennifer L. Moran2 
06 Aug 2009-Nature
TL;DR: The extent to which common genetic variation underlies the risk of schizophrenia is shown, using two analytic approaches, and the major histocompatibility complex is implicate, which is shown to involve thousands of common alleles of very small effect.
Abstract: Schizophrenia is a severe mental disorder with a lifetime risk of about 1%, characterized by hallucinations, delusions and cognitive deficits, with heritability estimated at up to 80%(1,2). We performed a genome-wide association study of 3,322 European individuals with schizophrenia and 3,587 controls. Here we show, using two analytic approaches, the extent to which common genetic variation underlies the risk of schizophrenia. First, we implicate the major histocompatibility complex. Second, we provide molecular genetic evidence for a substantial polygenic component to the risk of schizophrenia involving thousands of common alleles of very small effect. We show that this component also contributes to the risk of bipolar disorder, but not to several non-psychiatric diseases.

4,573 citations