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1. Genomics yields biological and phenotypic insights into bipolar disorder

Author

O’Connell, Kevin S., Koromina, Maria, van der Veen, Tracey, Boltz, Toni, David, Friederike S., Yang, Jessica Mei Kay, Lin, Keng-Han, Wang, Xin, Coleman, Jonathan R. I., Mitchell, Brittany L., McGrouther, Caroline C., Rangan, Aaditya V., Lind, Penelope A., Koch, Elise, Harder, Arvid, Parker, Nadine, Bendl, Jaroslav, Adorjan, Kristina, Agerbo, Esben, Albani, Diego, Alemany, Silvia, Alliey-Rodriguez, Ney, Als, Thomas D., Andlauer, Till F. M., Antoniou, Anastasia, Ask, Helga, Bass, Nicholas, Bauer, Michael, Beins, Eva C., Bigdeli, Tim B., Pedersen, Carsten Bøcker, Boks, Marco P., Børte, Sigrid, Bosch, Rosa, Brum, Murielle, Brumpton, Ben M., Brunkhorst-Kanaan, Nathalie, Budde, Monika, Bybjerg-Grauholm, Jonas, Byerley, William, Cabana-Domínguez, Judit, Cairns, Murray J., Carpiniello, Bernardo, Casas, Miquel, Cervantes, Pablo, Chatzinakos, Chris, Chen, Hsi-Chung, Clarence, Tereza, Clarke, Toni-Kim, Claus, Isabelle, Coombes, Brandon, Corfield, Elizabeth C., Cruceanu, Cristiana, Cuellar-Barboza, Alfredo, Czerski, Piotr M., Dafnas, Konstantinos, Dale, Anders M., Dalkner, Nina, Degenhardt, Franziska, DePaulo, J. Raymond, Djurovic, Srdjan, Drange, Ole Kristian, Escott-Price, Valentina, Fanous, Ayman H., Fellendorf, Frederike T., Ferrier, I. Nicol, Forty, Liz, Frank, Josef, Frei, Oleksandr, Freimer, Nelson B., Fullard, John F., Garnham, Julie, Gizer, Ian R., Gordon, Scott D., Gordon-Smith, Katherine, Greenwood, Tiffany A., Grove, Jakob, Guzman-Parra, José, Ha, Tae Hyon, Hahn, Tim, Haraldsson, Magnus, Hautzinger, Martin, Havdahl, Alexandra, Heilbronner, Urs, Hellgren, Dennis, Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Holmans, Peter A., Huang, Ming-Chyi, Ikeda, Masashi, Jamain, Stéphane, Johnson, Jessica S., Jonsson, Lina, Kalman, Janos L., Kamatani, Yoichiro, Kennedy, James L., Kim, Euitae, Kim, Jaeyoung, Kittel-Schneider, Sarah, Knowles, James A., Kogevinas, Manolis, Kranz, Thorsten M., Krebs, Kristi, Kushner, Steven A., Lavebratt, Catharina, Lawrence, Jacob, Leber, Markus, Lee, Heon-Jeong, Liao, Calwing, Lucae, Susanne, Lundberg, Martin, MacIntyre, Donald J., Maier, Wolfgang, Maihofer, Adam X., Malaspina, Dolores, Manchia, Mirko, Maratou, Eirini, Martinsson, Lina, Mattheisen, Manuel, McGregor, Nathaniel W., McInnis, Melvin G., McKay, James D., Medeiros, Helena, Meyer-Lindenberg, Andreas, Millischer, Vincent, Morris, Derek W., Moutsatsou, Paraskevi, Mühleisen, Thomas W., O’Donovan, Claire, Olsen, Catherine M., Panagiotaropoulou, Georgia, Papiol, Sergi, Pardiñas, Antonio F., Park, Hye Youn, Perry, Amy, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Quested, Digby, Rapaport, Mark H., Regeer, Eline J., Rice, John P., Rivera, Margarita, Schulte, Eva C., Senner, Fanny, Shadrin, Alexey, Shilling, Paul D., Sigurdsson, Engilbert, Sindermann, Lisa, Sirignano, Lea, Siskind, Dan, Slaney, Claire, Sloofman, Laura G., Smeland, Olav B., Smith, Daniel J., Sobell, Janet L., Soler Artigas, Maria, Stein, Dan J., Stein, Frederike, Su, Mei-Hsin, Sung, Heejong, Świątkowska, Beata, Terao, Chikashi, Tesfaye, Markos, Tesli, Martin, Thorgeirsson, Thorgeir E., Thorp, Jackson G., Toma, Claudio, Tondo, Leonardo, Tooney, Paul A., Tsai, Shih-Jen, Tsermpini, Evangelia Eirini, Vawter, Marquis P., Vedder, Helmut, Vreeker, Annabel, Walters, James T. R., Winsvold, Bendik S., Witt, Stephanie H., Won, Hong-Hee, Ye, Robert, Young, Allan H., Zandi, Peter P., Zillich, Lea, Adolfsson, Rolf, Alda, Martin, Alfredsson, Lars, Backlund, Lena, Baune, Bernhard T., Bellivier, Frank, Bengesser, Susanne, Berrettini, Wade H., Biernacka, Joanna M., Boehnke, Michael, Børglum, Anders D., Breen, Gerome, Carr, Vaughan J., Catts, Stanley, Cichon, Sven, Corvin, Aiden, Craddock, Nicholas, Dannlowski, Udo, Dikeos, Dimitris, Etain, Bruno, Ferentinos, Panagiotis, Frye, Mark, Fullerton, Janice M., Gawlik, Micha, Gershon, Elliot S., Goes, Fernando S., Green, Melissa J., Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Henskens, Frans A., Hjerling-Leffler, Jens, Hougaard, David M., Hveem, Kristian, Iwata, Nakao, Jones, Ian, Jones, Lisa A., Kahn, René S., Kelsoe, John R., Kircher, Tilo, Kirov, George, Kuo, Po-Hsiu, Landén, Mikael, Leboyer, Marion, Li, Qingqin S., Lissowska, Jolanta, Lochner, Christine, Loughland, Carmel, Luykx, Jurjen J., Martin, Nicholas G., Mathews, Carol A., Mayoral, Fermin, McElroy, Susan L., McIntosh, Andrew M., McMahon, Francis J., Medland, Sarah E., Melle, Ingrid, Milani, Lili, Mitchell, Philip B., Morken, Gunnar, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Myers, Richard M., Myung, Woojae, Neale, Benjamin M., Nievergelt, Caroline M., Nordentoft, Merete, Nöthen, Markus M., Nurnberger, John I., O’Donovan, Michael C., Oedegaard, Ketil J., Olsson, Tomas, Owen, Michael J., Paciga, Sara A., Pantelis, Christos, Pato, Carlos N., Pato, Michele T., Patrinos, George P., Pawlak, Joanna M., Ramos-Quiroga, Josep Antoni, Reif, Andreas, Reininghaus, Eva Z., Ribasés, Marta, Rietschel, Marcella, Ripke, Stephan, Rouleau, Guy A., Roussos, Panos, Saito, Takeo, Schall, Ulrich, Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Scott, Laura J., Scott, Rodney J., Serretti, Alessandro, Smoller, Jordan W., Squassina, Alessio, Stahl, Eli A., Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Streit, Fabian, Sullivan, Patrick F., Turecki, Gustavo, Vaaler, Arne E., Vieta, Eduard, Vincent, John B., Waldman, Irwin D., Weickert, Cynthia S., Weickert, Thomas W., Werge, Thomas, Whiteman, David C., Zwart, John-Anker, Edenberg, Howard J., McQuillin, Andrew, Forstner, Andreas J., Mullins, Niamh, Di Florio, Arianna, Ophoff, Roel A., and Andreassen, Ole A.

Published
2025
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3. CoBWeb: a user-friendly web application to estimate causal treatment effects from observational data using multiple algorithms

Author

Markoulidakis, Andreas, Holmans, Peter, Pallmann, Philip, Busse, Monica, and Griffin, Beth-Ann

Subjects
Statistics - Methodology, Statistics - Applications
Abstract

Background/aims: While randomized controlled trials are the gold standard for measuring causal effects, robust conclusions about causal relationships can be obtained using data from observational studies if proper statistical techniques are used to account for the imbalance of pretreatment confounders across groups. Propensity score (PS) and balance weighting are useful techniques that aim to reduce the observed imbalances between treatment groups by weighting the groups to be as similar as possible with respect to observed confounders. Methods: We have created CoBWeb, a free and easy-to-use web application for the estimation of causal treatment effects from observational data, using PS and balancing weights to control for confounding bias. CoBWeb uses multiple algorithms to estimate the PS and balancing weights, to allow for more flexible relations between the treatment indicator and the observed confounders (as different algorithms make different (or no) assumptions about the structural relationship between the treatment covariate and the confounders). The optimal algorithm can be chosen by selecting the one that achieves the best trade-off between balance and effective sample size. Results: CoBWeb follows all the key steps required for robust estimation of the causal treatment effect from observational study data and includes sensitivity analysis of the potential impact of unobserved confounders. We illustrate the practical use of the app using a dataset derived from a study of an intervention for adolescents with substance use disorder, which is available for users within the app environment. Conclusion: CoBWeb is intended to enable non-specialists to understand and apply all the key steps required to perform robust estimation of causal treatment effects using observational data., Comment: 16 pages

Published
2021

4. New insights into the genetic etiology of Alzheimer’s disease and related dementias

Author

Bellenguez, Céline, Küçükali, Fahri, Jansen, Iris E, Kleineidam, Luca, Moreno-Grau, Sonia, Amin, Najaf, Naj, Adam C, Campos-Martin, Rafael, Grenier-Boley, Benjamin, Andrade, Victor, Holmans, Peter A, Boland, Anne, Damotte, Vincent, van der Lee, Sven J, Costa, Marcos R, Kuulasmaa, Teemu, Yang, Qiong, de Rojas, Itziar, Bis, Joshua C, Yaqub, Amber, Prokic, Ivana, Chapuis, Julien, Ahmad, Shahzad, Giedraitis, Vilmantas, Aarsland, Dag, Garcia-Gonzalez, Pablo, Abdelnour, Carla, Alarcón-Martín, Emilio, Alcolea, Daniel, Alegret, Montserrat, Alvarez, Ignacio, Álvarez, Victoria, Armstrong, Nicola J, Tsolaki, Anthoula, Antúnez, Carmen, Appollonio, Ildebrando, Arcaro, Marina, Archetti, Silvana, Pastor, Alfonso Arias, Arosio, Beatrice, Athanasiu, Lavinia, Bailly, Henri, Banaj, Nerisa, Baquero, Miquel, Barral, Sandra, Beiser, Alexa, Pastor, Ana Belén, Below, Jennifer E, Benchek, Penelope, Benussi, Luisa, Berr, Claudine, Besse, Céline, Bessi, Valentina, Binetti, Giuliano, Bizarro, Alessandra, Blesa, Rafael, Boada, Mercè, Boerwinkle, Eric, Borroni, Barbara, Boschi, Silvia, Bossù, Paola, Bråthen, Geir, Bressler, Jan, Bresner, Catherine, Brodaty, Henry, Brookes, Keeley J, Brusco, Luis Ignacio, Buiza-Rueda, Dolores, Bûrger, Katharina, Burholt, Vanessa, Bush, William S, Calero, Miguel, Cantwell, Laura B, Chene, Geneviève, Chung, Jaeyoon, Cuccaro, Michael L, Carracedo, Ángel, Cecchetti, Roberta, Cervera-Carles, Laura, Charbonnier, Camille, Chen, Hung-Hsin, Chillotti, Caterina, Ciccone, Simona, Claassen, Jurgen AHR, Clark, Christopher, Conti, Elisa, Corma-Gómez, Anaïs, Costantini, Emanuele, Custodero, Carlo, Daian, Delphine, Dalmasso, Maria Carolina, Daniele, Antonio, Dardiotis, Efthimios, Dartigues, Jean-François, de Deyn, Peter Paul, de Paiva Lopes, Katia, de Witte, Lot D, Debette, Stéphanie, Deckert, Jürgen, and del Ser, Teodoro

Subjects
Biochemistry and Cell Biology, Genetics, Biological Sciences, Dementia, Neurodegenerative, Prevention, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Alzheimer's Disease, Brain Disorders, Neurosciences, Aging, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Neurological, Alzheimer Disease, Cognitive Dysfunction, Genome-Wide Association Study, Humans, tau Proteins, EADB, GR@ACE, DEGESCO, EADI, GERAD, Demgene, FinnGen, ADGC, CHARGE, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.

Published
2022

5. How balance and sample size impact bias in the estimation of causal treatment effects: A simulation study

Author

Markoulidakis, Andreas, Holmans, Peter, Pallmann, Philip, Busse, Monica, and Griffin, Beth Ann

Subjects
Statistics - Methodology, Statistics - Applications
Abstract

Observational studies are often used to understand relationships between exposures and outcomes. They do not, however, allow conclusions about causal relationships to be drawn unless statistical techniques are used to account for the imbalance of confounders across exposure groups. Propensity score and balance weighting (PSBW) are useful techniques that aim to reduce the imbalances between exposure groups by weighting the groups to look alike on the observed confounders. Despite the plethora of available methods to estimate PSBW, there is little guidance on what one defines as adequate balance, and unbiased and robust estimation of the causal treatment effect is not guaranteed unless several conditions hold. Accurate inference requires that 1. the treatment allocation mechanism is known, 2. the relationship between the baseline covariates and the outcome is known, 3. adequate balance of baseline covariates is achieved post-weighting, 4. a proper set of covariates to control for confounding bias is known, and 5. a large enough sample size is available. In this article, we use simulated data of various sizes to investigate the influence of these five factors on statistical inference. Our findings provide evidence that the maximum Kolmogorov- Smirnov statistic is the proper statistical measure to assess balance on the baseline covariates, in contrast to the mean standardised mean difference used in many applications, and 0.1 is a suitable threshold to consider as acceptable balance. Finally, we recommend that 60-80 observations, per confounder per treatment group, are required to obtain a reliable and unbiased estimation of the causal treatment effect.

Published
2021

6. Both cis and trans-acting genetic factors drive somatic instability in female carriers of the FMR1 premutation

Author

Hwang, Ye Hyun, Hayward, Bruce Eliot, Zafarullah, Marwa, Kumar, Jay, Durbin Johnson, Blythe, Holmans, Peter, Usdin, Karen, and Tassone, Flora

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Genetic Testing, Mental Health, Brain Disorders, Pediatric, Fragile X Syndrome, Rare Diseases, Intellectual and Developmental Disabilities (IDD), 5' Untranslated Regions, Alleles, Ataxia, Child, Female, Fragile X Mental Retardation Protein, Humans, Intellectual Disability, Mutation, Trans-Activators, Tremor, Trinucleotide Repeat Expansion
Abstract

The fragile X mental retardation (FMR1) gene contains an expansion-prone CGG repeat within its 5' UTR. Alleles with 55-200 repeats are known as premutation (PM) alleles and confer risk for one or more of the FMR1 premutation (PM) disorders that include Fragile X-associated Tremor/Ataxia Syndrome (FXTAS), Fragile X-associated Primary Ovarian Insufficiency (FXPOI), and Fragile X-Associated Neuropsychiatric Disorders (FXAND). PM alleles expand on intergenerational transmission, with the children of PM mothers being at risk of inheriting alleles with > 200 CGG repeats (full mutation FM) alleles) and thus developing Fragile X Syndrome (FXS). PM alleles can be somatically unstable. This can lead to individuals being mosaic for multiple size alleles. Here, we describe a detailed evaluation of somatic mosaicism in a large cohort of female PM carriers and show that 94% display some evidence of somatic instability with the presence of a series of expanded alleles that differ from the next allele by a single repeat unit. Using two different metrics for instability that we have developed, we show that, as with intergenerational instability, there is a direct relationship between the extent of somatic expansion and the number of CGG repeats in the originally inherited allele and an inverse relationship with the number of AGG interruptions. Expansions are progressive as evidenced by a positive correlation with age and by examination of blood samples from the same individual taken at different time points. Our data also suggests the existence of other genetic or environmental factors that affect the extent of somatic expansion. Importantly, the analysis of candidate single nucleotide polymorphisms (SNPs) suggests that two DNA repair factors, FAN1 and MSH3, may be modifiers of somatic expansion risk in the PM population as observed in other repeat expansion disorders.

Published
2022

7. Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease

Author

Hou, Jiahui, Hess, Jonathan L, Armstrong, Nicola, Bis, Joshua C, Grenier-Boley, Benjamin, Karlsson, Ida K, Leonenko, Ganna, Numbers, Katya, O’Brien, Eleanor K, Shadrin, Alexey, Thalamuthu, Anbupalam, Yang, Qiong, Andreassen, Ole A, Brodaty, Henry, Gatz, Margaret, Kochan, Nicole A, Lambert, Jean-Charles, Laws, Simon M, Masters, Colin L, Mather, Karen A, Pedersen, Nancy L, Posthuma, Danielle, Sachdev, Perminder S, Williams, Julie, Fan, Chun Chieh, Faraone, Stephen V, Fennema-Notestine, Christine, Lin, Shu-Ju, Escott-Price, Valentina, Holmans, Peter, Seshadri, Sudha, Tsuang, Ming T, Kremen, William S, and Glatt, Stephen J

Subjects
Genetics, Alzheimer's Disease, Brain Disorders, Human Genome, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Genetic Testing, Neurodegenerative, Prevention, Dementia, Aging, Acquired Cognitive Impairment, Aetiology, 2.1 Biological and endogenous factors, Alzheimer Disease, Apolipoprotein E4, Apolipoproteins E, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Risk Factors, Alzheimer’s Disease Neuroimaging Initiative, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Polygenic risk scores (PRSs) can boost risk prediction in late-onset Alzheimer's disease (LOAD) beyond apolipoprotein E (APOE) but have not been leveraged to identify genetic resilience factors. Here, we sought to identify resilience-conferring common genetic variants in (1) unaffected individuals having high PRSs for LOAD, and (2) unaffected APOE-ε4 carriers also having high PRSs for LOAD. We used genome-wide association study (GWAS) to contrast "resilient" unaffected individuals at the highest genetic risk for LOAD with LOAD cases at comparable risk. From GWAS results, we constructed polygenic resilience scores to aggregate the addictive contributions of risk-orthogonal common variants that promote resilience to LOAD. Replication of resilience scores was undertaken in eight independent studies. We successfully replicated two polygenic resilience scores that reduce genetic risk penetrance for LOAD. We also showed that polygenic resilience scores positively correlate with polygenic risk scores in unaffected individuals, perhaps aiding in staving off disease. Our findings align with the hypothesis that a combination of risk-independent common variants mediates resilience to LOAD by moderating genetic disease risk.

Published
2022

8. A tutorial comparing different covariate balancing methods with an application evaluating the causal effects of substance use treatment programs for adolescents

Author

Markoulidakis, Andreas, Taiyari, Khadijeh, Holmans, Peter, Pallmann, Philip, Busse, Monica, Godley, Mark D., and Griffin, Beth Ann

Subjects
Statistics - Methodology, Statistics - Applications, Statistics - Other Statistics
Abstract

Randomized controlled trials are the gold standard for measuring causal effects. However, they are often not always feasible, and causal treatment effects must be estimated from observational data. Observational studies do not allow robust conclusions about causal relationships unless statistical techniques account for the imbalance of pretreatment confounders across groups while key assumptions hold. Propensity score and balance weighting (PSBW) are useful techniques that aim to reduce the imbalances between treatment groups by weighting the groups to look alike on the observed confounders. There are many methods available to estimate PSBW. However, it is unclear a priori which will achieve the best trade-off between covariate balance and effective sample size. Moreover, it is critical to assess the validity of key assumptions required for robust estimation of the needed treatment effects, including the overlap and no unmeasured confounding assumptions. We present a step-by-step guide to covariate balancing strategies, including how to evaluate overlap, obtain estimates of PSBW, check for covariate balance, and assess sensitivity to unobserved confounding. We compare the performance of several estimation methods using a case study examining the relative effectiveness of substance use treatment programs and provide a user-friendly web application that can implement the proposed steps.

Published
2020

9. Author Correction: Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Author

de Rojas, Itziar, Moreno-Grau, Sonia, Tesi, Niccolo, Grenier-Boley, Benjamin, Andrade, Victor, Jansen, Iris E., Pedersen, Nancy L., Stringa, Najada, Zettergren, Anna, Hernández, Isabel, Montrreal, Laura, Antúnez, Carmen, Antonell, Anna, Tankard, Rick M., Bis, Joshua C., Sims, Rebecca, Bellenguez, Céline, Quintela, Inés, González-Perez, Antonio, Calero, Miguel, Franco-Macías, Emilio, Macías, Juan, Blesa, Rafael, Cervera-Carles, Laura, Menéndez-González, Manuel, Frank-García, Ana, Royo, Jose Luís, Moreno, Fermin, Huerto Vilas, Raquel, Baquero, Miquel, Diez-Fairen, Mónica, Lage, Carmen, García-Madrona, Sebastián, García-González, Pablo, Alarcón-Martín, Emilio, Valero, Sergi, Sotolongo-Grau, Oscar, Ullgren, Abbe, Naj, Adam C., Lemstra, Afina W., Benaque, Alba, Pérez-Cordón, Alba, Benussi, Alberto, Rábano, Alberto, Padovani, Alessandro, Squassina, Alessio, de Mendonça, Alexandre, Arias Pastor, Alfonso, Kok, Almar A. L., Meggy, Alun, Pastor, Ana Belén, Espinosa, Ana, Corma-Gómez, Anaïs, Martín Montes, Angel, Sanabria, Ángela, DeStefano, Anita L., Schneider, Anja, Haapasalo, Annakaisa, Kinhult Ståhlbom, Anne, Tybjærg-Hansen, Anne, Hartmann, Annette M., Spottke, Annika, Corbatón-Anchuelo, Arturo, Rongve, Arvid, Borroni, Barbara, Arosio, Beatrice, Nacmias, Benedetta, Nordestgaard, Børge G., Kunkle, Brian W., Charbonnier, Camille, Abdelnour, Carla, Masullo, Carlo, Martínez Rodríguez, Carmen, Muñoz-Fernandez, Carmen, Dufouil, Carole, Graff, Caroline, Ferreira, Catarina B., Chillotti, Caterina, Reynolds, Chandra A., Fenoglio, Chiara, Van Broeckhoven, Christine, Clark, Christopher, Pisanu, Claudia, Satizabal, Claudia L., Holmes, Clive, Buiza-Rueda, Dolores, Aarsland, Dag, Rujescu, Dan, Alcolea, Daniel, Galimberti, Daniela, Wallon, David, Seripa, Davide, Grünblatt, Edna, Dardiotis, Efthimios, Düzel, Emrah, Scarpini, Elio, Conti, Elisa, Rubino, Elisa, Gelpi, Ellen, Rodriguez-Rodriguez, Eloy, Duron, Emmanuelle, Boerwinkle, Eric, Ferri, Evelyn, Tagliavini, Fabrizio, Küçükali, Fahri, Pasquier, Florence, Sanchez-Garcia, Florentino, Mangialasche, Francesca, Jessen, Frank, Nicolas, Gaël, Selbæk, Geir, Ortega, Gemma, Chêne, Geneviève, Hadjigeorgiou, Georgios, Rossi, Giacomina, Spalletta, Gianfranco, Giaccone, Giorgio, Grande, Giulia, Binetti, Giuliano, Papenberg, Goran, Hampel, Harald, Bailly, Henri, Zetterberg, Henrik, Soininen, Hilkka, Karlsson, Ida K., Alvarez, Ignacio, Appollonio, Ildebrando, Giegling, Ina, Skoog, Ingmar, Saltvedt, Ingvild, Rainero, Innocenzo, Rosas Allende, Irene, Hort, Jakub, Diehl-Schmid, Janine, Van Dongen, Jasper, Vidal, Jean-Sebastien, Lehtisalo, Jenni, Wiltfang, Jens, Thomassen, Jesper Qvist, Kornhuber, Johannes, Haines, Jonathan L., Vogelgsang, Jonathan, Pineda, Juan A., Fortea, Juan, Popp, Julius, Deckert, Jürgen, Buerger, Katharina, Morgan, Kevin, Fließbach, Klaus, Sleegers, Kristel, Molina-Porcel, Laura, Kilander, Lena, Weinhold, Leonie, Farrer, Lindsay A., Wang, Li-San, Kleineidam, Luca, Farotti, Lucia, Parnetti, Lucilla, Tremolizzo, Lucio, Hausner, Lucrezia, Benussi, Luisa, Froelich, Lutz, Ikram, M. Arfan, Deniz-Naranjo, M. Candida, Tsolaki, Magda, Rosende-Roca, Maitée, Löwenmark, Malin, Hulsman, Marc, Spallazzi, Marco, Pericak-Vance, Margaret A., Esiri, Margaret, Bernal Sánchez-Arjona, María, Dalmasso, Maria Carolina, Martínez-Larrad, María Teresa, Arcaro, Marina, Nöthen, Markus M., Fernández-Fuertes, Marta, Dichgans, Martin, Ingelsson, Martin, Herrmann, Martin J., Scherer, Martin, Vyhnalek, Martin, Kosmidis, Mary H., Yannakoulia, Mary, Schmid, Matthias, Ewers, Michael, Heneka, Michael T., Wagner, Michael, Scamosci, Michela, Kivipelto, Miia, Hiltunen, Mikko, Zulaica, Miren, Alegret, Montserrat, Fornage, Myriam, Roberto, Natalia, van Schoor, Natasja M., Seidu, Nazib M., Banaj, Nerisa, Armstrong, Nicola J., Scarmeas, Nikolaos, Scherbaum, Norbert, Goldhardt, Oliver, Hanon, Oliver, Peters, Oliver, Skrobot, Olivia Anna, Quenez, Olivier, Lerch, Ondrej, Bossù, Paola, Caffarra, Paolo, Dionigi Rossi, Paolo, Sakka, Paraskevi, Mecocci, Patrizia, Hoffmann, Per, Holmans, Peter A., Fischer, Peter, Riederer, Peter, Yang, Qiong, Marshall, Rachel, Kalaria, Rajesh N., Mayeux, Richard, Vandenberghe, Rik, Cecchetti, Roberta, Ghidoni, Roberta, Frikke-Schmidt, Ruth, Sorbi, Sandro, Hägg, Sara, Engelborghs, Sebastiaan, Helisalmi, Seppo, Botne Sando, Sigrid, Kern, Silke, Archetti, Silvana, Boschi, Silvia, Fostinelli, Silvia, Gil, Silvia, Mendoza, Silvia, Mead, Simon, Ciccone, Simona, Djurovic, Srdjan, Heilmann-Heimbach, Stefanie, Riedel-Heller, Steffi, Kuulasmaa, Teemu, del Ser, Teodoro, Lebouvier, Thibaud, Polak, Thomas, Ngandu, Tiia, Grimmer, Timo, Bessi, Valentina, Escott-Price, Valentina, Giedraitis, Vilmantas, Deramecourt, Vincent, Maier, Wolfgang, Jian, Xueqiu, Pijnenburg, Yolande A. L., Kehoe, Patrick Gavin, Garcia-Ribas, Guillermo, Sánchez-Juan, Pascual, Pastor, Pau, Pérez-Tur, Jordi, Piñol-Ripoll, Gerard, Lopez de Munain, Adolfo, García-Alberca, Jose María, Bullido, María J., Álvarez, Victoria, Lleó, Alberto, Real, Luis M., Mir, Pablo, Medina, Miguel, Scheltens, Philip, Holstege, Henne, Marquié, Marta, Sáez, María Eugenia, Carracedo, Ángel, Amouyel, Philippe, Schellenberg, Gerard D., Williams, Julie, Seshadri, Sudha, van Duijn, Cornelia M., Mather, Karen A., Sánchez-Valle, Raquel, Serrano-Ríos, Manuel, Orellana, Adelina, Tárraga, Lluís, Blennow, Kaj, Huisman, Martijn, Andreassen, Ole A., Posthuma, Danielle, Clarimón, Jordi, Boada, Mercè, van der Flier, Wiesje M., Ramirez, Alfredo, Lambert, Jean-Charles, van der Lee, Sven J., and Ruiz, Agustín

Published
2023
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10. Schizophrenia, autism spectrum disorders and developmental disorders share specific disruptive coding mutations.

Author

Rees, Elliott, Creeth, Hugo DJ, Hwu, Hai-Gwo, Chen, Wei J, Tsuang, Ming, Glatt, Stephen J, Rey, Romain, Kirov, George, Walters, James TR, Holmans, Peter, Owen, Michael J, and O'Donovan, Michael C

Subjects
Mental Health, Neurosciences, Genetics, Schizophrenia, Serious Mental Illness, Brain Disorders, Intellectual and Developmental Disabilities (IDD), Pediatric, Autism, 2.1 Biological and endogenous factors, Mental health
Abstract

People with schizophrenia are enriched for rare coding variants in genes associated with neurodevelopmental disorders, particularly autism spectrum disorders and intellectual disability. However, it is unclear if the same changes to gene function that increase risk to neurodevelopmental disorders also do so for schizophrenia. Using data from 3444 schizophrenia trios and 37,488 neurodevelopmental disorder trios, we show that within shared risk genes, de novo variants in schizophrenia and neurodevelopmental disorders are generally of the same functional category, and that specific de novo variants observed in neurodevelopmental disorders are enriched in schizophrenia (P = 5.0 × 10-6). The latter includes variants known to be pathogenic for syndromic disorders, suggesting that schizophrenia be included as a characteristic of those syndromes. Our findings imply that, in part, neurodevelopmental disorders and schizophrenia have shared molecular aetiology, and therefore likely overlapping pathophysiology, and support the hypothesis that at least some forms of schizophrenia lie on a continuum of neurodevelopmental disorders.

Published
2021

11. Genetic contributors to risk of schizophrenia in the presence of a 22q11.2 deletion.

Author

Cleynen, Isabelle, Engchuan, Worrawat, Hestand, Matthew S, Heung, Tracy, Holleman, Aaron M, Johnston, H Richard, Monfeuga, Thomas, McDonald-McGinn, Donna M, Gur, Raquel E, Morrow, Bernice E, Swillen, Ann, Vorstman, Jacob AS, Bearden, Carrie E, Chow, Eva WC, van den Bree, Marianne, Emanuel, Beverly S, Vermeesch, Joris R, Warren, Stephen T, Owen, Michael J, Chopra, Pankaj, Cutler, David J, Duncan, Richard, Kotlar, Alex V, Mulle, Jennifer G, Voss, Anna J, Zwick, Michael E, Diacou, Alexander, Golden, Aaron, Guo, Tingwei, Lin, Jhih-Rong, Wang, Tao, Zhang, Zhengdong, Zhao, Yingjie, Marshall, Christian, Merico, Daniele, Jin, Andrea, Lilley, Brenna, Salmons, Harold I, Tran, Oanh, Holmans, Peter, Pardinas, Antonio, Walters, James TR, Demaerel, Wolfram, Boot, Erik, Butcher, Nancy J, Costain, Gregory A, Lowther, Chelsea, Evers, Rens, van Amelsvoort, Therese AMJ, van Duin, Esther, Vingerhoets, Claudia, Breckpot, Jeroen, Devriendt, Koen, Vergaelen, Elfi, Vogels, Annick, Crowley, T Blaine, McGinn, Daniel E, Moss, Edward M, Sharkus, Robert J, Unolt, Marta, Zackai, Elaine H, Calkins, Monica E, Gallagher, Robert S, Gur, Ruben C, Tang, Sunny X, Fritsch, Rosemarie, Ornstein, Claudia, Repetto, Gabriela M, Breetvelt, Elemi, Duijff, Sasja N, Fiksinski, Ania, Moss, Hayley, Niarchou, Maria, Murphy, Kieran C, Prasad, Sarah E, Daly, Eileen M, Gudbrandsen, Maria, Murphy, Clodagh M, Murphy, Declan G, Buzzanca, Antonio, Fabio, Fabio Di, Digilio, Maria C, Pontillo, Maria, Marino, Bruno, Vicari, Stefano, Coleman, Karlene, Cubells, Joseph F, Ousley, Opal Y, Carmel, Miri, Gothelf, Doron, Mekori-Domachevsky, Ehud, Michaelovsky, Elena, Weinberger, Ronnie, Weizman, Abraham, Kushan, Leila, Jalbrzikowski, Maria, Armando, Marco, Eliez, Stéphan, Sandini, Corrado, and Schneider, Maude

Subjects
International 22q11.2DS Brain and Behavior Consortium, Prevention, Serious Mental Illness, Genetics, Human Genome, Schizophrenia, Neurosciences, Mental Health, Clinical Research, Pediatric, Brain Disorders, 2.1 Biological and endogenous factors, Mental health, Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

Schizophrenia occurs in about one in four individuals with 22q11.2 deletion syndrome (22q11.2DS). The aim of this International Brain and Behavior 22q11.2DS Consortium (IBBC) study was to identify genetic factors that contribute to schizophrenia, in addition to the ~20-fold increased risk conveyed by the 22q11.2 deletion. Using whole-genome sequencing data from 519 unrelated individuals with 22q11.2DS, we conducted genome-wide comparisons of common and rare variants between those with schizophrenia and those with no psychotic disorder at age ≥25 years. Available microarray data enabled direct comparison of polygenic risk for schizophrenia between 22q11.2DS and independent population samples with no 22q11.2 deletion, with and without schizophrenia (total n = 35,182). Polygenic risk for schizophrenia within 22q11.2DS was significantly greater for those with schizophrenia (padj = 6.73 × 10-6). Novel reciprocal case-control comparisons between the 22q11.2DS and population-based cohorts showed that polygenic risk score was significantly greater in individuals with psychotic illness, regardless of the presence of the 22q11.2 deletion. Within the 22q11.2DS cohort, results of gene-set analyses showed some support for rare variants affecting synaptic genes. No common or rare variants within the 22q11.2 deletion region were significantly associated with schizophrenia. These findings suggest that in addition to the deletion conferring a greatly increased risk to schizophrenia, the risk is higher when the 22q11.2 deletion and common polygenic risk factors that contribute to schizophrenia in the general population are both present.

Published
2021

12. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

Author

Mullins, Niamh, Forstner, Andreas J, O’Connell, Kevin S, Coombes, Brandon, Coleman, Jonathan RI, Qiao, Zhen, Als, Thomas D, Bigdeli, Tim B, Børte, Sigrid, Bryois, Julien, Charney, Alexander W, Drange, Ole Kristian, Gandal, Michael J, Hagenaars, Saskia P, Ikeda, Masashi, Kamitaki, Nolan, Kim, Minsoo, Krebs, Kristi, Panagiotaropoulou, Georgia, Schilder, Brian M, Sloofman, Laura G, Steinberg, Stacy, Trubetskoy, Vassily, Winsvold, Bendik S, Won, Hong-Hee, Abramova, Liliya, Adorjan, Kristina, Agerbo, Esben, Al Eissa, Mariam, Albani, Diego, Alliey-Rodriguez, Ney, Anjorin, Adebayo, Antilla, Verneri, Antoniou, Anastasia, Awasthi, Swapnil, Baek, Ji Hyun, Bækvad-Hansen, Marie, Bass, Nicholas, Bauer, Michael, Beins, Eva C, Bergen, Sarah E, Birner, Armin, Bøcker Pedersen, Carsten, Bøen, Erlend, Boks, Marco P, Bosch, Rosa, Brum, Murielle, Brumpton, Ben M, Brunkhorst-Kanaan, Nathalie, Budde, Monika, Bybjerg-Grauholm, Jonas, Byerley, William, Cairns, Murray, Casas, Miquel, Cervantes, Pablo, Clarke, Toni-Kim, Cruceanu, Cristiana, Cuellar-Barboza, Alfredo, Cunningham, Julie, Curtis, David, Czerski, Piotr M, Dale, Anders M, Dalkner, Nina, David, Friederike S, Degenhardt, Franziska, Djurovic, Srdjan, Dobbyn, Amanda L, Douzenis, Athanassios, Elvsåshagen, Torbjørn, Escott-Price, Valentina, Ferrier, I Nicol, Fiorentino, Alessia, Foroud, Tatiana M, Forty, Liz, Frank, Josef, Frei, Oleksandr, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Garnham, Julie, Gelernter, Joel, Giørtz Pedersen, Marianne, Gizer, Ian R, Gordon, Scott D, Gordon-Smith, Katherine, Greenwood, Tiffany A, Grove, Jakob, Guzman-Parra, José, Ha, Kyooseob, Haraldsson, Magnus, Hautzinger, Martin, Heilbronner, Urs, Hellgren, Dennis, Herms, Stefan, Hoffmann, Per, Holmans, Peter A, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, and Kalman, Janos L

Subjects
Biological Sciences, Genetics, Human Genome, Mental Illness, Serious Mental Illness, Mental Health, Brain Disorders, Bipolar Disorder, Biotechnology, 2.1 Biological and endogenous factors, Neurological, Mental health, Good Health and Well Being, Case-Control Studies, Chromosomes, Human, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Major Histocompatibility Complex, Multifactorial Inheritance, Phenotype, Quantitative Trait Loci, Risk Factors, HUNT All-In Psychiatry, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.

Published
2021

13. A polygenic resilience score moderates the genetic risk for schizophrenia

Author

Hess, Jonathan L, Tylee, Daniel S, Mattheisen, Manuel, Børglum, Anders D, Als, Thomas D, Grove, Jakob, Werge, Thomas, Mortensen, Preben Bo, Mors, Ole, Nordentoft, Merete, Hougaard, David M, Byberg-Grauholm, Jonas, Bækvad-Hansen, Marie, Greenwood, Tiffany A, Tsuang, Ming T, Curtis, David, Steinberg, Stacy, Sigurdsson, Engilbert, Stefánsson, Hreinn, Stefánsson, Kári, Edenberg, Howard J, Holmans, Peter, Faraone, Stephen V, and Glatt, Stephen J

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Prevention, Mental Health, Genetics, Mental Illness, Human Genome, Brain Disorders, Schizophrenia, Serious Mental Illness, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Alleles, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Risk Factors, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Based on the discovery by the Resilience Project (Chen R. et al. Nat Biotechnol 34:531-538, 2016) of rare variants that confer resistance to Mendelian disease, and protective alleles for some complex diseases, we posited the existence of genetic variants that promote resilience to highly heritable polygenic disorders1,0 such as schizophrenia. Resilience has been traditionally viewed as a psychological construct, although our use of the term resilience refers to a different construct that directly relates to the Resilience Project, namely: heritable variation that promotes resistance to disease by reducing the penetrance of risk loci, wherein resilience and risk loci operate orthogonal to one another. In this study, we established a procedure to identify unaffected individuals with relatively high polygenic risk for schizophrenia, and contrasted them with risk-matched schizophrenia cases to generate the first known "polygenic resilience score" that represents the additive contributions to SZ resistance by variants that are distinct from risk loci. The resilience score was derived from data compiled by the Psychiatric Genomics Consortium, and replicated in three independent samples. This work establishes a generalizable framework for finding resilience variants for any complex, heritable disorder.

Published
2021

14. The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia

Author

Richards, Alexander L, Pardiñas, Antonio F, Frizzati, Aura, Tansey, Katherine E, Lynham, Amy J, Holmans, Peter, Legge, Sophie E, Savage, Jeanne E, Agartz, Ingrid, Andreassen, Ole A, Blokland, Gabriella AM, Corvin, Aiden, Cosgrove, Donna, Degenhardt, Franziska, Djurovic, Srdjan, Espeseth, Thomas, Ferraro, Laura, Gayer-Anderson, Charlotte, Giegling, Ina, van Haren, Neeltje E, Hartmann, Annette M, Hubert, John J, Jönsson, Erik G, Konte, Bettina, Lennertz, Leonhard, Olde Loohuis, Loes M, Melle, Ingrid, Morgan, Craig, Morris, Derek W, Murray, Robin M, Nyman, Håkan, Ophoff, Roel A, van Os, Jim, Petryshen, Tracey L, Quattrone, Diego, Rietschel, Marcella, Rujescu, Dan, Rutten, Bart PF, Streit, Fabian, Strohmaier, Jana, Sullivan, Patrick F, Sundet, Kjetil, Wagner, Michael, Escott-Price, Valentina, Owen, Michael J, Donohoe, Gary, O’Donovan, Michael C, and Walters, James TR

Subjects
Genetics, Prevention, Schizophrenia, Depression, Behavioral and Social Science, Mental Health, Brain Disorders, Serious Mental Illness, Human Genome, 2.1 Biological and endogenous factors, Aetiology, 2.3 Psychological, social and economic factors, Mental health, Bipolar Disorder, Datasets as Topic, Depressive Disorder, Major, Educational Status, Genome-Wide Association Study, Humans, Intelligence, Multifactorial Inheritance, Psychotic Disorders, psychiatry, genomics, intelligence, bioinformatics, GROUP Investigators, EUGEI WP2 Group, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundCognitive impairment is a clinically important feature of schizophrenia. Polygenic risk score (PRS) methods have demonstrated genetic overlap between schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), educational attainment (EA), and IQ, but very few studies have examined associations between these PRS and cognitive phenotypes within schizophrenia cases.MethodsWe combined genetic and cognitive data in 3034 schizophrenia cases from 11 samples using the general intelligence factor g as the primary measure of cognition. We used linear regression to examine the association between cognition and PRS for EA, IQ, schizophrenia, BD, and MDD. The results were then meta-analyzed across all samples. A genome-wide association studies (GWAS) of cognition was conducted in schizophrenia cases.ResultsPRS for both population IQ (P = 4.39 × 10-28) and EA (P = 1.27 × 10-26) were positively correlated with cognition in those with schizophrenia. In contrast, there was no association between cognition in schizophrenia cases and PRS for schizophrenia (P = .39), BD (P = .51), or MDD (P = .49). No individual variant approached genome-wide significance in the GWAS.ConclusionsCognition in schizophrenia cases is more strongly associated with PRS that index cognitive traits in the general population than PRS for neuropsychiatric disorders. This suggests the mechanisms of cognitive variation within schizophrenia are at least partly independent from those that predispose to schizophrenia diagnosis itself. Our findings indicate that this cognitive variation arises at least in part due to genetic factors shared with cognitive performance in populations and is not solely due to illness or treatment-related factors, although our findings are consistent with important contributions from these factors.

Published
2020

15. Comparative genetic architectures of schizophrenia in East Asian and European populations

Author

Lam, Max, Chen, Chia-Yen, Li, Zhiqiang, Martin, Alicia R, Bryois, Julien, Ma, Xixian, Gaspar, Helena, Ikeda, Masashi, Benyamin, Beben, Brown, Brielin C, Liu, Ruize, Zhou, Wei, Guan, Lili, Kamatani, Yoichiro, Kim, Sung-Wan, Kubo, Michiaki, Kusumawardhani, Agung AAA, Liu, Chih-Min, Ma, Hong, Periyasamy, Sathish, Takahashi, Atsushi, Xu, Zhida, Yu, Hao, Zhu, Feng, Chen, Wei J, Faraone, Stephen, Glatt, Stephen J, He, Lin, Hyman, Steven E, Hwu, Hai-Gwo, McCarroll, Steven A, Neale, Benjamin M, Sklar, Pamela, Wildenauer, Dieter B, Yu, Xin, Zhang, Dai, Mowry, Bryan J, Lee, Jimmy, Holmans, Peter, Xu, Shuhua, Sullivan, Patrick F, Ripke, Stephan, O’Donovan, Michael C, Daly, Mark J, Qin, Shengying, Sham, Pak, Iwata, Nakao, Hong, Kyung S, Schwab, Sibylle G, Yue, Weihua, Tsuang, Ming, Liu, Jianjun, Ma, Xiancang, Kahn, René S, Shi, Yongyong, and Huang, Hailiang

Subjects
Genetics, Human Genome, Serious Mental Illness, Schizophrenia, Brain Disorders, Mental Health, Prevention, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Asian People, Case-Control Studies, Asia, Eastern, Genetics, Population, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, White People, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Indonesia Schizophrenia Consortium, Genetic REsearch on schizophreniA neTwork-China and the Netherlands, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Schizophrenia is a debilitating psychiatric disorder with approximately 1% lifetime risk globally. Large-scale schizophrenia genetic studies have reported primarily on European ancestry samples, potentially missing important biological insights. Here, we report the largest study to date of East Asian participants (22,778 schizophrenia cases and 35,362 controls), identifying 21 genome-wide-significant associations in 19 genetic loci. Common genetic variants that confer risk for schizophrenia have highly similar effects between East Asian and European ancestries (genetic correlation = 0.98 ± 0.03), indicating that the genetic basis of schizophrenia and its biology are broadly shared across populations. A fixed-effect meta-analysis including individuals from East Asian and European ancestries identified 208 significant associations in 176 genetic loci (53 novel). Trans-ancestry fine-mapping reduced the sets of candidate causal variants in 44 loci. Polygenic risk scores had reduced performance when transferred across ancestries, highlighting the importance of including sufficient samples of major ancestral groups to ensure their generalizability across populations.

Published
2019

16. Publisher Correction: Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

Author

Pardiñas, Antonio F, Holmans, Peter, Pocklington, Andrew J, Escott-Price, Valentina, Ripke, Stephan, Carrera, Noa, Legge, Sophie E, Bishop, Sophie, Cameron, Darren, Hamshere, Marian L, Han, Jun, Hubbard, Leon, Lynham, Amy, Mantripragada, Kiran, Rees, Elliott, MacCabe, James H, McCarroll, Steven A, Baune, Bernhard T, Breen, Gerome, Byrne, Enda M, Dannlowski, Udo, Eley, Thalia C, Hayward, Caroline, Martin, Nicholas G, McIntosh, Andrew M, Plomin, Robert, Porteous, David J, Wray, Naomi R, Caballero, Armando, Geschwind, Daniel H, Huckins, Laura M, Ruderfer, Douglas M, Santiago, Enrique, Sklar, Pamela, Stahl, Eli A, Won, Hyejung, Agerbo, Esben, Als, Thomas D, Andreassen, Ole A, Bækvad-Hansen, Marie, Mortensen, Preben Bo, Pedersen, Carsten Bøcker, Børglum, Anders D, Bybjerg-Grauholm, Jonas, Djurovic, Srdjan, Durmishi, Naser, Pedersen, Marianne Giørtz, Golimbet, Vera, Grove, Jakob, Hougaard, David M, Mattheisen, Manuel, Molden, Espen, Mors, Ole, Nordentoft, Merete, Pejovic-Milovancevic, Milica, Sigurdsson, Engilbert, Silagadze, Teimuraz, Hansen, Christine Søholm, Stefansson, Kari, Stefansson, Hreinn, Steinberg, Stacy, Tosato, Sarah, Werge, Thomas, Collier, David A, Rujescu, Dan, Kirov, George, Owen, Michael J, O’Donovan, Michael C, and Walters, James TR

Subjects
GERAD1 Consortium, CRESTAR Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019

17. Genome-wide association study identifies 30 loci associated with bipolar disorder

Author

Stahl, Eli A, Breen, Gerome, Forstner, Andreas J, McQuillin, Andrew, Ripke, Stephan, Trubetskoy, Vassily, Mattheisen, Manuel, Wang, Yunpeng, Coleman, Jonathan RI, Gaspar, Héléna A, de Leeuw, Christiaan A, Steinberg, Stacy, Pavlides, Jennifer M Whitehead, Trzaskowski, Maciej, Byrne, Enda M, Pers, Tune H, Holmans, Peter A, Richards, Alexander L, Abbott, Liam, Agerbo, Esben, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D, Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A, Bækvad-Hansen, Marie, Barchas, Jack D, Bass, Nicholas, Bauer, Michael, Belliveau, Richard, Bergen, Sarah E, Pedersen, Carsten Bøcker, Bøen, Erlend, Boks, Marco P, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Bybjerg-Grauholm, Jonas, Byerley, William, Casas, Miquel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W, Chen, Danfeng, Churchhouse, Claire, Clarke, Toni-Kim, Coryell, William, Craig, David W, Cruceanu, Cristiana, Curtis, David, Czerski, Piotr M, Dale, Anders M, de Jong, Simone, Degenhardt, Franziska, Del-Favero, Jurgen, DePaulo, J Raymond, Djurovic, Srdjan, Dobbyn, Amanda L, Dumont, Ashley, Elvsåshagen, Torbjørn, Escott-Price, Valentina, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forty, Liz, Frank, Josef, Fraser, Christine, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartolomei, Claudia, Pedersen, Marianne Giørtz, Goldstein, Jaqueline, Gordon, Scott D, Gordon-Smith, Katherine, Green, Elaine K, Green, Melissa J, Greenwood, Tiffany A, Grove, Jakob, Guan, Weihua, Guzman-Parra, José, Hamshere, Marian L, Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, and Juréus, Anders

Subjects
Biological Sciences, Genetics, Mental Health, Mental Illness, Human Genome, Biotechnology, Bipolar Disorder, Brain Disorders, Schizophrenia, Serious Mental Illness, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Mental health, Case-Control Studies, Depressive Disorder, Major, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Psychotic Disorders, Systems Biology, eQTLGen Consortium, BIOS Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P

Published
2019

18. The endocytic membrane trafficking pathway plays a major role in the risk of Parkinson's disease

Author

Bandres‐Ciga, Sara, Saez‐Atienzar, Sara, Bonet‐Ponce, Luis, Billingsley, Kimberley, Vitale, Dan, Blauwendraat, Cornelis, Gibbs, Jesse Raphael, Pihlstrøm, Lasse, Gan‐Or, Ziv, Noyce, Alastair J, Kaiyrzhanov, Rauan, Middlehurst, Ben, Kia, Demis A, Tan, Manuela, Houlden, Henry, Morris, Huw R, Plun‐Favreau, Helene, Holmans, Peter, Hardy, John, Trabzuni, Daniah, Bras, Jose, Quinn, John, Mok, Kin Y, Kinghorn, Kerri J, Wood, Nicholas W, Lewis, Patrick, Schreglmann, Sebastian, Guerreiro, Rita, Lovering, Ruth, RņBibo, Lea, Manzoni, Claudia, Rizig, Mie, Ryten, Mina, Guelfi, Sebastian, Escott‐Price, Valentina, Chelban, Viorica, Foltynie, Thomas, Williams, Nigel, Morrison, Karen E, Brice, Alexis, Danjou, Fabrice, Lesage, Suzanne, Corvol, Jean‐Christophe, Martinez, Maria, Schulte, Claudia, Brockmann, Kathrin, SimɃn‐Sȥnchez, Javier, Heutink, Peter, Rizzu, Patrizia, Sharma, Manu, Gasser, Thomas, Nicolas, Aude, Cookson, Mark R, Craig, David W, Faghri, Faraz, Gibbs, J Raphael, Hernandez, Dena G, Van Keuren‐Jensen, Kendall, Shulman, Joshua M, Iwaki, Hirotaka, Leonard, Hampton L, Nalls, Mike A, Robak, Laurie, Lubbe, Steven, Finkbeiner, Steven, Mencacci, Niccolo E, Lungu, Codrin, Singleton, Andrew B, Scholz, Sonja W, Reed, Xylena, Alcalay, Roy N, Rouleau, Guy A, Hilten, Jacobus J, Marinus, Johan, Adarmes‐GɃmez, Astrid D, Aguilar, Miquel, Alvarez, Ignacio, Alvarez, Victoria, Barrero, Francisco Javier, Yarza, Jesɐs Alberto Bergareche, Bernal‐Bernal, Inmaculada, Blazquez, Marta, Bonilla‐Toribio, Marta, Botȷa, Juan A, Boungiorno, Marȷa Teresa, Buiza‐Rueda, Dolores, Cȥmara, Ana, Carrillo, Fȥtima, CarriɃn‐Claro, Mario, Cerdan, Debora, ClarimɃn, Jordi, Compta, Yaroslau, Casa, Beatrȷz, Diez‐Fairen, Monica, Dols‐Icardo, Oriol, and Duarte, Jacinto

Subjects
Parkinson's Disease, Human Genome, Genetics, Neurosciences, Brain Disorders, Prevention, Neurodegenerative, Genetic Testing, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Aetiology, Decent Work and Economic Growth, Endocytosis, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Parkinson Disease, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, International Parkinson's Disease Genomics Consortium, Parkinson's disease, endocytosis, genetic risk, heritability, polygenic risk score, Clinical Sciences, Human Movement and Sports Sciences, Neurology & Neurosurgery
Abstract

BackgroundPD is a complex polygenic disorder. In recent years, several genes from the endocytic membrane-trafficking pathway have been suggested to contribute to disease etiology. However, a systematic analysis of pathway-specific genetic risk factors is yet to be performed.ObjectivesTo comprehensively study the role of the endocytic membrane-trafficking pathway in the risk of PD.MethodsLinkage disequilibrium score regression was used to estimate PD heritability explained by 252 genes involved in the endocytic membrane-trafficking pathway including genome-wide association studies data from 18,869 cases and 22,452 controls. We used pathway-specific single-nucleotide polymorphisms to construct a polygenic risk score reflecting the cumulative risk of common variants. To prioritize genes for follow-up functional studies, summary-data based Mendelian randomization analyses were applied to explore possible functional genomic associations with expression or methylation quantitative trait loci.ResultsThe heritability estimate attributed to endocytic membrane-trafficking pathway was 3.58% (standard error = 1.17). Excluding previously nominated PD endocytic membrane-trafficking pathway genes, the missing heritability was 2.21% (standard error = 0.42). Random heritability simulations were estimated to be 1.44% (standard deviation = 0.54), indicating that the unbiased total heritability explained by the endocytic membrane-trafficking pathway was 2.14%. Polygenic risk score based on endocytic membrane-trafficking pathway showed a 1.25 times increase of PD risk per standard deviation of genetic risk. Finally, Mendelian randomization identified 11 endocytic membrane-trafficking pathway genes showing functional consequence associated to PD risk.ConclusionsWe provide compelling genetic evidence that the endocytic membrane-trafficking pathway plays a relevant role in disease etiology. Further research on this pathway is warranted given that critical effort should be made to identify potential avenues within this biological process suitable for therapeutic interventions. © 2019 International Parkinson and Movement Disorder Society.

Published
2019

19. Population‐based identity‐by‐descent mapping combined with exome sequencing to detect rare risk variants for schizophrenia

Author

Harold, Denise, Connolly, Siobhan, Riley, Brien P, Kendler, Kenneth S, McCarthy, Shane E, McCombie, William R, Richards, Alex, Owen, Michael J, O'Donovan, Michael C, Walters, James, Donnelly, Peter, Bates, Lesley, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin NA, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris CA, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Hopkins, Lucinda, Pirinen, Matti, Pearson, Richard, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, Whittaker, Pamela, Ripke, Stephan, Neale, Benjamin M, Walters, James TR, Farh, Kai‐How, Holmans, Peter A, Lee, Phil, Bulik‐Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberley D, Chan, Raymond CK, and Chan, Ronald YL

Subjects
Biological Sciences, Genetics, Clinical Research, Schizophrenia, Brain Disorders, Human Genome, Prevention, Serious Mental Illness, Mental Health, Aetiology, 2.1 Biological and endogenous factors, Adult, Case-Control Studies, Chromosome Mapping, DNA Copy Number Variations, Databases, Genetic, Exome, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Haplotypes, Humans, Male, Middle Aged, Risk Factors, Sequence Analysis, DNA, Exome Sequencing, GWAS, IBD mapping, rare variants, Wellcome Trust Case Control Consortium 2, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Clinical Sciences, Neurosciences, Clinical sciences
Abstract

Genome-wide association studies (GWASs) are highly effective at identifying common risk variants for schizophrenia. Rare risk variants are also important contributors to schizophrenia etiology but, with the exception of large copy number variants, are difficult to detect with GWAS. Exome and genome sequencing, which have accelerated the study of rare variants, are expensive so alternative methods are needed to aid detection of rare variants. Here we re-analyze an Irish schizophrenia GWAS dataset (n = 3,473) by performing identity-by-descent (IBD) mapping followed by exome sequencing of individuals identified as sharing risk haplotypes to search for rare risk variants in coding regions. We identified 45 rare haplotypes (>1 cM) that were significantly more common in cases than controls. By exome sequencing 105 haplotype carriers, we investigated these haplotypes for functional coding variants that could be tested for association in independent GWAS samples. We identified one rare missense variant in PCNT but did not find statistical support for an association with schizophrenia in a replication analysis. However, IBD mapping can prioritize both individual samples and genomic regions for follow-up analysis but genome rather than exome sequencing may be more effective at detecting risk variants on rare haplotypes.

Published
2019

20. Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Author

Trubetskoy, Vassily, Pardiñas, Antonio F., Qi, Ting, Panagiotaropoulou, Georgia, Awasthi, Swapnil, Bigdeli, Tim B., Bryois, Julien, Chen, Chia-Yen, Dennison, Charlotte A., Hall, Lynsey S., Lam, Max, Watanabe, Kyoko, Frei, Oleksandr, Ge, Tian, Harwood, Janet C., Koopmans, Frank, Magnusson, Sigurdur, Richards, Alexander L., Sidorenko, Julia, Wu, Yang, Zeng, Jian, Grove, Jakob, Kim, Minsoo, Li, Zhiqiang, Voloudakis, Georgios, Zhang, Wen, Adams, Mark, Agartz, Ingrid, Atkinson, Elizabeth G., Agerbo, Esben, Al Eissa, Mariam, Albus, Margot, Alexander, Madeline, Alizadeh, Behrooz Z., Alptekin, Köksal, Als, Thomas D., Amin, Farooq, Arolt, Volker, Arrojo, Manuel, Athanasiu, Lavinia, Azevedo, Maria Helena, Bacanu, Silviu A., Bass, Nicholas J., Begemann, Martin, Belliveau, Richard A., Bene, Judit, Benyamin, Beben, Bergen, Sarah E., Blasi, Giuseppe, Bobes, Julio, Bonassi, Stefano, Braun, Alice, Bressan, Rodrigo Affonseca, Bromet, Evelyn J., Bruggeman, Richard, Buckley, Peter F., Buckner, Randy L., Bybjerg-Grauholm, Jonas, Cahn, Wiepke, Cairns, Murray J., Calkins, Monica E., Carr, Vaughan J., Castle, David, Catts, Stanley V., Chambert, Kimberley D., Chan, Raymond C. K., Chaumette, Boris, Cheng, Wei, Cheung, Eric F. C., Chong, Siow Ann, Cohen, David, Consoli, Angèle, Cordeiro, Quirino, Costas, Javier, Curtis, Charles, Davidson, Michael, Davis, Kenneth L., de Haan, Lieuwe, Degenhardt, Franziska, DeLisi, Lynn E., Demontis, Ditte, Dickerson, Faith, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Duan, Jubao, Ducci, Giuseppe, Dudbridge, Frank, Eriksson, Johan G., Fañanás, Lourdes, Faraone, Stephen V., Fiorentino, Alessia, Forstner, Andreas, Frank, Josef, Freimer, Nelson B., Fromer, Menachem, Frustaci, Alessandra, Gadelha, Ary, Genovese, Giulio, Gershon, Elliot S., Giannitelli, Marianna, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I., González Peñas, Javier, González-Pinto, Ana, Gopal, Srihari, Gratten, Jacob, Green, Michael F., Greenwood, Tiffany A., Guillin, Olivier, Gülöksüz, Sinan, Gur, Raquel E., Gur, Ruben C., Gutiérrez, Blanca, Hahn, Eric, Hakonarson, Hakon, Haroutunian, Vahram, Hartmann, Annette M., Harvey, Carol, Hayward, Caroline, Henskens, Frans A., Herms, Stefan, Hoffmann, Per, Howrigan, Daniel P., Ikeda, Masashi, Iyegbe, Conrad, Joa, Inge, Julià, Antonio, Kähler, Anna K., Kam-Thong, Tony, Kamatani, Yoichiro, Karachanak-Yankova, Sena, Kebir, Oussama, Keller, Matthew C., Kelly, Brian J., Khrunin, Andrey, Kim, Sung-Wan, Klovins, Janis, Kondratiev, Nikolay, Konte, Bettina, Kraft, Julia, Kubo, Michiaki, Kučinskas, Vaidutis, Kučinskiene, Zita Ausrele, Kusumawardhani, Agung, Kuzelova-Ptackova, Hana, Landi, Stefano, Lazzeroni, Laura C., Lee, Phil H., Legge, Sophie E., Lehrer, Douglas S., Lencer, Rebecca, Lerer, Bernard, Li, Miaoxin, Lieberman, Jeffrey, Light, Gregory A., Limborska, Svetlana, Liu, Chih-Min, Lönnqvist, Jouko, Loughland, Carmel M., Lubinski, Jan, Luykx, Jurjen J., Lynham, Amy, Macek, Jr, Milan, Mackinnon, Andrew, Magnusson, Patrik K. E., Maher, Brion S., Maier, Wolfgang, Malaspina, Dolores, Mallet, Jacques, Marder, Stephen R., Marsal, Sara, Martin, Alicia R., Martorell, Lourdes, Mattheisen, Manuel, McCarley, Robert W., McDonald, Colm, McGrath, John J., Medeiros, Helena, Meier, Sandra, Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I., Metspalu, Andres, Michie, Patricia T., Milani, Lili, Milanova, Vihra, Mitjans, Marina, Molden, Espen, Molina, Esther, Molto, María Dolores, Mondelli, Valeria, Moreno, Carmen, Morley, Christopher P., Muntané, Gerard, Murphy, Kieran C., Myin-Germeys, Inez, Nenadić, Igor, Nestadt, Gerald, Nikitina-Zake, Liene, Noto, Cristiano, Nuechterlein, Keith H., O’Brien, Niamh Louise, O’Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Ota, Vanessa Kiyomi, Pantelis, Christos, Papadimitriou, George N., Parellada, Mara, Paunio, Tiina, Pellegrino, Renata, Periyasamy, Sathish, Perkins, Diana O., Pfuhlmann, Bruno, Pietiläinen, Olli, Pimm, Jonathan, Porteous, David, Powell, John, Quattrone, Diego, Quested, Digby, Radant, Allen D., Rampino, Antonio, Rapaport, Mark H., Rautanen, Anna, Reichenberg, Abraham, Roe, Cheryl, Roffman, Joshua L., Roth, Julian, Rothermundt, Matthias, Rutten, Bart P. F., Saker-Delye, Safaa, Salomaa, Veikko, Sanjuan, Julio, Santoro, Marcos Leite, Savitz, Adam, Schall, Ulrich, Scott, Rodney J., Seidman, Larry J., Sharp, Sally Isabel, Shi, Jianxin, Siever, Larry J., Sigurdsson, Engilbert, Sim, Kang, Skarabis, Nora, Slominsky, Petr, So, Hon-Cheong, Sobell, Janet L., Söderman, Erik, Stain, Helen J., Steen, Nils Eiel, Steixner-Kumar, Agnes A., Stögmann, Elisabeth, Stone, William S., Straub, Richard E., Streit, Fabian, Strengman, Eric, Stroup, T. Scott, Subramaniam, Mythily, Sugar, Catherine A., Suvisaari, Jaana, Svrakic, Dragan M., Swerdlow, Neal R., Szatkiewicz, Jin P., Ta, Thi Minh Tam, Takahashi, Atsushi, Terao, Chikashi, Thibaut, Florence, Toncheva, Draga, Tooney, Paul A., Torretta, Silvia, Tosato, Sarah, Tura, Gian Battista, Turetsky, Bruce I., Üçok, Alp, Vaaler, Arne, van Amelsvoort, Therese, van Winkel, Ruud, Veijola, Juha, Waddington, John, Walter, Henrik, Waterreus, Anna, Webb, Bradley T., Weiser, Mark, Williams, Nigel M., Witt, Stephanie H., Wormley, Brandon K., Wu, Jing Qin, Xu, Zhida, Yolken, Robert, Zai, Clement C., Zhou, Wei, Zhu, Feng, Zimprich, Fritz, Atbaşoğlu, Eşref Cem, Ayub, Muhammad, Benner, Christian, Bertolino, Alessandro, Black, Donald W., Bray, Nicholas J., Breen, Gerome, Buccola, Nancy G., Byerley, William F., Chen, Wei J., Cloninger, C. Robert, Crespo-Facorro, Benedicto, Donohoe, Gary, Freedman, Robert, Galletly, Cherrie, Gandal, Michael J., Gennarelli, Massimo, Hougaard, David M., Hwu, Hai-Gwo, Jablensky, Assen V., McCarroll, Steven A., Moran, Jennifer L., Mors, Ole, Mortensen, Preben B., Müller-Myhsok, Bertram, Neil, Amanda L., Nordentoft, Merete, Pato, Michele T., Petryshen, Tracey L., Pirinen, Matti, Pulver, Ann E., Schulze, Thomas G., Silverman, Jeremy M., Smoller, Jordan W., Stahl, Eli A., Tsuang, Debby W., Vilella, Elisabet, Wang, Shi-Heng, Xu, Shuhua, Adolfsson, Rolf, Arango, Celso, Baune, Bernhard T., Belangero, Sintia Iole, Børglum, Anders D., Braff, David, Bramon, Elvira, Buxbaum, Joseph D., Campion, Dominique, Cervilla, Jorge A., Cichon, Sven, Collier, David A., Corvin, Aiden, Curtis, David, Forti, Marta Di, Domenici, Enrico, Ehrenreich, Hannelore, Escott-Price, Valentina, Esko, Tõnu, Fanous, Ayman H., Gareeva, Anna, Gawlik, Micha, Gejman, Pablo V., Gill, Michael, Glatt, Stephen J., Golimbet, Vera, Hong, Kyung Sue, Hultman, Christina M., Hyman, Steven E., Iwata, Nakao, Jönsson, Erik G., Kahn, René S., Kennedy, James L., Khusnutdinova, Elza, Kirov, George, Knowles, James A., Krebs, Marie-Odile, Laurent-Levinson, Claudine, Lee, Jimmy, Lencz, Todd, Levinson, Douglas F., Li, Qingqin S., Liu, Jianjun, Malhotra, Anil K., Malhotra, Dheeraj, McIntosh, Andrew, McQuillin, Andrew, Menezes, Paulo R., Morgan, Vera A., Morris, Derek W., Mowry, Bryan J., Murray, Robin M., Nimgaonkar, Vishwajit, Nöthen, Markus M., Ophoff, Roel A., Paciga, Sara A., Palotie, Aarno, Pato, Carlos N., Qin, Shengying, Rietschel, Marcella, Riley, Brien P., Rivera, Margarita, Rujescu, Dan, Saka, Meram C., Sanders, Alan R., Schwab, Sibylle G., Serretti, Alessandro, Sham, Pak C., Shi, Yongyong, St Clair, David, Stefánsson, Hreinn, Stefansson, Kari, Tsuang, Ming T., van Os, Jim, Vawter, Marquis P., Weinberger, Daniel R., Werge, Thomas, Wildenauer, Dieter B., Yu, Xin, Yue, Weihua, Holmans, Peter A., Pocklington, Andrew J., Roussos, Panos, Vassos, Evangelos, Verhage, Matthijs, Visscher, Peter M., Yang, Jian, Posthuma, Danielle, Andreassen, Ole A., Kendler, Kenneth S., Owen, Michael J., Wray, Naomi R., Daly, Mark J., Huang, Hailiang, Neale, Benjamin M., Sullivan, Patrick F., Ripke, Stephan, Walters, James T. R., and O’Donovan, Michael C.

Published
2022
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21. Genetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes

Author

Drange, Ole Kristian, Smeland, Olav Bjerkehagen, Shadrin, Alexey A, Finseth, Per Ivar, Witoelar, Aree, Frei, Oleksandr, Group, Psychiatric Genomics Consortium Bipolar Disorder Working, Wang, Yunpeng, Hassani, Sahar, Djurovic, Srdjan, Dale, Anders M, Andreassen, Ole A, Stahl, Eli A, Breen, Gerome, Forstner, Andreas J, McQuillin, Andrew, Ripke, Stephan, Trubetskoy, Vassily, Mattheisen, Manuel, Coleman, Jonathan RI, Gaspar, Heìleìna A, de Leeuw, Christiaan A, Steinberg, Stacy, Pavlides, Jennifer M Whitehead, Trzaskowski, Maciej, Pers, Tune H, Holmans, Peter A, Abbott, Liam, Agerbo, Esben, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D, Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A, Bækvad-Hansen, Marie, Barchas, Jack D, Bass, Nicholas, Bauer, Michael, Belliveau, Richard, Bergen, Sarah E, Pedersen, Carsten Bøcker, Bøen, Erlend, Boks, Marco, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Bybjerg-Grauholm, Jonas, Byerley, William, Casas, Miquel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W, Chen, Danfeng, Churchhouse, Claire, Clarke, Toni-Kim, Coryell, William, Craig, David W, Cruceanu, Cristiana, Curtis, David, Czerski, Piotr M, de Jong, Simone, Degenhardt, Franziska, Del-Favero, Jurgen, DePaulo, J Raymond, Dobbyn, Amanda L, Dumont, Ashley, Elvsåshagen, Torbjørn, Escott-Price, Valentina, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forty, Liz, Frank, Josef, Fraser, Christine, Freimer, Nelson B, Friseìn, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartolomei, Claudia, Pedersen, Marianne Giørtz, Goldstein, Jaqueline, Gordon, Scott D, Gordon-Smith, Katherine, Green, Elaine K, Green, Melissa J, Greenwood, Tiffany A, Grove, Jakob, Guan, Weihua, Parra, Joseì Guzman, and Hamshere, Marian L

Subjects
Biotechnology, Neurosciences, Acquired Cognitive Impairment, Human Genome, Aging, Genetics, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Neurodegenerative, Alzheimer's Disease, Aetiology, 2.1 Biological and endogenous factors, Alzheimer's disease, bipolar disorder, GWAS, pleiotropy, cognitive symptoms, affective symptoms, MARK2, VAC14, Psychiatric Genomics Consortium Bipolar Disorder Working Group, Alzheimer’s disease, Psychology, Cognitive Sciences
Abstract

Background: Alzheimer's disease (AD) and bipolar disorder (BIP) are complex traits influenced by numerous common genetic variants, most of which remain to be detected. Clinical and epidemiological evidence suggest that AD and BIP are related. However, it is not established if this relation is of genetic origin. Here, we applied statistical methods based on the conditional false discovery rate (FDR) framework to detect genetic overlap between AD and BIP and utilized this overlap to increase the power to identify common genetic variants associated with either or both traits. Methods: We obtained genome wide association studies data from the International Genomics of Alzheimer's Project part 1 (17,008 AD cases and 37,154 controls) and the Psychiatric Genetic Consortium Bipolar Disorder Working Group (20,352 BIP cases and 31,358 controls). We used conditional QQ-plots to assess overlap in common genetic variants between AD and BIP. We exploited the genetic overlap to re-rank test-statistics for AD and BIP and improve detection of genetic variants using the conditional FDR framework. Results: Conditional QQ-plots demonstrated a polygenic overlap between AD and BIP. Using conditional FDR, we identified one novel genomic locus associated with AD, and nine novel loci associated with BIP. Further, we identified two novel loci jointly associated with AD and BIP implicating the MARK2 gene (lead SNP rs10792421, conjunctional FDR = 0.030, same direction of effect) and the VAC14 gene (lead SNP rs11649476, conjunctional FDR = 0.022, opposite direction of effect). Conclusion: We found polygenic overlap between AD and BIP and identified novel loci for each trait and two jointly associated loci. Further studies should examine if the shared loci implicating the MARK2 and VAC14 genes could explain parts of the shared and distinct features of AD and BIP.

Published
2019

22. Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

Author

Pardiñas, Antonio F, Holmans, Peter, Pocklington, Andrew J, Escott-Price, Valentina, Ripke, Stephan, Carrera, Noa, Legge, Sophie E, Bishop, Sophie, Cameron, Darren, Hamshere, Marian L, Han, Jun, Hubbard, Leon, Lynham, Amy, Mantripragada, Kiran, Rees, Elliott, MacCabe, James H, McCarroll, Steven A, Baune, Bernhard T, Breen, Gerome, Byrne, Enda M, Dannlowski, Udo, Eley, Thalia C, Hayward, Caroline, Martin, Nicholas G, McIntosh, Andrew M, Plomin, Robert, Porteous, David J, Wray, Naomi R, Caballero, Armando, Geschwind, Daniel H, Huckins, Laura M, Ruderfer, Douglas M, Santiago, Enrique, Sklar, Pamela, Stahl, Eli A, Won, Hyejung, Agerbo, Esben, Als, Thomas D, Andreassen, Ole A, Bækvad-Hansen, Marie, Mortensen, Preben Bo, Pedersen, Carsten Bøcker, Børglum, Anders D, Bybjerg-Grauholm, Jonas, Djurovic, Srdjan, Durmishi, Naser, Pedersen, Marianne Giørtz, Golimbet, Vera, Grove, Jakob, Hougaard, David M, Mattheisen, Manuel, Molden, Espen, Mors, Ole, Nordentoft, Merete, Pejovic-Milovancevic, Milica, Sigurdsson, Engilbert, Silagadze, Teimuraz, Hansen, Christine Søholm, Stefansson, Kari, Stefansson, Hreinn, Steinberg, Stacy, Tosato, Sarah, Werge, Thomas, GERAD1 Consortium, CRESTAR Consortium, Collier, David A, Rujescu, Dan, Kirov, George, Owen, Michael J, O’Donovan, Michael C, and Walters, James TR

Subjects
Serious Mental Illness, Brain Disorders, Human Genome, Genetics, Mental Health, Biotechnology, Schizophrenia, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Alleles, Case-Control Studies, Gene Frequency, Genes, Lethal, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inheritance Patterns, Polymorphism, Single Nucleotide, Selection, Genetic, GERAD1 Consortium, CRESTAR Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Schizophrenia is a debilitating psychiatric condition often associated with poor quality of life and decreased life expectancy. Lack of progress in improving treatment outcomes has been attributed to limited knowledge of the underlying biology, although large-scale genomic studies have begun to provide insights. We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci. We also show for the first time that the common variant association signal is highly enriched among genes that are under strong selective pressures. These findings provide new insights into the biology and genetic architecture of schizophrenia, highlight the importance of mutation-intolerant genes and suggest a mechanism by which common risk variants persist in the population.

Published
2018

24. Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia.

Author

Witt, SH, Streit, F, Jungkunz, M, Frank, J, Awasthi, S, Reinbold, CS, Treutlein, J, Degenhardt, F, Forstner, AJ, Heilmann-Heimbach, S, Dietl, L, Schwarze, CE, Schendel, D, Strohmaier, J, Abdellaoui, A, Adolfsson, R, Air, TM, Akil, H, Alda, M, Alliey-Rodriguez, N, Andreassen, OA, Babadjanova, G, Bass, NJ, Bauer, M, Baune, BT, Bellivier, F, Bergen, S, Bethell, A, Biernacka, JM, Blackwood, DHR, Boks, MP, Boomsma, DI, Børglum, AD, Borrmann-Hassenbach, M, Brennan, P, Budde, M, Buttenschøn, HN, Byrne, EM, Cervantes, P, Clarke, T-K, Craddock, N, Cruceanu, C, Curtis, D, Czerski, PM, Dannlowski, U, Davis, T, de Geus, EJC, Di Florio, A, Djurovic, S, Domenici, E, Edenberg, HJ, Etain, B, Fischer, SB, Forty, L, Fraser, C, Frye, MA, Fullerton, JM, Gade, K, Gershon, ES, Giegling, I, Gordon, SD, Gordon-Smith, K, Grabe, HJ, Green, EK, Greenwood, TA, Grigoroiu-Serbanescu, M, Guzman-Parra, J, Hall, LS, Hamshere, M, Hauser, J, Hautzinger, M, Heilbronner, U, Herms, S, Hitturlingappa, S, Hoffmann, P, Holmans, P, Hottenga, J-J, Jamain, S, Jones, I, Jones, LA, Juréus, A, Kahn, RS, Kammerer-Ciernioch, J, Kirov, G, Kittel-Schneider, S, Kloiber, S, Knott, SV, Kogevinas, M, Landén, M, Leber, M, Leboyer, M, Li, QS, Lissowska, J, Lucae, S, Martin, NG, Mayoral-Cleries, F, McElroy, SL, McIntosh, AM, McKay, JD, and McQuillin, A

Subjects
Bipolar Disorders Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Humans, Genetic Predisposition to Disease, Case-Control Studies, Bipolar Disorder, Depressive Disorder, Major, Borderline Personality Disorder, Schizophrenia, Genotype, Multifactorial Inheritance, Adolescent, Adult, Aged, Middle Aged, Female, Male, Genome-Wide Association Study, Young Adult, Depressive Disorder, Major, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Borderline personality disorder (BOR) is determined by environmental and genetic factors, and characterized by affective instability and impulsivity, diagnostic symptoms also observed in manic phases of bipolar disorder (BIP). Up to 20% of BIP patients show comorbidity with BOR. This report describes the first case-control genome-wide association study (GWAS) of BOR, performed in one of the largest BOR patient samples worldwide. The focus of our analysis was (i) to detect genes and gene sets involved in BOR and (ii) to investigate the genetic overlap with BIP. As there is considerable genetic overlap between BIP, major depression (MDD) and schizophrenia (SCZ) and a high comorbidity of BOR and MDD, we also analyzed the genetic overlap of BOR with SCZ and MDD. GWAS, gene-based tests and gene-set analyses were performed in 998 BOR patients and 1545 controls. Linkage disequilibrium score regression was used to detect the genetic overlap between BOR and these disorders. Single marker analysis revealed no significant association after correction for multiple testing. Gene-based analysis yielded two significant genes: DPYD (P=4.42 × 10-7) and PKP4 (P=8.67 × 10-7); and gene-set analysis yielded a significant finding for exocytosis (GO:0006887, PFDR=0.019; FDR, false discovery rate). Prior studies have implicated DPYD, PKP4 and exocytosis in BIP and SCZ. The most notable finding of the present study was the genetic overlap of BOR with BIP (rg=0.28 [P=2.99 × 10-3]), SCZ (rg=0.34 [P=4.37 × 10-5]) and MDD (rg=0.57 [P=1.04 × 10-3]). We believe our study is the first to demonstrate that BOR overlaps with BIP, MDD and SCZ on the genetic level. Whether this is confined to transdiagnostic clinical symptoms should be examined in future studies.

Published
2017

25. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Author

Marshall, Christian R, Howrigan, Daniel P, Merico, Daniele, Thiruvahindrapuram, Bhooma, Wu, Wenting, Greer, Douglas S, Antaki, Danny, Shetty, Aniket, Holmans, Peter A, Pinto, Dalila, Gujral, Madhusudan, Brandler, William M, Malhotra, Dheeraj, Wang, Zhouzhi, Fajarado, Karin V Fuentes, Maile, Michelle S, Ripke, Stephan, Agartz, Ingrid, Albus, Margot, Alexander, Madeline, Amin, Farooq, Atkins, Joshua, Bacanu, Silviu A, Belliveau, Richard A, Bergen, Sarah E, Bertalan, Marcelo, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Bulik-Sullivan, Brendan, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Cairns, Murray J, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberley D, Cheng, Wei, Cloninger, C Robert, Cohen, David, Cormican, Paul, Craddock, Nick, Crespo-Facorro, Benedicto, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, DeLisi, Lynn E, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farh, Kai-How, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedman, Joseph I, Forstner, Andreas J, Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Gershon, Elliot S, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Gratten, Jacob, de Haan, Lieuwe, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M, Henskens, Frans A, Herms, Stefan, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Huang, Hailiang, Ikeda, Masashi, Joa, Inge, and Kähler, Anna K

Subjects
Serious Mental Illness, Human Genome, Schizophrenia, Genetics, Biotechnology, Prevention, Mental Health, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Mental health, Case-Control Studies, DNA Copy Number Variations, Female, Genetic Loci, Genetic Markers, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Risk Factors, Psychosis Endophenotypes International Consortium, CNV and Schizophrenia Working Groups of the Psychiatric Genomics Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Copy number variants (CNVs) have been strongly implicated in the genetic etiology of schizophrenia (SCZ). However, genome-wide investigation of the contribution of CNV to risk has been hampered by limited sample sizes. We sought to address this obstacle by applying a centralized analysis pipeline to a SCZ cohort of 21,094 cases and 20,227 controls. A global enrichment of CNV burden was observed in cases (odds ratio (OR) = 1.11, P = 5.7 × 10-15), which persisted after excluding loci implicated in previous studies (OR = 1.07, P = 1.7 × 10-6). CNV burden was enriched for genes associated with synaptic function (OR = 1.68, P = 2.8 × 10-11) and neurobehavioral phenotypes in mouse (OR = 1.18, P = 7.3 × 10-5). Genome-wide significant evidence was obtained for eight loci, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.2, 15q13.3, distal 16p11.2, proximal 16p11.2 and 22q11.2. Suggestive support was found for eight additional candidate susceptibility and protective loci, which consisted predominantly of CNVs mediated by nonallelic homologous recombination.

Published
2017

26. Psychiatric gene discoveries shape evidence on ADHD’s biology

Author

Thapar, A, Martin, J, Mick, E, Arias Vásquez, A, Langley, K, Scherer, SW, Schachar, R, Crosbie, J, Williams, N, Franke, B, Elia, J, Glessner, J, Hakonarson, H, Owen, MJ, Faraone, SV, O'Donovan, MC, and Holmans, P

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Pediatric, Neurosciences, Attention Deficit Hyperactivity Disorder (ADHD), Autism, Biotechnology, Genetics, Schizophrenia, Brain Disorders, Mental Health, Human Genome, Intellectual and Developmental Disabilities (IDD), 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Adolescent, Attention Deficit Disorder with Hyperactivity, Autistic Disorder, Biological Psychiatry, Canada, Child, Child, Preschool, DNA Copy Number Variations, Databases, Nucleic Acid, Europe, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Ireland, Male, Neurodevelopmental Disorders, Polymorphism, Single Nucleotide, United Kingdom, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

A strong motivation for undertaking psychiatric gene discovery studies is to provide novel insights into unknown biology. Although attention-deficit hyperactivity disorder (ADHD) is highly heritable, and large, rare copy number variants (CNVs) contribute to risk, little is known about its pathogenesis and it remains commonly misunderstood. We assembled and pooled five ADHD and control CNV data sets from the United Kingdom, Ireland, United States of America, Northern Europe and Canada. Our aim was to test for enrichment of neurodevelopmental gene sets, implicated by recent exome-sequencing studies of (a) schizophrenia and (b) autism as a means of testing the hypothesis that common pathogenic mechanisms underlie ADHD and these other neurodevelopmental disorders. We also undertook hypothesis-free testing of all biological pathways. We observed significant enrichment of individual genes previously found to harbour schizophrenia de novo non-synonymous single-nucleotide variants (SNVs; P=5.4 × 10(-4)) and targets of the Fragile X mental retardation protein (P=0.0018). No enrichment was observed for activity-regulated cytoskeleton-associated protein (P=0.23) or N-methyl-D-aspartate receptor (P=0.74) post-synaptic signalling gene sets previously implicated in schizophrenia. Enrichment of ADHD CNV hits for genes impacted by autism de novo SNVs (P=0.019 for non-synonymous SNV genes) did not survive Bonferroni correction. Hypothesis-free testing yielded several highly significantly enriched biological pathways, including ion channel pathways. Enrichment findings were robust to multiple testing corrections and to sensitivity analyses that excluded the most significant sample. The findings reveal that CNVs in ADHD converge on biologically meaningful gene clusters, including ones now established as conferring risk of other neurodevelopmental disorders.

Published
2016

27. Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders

Author

Singh, Tarjinder, Kurki, Mitja I, Curtis, David, Purcell, Shaun M, Crooks, Lucy, McRae, Jeremy, Suvisaari, Jaana, Chheda, Himanshu, Blackwood, Douglas, Breen, Gerome, Pietiläinen, Olli, Gerety, Sebastian S, Ayub, Muhammad, Blyth, Moira, Cole, Trevor, Collier, David, Coomber, Eve L, Craddock, Nick, Daly, Mark J, Danesh, John, DiForti, Marta, Foster, Alison, Freimer, Nelson B, Geschwind, Daniel, Johnstone, Mandy, Joss, Shelagh, Kirov, Georg, Körkkö, Jarmo, Kuismin, Outi, Holmans, Peter, Hultman, Christina M, Iyegbe, Conrad, Lönnqvist, Jouko, Männikkö, Minna, McCarroll, Steve A, McGuffin, Peter, McIntosh, Andrew M, McQuillin, Andrew, Moilanen, Jukka S, Moore, Carmel, Murray, Robin M, Newbury-Ecob, Ruth, Ouwehand, Willem, Paunio, Tiina, Prigmore, Elena, Rees, Elliott, Roberts, David, Sambrook, Jennifer, Sklar, Pamela, Clair, David St, Veijola, Juha, Walters, James TR, Williams, Hywel, Sullivan, Patrick F, Hurles, Matthew E, O'Donovan, Michael C, Palotie, Aarno, Owen, Michael J, and Barrett, Jeffrey C

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Genetics, Serious Mental Illness, Human Genome, Schizophrenia, Biotechnology, Brain Disorders, Mental Health, 2.1 Biological and endogenous factors, Aetiology, Mental health, Case-Control Studies, Cohort Studies, Female, Finland, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Histone-Lysine N-Methyltransferase, Humans, Male, Neurodevelopmental Disorders, Swedish Schizophrenia Study, INTERVAL Study, DDD Study, UK10 K Consortium, Neurosciences, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

By analyzing the whole-exome sequences of 4,264 schizophrenia cases, 9,343 controls and 1,077 trios, we identified a genome-wide significant association between rare loss-of-function (LoF) variants in SETD1A and risk for schizophrenia (P = 3.3 × 10(-9)). We found only two heterozygous LoF variants in 45,376 exomes from individuals without a neuropsychiatric diagnosis, indicating that SETD1A is substantially depleted of LoF variants in the general population. Seven of the ten individuals with schizophrenia carrying SETD1A LoF variants also had learning difficulties. We further identified four SETD1A LoF carriers among 4,281 children with severe developmental disorders and two more carriers in an independent sample of 5,720 Finnish exomes, both with notable neuropsychiatric phenotypes. Together, our observations indicate that LoF variants in SETD1A cause a range of neurodevelopmental disorders, including schizophrenia. Combining these data with previous common variant evidence, we suggest that epigenetic dysregulation, specifically in the histone H3K4 methylation pathway, is an important mechanism in the pathogenesis of schizophrenia.

Published
2016

28. A potential endophenotype for Alzheimer's disease: cerebrospinal fluid clusterin

Author

Deming, Yuetiva, Xia, Jian, Cai, Yefei, Lord, Jenny, Holmans, Peter, Bertelsen, Sarah, Holtzman, David, Morris, John C, Bales, Kelly, Pickering, Eve H, Kauwe, John, Goate, Alison, Cruchaga, Carlos, and Initiative, Alzheimer's Disease Neuroimaging

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Human Genome, Neurodegenerative, Genetics, Brain Disorders, Acquired Cognitive Impairment, Alzheimer's Disease, Aging, 2.1 Biological and endogenous factors, Neurological, Aged, Aged, 80 and over, Alzheimer Disease, Apolipoprotein E4, Apolipoproteins E, Biomarkers, Clusterin, Endophenotypes, Female, Gene Ontology, Genome-Wide Association Study, Humans, Immunity, Male, Nerve Degeneration, Wound Healing, Alzheimer's disease, APOE, Cerebrospinal fluid, Gene ontology, Immune response, Alzheimer's Disease Neuroimaging Initiative, Clinical Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Genome-wide association studies have associated clusterin (CLU) variants with Alzheimer's disease (AD). However, the role of CLU on AD pathogenesis is not totally understood. We used cerebrospinal fluid (CSF) and plasma CLU levels as endophenotypes for genetic studies to understand the role of CLU in AD. CSF, but not plasma, CLU levels were significantly associated with AD status and CSF tau/amyloid-beta ratio, and highly correlated with CSF apolipoprotein E (APOE) levels. Several loci showed almost genome-wide significant associations including LINC00917 (p = 3.98 × 10(-7)) and interleukin 6 (IL6, p = 9.94 × 10(-6), in the entire data set and in the APOE ε4- individuals p = 7.40 × 10(-8)). Gene ontology analyses suggest that CSF CLU levels may be associated with wound healing and immune response which supports previous functional studies that demonstrated an association between CLU and IL6. CLU may play a role in AD by influencing immune system changes that have been observed in AD or by disrupting healing after neurodegeneration.

Published
2016

29. New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis

Author

Lee, S Hong, Byrne, Enda M, Hultman, Christina M, Kähler, Anna, Vinkhuyzen, Anna AE, Ripke, Stephan, Andreassen, Ole A, Frisell, Thomas, Gusev, Alexander, Hu, Xinli, Karlsson, Robert, Mantzioris, Vasilis X, McGrath, John J, Mehta, Divya, Stahl, Eli A, Zhao, Qiongyi, Kendler, Kenneth S, Sullivan, Patrick F, Price, Alkes L, O’Donovan, Michael, Okada, Yukinori, Mowry, Bryan J, Raychaudhuri, Soumya, Wray, Naomi R, Byerley, William, Cahn, Wiepke, Cantor, Rita M, Cichon, Sven, Cormican, Paul, Curtis, David, Djurovic, Srdjan, Escott-Price, Valentina, Gejman, Pablo V, Georgieva, Lyudmila, Giegling, Ina, Hansen, Thomas F, Ingason, Andrés, Kim, Yunjung, Konte, Bettina, Lee, Phil H, McIntosh, Andrew, McQuillin, Andrew, Morris, Derek W, Nöthen, Markus M, O’Dushlaine, Colm, Olincy, Ann, Olsen, Line, Pato, Carlos N, Pato, Michele T, Pickard, Benjamin S, Posthuma, Danielle, Rasmussen, Henrik B, Rietschel, Marcella, Rujescu, Dan, Schulze, Thomas G, Silverman, Jeremy M, Thirumalai, Srinivasa, Werge, Thomas, Agartz, Ingrid, Amin, Farooq, Azevedo, Maria H, Bass, Nicholas, Black, Donald W, Blackwood, Douglas HR, Bruggeman, Richard, Buccola, Nancy G, Choudhury, Khalid, Cloninger, Robert C, Corvin, Aiden, Craddock, Nicholas, Daly, Mark J, Datta, Susmita, Donohoe, Gary J, Duan, Jubao, Dudbridge, Frank, Fanous, Ayman, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Gill, Michael, Gurling, Hugh, De Haan, Lieuwe, Hamshere, Marian L, Hartmann, Annette M, Holmans, Peter A, Kahn, René S, Keller, Matthew C, Kenny, Elaine, Kirov, George K, Krabbendam, Lydia, Krasucki, Robert, Lawrence, Jacob, Lencz, Todd, Levinson, Douglas F, Lieberman, Jeffrey A, Lin, Dan-Yu, Linszen, Don H, Magnusson, Patrik KE, Maier, Wolfgang, and Malhotra, Anil K

Subjects
Epidemiology, Health Sciences, Human Genome, Mental Health, Brain Disorders, Autoimmune Disease, Schizophrenia, Clinical Research, Arthritis, Serious Mental Illness, Genetics, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Mental health, Adolescent, Adult, Arthritis, Rheumatoid, Cohort Studies, Cross-Sectional Studies, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Schizophrenia Working Group of the Psychiatric Genomics Consortium and Rheumatoid Arthritis Consortium International, Schizophrenia Working Group of the Psychiatric Genomics Consortium Authors, Schizophrenia Working Group of the Psychiatric Genomics Consortium Collaborators, Rheumatoid Arthritis Consortium International Authors, Rheumatoid Arthritis Consortium International Collaborators, Statistics, Public Health and Health Services, Public health
Abstract

BackgroundA long-standing epidemiological puzzle is the reduced rate of rheumatoid arthritis (RA) in those with schizophrenia (SZ) and vice versa. Traditional epidemiological approaches to determine if this negative association is underpinned by genetic factors would test for reduced rates of one disorder in relatives of the other, but sufficiently powered data sets are difficult to achieve. The genomics era presents an alternative paradigm for investigating the genetic relationship between two uncommon disorders.MethodsWe use genome-wide common single nucleotide polymorphism (SNP) data from independently collected SZ and RA case-control cohorts to estimate the SNP correlation between the disorders. We test a genotype X environment (GxE) hypothesis for SZ with environment defined as winter- vs summer-born.ResultsWe estimate a small but significant negative SNP-genetic correlation between SZ and RA (-0.046, s.e. 0.026, P = 0.036). The negative correlation was stronger for the SNP set attributed to coding or regulatory regions (-0.174, s.e. 0.071, P = 0.0075). Our analyses led us to hypothesize a gene-environment interaction for SZ in the form of immune challenge. We used month of birth as a proxy for environmental immune challenge and estimated the genetic correlation between winter-born and non-winter born SZ to be significantly less than 1 for coding/regulatory region SNPs (0.56, s.e. 0.14, P = 0.00090).ConclusionsOur results are consistent with epidemiological observations of a negative relationship between SZ and RA reflecting, at least in part, genetic factors. Results of the month of birth analysis are consistent with pleiotropic effects of genetic variants dependent on environmental context.

Published
2015

30. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Author

Vilhjálmsson, Bjarni J, Yang, Jian, Finucane, Hilary K, Gusev, Alexander, Lindström, Sara, Ripke, Stephan, Genovese, Giulio, Loh, Po-Ru, Bhatia, Gaurav, Do, Ron, Hayeck, Tristan, Won, Hong-Hee, Consortium, Schizophrenia Working Group of the Psychiatric Genomics, Neale, Benjamin M, Corvin, Aiden, Walters, James TR, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, DeLisi, Lynn E, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Fromer, Menachem, Georgieva, Lyudmila, Gershon, Elliot S, Giegling, Ina, Giusti-Rodrguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, and Grove, Jakob

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Schizophrenia, Mental Health, Brain Disorders, Serious Mental Illness, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Models, Theoretical, Multifactorial Inheritance, Multiple Sclerosis, Phenotype, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDpred, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel. Theory and simulations show that LDpred outperforms the approach of pruning followed by thresholding, particularly at large sample sizes. Accordingly, predicted R(2) increased from 20.1% to 25.3% in a large schizophrenia dataset and from 9.8% to 12.0% in a large multiple sclerosis dataset. A similar relative improvement in accuracy was observed for three additional large disease datasets and for non-European schizophrenia samples. The advantage of LDpred over existing methods will grow as sample sizes increase.

Published
2015

31. Analysis of exome sequence in 604 trios for recessive genotypes in schizophrenia.

Author

Rees, E, Kirov, G, Walters, JT, Richards, AL, Howrigan, D, Kavanagh, DH, Pocklington, AJ, Fromer, M, Ruderfer, DM, Georgieva, L, Carrera, N, Gormley, P, Palta, P, Williams, H, Dwyer, S, Johnson, JS, Roussos, P, Barker, DD, Banks, E, Milanova, V, Rose, SA, Chambert, K, Mahajan, M, Scolnick, EM, Moran, JL, Tsuang, MT, Glatt, SJ, Chen, WJ, Hwu, H-G, Taiwanese Trios Exome Sequencing Consortium, Neale, BM, Palotie, A, Sklar, P, Purcell, SM, McCarroll, SA, Holmans, P, Owen, MJ, and O'Donovan, MC

Subjects
Taiwanese Trios Exome Sequencing Consortium, Humans, Genetic Predisposition to Disease, Case-Control Studies, Family, Schizophrenia, Gene Frequency, Genotype, Heterozygote, Homozygote, Genes, Recessive, Female, Male, Exome, Voltage-Gated Sodium Channels, Genes, Recessive, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Genetic associations involving both rare and common alleles have been reported for schizophrenia but there have been no systematic scans for rare recessive genotypes using fully phased trio data. Here, we use exome sequencing in 604 schizophrenia proband-parent trios to investigate the role of recessive (homozygous or compound heterozygous) nonsynonymous genotypes in the disorder. The burden of recessive genotypes was not significantly increased in probands at either a genome-wide level or in any individual gene after adjustment for multiple testing. At a system level, probands had an excess of nonsynonymous compound heterozygous genotypes (minor allele frequency, MAF ⩽ 1%) in voltage-gated sodium channels (VGSCs; eight in probands and none in parents, P = 1.5 × 10(-)(4)). Previous findings of multiple de novo loss-of-function mutations in this gene family, particularly SCN2A, in autism and intellectual disability provide biological and genetic plausibility for this finding. Pointing further to the involvement of VGSCs in schizophrenia, we found that these genes were enriched for nonsynonymous mutations (MAF ⩽ 0.1%) in cases genotyped using an exome array, (5585 schizophrenia cases and 8103 controls), and that in the trios data, synaptic proteins interacting with VGSCs were also enriched for both compound heterozygosity (P = 0.018) and de novo mutations (P = 0.04). However, we were unable to replicate the specific association with compound heterozygosity at VGSCs in an independent sample of Taiwanese schizophrenia trios (N = 614). We conclude that recessive genotypes do not appear to make a substantial contribution to schizophrenia at a genome-wide level. Although multiple lines of evidence, including several from this study, suggest that rare mutations in VGSCs contribute to the disorder, in the absence of replication of the original findings regarding compound heterozygosity, this conclusion requires evaluation in a larger sample of trios.

Published
2015

32. Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Author

de Rojas, Itziar, Moreno-Grau, Sonia, Tesi, Niccolo, Grenier-Boley, Benjamin, Andrade, Victor, Jansen, Iris E., Pedersen, Nancy L., Stringa, Najada, Zettergren, Anna, Hernández, Isabel, Montrreal, Laura, Antúnez, Carmen, Antonell, Anna, Tankard, Rick M., Bis, Joshua C., Sims, Rebecca, Bellenguez, Céline, Quintela, Inés, González-Perez, Antonio, Calero, Miguel, Franco-Macías, Emilio, Macías, Juan, Blesa, Rafael, Cervera-Carles, Laura, Menéndez-González, Manuel, Frank-García, Ana, Royo, Jose Luís, Moreno, Fermin, Huerto Vilas, Raquel, Baquero, Miquel, Diez-Fairen, Mónica, Lage, Carmen, García-Madrona, Sebastián, García-González, Pablo, Alarcón-Martín, Emilio, Valero, Sergi, Sotolongo-Grau, Oscar, Ullgren, Abbe, Naj, Adam C., Lemstra, Afina W., Benaque, Alba, Pérez-Cordón, Alba, Benussi, Alberto, Rábano, Alberto, Padovani, Alessandro, Squassina, Alessio, de Mendonça, Alexandre, Arias Pastor, Alfonso, Kok, Almar A. L., Meggy, Alun, Pastor, Ana Belén, Espinosa, Ana, Corma-Gómez, Anaïs, Martín Montes, Angel, Sanabria, Ángela, DeStefano, Anita L., Schneider, Anja, Haapasalo, Annakaisa, Kinhult Ståhlbom, Anne, Tybjærg-Hansen, Anne, Hartmann, Annette M., Spottke, Annika, Corbatón-Anchuelo, Arturo, Rongve, Arvid, Borroni, Barbara, Arosio, Beatrice, Nacmias, Benedetta, Nordestgaard, Børge G., Kunkle, Brian W., Charbonnier, Camille, Abdelnour, Carla, Masullo, Carlo, Martínez Rodríguez, Carmen, Muñoz-Fernandez, Carmen, Dufouil, Carole, Graff, Caroline, Ferreira, Catarina B., Chillotti, Caterina, Reynolds, Chandra A., Fenoglio, Chiara, Van Broeckhoven, Christine, Clark, Christopher, Pisanu, Claudia, Satizabal, Claudia L., Holmes, Clive, Buiza-Rueda, Dolores, Aarsland, Dag, Rujescu, Dan, Alcolea, Daniel, Galimberti, Daniela, Wallon, David, Seripa, Davide, Grünblatt, Edna, Dardiotis, Efthimios, Düzel, Emrah, Scarpini, Elio, Conti, Elisa, Rubino, Elisa, Gelpi, Ellen, Rodriguez-Rodriguez, Eloy, Duron, Emmanuelle, Boerwinkle, Eric, Ferri, Evelyn, Tagliavini, Fabrizio, Küçükali, Fahri, Pasquier, Florence, Sanchez-Garcia, Florentino, Mangialasche, Francesca, Jessen, Frank, Nicolas, Gaël, Selbæk, Geir, Ortega, Gemma, Chêne, Geneviève, Hadjigeorgiou, Georgios, Rossi, Giacomina, Spalletta, Gianfranco, Giaccone, Giorgio, Grande, Giulia, Binetti, Giuliano, Papenberg, Goran, Hampel, Harald, Bailly, Henri, Zetterberg, Henrik, Soininen, Hilkka, Karlsson, Ida K., Alvarez, Ignacio, Appollonio, Ildebrando, Giegling, Ina, Skoog, Ingmar, Saltvedt, Ingvild, Rainero, Innocenzo, Rosas Allende, Irene, Hort, Jakub, Diehl-Schmid, Janine, Van Dongen, Jasper, Vidal, Jean-Sebastien, Lehtisalo, Jenni, Wiltfang, Jens, Thomassen, Jesper Qvist, Kornhuber, Johannes, Haines, Jonathan L., Vogelgsang, Jonathan, Pineda, Juan A., Fortea, Juan, Popp, Julius, Deckert, Jürgen, Buerger, Katharina, Morgan, Kevin, Fließbach, Klaus, Sleegers, Kristel, Molina-Porcel, Laura, Kilander, Lena, Weinhold, Leonie, Farrer, Lindsay A., Wang, Li-San, Kleineidam, Luca, Farotti, Lucia, Parnetti, Lucilla, Tremolizzo, Lucio, Hausner, Lucrezia, Benussi, Luisa, Froelich, Lutz, Ikram, M. Arfan, Deniz-Naranjo, M. Candida, Tsolaki, Magda, Rosende-Roca, Maitée, Löwenmark, Malin, Hulsman, Marc, Spallazzi, Marco, Pericak-Vance, Margaret A., Esiri, Margaret, Bernal Sánchez-Arjona, María, Dalmasso, Maria Carolina, Martínez-Larrad, María Teresa, Arcaro, Marina, Nöthen, Markus M., Fernández-Fuertes, Marta, Dichgans, Martin, Ingelsson, Martin, Herrmann, Martin J., Scherer, Martin, Vyhnalek, Martin, Kosmidis, Mary H., Yannakoulia, Mary, Schmid, Matthias, Ewers, Michael, Heneka, Michael T., Wagner, Michael, Scamosci, Michela, Kivipelto, Miia, Hiltunen, Mikko, Zulaica, Miren, Alegret, Montserrat, Fornage, Myriam, Roberto, Natalia, van Schoor, Natasja M., Seidu, Nazib M., Banaj, Nerisa, Armstrong, Nicola J., Scarmeas, Nikolaos, Scherbaum, Norbert, Goldhardt, Oliver, Hanon, Oliver, Peters, Oliver, Skrobot, Olivia Anna, Quenez, Olivier, Lerch, Ondrej, Bossù, Paola, Caffarra, Paolo, Dionigi Rossi, Paolo, Sakka, Paraskevi, Mecocci, Patrizia, Hoffmann, Per, Holmans, Peter A., Fischer, Peter, Riederer, Peter, Yang, Qiong, Marshall, Rachel, Kalaria, Rajesh N., Mayeux, Richard, Vandenberghe, Rik, Cecchetti, Roberta, Ghidoni, Roberta, Frikke-Schmidt, Ruth, Sorbi, Sandro, Hägg, Sara, Engelborghs, Sebastiaan, Helisalmi, Seppo, Botne Sando, Sigrid, Kern, Silke, Archetti, Silvana, Boschi, Silvia, Fostinelli, Silvia, Gil, Silvia, Mendoza, Silvia, Mead, Simon, Ciccone, Simona, Djurovic, Srdjan, Heilmann-Heimbach, Stefanie, Riedel-Heller, Steffi, Kuulasmaa, Teemu, del Ser, Teodoro, Lebouvier, Thibaud, Polak, Thomas, Ngandu, Tiia, Grimmer, Timo, Bessi, Valentina, Escott-Price, Valentina, Giedraitis, Vilmantas, Deramecourt, Vincent, Maier, Wolfgang, Jian, Xueqiu, Pijnenburg, Yolande A. L., Kehoe, Patrick Gavin, Garcia-Ribas, Guillermo, Sánchez-Juan, Pascual, Pastor, Pau, Pérez-Tur, Jordi, Piñol-Ripoll, Gerard, Lopez de Munain, Adolfo, García-Alberca, Jose María, Bullido, María J., Álvarez, Victoria, Lleó, Alberto, Real, Luis M., Mir, Pablo, Medina, Miguel, Scheltens, Philip, Holstege, Henne, Marquié, Marta, Sáez, María Eugenia, Carracedo, Ángel, Amouyel, Philippe, Schellenberg, Gerard D., Williams, Julie, Seshadri, Sudha, van Duijn, Cornelia M., Mather, Karen A., Sánchez-Valle, Raquel, Serrano-Ríos, Manuel, Orellana, Adelina, Tárraga, Lluís, Blennow, Kaj, Huisman, Martijn, Andreassen, Ole A., Posthuma, Danielle, Clarimón, Jordi, Boada, Mercè, van der Flier, Wiesje M., Ramirez, Alfredo, Lambert, Jean-Charles, van der Lee, Sven J., and Ruiz, Agustín

Published
2021
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35. Author Correction: Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores (Nature Communications, (2021), 12, 1, (3417), 10.1038/s41467-021-22491-8)

Author

de Rojas I., de Rojas, I, Moreno-Grau, S, Tesi, N, Grenier-Boley, B, Andrade, V, Jansen, I, Pedersen, N, Stringa, N, Zettergren, A, Hernandez, I, Montrreal, L, Antunez, C, Antonell, A, Tankard, R, Bis, J, Sims, R, Bellenguez, C, Quintela, I, Gonzalez-Perez, A, Calero, M, Franco-Macias, E, Macias, J, Blesa, R, Cervera-Carles, L, Menendez-Gonzalez, M, Frank-Garcia, A, Royo, J, Moreno, F, Huerto Vilas, R, Baquero, M, Diez-Fairen, M, Lage, C, Garcia-Madrona, S, Garcia-Gonzalez, P, Alarcon-Martin, E, Valero, S, Sotolongo-Grau, O, Ullgren, A, Naj, A, Lemstra, A, Benaque, A, Perez-Cordon, A, Benussi, A, Rabano, A, Padovani, A, Squassina, A, de Mendonca, A, Arias Pastor, A, Kok, A, Meggy, A, Pastor, A, Espinosa, A, Corma-Gomez, A, Martin Montes, A, Sanabria, A, Destefano, A, Schneider, A, Haapasalo, A, Kinhult Stahlbom, A, Tybjaerg-Hansen, A, Hartmann, A, Spottke, A, Corbaton-Anchuelo, A, Rongve, A, Borroni, B, Arosio, B, Nacmias, B, Nordestgaard, B, Kunkle, B, Charbonnier, C, Abdelnour, C, Masullo, C, Martinez Rodriguez, C, Munoz-Fernandez, C, Dufouil, C, Graff, C, Ferreira, C, Chillotti, C, Reynolds, C, Fenoglio, C, Van Broeckhoven, C, Clark, C, Pisanu, C, Satizabal, C, Holmes, C, Buiza-Rueda, D, Aarsland, D, Rujescu, D, Alcolea, D, Galimberti, D, Wallon, D, Seripa, D, Grunblatt, E, Dardiotis, E, Duzel, E, Scarpini, E, Conti, E, Rubino, E, Gelpi, E, Rodriguez-Rodriguez, E, Duron, E, Boerwinkle, E, Ferri, E, Tagliavini, F, Kucukali, F, Pasquier, F, Sanchez-Garcia, F, Mangialasche, F, Jessen, F, Nicolas, G, Selbaek, G, Ortega, G, Chene, G, Hadjigeorgiou, G, Rossi, G, Spalletta, G, Giaccone, G, Grande, G, Binetti, G, Papenberg, G, Hampel, H, Bailly, H, Zetterberg, H, Soininen, H, Karlsson, I, Alvarez, I, Appollonio, I, Giegling, I, Skoog, I, Saltvedt, I, Rainero, I, Rosas Allende, I, Hort, J, Diehl-Schmid, J, Van Dongen, J, Vidal, J, Lehtisalo, J, Wiltfang, J, Thomassen, J, Kornhuber, J, Haines, J, Vogelgsang, J, Pineda, J, Fortea, J, Popp, J, Deckert, J, Buerger, K, Morgan, K, Fliessbach, K, Sleegers, K, Molina-Porcel, L, Kilander, L, Weinhold, L, Farrer, L, Wang, L, Kleineidam, L, Farotti, L, Parnetti, L, Tremolizzo, L, Hausner, L, Benussi, L, Froelich, L, Ikram, M, Deniz-Naranjo, M, Tsolaki, M, Rosende-Roca, M, Lowenmark, M, Hulsman, M, Spallazzi, M, Pericak-Vance, M, Esiri, M, Bernal Sanchez-Arjona, M, Dalmasso, M, Martinez-Larrad, M, Arcaro, M, Nothen, M, Fernandez-Fuertes, M, Dichgans, M, Ingelsson, M, Herrmann, M, Scherer, M, Vyhnalek, M, Kosmidis, M, Yannakoulia, M, Schmid, M, Ewers, M, Heneka, M, Wagner, M, Scamosci, M, Kivipelto, M, Hiltunen, M, Zulaica, M, Alegret, M, Fornage, M, Roberto, N, van Schoor, N, Seidu, N, Banaj, N, Armstrong, N, Scarmeas, N, Scherbaum, N, Goldhardt, O, Hanon, O, Peters, O, Skrobot, O, Quenez, O, Lerch, O, Bossu, P, Caffarra, P, Dionigi Rossi, P, Sakka, P, Mecocci, P, Hoffmann, P, Holmans, P, Fischer, P, Riederer, P, Yang, Q, Marshall, R, Kalaria, R, Mayeux, R, Vandenberghe, R, Cecchetti, R, Ghidoni, R, Frikke-Schmidt, R, Sorbi, S, Hagg, S, Engelborghs, S, Helisalmi, S, Botne Sando, S, Kern, S, Archetti, S, Boschi, S, Fostinelli, S, Gil, S, Mendoza, S, Mead, S, Ciccone, S, Djurovic, S, Heilmann-Heimbach, S, Riedel-Heller, S, Kuulasmaa, T, del Ser, T, Lebouvier, T, Polak, T, Ngandu, T, Grimmer, T, Bessi, V, Escott-Price, V, Giedraitis, V, Deramecourt, V, Maier, W, Jian, X, Pijnenburg, Y, Smith, A, Saenz, A, Bizzarro, A, Lauria, A, Vacca, A, Solomon, A, Anastasiou, A, Richardson, A, Boland, A, Koivisto, A, Daniele, A, Greco, A, Marianthi, A, Mcguinness, B, Fin, B, Ferrari, C, Custodero, C, Ferrarese, C, Ingino, C, Mangone, C, Reyes Toso, C, Martinez, C, Cuesta, C, Muchnik, C, Joachim, C, Ortiz, C, Besse, C, Johansson, C, Zoia, C, Laske, C, Anastasiou, C, Palacio, D, Politis, D, Janowitz, D, Craig, D, Mann, D, Neary, D, Jurgen, D, Daian, D, Belezhanska, D, Kohler, E, Castano, E, Koutsouraki, E, Chipi, E, De Roeck, E, Costantini, E, Vardy, E, Piras, F, Roveta, F, Prestia, F, Assogna, F, Salani, F, Sala, G, Lacidogna, G, Novack, G, Wilcock, G, Thonberg, H, Kolsch, H, Weber, H, Boecker, H, Etchepareborda, I, Piaceri, I, Tuomilehto, J, Lindstrom, J, Laczo, J, Johnston, J, Deleuze, J, Harris, J, Schott, J, Priller, J, Bacha, J, Snowden, J, Lisso, J, Mihova, K, Traykov, L, Morelli, L, Brusco, L, Rainer, M, Takalo, M, Bjerke, M, Del Zompo, M, Serpente, M, Sanchez Abalos, M, Rios, M, Peltonen, M, Herrman, M, Kohler, M, Rojo, M, Jones, M, Orsini, M, Medel, N, Olivar, N, Fox, N, Salvadori, N, Hooper, N, Galeano, P, Solis, P, Bastiani, P, Passmore, P, Heun, R, Antikainen, R, Olaso, R, Perneczky, R, Germani, S, Lopez-Garcia, S, Love, S, Mehrabian, S, Bagnoli, S, Kochen, S, Andreoni, S, Teipel, S, Todd, S, Pickering-Brown, S, Natunen, T, Tegos, T, Laatikainen, T, Strandberg, T, Polvikoski, T, Matoska, V, Ciullo, V, Cores, V, Solfrizzi, V, Lisetti, V, Sevillano, Z, Aguilera, N, Alarcon, E, Boada, M, Buendia, M, Canabate, P, Carracedo, A, Diego, S, Gailhajenet, A, Guitart, M, Ibarria, M, Lafuente, A, Maronas, O, Martin, E, Martinez, M, Marquie, M, Mauleon, A, Moreno, M, Orellana, A, Pancho, A, Peleja, E, Preckler, S, Real, L, Ruiz, A, Saez, M, Serrano-Rios, M, Tarraga, L, Vargas, L, Adarmes-Gomez, A, Alonso, M, Alvarez, V, Amer-Ferrer, G, Antequera, M, Bernal, M, Bullido, M, Burguera, J, Carrillo, F, Carrion-Claro, M, Casajeros, M, Clarimon, J, Cruz-Gamero, J, de Pancorbo, M, Escuela, R, Garrote-Espina, L, Garcia-Alberca, J, Garcia Madrona, S, Garcia-Ribas, G, Gomez-Garre, P, Hevilla, S, Jesus, S, Labrador Espinosa, M, Legaz, A, Lleo, A, Lopez de Munain, A, Macias-Garcia, D, Manzanares, S, Marin, M, Marin-Munoz, J, Marin, T, Martinez, B, Martinez, V, Martinez-Lage Alvarez, P, Medina, M, Mendioroz Iriarte, M, Mir, P, Molinuevo, J, Pastor, P, Perez Tur, J, Perinan-Tocino, T, Pineda-Sanchez, R, Pinol-Ripoll, G, Real de Asua, D, Rodrigo, S, Sanchez del Valle Diaz, R, Sanchez-Juan, P, Sastre, I, Vicente, M, Vigo-Ortega, R, Vivancos, L, Macleod, C, Mccracken, C, Brayne, C, Bresner, C, Grozeva, D, Bellou, E, Sommerville, E, Matthews, F, Leonenko, G, Menzies, G, Windle, G, Harwood, J, Phillips, J, Bennett, K, Luckuck, L, Clare, L, Woods, R, Saad, S, Burholt, V, Kehoe, P, Scheltens, P, Holstege, H, Amouyel, P, Schellenberg, G, Williams, J, Seshadri, S, van Duijn, C, Mather, K, Sanchez-Valle, R, Blennow, K, Huisman, M, Andreassen, O, Posthuma, D, van der Flier, W, Ramirez, A, Lambert, J, van der Lee, S, de Rojas I., Moreno-Grau S., Tesi N., Grenier-Boley B., Andrade V., Jansen I. E., Pedersen N. L., Stringa N., Zettergren A., Hernandez I., Montrreal L., Antunez C., Antonell A., Tankard R. M., Bis J. C., Sims R., Bellenguez C., Quintela I., Gonzalez-Perez A., Calero M., Franco-Macias E., Macias J., Blesa R., Cervera-Carles L., Menendez-Gonzalez M., Frank-Garcia A., Royo J. L., Moreno F., Huerto Vilas R., Baquero M., Diez-Fairen M., Lage C., Garcia-Madrona S., Garcia-Gonzalez P., Alarcon-Martin E., Valero S., Sotolongo-Grau O., Ullgren A., Naj A. C., Lemstra A. W., Benaque A., Perez-Cordon A., Benussi A., Rabano A., Padovani A., Squassina A., de Mendonca A., Arias Pastor A., Kok A. A. L., Meggy A., Pastor A. B., Espinosa A., Corma-Gomez A., Martin Montes A., Sanabria A., DeStefano A. L., Schneider A., Haapasalo A., Kinhult Stahlbom A., Tybjaerg-Hansen A., Hartmann A. M., Spottke A., Corbaton-Anchuelo A., Rongve A., Borroni B., Arosio B., Nacmias B., Nordestgaard B. G., Kunkle B. W., Charbonnier C., Abdelnour C., Masullo C., Martinez Rodriguez C., Munoz-Fernandez C., Dufouil C., Graff C., Ferreira C. B., Chillotti C., Reynolds C. A., Fenoglio C., Van Broeckhoven C., Clark C., Pisanu C., Satizabal C. L., Holmes C., Buiza-Rueda D., Aarsland D., Rujescu D., Alcolea D., Galimberti D., Wallon D., Seripa D., Grunblatt E., Dardiotis E., Duzel E., Scarpini E., Conti E., Rubino E., Gelpi E., Rodriguez-Rodriguez E., Duron E., Boerwinkle E., Ferri E., Tagliavini F., Kucukali F., Pasquier F., Sanchez-Garcia F., Mangialasche F., Jessen F., Nicolas G., Selbaek G., Ortega G., Chene G., Hadjigeorgiou G., Rossi G., Spalletta G., Giaccone G., Grande G., Binetti G., Papenberg G., Hampel H., Bailly H., Zetterberg H., Soininen H., Karlsson I. K., Alvarez I., Appollonio I., Giegling I., Skoog I., Saltvedt I., Rainero I., Rosas Allende I., Hort J., Diehl-Schmid J., Van Dongen J., Vidal J. -S., Lehtisalo J., Wiltfang J., Thomassen J. Q., Kornhuber J., Haines J. L., Vogelgsang J., Pineda J. A., Fortea J., Popp J., Deckert J., Buerger K., Morgan K., Fliessbach K., Sleegers K., Molina-Porcel L., Kilander L., Weinhold L., Farrer L. A., Wang L. -S., Kleineidam L., Farotti L., Parnetti L., Tremolizzo L., Hausner L., Benussi L., Froelich L., Ikram M. A., Deniz-Naranjo M. C., Tsolaki M., Rosende-Roca M., Lowenmark M., Hulsman M., Spallazzi M., Pericak-Vance M. A., Esiri M., Bernal Sanchez-Arjona M., Dalmasso M. C., Martinez-Larrad M. T., Arcaro M., Nothen M. M., Fernandez-Fuertes M., Dichgans M., Ingelsson M., Herrmann M. J., Scherer M., Vyhnalek M., Kosmidis M. H., Yannakoulia M., Schmid M., Ewers M., Heneka M. T., Wagner M., Scamosci M., Kivipelto M., Hiltunen M., Zulaica M., Alegret M., Fornage M., Roberto N., van Schoor N. M., Seidu N. M., Banaj N., Armstrong N. J., Scarmeas N., Scherbaum N., Goldhardt O., Hanon O., Peters O., Skrobot O. A., Quenez O., Lerch O., Bossu P., Caffarra P., Dionigi Rossi P., Sakka P., Mecocci P., Hoffmann P., Holmans P. A., Fischer P., Riederer P., Yang Q., Marshall R., Kalaria R. N., Mayeux R., Vandenberghe R., Cecchetti R., Ghidoni R., Frikke-Schmidt R., Sorbi S., Hagg S., Engelborghs S., Helisalmi S., Botne Sando S., Kern S., Archetti S., Boschi S., Fostinelli S., Gil S., Mendoza S., Mead S., Ciccone S., Djurovic S., Heilmann-Heimbach S., Riedel-Heller S., Kuulasmaa T., del Ser T., Lebouvier T., Polak T., Ngandu T., Grimmer T., Bessi V., Escott-Price V., Giedraitis V., Deramecourt V., Maier W., Jian X., Pijnenburg Y. A. L., Smith A. D., Saenz A., Bizzarro A., Lauria A., Vacca A., Solomon A., Anastasiou A., Richardson A., Boland A., Koivisto A., Daniele A., Greco A., Marianthi A., McGuinness B., Fin B., Ferrari C., Custodero C., Ferrarese C., Ingino C., Mangone C., Reyes Toso C., Martinez C., Cuesta C., Muchnik C., Joachim C., Ortiz C., Besse C., Johansson C., Zoia C. P., Laske C., Anastasiou C., Palacio D. L., Politis D. G., Janowitz D., Craig D., Mann D. M., Neary D., Jurgen D., Daian D., Belezhanska D., Kohler E., Castano E. M., Koutsouraki E., Chipi E., De Roeck E., Costantini E., Vardy E. R. L. C., Piras F., Roveta F., Prestia F. A., Assogna F., Salani F., Sala G., Lacidogna G., Novack G., Wilcock G., Thonberg H., Kolsch H., Weber H., Boecker H., Etchepareborda I., Piaceri I., Tuomilehto J., Lindstrom J., Laczo J., Johnston J., Deleuze J. -F., Harris J., Schott J. M., Priller J., Bacha J. I., Snowden J., Lisso J., Mihova K. Y., Traykov L., Morelli L., Brusco L. I., Rainer M., Takalo M., Bjerke M., Del Zompo M., Serpente M., Sanchez Abalos M., Rios M., Peltonen M., Herrman M. J., Kohler M., Rojo M., Jones M., Orsini M., Medel N., Olivar N., Fox N. C., Salvadori N., Hooper N. M., Galeano P., Solis P., Bastiani P., Passmore P., Heun R., Antikainen R., Olaso R., Perneczky R., Germani S., Lopez-Garcia S., Love S., Mehrabian S., Bagnoli S., Kochen S., Andreoni S., Teipel S., Todd S., Pickering-Brown S., Natunen T., Tegos T., Laatikainen T., Strandberg T., Polvikoski T. M., Matoska V., Ciullo V., Cores V., Solfrizzi V., Lisetti V., Sevillano Z., Aguilera N., Alarcon E., Boada M., Buendia M., Canabate P., Carracedo A., Diego S., Gailhajenet A., Guitart M., Ibarria M., Lafuente A., Maronas O., Martin E., Martinez M. T., Marquie M., Mauleon A., Moreno M., Orellana A., Pancho A., Peleja E., Preckler S., Real L. M., Ruiz A., Saez M. E., Serrano-Rios M., Tarraga L., Vargas L., Adarmes-Gomez A. D., Alonso M. D., Alvarez V., Amer-Ferrer G., Antequera M., Bernal M., Bullido M. J., Burguera J. A., Carrillo F., Carrion-Claro M., Casajeros M. J., Clarimon J., Cruz-Gamero J. M., de Pancorbo M. M., Escuela R., Garrote-Espina L., Garcia-Alberca J. M., Garcia Madrona S., Garcia-Ribas G., Gomez-Garre P., Hevilla S., Jesus S., Labrador Espinosa M. A., Legaz A., Lleo A., Lopez de Munain A., Macias-Garcia D., Manzanares S., Marin M., Marin-Munoz J., Marin T., Martinez B., Martinez V., Martinez-Lage Alvarez P., Medina M., Mendioroz Iriarte M., Mir P., Molinuevo J. L., Pastor P., Perez Tur J., Perinan-Tocino T., Pineda-Sanchez R., Pinol-Ripoll G., Real de Asua D., Rodrigo S., Sanchez del Valle Diaz R., Sanchez-Juan P., Sastre I., Vicente M. P., Vigo-Ortega R., Vivancos L., Macleod C., McCracken C., Brayne C., Bresner C., Grozeva D., Bellou E., Sommerville E. W., Matthews F., Leonenko G., Menzies G., Windle G., Harwood J., Phillips J., Bennett K., Luckuck L., Clare L., Woods R., Saad S., Burholt V., Kehoe P. G., Scheltens P., Holstege H., Amouyel P., Schellenberg G. D., Williams J., Seshadri S., van Duijn C. M., Mather K. A., Sanchez-Valle R., Blennow K., Huisman M., Andreassen O. A., Posthuma D., van der Flier W. M., Ramirez A., Lambert J. -C., van der Lee S. J., de Rojas I., de Rojas, I, Moreno-Grau, S, Tesi, N, Grenier-Boley, B, Andrade, V, Jansen, I, Pedersen, N, Stringa, N, Zettergren, A, Hernandez, I, Montrreal, L, Antunez, C, Antonell, A, Tankard, R, Bis, J, Sims, R, Bellenguez, C, Quintela, I, Gonzalez-Perez, A, Calero, M, Franco-Macias, E, Macias, J, Blesa, R, Cervera-Carles, L, Menendez-Gonzalez, M, Frank-Garcia, A, Royo, J, Moreno, F, Huerto Vilas, R, Baquero, M, Diez-Fairen, M, Lage, C, Garcia-Madrona, S, Garcia-Gonzalez, P, Alarcon-Martin, E, Valero, S, Sotolongo-Grau, O, Ullgren, A, Naj, A, Lemstra, A, Benaque, A, Perez-Cordon, A, Benussi, A, Rabano, A, Padovani, A, Squassina, A, de Mendonca, A, Arias Pastor, A, Kok, A, Meggy, A, Pastor, A, Espinosa, A, Corma-Gomez, A, Martin Montes, A, Sanabria, A, Destefano, A, Schneider, A, Haapasalo, A, Kinhult Stahlbom, A, Tybjaerg-Hansen, A, Hartmann, A, Spottke, A, Corbaton-Anchuelo, A, Rongve, A, Borroni, B, Arosio, B, Nacmias, B, Nordestgaard, B, Kunkle, B, Charbonnier, C, Abdelnour, C, Masullo, C, Martinez Rodriguez, C, Munoz-Fernandez, C, Dufouil, C, Graff, C, Ferreira, C, Chillotti, C, Reynolds, C, Fenoglio, C, Van Broeckhoven, C, Clark, C, Pisanu, C, Satizabal, C, Holmes, C, Buiza-Rueda, D, Aarsland, D, Rujescu, D, Alcolea, D, Galimberti, D, Wallon, D, Seripa, D, Grunblatt, E, Dardiotis, E, Duzel, E, Scarpini, E, Conti, E, Rubino, E, Gelpi, E, Rodriguez-Rodriguez, E, Duron, E, Boerwinkle, E, Ferri, E, Tagliavini, F, Kucukali, F, Pasquier, F, Sanchez-Garcia, F, Mangialasche, F, Jessen, F, Nicolas, G, Selbaek, G, Ortega, G, Chene, G, Hadjigeorgiou, G, Rossi, G, Spalletta, G, Giaccone, G, Grande, G, Binetti, G, Papenberg, G, Hampel, H, Bailly, H, Zetterberg, H, Soininen, H, Karlsson, I, Alvarez, I, Appollonio, I, Giegling, I, Skoog, I, Saltvedt, I, Rainero, I, Rosas Allende, I, Hort, J, Diehl-Schmid, J, Van Dongen, J, Vidal, J, Lehtisalo, J, Wiltfang, J, Thomassen, J, Kornhuber, J, Haines, J, Vogelgsang, J, Pineda, J, Fortea, J, Popp, J, Deckert, J, Buerger, K, Morgan, K, Fliessbach, K, Sleegers, K, Molina-Porcel, L, Kilander, L, Weinhold, L, Farrer, L, Wang, L, Kleineidam, L, Farotti, L, Parnetti, L, Tremolizzo, L, Hausner, L, Benussi, L, Froelich, L, Ikram, M, Deniz-Naranjo, M, Tsolaki, M, Rosende-Roca, M, Lowenmark, M, Hulsman, M, Spallazzi, M, Pericak-Vance, M, Esiri, M, Bernal Sanchez-Arjona, M, Dalmasso, M, Martinez-Larrad, M, Arcaro, M, Nothen, M, Fernandez-Fuertes, M, Dichgans, M, Ingelsson, M, Herrmann, M, Scherer, M, Vyhnalek, M, Kosmidis, M, Yannakoulia, M, Schmid, M, Ewers, M, Heneka, M, Wagner, M, Scamosci, M, Kivipelto, M, Hiltunen, M, Zulaica, M, Alegret, M, Fornage, M, Roberto, N, van Schoor, N, Seidu, N, Banaj, N, Armstrong, N, Scarmeas, N, Scherbaum, N, Goldhardt, O, Hanon, O, Peters, O, Skrobot, O, Quenez, O, Lerch, O, Bossu, P, Caffarra, P, Dionigi Rossi, P, Sakka, P, Mecocci, P, Hoffmann, P, Holmans, P, Fischer, P, Riederer, P, Yang, Q, Marshall, R, Kalaria, R, Mayeux, R, Vandenberghe, R, Cecchetti, R, Ghidoni, R, Frikke-Schmidt, R, Sorbi, S, Hagg, S, Engelborghs, S, Helisalmi, S, Botne Sando, S, Kern, S, Archetti, S, Boschi, S, Fostinelli, S, Gil, S, Mendoza, S, Mead, S, Ciccone, S, Djurovic, S, Heilmann-Heimbach, S, Riedel-Heller, S, Kuulasmaa, T, del Ser, T, Lebouvier, T, Polak, T, Ngandu, T, Grimmer, T, Bessi, V, Escott-Price, V, Giedraitis, V, Deramecourt, V, Maier, W, Jian, X, Pijnenburg, Y, Smith, A, Saenz, A, Bizzarro, A, Lauria, A, Vacca, A, Solomon, A, Anastasiou, A, Richardson, A, Boland, A, Koivisto, A, Daniele, A, Greco, A, Marianthi, A, Mcguinness, B, Fin, B, Ferrari, C, Custodero, C, Ferrarese, C, Ingino, C, Mangone, C, Reyes Toso, C, Martinez, C, Cuesta, C, Muchnik, C, Joachim, C, Ortiz, C, Besse, C, Johansson, C, Zoia, C, Laske, C, Anastasiou, C, Palacio, D, Politis, D, Janowitz, D, Craig, D, Mann, D, Neary, D, Jurgen, D, Daian, D, Belezhanska, D, Kohler, E, Castano, E, Koutsouraki, E, Chipi, E, De Roeck, E, Costantini, E, Vardy, E, Piras, F, Roveta, F, Prestia, F, Assogna, F, Salani, F, Sala, G, Lacidogna, G, Novack, G, Wilcock, G, Thonberg, H, Kolsch, H, Weber, H, Boecker, H, Etchepareborda, I, Piaceri, I, Tuomilehto, J, Lindstrom, J, Laczo, J, Johnston, J, Deleuze, J, Harris, J, Schott, J, Priller, J, Bacha, J, Snowden, J, Lisso, J, Mihova, K, Traykov, L, Morelli, L, Brusco, L, Rainer, M, Takalo, M, Bjerke, M, Del Zompo, M, Serpente, M, Sanchez Abalos, M, Rios, M, Peltonen, M, Herrman, M, Kohler, M, Rojo, M, Jones, M, Orsini, M, Medel, N, Olivar, N, Fox, N, Salvadori, N, Hooper, N, Galeano, P, Solis, P, Bastiani, P, Passmore, P, Heun, R, Antikainen, R, Olaso, R, Perneczky, R, Germani, S, Lopez-Garcia, S, Love, S, Mehrabian, S, Bagnoli, S, Kochen, S, Andreoni, S, Teipel, S, Todd, S, Pickering-Brown, S, Natunen, T, Tegos, T, Laatikainen, T, Strandberg, T, Polvikoski, T, Matoska, V, Ciullo, V, Cores, V, Solfrizzi, V, Lisetti, V, Sevillano, Z, Aguilera, N, Alarcon, E, Boada, M, Buendia, M, Canabate, P, Carracedo, A, Diego, S, Gailhajenet, A, Guitart, M, Ibarria, M, Lafuente, A, Maronas, O, Martin, E, Martinez, M, Marquie, M, Mauleon, A, Moreno, M, Orellana, A, Pancho, A, Peleja, E, Preckler, S, Real, L, Ruiz, A, Saez, M, Serrano-Rios, M, Tarraga, L, Vargas, L, Adarmes-Gomez, A, Alonso, M, Alvarez, V, Amer-Ferrer, G, Antequera, M, Bernal, M, Bullido, M, Burguera, J, Carrillo, F, Carrion-Claro, M, Casajeros, M, Clarimon, J, Cruz-Gamero, J, de Pancorbo, M, Escuela, R, Garrote-Espina, L, Garcia-Alberca, J, Garcia Madrona, S, Garcia-Ribas, G, Gomez-Garre, P, Hevilla, S, Jesus, S, Labrador Espinosa, M, Legaz, A, Lleo, A, Lopez de Munain, A, Macias-Garcia, D, Manzanares, S, Marin, M, Marin-Munoz, J, Marin, T, Martinez, B, Martinez, V, Martinez-Lage Alvarez, P, Medina, M, Mendioroz Iriarte, M, Mir, P, Molinuevo, J, Pastor, P, Perez Tur, J, Perinan-Tocino, T, Pineda-Sanchez, R, Pinol-Ripoll, G, Real de Asua, D, Rodrigo, S, Sanchez del Valle Diaz, R, Sanchez-Juan, P, Sastre, I, Vicente, M, Vigo-Ortega, R, Vivancos, L, Macleod, C, Mccracken, C, Brayne, C, Bresner, C, Grozeva, D, Bellou, E, Sommerville, E, Matthews, F, Leonenko, G, Menzies, G, Windle, G, Harwood, J, Phillips, J, Bennett, K, Luckuck, L, Clare, L, Woods, R, Saad, S, Burholt, V, Kehoe, P, Scheltens, P, Holstege, H, Amouyel, P, Schellenberg, G, Williams, J, Seshadri, S, van Duijn, C, Mather, K, Sanchez-Valle, R, Blennow, K, Huisman, M, Andreassen, O, Posthuma, D, van der Flier, W, Ramirez, A, Lambert, J, van der Lee, S, de Rojas I., Moreno-Grau S., Tesi N., Grenier-Boley B., Andrade V., Jansen I. E., Pedersen N. L., Stringa N., Zettergren A., Hernandez I., Montrreal L., Antunez C., Antonell A., Tankard R. M., Bis J. C., Sims R., Bellenguez C., Quintela I., Gonzalez-Perez A., Calero M., Franco-Macias E., Macias J., Blesa R., Cervera-Carles L., Menendez-Gonzalez M., Frank-Garcia A., Royo J. L., Moreno F., Huerto Vilas R., Baquero M., Diez-Fairen M., Lage C., Garcia-Madrona S., Garcia-Gonzalez P., Alarcon-Martin E., Valero S., Sotolongo-Grau O., Ullgren A., Naj A. C., Lemstra A. W., Benaque A., Perez-Cordon A., Benussi A., Rabano A., Padovani A., Squassina A., de Mendonca A., Arias Pastor A., Kok A. A. L., Meggy A., Pastor A. B., Espinosa A., Corma-Gomez A., Martin Montes A., Sanabria A., DeStefano A. L., Schneider A., Haapasalo A., Kinhult Stahlbom A., Tybjaerg-Hansen A., Hartmann A. M., Spottke A., Corbaton-Anchuelo A., Rongve A., Borroni B., Arosio B., Nacmias B., Nordestgaard B. G., Kunkle B. W., Charbonnier C., Abdelnour C., Masullo C., Martinez Rodriguez C., Munoz-Fernandez C., Dufouil C., Graff C., Ferreira C. B., Chillotti C., Reynolds C. A., Fenoglio C., Van Broeckhoven C., Clark C., Pisanu C., Satizabal C. L., Holmes C., Buiza-Rueda D., Aarsland D., Rujescu D., Alcolea D., Galimberti D., Wallon D., Seripa D., Grunblatt E., Dardiotis E., Duzel E., Scarpini E., Conti E., Rubino E., Gelpi E., Rodriguez-Rodriguez E., Duron E., Boerwinkle E., Ferri E., Tagliavini F., Kucukali F., Pasquier F., Sanchez-Garcia F., Mangialasche F., Jessen F., Nicolas G., Selbaek G., Ortega G., Chene G., Hadjigeorgiou G., Rossi G., Spalletta G., Giaccone G., Grande G., Binetti G., Papenberg G., Hampel H., Bailly H., Zetterberg H., Soininen H., Karlsson I. K., Alvarez I., Appollonio I., Giegling I., Skoog I., Saltvedt I., Rainero I., Rosas Allende I., Hort J., Diehl-Schmid J., Van Dongen J., Vidal J. -S., Lehtisalo J., Wiltfang J., Thomassen J. Q., Kornhuber J., Haines J. L., Vogelgsang J., Pineda J. A., Fortea J., Popp J., Deckert J., Buerger K., Morgan K., Fliessbach K., Sleegers K., Molina-Porcel L., Kilander L., Weinhold L., Farrer L. A., Wang L. -S., Kleineidam L., Farotti L., Parnetti L., Tremolizzo L., Hausner L., Benussi L., Froelich L., Ikram M. A., Deniz-Naranjo M. C., Tsolaki M., Rosende-Roca M., Lowenmark M., Hulsman M., Spallazzi M., Pericak-Vance M. A., Esiri M., Bernal Sanchez-Arjona M., Dalmasso M. C., Martinez-Larrad M. T., Arcaro M., Nothen M. M., Fernandez-Fuertes M., Dichgans M., Ingelsson M., Herrmann M. J., Scherer M., Vyhnalek M., Kosmidis M. H., Yannakoulia M., Schmid M., Ewers M., Heneka M. T., Wagner M., Scamosci M., Kivipelto M., Hiltunen M., Zulaica M., Alegret M., Fornage M., Roberto N., van Schoor N. M., Seidu N. M., Banaj N., Armstrong N. J., Scarmeas N., Scherbaum N., Goldhardt O., Hanon O., Peters O., Skrobot O. A., Quenez O., Lerch O., Bossu P., Caffarra P., Dionigi Rossi P., Sakka P., Mecocci P., Hoffmann P., Holmans P. A., Fischer P., Riederer P., Yang Q., Marshall R., Kalaria R. N., Mayeux R., Vandenberghe R., Cecchetti R., Ghidoni R., Frikke-Schmidt R., Sorbi S., Hagg S., Engelborghs S., Helisalmi S., Botne Sando S., Kern S., Archetti S., Boschi S., Fostinelli S., Gil S., Mendoza S., Mead S., Ciccone S., Djurovic S., Heilmann-Heimbach S., Riedel-Heller S., Kuulasmaa T., del Ser T., Lebouvier T., Polak T., Ngandu T., Grimmer T., Bessi V., Escott-Price V., Giedraitis V., Deramecourt V., Maier W., Jian X., Pijnenburg Y. A. L., Smith A. D., Saenz A., Bizzarro A., Lauria A., Vacca A., Solomon A., Anastasiou A., Richardson A., Boland A., Koivisto A., Daniele A., Greco A., Marianthi A., McGuinness B., Fin B., Ferrari C., Custodero C., Ferrarese C., Ingino C., Mangone C., Reyes Toso C., Martinez C., Cuesta C., Muchnik C., Joachim C., Ortiz C., Besse C., Johansson C., Zoia C. P., Laske C., Anastasiou C., Palacio D. L., Politis D. G., Janowitz D., Craig D., Mann D. M., Neary D., Jurgen D., Daian D., Belezhanska D., Kohler E., Castano E. M., Koutsouraki E., Chipi E., De Roeck E., Costantini E., Vardy E. R. L. C., Piras F., Roveta F., Prestia F. A., Assogna F., Salani F., Sala G., Lacidogna G., Novack G., Wilcock G., Thonberg H., Kolsch H., Weber H., Boecker H., Etchepareborda I., Piaceri I., Tuomilehto J., Lindstrom J., Laczo J., Johnston J., Deleuze J. -F., Harris J., Schott J. M., Priller J., Bacha J. I., Snowden J., Lisso J., Mihova K. Y., Traykov L., Morelli L., Brusco L. I., Rainer M., Takalo M., Bjerke M., Del Zompo M., Serpente M., Sanchez Abalos M., Rios M., Peltonen M., Herrman M. J., Kohler M., Rojo M., Jones M., Orsini M., Medel N., Olivar N., Fox N. C., Salvadori N., Hooper N. M., Galeano P., Solis P., Bastiani P., Passmore P., Heun R., Antikainen R., Olaso R., Perneczky R., Germani S., Lopez-Garcia S., Love S., Mehrabian S., Bagnoli S., Kochen S., Andreoni S., Teipel S., Todd S., Pickering-Brown S., Natunen T., Tegos T., Laatikainen T., Strandberg T., Polvikoski T. M., Matoska V., Ciullo V., Cores V., Solfrizzi V., Lisetti V., Sevillano Z., Aguilera N., Alarcon E., Boada M., Buendia M., Canabate P., Carracedo A., Diego S., Gailhajenet A., Guitart M., Ibarria M., Lafuente A., Maronas O., Martin E., Martinez M. T., Marquie M., Mauleon A., Moreno M., Orellana A., Pancho A., Peleja E., Preckler S., Real L. M., Ruiz A., Saez M. E., Serrano-Rios M., Tarraga L., Vargas L., Adarmes-Gomez A. D., Alonso M. D., Alvarez V., Amer-Ferrer G., Antequera M., Bernal M., Bullido M. J., Burguera J. A., Carrillo F., Carrion-Claro M., Casajeros M. J., Clarimon J., Cruz-Gamero J. M., de Pancorbo M. M., Escuela R., Garrote-Espina L., Garcia-Alberca J. M., Garcia Madrona S., Garcia-Ribas G., Gomez-Garre P., Hevilla S., Jesus S., Labrador Espinosa M. A., Legaz A., Lleo A., Lopez de Munain A., Macias-Garcia D., Manzanares S., Marin M., Marin-Munoz J., Marin T., Martinez B., Martinez V., Martinez-Lage Alvarez P., Medina M., Mendioroz Iriarte M., Mir P., Molinuevo J. L., Pastor P., Perez Tur J., Perinan-Tocino T., Pineda-Sanchez R., Pinol-Ripoll G., Real de Asua D., Rodrigo S., Sanchez del Valle Diaz R., Sanchez-Juan P., Sastre I., Vicente M. P., Vigo-Ortega R., Vivancos L., Macleod C., McCracken C., Brayne C., Bresner C., Grozeva D., Bellou E., Sommerville E. W., Matthews F., Leonenko G., Menzies G., Windle G., Harwood J., Phillips J., Bennett K., Luckuck L., Clare L., Woods R., Saad S., Burholt V., Kehoe P. G., Scheltens P., Holstege H., Amouyel P., Schellenberg G. D., Williams J., Seshadri S., van Duijn C. M., Mather K. A., Sanchez-Valle R., Blennow K., Huisman M., Andreassen O. A., Posthuma D., van der Flier W. M., Ramirez A., Lambert J. -C., and van der Lee S. J.

Abstract

The original version of this Article omitted from the author list the 212th author Patrizia Mecocci, who is from the Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy. Consequently, the “Sample Contribution” section of Author Contributions was updated to add “P.M” between “P.D.” and “R.C.”. Additionally, the original version of this Article contained the incorrect affiliation for author Patrick Gavin Kehoe, which incorrectly read “German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany”. The correct version replaces this affiliation with “Bristol Medical School (THS), University of Bristol, Southmead Hospital, Bristol, UK”. This has been corrected in both the PDF and HTML versions of the Article.

Published
2023

36. Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases

Author

Gusev, Alexander, Lee, S Hong, Trynka, Gosia, Finucane, Hilary, Vilhjálmsson, Bjarni J, Xu, Han, Zang, Chongzhi, Ripke, Stephan, Bulik-Sullivan, Brendan, Stahl, Eli, Kähler, Anna K, Hultman, Christina M, Purcell, Shaun M, McCarroll, Steven A, Daly, Mark J, Pasaniuc, Bogdan, Sullivan, Patrick F, Neale, Benjamin M, Wray, Naomi R, Raychaudhuri, Soumya, Price, Alkes, Corvin, Aiden, Walters, James TR, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Børglum, Anders D, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, DeLisi, Lynn E, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Fromer, Menachem, Genovese, Giulio, and Georgieva, Lyudmila

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Prevention, Computer Simulation, Genetic Diseases, Inborn, Genetic Variation, Genome-Wide Association Study, Humans, Inheritance Patterns, Models, Genetic, Open Reading Frames, Regulatory Elements, Transcriptional, Schizophrenia Working Group of the Psychiatric Genomics Consortium, SWE-SCZ Consortium, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Regulatory and coding variants are known to be enriched with associations identified by genome-wide association studies (GWASs) of complex disease, but their contributions to trait heritability are currently unknown. We applied variance-component methods to imputed genotype data for 11 common diseases to partition the heritability explained by genotyped SNPs (hg(2)) across functional categories (while accounting for shared variance due to linkage disequilibrium). Extensive simulations showed that in contrast to current estimates from GWAS summary statistics, the variance-component approach partitions heritability accurately under a wide range of complex-disease architectures. Across the 11 diseases DNaseI hypersensitivity sites (DHSs) from 217 cell types spanned 16% of imputed SNPs (and 24% of genotyped SNPs) but explained an average of 79% (SE = 8%) of hg(2) from imputed SNPs (5.1× enrichment; p = 3.7 × 10(-17)) and 38% (SE = 4%) of hg(2) from genotyped SNPs (1.6× enrichment, p = 1.0 × 10(-4)). Further enrichment was observed at enhancer DHSs and cell-type-specific DHSs. In contrast, coding variants, which span 1% of the genome, explained

Published
2014

37. Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia

Author

Ruderfer, DM, Fanous, AH, Ripke, S, McQuillin, A, Amdur, RL, Gejman, PV, O'Donovan, MC, Andreassen, OA, Djurovic, S, Hultman, CM, Kelsoe, JR, Jamain, S, Landén, M, Leboyer, M, Nimgaonkar, V, Nurnberger, J, Smoller, JW, Craddock, N, Corvin, A, Sullivan, PF, Holmans, P, Sklar, P, and Kendler, KS

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Brain Disorders, Serious Mental Illness, Genetics, Schizophrenia, Prevention, Mental Health, Bipolar Disorder, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Mental health, Calcium Channels, L-Type, Case-Control Studies, Cell Cycle Proteins, Factor Analysis, Statistical, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Nuclear Proteins, Odds Ratio, Phenotype, Phosphatidylinositol 3-Kinases, Polymorphism, Single Nucleotide, Schizophrenic Psychology, bipolar, clinical symptoms, cross disorder, polygenic, schizophrenia, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Bipolar disorder and schizophrenia are two often severe disorders with high heritabilities. Recent studies have demonstrated a large overlap of genetic risk loci between these disorders but diagnostic and molecular distinctions still remain. Here, we perform a combined genome-wide association study (GWAS) of 19 779 bipolar disorder (BP) and schizophrenia (SCZ) cases versus 19 423 controls, in addition to a direct comparison GWAS of 7129 SCZ cases versus 9252 BP cases. In our case-control analysis, we identify five previously identified regions reaching genome-wide significance (CACNA1C, IFI44L, MHC, TRANK1 and MAD1L1) and a novel locus near PIK3C2A. We create a polygenic risk score that is significantly different between BP and SCZ and show a significant correlation between a BP polygenic risk score and the clinical dimension of mania in SCZ patients. Our results indicate that first, combining diseases with similar genetic risk profiles improves power to detect shared risk loci and second, that future direct comparisons of BP and SCZ are likely to identify loci with significant differential effects. Identifying these loci should aid in the fundamental understanding of how these diseases differ biologically. These findings also indicate that combining clinical symptom dimensions and polygenic signatures could provide additional information that may someday be used clinically.

Published
2014

38. Biological insights from 108 schizophrenia-associated genetic loci

Author

Ripke, Stephan, Neale, Benjamin M, Corvin, Aiden, Walters, James TR, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A Jr, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Giegling, Ina, Giusti-Rodriguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Hammer, Christian, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M, Henskens, Frans A, Herms, Stefan, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V, Hougaard, David M, Ikeda, Masashi, and Joa, Inge

Subjects
Human Genome, Brain Disorders, Serious Mental Illness, Prevention, Schizophrenia, Genetics, Neurosciences, Mental Health, 2.1 Biological and endogenous factors, Aetiology, Mental health, Alleles, Brain, Enhancer Elements, Genetic, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Glutamic Acid, Humans, Immunity, Multifactorial Inheritance, Mutation, Odds Ratio, Polymorphism, Single Nucleotide, Synaptic Transmission, Schizophrenia Working Group of the Psychiatric Genomics Consortium, General Science & Technology
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.

Published
2014

39. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

Author

Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik KE, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Multicenter Genetic Studies of Schizophrenia Consortium, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Psychosis Endophenotypes International Consortium, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, and Collier, David

Subjects
Multicenter Genetic Studies of Schizophrenia Consortium, Psychosis Endophenotypes International Consortium, Wellcome Trust Case Control Consortium 2, Humans, Genetic Predisposition to Disease, Case-Control Studies, Schizophrenia, Polymorphism, Single Nucleotide, Sweden, Female, Male, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300-10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.

Published
2013

40. High Loading of Polygenic Risk for ADHD in Children With Comorbid Aggression

Author

Hamshere, Marian L, Langley, Kate, Martin, Joanna, Agha, Sharifah Shameem, Stergiakouli, Evangelia, Anney, Richard JL, Buitelaar, Jan, Faraone, Stephen V, Lesch, Klaus-Peter, Neale, Benjamin M, Franke, Barbara, Sonuga-Barke, Edmund, Asherson, Philip, Merwood, Andrew, Kuntsi, Jonna, Medland, Sarah E, Ripke, Stephan, Steinhausen, Hans-Christoph, Freitag, Christine, Reif, Andreas, Renner, Tobias J, Romanos, Marcel, Romanos, Jasmin, Warnke, Andreas, Meyer, Jobst, Palmason, Haukur, Vasquez, Alejandro Arias, Lambregts-Rommelse, Nanda, Roeyers, Herbert, Biederman, Joseph, Doyle, Alysa E, Hakonarson, Hakon, Rothenberger, Aribert, Banaschewski, Tobias, Oades, Robert D, McGough, James J, Kent, Lindsey, Williams, Nigel, Owen, Michael J, Holmans, Peter, O’Donovan, Michael C, and Thapar, Anita

Subjects
Prevention, Behavioral and Social Science, Human Genome, Genetics, Mental Health, Attention Deficit Hyperactivity Disorder (ADHD), Clinical Research, Brain Disorders, Pediatric, Aetiology, 2.1 Biological and endogenous factors, Mental health, Aggression, Anxiety Disorders, Attention Deficit Disorder with Hyperactivity, Child, Child, Preschool, Comorbidity, Conduct Disorder, Depressive Disorder, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Male, Multifactorial Inheritance, United Kingdom, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

OBJECTIVE Although attention deficit hyperactivity disorder (ADHD) is highly heritable, genome-wide association studies (GWAS) have not yet identified any common genetic variants that contribute to risk. There is evidence that aggression or conduct disorder in children with ADHD indexes higher genetic loading and clinical severity. The authors examine whether common genetic variants considered en masse as polygenic scores for ADHD are especially enriched in children with comorbid conduct disorder. METHOD Polygenic scores derived from an ADHD GWAS meta-analysis were calculated in an independent ADHD sample (452 case subjects, 5,081 comparison subjects). Multivariate logistic regression analyses were employed to compare polygenic scores in the ADHD and comparison groups and test for higher scores in ADHD case subjects with comorbid conduct disorder relative to comparison subjects and relative to those without comorbid conduct disorder. Association with symptom scores was tested using linear regression. RESULTS Polygenic risk for ADHD, derived from the meta-analysis, was higher in the independent ADHD group than in the comparison group. Polygenic score was significantly higher in ADHD case subjects with conduct disorder relative to ADHD case subjects without conduct disorder. ADHD polygenic score showed significant association with comorbid conduct disorder symptoms. This relationship was explained by the aggression items. CONCLUSIONS Common genetic variation is relevant to ADHD, especially in individuals with comorbid aggression. The findings suggest that the previously published ADHD GWAS meta-analysis contains weak but true associations with common variants, support for which falls below genome-wide significance levels. The findings also highlight the fact that aggression in ADHD indexes genetic as well as clinical severity.

Published
2013

41. Genome-Wide Association Study of Clinical Dimensions of Schizophrenia: Polygenic Effect on Disorganized Symptoms

Author

Fanous, Ayman H, Zhou, Baiyu, Aggen, Steven H, Bergen, Sarah E, Amdur, Richard L, Duan, Jubao, Sanders, Alan R, Shi, Jianxin, Mowry, Bryan J, Olincy, Ann, Amin, Farooq, Cloninger, C Robert, Silverman, Jeremy M, Buccola, Nancy G, Byerley, William F, Black, Donald W, Freedman, Robert, Dudbridge, Frank, Holmans, Peter A, Ripke, Stephan, Gejman, Pablo V, Kendler, Kenneth S, and Levinson, Douglas F

Subjects
Mental Health, Serious Mental Illness, Clinical Research, Brain Disorders, Genetics, Prevention, Schizophrenia, Biotechnology, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Case-Control Studies, Factor Analysis, Statistical, Female, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Male, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Psychiatric Status Rating Scales, Schizophrenic Psychology, Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveMultiple sources of evidence suggest that genetic factors influence variation in clinical features of schizophrenia. The authors present the first genome-wide association study (GWAS) of dimensional symptom scores among individuals with schizophrenia.MethodBased on the Lifetime Dimensions of Psychosis Scale ratings of 2,454 case subjects of European ancestry from the Molecular Genetics of Schizophrenia (MGS) sample, three symptom factors (positive, negative/disorganized, and mood) were identified with exploratory factor analysis. Quantitative scores for each factor from a confirmatory factor analysis were analyzed for association with 696,491 single-nucleotide polymorphisms (SNPs) using linear regression, with correction for age, sex, clinical site, and ancestry. Polygenic score analysis was carried out to determine whether case and comparison subjects in 16 Psychiatric GWAS Consortium (PGC) schizophrenia samples (excluding MGS samples) differed in scores computed by weighting their genotypes by MGS association test results for each symptom factor.ResultsNo genome-wide significant associations were observed between SNPs and factor scores. Most of the SNPs producing the strongest evidence for association were in or near genes involved in neurodevelopment, neuroprotection, or neurotransmission, including genes playing a role in Mendelian CNS diseases, but no statistically significant effect was observed for any defined gene pathway. Finally, polygenic scores based on MGS GWAS results for the negative/disorganized factor were significantly different between case and comparison subjects in the PGC data set; for MGS subjects, negative/disorganized factor scores were correlated with polygenic scores generated using case-control GWAS results from the other PGC samples.ConclusionsThe polygenic signal that has been observed in cross-sample analyses of schizophrenia GWAS data sets could be in part related to genetic effects on negative and disorganized symptoms (i.e., core features of chronic schizophrenia).

Published
2012

42. Genome-Wide Analysis of Copy Number Variants in Attention Deficit Hyperactivity Disorder: The Role of Rare Variants and Duplications at 15q13.3

Author

Williams, Nigel M, Franke, Barbara, Mick, Eric, Anney, Richard JL, Freitag, Christine M, Gill, Michael, Thapar, Anita, O'Donovan, Michael C, Owen, Michael J, Holmans, Peter, Kent, Lindsey, Middleton, Frank, Zhang-James, Yanli, Liu, Lu, Meyer, Jobst, Nguyen, Thuy Trang, Romanos, Jasmin, Romanos, Marcel, Seitz, Christiane, Renner, Tobias J, Walitza, Susanne, Warnke, Andreas, Palmason, Haukur, Buitelaar, Jan, Rommelse, Nanda, Vasquez, Alejandro Arias, Hawi, Ziarih, Langley, Kate, Sergeant, Joseph, Steinhausen, Hans-Christoph, Roeyers, Herbert, Biederman, Joseph, Zaharieva, Irina, Hakonarson, Hakon, Elia, Josephine, Lionel, Anath C, Crosbie, Jennifer, Marshall, Christian R, Schachar, Russell, Scherer, Stephen W, Todorov, Alexandre, Smalley, Susan L, Loo, Sandra, Nelson, Stanley, Shtir, Corina, Asherson, Philip, Reif, Andreas, Lesch, Klaus-Peter, and Faraone, Stephen V

Subjects
Human Genome, Clinical Research, Mental Health, Genetics, Pediatric, Attention Deficit Hyperactivity Disorder (ADHD), Brain Disorders, Serious Mental Illness, 2.1 Biological and endogenous factors, Aetiology, Adolescent, Attention Deficit Disorder with Hyperactivity, Canada, Causality, Child, Child, Preschool, Female, Gene Dosage, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, In Situ Hybridization, Fluorescence, Inheritance Patterns, Polymorphism, Single Nucleotide, Receptors, Nicotinic, Segmental Duplications, Genomic, United Kingdom, United States, alpha7 Nicotinic Acetylcholine Receptor, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveAttention deficit hyperactivity disorder (ADHD) is a common, highly heritable psychiatric disorder. Because of its multifactorial etiology, however, identifying the genes involved has been difficult. The authors followed up on recent findings suggesting that rare copy number variants (CNVs) may be important for ADHD etiology.MethodThe authors performed a genome-wide analysis of large, rare CNVs (100 kb in size, which segregated into 912 independent loci. Overall, the rate of rare CNVs >100 kb was 1.15 times higher in ADHD case subjects relative to comparison subjects, with duplications spanning known genes showing a 1.2-fold enrichment. In accordance with a previous study, rare CNVs >500 kb showed the greatest enrichment (1.28-fold). CNVs identified in ADHD case subjects were significantly enriched for loci implicated in autism and in schizophrenia. Duplications spanning the CHRNA7 gene at chromosome 15q13.3 were associated with ADHD in single-locus analysis. This finding was consistently replicated in an additional 2,242 ADHD case subjects and 8,552 comparison subjects from four independent cohorts from the United Kingdom, the United States, and Canada. Presence of the duplication at 15q13.3 appeared to be associated with comorbid conduct disorder.ConclusionsThese findings support the enrichment of large, rare CNVs in ADHD and implicate duplications at 15q13.3 as a novel risk factor for ADHD. With a frequency of 0.6% in the populations investigated and a relatively large effect size (odds ratio=2.22, 95% confidence interval=1.5–3.6), this locus could be an important contributor to ADHD etiology.

Published
2012

43. Investigating the Contribution of Common Genetic Variants to the Risk and Pathogenesis of ADHD

Author

Stergiakouli, Evangelia, Hamshere, Marian, Holmans, Peter, Langley, Kate, Zaharieva, Irina, Hawi, Ziarah, Kent, Lindsey, Gill, Michael, Williams, Nigel, Owen, Michael J, O'Donovan, Michael, and Thapar, Anita

Subjects
Prevention, Brain Disorders, Mental Health, Biotechnology, Clinical Research, Human Genome, Genetics, Pediatric, Attention Deficit Hyperactivity Disorder (ADHD), 2.1 Biological and endogenous factors, Aetiology, Adolescent, Attention Deficit Disorder with Hyperactivity, Child, Female, Gene Dosage, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inheritance Patterns, Linkage Disequilibrium, Male, Polymorphism, Single Nucleotide, Receptors, Nicotinic, Risk Assessment, alpha7 Nicotinic Acetylcholine Receptor, deCODE Genetics, Psychiatric GWAS Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveA major motivation for seeking disease-associated genetic variation is to identify novel risk processes. Although rare copy number variants (CNVs) appear to contribute to attention deficit hyperactivity disorder (ADHD), common risk variants (single-nucleotide polymorphisms [SNPs]) have not yet been detected using genome-wide association studies (GWAS). This raises the concern as to whether future larger-scale, adequately powered GWAS will be worthwhile. The authors undertook a GWAS of ADHD and examined whether associated SNPs, including those below conventional levels of significance, influenced the same biological pathways affected by CNVs.MethodThe authors analyzed genome-wide SNP frequencies in 727 children with ADHD and 5,081 comparison subjects. The gene sets that were enriched in a pathway analysis of the GWAS data (the top 5% of SNPs) were tested for an excess of genes spanned by large, rare CNVs in the children with ADHD.ResultsNo SNP achieved genome-wide significance levels. As previously reported in a subsample of the present study, large, rare CNVs were significantly more common in case subjects than comparison subjects. Thirteen biological pathways enriched for SNP association significantly overlapped with those enriched for rare CNVs. These included cholesterol-related and CNS development pathways. At the level of individual genes, CHRNA7, which encodes a nicotinic receptor subunit previously implicated in neuropsychiatric disorders, was affected by six large duplications in case subjects (none in comparison subjects), and SNPs in the gene had a gene-wide p value of 0.0002 for association in the GWAS.ConclusionsBoth common and rare genetic variants appear to be relevant to ADHD and index-shared biological pathways.

Published
2012

46. Timing and Impact of Psychiatric, Cognitive, and Motor Abnormalities in Huntington Disease

Author

Mcallister, B., Gusella, J. F., Landwehrmeyer, G. B., Lee, J. -M., Macdonald, M. E., Orth, M., Rosser, A. E., Williams, N. M., Holmans, P., Jones, L., Massey, T. H., the REGISTRY Investigators of the European Huntington’s Disease Network, and Romano, S.

Subjects
neuropsychological tests, 0301 basic medicine, medicine.medical_specialty, Psychosis, adult, aged, cognition disorders, female, humans, huntington disease, male, mental disorders, middle aged, motor skills disorders, retrospective studies, time factors, internationality, Disease, Irritability, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, medicine, Apathy, Psychiatry, Depression (differential diagnoses), business.industry, Cognition, medicine.disease, 030104 developmental biology, Neurology (clinical), medicine.symptom, Age of onset, business, 030217 neurology & neurosurgery
Abstract

ObjectiveTo assess the prevalence, timing, and functional impact of psychiatric, cognitive, and motor abnormalities in Huntington disease (HD) gene carriers, we analyzed retrospective clinical data from individuals with manifest HD.MethodsClinical features of patients with HD were analyzed for 6,316 individuals in an observational study of the European Huntington's Disease Network (REGISTRY) from 161 sites across 17 countries. Data came from clinical history and the patient-completed Clinical Characteristics Questionnaire that assessed 8 symptoms: motor, cognitive, apathy, depression, perseverative/obsessive behavior, irritability, violent/aggressive behavior, and psychosis. Multiple logistic regression was used to analyze relationships between symptoms and functional outcomes.ResultsThe initial manifestation of HD is increasingly likely to be motor and less likely to be psychiatric as age at presentation increases and is independent of pathogenic CAG repeat length. The Clinical Characteristics Questionnaire captures data on nonmotor symptom prevalence that correlate specifically with validated clinical measures. Psychiatric and cognitive symptoms are common in HD gene carriers, with earlier onsets associated with longer CAG repeats. Of patients with HD, 42.4% reported at least 1 psychiatric or cognitive symptom before motor symptoms, with depression most common. Each nonmotor symptom was associated with significantly reduced total functional capacity scores.ConclusionsPsychiatric and cognitive symptoms are common and functionally debilitating in HD gene carriers. They require recognition and targeting with clinical outcome measures and treatments. However, because it is impossible to distinguish confidently between nonmotor symptoms arising from HD and primary psychiatric disorders, particularly in younger premanifest patients, nonmotor symptoms should not be used to make a clinical diagnosis of HD.Trial Registration InformationClinicalTrials.gov Identifier: NCT01590589

Published
2021
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47. Genome-wide common and rare variant analysis provides novel insights into clozapine-associated neutropenia

Author

Legge, S E, Hamshere, M L, Ripke, S, Pardinas, A F, Goldstein, J I, Rees, E, Richards, A L, Leonenko, G, Jorskog, L F, Consortium, Clozapine-Induced Agranulocytosis, Chambert, K D, Collier, D A, Genovese, G, Giegling, I, Holmans, P, Jonasdottir, A, Kirov, G, McCarroll, S A, MacCabe, J H, Mantripragada, K, Moran, J L, Neale, B M, Stefansson, H, Rujescu, D, Daly, M J, Sullivan, P F, Owen, M J, OʼDonovan, M C, and Walters, J TR

Published
2018
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48. Genome-wide common and rare variant analysis provides novel insights into clozapine-associated neutropenia

Author

Legge, S E, Hamshere, M L, Ripke, S, Pardinas, A F, Goldstein, J I, Rees, E, Richards, A L, Leonenko, G, Jorskog, L F, Chambert, K D, Collier, D A, Genovese, G, Giegling, I, Holmans, P, Jonasdottir, A, Kirov, G, McCarroll, S A, MacCabe, J H, Mantripragada, K, Moran, J L, Neale, B M, Stefansson, H, Rujescu, D, Daly, M J, Sullivan, P F, Owen, M J, OʼDonovan, M C, and Walters, J TR

Published
2017
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49. A novel Alzheimer disease locus located near the gene encoding tau protein

Author

Jun, G, Ibrahim-Verbaas, C A, Vronskaya, M, Lambert, J-C, Chung, J, Naj, A C, Kunkle, B W, Wang, L-S, Bis, J C, Bellenguez, C, Harold, D, Lunetta, K L, Destefano, A L, Grenier-Boley, B, Sims, R, Beecham, G W, Smith, A V, Chouraki, V, Hamilton-Nelson, K L, Ikram, M A, Fievet, N, Denning, N, Martin, E R, Schmidt, H, Kamatani, Y, Dunstan, M L, Valladares, O, Laza, A R, Zelenika, D, Ramirez, A, Foroud, T M, Choi, S-H, Boland, A, Becker, T, Kukull, W A, van der Lee, S J, Pasquier, F, Cruchaga, C, Beekly, D, Fitzpatrick, A L, Hanon, O, Gill, M, Barber, R, Gudnason, V, Campion, D, Love, S, Bennett, D A, Amin, N, Berr, C, Tsolaki, Magda, Buxbaum, J D, Lopez, O L, Deramecourt, V, Fox, N C, Cantwell, L B, Tárraga, L, Dufouil, C, Hardy, J, Crane, P K, Eiriksdottir, G, Hannequin, D, Clarke, R, Evans, D, Mosley, Jr., T H, Letenneur, L, Brayne, C, Maier, W, De Jager, P, Emilsson, V, Dartigues, J-F, Hampel, H, Kamboh, M I, de Bruijn, R F A G, Tzourio, C, Pastor, P, Larson, E B, Rotter, J I, O'Donovan, M C, Montine, T J, Nalls, M A, Mead, S, Reiman, E M, Jonsson, P V, Holmes, C, St George-Hyslop, P H, Boada, M, Passmore, P, Wendland, J R, Schmidt, R, Morgan, K, Winslow, A R, Powell, J F, Carasquillo, M, Younkin, S G, Jakobsdóttir, J, Kauwe, J S K, Wilhelmsen, K C, Rujescu, D, Nöthen, M M, Hofman, A, Jones, L, Haines, J L, Psaty, B M, Van Broeckhoven, C, Holmans, P, Launer, L J, Mayeux, R, Lathrop, M, Goate, A M, Escott-Price, V, Seshadri, S, Pericak-Vance, M A, Amouyel, P, Williams, J, van Duijn, C M, Schellenberg, G D, and Farrer, L A

Published
2016
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50. Genetic risk for schizophrenia is associated with increased proportion of indirect connections in brain networks revealed by a semi-metric analysis: evidence from population sample stratified for polygenic risk

Author

Dimitriadis, S I, primary, Perry, G, additional, Lancaster, T M, additional, Tansey, K E, additional, Singh, K D, additional, Holmans, P, additional, Pocklington, A, additional, Davey Smith, G, additional, Zammit, S, additional, Hall, J, additional, O’Donovan, M C, additional, Owen, M J, additional, Jones, D K, additional, and Linden, D E, additional

Published
2022
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