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2. Irritability in young people with copy number variants associated with neurodevelopmental disorders (ND-CNVs)

Author

Jessica H. Hall, Samuel J. R. A. Chawner, IMAGINE-ID consortium, Jeanne Wolstencroft, David Skuse, Jeremy Hall, Peter Holmans, Michael J. Owen, and Marianne B. M. van den Bree

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract A range of rare mutations involving micro-deletion or -duplication of genetic material (copy number variants (CNVs)) have been associated with high neurodevelopmental and psychiatric risk (ND-CNVs). Irritability is frequently observed in childhood neurodevelopmental conditions, yet its aetiology is largely unknown. Genetic variation may play a role, but there is a sparsity of studies investigating the presentation of irritability in young people with ND-CNVs. This study aimed to investigate whether there is a difference in irritability in young people with rare ND-CNVs compared to those without ND-CNVs, and to what extent irritability is associated with psychiatric diagnoses and cognitive ability (IQ). Irritability and broader psychopathology were assessed in 485 young people with ND-CNVs and 164 sibling controls, using the child and adolescent psychiatric assessment. Autism was assessed using the social communication questionnaire, and intelligence quotient (IQ) by the Wechsler abbreviated scale of intelligence. Fifty four percent of young people with ND-CNVs met the threshold for irritability; significantly more than controls (OR = 3.77, CI = 3.07–7.90, p = 5.31 × 10−11). When controlling for the presence of other psychiatric comorbidities, ND-CNV status was still associated with irritability. There was no evidence for a relationship between irritability and IQ. Irritability is an important aspect of the clinical picture in young people with ND-CNVs. This work shows that genetic variation is associated with irritability in young people with ND-CNVs, independent of psychiatric comorbidities or IQ impairment. Clinicians should be aware of this increased risk to inform management and interventions.

Published
2024
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3. Adverse childhood experiences and multimorbidity of internalising and cardiometabolic conditions in an older-age population.

Author

Lauren Benger, LINC Consortium Benger, Peter Holmans, Michael Owen, Mark Mon-Williams, Ioanna Katzourou, and Marianne van den Bree

Subjects
Demography. Population. Vital events, HB848-3697
Abstract

Background Tackling multimorbidity (ICM-MM) of internalising conditions (IC) and cardiometabolic conditions (CM) is key to improving the future of healthcare. Early life factors such as adverse childhood experiences (ACEs) have been linked to long term, poor mental and physical health conditions. Aims This study investigated whether: 1) ACEs increase the risk of IC, CM and ICM-MM; 2) the effect of ACEs on risk of developing CM depends on the presence of IC and vice versa; 3) how risk differs by gender, socioeconomic status and ethnicity. Methods In UK Biobank, the Childhood Trauma Screener was used to identify 157,256 participants with ACE data. Electronic healthcare records (EHR) and interview data identified those with anxiety or depression (IC) and those with hypertension, obesity, type 2 diabetes, dyslipidaemia or chronic kidney disease (CM). Multivariate logistic regression models were employed to find associations between ACEs and IC, CM and ICM-MM. Covariates included age, gender, ethnicity, socioeconomic status, diet, alcohol intake, smoking behaviour and physical activity. Results All ACEs significantly increase risk for IC (all ACEs, p =

Published
2024
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4. Genetic Implication of Specific Glutamatergic Neurons of the Prefrontal Cortex in the Pathophysiology of Schizophrenia

Author

Claire E. Tume, Sophie L. Chick, Peter A. Holmans, Elliott Rees, Michael C. O’Donovan, Darren Cameron, and Nicholas J. Bray

Subjects
Gene expression, Genetic, Genome-wide association study (GWAS), Prefrontal cortex, Rare variant, Schizophrenia, Psychiatry, RC435-571
Abstract

Background: The prefrontal cortex (PFC) has been strongly implicated in the pathophysiology of schizophrenia. Here, we combined high-resolution single-nuclei RNA sequencing data from the human PFC with large-scale genomic data for schizophrenia to identify constituent cell populations likely to mediate genetic liability to the disorder. Methods: Gene expression specificity values were calculated from a single-nuclei RNA sequencing dataset comprising 84 cell populations from the human PFC, spanning gestation to adulthood. Enrichment of schizophrenia common variant liability and burden of rare protein-truncating coding variants were tested in genes with high expression specificity for each cell type. We also explored schizophrenia common variant associations in relation to gene expression across the developmental trajectory of implicated neurons. Results: Common risk variation for schizophrenia was prominently enriched in genes with high expression specificity for a population of mature layer 4 glutamatergic neurons emerging in infancy. Common variant liability to schizophrenia increased along the developmental trajectory of this neuronal population. Fine-mapped genes at schizophrenia genome-wide association study risk loci had significantly higher expression specificity than other genes in these neurons and in a population of layer 5/6 glutamatergic neurons. People with schizophrenia had a higher rate of rare protein-truncating coding variants in genes expressed by cells of the PFC than control individuals, but no cell population was significantly enriched above this background rate. Conclusions: We identified a population of layer 4 glutamatergic PFC neurons likely to be particularly affected by common variant genetic risk for schizophrenia, which may contribute to disturbances in thalamocortical connectivity in the condition.

Published
2024
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5. 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

6. 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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7. 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, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Neurodegenerative, Alzheimer's Disease, Human Genome, Prevention, Aging, Brain Disorders, Acquired Cognitive Impairment, Neurosciences, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, 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

8. 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

10. 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

11. 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

12. 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

15. 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

16. 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

17. 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, Biotechnology, Serious Mental Illness, Human Genome, Bipolar Disorder, Neurosciences, Brain Disorders, Mental Health, Aetiology, 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

18. 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, Schizophrenia, Serious Mental Illness, Genetics, Mental Health, Brain Disorders, Prevention, Human Genome, Aetiology, 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

19. 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

20. 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

21. Huntington’s disease age at motor onset is modified by the tandem hexamer repeat in TCERG1

Author

Sergey V. Lobanov, Branduff McAllister, Mia McDade-Kumar, G. Bernhard Landwehrmeyer, Michael Orth, Anne E. Rosser, REGISTRY Investigators of the European Huntington’s disease network, Jane S. Paulsen, PREDICT-HD Investigators of the Huntington Study Group, Jong-Min Lee, Marcy E. MacDonald, James F. Gusella, Jeffrey D. Long, Mina Ryten, Nigel M. Williams, Peter Holmans, Thomas H. Massey, and Lesley Jones

Subjects
Medicine, Genetics, QH426-470
Abstract

Abstract Huntington’s disease is caused by an expanded CAG tract in HTT. The length of the CAG tract accounts for over half the variance in age at onset of disease, and is influenced by other genetic factors, mostly implicating the DNA maintenance machinery. We examined a single nucleotide variant, rs79727797, on chromosome 5 in the TCERG1 gene, previously reported to be associated with Huntington’s disease and a quasi-tandem repeat (QTR) hexamer in exon 4 of TCERG1 with a central pure repeat. We developed a method for calling perfect and imperfect repeats from exome-sequencing data, and tested association between the QTR in TCERG1 and residual age at motor onset (after correcting for the effects of CAG length in the HTT gene) in 610 individuals with Huntington’s disease via regression analysis. We found a significant association between age at onset and the sum of the repeat lengths from both alleles of the QTR (p = 2.1 × 10−9), with each added repeat hexamer reducing age at onset by one year (95% confidence interval [0.7, 1.4]). This association explained that previously observed with rs79727797. The association with age at onset in the genome-wide association study is due to a QTR hexamer in TCERG1, translated to a glutamine/alanine tract in the protein. We could not distinguish whether this was due to cis-effects of the hexamer repeat on gene expression or of the encoded glutamine/alanine tract in the protein. These results motivate further study of the mechanisms by which TCERG1 modifies onset of HD.

Published
2022
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22. 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

23. 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, Serious Mental Illness, Mental Health, Human Genome, Brain Disorders, Schizophrenia, Aetiology, 2.1 Biological and endogenous factors, Mental health, Bipolar Disorder, 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

24. 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

25. 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

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

Author

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

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

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

Author

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

Subjects
Medicine, Science
Abstract

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
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28. Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Author

Yu-Han H. Hsu, Greta Pintacuda, Ruize Liu, Eugeniu Nacu, April Kim, Kalliopi Tsafou, Natalie Petrossian, William Crotty, Jung Min Suh, Jackson Riseman, Jacqueline M. Martin, Julia C. Biagini, Daya Mena, Joshua K.T. Ching, Edyta Malolepsza, Taibo Li, Tarjinder Singh, Tian Ge, Shawn B. Egri, Benjamin Tanenbaum, Caroline R. Stanclift, Annie M. Apffel, Steven A. Carr, Monica Schenone, Jake Jaffe, Nadine Fornelos, Hailiang Huang, Kevin C. Eggan, Kasper Lage, Stephan Ripke, Benjamin M. Neale, Aiden Corvin, James T.R. Walters, Kai-How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Martin Begemann, Richard A. Belliveau, Jr., Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Dominique Campion, Rita M. Cantor, Vaughan J. Carr, Noa Carrera, Stanley V. Catts, Kimberley D. Chambert, Raymond C.K. Chan, Ronald Y.L. Chan, Eric Y.H. Chen, Wei Cheng, Eric FC. Cheung, Siow Ann Chong, C. Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, James J. Crowley, David Curtis, Michael Davidson, Kenneth L. Davis, Franziska Degenhardt, Jurgen Del Favero, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Srdjan Djurovic, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H. Fanous, Martilias S. Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B. Freimer, Marion Friedl, Joseph I. Friedman, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Ina Giegling, Paola Giusti-Rodríguez, Stephanie Godard, Jacqueline I. Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Lieuwe de Haan, Christian Hammer, Marian L. Hamshere, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Annette M. Hartmann, Frans A. Henskens, Stefan Herms, Joel N. Hirschhorn, Per Hoffmann, Andrea Hofman, Mads V. Hollegaard, David M. Hougaard, Masashi Ikeda, Inge Joa, Antonio Julià, René S. Kahn, Luba Kalaydjieva, Sena Karachanak-Yankova, Juha Karjalainen, David Kavanagh, Matthew C. Keller, James L. Kennedy, Andrey Khrunin, Yunjung Kim, Janis Klovins, James A. Knowles, Bettina Konte, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova-Ptackova, Anna K. Kähler, Claudine Laurent, Jimmy Lee, S. Hong Lee, Sophie E. Legge, Bernard Lerer, Miaoxin Li, Tao Li, Kung-Yee Liang, Jeffrey Lieberman, Svetlana Limborska, Carmel M. Loughland, Jan Lubinski, Jouko Lönnqvist, Milan Macek, Patrik K.E. Magnusson, Brion S. Maher, Wolfgang Maier, Jacques Mallet, Sara Marsal, Manuel Mattheisen, Morten Mattingsdal, Robert W. McCarley, Colm McDonald, Andrew M. McIntosh, Sandra Meier, Carin J. Meijer, Bela Melegh, Ingrid Melle, Raquelle I. Mesholam-Gately, Andres Metspalu, Patricia T. Michie, Lili Milani, Vihra Milanova, Younes Mokrab, Derek W. Morris, Ole Mors, Kieran C. Murphy, Robin M. Murray, Inez Myin-Germeys, Bertram Müller-Myhsok, Mari Nelis, Igor Nenadic, Deborah A. Nertney, Gerald Nestadt, Kristin K. Nicodemus, Liene Nikitina-Zake, Laura Nisenbaum, Annelie Nordin, Eadbhard O'Callaghan, Colm O'Dushlaine, F. Anthony O'Neill, Sang-Yun Oh, Ann Olincy, Line Olsen, Jim Van Os, Christos Pantelis, George N. Papadimitriou, Sergi Papiol, Elena Parkhomenko, Michele T. Pato, Tiina Paunio, Milica Pejovic-Milovancevic, Diana O. Perkins, Olli Pietiläinen, Jonathan Pimm, Andrew J. Pocklington, John Powell, Alkes Price, Ann E. Pulver, Shaun M. Purcell, Digby Quested, Henrik B. Rasmussen, Abraham Reichenberg, Mark A. Reimers, Alexander L. Richards, Joshua L. Roffman, Panos Roussos, Douglas M. Ruderfer, Veikko Salomaa, Alan R. Sanders, Ulrich Schall, Christian R. Schubert, Thomas G. Schulze, Sibylle G. Schwab, Edward M. Scolnick, Rodney J. Scott, Larry J. Seidman, Jianxin Shi, Engilbert Sigurdsson, Teimuraz Silagadze, Jeremy M. Silverman, Kang Sim, Petr Slominsky, Jordan W. Smoller, Hon-Cheong So, Chris C.A. Spencer, Eli A. Stahl, Hreinn Stefansson, Stacy Steinberg, Elisabeth Stogmann, Richard E. Straub, Eric Strengman, Jana Strohmaier, T Scott Stroup, Mythily Subramaniam, Jaana Suvisaari, Dragan M. Svrakic, Jin P. Szatkiewicz, Erik Söderman, Srinivas Thirumalai, Draga Toncheva, Sarah Tosato, Juha Veijola, John Waddington, Dermot Walsh, Dai Wang, Qiang Wang, Bradley T. Webb, Mark Weiser, Dieter B. Wildenauer, Nigel M. Williams, Stephanie Williams, Stephanie H. Witt, Aaron R. Wolen, Emily H.M. Wong, Brandon K. Wormley, Hualin Simon Xi, Clement C. Zai, Xuebin Zheng, Fritz Zimprich, Naomi R. Wray, Kari Stefansson, Peter M. Visscher, Rolf Adolfsson, Ole A. Andreassen, Douglas H.R. Blackwood, Elvira Bramon, Joseph D. Buxbaum, Anders D. Børglum, Sven Cichon, Ariel Darvasi, Enrico Domenici, Hannelore Ehrenreich, Tõnu Esko, Pablo V. Gejman, Michael Gill, Hugh Gurling, Christina M. Hultman, Nakao Iwata, Assen V. Jablensky, Erik G. Jönsson, Kenneth S. Kendler, George Kirov, Jo Knight, Todd Lencz, Douglas F. Levinson, Qingqin S. Li, Jianjun Liu, Anil K. Malhotra, Steven A. McCarroll, Andrew McQuillin, Jennifer L. Moran, Preben B. Mortensen, Bryan J. Mowry, Markus M. Nöthen, Roel A. Ophoff, Michael J. Owen, Aarno Palotie, Carlos N. Pato, Tracey L. Petryshen, Danielle Posthuma, Marcella Rietschel, Brien P. Riley, Dan Rujescu, Pak C. Sham, Pamela Sklar, David St Clair, Daniel R. Weinberger, Jens R. Wendland, Thomas Werge, Mark J. Daly, Patrick F. Sullivan, Michael C. O'Donovan, Shengying Qin, Akira Sawa, Rene Kahn, Kyung Sue Hong, Wenzhao Shi, Ming Tsuang, Masanari Itokawa, Gang Feng, Stephen J. Glatt, Xiancang Ma, Jinsong Tang, Yunfeng Ruan, Feng Zhu, Yasue Horiuchi, Byung Dae Lee, Eun-Jeong Joo, Woojae Myung, Kyooseob Ha, Hong-Hee Won, Ji Hyung Baek, Young Chul Chung, Sung-Wan Kim, Agung Kusumawardhani, Wei J. Chen, Hai-Gwo Hwu, Akitoyo Hishimoto, Ikuo Otsuka, Ichiro Sora, Tomoko Toyota, Takeo Yoshikawa, Hiroshi Kunugi, Kotaro Hattori, Sayuri Ishiwata, Shusuke Numata, Tetsuro Ohmori, Makoto Arai, Yuji Ozeki, Kumiko Fujii, Se Joo Kim, Heon-Jeong Lee, Yong Min Ahn, Se Hyun Kim, Kazufumi Akiyama, Kazutaka Shimoda, and Makoto Kinoshita

Subjects
Molecular interaction, Developmental neuroscience, Cellular neuroscience, Proteomics, Science
Abstract

Summary: Genetics have nominated many schizophrenia risk genes and identified convergent signals between schizophrenia and neurodevelopmental disorders. However, functional interpretation of the nominated genes in the relevant brain cell types is often lacking. We executed interaction proteomics for six schizophrenia risk genes that have also been implicated in neurodevelopment in human induced cortical neurons. The resulting protein network is enriched for common variant risk of schizophrenia in Europeans and East Asians, is down-regulated in layer 5/6 cortical neurons of individuals affected by schizophrenia, and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in individuals with schizophrenia and bipolar disorder. Our findings showcase brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and its related disorders.

Published
2023
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29. 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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30. Exome sequencing of individuals with Huntington’s disease implicates FAN1 nuclease activity in slowing CAG expansion and disease onset

Author

McAllister, Branduff, Donaldson, Jasmine, Binda, Caroline S., Powell, Sophie, Chughtai, Uroosa, Edwards, Gareth, Stone, Joseph, Lobanov, Sergey, Elliston, Linda, Schuhmacher, Laura-Nadine, Rees, Elliott, Menzies, Georgina, Ciosi, Marc, Maxwell, Alastair, Chao, Michael J., Hong, Eun Pyo, Lucente, Diane, Wheeler, Vanessa, Lee, Jong-Min, MacDonald, Marcy E., Long, Jeffrey D., Aylward, Elizabeth H., Landwehrmeyer, G. Bernhard, Rosser, Anne E., Paulsen, Jane S., Williams, Nigel M., Gusella, James F., Monckton, Darren G., Allen, Nicholas D., Holmans, Peter, Jones, Lesley, and Massey, Thomas H.

Published
2022
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32. 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

33. Genetic risk for schizophrenia is associated with altered visually-induced gamma band activity: evidence from a population sample stratified polygenic risk

Author

S. I. Dimitriadis, G. Perry, S. F. Foley, K. E. Tansey, D. K. Jones, P. Holmans, S. Zammit, J. Hall, M. C. O’Donovan, M. J. Owen, K. D. Singh, and D. E. Linden

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Gamma oscillations (30–90 Hz) have been proposed as a signature of cortical visual information processing, particularly the balance between excitation and inhibition, and as a biomarker of neuropsychiatric diseases. Magnetoencephalography (MEG) provides highly reliable visual-induced gamma oscillation estimates, both at sensor and source level. Recent studies have reported a deficit of visual gamma activity in schizophrenia patients, in medication naive subjects, and high-risk clinical participants, but the genetic contribution to such a deficit has remained unresolved. Here, for the first time, we use a genetic risk score approach to assess the relationship between genetic risk for schizophrenia and visual gamma activity in a population-based sample drawn from a birth cohort. We compared visual gamma activity in a group (N = 104) with a high genetic risk profile score for schizophrenia (SCZ-PRS) to a group with low SCZ-PRS (N = 99). Source-reconstructed V1 activity was extracted using beamformer analysis applied to MEG recordings using individual MRI scans. No group differences were found in the induced gamma peak amplitude or peak frequency. However, a non-parametric statistical contrast of the response spectrum revealed more robust group differences in the amplitude of high-beta/gamma power across the frequency range, suggesting that overall spectral shape carries important biological information beyond the individual frequency peak. Our findings show that changes in gamma band activity correlate with liability to schizophrenia and suggest that the index changes to synaptic function and neuronal firing patterns that are of pathophysiological relevance rather than consequences of the disorder.

Published
2021
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34. Schizophrenia, autism spectrum disorders and developmental disorders share specific disruptive coding mutations

Author

Elliott Rees, Hugo D. J. Creeth, Hai-Gwo Hwu, Wei J. Chen, Ming Tsuang, Stephen J. Glatt, Romain Rey, George Kirov, James T. R. Walters, Peter Holmans, Michael J. Owen, and Michael C. O’Donovan

Subjects
Science
Abstract

Overlapping genes have been implicated in schizophrenia and neurodevelopmental disorders. Here, the authors overlap de novo variants in the two types of disorders and find variants in these genes with the same functional effect and in some cases the same specific variants.

Published
2021
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35. Genome-wide association identifies the first risk loci for psychosis in Alzheimer disease

Author

DeMichele-Sweet, Mary Ann A., Klei, Lambertus, Creese, Byron, Harwood, Janet C., Weamer, Elise A., McClain, Lora, Sims, Rebecca, Hernandez, Isabel, Moreno-Grau, Sonia, Tárraga, Lluís, Boada, Mercè, Alarcón-Martín, Emilio, Valero, Sergi, Liu, Yushi, Hooli, Basavaraj, Aarsland, Dag, Selbaek, Geir, Bergh, Sverre, Rongve, Arvid, Saltvedt, Ingvild, Skjellegrind, Håvard K., Engdahl, Bo, Stordal, Eystein, Andreassen, Ole A., Djurovic, Srdjan, Athanasiu, Lavinia, Seripa, Davide, Borroni, Barbara, Albani, Diego, Forloni, Gianluigi, Mecocci, Patrizia, Serretti, Alessandro, De Ronchi, Diana, Politis, Antonis, Williams, Julie, Mayeux, Richard, Foroud, Tatiana, Ruiz, Agustin, Ballard, Clive, Holmans, Peter, Lopez, Oscar L., Kamboh, M. Ilyas, Devlin, Bernie, and Sweet, Robert A.

Published
2021
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36. The impact of genetic risk for Alzheimer’s disease on the structural brain networks of young adults

Author

Anastasia Mirza-Davies, Sonya Foley, Xavier Caseras, Emily Baker, Peter Holmans, Valentina Escott-Price, Derek K. Jones, Judith R. Harrison, and Eirini Messaritaki

Subjects
Avon Longitudinal Study of Parents and Children (ALSPAC), Alzheimer’s disease, polygenic risk score, brain networks, brain structure, diffusion magnetic resonance imaging, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

IntroductionWe investigated the structural brain networks of 562 young adults in relation to polygenic risk for Alzheimer’s disease, using magnetic resonance imaging (MRI) and genotype data from the Avon Longitudinal Study of Parents and Children.MethodsDiffusion MRI data were used to perform whole-brain tractography and generate structural brain networks for the whole-brain connectome, and for the default mode, limbic and visual subnetworks. The mean clustering coefficient, mean betweenness centrality, characteristic path length, global efficiency and mean nodal strength were calculated for these networks, for each participant. The connectivity of the rich-club, feeder and local connections was also calculated. Polygenic risk scores (PRS), estimating each participant’s genetic risk, were calculated at genome-wide level and for nine specific disease pathways. Correlations were calculated between the PRS and (a) the graph theoretical metrics of the structural networks and (b) the rich-club, feeder and local connectivity of the whole-brain networks.ResultsIn the visual subnetwork, the mean nodal strength was negatively correlated with the genome-wide PRS (r = –0.19, p = 1.4 × 10–3), the mean betweenness centrality was positively correlated with the plasma lipoprotein particle assembly PRS (r = 0.16, p = 5.5 × 10–3), and the mean clustering coefficient was negatively correlated with the tau-protein binding PRS (r = –0.16, p = 0.016). In the default mode network, the mean nodal strength was negatively correlated with the genome-wide PRS (r = –0.14, p = 0.044). The rich-club and feeder connectivities were negatively correlated with the genome-wide PRS (r = –0.16, p = 0.035; r = –0.15, p = 0.036).DiscussionWe identified small reductions in brain connectivity in young adults at risk of developing Alzheimer’s disease in later life.

Published
2022
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37. Modest changes in Spi1 dosage reveal the potential for altered microglial function as seen in Alzheimer’s disease

Author

Ruth E. Jones, Robert Andrews, Peter Holmans, Matthew Hill, and Philip R. Taylor

Subjects
Medicine, Science
Abstract

Abstract Genetic association studies have identified multiple variants at the SPI1 locus that modify risk and age of onset for Alzheimer’s Disease (AD). Reports linking risk variants to gene expression suggest that variants denoting higher SPI1 expression are likely to have an earlier AD onset, and several other AD risk genes contain PU.1 binding sites in the promoter region. Overall, this suggests the level of SPI1 may alter microglial phenotype potentially impacting AD. This study determined how the microglial transcriptome was altered following modest changes to Spi1 expression in primary mouse microglia. RNA-sequencing was performed on microglia with reduced or increased Spi1/PU.1 expression to provide an unbiased approach to determine transcriptomic changes affected by Spi1. In summary, a reduction in microglial Spi1 resulted in the dysregulation of transcripts encoding proteins involved in DNA replication pathways while an increased Spi1 results in an upregulation of genes associated with immune response pathways. Additionally, a subset of 194 Spi1 dose-sensitive genes was identified and pathway analysis suggests that several innate immune and interferon response pathways are impacted by the concentration of Spi1. Together these results suggest Spi1 levels can alter the microglial transcriptome and suggests interferon pathways may be altered in individuals with AD related Spi1 risk SNPs.

Published
2021
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38. Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Author

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

Subjects
Science
Abstract

Known genetic loci account for only a fraction of the genetic contribution to Alzheimer’s disease. Here, the authors have performed a large genome-wide meta-analysis comprising 409,435 individuals to discover 6 new loci and demonstrate the efficacy of an Alzheimer’s disease polygenic risk score.

Published
2021
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39. 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

40. 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

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

Author

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

Subjects
Science
Published
2023
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43. Genetic and Phenotypic Features of Schizophrenia in the UK Biobank.

Author

Legge, Sophie E., Pardiñas, Antonio F., Woolway, Grace, Rees, Elliott, Cardno, Alastair G., Escott-Price, Valentina, Holmans, Peter, Kirov, George, Owen, Michael J., O'Donovan, Michael C., and Walters, James T. R.

Subjects
GENETIC risk score, SCHIZOPHRENIA, DNA copy number variations, PSYCHIATRIC research, GENOME-wide association studies, GENETIC correlations, PATERNAL age effect
Abstract

Key Points: Question: How do individuals with a diagnosis of schizophrenia recruited in a large volunteer-based research resource (UK Biobank) differ from those in the Psychiatric Genomics Consortium (PGC) or those recruited from clinical settings? Findings: In this cross-sectional study including more than 517 000 individuals, liability to schizophrenia in the UK Biobank had a high genetic correlation with the PGC. Compared with 4 clinically ascertained schizophrenia samples, UK Biobank participants with schizophrenia had significantly lower schizophrenia genetic liability as indexed by polygenic risk score, lower rates of copy number variants, and fewer phenotypic features of poor outcome. Meaning: In this study, individuals with schizophrenia in the UK Biobank had features of less severe illness, which indicates that registries such as the UK Biobank can help to capture the full range of heterogeneity in schizophrenia research. This cross-sectional study compares genetic liability to psychiatric disorders in individuals with schizophrenia in the UK Biobank with individuals in the Psychiatric Genomics Consortium and compares genetic liability and phenotypic features with participants recruited from clinical settings. Importance: Large-scale biobanks provide important opportunities for mental health research, but selection biases raise questions regarding the comparability of individuals with those in clinical research settings. Objective: To compare the genetic liability to psychiatric disorders in individuals with schizophrenia in the UK Biobank with individuals in the Psychiatric Genomics Consortium (PGC) and to compare genetic liability and phenotypic features with participants recruited from clinical settings. Design, Setting, and Participants: This cross-sectional study included participants from the population-based UK Biobank and schizophrenia samples recruited from clinical settings (CLOZUK, CardiffCOGS, Cardiff F-Series, and Cardiff Affected Sib-Pairs). Data were collected between January 1993 and July 2021. Data analysis was conducted between July 2021 and June 2023. Main Outcomes and Measures: A genome-wide association study of UK Biobank schizophrenia case-control status was conducted, and the results were compared with those from the PGC via genetic correlations. To test for differences with the clinical samples, polygenic risk scores (PRS) were calculated for schizophrenia, bipolar disorder, depression, and intelligence using PRS-CS. PRS and phenotypic comparisons were conducted using pairwise logistic regressions. The proportions of individuals with copy number variants associated with schizophrenia were compared using Firth logistic regression. Results: The sample of 517 375 participants included 1438 UK Biobank participants with schizophrenia (550 [38.2%] female; mean [SD] age, 54.7 [8.3] years), 499 475 UK Biobank controls (271 884 [54.4%] female; mean [SD] age, 56.5 [8.1] years), and 4 schizophrenia research samples (4758 [28.9%] female; mean [SD] age, 38.2 [21.0] years). Liability to schizophrenia in UK Biobank was highly correlated with the latest genome-wide association study from the PGC (genetic correlation, 0.98; SE, 0.18) and showed the expected patterns of correlations with other psychiatric disorders. The schizophrenia PRS explained 6.8% of the variance in liability for schizophrenia case status in UK Biobank. UK Biobank participants with schizophrenia had significantly lower schizophrenia PRS than 3 of the clinically ascertained samples and significantly lower rates of schizophrenia-associated copy number variants than the CLOZUK sample. UK Biobank participants with schizophrenia had higher educational attainment and employment rates than the clinically ascertained schizophrenia samples, lower rates of smoking, and a later age of onset of psychosis. Conclusions and Relevance: Individuals with schizophrenia in the UK Biobank, and likely other volunteer-based biobanks, represent those less severely affected. Their inclusion in wider studies should enhance the representation of the full spectrum of illness severity. [ABSTRACT FROM AUTHOR]

Published
2024
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44. 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

45. 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

46. 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, Neurodegenerative, Acquired Cognitive Impairment, Alzheimer's Disease, Aging, Genetics, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aetiology, 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

47. 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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50. 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

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