34 results on '"Iryna O. Fedko"'
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2. Novel genetic loci associated with hippocampal volume
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Derrek P. Hibar, Hieab H. H. Adams, Neda Jahanshad, Ganesh Chauhan, Jason L. Stein, Edith Hofer, Miguel E. Renteria, Joshua C. Bis, Alejandro Arias-Vasquez, M. Kamran Ikram, Sylvane Desrivières, Meike W. Vernooij, Lucija Abramovic, Saud Alhusaini, Najaf Amin, Micael Andersson, Konstantinos Arfanakis, Benjamin S. Aribisala, Nicola J. Armstrong, Lavinia Athanasiu, Tomas Axelsson, Ashley H. Beecham, Alexa Beiser, Manon Bernard, Susan H. Blanton, Marc M. Bohlken, Marco P. Boks, Janita Bralten, Adam M. Brickman, Owen Carmichael, M. Mallar Chakravarty, Qiang Chen, Christopher R. K. Ching, Vincent Chouraki, Gabriel Cuellar-Partida, Fabrice Crivello, Anouk Den Braber, Nhat Trung Doan, Stefan Ehrlich, Sudheer Giddaluru, Aaron L. Goldman, Rebecca F. Gottesman, Oliver Grimm, Michael E. Griswold, Tulio Guadalupe, Boris A. Gutman, Johanna Hass, Unn K. Haukvik, David Hoehn, Avram J. Holmes, Martine Hoogman, Deborah Janowitz, Tianye Jia, Kjetil N. Jørgensen, Nazanin Karbalai, Dalia Kasperaviciute, Sungeun Kim, Marieke Klein, Bernd Kraemer, Phil H. Lee, David C. M. Liewald, Lorna M. Lopez, Michelle Luciano, Christine Macare, Andre F. Marquand, Mar Matarin, Karen A. Mather, Manuel Mattheisen, David R. McKay, Yuri Milaneschi, Susana Muñoz Maniega, Kwangsik Nho, Allison C. Nugent, Paul Nyquist, Loes M. Olde Loohuis, Jaap Oosterlaan, Martina Papmeyer, Lukas Pirpamer, Benno Pütz, Adaikalavan Ramasamy, Jennifer S. Richards, Shannon L. Risacher, Roberto Roiz-Santiañez, Nanda Rommelse, Stefan Ropele, Emma J. Rose, Natalie A. Royle, Tatjana Rundek, Philipp G. Sämann, Arvin Saremi, Claudia L. Satizabal, Lianne Schmaal, Andrew J. Schork, Li Shen, Jean Shin, Elena Shumskaya, Albert V. Smith, Emma Sprooten, Lachlan T. Strike, Alexander Teumer, Diana Tordesillas-Gutierrez, Roberto Toro, Daniah Trabzuni, Stella Trompet, Dhananjay Vaidya, Jeroen Van der Grond, Sven J. Van der Lee, Dennis Van der Meer, Marjolein M. J. Van Donkelaar, Kristel R. Van Eijk, Theo G. M. Van Erp, Daan Van Rooij, Esther Walton, Lars T. Westlye, Christopher D. Whelan, Beverly G. Windham, Anderson M. Winkler, Katharina Wittfeld, Girma Woldehawariat, Christiane Wolf, Thomas Wolfers, Lisa R. Yanek, Jingyun Yang, Alex Zijdenbos, Marcel P. Zwiers, Ingrid Agartz, Laura Almasy, David Ames, Philippe Amouyel, Ole A. Andreassen, Sampath Arepalli, Amelia A. Assareh, Sandra Barral, Mark E. Bastin, Diane M. Becker, James T. Becker, David A. Bennett, John Blangero, Hans van Bokhoven, Dorret I. Boomsma, Henry Brodaty, Rachel M. Brouwer, Han G. Brunner, Randy L. Buckner, Jan K. Buitelaar, Kazima B. Bulayeva, Wiepke Cahn, Vince D. Calhoun, Dara M. Cannon, Gianpiero L. Cavalleri, Ching-Yu Cheng, Sven Cichon, Mark R. Cookson, Aiden Corvin, Benedicto Crespo-Facorro, Joanne E. Curran, Michael Czisch, Anders M. Dale, Gareth E. Davies, Anton J. M. De Craen, Eco J. C. De Geus, Philip L. De Jager, Greig I. De Zubicaray, Ian J. Deary, Stéphanie Debette, Charles DeCarli, Norman Delanty, Chantal Depondt, Anita DeStefano, Allissa Dillman, Srdjan Djurovic, Gary Donohoe, Wayne C. Drevets, Ravi Duggirala, Thomas D. Dyer, Christian Enzinger, Susanne Erk, Thomas Espeseth, Iryna O. Fedko, Guillén Fernández, Luigi Ferrucci, Simon E. Fisher, Debra A. Fleischman, Ian Ford, Myriam Fornage, Tatiana M. Foroud, Peter T. Fox, Clyde Francks, Masaki Fukunaga, J. Raphael Gibbs, David C. Glahn, Randy L. Gollub, Harald H. H. Göring, Robert C. Green, Oliver Gruber, Vilmundur Gudnason, Sebastian Guelfi, Asta K. Håberg, Narelle K. Hansell, John Hardy, Catharina A. Hartman, Ryota Hashimoto, Katrin Hegenscheid, Andreas Heinz, Stephanie Le Hellard, Dena G. Hernandez, Dirk J. Heslenfeld, Beng-Choon Ho, Pieter J. Hoekstra, Wolfgang Hoffmann, Albert Hofman, Florian Holsboer, Georg Homuth, Norbert Hosten, Jouke-Jan Hottenga, Matthew Huentelman, Hilleke E. Hulshoff Pol, Masashi Ikeda, Clifford R. Jack Jr, Mark Jenkinson, Robert Johnson, Erik G. Jönsson, J. Wouter Jukema, René S. Kahn, Ryota Kanai, Iwona Kloszewska, David S. Knopman, Peter Kochunov, John B. Kwok, Stephen M. Lawrie, Hervé Lemaître, Xinmin Liu, Dan L. Longo, Oscar L. Lopez, Simon Lovestone, Oliver Martinez, Jean-Luc Martinot, Venkata S. Mattay, Colm McDonald, Andrew M. McIntosh, Francis J. McMahon, Katie L. McMahon, Patrizia Mecocci, Ingrid Melle, Andreas Meyer-Lindenberg, Sebastian Mohnke, Grant W. Montgomery, Derek W. Morris, Thomas H. Mosley, Thomas W. Mühleisen, Bertram Müller-Myhsok, Michael A. Nalls, Matthias Nauck, Thomas E. Nichols, Wiro J. Niessen, Markus M. Nöthen, Lars Nyberg, Kazutaka Ohi, Rene L. Olvera, Roel A. Ophoff, Massimo Pandolfo, Tomas Paus, Zdenka Pausova, Brenda W. J. H. Penninx, G. Bruce Pike, Steven G. Potkin, Bruce M. Psaty, Simone Reppermund, Marcella Rietschel, Joshua L. Roffman, Nina Romanczuk-Seiferth, Jerome I. Rotter, Mina Ryten, Ralph L. Sacco, Perminder S. Sachdev, Andrew J. Saykin, Reinhold Schmidt, Helena Schmidt, Peter R. Schofield, Sigurdur Sigursson, Andrew Simmons, Andrew Singleton, Sanjay M. Sisodiya, Colin Smith, Jordan W. Smoller, Hilkka Soininen, Vidar M. Steen, David J. Stott, Jessika E. Sussmann, Anbupalam Thalamuthu, Arthur W. Toga, Bryan J. Traynor, Juan Troncoso, Magda Tsolaki, Christophe Tzourio, Andre G. Uitterlinden, Maria C. Valdés Hernández, Marcel Van der Brug, Aad van der Lugt, Nic J. A. van der Wee, Neeltje E. M. Van Haren, Dennis van ’t Ent, Marie-Jose Van Tol, Badri N. Vardarajan, Bruno Vellas, Dick J. Veltman, Henry Völzke, Henrik Walter, Joanna M. Wardlaw, Thomas H. Wassink, Michael E. Weale, Daniel R. Weinberger, Michael W. Weiner, Wei Wen, Eric Westman, Tonya White, Tien Y. Wong, Clinton B. Wright, Ronald H. Zielke, Alan B. Zonderman, Nicholas G. Martin, Cornelia M. Van Duijn, Margaret J. Wright, W. T. Longstreth, Gunter Schumann, Hans J. Grabe, Barbara Franke, Lenore J. Launer, Sarah E. Medland, Sudha Seshadri, Paul M. Thompson, and M. Arfan Ikram
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Science - Abstract
The hippocampus in mammalian brain varies in size across individuals. Here, Hibar and colleagues perform a genome-wide association meta-analysis to find six genetic loci with significant association to hippocampus volume.
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- 2017
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3. Author Correction: Heritability estimates for 361 blood metabolites across 40 genome-wide association studies
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Fiona A. Hagenbeek, René Pool, Jenny van Dongen, H. M. Draisma, Jouke Jan Hottenga, Gonneke Willemsen, Abdel Abdellaoui, Iryna O. Fedko, Anouk den Braber, Pieter Jelle Visser, Eco J. C. N. de Geus, Ko Willems van Dijk, Aswin Verhoeven, H. Eka Suchiman, Marian Beekman, P. Eline Slagboom, Cornelia M. van Duijn, BBMRI Metabolomics Consortium, Amy C. Harms, Thomas Hankemeier, Meike Bartels, Michel G. Nivard, and Dorret I. Boomsma
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Science - Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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- 2020
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4. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits.
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Suzanne Vogelezang, Jonathan P Bradfield, Tarunveer S Ahluwalia, John A Curtin, Timo A Lakka, Niels Grarup, Markus Scholz, Peter J van der Most, Claire Monnereau, Evie Stergiakouli, Anni Heiskala, Momoko Horikoshi, Iryna O Fedko, Natalia Vilor-Tejedor, Diana L Cousminer, Marie Standl, Carol A Wang, Jorma Viikari, Frank Geller, Carmen Íñiguez, Niina Pitkänen, Alessandra Chesi, Jonas Bacelis, Loic Yengo, Maties Torrent, Ioanna Ntalla, Øyvind Helgeland, Saskia Selzam, Judith M Vonk, Mohammed H Zafarmand, Barbara Heude, Ismaa Sadaf Farooqi, Akram Alyass, Robin N Beaumont, Christian T Have, Peter Rzehak, Jose Ramon Bilbao, Theresia M Schnurr, Inês Barroso, Klaus Bønnelykke, Lawrence J Beilin, Lisbeth Carstensen, Marie-Aline Charles, Bo Chawes, Karine Clément, Ricardo Closa-Monasterolo, Adnan Custovic, Johan G Eriksson, Joaquin Escribano, Maria Groen-Blokhuis, Veit Grote, Dariusz Gruszfeld, Hakon Hakonarson, Torben Hansen, Andrew T Hattersley, Mette Hollensted, Jouke-Jan Hottenga, Elina Hyppönen, Stefan Johansson, Raimo Joro, Mika Kähönen, Ville Karhunen, Wieland Kiess, Bridget A Knight, Berthold Koletzko, Andreas Kühnapfel, Kathrin Landgraf, Jean-Paul Langhendries, Terho Lehtimäki, Jaakko T Leinonen, Aihuali Li, Virpi Lindi, Estelle Lowry, Mariona Bustamante, Carolina Medina-Gomez, Mads Melbye, Kim F Michaelsen, Camilla S Morgen, Trevor A Mori, Tenna R H Nielsen, Harri Niinikoski, Albertine J Oldehinkel, Katja Pahkala, Kalliope Panoutsopoulou, Oluf Pedersen, Craig E Pennell, Christine Power, Sijmen A Reijneveld, Fernando Rivadeneira, Angela Simpson, Peter D Sly, Jakob Stokholm, Kook K Teo, Elisabeth Thiering, Nicholas J Timpson, André G Uitterlinden, Catharina E M van Beijsterveldt, Barbera D C van Schaik, Marc Vaudel, Elvira Verduci, Rebecca K Vinding, Mandy Vogel, Eleftheria Zeggini, Sylvain Sebert, Mads V Lind, Christopher D Brown, Loreto Santa-Marina, Eva Reischl, Christine Frithioff-Bøjsøe, David Meyre, Eleanor Wheeler, Ken Ong, Ellen A Nohr, Tanja G M Vrijkotte, Gerard H Koppelman, Robert Plomin, Pål R Njølstad, George D Dedoussis, Philippe Froguel, Thorkild I A Sørensen, Bo Jacobsson, Rachel M Freathy, Babette S Zemel, Olli Raitakari, Martine Vrijheid, Bjarke Feenstra, Leo-Pekka Lyytikäinen, Harold Snieder, Holger Kirsten, Patrick G Holt, Joachim Heinrich, Elisabeth Widén, Jordi Sunyer, Dorret I Boomsma, Marjo-Riitta Järvelin, Antje Körner, George Davey Smith, Jens-Christian Holm, Mustafa Atalay, Clare Murray, Hans Bisgaard, Mark I McCarthy, Early Growth Genetics Consortium, Vincent W V Jaddoe, Struan F A Grant, and Janine F Felix
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Genetics ,QH426-470 - Abstract
The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values
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- 2020
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5. Measurement and genetic architecture of lifetime depression in the Netherlands as assessed by LIDAS (Lifetime Depression Assessment Self-report)
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Joline W.J. Beulens, Petra J. M. Elders, Iryna O. Fedko, Lambertus A. Kiemeney, Tessel E. Galesloot, Edith J. M. Feskens, Hanna M. van Loo, Femke Rutters, W M Monique Verschuren, Jan Smit, Quinta Helmer, Mariska Bot, Marijke A. Bremmer, Hamdi Mbarek, Ashley van der Spek, Cornelia M. van Duijn, Brenda W.J.H. Penninx, Floris Huider, Catharina A. Hartman, Najaf Amin, Anne M van de Wiel, Jouke-Jan Hottenga, H. Susan J. Picavet, Eco J. C. de Geus, Albertine J. Oldehinkel, Dorret I. Boomsma, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Epidemiology, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Personalized Medicine, APH - Methodology, Dynamic Earth and Resources, Sociology and Social Gerontology, Epidemiology and Data Science, Psychiatry, APH - Aging & Later Life, General practice, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, ACS - Diabetes & metabolism, and ACS - Heart failure & arrhythmias
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Netherlands Twin Register (NTR) ,medicine.medical_specialty ,Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] ,prevalence ,behavioral disciplines and activities ,LIDAS ,03 medical and health sciences ,0302 clinical medicine ,All institutes and research themes of the Radboud University Medical Center ,SDG 17 - Partnerships for the Goals ,SDG 3 - Good Health and Well-being ,online assessment tool ,Epidemiology ,mental disorders ,medicine ,030212 general & internal medicine ,Lifetime Depression Assessment Self-report ,Self report ,HNRU&LB ,Applied Psychology ,Depression (differential diagnoses) ,030304 developmental biology ,Genetic association ,VLAG ,Global Nutrition ,0303 health sciences ,Wereldvoeding ,major depressive disorder ,business.industry ,Original Articles ,Heritability ,medicine.disease ,Genetic architecture ,Psychiatry and Mental health ,Mood ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Major depressive disorder ,business ,Demography - Abstract
BackgroundMajor depressive disorder (MDD) is a common mood disorder, with a heritability of around 34%. Molecular genetic studies made significant progress and identified genetic markers associated with the risk of MDD; however, progress is slowed down by substantial heterogeneity as MDD is assessed differently across international cohorts. Here, we used a standardized online approach to measure MDD in multiple cohorts in the Netherlands and evaluated whether this approach can be used in epidemiological and genetic association studies of depression.MethodsWithin the Biobank Netherlands Internet Collaboration (BIONIC) project, we collected MDD data in eight cohorts involving 31 936 participants, using the online Lifetime Depression Assessment Self-report (LIDAS), and estimated the prevalence of current and lifetime MDD in 22 623 unrelated individuals. In a large Netherlands Twin Register (NTR) twin-family dataset (n ≈ 18 000), we estimated the heritability of MDD, and the prediction of MDD in a subset (n = 4782) through Polygenic Risk Score (PRS).ResultsEstimates of current and lifetime MDD prevalence were 6.7% and 18.1%, respectively, in line with population estimates based on validated psychiatric interviews. In the NTR heritability estimates were 0.34/0.30 (s.e. = 0.02/0.02) for current/lifetime MDD, respectively, showing that the LIDAS gives similar heritability rates for MDD as reported in the literature. The PRS predicted risk of MDD (OR 1.23, 95% CI 1.15–1.32, R2 = 1.47%).ConclusionsBy assessing MDD status in the Netherlands using the LIDAS instrument, we were able to confirm previously reported MDD prevalence and heritability estimates, which suggests that this instrument can be used in epidemiological and genetic association studies of depression.
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- 2021
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6. Substance use: Interplay between polygenic risk and neighborhood environment
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Dorret I. Boomsma, Gonneke Willemsen, Jouke-Jan Hottenga, Karin J. H. Verweij, Joëlle A. Pasman, Jacqueline M. Vink, Iryna O. Fedko, Abdel Abdellaoui, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, and Adult Psychiatry
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Adult ,Male ,Netherlands Twin Register (NTR) ,Multifactorial Inheritance ,Gene-environment correlation ,Substance-Related Disorders ,Twins ,Poison control ,Genome-wide association study ,Substance use ,Toxicology ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,Residence Characteristics ,Risk Factors ,Medicine ,Humans ,Pharmacology (medical) ,030212 general & internal medicine ,Gene–environment interaction ,Socioeconomic status ,Netherlands ,Pharmacology ,biology ,business.industry ,Neighborhood ,Human factors and ergonomics ,Middle Aged ,biology.organism_classification ,Gene-environment interaction ,Polygenic scores ,Psychiatry and Mental health ,Cross-Sectional Studies ,Social Class ,Cohort ,Female ,Cannabis ,business ,Developmental Psychopathology ,030217 neurology & neurosurgery ,Demography ,Genome-Wide Association Study - Abstract
Contains fulltext : 216912.pdf (Publisher’s version ) (Open Access) Background: Tobacco, alcohol, and cannabis use are prevalent behaviors that pose considerable health risks. Genetic vulnerability and characteristics of the neighborhood of residence form important risk factors for substance use. Possibly, these factors do not act in isolation. This study tested the interaction between neighborhood characteristics and genetic risk (gene-environment interaction, GxE) and the association between these classes of risk factors (gene-environment correlation, rGE) in substance use. Methods: Two polygenic scores (PGS) each (based on different discovery datasets) were created for smoking initiation, cigarettes per day, and glasses of alcohol per week based on summary statistics of different genome-wide association studies (GWAS). For cannabis initiation one PGS was created. These PGS were used to predict their respective phenotype in a large population-based sample from the Netherlands Twin Register (N = 6,567). Neighborhood characteristics as retrieved from governmental registration systems were factor analyzed and resulting measures of socioeconomic status (SES) and metropolitanism were used as predictors. Results: There were (small) main effects of neighborhood characteristics and PGS on substance use. One of the 14 tested GxE effects was significant, such that the PGS was more strongly associated with alcohol use in individuals with high SES. This was effect was only significant for one out of two PGS. There were weak indications of rGE, mainly with age and cohort covariates. Conclusion: We conclude that both genetic and neighborhood-level factors are predictors for substance use. More research is needed to establish the robustness of the findings on the interplay between these factors. 8 p.
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- 2020
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7. Genome-wide association meta-analysis of age at first cannabis use
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Albertine J. Oldehinkel, Dorret I. Boomsma, Camelia C. Minică, Marco P. Boks, Jacqueline M. Vink, Iryna O. Fedko, Tamara L. Wall, Nicholas G. Martin, Michael C. Stallings, Andrew C. Heath, Michael C. Neale, Abdel Abdellaoui, Marcus R. Munafò, Kristel R. van Eijk, Christian J. Hopfer, Hans M. Koot, Tellervo Korhonen, Jean Shin, Lindsay A. Farrer, Kenneth Krauter, Joel Gelernter, Josep Antoni Ramos-Quiroga, Eske M. Derks, Vanesa Richarte, Gareth E. Davies, Ian B. Hickie, Michelle Taylor, René S. Kahn, Dominique F. Maciejewski, Iris Garcia-Martínez, Teemu Palviainen, Catharina A. Hartman, Marta Ribasés, Karin J. H. Verweij, Timothy B. Bigdeli, Margaret J. Wright, Hongyu Zhao, Ilja M. Nolte, Pamela A. F. Madden, Anu Loukola, Susan Branje, Mengzhen Liu, Richard J. Rose, Richard Sherva, Harold Snieder, Scott D. Gordon, Jennifer J. Ware, Raymond K. Walters, John K. Hewitt, Jaakko Kaprio, Manon Bernard, Hamdi Mbarek, Sandra A. Brown, Pol A. C. van Lier, Miguel Casas, Wim Meeus, Robin P. Corley, Grant W. Montgomery, Cristina Sánchez-Mora, Nathan A. Gillespie, Henry R. Kranzler, Sarah E. Medland, Zdenka Pausova, Jouke-Jan Hottenga, Penelope A. Lind, Peter J. van der Most, George Davey-Smith, Matthew Hickman, Tomáš Paus, and Erik A. Ehli
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0301 basic medicine ,biology ,business.industry ,Medicine (miscellaneous) ,Single-nucleotide polymorphism ,Genome-wide association study ,Heritability ,biology.organism_classification ,Confidence interval ,3. Good health ,03 medical and health sciences ,Psychiatry and Mental health ,030104 developmental biology ,0302 clinical medicine ,Meta-analysis ,SNP ,Medicine ,Cannabis ,Young adult ,business ,030217 neurology & neurosurgery ,Demography - Abstract
Background and aims: Cannabis is one of the most commonly used substances among adolescents and young adults. Earlier age at cannabis initiation is linked to adverse life outcomes, including multi-substance use and dependence. This study estimated the heritability of age at first cannabis use and identified associations with genetic variants. Methods: A twin-based heritability analysis using 8055 twins from three cohorts was performed. We then carried out a genome-wide association meta-analysis of age at first cannabis use in a discovery sample of 24 953 individuals from nine European, North American and Australian cohorts, and a replication sample of 3735 individuals. Results: The twin-based heritability for age at first cannabis use was 38% [95% confidence interval (CI) = 19–60%]. Shared and unique environmental factors explained 39% (95% CI = 20–56%) and 22% (95% CI = 16–29%). The genome-wide association meta-analysis identified five single nucleotide polymorphisms (SNPs) on chromosome 16 within the calcium-transporting ATPase gene (ATP2C2) at P 0.8), with the strongest association at the intronic variant rs1574587 (P = 4.09E-09). Gene-based tests of association identified the ATP2C2 gene on 16q24.1 (P = 1.33e-06). Although the five SNPs and ATP2C2 did not replicate, ATP2C2 has been associated with cocaine dependence in a previous study. ATP2B2, which is a member of the same calcium signalling pathway, has been associated previously with opioid dependence. SNP-based heritability for age at first cannabis use was non-significant. Conclusion: Age at cannabis initiation appears to be moderately heritable in western countries, and individual differences in onset can be explained by separate but correlated genetic liabilities. The significant association between age of initiation and ATP2C2 is consistent with the role of calcium signalling mechanisms in substance use disorders.
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- 2018
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8. Testing familial transmission of smoking with two different research designs
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Gareth E. Davies, Karin J. H. Verweij, Eveline L. de Zeeuw, Jouke-Jan Hottenga, Jacqueline M. Vink, Iryna O. Fedko, Gonneke Willemsen, Abdel Abdellaoui, Dorret I. Boomsma, Jorien L. Treur, Erik A. Ehli, Biological Psychology, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Personalized Medicine, APH - Methodology, Amsterdam Reproduction & Development, and Adult Psychiatry
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Adult ,Male ,Parents ,0301 basic medicine ,Research design ,Netherlands Twin Register (NTR) ,medicine.medical_specialty ,Adolescent ,Familial transmission ,Original Investigations ,030508 substance abuse ,Cohort Studies ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Risk Factors ,Surveys and Questionnaires ,Twins, Dizygotic ,Humans ,Medicine ,Registries ,Genetic risk ,Child ,Psychiatry ,Birth Year ,Netherlands ,business.industry ,Smoking ,Public Health, Environmental and Occupational Health ,Twins, Monozygotic ,Twin study ,Zygosity ,Smoking initiation ,030104 developmental biology ,Female ,Gene-Environment Interaction ,Smoking status ,0305 other medical science ,business ,Developmental Psychopathology ,Demography - Abstract
Introduction Classical twin studies show that smoking is heritable. To determine if shared family environment plays a role in addition to genetic factors, and if they interact (G×E), we use a children-of-twins design. In a second sample, we measure genetic influence with polygenic risk scores (PRS) and environmental influence with a question on exposure to smoking during childhood. Methods Data on smoking initiation were available for 723 children of 712 twins from the Netherlands Twin Register (64.9% female, median birth year 1985). Children were grouped in ascending order of risk, based on smoking status and zygosity of their twin-parent and his/her co-twin: never smoking twin-parent with a never smoking co-twin; never smoking twin-parent with a smoking dizygotic co-twin; never smoking twin-parent with a smoking monozygotic co-twin; and smoking twin-parent with a smoking or never smoking co-twin. For 4072 participants from the Netherlands Twin Register (67.3% female, median birth year 1973), PRS for smoking were computed and smoking initiation, smoking heaviness, and exposure to smoking during childhood were available. Results Patterns of smoking initiation in the four group children-of-twins design suggested shared familial influences in addition to genetic factors. PRS for ever smoking were associated with smoking initiation in all individuals. PRS for smoking heaviness were associated with smoking heaviness in individuals exposed to smoking during childhood, but not in non-exposed individuals. Conclusions Shared family environment influences smoking, over and above genetic factors. Genetic risk of smoking heaviness was only important for individuals exposed to smoking during childhood, versus those not exposed (G×E). Implications This study adds to the very few existing children-of-twins (CoT) studies on smoking and combines a CoT design with a second research design that utilizes polygenic risk scores and data on exposure to smoking during childhood. The results show that shared family environment affects smoking behavior over and above genetic factors. There was also evidence for gene–environment interaction (G×E) such that genetic risk of heavy versus light smoking was only important for individuals who were also exposed to (second-hand) smoking during childhood. Together, these findings give additional incentive to recommending parents not to expose their children to cigarette smoking.
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- 2018
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9. Dopaminergic Genetic Variants and Voluntary Externally Paced Exercise Behavior
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Toos C. E. M. van Beijsterveldt, Denise van der Mee, Gareth E. Davies, Eco J. C. de Geus, Joseph G. Landers, Lannie Ligthart, Jouke-Jan Hottenga, Iryna O. Fedko, E.A. Ehli, Matthijs D. van der Zee, Meike Bartels, Biological Psychology, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Personalized Medicine
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0301 basic medicine ,Male ,EXERCISE BEHAVIOR ,Candidate gene ,Multifactorial Inheritance ,Dopamine ,Minisatellite Repeats ,Receptors, Dopamine ,0302 clinical medicine ,Medicine ,Orthopedics and Sports Medicine ,Child ,REWARD SENSITIVITY ,Netherlands ,Aged, 80 and over ,ANKK1 ,Dopaminergic ,Middle Aged ,Phenotype ,Female ,rs4680 ,medicine.drug ,Adult ,CANDIDATE GENE ,medicine.medical_specialty ,Adolescent ,Genotype ,Physical Therapy, Sports Therapy and Rehabilitation ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,Reward system ,Young Adult ,Physical medicine and rehabilitation ,Reward ,SDG 3 - Good Health and Well-being ,SNP ,Humans ,Allele ,Exercise ,Alleles ,Aged ,Dopamine Plasma Membrane Transport Proteins ,business.industry ,EXECUTIVE FUNCTIONING ,030104 developmental biology ,business ,030217 neurology & neurosurgery - Abstract
PURPOSE: Most candidate gene studies on the neurobiology of voluntary exercise behavior have focused on the dopaminergic signaling pathway and its role in the mesolimbic reward system. We hypothesized that dopaminergic candidate genes may influence exercise behavior through additional effects on executive functioning and that these effects are only detected when the types of exercise activity are taken into account.METHODS: Data on voluntary exercise behavior and at least one SNP/VNTR were available for 12,929 participants of the Netherlands Twin Registry. Exercise activity was classified as externally paced if a high level of executive function skill was required. The total volume of voluntary exercise (minutes per week) as well as the volume specifically spent on externally paced activities were tested for association with nine functional dopaminergic polymorphisms (DRD1: rs265981, DRD2/ANKK1: rs1800497, DRD3: rs6280, DRD4: VNTR 48bp, DRD5: VNTR 130-166bp, DBH: rs2519152, DAT1: VNTR 40bp, COMT: rs4680, MAOA: VNTR 30bp), a polygenic score (PGS) based on nine alleles leading to lower dopamine responsiveness, and a PGS based on three alleles associated with both higher reward sensitivity and better executive functioning (DRD2/ANKK1: 'G' allele, COMT: Met allele, DAT1: 440bp allele).RESULTS: No association with total exercise volume or externally paced exercise volume was found for individual alleles or the nine-allele polygenic score. The volume of externally paced exercise behavior was significantly associated with the reward and executive function congruent PGS. This association was driven by the DAT1 440bp and COMT Met allele which acted as increaser alleles for externally paced exercise behavior.CONCLUSION: Taking into account the types of exercise activity may increase the success of identifying genetic variants and unraveling the neurobiology of voluntary exercise behavior. Key words: candidate gene, exercise behavior, reward sensitivity, executive functioning.
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- 2018
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10. Heritability of Behavioral Problems in 7-Year Olds Based on Shared and Unique Aspects of Parental Views
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Laura W. Wesseldijk, Catharina E. M. van Beijsterveldt, Dorret I. Boomsma, Jouke-Jan Hottenga, Meike Bartels, Michel G. Nivard, Christel M. Middeldorp, Iryna O. Fedko, Adult Psychiatry, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, and APH - Methodology
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0301 basic medicine ,Parents ,Male ,Netherlands Twin Register (NTR) ,health care facilities, manpower, and services ,Twins ,Child Behavior ,CBCL ,Developmental psychology ,Fathers ,Fathers/psychology ,Models ,Surveys and Questionnaires ,Genetics(clinical) ,Child Behavior Checklist ,Child ,Genetics (clinical) ,Original Research ,Netherlands ,05 social sciences ,Mothers/psychology ,Psychometrics/methods ,Female ,Psychology ,Twins/genetics ,050104 developmental & child psychology ,Psychopathology ,Parents/psychology ,Genetic correlation ,Psychometrics ,Child psychopathology ,Child Behavior Disorders/genetics ,education ,Mothers ,Problem Behavior/psychology ,Context (language use) ,Child Behavior Disorders ,Behavioral problems ,behavioral disciplines and activities ,Heritability ,03 medical and health sciences ,Child Behavior/psychology ,Genetic ,Genetics ,Humans ,0501 psychology and cognitive sciences ,CBCL 6–18 ,Ecology, Evolution, Behavior and Systematics ,Problem Behavior ,Models, Genetic ,Parental ratings ,Reproducibility of Results ,Twin study ,030104 developmental biology - Abstract
In studies of child psychopathology, phenotypes of interest are often obtained by parental ratings. When behavioral ratings are obtained in the context of a twin study, this allows for the decomposition of the phenotypic variance, into a genetic and a non-genetic part. If a phenotype is assessed by a single rater, heritability is based on the child’s behavior as expressed in the presence of that particular rater, whereas heritability based on assessments by multiple raters allows for the estimation of the heritability of the phenotype based on rater agreement, as well as the heritability of the rater specific view of the behavior. The aim of this twin study was to quantify the rater common and rater specific contributions to the variation in children’s behavioral problems. We estimated the heritability of maternal and paternal ratings of the Child Behavior Checklist (CBCL) 6–18 empirical emotional and behavioral problem scales in a large sample of 12,310 7-year old Dutch twin pairs. Between 30 and 59% of variation in the part of the phenotype parents agree upon was explained by genetic effects. Common environmental effects that make children in the same family similar explained less variance, ranging between 0 and 32%. For unique views of their children’s behavioral problems, heritability ranged between 0 and 20% for maternal and between 0 and 22% for paternal views. Between 7 and 24% of the variance was accounted for by common environmental factors specific to mother and father’s views. The proportion of rater shared and rater specific heritability can be translated into genetic correlations between parental views and inform the design and interpretation of results of molecular genetic studies. Genetic correlations were nearly or above 0.7 for all CBCL based psychopathology scales. Such large genetic correlations suggest two practical guidelines for genome-wide association studies (GWAS): when studies have collected data from either fathers or mothers, the shared genetic aetiology in parental ratings indicates that is possible to analyze paternal and maternal assessments in a single GWAS or meta-analysis. Secondly, if a study has collected information from both parents, a gain in statistical power may be realized in GWAS by the simultaneous analysis of the data. Electronic supplementary material The online version of this article (doi:10.1007/s10519-016-9823-1) contains supplementary material, which is available to authorized users.
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- 2017
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11. Psychopathology in 7-year-old children: Differences in maternal and paternal ratings and the genetic epidemiology
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Catharina E. M. van Beijsterveldt, Dorret I. Boomsma, Michel G. Nivard, Meike Bartels, Laura W. Wesseldijk, Christel M. Middeldorp, Iryna O. Fedko, Adult Psychiatry, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, Biological Psychology, APH - Personalized Medicine, and APH - Methodology
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Male ,Parents ,Netherlands Twin Register (NTR) ,Shared environment ,Twins ,050109 social psychology ,Psychology, Child ,Fathers ,0302 clinical medicine ,Surveys and Questionnaires ,Psychology ,parental ratings ,Child ,Genetics (clinical) ,Research Articles ,Psychology, Child/methods ,Netherlands ,Molecular Epidemiology ,Molecular Epidemiology/methods ,Psychopathology ,Mental Disorders ,rater bias ,shared environment ,05 social sciences ,Variance (accounting) ,3. Good health ,Psychopathology/methods ,Psychiatry and Mental health ,Anxiety ,Female ,medicine.symptom ,Clinical psychology ,Research Article ,Mothers ,Clinical settings ,Affect (psychology) ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Bias ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,0501 psychology and cognitive sciences ,Reproducibility of Results ,Heritability ,Twins/psychology ,Child/methods ,Genetic epidemiology ,030217 neurology & neurosurgery ,Mental Disorders/epidemiology - Abstract
The assessment of children's psychopathology is often based on parental report. Earlier studies have suggested that rater bias can affect the estimates of genetic, shared environmental and unique environmental influences on differences between children. The availability of a large dataset of maternal as well as paternal ratings of psychopathology in 7-year old children enabled (i) the analysis of informant effects on these assessments, and (ii) to obtain more reliable estimates of the genetic and non-genetic effects. DSM-oriented measures of affective, anxiety, somatic, attention-deficit/hyperactivity, oppositional-defiant, conduct, and obsessive-compulsive problems were rated for 12,310 twin pairs from the Netherlands Twin Register by mothers (N = 12,085) and fathers (N = 8,516). The effects of genetic and non-genetic effects were estimated on the common and rater-specific variance. For all scales, mean scores on maternal ratings exceeded paternal ratings. Parents largely agreed on the ranking of their child's problems (r 0.60-0.75). The heritability was estimated over 55% for maternal and paternal ratings for all scales, except for conduct problems (44-46%). Unbiased shared environmental influences, i.e., on the common variance, were significant for affective (13%), oppositional (13%), and conduct problems (37%). In clinical settings, different cutoffs for (sub)clinical scores could be applied to paternal and maternal ratings of their child's psychopathology. Only for conduct problems, shared environmental and genetic influences explain an equal amount in differences between children. For the other scales, genetic factors explain the majority of the variance, especially for the common part that is free of rater bias. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.
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- 2017
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12. Heritability and GWAS Studies for Monocyte-Lymphocyte Ratio
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Bochao D. Lin, Gonneke Willemsen, Brenda W.J.H. Penninx, Jouke-Jan Hottenga, Iryna O. Fedko, E.J.C. de Geus, Dorret I. Boomsma, Rick Jansen, C. Kluft, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Digital Health, Biological Psychology, APH - Health Behaviors & Chronic Diseases, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Personalized Medicine, and APH - Methodology
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Adult ,Genetic Markers ,Male ,0301 basic medicine ,Netherlands Twin Register (NTR) ,Linkage disequilibrium ,Quantitative Trait Loci ,Population ,Single-nucleotide polymorphism ,Genome-wide association study ,chemical and pharmacologic phenomena ,Biology ,Quantitative trait locus ,Polymorphism, Single Nucleotide ,Linkage Disequilibrium ,Monocytes ,Body Mass Index ,03 medical and health sciences ,Quantitative Trait, Heritable ,SDG 3 - Good Health and Well-being ,Journal Article ,Humans ,Inositol 1,4,5-Trisphosphate Receptors ,Genetic Predisposition to Disease ,Lymphocytes ,Receptors, Lysophosphatidic Acid ,education ,Genetics (clinical) ,Genetics ,education.field_of_study ,Smoking ,fungi ,Obstetrics and Gynecology ,hemic and immune systems ,Middle Aged ,Heritability ,Genetic architecture ,030104 developmental biology ,Interferon Regulatory Factors ,Pediatrics, Perinatology and Child Health ,Expression quantitative trait loci ,Female ,Integrin alpha Chains ,Genome-Wide Association Study - Abstract
The monocyte–lymphocyte ratio (MLR) is a useful biomarker for disease development, but little is known about the extent to which genetic and environmental factors influence MLR variation. Here, we study the genetic architecture of MLR and determine the influence of demographic and lifestyle factors on MLR in data from a Dutch non-patient twin-family population. Data were obtained in 9,501 individuals from the Netherlands Twin Register. We used regression analyses to determine the effects of age, sex, smoking, and body mass index (BMI) on MLR and its subcomponents. Data on twins, siblings and parents (N = 7,513) were analyzed by genetic structural equation modeling to establish heritability and genome wide single nucleotide polymorphism (SNP) data from a genotyped subsample (N = 5,892) and used to estimate heritability explained by SNPs. SNP and phenotype data were also analyzed in a genome-wide association study to identify the genes involved in MLR. Linkage disequilibrium (LD) score regression and expression quantitative trait loci (eQTL) analyses were performed to further explore the genetic findings. Results showed that age, sex, and age × sex interaction effects were present for MLR and its subcomponents. Variation in MLR was not related to BMI, but smoking was positively associated with MLR. Heritability was estimated at 40% for MLR, 58% for monocyte, and 58% for lymphocyte count. The Genome-wide association study (GWAS) identified a locus on ITGA4 that was associated with MLR and only marginally significantly associated with monocyte count. For monocyte count, additional genetic variants were identified on ITPR3, LPAP1, and IRF8. For lymphocyte count, GWAS provided no significant findings. Taking all measured SNPs together, their effects accounted for 13% of the heritability of MLR, while all known and identified genetic loci explained 1.3% of variation in MLR. eQTL analyses showed that these genetic variants were unlikely to be eQTLs. In conclusion, variation in MLR level in the general population is heritable and influenced by age, sex, and smoking. We identified gene variants in the ITGA4 gene associated with variation in MLR. The significant SNP-heritability indicates that more genetic variants are likely to be involved.
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- 2017
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13. Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length
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Joris Deelen, Antonia Trichopoulou, Sara Hägg, Kim Overvad, Elisabete Weiderpass, Iryna O. Fedko, Rudolf Kaaks, Nicola D. Kerrison, Kirsi H. Pietiläinen, Ida Surakka, Veikko Salomaa, Svetlana Stoma, Jaakko Kaprio, Alessandra Allione, Cornelia M. van Duijn, Nicholas G. Martin, Veryan Codd, Olle Melander, Nilesh J. Samani, Josine E. Verhoeven, Anne Tjønneland, Natalia Pervjakova, Domenico Palli, Adam S. Butterworth, Nicholas J. Wareham, María Dolores Chirlaque, P. Eline Slagboom, Massimo Mangino, Pascal P. Arp, Christopher P. Nelson, Brenda W.J.H. Penninx, Jessica L. Buxton, Pietro Ferrari, Tao Jiang, Iiris Hovatta, Taylor K. Loe, N. Charlotte Onland-Moret, Salvatore Panico, Peter Jones, Heiner Boeing, Timothy J. Key, Luca A. Lotta, Miguel Rodríguez-Barranco, Diana van Heemst, Chen Li, Robert A. Scott, Sarah E. Medland, Giuseppe Matullo, Alexessander Couto Alves, Rosario Tumino, Jouke-Jan Hottenga, Ken K. Ong, Vittorio Krogh, Gonneke Willemsen, Andres Metspalu, Eva Albrecht, Elina Sillanpää, Johan G. Eriksson, Najaf Amin, Dale R. Nyholt, Reedik Mägi, Eros Lazzerini Denchi, Peter M. Nilsson, André G. Uitterlinden, Antonio Agudo, Yuri Milaneschi, Ashley van der Spek, Alessia Russo, Linda Broer, Federico Canzian, Marian Beekman, Grant W. Montgomery, Sophie C Warner, Guy Fagherazzi, Markus Perola, Alexandra I. F. Blakemore, Marjo-Riitta Järvelin, Robert Karlsson, Tim D. Spector, Paul W. Franks, H. Eka D. Suchiman, Claudia Langenberg, Liher Imaz, Nancy L. Pedersen, Scott D. Gordon, Stephen E. Hamby, J. Ramón Quirós, Yvonne T. van der Schouw, Concha Moreno, Christian Gieger, Pekka Jousilahti, Dorret I. Boomsma, Marc J. Gunter, Benjamin Miraglio, Gianluca Severi, John Danesh, UNIVERSITY OF OULU, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Personalized Medicine, APH - Methodology, Sociology and Social Gerontology, Li, Chen [0000-0002-6423-6325], Ong, Kenneth [0000-0003-4689-7530], Butterworth, Adam [0000-0002-6915-9015], Danesh, John [0000-0003-1158-6791], Wareham, Nicholas [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Apollo - University of Cambridge Repository, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Institute for Molecular Medicine Finland, University of Helsinki, Research Programs Unit, CAMM - Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, HUS Abdominal Center, Department of Medicine, Endokrinologian yksikkö, Clinicum, Diabetes and Obesity Research Program, Department of General Practice and Primary Health Care, HUS Helsinki and Uusimaa Hospital District, Department of Psychology and Logopedics, Genetics, SLEEPWELL Research Program, Department of Public Health, Mind and Matter, Internal Medicine, and Epidemiology
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Netherlands Twin Register (NTR) ,Limfomes ,LOCI ,Genome-wide association study ,Disease ,VARIANTS ,DISEASE ,0302 clinical medicine ,Leukocytes ,telomere length ,GWAS ,Genetics(clinical) ,Càncer ,Mendelian randomisation ,Thyroid cancer ,Genetics (clinical) ,11 Medical and Health Sciences ,Cancer ,Genetics ,Genetics & Heredity ,RISK ,0303 health sciences ,Telòmer ,age-related disease ,biological aging ,Humans ,Nucleotides ,Genome-Wide Association Study ,Telomere ,meta-analyysi ,genomiikka ,Genomics ,CANCER ,3. Good health ,030220 oncology & carcinogenesis ,MENDELIAN RANDOMIZATION ,Medical genetics ,Biomarker (medicine) ,HEART ,Lymphomas ,Life Sciences & Biomedicine ,Medical Genetics ,medicine.medical_specialty ,GENES ,DATABASE ,Age-related Disease ,Biological Aging ,Mendelian Randomisation ,Telomere Length ,Biology ,Article ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Mendelian randomization ,medicine ,Journal Article ,030304 developmental biology ,Medicinsk genetik ,Science & Technology ,06 Biological Sciences ,medicine.disease ,Genòmica ,ikääntyminen ,1182 Biochemistry, cell and molecular biology ,telomeerit ,biological - Abstract
Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.
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- 2020
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14. Human pancreatic islet three-dimensional chromatin architecture provides insights into the genetics of type 2 diabetes
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Lorenzo Piemonti, Goutham Atla, Torben Hansen, Claire Morgan, Inês Cebola, Jorge Ferrer, Inga Prokopenko, Irene Farabella, Irene Miguel-Escalada, Marc A. Marti-Renom, Lorenzo Pasquali, Emil V. R. Appel, Niels Grarup, Javier García-Hurtado, Leif Groop, Josep M. Mercader, Eelco J.P. de Koning, Mireia Ramos-Rodríguez, Anette P. Gjesing, Delphine M.Y. Rolando, Allan Linneberg, Sílvia Bonàs-Guarch, François Pattou, Philippe Ravassard, Daniel R. Witte, Biola M. Javierre, Julie Kerr-Conte, Joan Ponsa-Cobas, David Torrents, Anthony Beucher, Peter Fraser, Thierry Berney, Iryna O. Fedko, Ole Birger Pedersen, Julen Mendieta-Esteban, Ignasi Moran, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Research Centre For Prevention and Health, Department 84/85, Copenhagen University Hospital Glostrup, Steno Diabetes Center, University of Copenhagen = Københavns Universitet (KU), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Steno Diabetes Center and Hagedorn Research Institute, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), IRCCS Ospedale San Raffaele [Milan, Italy], Centre médical universitaire de Genève (CMU), Therapie Cellulaire du Diabete, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Department of Clinical Sciences, Diabetes and Endocrinology Unit, Lund University [Lund], Gene Regulation, Stem Cells and Cancer Program, CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain, The Babraham Institute, The Babraham Institute, Cambridge, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, Wellcome Trust, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), Miguel-Escalada, Irene, Bonàs-Guarch, Silvia, Cebola, Inê, Ponsa-Cobas, Joan, Mendieta-Esteban, Julen, Atla, Goutham, Javierre, Biola M, Rolando, Delphine M Y, Farabella, Irene, Morgan, Claire C, García-Hurtado, Javier, Beucher, Anthony, Morán, Ignasi, Pasquali, Lorenzo, Ramos-Rodríguez, Mireia, Appel, Emil V R, Linneberg, Allan, Gjesing, Anette P, Witte, Daniel R, Pedersen, Oluf, Grarup, Niel, Ravassard, Philippe, Torrents, David, Mercader, Josep M, Piemonti, Lorenzo, Berney, Thierry, de Koning, Eelco J P, Kerr-Conte, Julie, Pattou, Françoi, Fedko, Iryna O, Groop, Leif, Prokopenko, Inga, Hansen, Torben, Marti-Renom, Marc A, Fraser, Peter, Ferrer, Jorge, and Hubrecht Institute for Developmental Biology and Stem Cell Research
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Epigenomics ,endocrine system diseases ,Metabolic disorders ,Gene regulatory network ,Molecular Conformation ,Genome-wide association study ,VARIANTS ,Genome-wide association studies ,Genome ,Cohort Studies ,0302 clinical medicine ,Genetics research ,Insulin Secretion ,Gene Regulatory Networks ,TRANSCRIPTION ,Promoter Regions, Genetic ,11 Medical and Health Sciences ,ComputingMilieux_MISCELLANEOUS ,Genetics ,Genetics & Heredity ,RISK ,0303 health sciences ,geography.geographical_feature_category ,ddc:617 ,CELL IDENTITY ,Islet ,Chromatin ,READ ALIGNMENT ,medicine.anatomical_structure ,Enhancer Elements, Genetic ,Life Sciences & Biomedicine ,EXPRESSION ,endocrine system ,Biology ,MECHANISMS ,03 medical and health sciences ,Islets of Langerhans ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Enhancer ,Gene ,030304 developmental biology ,geography ,Science & Technology ,Pancreatic islets ,06 Biological Sciences ,SUPER-ENHANCERS ,TCF7L2 ,Diabetes Mellitus, Type 2 ,Gene Expression Regulation ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,030217 neurology & neurosurgery ,Genome-Wide Association Study ,Developmental Biology - Abstract
Genetic studies promise to provide insight into the molecular mechanisms underlying type 2 diabetes (T2D). Variants associated with T2D are often located in tissue-specific enhancer clusters or super-enhancers. So far, such domains have been defined through clustering of enhancers in linear genome maps rather than in three-dimensional (3D) space. Furthermore, their target genes are often unknown. We have created promoter capture Hi-C maps in human pancreatic islets. This linked diabetes-associated enhancers to their target genes, often located hundreds of kilobases away. It also revealed >1,300 groups of islet enhancers, super-enhancers and active promoters that form 3D hubs, some of which show coordinated glucose-dependent activity. We demonstrate that genetic variation in hubs impacts insulin secretion heritability, and show that hub annotations can be used for polygenic scores that predict T2D risk driven by islet regulatory variants. Human islet 3D chromatin architecture, therefore, provides a framework for interpretation of T2D genome-wide association study (GWAS) signals. This research was supported by the National Institute for Health Research Imperial Biomedical Research Centre. Work was funded by grants from the Wellcome Trust (nos. WT101033 to J.F. and WT205915 to I.P.), Horizon 2020 (Research and Innovation Programme nos. 667191, to J.F., 633595, to I.P., and 676556, to M.A.M.-R.; Marie Sklodowska-Curie 658145, to I.M.-E., and 43062 ZENCODE, to G.A.), European Research Council (nos. 789055, to J.F., and 609989, to M.A.M.-R.). Marató TV3 (no. 201611, to J.F. and M.A.M.-R.), Ministerio de Ciencia Innovación y Universidades (nos. BFU2014-54284-R, RTI2018-095666, to J.F., BFU2017-85926-P, to M.A.M.-R., IJCI-2015-23352, to I.F.), AGAUR (to M.A.M.-R.). UK Medical Research Council (no. MR/L007150/1, to P.F., MR/L02036X/1 to J.F.), World Cancer Research Fund (WCRF UK, to I.P.) and World Cancer Research Fund International (no. 2017/1641 to I.P.), Biobanking and Biomolecular Resources Research Infrastructure (nos. BBMRI-NL, NWO 184.021.007, to I.O.F.). Work in IDIBAPS, CRG and CNAG was supported by the CERCA Programme, Generalitat de Catalunya and Centros de Excelencia Severo Ochoa (no. SEV-2012-0208). Human islets were provided through the European islet distribution program for basic research supported by JDRF (no. 3-RSC-2016-160-I-X). We thank N. Ruiz-Gomez for technical assistance; R. L. Fernandes, T. Thorne (University of Reading) and A. Perdones-Montero (Imperial College London) for helpful discussions regarding Machine Learning approaches; B. Lenhard and M. Merkenschlager (London Institute of Medical Sciences, Imperial College London), F. Müller (University of Birmingham) and J. L. Gómez-Skarmeta (Centro Andaluz de Biología del Desarrollo) for critical comments on the draft; the CRG Genomics Unit; and the Imperial College High Performance Computing Service.
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- 2019
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15. The genomic architecture of blood metabolites based on a decade of genome-wide analyses
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Aswin Verhoeven, Thomas Hankemeier, P. Eline Slagboom, Jouke-Jan Hottenga, Pieter Jelle Visser, Iryna O. Fedko, Marian Beekman, Anouk den Braber, Fiona A. Hagenbeek, Abdel Abdellaoui, Gonneke Willemsen, Jenny van Dongen, Cornelia M. van Duijn, Ko Willems van Dijk, René Pool, Michel G. Nivard, Dorret I. Boomsma, Amy C. Harms, Eco J. C. de Geus, Meike Bartels, Harmen H.M. Draisma, and H. Eka D. Suchiman
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Genetics ,chemistry.chemical_compound ,Metabolomics ,chemistry ,Metabolite ,Genetic variation ,Biology ,Heritability ,Genome ,Phenotype ,Genetic architecture ,Genetic association - Abstract
Metabolomics examines the small molecules involved in cellular metabolism. Approximately 50% of total phenotypic differences in metabolite levels is due to genetic variance, but heritability estimates differ across metabolite classes and lipid species. We performed a review of all genetic association studies, and identified > 800 class-specific metabolite loci that influence metabolite levels. In a twin-family cohort (N= 5,117), these metabolite loci were leveraged to simultaneously estimate total heritability (h2total), and the proportion of heritability captured by known metabolite loci (h2Metabolite-hits) for 309 lipids and 52 organic acids. Our study revealed significant differences inh2Metabolite-hitsamong different classes of lipids and organic acids. Furthermore, phosphatidylcholines with a high degree of unsaturation had higherh2Metabolite-hitsestimates than phosphatidylcholines with a low degree of unsaturation. This study highlights the importance of common genetic variants for metabolite levels, and elucidates the genetic architecture of metabolite classes and lipid species.
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- 2019
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16. A Potential Role for the STXBP5-AS1 Gene in Adult ADHD Symptoms
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René Pool, Sabine Spijker, T. E. Galesloot, Josep Antoni Ramos-Quiroga, Barbara Franke, Jan K. Buitelaar, Marieke Klein, Catharina A. Hartman, Janita Bralten, Christel M. Middeldorp, Michel G. Nivard, Conor V. Dolan, Dina Vojinovic, Lambertus A. Kiemeney, Ilja M. Nolte, Najaf Amin, Alexander J. Groffen, V. M. Kattenberg, Alejandro Arias-Vasquez, A. den Braber, Cristina Sánchez-Mora, Iryna O. Fedko, J.J.S. Kooij, J-J Hottenga, Sita H. Vermeulen, August B. Smit, Klaasjan G. Ouwens, Dorret I. Boomsma, Martine Hoogman, C.M. van Duijn, Pieter J. Hoekstra, Harmen H.M. Draisma, Marta Ribasés, Brenda W.J.H. Penninx, P. J. van der Most, Human genetics, APH - Mental Health, Psychiatry, Neurology, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, APH - Health Behaviors & Chronic Diseases, APH - Digital Health, Epidemiology, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Functional Genomics, Molecular and Cellular Neurobiology, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Personalized Medicine, APH - Methodology, EMGO+ - Lifestyle, Overweight and Diabetes, Center for Neurogenomics and Cognitive Research, and Amsterdam Neuroscience - Neurodegeneration
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Male ,0301 basic medicine ,Oncology ,Netherlands Twin Register (NTR) ,Genome-wide association study ,TOMOSYN ,Cohort Studies ,R-SNARE Proteins ,Mice ,0302 clinical medicine ,Risk Factors ,Epidemiology ,GWAS ,Prefrontal cortex ,Genetics (clinical) ,education.field_of_study ,ATTENTION-DEFICIT/HYPERACTIVITY DISORDER ,ASSOCIATION ,Phenotype ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Female ,RNA, Long Noncoding ,medicine.symptom ,SNARE COMPLEX ,Adult ,medicine.medical_specialty ,Genotype ,Population ,Nerve Tissue Proteins ,Single-nucleotide polymorphism ,Impulsivity ,BIOBANK ,Polymorphism, Single Nucleotide ,ADHD symptoms ,DNA, Antisense ,ENVIRONMENTAL-INFLUENCES ,03 medical and health sciences ,All institutes and research themes of the Radboud University Medical Center ,SDG 3 - Good Health and Well-being ,Internal medicine ,Genetics ,medicine ,Animals ,Humans ,SNP ,Adults ,Genetic Predisposition to Disease ,AUTISM ,education ,Ecology, Evolution, Behavior and Systematics ,DEFICIT-HYPERACTIVITY-DISORDER ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,business.industry ,Heritability ,STXBP5-AS1 gene ,Genetics, Population ,HEK293 Cells ,030104 developmental biology ,Attention Deficit Disorder with Hyperactivity ,RNA ,SCALES ,business ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
We aimed to detect Attention-deficit/hyperactivity (ADHD) risk-conferring genes in adults. In children, ADHD is characterized by age-inappropriate levels of inattention and/or hyperactivity-impulsivity and may persists into adulthood. Childhood and adulthood ADHD are heritable, and are thought to represent the clinical extreme of a continuous distribution of ADHD symptoms in the general population. We aimed to leverage the power of studies of quantitative ADHD symptoms in adults who were genotyped. Within the SAGA (Study of ADHD trait genetics in adults) consortium, we estimated the single nucleotide polymorphism (SNP)-based heritability of quantitative self-reported ADHD symptoms and carried out a genome-wide association meta-analysis in nine adult population-based and case-only cohorts of adults. A total of n = 14,689 individuals were included. In two of the SAGA cohorts we found a significant SNP-based heritability for self-rated ADHD symptom scores of respectively 15% (n = 3656) and 30% (n = 1841). The top hit of the genome-wide meta-analysis (SNP rs12661753; p-value = 3.02 × 10 −7 ) was present in the long non-coding RNA gene STXBP5-AS1. This association was also observed in a meta-analysis of childhood ADHD symptom scores in eight population-based pediatric cohorts from the Early Genetics and Lifecourse Epidemiology (EAGLE) ADHD consortium (n = 14,776). Genome-wide meta-analysis of the SAGA and EAGLE data (n = 29,465) increased the strength of the association with the SNP rs12661753. In human HEK293 cells, expression of STXBP5-AS1 enhanced the expression of a reporter construct of STXBP5, a gene known to be involved in “SNAP” (Soluble NSF attachment protein) Receptor” (SNARE) complex formation. In mouse strains featuring different levels of impulsivity, transcript levels in the prefrontal cortex of the mouse ortholog Gm28905 strongly correlated negatively with motor impulsivity as measured in the five choice serial reaction time task (r 2 = − 0.61; p = 0.004). Our results are consistent with an effect of the STXBP5-AS1 gene on ADHD symptom scores distribution and point to a possible biological mechanism, other than antisense RNA inhibition, involved in ADHD-related impulsivity levels.
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- 2019
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17. Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium
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Robert F. Krueger, Teresa Nutile, Georg Homuth, Ina Giegling, Aarno Palotie, Katja Appel, Grant W. Montgomery, Elisabeth Widen, Jouke-Jan Hottenga, Beate St Pourcain, Caroline Hayward, Andrea Maschio, Andrew C. Heath, Narelle K. Hansell, Terho Lehtimäki, Wendy S. Slutske, Sarah E. Medland, Johan G. Eriksson, John M. Starr, Antonio Terracciano, Jonathan Marten, Olli T. Raitakari, Liisa Keltikangas-Järvinen, Igor Rudan, Kati Heinonen, Brenda W.J.H. Penninx, David J. Porteous, Klaasjan G. Ouwens, Barbara Franke, Jaakko Kaprio, Erik Pettersson, Jueri Allik, Ian J. Deary, Alessandra Minelli, Nicholas G. Martin, William G. Iacono, Yuri Milaneschi, Ilkka Seppälä, David M. Evans, Lina Zgaga, John P. Kemp, Alexander Teumer, Dorret I. Boomsma, Harry Campbell, Margaret J. Wright, Abraham A. Palmer, Jun Ding, Patrik K. E. Magnusson, Marleen H. M. de Moor, James F. Wilson, Anu Realo, Paul T. Costa, Scott D. Gordon, Jaime Derringer, Michel G. Nivard, Cornelia M. van Duijn, David C. Liewald, David Schlessinger, Marina Ciullo, Juho Wedenoja, Amy B. Hart, Laura J. Bierut, Angelina R. Sutin, Hamdi Mbarek, Alexander Viktorin, Stéphanie Martine van den Berg, Ozren Polasek, Harriet de Wit, Jari Lahti, Dan Rujescu, Nicholas J. Timpson, Matthias Nauck, Fabio Busonero, Iryna O. Fedko, Evelin Mihailov, Gonçalo R. Abecasis, John M. Hettema, Daniel E. Adkins, Hans J. Grabe, Richard A. Grucza, Luigi Ferrucci, Alejandro Arias Vasquez, Barbara E. Engelhardt, Laura Pulkki-Råback, Antti Latvala, Bettina Konte, Michelle Luciano, Robert Karlsson, Chiara Magri, Sita H. Vermeulen, Tõnu Esko, Arpana Agrawal, Matt McGue, Holly Trochet, Joost G. E. Janzing, Gail Davies, Toshiko Tanaka, Rossella Sorice, Timothy B. Bigdeli, Abdel Abdellaoui, Karin J. H. Verweij, Andres Metspalu, Nancy L. Pedersen, Anjali K. Henders, Matthew G. Kirkpatrick, Yong Qian, Lindsay K. Matteson, Annette M. Hartmann, George Davey Smith, Michael B. Miller, Najaf Amin, Pamela A. F. Madden, Richard J. Rose, Minyoung Lee, Eero Vuoksimaa, Katri Räikkönen, Markus Jokela, Jennifer E. Huffman, Carsten Oliver Schmidt, Jasper Wouda, Daniela Ruggiero, Academic Medical Center, Helsinki Collegium for Advanced Studies, Behavioural Sciences, Clinicum, Department of Public Health, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Diabetes and Obesity Research Program, Research Programs Unit, Institute for Molecular Medicine Finland, Aarno Palotie / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, Jaakko Kaprio / Principal Investigator, Psychosocial factors and health, Developmental Psychology Research Group, Genomics of Neurological and Neuropsychiatric Disorders, Genetic Epidemiology, Genomic Discoveries and Clinical Translation, Faculty of Behavioural, Management and Social Sciences, Psychiatry, EMGO - Mental health, Amsterdam Neuroscience - Complex Trait Genetics, IOO, EMGO+ - Mental Health, Biological Psychology, Clinical Child and Family Studies, Erasmus MC other, and Epidemiology
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0301 basic medicine ,Netherlands Twin Register (NTR) ,Multifactorial Inheritance ,Genome-wide association study ,Cohort Studies ,Extraversion, Psychological ,0302 clinical medicine ,Risk Factors ,NEUROTICISM ,Genetics(clinical) ,IR-99241 ,Big Five personality traits ,Genetics (clinical) ,Original Research ,media_common ,Genetics ,Ecology ,HERITABILITY ,METIS-315471 ,Polymorphism, Single Nucleotide/genetics ,Neuroticism ,3142 Public health care science, environmental and occupational health ,Common genetic variants ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Trait ,Psychology ,Personality ,DIMENSIONS ,NEUROTROPHIC FACTOR BDNF ,Evolution ,515 Psychology ,media_common.quotation_subject ,Single-nucleotide polymorphism ,Phenotype harmonization ,Polymorphism, Single Nucleotide ,Imputation ,Polygenic risk ,Ecology, Evolution, Behavior and Systematics ,03 medical and health sciences ,Behavior and Systematics ,Personality/genetics ,CLONINGERS TEMPERAMENT SCALES ,5-FACTOR MODEL ,Humans ,Multifactorial Inheritance/genetics ,PSYCHOBIOLOGICAL MODEL ,Extraversion and introversion ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Other Research Radboud Institute for Health Sciences [Radboudumc 0] ,Extraversion (Psychology) ,COMMON SNPS EXPLAIN ,030104 developmental biology ,LARGE PROPORTION ,3111 Biomedicine ,Developmental Psychopathology ,HUMAN HEIGHT ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Extraversion is a relatively stable and heritable personality trait associated with numerous psychosocial, lifestyle and health outcomes. Despite its substantial heritability, no genetic variants have been detected in previous genome-wide association (GWA) studies, which may be due to relatively small sample sizes of those studies. Here, we report on a large meta-analysis of GWA studies for extraversion in 63,030 subjects in 29 cohorts. Extraversion item data from multiple personality inventories were harmonized across inventories and cohorts. No genome-wide significant associations were found at the single nucleotide polymorphism (SNP) level but there was one significant hit at the gene level for a long non-coding RNA site (LOC101928162). Genome-wide complex trait analysis in two large cohorts showed that the additive variance explained by common SNPs was not significantly different from zero, but polygenic risk scores, weighted using linkage information, significantly predicted extraversion scores in an independent cohort. These results show that extraversion is a highly polygenic personality trait, with an architecture possibly different from other complex human traits, including other personality traits. Future studies are required to further determine which genetic variants, by what modes of gene action, constitute the heritable nature of extraversion. © 2015, The Author(s). Extraversion is a relatively stable and heritable personality trait associated with numerous psychosocial, lifestyle and health outcomes. Despite its substantial heritability, no genetic variants have been detected in previous genome-wide association (GWA) studies, which may be due to relatively small sample sizes of those studies. Here, we report on a large meta-analysis of GWA studies for extraversion in 63,030 subjects in 29 cohorts. Extraversion item data from multiple personality inventories were harmonized across inventories and cohorts. No genome-wide significant associations were found at the single nucleotide polymorphism (SNP) level but there was one significant hit at the gene level for a long non-coding RNA site (LOC101928162). Genome-wide complex trait analysis in two large cohorts showed that the additive variance explained by common SNPs was not significantly different from zero, but polygenic risk scores, weighted using linkage information, significantly predicted extraversion scores in an independent cohort. These results show that extraversion is a highly polygenic personality trait, with an architecture possibly different from other complex human traits, including other personality traits. Future studies are required to further determine which genetic variants, by what modes of gene action, constitute the heritable nature of extraversion.
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- 2016
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18. Genetics of fasting indices of glucose homeostasis using GWIS unravels tight relationships with inflammatory markers
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Daniel I. Chasman, Zhanna Balkhiyarova, Jouke-Jan Hottenga, Paul M. Ridker, Christopher J. O'Donnell, Marika Kaakinen, Michel G. Nivard, Iryna O. Fedko, I Prokopenko, Dorret I. Boomsma, Jie Huang, Liudmila Zudina, Guillaume Paré, Santhi K. Ganesh, Reedik Mägi, and Mike A. Nalls
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Genetics ,0303 health sciences ,Adiponectin ,endocrine system diseases ,Insulin ,medicine.medical_treatment ,nutritional and metabolic diseases ,030209 endocrinology & metabolism ,Genome-wide association study ,Type 2 diabetes ,Biology ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Insulin resistance ,Diabetes mellitus ,medicine ,Glucose homeostasis ,030304 developmental biology ,Genetic association - Abstract
PurposeHomeostasis Model Assessment of β-cell function and Insulin Resistance (HOMA-B/-IR) indices are informative about the pathophysiological processes underlying type 2 diabetes (T2D). Data on both fasting glucose and insulin levels are required to calculate HOMA-B/-IR, leading to underpowered Genome-Wide Association studies (GWAS) of these traits.MethodsWe overcame such power loss issues by implementing Genome-Wide Inferred Statistics (GWIS) approach and subsequent dense genome-wide imputation of HOMA-B/-IR summary statistics with SS-imp to 1000 Genomes project variant density, reaching an analytical sample size of 75,240 European individuals without diabetes. We dissected mechanistic heterogeneity of glycaemic trait/T2D loci effects on HOMA-B/-IR and their relationships with 36 inflammatory and cardiometabolic phenotypes.ResultsWe identified one/three novel HOMA-B (FOXA2)/HOMA-IR (LYPLAL1, PER4,PPP1R3B) loci. We detected novel strong genetic correlations between HOMA-IR/-B and Plasminogen Activator Inhibitor 1 (PAI-1, rg=0.92/0.78, P=2.13×10-4/2.54×10-3). HOMA-IR/-B were also correlated with C-Reactive Protein (rg=0.33/0.28, P=4.67×10-3/3.65×10-3). HOMA-IR was additionally correlated with T2D (rg=0.56, P=2.31×10-9), glycated haemoglobin (rg=0.28, P=0.024) and adiponectin (rg=-0.30, P=0.012).ConclusionUsing innovative GWIS approach for composite phenotypes we report novel evidence for genetic relationships between fasting indices of insulin resistance/beta-cell function and inflammatory markers, providing further support for the role of inflammation in T2D pathogenesis.
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- 2018
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19. Human pancreatic islet 3D chromatin architecture provides insights into the genetics of type 2 diabetes
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Ignasi Moran, Daniel R. Witte, Lorenzo Piemonti, Torben Hansen, Sílvia Bonàs-Guarch, Anette P. Gjesing, Irene Farabella, Julie Kerr-Conte, Goutham Atla, Irene Miguel-Escalada, Inês Cebola, David Torrents, Marc A. Marti-Renom, Mireia Ramos-Rodríguez, Delphine M.Y. Rolando, Ole Birger Pedersen, Thierry Berney, Emil V. R. Appel, Niels Grarup, Philippe Ravassard, Lorenzo Pasquali, Jorge Ferrer, Inga Prokopenko, Joan Ponsa-Cobas, Allan Linneberg, Anthony Beucher, Iryna O. Fedko, Biola M. Javierre, Josep M. Mercader, Julen Mendieta-Esteban, François Pattou, Eelco J.P. de Koning, Javier García-Hurtado, Peter Fraser, and Claire Morgan
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Genetics ,endocrine system ,0303 health sciences ,geography ,geography.geographical_feature_category ,endocrine system diseases ,Pancreatic islets ,Genome-wide association study ,Genomics ,Biology ,Islet ,Genome ,Chromatin ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,medicine ,Enhancer ,Gene ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
Genetic studies promise to provide insight into the molecular mechanisms underlying type 2 diabetes (T2D). Variants associated with T2D are often located in tissue-specific enhancer regions (enhancer clusters, stretch enhancers or super-enhancers). So far, such domains have been defined through clustering of enhancers in linear genome maps rather than in 3D-space. Furthermore, their target genes are generally unknown. We have now created promoter capture Hi-C maps in human pancreatic islets. This linked diabetes-associated enhancers with their target genes, often located hundreds of kilobases away. It further revealed sets of islet enhancers, super-enhancers and active promoters that form 3D higher-order hubs, some of which show coordinated glucose-dependent activity. Hub genetic variants impact the heritability of insulin secretion, and help identify individuals in whom genetic variation of islet function is important for T2D. Human islet 3D chromatin architecture thus provides a framework for interpretation of T2D GWAS signals.
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- 2018
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20. Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset
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Charlotte Huppertz, Dorret I. Boomsma, Jacqueline M. Vink, Iryna O. Fedko, Camelia C. Minică, Jouke-Jan Hottenga, Hamdi Mbarek, Meike Bartels, René Pool, Conor V. Dolan, Biological Psychology, and Neuroscience Campus Amsterdam - Neurobiology of Mental Health
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Male ,Netherlands Twin Register (NTR) ,Adolescent ,Genotype ,Marijuana Smoking ,Single-nucleotide polymorphism ,Genome-wide association study ,Biology ,Polymorphism, Single Nucleotide ,Heritability ,03 medical and health sciences ,0302 clinical medicine ,Genetics ,Humans ,SNP ,Genetics(clinical) ,Genetic Predisposition to Disease ,Initiation ,Registries ,Age of Onset ,International HapMap Project ,1000 Genomes Project ,SDG 2 - Zero Hunger ,Genetics (clinical) ,Ecology, Evolution, Behavior and Systematics ,Proportional Hazards Models ,Original Research ,Cannabis ,030304 developmental biology ,0303 health sciences ,Age at onset ,Explained variation ,3. Good health ,Phenotype ,Female ,Age of onset ,Developmental Psychopathology ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Prior searches for genetic variants (GVs) implicated in initiation of cannabis use have been limited to common single nucleotide polymorphisms (SNPs) typed in HapMap samples. Denser SNPs are now available with the completion of the 1000 Genomes and the Genome of the Netherlands projects. More densely distributed SNPs are expected to track the causal variants better. Therefore we extend the search for variants implicated in early stages of cannabis use to previously untagged common and low-frequency variants. We run heritability, SNP and gene-based analyses of initiation and age at onset. This is the first genome-wide study of age at onset to date. Using GCTA and a sample of distantly related individuals from the Netherlands Twin Register, we estimated that the currently measured (and tagged) SNPs collectively explain 25 % of the variance in initiation (SE = 0.088; P = 0.0016). Chromosomes 4 and 18, previously linked with cannabis use and other addiction phenotypes, account for the largest amount of variance in initiation (6.8 %, SE = 0.025, P = 0.002 and 3.6 %, SE = 0.01, P = 0.012, respectively). No individual SNP- or gene-based test reached genomewide significance in the initiation or age at onset analyses. Our study detected association signal in the currently measured SNPs. A comparison with prior SNP-heritability estimates suggests that at least part of the signal is likely coming from previously untyped common and low frequency variants. Our results do not rule out the contribution of rare variants of larger effect—a plausible source of the difference between the twin-based heritability estimate and that from GCTA. The causal variants are likely of very small effect (i.e.
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- 2015
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21. Predicting loneliness with polygenic scores of social, psychological and psychiatric traits
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Abdel Abdellaoui, Erik A. Ehli, Iryna O. Fedko, Bart M. L. Baselmans, Michel G. Nivard, Karin J. H. Verweij, John T. Cacioppo, Dorret I. Boomsma, Gareth E. Davies, Jouke-Jan Hottenga, Meike Bartels, Adult Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, and APH - Methodology
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0301 basic medicine ,Adult ,Male ,Netherlands Twin Register (NTR) ,medicine.medical_specialty ,Multifactorial Inheritance ,Bipolar Disorder ,Population ,Article ,03 medical and health sciences ,Behavioral Neuroscience ,genetic prediction ,Genetics ,medicine ,loneliness ,Humans ,Genetic Predisposition to Disease ,Bipolar disorder ,Genetic Testing ,Big Five personality traits ,Psychiatry ,education ,Aged ,Netherlands ,Aged, 80 and over ,education.field_of_study ,Depressive Disorder, Major ,major depressive disorder ,Loneliness ,Conscientiousness ,Middle Aged ,medicine.disease ,Neuroticism ,genetic correlation ,polygenic scores ,030104 developmental biology ,Phenotype ,Neurology ,Schizophrenia ,Major depressive disorder ,Female ,Self Report ,medicine.symptom ,Psychology ,Genome-Wide Association Study - Abstract
Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8798 Dutch individuals. Polygenic scores for major depressive disorder (MDD), schizophrenia and bipolar disorder were significantly associated with loneliness. Of the Big Five personality dimensions, polygenic scores for neuroticism and conscientiousness also significantly predicted loneliness, as did the polygenic scores for subjective well-being, tiredness and self-rated health. When including all polygenic scores simultaneously into one model, only 2 major depression polygenic scores remained as significant predictors of loneliness. When controlling only for these 2 MDD polygenic scores, only neuroticism and schizophrenia remain significant. The total variation explained by all polygenic scores collectively was 1.7%. The association between the propensity to feel lonely and the susceptibility to psychiatric disorders thus pointed to a shared genetic etiology. The predictive power of polygenic scores will increase as the power of the genome-wide association studies on which they are based increases and may lead to clinically useful polygenic scores that can inform on the genetic predisposition to loneliness and mental health.
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- 2018
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22. The Genetics of Alcohol Dependence: Twin and SNP-Based Heritability, and Genome-Wide Association Study Based on AUDIT Scores
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Jouke-Jan Hottenga, Rick Jansen, Dorret I. Boomsma, Brenda W.J.H. Penninx, Gonneke Willemsen, Marleen H. M. de Moor, Richard Sherva, Yuri Milaneschi, Hamdi Mbarek, Jacqueline M. Vink, Iryna O. Fedko, Joel Gelernter, Psychiatry, NCA - Neurobiology of mental health, EMGO - Mental health, Biological Psychology, Clinical Child and Family Studies, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Epidemiology, and Urology
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Adult ,Male ,Netherlands Twin Register (NTR) ,Concordance ,Quantitative Trait Loci ,Population ,Twins ,Single-nucleotide polymorphism ,Genome-wide association study ,Biology ,Quantitative trait locus ,Polymorphism, Single Nucleotide ,Cellular and Molecular Neuroscience ,SDG 3 - Good Health and Well-being ,Humans ,Genetic Predisposition to Disease ,education ,Genetic Association Studies ,Genetics (clinical) ,Netherlands ,Genetics ,education.field_of_study ,Alcohol Use Disorders Identification Test ,Alcohol dependence ,Heritability ,Alcoholism ,Psychiatry and Mental health ,Case-Control Studies ,Female ,Developmental Psychopathology ,Genome-Wide Association Study - Abstract
Item does not contain fulltext Alcohol dependence (AD) is among the most common and costly public health problems contributing to morbidity and mortality throughout the world. In this study, we investigate the genetic basis of AD in a Dutch population using data from the Netherlands Twin Register (NTR) and the Netherlands Study of Depression and Anxiety (NESDA). The presence of AD was ascertained via the Alcohol Use Disorders Identification Test (AUDIT) applying cut-offs with good specificity and sensitivity in identifying those at risk for AD. Twin-based heritability of AD-AUDIT was estimated using structural equation modeling of data in 7,694 MZ and DZ twin pairs. Variance in AD-AUDIT explained by all SNPs was estimated with genome-wide complex trait analysis (GCTA). A genome-wide association study (GWAS) was performed in 7,842 subjects. GWAS SNP effect concordance analysis was performed between our GWAS and a recent AD GWAS using DSM-IV diagnosis. The twin-based heritability of AD-AUDIT was estimated at 60% (55-69%). GCTA showed that common SNPs jointly capture 33% (SE = 0.12, P = 0.002) of this heritability. In the GWAS, the top hits were positioned within four regions (4q31.1, 2p16.1, 6q25.1, 7p14.1) with the strongest association detected for rs55768019 (P = 7.58 × 10-7). This first GWAS of AD using the AUDIT measure found results consistent with previous genetic studies using DSM diagnosis: concordance in heritability estimates and direction of SNPs effect and overlap with top hits from previous GWAS. Thus, the use of appropriate questionnaires may represent cost-effective strategies to phenotype samples in large-scale biobanks or other population-based datasets. 10 p.
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- 2015
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23. Single Nucleotide Polymorphism Heritability of Behavior Problems in Childhood: Genome-Wide Complex Trait Analysis
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Iryna O. Fedko, Viara R. Mileva-Seitz, Vincent W. V. Jaddoe, Marinus H. van IJzendoorn, Dorret I. Boomsma, Frank C. Verhulst, Ralph C. A. Rippe, Henning Tiemeier, Irene Pappa, Marian J. Bakermans-Kranenburg, Meike Bartels, Jouke-Jan Hottenga, Catharina E. M. van Beijsterveldt, Christel M. Middeldorp, Fernando Rivadeneira, Psychiatry, NCA - Neurobiology of mental health, EMGO - Mental health, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Department of Psychology, Education and Child Studies, Erasmus MC other, Epidemiology, Ophthalmology, Child and Adolescent Psychiatry / Psychology, Internal Medicine, and Research Methods and Techniques
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Male ,Netherlands Twin Register (NTR) ,Population ,Single-nucleotide polymorphism ,Genome-wide association study ,heritability ,Biology ,Polymorphism, Single Nucleotide ,Cohort Studies ,Cognition ,Quantitative Trait, Heritable ,children ,Genetic variation ,Genotype ,Developmental and Educational Psychology ,Humans ,SNP ,Genetic Predisposition to Disease ,genome-wide complex trait analysis (GCTA) ,Child ,education ,Netherlands ,Genetic association ,Problem Behavior ,Psychiatric Status Rating Scales ,Genetics ,education.field_of_study ,SDG 10 - Reduced Inequalities ,Heritability ,behavior problems ,Psychiatry and Mental health ,Attention Deficit Disorder with Hyperactivity ,Child, Preschool ,Behavior Rating Scale ,Female ,Gene-Environment Interaction ,Software ,Genome-Wide Association Study - Abstract
Objective: Genetic factors contribute to individual differences in behavior problems. In children, genome-wide association studies (GWAS) have yielded the first suggestive results when aiming to identify genetic variants that explain heritability, but the proportion of genetic variance that can be attributed to common single nucleotide polymorphisms (SNPs) remains to be determined, as only a few studies have estimated SNP heritability, with diverging results. Method: Genomic-relationship-matrix restricted maximum likelihood (GREML) as implemented in the software Genome-Wide Complex Trait Analysis (GCTA) was used to estimate SNP heritability (SNP h2) for multiple phenotypes within 4 broad domains of children's behavioral problems (attention-deficit/hyperactivity symptoms, internalizing, externalizing, and pervasive developmental problems) and cognitive function. We combined phenotype and genotype data from 2 independent, population-based Dutch cohorts, yielding a total number of 1,495 to 3,175 of 3-, 7-, and 9-year-old children. Results: Significant SNP heritability estimates were found for attention-deficit/hyperactivity symptoms (SNP h2 = 0.37-0.71), externalizing problems (SNP h2 = 0.44), and total problems (SNP h2 = 0.18), rated by mother or teacher. Sensitivity analyses with exclusion of extreme cases and quantile normalization of the phenotype data decreased SNP h2 as expected under genetic inheritance, but they remained statistically significant for most phenotypes. Conclusion: We provide evidence of the influence of common SNPs on child behavior problems in an ethnically homogenous sample. These results support the continuation of large GWAS collaborative efforts to unravel the genetic basis of complex child behaviors.
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- 2015
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24. Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder
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Igor Rudan, Barbara Franke, Margaret J. Wright, Juho Wedenoja, Laura J. Bierut, Anjali K. Henders, Teresa Nutile, Andrew C. Heath, Joost G. E. Janzing, Anu Realo, Ilkka Seppälä, Lindsay K. Matteson, Nicholas J. Timpson, Tõnu Esko, Arpana Agrawal, Abraham A. Palmer, Rossella Sorice, Andres Metspalu, Patrik K. E. Magnusson, Aarno Palotie, Katja Appel, Elisabeth Widen, Ozren Polasek, Katri Räikkönen, Marleen H. M. de Moor, Matthew G. Kirkpatrick, Caroline Hayward, Hans Joergen Grabe, Ian J. Deary, Nicholas G. Martin, Karin J. H. Verweij, Klaasjan G. Ouwens, Alessandra Minelli, Angelina R. Sutin, William G. Iacono, Jennifer E. Huffman, Marina Ciullo, Dorret I. Boomsma, Harry Campbell, N. L. Pedersen, David J. Porteous, Timothy B. Bigdeli, Jasper Wouda, Jun Ding, Alexander Viktorin, David C. Liewald, Gonçalo R. Abecasis, Richard A. Grucza, Carsten Oliver Schmidt, Antti Latvala, James F. Wilson, Luigi Ferrucci, Erik Pettersson, Beate St Pourcain, Scott D. Gordon, Grant W. Montgomery, Stéphanie Martine van den Berg, Jaime Derringer, Yuri Milaneschi, Alexander Teumer, Holly Trochet, Daniel E. Adkins, Jaakko Kaprio, Brenda W.J.H. Penninx, Chiara Magri, Sita H. Vermeulen, Terho Lehtimäki, Alejandro Arias Vasquez, Harriet de Wit, Jari Lahti, Jouke-Jan Hottenga, Matt McGue, Johan G. Eriksson, Daniela Ruggiero, John P. Kemp, Toshiko Tanaka, Iryna O. Fedko, Jüri Allik, Yong Qian, Annette M. Hartmann, Cornelia M. van Duijn, Barbara E. Engelhardt, Laura Pulkki-Råback, Jonathan Marten, Pamela A. F. Madden, Olli T. Raitakari, Michelle Luciano, Robert Karlsson, Amy B. Hart, Gail Davies, Liisa Keltikangas-Järvinen, Robert F. Krueger, Narelle K. Hansell, Kati Heinonen, Georg Homuth, Eero Vuoksimaa, Wendy S. Slutske, Sarah E. Medland, Andrea Maschio, Najaf Amin, John M. Starr, Antonio Terracciano, David M. Evans, Markus Jokela, Lina Zgaga, Dan Rujescu, David Schlessinger, Ina Giegling, Matthias Nauck, John M. Hettema, Evelin Mihailov, Paul T. Costa, Michael B. Miller, Bettina Konte, Minyoung Lee, George Davey Smith, Fabio Busonero, Richard J. Rose, Psychiatry, NCA - Neurobiology of mental health, EMGO - Mental health, Erasmus MC other, Epidemiology, Immunology, Clinical Child and Family Studies, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Faculty of Behavioural, Management and Social Sciences, and Academic Medical Center
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Netherlands Twin Register (NTR) ,medicine.medical_specialty ,media_common.quotation_subject ,METIS-311183 ,Genome-wide association study ,IR-96768 ,mental disorders ,medicine ,Personality ,1000 Genomes Project ,Big Five personality traits ,Psychiatry ,Psychiatric genetics ,media_common ,Depressive Disorder ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,ta1184 ,medicine.disease ,Neuroticism ,ta3124 ,3. Good health ,Psychiatry and Mental health ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Major depressive disorder ,Psychology ,Imputation (genetics) ,Clinical psychology - Abstract
Contains fulltext : 153372.pdf (Publisher’s version ) (Closed access) IMPORTANCE: Neuroticism is a pervasive risk factor for psychiatric conditions. It genetically overlaps with major depressive disorder (MDD) and is therefore an important phenotype for psychiatric genetics. The Genetics of Personality Consortium has created a resource for genome-wide association analyses of personality traits in more than 63,000 participants (including MDD cases). OBJECTIVES: To identify genetic variants associated with neuroticism by performing a meta-analysis of genome-wide association results based on 1000 Genomes imputation; to evaluate whether common genetic variants as assessed by single-nucleotide polymorphisms (SNPs) explain variation in neuroticism by estimating SNP-based heritability; and to examine whether SNPs that predict neuroticism also predict MDD. DESIGN, SETTING, AND PARTICIPANTS: Genome-wide association meta-analysis of 30 cohorts with genome-wide genotype, personality, and MDD data from the Genetics of Personality Consortium. The study included 63,661 participants from 29 discovery cohorts and 9786 participants from a replication cohort. Participants came from Europe, the United States, or Australia. Analyses were conducted between 2012 and 2014. MAIN OUTCOMES AND MEASURES: Neuroticism scores harmonized across all 29 discovery cohorts by item response theory analysis, and clinical MDD case-control status in 2 of the cohorts. RESULTS: A genome-wide significant SNP was found on 3p14 in MAGI1 (rs35855737; P = 9.26 x 10-9 in the discovery meta-analysis). This association was not replicated (P = .32), but the SNP was still genome-wide significant in the meta-analysis of all 30 cohorts (P = 2.38 x 10-8). Common genetic variants explain 15% of the variance in neuroticism. Polygenic scores based on the meta-analysis of neuroticism in 27 cohorts significantly predicted neuroticism (1.09 x 10-12 < P < .05) and MDD (4.02 x 10-9 < P < .05) in the 2 other cohorts. CONCLUSIONS AND RELEVANCE: This study identifies a novel locus for neuroticism. The variant is located in a known gene that has been associated with bipolar disorder and schizophrenia in previous studies. In addition, the study shows that neuroticism is influenced by many genetic variants of small effect that are either common or tagged by common variants. These genetic variants also influence MDD. Future studies should confirm the role of the MAGI1 locus for neuroticism and further investigate the association of MAGI1 and the polygenic association to a range of other psychiatric disorders that are phenotypically correlated with neuroticism.
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- 2015
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25. Genetic Architecture of Subcortical Brain Structures in Over 40,000 Individuals Worldwide
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Arvin Saremi, Tomas Axelsson, Kristel R. van Eijk, Tonya White, Elena Shumskaya, Christine Macare, Christopher Chen, Neeltje E.M. van Haren, K Hegenscheid, Ingrid Melle, Benjamin S. Aribisala, Clyde Francks, Lisa R. Yanek, Konstantinos Arfanakis, Lars Nyberg, Nina Romanczuk-Seiferth, Clifford R. Jack, Thomas H. Wassink, Norman Delanty, Oscar L. Lopez, Jennifer S. Richards, Philippe Amouyel, William T. Longstreth, Michael W. Weiner, Maria J. Knol, Ralph Burkhardt, Ching-Yu Cheng, Wolfgang Hoffmann, Norbert Hosten, Alexander Teumer, Simone Reppermund, Markus M. Nöthen, Tien Yin Wong, Maria del C. Valdés Hernández, Bernd Kraemer, Murali Sargurupremraj, Amelia A. Assareh, Jessika E. Sussmann, Gabriel Cuellar-Partida, Ian J. Deary, Ganesh Chauhan, Christopher R.K. Ching, Arno Villringer, Dalia Kasperaviciute, Han G. Brunner, Srdjan Djurovic, Lachlan T. Strike, Albert V. Smith, Lars T. Westlye, Paul A. Nyquist, Bertram Müller-Myhsok, Phil Lee, Qiong Yang, Herve Lemaitre, Andreas Meyer-Lindenberg, Vidar M. Steen, Marc M. Bohlken, Rachel M. Brouwer, Charles DeCarli, Mar Matarin, Fabrice Crivello, Henry Völzke, Manuel Mattheisen, Bruno Vellas, Loes M. Olde Loohuis, Sudha Seshadri, Claudia L. Satizabal, Sebastian Mohnke, David C. Liewald, Li Shen, Kwangsik Nho, Simon E. Fisher, Deborah Janowitz, Wiro J. Niessen, Matthew J. Huentelman, Sylvane Desrivières, Ole A. Andreassen, Evan Fletcher, Christiane Wolf, Vilmundur Gudnason, Alejandro Arias-Vasquez, Charles C. White, Joshua C. Bis, Pauline Maillard, Ingrid Agartz, Oliver Grimm, Matthias Nauck, Andrew M. McIntosh, Iryna O. Fedko, Gianpiero L. Cavalleri, Andreas Heinz, Tulio Guadalupe, Andrew D. Johnson, Daan van Rooij, Thomas W. Mühleisen, Jessica A. Turner, Marieke Klein, Jia Yu Koh, Avram J. Holmes, Saud Alhusaini, Douglas N. Greve, Roberto Roiz-Santiañez, Nic J.A. van der Wee, Irina Filippi, Hans van Bokhoven, Miguel E. Rentería, Andrew J. Saykin, Marjolein M.J. van Donkelaar, Dan J. Stein, Randy L. Gollub, Sanjay M. Sisodiya, Honghuang Lin, Aaron Goldman, Patrizia Mecocci, Thomas Espeseth, Barbara Franke, Unn K. Haukvik, Theo G.M. van Erp, Venkata S. Mattay, Jonathan C Ipser, Catharina A. Hartman, Florian Holsboer, Saskia P. Hagenaars, Benedicto Crespo-Facorro, Manon Bernard, Jerome I. Rotter, Louis N. Vinke, Nastassja Koen, Vince D. Calhoun, Anders M. Dale, Dennis van der Meer, Jordan W. Smoller, Debra A. Fleischman, Janita Bralten, Hannah J. Jones, Lavinia Athanasiu, Hilleke E. Hulshoff Pol, Brenda W.J.H. Penninx, Peter R. Schofield, Roel A. Ophoff, J Wardlaw, Sven J. van der Lee, Katie L. McMahon, Esther Walton, Nicholas G. Martin, Gunter Schumann, Katharina Wittfeld, Perminder S. Sachdev, André G. Uitterlinden, Christophe Tzourio, Pieter J. Hoekstra, Roberto Toro, Henry Brodaty, Marcella Rietschel, David Ames, George Davey Smith, G. Bruce Pike, Alexa S. Beiser, Zdenka Pausova, Simon Lovestone, Robert C. Green, Greig I. de Zubicaray, Stephen M. Lawrie, Mark E. Bastin, Marco P. Boks, M. Mallar Chakravarty, Magda Tsolaki, Myriam Fornage, Nanda Rommelse, Andre F. Marquand, Anbupalam Thalamuthu, Helena Schmidt, Jason L. Stein, Bruce M. Psaty, Jan K. Buitelaar, Jean-Luc Martinot, Kazima B. Bulayeva, Henrik Walter, Xueqiu Jian, Yasaman Saba, Saima Hilal, Paul M. Thompson, Tamara B. Harris, Jaap Oosterlaan, Marie-José van Tol, Joshua L. Roffman, Bernard Mazoyer, Shuo Li, Nhat Trung Doan, Qiang Chen, John B.J. Kwok, Najaf Amin, Diana Tordesillas-Gutiérrez, Eco J. C. de Geus, Meike W. Vernooij, Andrew J. Schork, Susanne Erk, Daniel R. Weinberger, Grant W. Montgomery, Jean Shin, James T. Becker, Martine Hoogman, Philip L. De Jager, Dirk J. Heslenfeld, Derrek P. Hibar, Narelle K. Hansell, Andrew Simmons, Micael Andersson, Lucija Abramovic, Dorret I. Boomsma, Allison Stevens, Wei Wen, A. Veronica Witte, Owen Carmichael, Jayandra J. Himali, Asta Håberg, Hieab H.H. Adams, Nynke A. Groenewold, Sven Cichon, Wiepke Cahn, Lianne Schmaal, Shannon L. Risacher, Erik G. Jönsson, Shahrzad Kharabian Masouleh, Oliver Gruber, Tianye Jia, Hilkka Soininen, M. Kamran Ikram, Markus Loeffler, Philipp G. Sämann, Sungeun Kim, Jingyun Yang, Iwona Kłoszewska, Ryota Kanai, Christopher D. Whelan, Massimo Pandolfo, Dick J. Veltman, Diane M. Becker, Anouk den Braber, Hans J. Grabe, Neda Jahanshad, Yanhui Hu, Anita L. DeStefano, Beng-Choon Ho, Stephanie Le Hellard, Cornelia M. van Duijn, Georg Homuth, Tomáš Paus, Stéphanie Debette, Nicola J. Armstrong, Jouke-Jan Hottenga, Eric Westman, Tom V. Lee, Sarah E. Medland, Randy L. Buckner, Benno Pütz, Edith Hofer, Steven G. Potkin, Albert Hofman, Dennis van 't Ent, Sudheer Giddaluru, Tatiana Foroud, Guillén Fernández, John D. Eicher, Gareth E. Davies, Thomas H. Mosley, Michelle Luciano, Lenore J. Launer, Joshua W. Cheung, Markus Scholz, D. Höhn, Thomas Wolfers, Reinhold Schmidt, Arthur W. Toga, René S. Kahn, Nazanin Karbalai, Yuri Milaneschi, Margaret J. Wright, Martina Papmeyer, David A. Bennett, M. Arfan Ikram, Stefan Ehrlich, Marcel P. Zwiers, Karen A. Mather, and Joshua M. Shulman
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Candidate gene ,Globus pallidus ,nervous system ,Putamen ,Thalamus ,Caudate nucleus ,Synaptic signaling ,Nucleus accumbens ,Biology ,Bioinformatics ,Neuroscience ,Genetic architecture - Abstract
Subcortical brain structures are integral to motion, consciousness, emotions, and learning. We identified common genetic variation related to the volumes of nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen, and thalamus, using genome-wide association analyses in over 40,000 individuals from CHARGE, ENIGMA and the UK-Biobank. We show that variability in subcortical volumes is heritable, and identify 25 significantly associated loci (20 novel). Annotation of these loci utilizing gene expression, methylation, and neuropathological data identified 62 candidate genes implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
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- 2017
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26. Polygenic risk for alcohol consumption and its association with alcohol-related phenotypes: Do stress and life satisfaction moderate these relationships?
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Jorien L. Treur, Gonneke Willemsen, Karin J. H. Verweij, Jacqueline M. Vink, Dorret I. Boomsma, Lannie Ligthart, Iryna O. Fedko, Gabry W. Mies, Jouke-Jan Hottenga, Meike Bartels, Biological Psychology, APH - Personalized Medicine, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Methodology
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Netherlands Twin Register (NTR) ,0301 basic medicine ,Adult ,Male ,Multifactorial Inheritance ,Adolescent ,Alcohol Drinking ,Alcohol ,Genome-wide association study ,Personal Satisfaction ,Toxicology ,03 medical and health sciences ,chemistry.chemical_compound ,Young Adult ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,Risk Factors ,Journal Article ,Genetic predisposition ,Medicine ,Humans ,Pharmacology (medical) ,Young adult ,Gene–environment interaction ,Generalized estimating equation ,Aged ,Netherlands ,Pharmacology ,Aged, 80 and over ,Alcohol Use Disorders Identification Test ,business.industry ,Life satisfaction ,Middle Aged ,3. Good health ,Psychiatry and Mental health ,Alcoholism ,030104 developmental biology ,Phenotype ,chemistry ,Female ,Gene-Environment Interaction ,business ,Developmental Psychopathology ,030217 neurology & neurosurgery ,Stress, Psychological ,Demography ,Genome-Wide Association Study - Abstract
Contains fulltext : 179407.pdf (Publisher’s version ) (Closed access) Background: Genetic and environmental factors contribute about equally to alcohol-related phenotypes in adulthood. In the present study, we examined whether more stress at home or low satisfaction with life might be associated with heavier drinking or more alcohol-related problems in individuals with a high genetic susceptibility to alcohol use. Methods: Information on polygenic scores and drinking behavior was available in 6705 adults (65% female; 18-83 years) registered with the Netherlands Twin Register. Polygenic risk scores (PRSs) were constructed for all subjects based on the summary statistics of a large genome-wide association meta-analysis on alcohol consumption (grams per day). Outcome measures were quantity of alcohol consumption and alcohol-related problems assessed with the Alcohol Use Disorders Identification Test (AUDIT). Stress at home and life satisfaction were moderating variables whose significance was tested by Generalized Estimating Equation analyses taking familial relatedness, age and sex into account. Results: PRSs for alcohol were significantly associated with quantity of alcohol consumption and alcohol-related problems in the past year (R2 = 0.11% and 0.10% respectively). Participants who reported to have experienced more stress in the past year and lower life satisfaction, scored higher on alcohol-related problems (R2 = 0.27% and 0.29 respectively), but not on alcohol consumption. Stress and life satisfaction did not moderate the association between PRSs and the alcohol outcome measures. Conclusions: There were significant main effects of polygenic scores and of stress and life satisfaction on drinking behavior, but there was no support for PRS-by-stress or PRS-by-life satisfaction interactions on alcohol consumption and alcohol-related problems. 6 p.
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- 2017
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27. Genetic architecture of subcortical brain structures in 38,851 individuals
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Mar Matarin, Douglas N. Greve, Nic J.A. van der Wee, Evan Fletcher, Christiane Wolf, Arvin Saremi, Joshua W. Cheung, Randy L. Gollub, David Ames, Honghuang Lin, Nicholas G. Martin, Manon Bernard, Daniel R. Weinberger, Henry Völzke, Manuel Mattheisen, George Davey Smith, Dan J. Stein, Dorret I. Boomsma, John D. Eicher, Henrik Walter, Massimo Pandolfo, Andreas Meyer-Lindenberg, D. Hoehn, Louis N. Vinke, Wiro J. Niessen, G. Bruce Pike, Simon E. Fisher, Jerome I. Rotter, Neeltje E.M. van Haren, Neda Jahanshad, Stephen M. Lawrie, Mark E. Bastin, Sanjay M. Sisodiya, Marcella Rietschel, Jean Shin, Dirk J. Heslenfeld, Ingrid Agartz, Lars Nyberg, Nina Romanczuk-Seiferth, Clifford R. Jack, Markus Scholz, Baljeet Singh, Rachel M. Brouwer, Marco P. Boks, M. Mallar Chakravarty, Magda Tsolaki, André G. Uitterlinden, Amelia A. Assareh, Nastassja Koen, Beng-Choon Ho, Muralidharan Sargurupremraj, Perminder S. Sachdev, James T. Becker, Narelle K. Hansell, Katrin Hegenscheid, Zdenka Pausova, Irina Filippi, Hans van Bokhoven, Miguel E. Rentería, Robert C. Green, M. Kamran Ikram, Vidar M. Steen, Marc M. Bohlken, Iryna O. Fedko, Jayandra J. Himali, Hieab H.H. Adams, Erik G. Jönsson, Esther Walton, Gunter Schumann, Dennis van der Meer, Jordan W. Smoller, Ganesh Chauhan, Simon Lovestone, Kwangsik Nho, Gianpiero L. Cavalleri, Andrew Simmons, Shuo Li, Hannah J. Jones, Lavinia Athanasiu, Shahrzad Kharabian Masouleh, Micael Andersson, Andreas Heinz, Lucija Abramovic, Alexa S. Beiser, Vilmundur Gudnason, Oliver Gruber, Tianye Jia, Daan van Rooij, Philip L. De Jager, Allison Stevens, Thomas W. Mühleisen, Deborah Janowitz, Anita L. DeStefano, Gennady V. Roshchupkin, Maria C. Valdés Hernández, Nynke A. Groenewold, Vince D. Calhoun, Cornelia M. van Duijn, Roberto Toro, Wiepke Cahn, Florian Holsboer, Asta Håberg, Aaron Goldman, Lisa R. Yanek, Jingyun Yang, Matthias L. Schroeter, Patrizia Mecocci, Sven J. van der Lee, Gareth E. Davies, Elena Shumskaya, Jia Yu Koh, Thomas H. Wassink, Wei Wen, A. Veronica Witte, Anders M. Dale, Diana Tordesillas-Gutiérrez, Iwona Kłoszewska, Benedicto Crespo-Facorro, Sylvane Desrivières, Catharina A. Hartman, Saskia P. Hagenaars, Jennifer S. Richards, Martine Hoogman, Philipp G. Sämann, Andre F. Marquand, Stephanie Le Hellard, Christophe Tzourio, Sven Cichon, Tomáš Paus, Ole A. Andreassen, Pieter J. Hoekstra, Gabriel Cuellar-Partida, Joanna M. Wardlaw, Thomas H. Mosley, Bernd Kraemer, Barbara Franke, Joshua C. Bis, Katharina Wittfeld, Christopher D. Whelan, Christine Macare, Unn K. Haukvik, Lars T. Westlye, Loes M. Olde Loohuis, Sudha Seshadri, Michelle Luciano, Shannon L. Risacher, Diane M. Becker, Tamara B. Harris, Georg Homuth, Sungeun Kim, Lenore J. Launer, Debra A. Fleischman, Tulio Guadalupe, Joshua L. Roffman, Marie-José van Tol, Stéphanie Debette, Benno Pütz, Dick J. Veltman, Ching-Yu Cheng, Norman Delanty, Chantal Depondt, Jaap Oosterlaan, Nicola J. Armstrong, Myriam Fornage, Eric Westman, Anouk den Braber, Nanda Rommelse, Qiong Yang, Yasaman Saba, Tatiana Foroud, Susanne Erk, Saima Hilal, Paul M. Thompson, Eco J. C. de Geus, Paul A. Nyquist, Wolfgang Hoffmann, Alexander Teumer, Avram J. Holmes, Qiang Chen, Najaf Amin, Albert V. Smith, Tom V. Lee, Sarah E. Medland, Nazanin Mirza-Schreiber, Alejandro Arias-Vasquez, Grant W. Montgomery, Han G. Brunner, Meike W. Vernooij, Bernard Mazoyer, Guillén Fernández, Henry Brodaty, Claudia L. Satizabal, Thomas Wolfers, Herve Lemaitre, Li Shen, Greig I. de Zubicaray, Pauline Maillard, Hans J. Grabe, Ingrid Melle, Simone Reppermund, Charles DeCarli, Anbupalam Thalamuthu, Helena Schmidt, Peter R. Schofield, Marjolein M.J. van Donkelaar, Thomas Espeseth, Christopher Chen, Matthias Nauck, Norbert Hosten, Clyde Francks, Oliver Grimm, Tonya White, Andrew J. Saykin, Andrew M. McIntosh, Oscar L. Lopez, Philippe Amouyel, William T. Longstreth, Janita Bralten, Nhat Trung Doan, John B.J. Kwok, Charles C. White, Ralph Burkhardt, Jessika E. Sussmann, Michael W. Weiner, Markus M. Nöthen, Katie L. McMahon, Derrek P. Hibar, Dalia Kasperaviciute, Maria J. Knol, Hilleke E. Hulshoff Pol, Markus Loeffler, Bruno Vellas, Matthew J. Huentelman, Owen Carmichael, Jason L. Stein, Ryota Kanai, Lianne Schmaal, Hilkka Soininen, Bruce M. Psaty, Jan K. Buitelaar, Jean-Luc Martinot, Ian J. Deary, Venkata S. Mattay, Theo G.M. van Erp, Arno Villringer, Andrew D. Johnson, Srdjan Djurovic, Benjamin S. Aribisala, Lachlan T. Strike, Phil Lee, David C. Liewald, Tien Yin Wong, Tomas Axelsson, Jessica A. Turner, Marieke Klein, Kristel R. van Eijk, Saud Alhusaini, Konstantinos Arfanakis, M. Arfan Ikram, Stefan Ehrlich, Sebastian Mohnke, Marcel P. Zwiers, Karen A. Mather, Jonathan C Ipser, Joshua M. Shulman, Brenda W.J.H. Penninx, Reinhold Schmidt, Arthur W. Toga, Christopher R.K. Ching, René S. Kahn, Bertram Müller-Myhsok, Yuri Milaneschi, Margaret J. Wright, Martina Papmeyer, Fabrice Crivello, David A. Bennett, Randy L. Buckner, Edith Hofer, Roel A. Ophoff, Steven G. Potkin, Albert Hofman, Dennis van 't Ent, Sudheer Giddaluru, Roberto Roiz-Santiañez, Andrew J. Schork, Jouke-Jan Hottenga, Yanhui Hu, Kazima B. Bulayeva, Xueqiu Jian, Clinical Genetics, Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Neurology, Child and Adolescent Psychiatry / Psychology, Psychiatry, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), APH - Mental Health, Pediatric surgery, Epidemiology and Data Science, Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, APH - Digital Health, General Paediatrics, ARD - Amsterdam Reproduction and Development, Psychiatrie & Neuropsychologie, Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), RS: MHeNs - R2 - Mental Health, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences cognitives et intégratives d'Aquitaine (INCIA), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-SFR Bordeaux Neurosciences-Centre National de la Recherche Scientifique (CNRS), Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Stochastics, Biological Psychology, APH - Methodology, Clinical Neuropsychology, IBBA, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, and Cognitive Psychology
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Netherlands Twin Register (NTR) ,LD SCORE REGRESSION ,Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13] ,Caudate nucleus ,Genome-wide association study ,Bio-Organic Chemistry ,Language in Interaction ,neuroscience ,Cohort Studies ,BASAL GANGLIA ,0302 clinical medicine ,130 000 Cognitive Neurology & Memory ,metabolism [Drosophila melanogaster] ,Basal ganglia ,Adult ,Aged ,Animals ,Brain ,Drosophila melanogaster ,Humans ,Magnetic Resonance Imaging ,Middle Aged ,Neurodevelopmental Disorders ,Organ Size ,Genetic Variation ,Genome-Wide Association Study ,genetics [Drosophila melanogaster] ,0303 health sciences ,genetics [Neurodevelopmental Disorders] ,Putamen ,220 Statistical Imaging Neuroscience ,3. Good health ,ALZHEIMERS-DISEASE ,DROSOPHILA ,Globus pallidus ,VINTAGE ,epidemiology ,Synaptic signaling ,Neuroinformatics ,EXPRESSION ,Nucleus accumbens ,Biology ,150 000 MR Techniques in Brain Function ,Article ,03 medical and health sciences ,All institutes and research themes of the Radboud University Medical Center ,SDG 3 - Good Health and Well-being ,ddc:570 ,PLASMA-PROTEIN ,pathology [Neurodevelopmental Disorders] ,Genetics ,GENOME-WIDE ASSOCIATION ,HEALTHY ,METAANALYSIS ,030304 developmental biology ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,RISK LOCI ,Genetic architecture ,ALKALINE-PHOSPHATASE ,nervous system ,metabolism [Brain] ,genome-wide association studies ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,growth & development [Drosophila melanogaster] ,anatomy & histology [Brain] ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Aims/hypothesis MODY can be wrongly diagnosed as type 1 diabetes in children. We aimed to find the prevalence of MODY in a nationwide population-based registry of childhood diabetes. Methods Using next-generation sequencing, we screened the HNF1A, HNF4A, HNF1B, GCK and INS genes in all 469 children (12.1%) negative for both GAD and IA-2 autoantibodies and 469 antibody-positive matched controls selected from the Norwegian Childhood Diabetes Registry (3882 children). Variants were classified using clinical diagnostic criteria for pathogenicity ranging from class 1 (neutral) to class 5 (pathogenic). Results We identified 58 rare exonic and splice variants in cases and controls. Among antibody-negative patients, 6.5% had genetic variants of classes 3–5 (vs 2.4% in controls; p = 0.002). For the stricter classification (classes 4 and 5), the corresponding number was 4.1% (vs 0.2% in controls; p = 1.6 × 10−5). HNF1A showed the strongest enrichment of class 3–5 variants, with 3.9% among antibody-negative patients (vs 0.4% in controls; p = 0.0002). Antibody-negative carriers of variants in class 3 had a similar phenotype to those carrying variants in classes 4 and 5. Conclusions/interpretation This is the first study screening for MODY in all antibody-negative children in a nationwide population-based registry. Our results suggest that the prevalence of MODY in antibody-negative childhood diabetes may reach 6.5%. One-third of these MODY cases had not been recognised by clinicians. Since a precise diagnosis is important for treatment and genetic counselling, molecular screening of all antibody-negative children should be considered in routine diagnostics.
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- 2019
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28. Novel genetic loci associated with hippocampal volume
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Benjamin S. Aribisala, Marjolein M.J. van Donkelaar, Randy L. Gollub, Rachel M. Brouwer, Norman Delanty, Tomas Axelsson, Oscar L. Lopez, Thomas Espeseth, Alejandro Arias-Vasquez, Kristel R. van Eijk, Tien Yin Wong, Jeroen van der Grond, Georg Homuth, James T. Becker, Sebastian Guelfi, Anton J. M. de Craen, Bruno Vellas, Christopher R.K. Ching, Charles C. DeCarli, Janita Bralten, Lars T. Westlye, Ryota Hashimoto, Sampath Arepalli, Bertram Müller-Myhsok, Loes M. Olde Loohuis, Sudha Seshadri, Simon E. Fisher, K Hegenscheid, Konstantinos Arfanakis, Zdenka Pausova, Robert C. Green, Simone Reppermund, Katie L. McMahon, Ashley Beecham, Daan van Rooij, Marcel P. Zwiers, Karen A. Mather, Randy L. Buckner, Edith Hofer, Marcella Rietschel, Fabrice Crivello, Ronald H. Zielke, G. Bruce Pike, Thomas W. Mühleisen, Myriam Fornage, Kazutaka Ohi, Gareth E. Davies, Chantal Depondt, Gabriel Cuellar-Partida, Iryna O. Fedko, Peter R. Schofield, Steven G. Potkin, Albert Hofman, Paul M. Thompson, Wiro J. Niessen, Deborah Janowitz, Nicholas G. Martin, Li Shen, Mina Ryten, Meike W. Vernooij, Michael E. Weale, Tonya White, Dennis van 't Ent, Sudheer Giddaluru, Nanda Rommelse, Wei Wen, Sven J. van der Lee, Eco J. C. de Geus, Aaron Goldman, Joanne E. Curran, Qiang Chen, Jean Shin, Wayne C. Drevets, Thomas H. Mosley, Matthias Nauck, Massimo Pandolfo, Anders M. Dale, Paul A. Nyquist, Girma Woldehawariat, Francis J. McMahon, Najaf Amin, Emma J. Rose, Norbert Hosten, David J. Stott, Sigurdur Sigursson, Andrew J. Saykin, M. Kamran Ikram, Pieter J. Hoekstra, Neda Jahanshad, Grant W. Montgomery, Michael Weiner, Aad van der Lugt, Esther Walton, Gunter Schumann, Clyde Francks, Narelle K. Hansell, Xinmin Liu, Herve Lemaitre, Cornelia M. van Duijn, Ralph L. Sacco, Clinton B. Wright, Arvin Saremi, Clifford R. Jack, Andre G. Uitterlinden, G. Donohoe, Tomáš Paus, Michael Griswold, Peter T. Fox, Alan B. Zonderman, Lukas Pirpamer, Christiane Wolf, Aiden Corvin, Shannon L. Risacher, Ian Ford, Philippe Amouyel, Henrik Walter, Beng-Choon Ho, William T. Longstreth, M. Arfan Ikram, Hieab H.H. Adams, Colin Smith, Sungeun Kim, Simon Lovestone, Stefan Ehrlich, Benno Pütz, Markus M. Nöthen, Susana Muñoz Maniega, Ian J. Deary, Elena Shumskaya, Susan H. Blanton, Jerome I. Rotter, Neeltje E.M. van Haren, Mar Matarin, I. Kloszewska, Ganesh Chauhan, Anita L. DeStefano, Barbara Franke, Lars Nyberg, Tatiana Foroud, Tianye Jia, Manon Bernard, Unn K. Haukvik, Rebecca F. Gottesman, Srdjan Djurovic, Ching-Yu Cheng, Lachlan T. Strike, Alex P. Zijdenbos, Jouke-Jan Hottenga, Vince D. Calhoun, Yuri Milaneschi, David C. Glahn, Phil Lee, Amelia A. Assareh, Adaikalavan Ramasamy, Emma Sprooten, Debra A. Fleischman, David R. McKay, J. Raphael Gibbs, Bruce M. Psaty, Kazima B. Bulayeva, Bryan J. Traynor, Vilmundur Gudnason, Jessika E. Sussmann, Alexander Teumer, Guillén Fernández, Katharina Wittfeld, Christophe Tzourio, Dennis van der Meer, Wolfgang Hoffmann, Sebastian Mohnke, David C. Liewald, Jordan W. Smoller, Theo G.M. van Erp, Marcel Van Der Brug, Dara M. Cannon, Lenore J. Launer, D. Ames, Juan C. Troncoso, Brenda W.J.H. Penninx, Dhananjay Vaidya, Thomas D. Dyer, Marie-José van Tol, Han G. Brunner, Andrew Singleton, Lavinia Athanasiu, Adam M. Brickman, Eric Westman, P. Mecocci, Sandra Barral, Dick J. Veltman, Catharina A. Hartman, Benedicto Crespo-Facorro, Alexa S. Beiser, Vincent Chouraki, Nhat Trung Doan, Marieke Klein, Jaap Oosterlaan, Natalie A. Royle, John B.J. Kwok, Saud Alhusaini, Ingrid Melle, Roberto Toro, Ravi Duggirala, Allissa Dillman, Reinhold Schmidt, Lisa R. Yanek, Anbupalam Thalamuthu, Helena Schmidt, Derrek P. Hibar, Albert V. Smith, Jean-Luc Martinot, Thomas H. Wassink, Jennifer S. Richards, Oliver Martinez, Joshua L. Roffman, Sylvane Desrivières, Hilkka Soininen, Rene L. Olvera, Ole A. Andreassen, Diana Tordesillas-Gutiérrez, Claudia L. Satizabal, Owen Carmichael, Lianne Schmaal, Bernd Kraemer, Martine Hoogman, Daniah Trabzuni, Oliver Grimm, Andrew M. McIntosh, René S. Kahn, Nazanin Karbalai, Margaret J. Wright, Harald H.H. Göring, Martina Papmeyer, Roberto Roiz-Santiañez, Luigi Ferrucci, David A. Bennett, Kwangsik Nho, Gianpiero L. Cavalleri, Andreas Meyer-Lindenberg, Masashi Ikeda, Avram J. Holmes, Greig I. de Zubicaray, Andreas Heinz, Tatjana Rundek, Maria del C. Valdés Hernández, Dalia Kasperaviciute, Dan L. Longo, Matthew J. Huentelman, Wiepke Cahn, Beverly G. Windham, Michael A. Nalls, Philipp G. Sämann, Stella Trompet, Vidar M. Steen, Marc M. Bohlken, Christopher D. Whelan, Hilleke E. Hulshoff Pol, Susanne Erk, Dorret I. Boomsma, Dirk J. Heslenfeld, Masaki Fukunaga, D. Hoehn, Stephen M. Lawrie, Mark E. Bastin, Marco P. Boks, M. Mallar Chakravarty, M. R. Cookson, C. McDonald, Magda Tsolaki, Badri N. Vardarajan, Jason L. Stein, Jan K. Buitelaar, Erik G. Jönsson, Oliver Gruber, Robert Johnson, Jingyun Yang, Joshua C. Bis, J. Wouter Jukema, Tulio Guadalupe, Nina Romanczuk-Seiferth, Kjetil Nordbø Jørgensen, Henry Brodaty, Diane M. Becker, Anouk den Braber, Allison C. Nugent, Thomas Wolfers, John Hardy, Joanna M. Wardlaw, Michelle Luciano, Christine Macare, Dena G. Hernandez, D. Morris, John Blangero, Andrew J. Schork, Daniel R. Weinberger, Johanna Hass, Andrew Simmons, Micael Andersson, Lucija Abramovic, David S. Knopman, Mark Jenkinson, Roel A. Ophoff, Sanjay M. Sisodiya, Boris A. Gutman, Asta Håberg, Stephanie Le Hellard, Stéphanie Debette, Nicola J. Armstrong, Sarah E. Medland, Hans J. Grabe, Henry Völzke, Thomas E. Nichols, Manuel Mattheisen, Sven Cichon, Venkata S. Mattay, Ingrid Agartz, Stefan Ropele, Lorna M. Lopez, Hans van Bokhoven, Philip L. De Jager, Miguel E. Rentería, Laura Almasy, Arthur W. Toga, Michael Czisch, Florian Holsboer, Ryota Kanai, Nic J.A. van der Wee, Peter Kochunov, Perminder S. Sachdev, Andre F. Marquand, Christian Enzinger, Anderson M. Winkler, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, Metacohorts Consortium, Institut Gilbert-Laustriat : Biomolécules, Biotechnologie, Innovation Thérapeutique, Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), INSERM Research Center for Epidemiology and Biostatistics (U897) Team Neuroepidemiology, Bordeaux, France College of Health Sciences, University of Bordeaux, Bordeaux, France, sans affiliation, QIMR Berghofer Medical Research Institute, University of Washington [Seattle], Department of Psychiatry, Donders Centre for Neuroscience, Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen], Department of Human Genetics, Radboud University Medical Center [Nijmegen], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, University Medical Center [Utrecht], Department of Neurology and Neurosurgery [Montreal], Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland (RCSI), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Sahlgrenska University Hospital [Gothenburg], Department of Biomedical Engineering, Illinois Institute of Technology (IIT), Rush University Medical Center [Chicago], University of Edinburgh, Lagos State University (LASU), Assistance Publique - Hôpitaux de Marseille (APHM), University of Oslo (UiO), Department of medical sciences, Uppsala University-Molecular Medicine-Science for Life Laboratory, John P. Hussman Institute for Human Genomics, University of Miami Leonard M. Miller School of Medicine (UMMSM), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Neurology Department, University of California, Davis (UCDavis-Neuro), University of California [Davis] (UC Davis), Douglas Mental Health University Institute, McGill University = Université McGill [Montréal, Canada], Université Lille Nord de France (COMUE), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Groupe d'imagerie neurofonctionnelle (GIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Haukeland University Hospital, University of Bergen (UiB), Ames Laboratory [Ames, USA], Iowa State University (ISU)-U.S. Department of Energy [Washington] (DOE), Johns Hopkins University School of Medicine [Baltimore], Language and Genetics Department [Nijmegen], Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, International Max Planck Research School for Language Sciences (IMPRS ), Laboratory of Neuro Imaging [Los Angeles] (LONI), Department of Mathematics [UCLA], Georgia Institute of Technology [Atlanta], Medizinische Klinik, Universitätsklinikum Heidelberg, Heidelberg, Germany, Greifswald University Hospital, Beijing Normal University (BNU), Aalborg University [Denmark] (AAU), UCL Institute of Neurology and Epilepsy Society, Department of Medicine, Imperial College London, Service d'Endocrinologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen 37075, Germany, Medstar Research Institute, Clinical And Experimental Epilepsy, Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia, Department of Genomics, Life and Brain Center, University of Bonn, Institute of Human Genetics, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], VU University Medical Center [Amsterdam], Indiana University School of Medicine, Indiana University System, Indiana Alzheimer Disease Center, Indiana University System-Indiana University System, Institute of Food & Health, University College Dublin, University College Dublin [Dublin] (UCD), Department of Neurology, Statistical Genetics Group, Respiratory Epidemiology and Public Health, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-MRC-HPA Centre for Environment and Health, Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Karakter Child and Adolescent Psychiatry University Centre [Nijmegen], Department of Neurology [Austria], Medical University Graz, Institut Parisien de Chimie Moléculaire (IPCM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, INSERM, Neuroepidemiology U708, Bordeaux, France, Department of Neurosciences [San Diego], University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [San Diego], Wuhan University [China], Plymouth University, Dpt of Psychiatry [New Haven], Yale University School of Medicine, Queensland Institute of Medical Research, School of Psychology, University of Queensland, Brisbane 4072, Australia, University of Queensland [Brisbane], Centre for Advanced Imaging, University of Queensland, Brisbane 4072, Australia, Gènes, Synapses et Cognition (CNRS - UMR3571 ), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL, Institute of Neurology [London], Department of Genetics, King Faisal Specialist Hospital and Research Centre, Depts of Radiology, Leiden University Medical Center (LUMC), University of Twente [Netherlands], Department of Psychiatry and Human Behavior [Irvine], University of California [Irvine] (UCI), RCMG Ghent, Universiteit Gent = Ghent University [Belgium] (UGENT), Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Psychology [Oslo], Faculty of Social Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), National Institutes of Health [Bethesda] (NIH), Biospective [Montréal], KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Southwest Foundation for Biomedical Research, Department of Psychiatry and National Ageing Research Institute, University of Melbourne, Université de Lille, Department of Clinical Genetics, Department of Experimental Physics, National University of Ireland Maynooth (Maynooth University), Texas Biomedical Research Institute [San Antonio, TX], The University of Texas Health Science Center at Houston (UTHealth), 849 Department of Human Genetics, Centre for Healthy Brain Ageing, University of New South Wales [Sydney] (UNSW), Dementia Collaborative Research Centre, Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands, Department of Psychiatry [Boston], Massachusetts General Hospital [Boston], N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Electrical and Computer Engineering [Albuquerque] (ECE Department), The University of New Mexico [Albuquerque], The Mind Research Network, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Division of Molecular and Cellular Therapeutics, Northwestern Polytechnical University [Xi'an] (NPU), Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Division of Medical Genetics, University of Basel (Unibas), Cell Biology and Gene Expression Section, National Institute of Health, Bethesda, Trinity College Dublin-St. James's Hospital, Neuropsychiatric Genetics Research Group, Trinity College Dublin, Bijvoet Center of Biomolecular Research [Utrecht], Utrecht University [Utrecht], York Structural Biology Laboratory, Department of Chemistry, University of York [York, UK], Harvard Medical School [Boston] (HMS), Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], School of Psychology, University of Queensland, Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neurology Division, Beaumont Hospital, Dublin 9, Ireland, Beaumont Hospital, Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Laboratory of Neurogenetics, Department of Genomics, Biological Psychology, Neuroscience Campus Amsterdam & EMGO Institute for Health and Care Research, VU University & VU Medical Center, Amsterdam 1081 BT, The Netherlands, Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), École des hautes études en sciences sociales (EHESS), Department of Radiology, Mayo Clinic, Robertson Centre for Biostatistics, University of Glasgow, Human Genetics Center, Department of Medical and Molecular Genetics, Rensselaer Polytechnic Institute (RPI), Department of Physics, Okayama University, Okayama University, University of New Haven [Connecticut], Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Public Health Genomics Unit, Department of Mathematics, University of Colorado, University of Colorado [Boulder], Faculty of Medicine, University of Iceland [Reykjavik], Icelandic Heart Association, Kopavogur, Iceland., University of Science, VNU-HCM, University Medical Center Groningen [Groningen] (UMCG), Neuronal Plasticity / Mouse Behaviour, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Department of Medical Genetics, HMNC Brain Health, University of Oxford [Oxford], University of Florida [Gainesville] (UF), Göteborgs Universitet (GU), Department of Medicine, Clinical Pharmacology Unit, Karolinska University Hospital [Stockholm], Brain Centre Rudolf Magnus [Utrecht], School of Psychology, University of Sussex, Brighton BN1 9QH, UK, University of Sussex, Institute of Cognitive Neuroscience, University College of London [London] (UCL), Medical University of Łódź (MUL), Mayo Clinic [Rochester], University of Maryland School of Medicine, University of Maryland System-University of Maryland System-University of Maryland [Baltimore County] (UMBC), University of Maryland System, School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Université de Cergy Pontoise (UCP), Université Paris-Seine, Lymphocyte Cell Biology Unit, Laboratory of Genetics, Psychiatry Institute, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Department of Health and Human Services, Department of Life Sciences, Mathematical Sciences Institute (MSI), Australian National University (ANU), Centre for Advanced Imaging, Institute of Gerontology and Geriatrics, Università degli Studi di Perugia (UNIPG), Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], Medical Faculty [Mannheim], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Genetic Epidemiology Unit, University of Mississippi Medical Center (UMMC), Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Institute of Clinical Chemistry and Laboratory Medicine, Department of Statistics [Coventry], University of Warwick [Coventry], Delft University of Technology (TU Delft), Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Health Science, Division of Health and Rehabilitation, Luleå University of Technology (LUT), Osaka University [Osaka], University Medical Center [Utrecht]-Brain Center Rudolf Magnus, University of Nottingham, UK (UON), McConnell Brain Imaging Centre (MNI), Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada, Psychiatry and Human Behavior, University of California, Irvine, California 92617, USA, Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Cedars-Sinai Medical Center, Politecnico di Milano [Milan] (POLIMI), University of Applied Sciences [Munich], Dpt of Pharmacology and Personalised Medicine [Maastricht], Maastricht University [Maastricht], Genetics of Mental Illness and Brain Function, Neuroscience Research Australia, Department of neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, Department of neurology, University of Eastern Finland-University Hospital of Kuopio-University of Eastern Finland-University Hospital of Kuopio, Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney 2052, Australia, National Institute of Aging, 3rd Department of Neurology, Aristotle University of Thessaloniki-General Hospital of Thessaloniki George Papanikolaou, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université Bordeaux Segalen - Bordeaux 2, Genentech, Inc. [San Francisco], Psychiatry and Leiden Institute for Brain and Cognition, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Community Medicine, Berlin School of Mind and Brain [Berlin], Humboldt-Universität zu Berlin, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Centre for Population Health Sciences, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet [Stockholm], University of Pretoria [South Africa], University of Missouri [Columbia] (Mizzou), University of Missouri System, Department of Psychiatry and Psychotherapy, HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud university [Nijmegen]-Radboud university [Nijmegen], University of Southern California (USC), University of California (UC)-University of California (UC), Sans affiliation, Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen], University of Toronto, Radboud University [Nijmegen], Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Universität Bonn = University of Bonn, Department of Neurosciences [Univ California San Diego] (Neuro - UC San Diego), School of Medicine [Univ California San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [Univ California San Diego] (CogSci - UC San Diego), Yale School of Medicine [New Haven, Connecticut] (YSM), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), King Faisal Specialist Hospital and Research Centre (KFSH & RC), Universiteit Leiden-Universiteit Leiden, University of Twente, University of California [Irvine] (UC Irvine), Universiteit Gent = Ghent University (UGENT), Centre épigénétique et destin cellulaire (EDC), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], University of Oxford, University of Maryland [Baltimore County] (UMBC), University of Maryland System-University of Maryland System-University of Maryland School of Medicine, Università degli Studi di Perugia = University of Perugia (UNIPG), University Hospital Mannheim | Universitätsmedizin Mannheim, Universität Leipzig-Universität Leipzig, University Hospital Mannheim | Universitätsmedizin Mannheim-University Hospital Mannheim | Universitätsmedizin Mannheim, University of Eastern Finland, Universiteit Leiden, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Humboldt University Of Berlin, Radboud University [Nijmegen]-Radboud University [Nijmegen], School of Medicine / Clinical Medicine, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Other departments, Adult Psychiatry, ARD - Amsterdam Reproduction and Development, Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen], McGill University-McGill University, Sahlgrenska University Hospital, McGill University, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement (Inserm U1167 - RID-AGE - Institut Pasteur), University of Bergen (UIB), Iowa State University (ISU)-U.S. Department of Energy (DOE), Beijing Normal University, Karakter Child and Adolescent Psychiatry University Center Nijmegen, Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Gènes, Synapses et Cognition, Ghent University [Belgium] (UGENT), National University of Ireland Maynooth (NUIM), Texas Biomedical Research Institute [San Antonio, Texas], Bijvoet Center of Biomolecular Research, Université Libre de Bruxelles [Bruxelles] (ULB)-Hôpital Erasme (Bruxelles), Okayama University [Okayama], University of Florida [Gainesville], Institut National de la Recherche Agronomique (INRA)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Aristotle University of Thessaloniki-G. Papanikolaou Hospital, Humboldt Universität zu Berlin, University of Missouri [Columbia], Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Internal Medicine, Neurology, Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, Cognitive Psychology, IBBA, APH - Personalized Medicine, Amsterdam Neuroscience - Brain Imaging, MUMC+: DA Klinische Genetica (5), Klinische Genetica, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Anatomy and neurosciences, APH - Digital Health, Hal, GIN, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Universidad de Cantabria, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
- Subjects
Male ,Netherlands Twin Register (NTR) ,Genome-wide association study ,600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit ,Spatial memory ,0302 clinical medicine ,610 Medicine & health ,Child ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,Episodic memory ,Aged, 80 and over ,Subiculum ,220 Statistical Imaging Neuroscience ,COMMON VARIANTS ,ALZHEIMERS-DISEASE ,ddc:500 ,Alzheimer's disease ,genetics [Methionine Sulfoxide Reductases] ,Science ,Locus (genetics) ,genetics [Protein-Serine-Threonine Kinases] ,Article ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,Alzheimer Disease ,ASTN2 protein, human ,Humans ,GENOME-WIDE ASSOCIATION ,METAANALYSIS ,Aged ,Glycoproteins ,Dentate gyrus ,MEMORY ,medicine.disease ,R1 ,030104 developmental biology ,nervous system ,Genetic Loci ,MSRB3 protein, human ,030217 neurology & neurosurgery ,0301 basic medicine ,General Physics and Astronomy ,genetics [Alzheimer Disease] ,Hippocampal formation ,Hippocampus ,Genome-wide association studies ,Taugasjúkdómar ,Cohort Studies ,DPP4 protein, human ,TEMPORAL-LOBE EPILEPSY ,BRAIN-REGIONS ,genetics [Dipeptidyl Peptidase 4] ,genetics [Nerve Tissue Proteins] ,Genetics ,Multidisciplinary ,Neurodegenerative diseases ,BIPOLAR DISORDER ,Organ Size ,Middle Aged ,SUBFIELDS ,Protein-Serine-Threonine Kinases ,growth & development [Hippocampus] ,Female ,genetics [Glycoproteins] ,Microtubule-Associated Proteins ,Medical Genetics ,Neuroinformatics ,Adult ,genetics [Microtubule-Associated Proteins] ,Adolescent ,SUSCEPTIBILITY LOCI ,Dipeptidyl Peptidase 4 ,genetics [Protein Serine-Threonine Kinases] ,Nerve Tissue Proteins ,Bioinformatik och systembiologi ,Protein Serine-Threonine Kinases ,Biology ,physiopathology [Alzheimer Disease] ,150 000 MR Techniques in Brain Function ,Young Adult ,MAST4 protein, human ,medicine ,Journal Article ,Erfðafræði ,Genetic Predisposition to Disease ,ddc:610 ,Medicinsk genetik ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Bioinformatics and Systems Biology ,[SCCO.NEUR]Cognitive science/Neuroscience ,[SCCO.NEUR] Cognitive science/Neuroscience ,Rannsóknir ,General Chemistry ,Methionine Sulfoxide Reductases ,150 Psychology ,Genome-Wide Association Study - Abstract
The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness., published version, peerReviewed
- Published
- 2017
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29. Novel genetic loci underlying human intracranial volume identified through genome-wide association
- Author
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G. Bruce Pike, Marcel P. Zwiers, Andreas Meyer-Lindenberg, Jeroen van der Grond, Randy L. Gollub, Karen A. Mather, Andrew J. Schork, Vidar M. Steen, Marc M. Bohlken, Nhat Trung Doan, Derek W. Morris, John B.J. Kwok, Emma J. Rose, Johanna Hass, Andrew Simmons, Tian Ge, Reinhold Schmidt, Micael Andersson, Ian J. Deary, Christopher Chen, Derrek P. Hibar, Simon E. Fisher, Lucija Abramovic, Marcella Rietschel, Edith Hofer, Simon Lovestone, Clyde Francks, Christopher R.K. Ching, Srdjan Djurovic, Lachlan T. Strike, Lorna M. Lopez, Rene L. Olvera, Owen Carmichael, M. Arfan Ikram, Andre F. Marquand, Christine Macare, W.T. Longstreth, Philippe Amouyel, Aaron L. Goldman, Wolfgang Hoffmann, Philip L. De Jager, David C. Liewald, Harald H H Göring, Aad van der Lugt, David Ames, Neeltje E.M. van Haren, Lars Nyberg, Nina Romanczuk-Seiferth, Lukas Pirpamer, Stefan Ehrlich, Alexa S. Beiser, Lianne Schmaal, Hilkka Soininen, Mark Jenkinson, Kazima B. Bulayeva, Anderson M. Winkler, Mike A. Nalls, Diana Tordesillas-Gutiérrez, Martine Hoogman, Lars T. Westlye, Loes M. Olde Loohuis, Andrew Singleton, Gabriel Cuellar-Partida, Randy L. Buckner, Dorret I. Boomsma, Dena G. Hernandez, Steven G. Potkin, Sudha Seshadri, Bertram Müller-Myhsok, D. Hoehn, Gareth E. Davies, Chantal Depondt, Henrik Walter, Michael E. Weale, Deborah Janowitz, Susanne Erk, Iryna O. Fedko, Daniel R. Weinberger, Nic J A van der Wee, Jean-Luc Martinot, Jessica A. Turner, Marieke Klein, Sandra Barral, Sebastian Mohnke, Albert Hofman, Ingrid Melle, Saud Alhusaini, Vincent Chouraki, Stephen M. Lawrie, Mark E. Bastin, Juan C. Troncoso, Jean Shin, Wiro J. Niessen, Diane M. Becker, Laura Almasy, Anders M. Dale, Benjamin S. Aribisala, Dennis van 't Ent, Marco P. Boks, M. Mallar Chakravarty, Paul M. Thompson, David Reese McKay, Michael Griswold, John Blangero, Narelle K. Hansell, Eco J. C. de Geus, Paul A. Nyquist, Susana Muñoz Maniega, Sampath Arepalli, Tatjana Rundek, Dan L. Longo, Anton J. M. de Craen, Rebekah McWhirter, Nazanin Mirza-Schreiber, Henning Tiemeier, Girma Woldehawariat, Sven Cichon, Irene Pappa, Amelia A. Assareh, Sudheer Giddaluru, Pieter J. Hoekstra, Hieab H.H. Adams, Hilleke E. Hulshoff Pol, Grant W. Montgomery, Roel A. Ophoff, Markus M. Nöthen, Sara Pudas, Sigurdur Sigurdsson, Arthur W. Toga, Tien Yin Wong, Massimo Pandolfo, Corina U. Greven, Esther Walton, Tianye Jia, David J. Stott, Gunter Schumann, Marie-José van Tol, Dalia Kasperaviciute, Thomas Wolfers, Henry Völzke, Ian Ford, Shannon L. Risacher, Jessika E. Sussmann, Nicholas G. Martin, Wei Wen, Daniah Trabzuni, Iwona Kłoszewska, Kwangsik Nho, Gianpiero L. Cavalleri, Adam M. Brickman, Sungeun Kim, Andreas Heinz, Ralph L. Sacco, Neda Jahanshad, Velandai Srikanth, Elena Shumskaya, Susan H. Blanton, Katharina Wittfeld, Badri N. Vardarajan, Joshua C. Bis, Joanne E. Curran, Helena Schmidt, Peter T. Fox, Clifford R. Jack, Jason L. Stein, Laura M. E. Blanken, Thomas Espeseth, Dick J. Veltman, Sebastian Guelfi, Margaret J. Wright, Norman Delanty, Michael Czisch, Martina Papmeyer, Oscar L. Lopez, Marjolein M. J. Van Donkelaar, Bruce M. Psaty, Jan K. Buitelaar, Sven J. van der Lee, David A. Bennett, Beng-Choon Ho, Oliver Martinez, Wiepke Cahn, Li Shen, J. Wouter Jukema, Janita Bralten, Peter Kochunov, Greig I. Zubicaray, Marcel P. van der Brug, Ching-Yu Cheng, Philipp G. Sämann, Stella Trompet, Roberto Roiz-Santiañez, David C. Glahn, Allissa Dillman, Venkata S. Mattay, Dara M. Cannon, Michael W. Weiner, Christopher D. Whelan, Alexander Teumer, Sylvane Desrivières, Ole A. Andreassen, Thomas E. Nichols, Manuel Mattheisen, Matthias Nauck, René S. Kahn, Albert V. Smith, Colin Smith, Vilmundur Gudnason, Denis A. Evans, Anouk den Braber, Katie L. McMahon, Han G. Brunner, Florian Holsboer, Yuri Milaneschi, Andrew J. Saykin, Jiemin Liao, Vince D. Calhoun, Neelum T. Aggarwal, Dennis van der Meer, Hans J. Grabe, Anita L. DeStefano, Claudia L. Satizabal, Alan B. Zonderman, Alex P. Zijdenbos, Tulio Guadalupe, Ingrid Agartz, Jordan W. Smoller, Allison C. Nugent, Alejandro Arias-Vasquez, Masashi Ikeda, Avram J. Holmes, Brenda W.J.H. Penninx, John Hardy, Herve Lemaitre, Charles DeCarli, Patrizia Mecocci, Catharina A. Hartman, Tomas Axelsson, Oliver Grimm, Irina Filippi, Wayne C. Drevets, Hans van Bokhoven, Miguel E. Rentería, Aiden Corvin, Ryota Kanai, Kristel R. van Eijk, Andrew M. McIntosh, Jouke-Jan Hottenga, Roberto Toro, Lavinia Athanasiu, Joanna M. Wardlaw, Thomas H. Mosley, Mina Ryten, Meike W. Vernooij, Michelle Luciano, Joshua L. Roffman, Rebecca F. Gottesman, Dhananjay Vaidya, Ryota Hashimoto, Mar Matarin, Adaikalavan Ramasamy, Jerome I. Rotter, Ryan L. Muetzel, Konstantinos Arfanakis, Theo G.M. van Erp, Ganesh Chauhan, Xinmin Liu, Tomáš Paus, Emma Sprooten, Christiane Wolf, David S. Knopman, Manon Bernard, Zdenka Pausova, Bryan J. Traynor, Maria C. Valdés Hernández, Robert C. Green, Russell Thomson, Ravi Duggirala, Lisa R. Yanek, Luigi Ferrucci, Bing Xu, Thomas D. Dyer, Thomas H. Wassink, Eric Westman, Jennifer S. Richards, Phil H. Lee, Benno Pütz, Mark R. Cookson, Benedicto Crespo-Facorro, Natalie A. Royle, Bernd Kraemer, Katrin Hegenscheid, Francis J. McMahon, Tatiana Foroud, M. Kamran Ikram, Myriam Fornage, Nanda Rommelse, Saima Hilal, Perminder S. Sachdev, Qiang Chen, Najaf Amin, Lenore J. Launer, Norbert Hosten, Guillén Fernández, Simone Reppermund, Ashley Beecham, Dirk J. Heslenfeld, Masaki Fukunaga, Cornelia M. van Duijn, Clinton B. Wright, Erik G. Jönsson, Sanjay M. Sisodiya, Oliver Gruber, Christophe Tzourio, André G. Uitterlinden, Robert Johnson, Jaap Oosterlaan, Bernard Mazoyer, H. Ronald Zielke, Stephanie Le Hellard, Jingyun Yang, Georg Homuth, Stéphanie Debette, Nicola J. Armstrong, Sarah E. Medland, Henry Brodaty, Beverly G Windham, Gary Donohoe, Rachel M. Brouwer, James T. Becker, Kumar B. Rajan, Daan van Rooij, Thomas W. Mühleisen, Kazutaka Ohi, Peter R. Schofield, Tonya White, Barbara Franke, Unn K. Haukvik, Debra A. Fleischman, J. Raphael Gibbs, Colm McDonald, Anbupalam Thalamuthu, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Keck School of Medicine [Los Angeles], University of Southern California (USC), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Johns Hopkins University (JHU), QIMR Berghofer Medical Research Institute, Leiden University Medical Center (LUMC), Radboud University Medical Center [Nijmegen], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, University of Miami Leonard M. Miller School of Medicine (UMMSM), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Greifswald University Hospital, Department of Neurology and Neurosurgery [Montreal], Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Royal College of Surgeons in Ireland (RCSI), Umeå University, Illinois Institute of Technology (IIT), Rush University Medical Center [Chicago], University of Edinburgh, Lagos State University (LASU), University of New South Wales [Sydney] (UNSW), Murdoch University, University of Oslo (UiO), Uppsala University, Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), University of Toronto, University of Washington [Seattle], Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Columbia University Medical Center (CUMC), Columbia University [New York], Pennington Biomedical Research Center, Louisiana State University (LSU), McGill University = Université McGill [Montréal, Canada], Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Lieber Institute for Brain Development [Baltimore] (LIBD), University of California [Los Angeles] (UCLA), University of California, Vrije Universiteit Amsterdam [Amsterdam] (VU), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Massachusetts General Hospital [Boston], Neuroimagerie en psychiatrie (U1000), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Sud - Paris 11 (UP11), Maison de Solenn [CHU Cochin], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of Bergen (UiB), Haukeland University Hospital, Johns Hopkins University School of Medicine [Baltimore], Universität Heidelberg [Heidelberg], University of Mississippi Medical Center (UMMC), International Max Planck Research School for Language Sciences (IMPRS ), Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Language and Genetics Department [Nijmegen], National University of Singapore (NUS), Medical University Graz, Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Yale University [New Haven], University College of London [London] (UCL), Imperial College London, Structure et Réactivité des Systèmes Moléculaires Complexes (SRSMC), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen 37075, Germany, Medstar Research Institute, Clinical And Experimental Epilepsy, Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], Institute of Human Genetics, University of Bonn, Department of Genomics, Life and Brain Center, Groupe d'imagerie neurofonctionnelle (GIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Dpt of Psychiatry [New Haven], Yale University School of Medicine, Department of Psychiatry, VU University Medical Center [Amsterdam], Department of Psychology [Minneapolis], University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indiana University System-Indiana University System, Indiana University System, Institute of Food & Health, University College Dublin, University College Dublin [Dublin] (UCD), Statistical Genetics Group, Respiratory Epidemiology and Public Health, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-MRC-HPA Centre for Environment and Health, Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Karakter Child and Adolescent Psychiatry University Centre [Nijmegen], Institut Parisien de Chimie Moléculaire (IPCM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), INSERM, Neuroepidemiology U708, Bordeaux, France, Department of Cognitive Sciences [San Diego], University of California [San Diego] (UC San Diego), University of California-University of California, Department of Neurosciences [San Diego], Centre for Advanced Imaging, University of Queensland, Brisbane 4072, Australia, School of Psychology, University of Queensland, Brisbane 4072, Australia, University of Queensland [Brisbane], Queensland Institute of Medical Research, Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Genetics, King Faisal Specialist Hospital and Research Centre, Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL, Institute of Neurology [London], Depts of Radiology, University of Twente [Netherlands], Department of Psychiatry and Human Behavior [Irvine], University of California [Irvine] (UCI), Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud university [Nijmegen]-Radboud university [Nijmegen], Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Department of Psychology [Oslo], Faculty of Social Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Deutsche Bundesbank, National Institutes of Health [Bethesda] (NIH), General Internal Medicine, Johns Hopkins School of Medicine, Biospective [Montréal], KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Southwest Foundation for Biomedical Research, Department of Psychiatry and National Ageing Research Institute, University of Melbourne, Department of Clinical Genetics, Department of Medical Parasitology and Mycology, School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-Tehran University of Medical Siences, Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Departments of Psychiatry, Neurology, and Psychology, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), The University of Texas Health Science Center at Houston (UTHealth), Texas Biomedical Research Institute [San Antonio, TX], 849 Department of Human Genetics, Dementia Collaborative Research Centre, Centre for Healthy Brain Ageing, Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands, Université de Lausanne (UNIL), Department of Psychiatry [Boston], N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia, Icahn School of Medicine at Mount Sinai [New York] (MSSM), The Mind Research Network, Department of Electrical and Computer Engineering [Albuquerque] (ECE Department), The University of New Mexico [Albuquerque], Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Division of Molecular and Cellular Therapeutics, Metacohorts Consortium, Division of Medical Genetics, University of Basel (Unibas), Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Cell Biology and Gene Expression Section, National Institute of Health, Bethesda, Neuropsychiatric Genetics Research Group, Trinity College Dublin, Trinity College Dublin-St. James's Hospital, Department of Materials Science & Metallurgy, University of Cambridge [UK] (CAM), Bijvoet Center of Biomolecular Research [Utrecht], Utrecht University [Utrecht], VU University Amsterdam, Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), School of Psychology, University of Queensland, Neurology Division, Beaumont Hospital, Dublin 9, Ireland, Beaumont Hospital, Molecular and Cellular Therapeutics, Department of Neurology, Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Laboratory of Neurogenetics, Department of Genomics, Biological Psychology, Neuroscience Campus Amsterdam & EMGO Institute for Health and Care Research, VU University & VU Medical Center, Amsterdam 1081 BT, The Netherlands, Department of Radiology, Mayo Clinic, Department of Medical and Molecular Genetics, South Texas Veterans Health Care System, San Antonio, Texas 78229, USA, Department of Physics, Okayama University, Okayama University, National Institute of Aging, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Public Health Genomics Unit, Department of Psychiatry and Psychotherapy, HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Department of Mathematics, University of Colorado, University of Colorado [Boulder], Icelandic Heart Association, Kopavogur, Iceland., Faculty of Medicine, University of Iceland [Reykjavik], Department of Molecular Neurosciences, Institute of Neurology, UCL, Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University [Osaka], Department of Psychiatry, University of Iowa, University of Iowa [Iowa City], University Medical Center Groningen [Groningen] (UMCG), Neuronal Plasticity / Mouse Behaviour, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Tohoku University [Sendai], Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands, Stony Brook University [SUNY] (SBU), State University of New York (SUNY), Department of Medicine, Clinical Pharmacology Unit, Karolinska University Hospital [Stockholm], Centre for Allergy Research, Karolinska Institutet [Stockholm], Interuniversity Cardiology Institute Netherlands, Institute of Cognitive Neuroscience, School of Psychology, University of Sussex, Brighton BN1 9QH, UK, University of Sussex, Medical University of Łódź (MUL), Mayo Clinic [Rochester], University of Maryland School of Medicine, University of Maryland System-University of Maryland System-University of Maryland [Baltimore County] (UMBC), University of Maryland System, Department of Civil and Structural Engineering, The Hong Kong Polytechnic University [Hong Kong] (POLYU)-The Hong Kong Polytechnic University [Hong Kong] (POLYU), Université de Cergy Pontoise (UCP), Université Paris-Seine, Lymphocyte Cell Biology Unit, Laboratory of Genetics, Laboratoire de Statistique Théorique et Appliquée (LSTA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Psychiatry Institute, Department of Health and Human Services, Department of Life Sciences, Mathematical Sciences Institute (MSI), Australian National University (ANU), Centre for Advanced Imaging, Institute of Gerontology and Geriatrics, Università degli Studi di Perugia (UNIPG), Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], Medical Faculty [Mannheim], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Genetic Epidemiology Unit, Université de Toulon - UFR Lettres et Sciences Humaines (UTLN UFR LSH), Université de Toulon (UTLN), Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Institute of Clinical Chemistry and Laboratory Medicine, Warwick Manufacturing Group [Coventry] (WMG), University of Warwick [Coventry], Department of Statistics [Warwick], Delft University of Technology (TU Delft), Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Health Science, Division of Health and Rehabilitation, Luleå University of Technology (LUT), University Medical Center [Utrecht]-Brain Center Rudolf Magnus, McConnell Brain Imaging Centre (MNI), Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada, Psychiatry and Human Behavior, University of California, Irvine, California 92617, USA, Group Health Research Institute, Group Health Cooperative, Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Cedars-Sinai Medical Center, Centre for Healthy Brain Ageing [Sydney], The University of Sydney, Genetics of Mental Illness and Brain Function, Neuroscience Research Australia, Broad Institute [Cambridge], Harvard University [Cambridge]-Massachusetts Institute of Technology (MIT), Department of Medical Biochemistry and Microbiology, Department of Clinical and Experimental Epilepsy, Department of neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, Department of neurology, University of Eastern Finland-University Hospital of Kuopio-University of Eastern Finland-University Hospital of Kuopio, Stroke and Ageing Research Centre, Southern Clinical School, Department of Medicine, Monash University, Monash University [Melbourne], Menzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania, Australia, University of Tasmania [Hobart, Australia] (UTAS), Institute of Cardiovascular and Medical Sciences [Glasgow], University of Glasgow, Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney 2052, Australia, Department of Epidemiology, Laboratory of Neuro Imaging [Los Angeles] (LONI), University of York [York, UK], Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Genentech, Inc. [San Francisco], Departments of Radiology and of Epidemiology [Rotterdam], Psychiatry and Leiden Institute for Brain and Cognition, Department of Neurology [Rotterdam], Institute for Community Medicine, Berlin School of Mind and Brain [Berlin], Humboldt-Universität zu Berlin, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Centre for Population Health Sciences, Department of Physics [Hong Kong University of Science and Technology], Hong Kong University of Science and Technology (HKUST), Department of Neurobiology, Care Sciences and Society, Research Laboratory for Archaeology & the History of Art, Singapore Eye Research Institute, Singapore National Eye Centre, School of Life Sciences, Arizona State University [Tempe] (ASU), Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, University of California [Davis] (UC Davis), Dpt of Pharmacology and Personalised Medicine [Maastricht], Maastricht University [Maastricht], University of Missouri [Columbia] (Mizzou), University of Missouri System, Göttingen Zentrum Geowissenschaften, Georg-August-University [Göttingen], Human Genetics Center, Psychiatry, EMGO - Mental health, Amsterdam Neuroscience - Complex Trait Genetics, Anatomy and neurosciences, Klinische Genetica, MUMC+: DA Klinische Genetica (5), RS: FHML non-thematic output, RS: GROW - School for Oncology and Reproduction, RS: GROW - R4 - Reproductive and Perinatal Medicine, Genetica & Celbiologie, Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Chimie du CNRS (INC)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut de Chimie du CNRS (INC)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), University of Maryland [Baltimore County] (UMBC), University of Maryland System-University of Maryland System-University of Maryland School of Medicine, Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Universidad de Cantabria, Universiteit Leiden, Radboud University [Nijmegen], University of California (UC), Universität Heidelberg [Heidelberg] = Heidelberg University, Universität Bonn = University of Bonn, [GIN] Grenoble Institut des Neurosciences (GIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Yale School of Medicine [New Haven, Connecticut] (YSM), Department of Cognitive Sciences [Univ California San Diego] (CogSci - UC San Diego), University of California (UC)-University of California (UC), Department of Neurosciences [Univ California San Diego] (Neuro - UC San Diego), School of Medicine [Univ California San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), King Faisal Specialist Hospital and Research Centre (KFSH & RC), Universiteit Leiden-Universiteit Leiden, University of Twente, University of California [Irvine] (UC Irvine), Radboud University [Nijmegen]-Radboud University [Nijmegen], Centre épigénétique et destin cellulaire (EDC), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université de Lausanne = University of Lausanne (UNIL), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Università degli Studi di Perugia = University of Perugia (UNIPG), University Hospital Mannheim | Universitätsmedizin Mannheim, Universität Leipzig-Universität Leipzig, University Hospital Mannheim | Universitätsmedizin Mannheim-University Hospital Mannheim | Universitätsmedizin Mannheim, Harvard University-Massachusetts Institute of Technology (MIT), University of Eastern Finland, Humboldt University Of Berlin, Georg-August-University = Georg-August-Universität Göttingen, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Epidemiology, Child and Adolescent Psychiatry / Psychology, Ophthalmology, Radiology & Nuclear Medicine, Internal Medicine, Neurosciences, Obstetrics & Gynecology, Neurology, EMGO+ - Mental Health, Biological Psychology, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement (Inserm U1167 - RID-AGE - Institut Pasteur), McGill University-McGill University, National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), McGill University, Technische Universität Dresden (TUD), Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Cochin [AP-HP], University of Bergen (UIB), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), University of Minnesota [Twin Cities], Karakter Child and Adolescent Psychiatry University Center Nijmegen, Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut Pasteur [Paris], Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Texas Biomedical Research Institute [San Antonio, Texas], Bijvoet Center of Biomolecular Research, Université Libre de Bruxelles [Bruxelles] (ULB)-Hôpital Erasme (Bruxelles), Okayama University [Okayama], Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Massachusetts Institute of Technology (MIT)-Harvard University [Cambridge], University of Tasmania (UTAS), Humboldt Universität zu Berlin, Department of Physics [Kowloon], University of Missouri [Columbia], Georg-August-Universität Göttingen, and the Alzheimer's Disease Neuroimaging Initiative, EPIGEN, IMAGEN, SYS
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0301 basic medicine ,Netherlands Twin Register (NTR) ,Genome-wide association study ,Disease ,methods [Genome-Wide Association Study] ,Genome-wide association studies ,Phosphatidylinositol 3-Kinases ,0302 clinical medicine ,Cognition ,PARKINSONS-DISEASE ,pathology [Brain] ,genetics [Parkinson Disease] ,610 Medicine & health ,General Neuroscience ,growth & development [Brain] ,physiology [Cognition] ,220 Statistical Imaging Neuroscience ,COMMON VARIANTS ,Brain ,Parkinson Disease ,Phenotype ,17Q21.31 MICRODELETION ,IGF-I ,genetics [Oncogene Protein v-akt] ,Oncogene Protein v-akt ,ALZHEIMERS-DISEASE ,HEAD CIRCUMFERENCE ,Brain size ,genetics [Polymorphism, Single Nucleotide] ,Medical genetics ,GROWTH ,Neuroinformatics ,medicine.medical_specialty ,Neuroscience(all) ,European Continental Ancestry Group ,genetics [Genetic Loci] ,Biology ,Genetic correlation ,Polymorphism, Single Nucleotide ,150 000 MR Techniques in Brain Function ,Article ,White People ,03 medical and health sciences ,Image processing ,SDG 3 - Good Health and Well-being ,ddc:570 ,medicine ,Journal Article ,Humans ,Genetic Predisposition to Disease ,Gene ,METAANALYSIS ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Neurology & Neurosurgery ,Neuroscience (all) ,Height ,[SCCO.NEUR]Cognitive science/Neuroscience ,CONSORTIUM ,Development of the nervous system ,1702 Cognitive Science ,030104 developmental biology ,Genetic Loci ,Human genome ,BRAIN SIZE ,1109 Neurosciences ,genetics [Phosphatidylinositol 3-Kinases] ,Neuroscience ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Contains fulltext : 165723pub.pdf (Publisher’s version ) (Closed access) Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (rhogenetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.
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- 2016
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30. A method to customize population-specific arrays for genome-wide association testing
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Sahar Nohzadeh-Malakshah, Dorret I. Boomsma, Abdel Abdellaoui, Iryna O. Fedko, Gareth E. Davies, Gonneke Willemsen, Erik A. Ehli, Eco J. C. de Geus, Charlie Grieser, Jouke J. Hottenga, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, APH - Methodology, and APH - Personalized Medicine
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0301 basic medicine ,Netherlands Twin Register (NTR) ,Genotyping Techniques ,Concordance ,Short Report ,Single-nucleotide polymorphism ,Genome-wide association study ,Biology ,Genome ,Polymorphism, Single Nucleotide ,Sensitivity and Specificity ,03 medical and health sciences ,Genetics ,Humans ,Genotyping ,Genetics (clinical) ,Genetic association ,Oligonucleotide Array Sequence Analysis ,SDG 10 - Reduced Inequalities ,030104 developmental biology ,Imputation (genetics) ,Reference genome ,Genome-Wide Association Study - Abstract
As an example of optimizing population-specific genotyping assays using a whole-genome sequence reference set, we detail the approach that followed to design the Axiom-NL array which is characterized by an improved imputation backbone based on the Genome of the Netherlands (GoNL) reference sequence and, compared with earlier arrays, a more comprehensive inclusion of SNPs on chromosomes X, Y, and the mitochondria. Common variants on the array were selected to be compatible with the Illumina Psych Array and the Affymetrix UK Biobank Axiom array. About 3.5% of the array (23 977 markers) represents SNPs from the GWAS catalog, including SNPs at FTO, APOE, Ion-channels, killer-cell immunoglobulin-like receptors, and HLA. Around 26 000 markers associated with common psychiatric disorders are included, as well as 6705 markers suggested to be associated with fertility and twinning. The platform can thus be used for risk profiling, detection of new variants, as well as ancestry determination. Results of coverage tests in 249 unrelated subjects with GoNL-based sequence data show that after imputation with 1000G as a reference, the median concordance between original and imputed genotypes is above 98%. The median imputation quality R2 for MAF thresholds of 0.001, 0.01, 0.05, and >0.05 are 0.05, 0.28, 0.80, 0.99, respectively, for the 1000G imputed SNPs, with a similar quality for the autosomes and X chromosome, showing a good genome-wide coverage for association studies after imputation.
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- 2016
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31. Obsessive–compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs
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Nuno R. Zilhão, Danielle C. Cath, Dirk J.A. Smit, Dorret I. Boomsma, Iryna O. Fedko, René Pool, A. den Braber, J-J Hottenga, Neurology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Leerstoel Hout, Experimental psychopathology, and Biological Psychology
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Adult ,Male ,0301 basic medicine ,Netherlands Twin Register (NTR) ,Multifactorial Inheritance ,Obsessive-Compulsive Disorder ,Population ,Twins ,Single-nucleotide polymorphism ,Genome-wide association study ,Twin Study ,Biology ,Research Support ,Bioinformatics ,Polymorphism, Single Nucleotide ,N.I.H ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,Research Support, N.I.H., Extramural ,Journal Article ,Humans ,SNP ,Polymorphism ,Non-U.S. Gov't ,education ,Genetic Association Studies ,Biological Psychiatry ,Netherlands ,Genetic association ,Genetics ,education.field_of_study ,Research Support, Non-U.S. Gov't ,Extramural ,Single Nucleotide ,Heritability ,Twin study ,3. Good health ,Psychiatry and Mental health ,030104 developmental biology ,Case-Control Studies ,Chromosomal region ,Original Article ,Female ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Variation in obsessive–compulsive symptoms (OCS) has a heritable basis, with genetic association studies starting to yield the first suggestive findings. We contribute to insights into the genetic basis of OCS by performing an extensive series of genetic analyses in a homogeneous, population-based sample from the Netherlands. First, phenotypic and genetic longitudinal correlations over a 6-year period were estimated by modeling OCS data from twins and siblings. Second, polygenic risk scores (PRS) for 6931 subjects with genotype and OCS data were calculated based on meta-analysis results from IOCDF-GC, to investigate their predictive value. Third, the contribution of measured single nucleotide polymorphisms (SNPs) to the heritability was estimated using random-effects modeling. Last, we performed an exploratory genome-wide association study (GWAS) of OCS, testing for SNP- and for gene-based associations. Stability in OCS (test–retest correlation 0.63) was mainly explained by genetic stability. The PRS based on clinical samples predicted OCS in our population-based twin-family sample. SNP-based heritability was estimated at 14%. GWAS revealed one SNP (rs8100480), located within the MEF2BNB gene, associated with OCS (P=2.56 × 10−8). Additional gene-based testing resulted in four significantly associated genes, which are located in the same chromosomal region on chromosome 19p13.11: MEF2BNB, RFXANK, MEF2BNB-MEF2B and MEF2B. Thus, common genetic variants explained a significant proportion of OCS trait variation. Genes significantly associated with OCS are expressed in the brain and involved in development and control of immune system functions (RFXANK) and regulation of gene expression of muscle-specific genes (MEF2BNB). MEF2BNB also showed a suggestive association with OCD in an independent case–control study, suggesting a role for this gene in the development of OCS.
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- 2016
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32. Testing familial transmission of smoking with two different research designs
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Jacqueline M. Vink, Iryna O. Fedko, Jorien L. Treur, Karin J. H. Verweij, E.L. de Zeeuw, A. Abdellaoui, Jouke-Jan Hottenga, Gonneke Willemsen, and Dorret I. Boomsma
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0301 basic medicine ,Pharmacology ,Gerontology ,medicine.medical_specialty ,business.industry ,Familial transmission ,Alternative medicine ,03 medical and health sciences ,Psychiatry and Mental health ,030104 developmental biology ,Neurology ,Medicine ,Pharmacology (medical) ,Neurology (clinical) ,business ,Developmental Psychopathology ,Biological Psychiatry - Abstract
Item does not contain fulltext 2 p.
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- 2017
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33. Estimation of Genetic Relationships Between Individuals Across Cohorts and Platforms: Application to Childhood Height
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Catharina E. M. van Beijsterveldt, Morris A. Swertz, Henning Tiemeier, Fernando Rivadeneira, Erik A. Ehli, Carolina Medina-Gomez, Irene Pappa, Dorret I. Boomsma, Iryna O. Fedko, Meike Bartels, Jouke-Jan Hottenga, Gareth E. Davies, Christel M. Middeldorp, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Biological Psychology, LEARN! - Child rearing, Psychiatry, NCA - Neurobiology of mental health, EMGO - Mental health, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Internal Medicine, Child and Adolescent Psychiatry / Psychology, and Epidemiology
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Male ,Netherlands Twin Register (NTR) ,Genome-wide association study ,Cohort Studies ,0302 clinical medicine ,Statistics ,IMPUTATION ,NETHERLANDS TWIN REGISTER ,Genetics(clinical) ,Child ,Genetics (clinical) ,Original Research ,Genetics ,0303 health sciences ,Principal Component Analysis ,GCTA ,ARCHITECTURE ,Body Height/genetics ,HERITABILITY ,Polymorphism, Single Nucleotide/genetics ,ADMIXED POPULATIONS ,Cohort ,Genome-Wide Association Study/methods ,Female ,Single Nucleotide/genetics ,Genotype ,Single-nucleotide polymorphism ,Biology ,Genotyping platform ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Quantitative Trait ,Quantitative Trait, Heritable ,SNP-heritability ,Covariate ,Humans ,POPULATION-STRUCTURE ,Polymorphism ,GENOME-WIDE ASSOCIATION ,Heritable ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,Genetic heterogeneity ,Height ,Heritability ,Body Height ,COMMON SNPS EXPLAIN ,Standard error ,LARGE PROPORTION ,GENERATION R ,Heterogeneity ,030217 neurology & neurosurgery ,Imputation (genetics) ,Genome-Wide Association Study - Abstract
Combining genotype data across cohorts increases power to estimate the heritability due to common single nucleotide polymorphisms (SNPs), based on analyzing a Genetic Relationship Matrix (GRM). However, the combination of SNP data across multiple cohorts may lead to stratification, when for example, different genotyping platforms are used. In the current study, we address issues of combining SNP data from different cohorts, the Netherlands Twin Register (NTR) and the Generation R (GENR) study. Both cohorts include children of Northern European Dutch background (N = 3102 + 2826, respectively) who were genotyped on different platforms. We explore imputation and phasing as a tool and compare three GRM-building strategies, when data from two cohorts are (1) just combined, (2) pre-combined and cross-platform imputed and (3) cross-platform imputed and post-combined. We test these three strategies with data on childhood height for unrelated individuals (N = 3124, average age 6.7 years) to explore their effect on SNP-heritability estimates and compare results to those obtained from the independent studies. All combination strategies result in SNP-heritability estimates with a standard error smaller than those of the independent studies. We did not observe significant difference in estimates of SNP-heritability based on various cross-platform imputed GRMs. SNP-heritability of childhood height was on average estimated as 0.50 (SE = 0.10). Introducing cohort as a covariate resulted in a parts per thousand 2 % drop. Principal components (PCs) adjustment resulted in SNP-heritability estimates of about 0.39 (SE = 0.11). Strikingly, we did not find significant difference between cross-platform imputed and combined GRMs. All estimates were significant regardless the use of PCs adjustment. Based on these analyses we conclude that imputation with a reference set helps to increase power to estimate SNP-heritability by combining cohorts of the same ethnicity genotyped on different platforms. However, important factors should be taken into account such as remaining cohort stratification after imputation and/or phenotypic heterogeneity between and within cohorts. Whether one should use imputation, or just combine the genotype data, depends on the number of overlapping SNPs in relation to the total number of genotyped SNPs for both cohorts, and their ability to tag all the genetic variance related to the specific trait of interest.
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- 2015
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34. Correction
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Jouke-Jan Hottenga, Catharina E. M. van Beijsterveldt, Frank C. Verhulst, Vincent W. V. Jaddoe, Viara R. Mileva-Seitz, Fernando Rivadeneira, Dorret I. Boomsma, Christel M. Middeldorp, Iryna O. Fedko, Meike Bartels, Henning Tiemeier, Ralph C. A. Rippe, Marian J. Bakermans-Kranenburg, Irene Pappa, and Marinus H. van IJzendoorn
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Genetics ,Psychiatry and Mental health ,Developmental and Educational Psychology ,Single-nucleotide polymorphism ,Heritability ,Biology ,Genome ,Trait analysis - Published
- 2015
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