Search

Your search keyword '"Baselmans, Bart M L"' showing total 43 results
Start Over Author "Baselmans, Bart M L"
43 results on '"Baselmans, Bart M L"'

6. GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability

Author

Pasman, Joëlle A., Verweij, Karin J. H., Gerring, Zachary, Stringer, Sven, Sanchez-Roige, Sandra, Treur, Jorien L., Abdellaoui, Abdel, Nivard, Michel G., Baselmans, Bart M. L., Ong, Jue-Sheng, Ip, Hill F., van der Zee, Matthijs D., Bartels, Meike, Day, Felix R., Fontanillas, Pierre, Elson, Sarah L., the 23andMe Research Team, de Wit, Harriet, Davis, Lea K., MacKillop, James, The Substance Use Disorders Working Group of the Psychiatric Genomics Consortium, International Cannabis Consortium, Derringer, Jaime L., Branje, Susan J. T., Hartman, Catharina A., Heath, Andrew C., van Lier, Pol A. C., Madden, Pamela A. F., Mägi, Reedik, Meeus, Wim, Montgomery, Grant W., Oldehinkel, A. J., Pausova, Zdenka, Ramos-Quiroga, Josep A., Paus, Tomas, Ribases, Marta, Kaprio, Jaakko, Boks, Marco P. M., Bell, Jordana T., Spector, Tim D., Gelernter, Joel, Boomsma, Dorret I., Martin, Nicholas G., MacGregor, Stuart, Perry, John R. B., Palmer, Abraham A., Posthuma, Danielle, Munafò, Marcus R., Gillespie, Nathan A., Derks, Eske M., and Vink, Jacqueline M.

Published
2018
Full Text
View/download PDF

9. Author Correction: GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability

Author

Pasman, Joëlle A., Verweij, Karin J. H., Gerring, Zachary, Stringer, Sven, Sanchez-Roige, Sandra, Treur, Jorien L., Abdellaoui, Abdel, Nivard, Michel G., Baselmans, Bart M. L., Ong, Jue-Sheng, Ip, Hill F., van der Zee, Matthijs D., Bartels, Meike, Day, Felix R., Fontanillas, Pierre, Elson, Sarah L., the 23andMe Research Team, de Wit, Harriet, Davis, Lea K., MacKillop, James, The Substance Use Disorders Working Group of the Psychiatric Genomics Consortium, International Cannabis Consortium, Derringer, Jaime L., Branje, Susan J. T., Hartman, Catharina A., Heath, Andrew C., van Lier, Pol A. C., Madden, Pamela A. F., Mägi, Reedik, Meeus, Wim, Montgomery, Grant W., Oldehinkel, A. J., Pausova, Zdenka, Ramos-Quiroga, Josep A., Paus, Tomas, Ribases, Marta, Kaprio, Jaakko, Boks, Marco P. M., Bell, Jordana T., Spector, Tim D., Gelernter, Joel, Boomsma, Dorret I., Martin, Nicholas G., MacGregor, Stuart, Perry, John R. B., Palmer, Abraham A., Posthuma, Danielle, Munafò, Marcus R., Gillespie, Nathan A., Derks, Eske M., and Vink, Jacqueline M.

Published
2019
Full Text
View/download PDF

12. DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan

Author

van Dongen, Jenny, Hagenbeek, Fiona A., Suderman, Matthew, Roetman, Peter J., Sugden, Karen, Chiocchetti, Andreas G., Ismail, Khadeeja, Mulder, Rosa H., Hafferty, Jonathan D., Adams, Mark J., Walker, Rosie M., Morris, Stewart W., Lahti, Jari, Küpers, Leanne K., Escaramis, Georgia, Alemany, Silvia, Jan Bonder, Marc, Meijer, Mandy, Ip, Hill F., Jansen, Rick, Baselmans, Bart M. L., Parmar, Priyanka, Lowry, Estelle, Streit, Fabian, Sirignano, Lea, Send, Tabea S., Frank, Josef, Jylhävä, Juulia, Wang, Yunzhang, Mishra, Pashupati Prasad, Colins, Olivier F., Corcoran, David L., Poulton, Richie, Mill, Jonathan, Hannon, Eilis, Arseneault, Louise, Korhonen, Tellervo, Vuoksimaa, Eero, Felix, Janine F., Bakermans-Kranenburg, Marian J., Campbell, Archie, Czamara, Darina, Binder, Elisabeth, Corpeleijn, Eva, Gonzalez, Juan R., Grazuleviciene, Regina, Gutzkow, Kristine B., Evandt, Jorunn, Vafeiadi, Marina, Klein, Marieke, van der Meer, Dennis, Ligthart, Lannie, Heijmans, Bastiaan T., ’t Hoen, Peter A. C., van Meurs, Joyce, Franke, Lude, Boomsma, Dorret I., Pool, René, Hottenga, Jouke J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D. A., van der Kallen, Carla J. H., Schalkwijk, Casper G., Wijmenga, Cisca, Zhernakova, Sasha, Tigchelaar, Ettje F., Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H., van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, André G., Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., van ’t Hof, Peter, Deelen, Patrick, Nooren, Irene, Moed, Matthijs, Vermaat, Martijn, Luijk, René, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik. W., ’t Hoen, Peter-Bram, Kluft, Cornelis, Davies, Gareth E., Hakulinen, Christian, Keltikangas-Järvinen, Liisa, Franke, Barbara, Freitag, Christine M., Konrad, Kerstin, Hervas, Amaia, Fernández-Rivas, Aranzazu, Vetro, Agnes, Raitakari, Olli, Lehtimäki, Terho, Vermeiren, Robert, Strandberg, Timo, Räikkönen, Katri, Snieder, Harold, Witt, Stephanie H., Deuschle, Michael, Pedersen, Nancy L., Hägg, Sara, Sunyer, Jordi, Kaprio, Jaakko, Ollikainen, Miina, Moffitt, Terrie E., Tiemeier, Henning, van IJzendoorn, Marinus H., Relton, Caroline, Vrijheid, Martine, Sebert, Sylvain, Jarvelin, Marjo-Riitta, Caspi, Avshalom, Evans, Kathryn L., McIntosh, Andrew M., Bartels, Meike, Child and Adolescent Psychiatry / Psychology, Pediatrics, Internal Medicine, Urology, Epidemiology, Orthopedics and Sports Medicine, Clinical Child and Family Studies, van der Kallen, Carla J. H., Schalkwijk, Casper G., Wijmenga, Cisca, Franke, Lude, Zhernakova, Sasha, Tigchelaar, Ettje F., Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H., van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, André G., van Meurs, Joyce, Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., Jansen, Rick, van 't Hof, Peter, Deelen, Patrick, Nooren, Irene, 't Hoen, Peter A. C., Heijmans, Bastiaan T., Moed, Matthijs, Vermaat, Martijn, Luijk, René, Jan Bonder, Marc, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik W., 't Hoen, Peter-Bram, Boomsma, Dorret I., Pool, René, van Dongen, Jenny, Hottenga, Jouke J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D. A., Institute for Molecular Medicine Finland, University of Helsinki, Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Psychology and Logopedics, Faculty of Medicine, Tellervo Korhonen / Principal Investigator, Genetic Epidemiology, Faculty Common Matters (Faculty of Medicine), Cognitive and Brain Aging, Helsinki Inequality Initiative (INEQ), Psychosocial factors and health, Faculty Common Matters (Faculty of Education), Medicum, HUS Internal Medicine and Rehabilitation, Timo Strandberg / Principal Investigator, Department of Medicine, Clinicum, Geriatrian yksikkö, Reproductive Origins of Adult Health and Disease (ROAHD), Life Course Epidemiology (LCE), Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Pediatric surgery, APH - Mental Health, Amsterdam Reproduction & Development (AR&D), APH - Personalized Medicine, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Methodology, Tampere University, Health Sciences, Department of Clinical Chemistry, Clinical Medicine, RS: MHeNs - R2 - Mental Health, and Psychiatrie & Neuropsychologie

Subjects
0301 basic medicine, Molecular biology, ADN, Physiology, CHILDREN, 3124 Neurology and psychiatry, Epigenesis, Genetic, Epigenome, 0302 clinical medicine, Child, RISK, ASSOCIATION, Middle Aged, Justice and Strong Institutions, Aggression, Psychiatry and Mental health, Schizophrenia, TWINS, Meta-analysis, Cord blood, Child, Preschool, DNA methylation, HEALTH, medicine.symptom, SMOKING, Adult, SDG 16 - Peace, Adolescent, 515 Psychology, Longevity, Biology, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, SDG 3 - Good Health and Well-being, Genetic variation, medicine, Genetics, Humans, ddc:610, EXPOSURE, ABUSE, Genetic association, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], SDG 16 - Peace, Justice and Strong Institutions, 3112 Neurosciences, GENOME-WIDE, DNA Methylation, Epigenètica, medicine.disease, 3141 Health care science, 030104 developmental biology, COHORT PROFILE, 1182 Biochemistry, cell and molecular biology, CpG Islands, 3111 Biomedicine, Metaanàlisi, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Molecular psychiatry 26(6), 2148-2162 (2021). doi:10.1038/s41380-020-00987-x, Published by Macmillan, London

Published
2021
Full Text
View/download PDF

15. Author Correction: GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability (Nature Neuroscience, (2018), 21, 9, (1161-1170), 10.1038/s41593-018-0206-1)

Author

Pasman, Joëlle A., Verweij, Karin J. H., Gerring, Zachary, Stringer, Sven, Sanchez-Roige, Sandra, Treur, Jorien L., Abdellaoui, Abdel, Nivard, Michel G., Baselmans, Bart M. L., Ong, Jue-Sheng, Ip, Hill F., van der Zee, Matthijs D., Bartels, Meike, Day, Felix R., Fontanillas, Pierre, Elson, Sarah L., de Wit, Harriet, Davis, Lea K., MacKillop, James, Derringer, Jaime L., Branje, Susan J. T., Hartman, Catharina A., Heath, Andrew C., van Lier, Pol A. C., Madden, Pamela A. F., Mägi, Reedik, Meeus, Wim, Montgomery, Grant W., Oldehinkel, A. J., Pausova, Zdenka, Ramos-Quiroga, Josep A., Paus, Tomas, Ribases, Marta, Kaprio, Jaakko, Boks, Marco P. M., Bell, Jordana T., Spector, Tim D., Gelernter, Joel, Boomsma, Dorret I., Martin, Nicholas G., MacGregor, Stuart, Perry, John R. B., Palmer, Abraham A., Posthuma, Danielle, Munafò, Marcus R., Gillespie, Nathan A., Derks, Eske M., and Vink, Jacqueline M.

Subjects
mental disorders, behavioral disciplines and activities
Abstract

Several occurrences of the word ‘schizophrenia’ have been re-worded as ‘liability to schizophrenia’ or ‘schizophrenia risk’, including in the title, which should have been “GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability,” as well as in Supplementary Figures 1–10 and Supplementary Tables 7–10, to more accurately reflect the findings of the work.

Published
2019
Full Text
View/download PDF

16. GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia

Author

Pasman, Joëlle A., Verweij, Karin J. H., Gerring, Zachary, Stringer, Sven, Sanchez-roige, Sandra, Treur, Jorien L., Abdellaoui, Abdel, Nivard, Michel G., Baselmans, Bart M. L., Ong, Jue-sheng, Ip, Hill F., Van Der Zee, Matthijs D., Bartels, Meike, Day, Felix R., Fontanillas, Pierre, Elson, Sarah L., De Wit, Harriet, Davis, Lea K., Mackillop, James, Derringer, Jaime L., Branje, Susan J. T., Hartman, Catharina A., Heath, Andrew C., Van Lier, Pol A. C., Madden, Pamela A. F., Mägi, Reedik, Meeus, Wim, Montgomery, Grant W., Oldehinkel, A. J., Pausova, Zdenka, Ramos-quiroga, Josep A., Paus, Tomas, Ribases, Marta, Kaprio, Jaakko, Boks, Marco P. M., Bell, Jordana T., Spector, Tim D., Gelernter, Joel, Boomsma, Dorret I., Martin, Nicholas G., Macgregor, Stuart, Perry, John R. B., Palmer, Abraham A., Posthuma, Danielle, Munafò, Marcus R., Gillespie, Nathan A., Derks, Eske M., Vink, Jacqueline M., Leerstoel Branje, and Adolescent development: Characteristics and determinants

Subjects
Taverne
Abstract

Cannabis use is a heritable trait that has been associated with adverse mental health outcomes. In the largest genome-wide association study (GWAS) for lifetime cannabis use to date (N = 184,765), we identified eight genome-wide significant independent single nucleotide polymorphisms in six regions. All measured genetic variants combined explained 11% of the variance. Gene-based tests revealed 35 significant genes in 16 regions, and S-PrediXcan analyses showed that 21 genes had different expression levels for cannabis users versus nonusers. The strongest finding across the different analyses was CADM2, which has been associated with substance use and risk-taking. Significant genetic correlations were found with 14 of 25 tested substance use and mental health–related traits, including smoking, alcohol use, schizophrenia and risk-taking. Mendelian randomization analysis showed evidence for a causal positive influence of schizophrenia risk on cannabis use. Overall, our study provides new insights into the etiology of cannabis use and its relation with mental health.

Published
2018

17. Multivariate genome-wide analyses of the well-being spectrum

Author

Baselmans, Bart M L, Jansen, Rick, Ip, Hill F, van Dongen, Jenny, Abdellaoui, Abdel, van de Weijer, Margot P, Bao, Yanchun, Smart, Melissa, Kumari, Meena, Willemsen, Gonneke, Hottenga, Jouke-Jan, Boomsma, Dorret I, de Geus, Eco J C, Nivard, Michel G, Bartels, Meike, Baselmans, Bart M L, Jansen, Rick, Ip, Hill F, van Dongen, Jenny, Abdellaoui, Abdel, van de Weijer, Margot P, Bao, Yanchun, Smart, Melissa, Kumari, Meena, Willemsen, Gonneke, Hottenga, Jouke-Jan, Boomsma, Dorret I, de Geus, Eco J C, Nivard, Michel G, and Bartels, Meike

Abstract

We introduce two novel methods for multivariate genome-wide-association meta-analysis (GWAMA) of related traits that correct for sample overlap. A broad range of simulation scenarios supports the added value of our multivariate methods relative to univariate GWAMA. We applied the novel methods to life satisfaction, positive affect, neuroticism, and depressive symptoms, collectively referred to as the well-being spectrum (Nobs = 2,370,390), and found 304 significant independent signals. Our multivariate approaches resulted in a 26% increase in the number of independent signals relative to the four univariate GWAMAs and in an ~57% increase in the predictive power of polygenic risk scores. Supporting transcriptome- and methylome-wide analyses (TWAS and MWAS, respectively) uncovered an additional 17 and 75 independent loci, respectively. Bioinformatic analyses, based on gene expression in brain tissues and cells, showed that genes differentially expressed in the subiculum and GABAergic interneurons are enriched in their effect on the well-being spectrum.

Published
2019
Full Text
View/download PDF

18. Smoking and caffeine consumption: a genetic analysis of their association

Author

Treur, Jorien L., Taylor, Amy E., Ware, Jennifer J., Nivard, Michel G., Neale, Michael C., McMahon, George, Hottenga, Jouke‐Jan, Baselmans, Bart M. L., Boomsma, Dorret I., Munafò, Marcus R., Vink, Jacqueline M., Adult Psychiatry, and ANS - Amsterdam Neuroscience

Subjects
Human Genetic Study, Adult, Male, LD-score regression, LD‐score regression, Tobacco and Alcohol, Twins, ALSPAC, Brain and Behaviour, twin modelling, smoking, Risk Factors, Surveys and Questionnaires, Mendelian randomization, Humans, Original Article, Central Nervous System Stimulants, Female, Longitudinal Studies, Registries, Genome-Wide Association Study, Netherlands, caffeine
Abstract

Smoking and caffeine consumption show a strong positive correlation, but the mechanism underlying this association is unclear. Explanations include shared genetic/environmental factors or causal effects. This study employed three methods to investigate the association between smoking and caffeine. First, bivariate genetic models were applied to data of 10 368 twins from the Netherlands Twin Register in order to estimate genetic and environmental correlations between smoking and caffeine use. Second, from the summary statistics of meta‐analyses of genome‐wide association studies on smoking and caffeine, the genetic correlation was calculated by LD‐score regression. Third, causal effects were tested using Mendelian randomization analysis in 6605 Netherlands Twin Register participants and 5714 women from the Avon Longitudinal Study of Parents and Children. Through twin modelling, a genetic correlation of r0.47 and an environmental correlation of r0.30 were estimated between current smoking (yes/no) and coffee use (high/low). Between current smoking and total caffeine use, this was r0.44 and r0.00, respectively. LD‐score regression also indicated sizeable genetic correlations between smoking and coffee use (r0.44 between smoking heaviness and cups of coffee per day, r0.28 between smoking initiation and coffee use and r0.25 between smoking persistence and coffee use). Consistent with the relatively high genetic correlations and lower environmental correlations, Mendelian randomization provided no evidence for causal effects of smoking on caffeine or vice versa. Genetic factors thus explain most of the association between smoking and caffeine consumption. These findings suggest that quitting smoking may be more difficult for heavy caffeine consumers, given their genetic susceptibility.

Published
2017
Full Text
View/download PDF

20. GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia

Author

Leerstoel Branje, Adolescent development: Characteristics and determinants, Pasman, Joëlle A., Verweij, Karin J. H., Gerring, Zachary, Stringer, Sven, Sanchez-roige, Sandra, Treur, Jorien L., Abdellaoui, Abdel, Nivard, Michel G., Baselmans, Bart M. L., Ong, Jue-sheng, Ip, Hill F., Van Der Zee, Matthijs D., Bartels, Meike, Day, Felix R., Fontanillas, Pierre, Elson, Sarah L., De Wit, Harriet, Davis, Lea K., Mackillop, James, Derringer, Jaime L., Branje, Susan J. T., Hartman, Catharina A., Heath, Andrew C., Van Lier, Pol A. C., Madden, Pamela A. F., Mägi, Reedik, Meeus, Wim, Montgomery, Grant W., Oldehinkel, A. J., Pausova, Zdenka, Ramos-quiroga, Josep A., Paus, Tomas, Ribases, Marta, Kaprio, Jaakko, Boks, Marco P. M., Bell, Jordana T., Spector, Tim D., Gelernter, Joel, Boomsma, Dorret I., Martin, Nicholas G., Macgregor, Stuart, Perry, John R. B., Palmer, Abraham A., Posthuma, Danielle, Munafò, Marcus R., Gillespie, Nathan A., Derks, Eske M., Vink, Jacqueline M., Leerstoel Branje, Adolescent development: Characteristics and determinants, Pasman, Joëlle A., Verweij, Karin J. H., Gerring, Zachary, Stringer, Sven, Sanchez-roige, Sandra, Treur, Jorien L., Abdellaoui, Abdel, Nivard, Michel G., Baselmans, Bart M. L., Ong, Jue-sheng, Ip, Hill F., Van Der Zee, Matthijs D., Bartels, Meike, Day, Felix R., Fontanillas, Pierre, Elson, Sarah L., De Wit, Harriet, Davis, Lea K., Mackillop, James, Derringer, Jaime L., Branje, Susan J. T., Hartman, Catharina A., Heath, Andrew C., Van Lier, Pol A. C., Madden, Pamela A. F., Mägi, Reedik, Meeus, Wim, Montgomery, Grant W., Oldehinkel, A. J., Pausova, Zdenka, Ramos-quiroga, Josep A., Paus, Tomas, Ribases, Marta, Kaprio, Jaakko, Boks, Marco P. M., Bell, Jordana T., Spector, Tim D., Gelernter, Joel, Boomsma, Dorret I., Martin, Nicholas G., Macgregor, Stuart, Perry, John R. B., Palmer, Abraham A., Posthuma, Danielle, Munafò, Marcus R., Gillespie, Nathan A., Derks, Eske M., and Vink, Jacqueline M.

Published
2018

21. GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia

Author

Stringer, Sven, Treur, Jorien L, Abdellaoui, Abdel, Nivard, Michel G, Baselmans, Bart M L, Ip, Hill F, van der Zee, Matthijs D, Bartels, Meike, van Lier, Pol A C, Boomsma, Dorret I, Posthuma, Danielle, Derks, Eske M, Vink, Jacqueline M, 23Andme Research Team, Stringer, Sven, Treur, Jorien L, Abdellaoui, Abdel, Nivard, Michel G, Baselmans, Bart M L, Ip, Hill F, van der Zee, Matthijs D, Bartels, Meike, van Lier, Pol A C, Boomsma, Dorret I, Posthuma, Danielle, Derks, Eske M, Vink, Jacqueline M, and 23Andme Research Team

Abstract

Cannabis use is a heritable trait that has been associated with adverse mental health outcomes. In the largest genome-wide association study (GWAS) for lifetime cannabis use to date (N = 184,765), we identified eight genome-wide significant independent single nucleotide polymorphisms in six regions. All measured genetic variants combined explained 11% of the variance. Gene-based tests revealed 35 significant genes in 16 regions, and S-PrediXcan analyses showed that 21 genes had different expression levels for cannabis users versus nonusers. The strongest finding across the different analyses was CADM2, which has been associated with substance use and risk-taking. Significant genetic correlations were found with 14 of 25 tested substance use and mental health-related traits, including smoking, alcohol use, schizophrenia and risk-taking. Mendelian randomization analysis showed evidence for a causal positive influence of schizophrenia risk on cannabis use. Overall, our study provides new insights into the etiology of cannabis use and its relation with mental health.

Published
2018
Full Text
View/download PDF

22. Corrigendum: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Author

Okbay, Aysu, Baselmans, Bart M L, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Pasterkamp, Gerard, den Ruijter, Hester M, and Alizadeh, Behrooz Z

Subjects
Journal Article
Published
2016

23. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Author

Okbay, Aysu, Baselmans, Bart M L, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Pasterkamp, Gerard, den Ruijter, Hester M, Alizadeh, Behrooz Z, and LifeLines Cohort Study

Subjects
Journal Article
Abstract

Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.

Published
2016

24. 1 Personality Polygenes, Positive Affect, and Life Satisfaction

Author

Weiss, Alexander, Baselmans, Bart M. L., Hofer, Edith, Yang, Jingyun, Okbay, Aysu, Lind, Penelope A., Miller, Mike B., Nolte, Ilja M., Zhao, Wei, Hagenaars, Saskia P., Hottenga, Jouke-Jan, Matteson, Lindsay K., Snieder, Harold, Faul, Jessica D., Hartman, Catharina A., Boyle, Patricia A., Tiemeier, Henning, Mosing, Miriam A., Pattie, Alison, Davies, Gail, Liewald, David C., Schmidt, Reinhold, De Jager, Philip L., Heath, Andrew C., Jokela, Markus, Starr, John M., Oldehinkel, Albertine J., Johannesson, Magnus, Cesarini, David, Hofman, Albert, Harris, Sarah E., Smith, Jennifer A., Keltikangas-Järvinen, Liisa, Pulkki-Råback, Laura, Schmidt, Helena, Smith, Jacqui, Iacono, William G., McGue, Matt, Bennett, David A., Pedersen, Nancy L., Magnusson, Patrik K. E., Deary, Ian J., Martin, Nicholas G., Boomsma, Dorret I., Bartels, Meike, Luciano, Michelle, Applied Economics, Epidemiology, Child and Adolescent Psychiatry / Psychology, Psychiatry, Behavioural Sciences, Helsinki Collegium for Advanced Studies, and Psychosocial factors and health

Subjects
HAPPINESS, DISORDER, GENETICS, HERITABILITY, 1184 Genetics, developmental biology, physiology, TWIN, VARIANTS, genetic correlation, polygenic prediction, wellbeing, NEUROTICISM, mental disorders, GENOME-WIDE ASSOCIATION, TRAITS, METAANALYSIS
Abstract

Approximately half of the variation in wellbeing measures overlaps with variation in personality traits. Studies of non-human primate pedigrees and human twins suggest that this is due to common genetic influences. We tested whether personality polygenic scores for the NEO Five-Factor Inventory (NEO-FFI) domains and for item response theory (IRT) derived extraversion and neuroticism scores predict variance in wellbeing measures. Polygenic scores were based on published genome-wide association (GWA) results in over 17,000 individuals for the NEO-FFI and in over 63,000 for the IRT extraversion and neuroticism traits. The NEO-FFI polygenic scores were used to predict life satisfaction in 7 cohorts, positive affect in 12 cohorts, and general wellbeing in 1 cohort (maximal N = 46,508). Meta-analysis of these results showed no significant association between NEO-FFI personality polygenic scores and the wellbeing measures. IRT extraversion and neuroticism polygenic scores were used to predict life satisfaction and positive affect in almost 37,000 individuals from UK Biobank. Significant positive associations (effect sizes

Published
2016

25. Phenome-wide investigation of health outcomes associated with genetic predisposition to loneliness.

Author

Abdellaoui, Abdel, Sanchez-Roige, Sandra, Sealock, Julia, Treur, Jorien L, Dennis, Jessica, Fontanillas, Pierre, Elson, Sarah, Team, The 23andme Research, Nivard, Michel G, Ip, Hill Fung, van der Zee, Matthijs, Baselmans, Bart M L, Hottenga, Jouke Jan, Willemsen, Gonneke, Mosing, Miriam, Lu, Yi, Pedersen, Nancy L, Denys, Damiaan, Amin, Najaf, and Duijn, Cornelia M van

Published
2019
Full Text
View/download PDF

26. Associations between subjective well-being and subcortical brain volumes

Author

van't Ent, Dennis, den Braber, A., Baselmans, Bart M L, Brouwer, R. M., Dolan, Conor V, Hulshoff Pol, H. E., de Geus, Eco J. C., Bartels, M., van't Ent, Dennis, den Braber, A., Baselmans, Bart M L, Brouwer, R. M., Dolan, Conor V, Hulshoff Pol, H. E., de Geus, Eco J. C., and Bartels, M.

Published
2017

27. Associations between subjective well-being and subcortical brain volumes

Author

UMC Utrecht, Onderzoeksgroep 1, Brain, van't Ent, Dennis, den Braber, A., Baselmans, Bart M L, Brouwer, R. M., Dolan, Conor V, Hulshoff Pol, H. E., de Geus, Eco J. C., Bartels, M., UMC Utrecht, Onderzoeksgroep 1, Brain, van't Ent, Dennis, den Braber, A., Baselmans, Bart M L, Brouwer, R. M., Dolan, Conor V, Hulshoff Pol, H. E., de Geus, Eco J. C., and Bartels, M.

Published
2017

28. Corrigendum: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Author

Circulatory Health, Experimentele Afd. Cardiologie 1, Onderzoek Vrouw Hart & Vaatziekten, CDL Cluster Onderzoek en Onderwijs, Genetica, Okbay, Aysu, Baselmans, Bart M L, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Pasterkamp, Gerard, den Ruijter, Hester M, Alizadeh, Behrooz Z, LifeLines Cohort Study, Circulatory Health, Experimentele Afd. Cardiologie 1, Onderzoek Vrouw Hart & Vaatziekten, CDL Cluster Onderzoek en Onderwijs, Genetica, Okbay, Aysu, Baselmans, Bart M L, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Pasterkamp, Gerard, den Ruijter, Hester M, Alizadeh, Behrooz Z, and LifeLines Cohort Study

Published
2016

29. Corrigendum: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Author

Experimentele Afd. Cardiologie 1, Circulatory Health, Onderzoek Vrouw Hart & Vaatziekten, CDL Cluster Onderzoek en Onderwijs, Genetica, Okbay, Aysu, Baselmans, Bart M L, Neve, Jan-Emmanuel De, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Pasterkamp, Gerard, den Ruijter, Hester M, Alizadeh, Behrooz Z, LifeLines Cohort Study, Experimentele Afd. Cardiologie 1, Circulatory Health, Onderzoek Vrouw Hart & Vaatziekten, CDL Cluster Onderzoek en Onderwijs, Genetica, Okbay, Aysu, Baselmans, Bart M L, Neve, Jan-Emmanuel De, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Pasterkamp, Gerard, den Ruijter, Hester M, Alizadeh, Behrooz Z, and LifeLines Cohort Study

Published
2016

30. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Author

Experimentele Afd. Cardiologie 1, Circulatory Health, Onderzoek Vrouw Hart & Vaatziekten, CDL Cluster Onderzoek en Onderwijs, Genetica, Okbay, Aysu, Baselmans, Bart M L, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Pasterkamp, Gerard, den Ruijter, Hester M, Alizadeh, Behrooz Z, LifeLines Cohort Study, Experimentele Afd. Cardiologie 1, Circulatory Health, Onderzoek Vrouw Hart & Vaatziekten, CDL Cluster Onderzoek en Onderwijs, Genetica, Okbay, Aysu, Baselmans, Bart M L, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Pasterkamp, Gerard, den Ruijter, Hester M, Alizadeh, Behrooz Z, and LifeLines Cohort Study

Published
2016

31. Personality Polygenes, Positive Affect, and Life Satisfaction

Author

Weiss, Alexander, primary, Baselmans, Bart M. L., additional, Hofer, Edith, additional, Yang, Jingyun, additional, Okbay, Aysu, additional, Lind, Penelope A., additional, Miller, Mike B., additional, Nolte, Ilja M., additional, Zhao, Wei, additional, Hagenaars, Saskia P., additional, Hottenga, Jouke-Jan, additional, Matteson, Lindsay K., additional, Snieder, Harold, additional, Faul, Jessica D., additional, Hartman, Catharina A., additional, Boyle, Patricia A., additional, Tiemeier, Henning, additional, Mosing, Miriam A., additional, Pattie, Alison, additional, Davies, Gail, additional, Liewald, David C., additional, Schmidt, Reinhold, additional, De Jager, Philip L., additional, Heath, Andrew C., additional, Jokela, Markus, additional, Starr, John M., additional, Oldehinkel, Albertine J., additional, Johannesson, Magnus, additional, Cesarini, David, additional, Hofman, Albert, additional, Harris, Sarah E., additional, Smith, Jennifer A., additional, Keltikangas-Järvinen, Liisa, additional, Pulkki-Råback, Laura, additional, Schmidt, Helena, additional, Smith, Jacqui, additional, Iacono, William G., additional, McGue, Matt, additional, Bennett, David A., additional, Pedersen, Nancy L., additional, Magnusson, Patrik K. E., additional, Deary, Ian J., additional, Martin, Nicholas G., additional, Boomsma, Dorret I., additional, Bartels, Meike, additional, and Luciano, Michelle, additional

Published
2016
Full Text
View/download PDF

32. Smoking and caffeine consumption: a genetic analysis of their association

Author

Treur, Jorien L., primary, Taylor, Amy E., additional, Ware, Jennifer J., additional, Nivard, Michel G., additional, Neale, Michael C., additional, McMahon, George, additional, Hottenga, Jouke-Jan, additional, Baselmans, Bart M. L., additional, Boomsma, Dorret I., additional, Munafò, Marcus R., additional, and Vink, Jacqueline M., additional

Published
2016
Full Text
View/download PDF

33. Multivariate genome-wide analyses of the well-being spectrum

Author

Baselmans, Bart M. L., Jansen, Rick, Ip, Hill F., van Dongen, Jenny, Abdellaoui, Abdel, van de Weijer, Margot P., Bao, Yanchun, Smart, Melissa, Kumari, Meena, Willemsen, Gonneke, Hottenga, Jouke-Jan, Boomsma, Dorret I., de Geus, Eco J. C., Nivard, Michel G., and Bartels, Meike

Abstract

We introduce two novel methods for multivariate genome-wide-association meta-analysis (GWAMA) of related traits that correct for sample overlap. A broad range of simulation scenarios supports the added value of our multivariate methods relative to univariate GWAMA. We applied the novel methods to life satisfaction, positive affect, neuroticism, and depressive symptoms, collectively referred to as the well-being spectrum (Nobs= 2,370,390), and found 304 significant independent signals. Our multivariate approaches resulted in a 26% increase in the number of independent signals relative to the four univariate GWAMAs and in an ~57% increase in the predictive power of polygenic risk scores. Supporting transcriptome- and methylome-wide analyses (TWAS and MWAS, respectively) uncovered an additional 17 and 75 independent loci, respectively. Bioinformatic analyses, based on gene expression in brain tissues and cells, showed that genes differentially expressed in the subiculum and GABAergic interneurons are enriched in their effect on the well-being spectrum.

Published
2019
Full Text
View/download PDF

34. Distinguishing happiness and meaning in life from depressive symptoms: A GWAS‐by‐subtraction study in the UK Biobank

Author

Vries, Lianne P., Demange, Perline A., Baselmans, Bart M. L., Vinkers, Christiaan H., Pelt, Dirk H. M., and Bartels, Meike

Abstract

Hedonic (happiness) and eudaimonic (meaning in life) well‐being are negatively related to depressive symptoms. Genetic variants play a role in this association, reflected in substantial genetic correlations. We investigated the overlap and differences between well‐being and depressive symptoms, using results of Genome‐Wide Association studies (GWAS) in UK Biobank. Subtracting GWAS summary statistics of depressive symptoms from those of happiness and meaning in life, we obtained GWASs of respectively “pure” happiness (neffective= 216,497) and “pure” meaning (neffective= 102,300). For both, we identified one genome‐wide significant SNP (rs1078141 and rs79520962, respectively). After subtraction, SNP heritability reduced from 6.3% to 3.3% for pure happiness and from 6.2% to 4.2% for pure meaning. The genetic correlation between the well‐being measures reduced from 0.78 to 0.65. Pure happiness and pure meaning became genetically unrelated to traits strongly associated with depressive symptoms, including loneliness, and psychiatric disorders. For other traits, including ADHD, educational attainment, and smoking, the genetic correlations of well‐being versus pure well‐being changed substantially. GWAS‐by‐subtraction allowed us to investigate the genetic variance of well‐being unrelated to depressive symptoms. Genetic correlations with different traits led to new insights about this unique part of well‐being. Our results can be used as a starting point to test causal relationships with other variables, and design future well‐being interventions.

Published
2024
Full Text
View/download PDF

35. Epigenome-Wide Association Study of Wellbeing

Author

Baselmans, Bart M. L., primary, van Dongen, Jenny, additional, Nivard, Michel G., additional, Lin, Bochao D., additional, Consortium, BIOS, additional, Zilhão, Nuno R., additional, Boomsma, Dorret I., additional, and Bartels, Meike, additional

Published
2015
Full Text
View/download PDF

36. Epigenome-Wide Association Study of Aggressive Behavior.

Author

van Dongen, Jenny, Nivard, Michel G., Baselmans, Bart M. L., Zilhão, Nuno R., Ligthart, Lannie, Heijmans, Bastiaan T., Bartels, Meike, Boomsma, Dorret I., Craig, Jeff, Saffery, Richard, Zilhão, Nuno R, and BIOS Consortium

Subjects
AGGRESSION (Psychology), EPIGENETICS, DNA methylation, GENE expression, DEVELOPMENTAL genetics, BLOOD sampling, COMPARATIVE studies, GENES, RESEARCH methodology, MEDICAL cooperation, RESEARCH, RESEARCH funding, TWINS, EVALUATION research, SEQUENCE analysis
Abstract

Aggressive behavior is highly heritable, while environmental influences, particularly early in life, are also important. Epigenetic mechanisms, such as DNA methylation, regulate gene expression throughout development and adulthood, and may mediate genetic and environmental effects on complex traits. We performed an epigenome-wide association study (EWAS) to identify regions in the genome where DNA methylation level is associated with aggressive behavior. Subjects took part in longitudinal survey studies from the Netherlands Twin Register (NTR) and participated in the NTR biobank project between 2004 and 2011 (N = 2,029, mean age at blood sampling = 36.4 years, SD = 12.4, females = 69.2%). Aggressive behavior was rated with the ASEBA Adult Self-Report (ASR). DNA methylation was measured in whole blood by the Illumina HM450k array. The association between aggressive behavior and DNA methylation level at 411,169 autosomal sites was tested. Association analyses in the entire cohort showed top sites at cg01792876 (chr8; 116,684,801, nearest gene = TRPS1, p = 7.6 × 10−7, False discovery rate (FDR) = 0.18) and cg06092953 (chr18; 77,905,699, nearest gene = PARD6G-AS1, p = 9.0 ×10−7, FDR = 0.18). Next, we compared methylation levels in 20 pairs of monozygotic (MZ) twins highly discordant for aggression. Here the top sites were cg21557159 (chr 11; 107,795,699, nearest gene = RAB39, p = 5.7 × 10−6, FDR = 0.99), cg08648367 (chr 19; 51,925,472, nearest gene = SIGLEC10, p = 7.6 × 10−6, FDR = 0.99), and cg14212412 (chr 6; 105,918,992, nearest gene = PREP, p = 8.0 × 10−6, FDR = 0.99). The two top hits based on the entire cohort showed the same direction of effect in discordant MZ pairs (cg01792876, Pdiscordant twins = 0.09 and cg06092953, Pdiscordant twins = 0.24). The other way around, two of the three most significant sites in discordant MZ pairs showed the same direction of effect in the entire cohort (cg08648367, Pentire EWAS = 0.59 and cg14212412, Pentire EWAS = 3.1 × 10−3). Gene ontology analysis highlighted significant enrichment of various central nervous system categories among higher-ranking methylation sites. Higher-ranking methylation sites also showed enrichment for DNase I hypersensitive sites and promoter regions, showing that DNA methylation in peripheral tissues is likely to be associated with aggressive behavior. [ABSTRACT FROM PUBLISHER]

Published
2015
Full Text
View/download PDF

37. Epigenome-Wide Association Study of Tic Disorders.

Author

Zilhão, Nuno R., Padmanabhuni, Shanmukha S., Pagliaroli, Luca, Barta, Csaba, Smit, Dirk J. A., Cath, Danielle, Nivard, Michel G., Baselmans, Bart M. L., van Dongen, Jenny, Paschou, Peristera, Boomsma, Dorret I., Craig, Jeff, Saffery, Richard, Zilhão, Nuno R, and BIOS Consortium

Subjects
TIC disorders, EPIGENETICS, BIOBANKS, SELF-evaluation, DNA methylation, ACQUISITION of data, THERAPEUTICS, COMPARATIVE studies, GENES, RESEARCH methodology, MEDICAL cooperation, RESEARCH, SYMPTOMS, EVALUATION research, SEQUENCE analysis
Abstract

Tic disorders are moderately heritable common psychiatric disorders that can be highly troubling, both in childhood and in adulthood. In this study, we report results obtained in the first epigenome-wide association study (EWAS) of tic disorders. The subjects are participants in surveys at the Netherlands Twin Register (NTR) and the NTR biobank project. Tic disorders were measured with a self-report version of the Yale Global Tic Severity Scale Abbreviated version (YGTSS-ABBR), included in the 8th wave NTR data collection (2008). DNA methylation data consisted of 411,169 autosomal methylation sites assessed by the Illumina Infinium HumanMethylation450 BeadChip Kit (HM450k array). Phenotype and DNA methylation data were available in 1,678 subjects (mean age = 41.5). No probes reached genome-wide significance (p < 1.2 × 10−7). The strongest associated probe was cg15583738, located in an intergenic region on chromosome 8 (p = 1.98 × 10−6). Several of the top ranking probes (p < 1 × 10−4) were in or nearby genes previously associated with neurological disorders (e.g., GABBRI, BLM, and ADAM10), warranting their further investigation in relation to tic disorders. The top significantly enriched gene ontology (GO) terms among higher ranking methylation sites included anatomical structure morphogenesis (GO:0009653, p = 4.6 × 10−15) developmental process (GO:0032502, p = 2.96 × 10−12), and cellular developmental process (GO:0048869, p = 1.96 × 10−12). Overall, these results provide a first insight into the epigenetic mechanisms of tic disorders. This first study assesses the role of DNA methylation in tic disorders, and it lays the foundations for future work aiming to unravel the biological mechanisms underlying the architecture of this disorder. [ABSTRACT FROM PUBLISHER]

Published
2015
Full Text
View/download PDF

38. Genetic associations with subjective well-being also implicate depression and neuroticism

Author

Okbay, Aysu, Baselmans, Bart M. L., De Neve, Jan-Emmanuel, Turley, Patrick Ansel, Nivard, Michel G., Fontana, Mark A., Meddens, Fleur S. W., Linnér, Richard Karlsson, Rietveld, Cornelius A., Derringer, Jaime, Gratten, Jacob, Lee, James J., Liu, Jimmy Z., de Vlaming, Ronald, Conley, Dalton C., Smith, George Davey, Hofman, Albert, Johannesson, Magnus, Laibson, David I., Medland, Sarah E., Meyer, Michelle N., Pickrell, Joseph, Esko, Tonu, Krueger, Robert F., Beauchamp, Jonathan Pierre, Koellinger, Philipp D., Benjamin, Daniel J., Bartels, Meike, Cesarini, David, Benjamin, Daniel, and Koellinger, Philipp

Abstract

We conducted a genome-wide association study of subjective well-being (SWB) in 298,420 individuals. We also performed auxiliary analyses of depressive symptoms (“DS”; N = 161,460) and neuroticism (N = 170,910), both of which have a substantial genetic correlation with SWB (휌̂≈−0.8). We identify three SNPs associated with SWB at genome-wide significance. Two of them are significantly associated with DS in an independent sample. In our auxiliary analyses, we identify 13 additional genome-wide-significant associations: two with DS and eleven with neuroticism, including two inversion polymorphisms. Across our phenotypes, loci regulating expression in central nervous system and adrenal/pancreas tissues are enriched. The discovery of genetic loci associated with the three phenotypes we study has proven elusive; our findings illustrate the payoffs from studying them jointly.

Published
2016
Full Text
View/download PDF

39. DNA methylation signatures of a broad spectrum of aggressive behavior: a meta-analysis of epigenome-wide studies across the lifespan

Author

Dongen, Jenny, Hagenbeek, Fiona A., Suderman, Matthew, Roetman, Peter, Sugden, Karen, Chiocchetti, Andreas G., Ismail, Khadeeja, Mulder, Rosa H., Hafferty, Jonathan, Adams, Mark J., Walker, Rosie M., Morris, Stewart W., Lahti, Jari, Kupers, Leanne K., Escaramis, Georgia, Alemany, Silvia, Bonder, Marc Jan, Meijer, Mandy, Ip, Hill F., Jansen, Rick, Baselmans, Bart M. L., Parmar, Priyanka, Lowry, Estelle, Streit, Fabian, Sirignano, Lea, Send, Tabea, Frank, Josef, Jylhava, Juulia, Wang, Yunzhang, Mishra, Pashupati Prasad, Colins, Olivier F., Corcoran, David, Poulton, Richie, Jonathan Mill, Hannon, Eilis J., Arseneault, Louise, Korhonen, Tellervo, Vuoksimaa, Eero, Felix, Janine, Bakermans-Kranenburg, Marian, Campbell, Archie, Czamara, Darina, Binder, Elisabeth, Corpeleijn, Eva, Ramon Gonzalez, Juan, Grazuleviciene, Regina, Gutzkow, Kristine B., Evandt, Jorunn, Vafeiadi, Marina, Klein, Marieke, Meer, Dennis, Ligthart, Lannie, Kluft, Cornelis, Davies, Gareth E., Hakulinen, Christian, Keltikangas-Jarvinen, Liisa, Franke, Barbara, Freitag, Christine M., Konrad, Kerstin, Hervas, Amaia, Fernandez-Rivas, Aranzazu, Vetro, Agnes, Raitakari, Olli, Lehtimaki, Terho, Vermeiren, Robert, Strandberg, Timo, Raikkonen, Katri, Snieder, Harold, Witt, Stephanie H., Deuschle, Michael, Pedersen, Nancy L., Hagg, Sara, Sunyer, Jordi, Franke, Lude, Kaprio, Jaakko, Ollikainen, Miina, Moffitt, Terrie E., Tiemeier, Henning, Ijzendoorn, Marinus H., Relton, Caroline, Vrijheid, Martine, Sebert, Sylvain, Jarvelin, Marjo-Riitta, Caspi, Avshalom, Evans, Kathryn L., Mcintosh, Andrew M., Bartels, Meike, Boomsma, Dorret, Biological Psychology, APH - Mental Health, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, APH - Methodology, and Amsterdam Reproduction & Development

40. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses (vol 48, pg 624, 2016)

Author

Okbay, Aysu, Baselmans, Bart M. L., Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G., Fontana, Mark Alan, Meddens, S. Fleur W., Linner, Richard Karlsson, Rietveld, Cornelius A., Derringer, Jaime, Gratten, Jacob, Lee, James J., Liu, Jimmy Z., Vlaming, Ronald, Ahluwalia, Tarunveer S., Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C., Furlotte, Nicholas A., Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R., Haitjema, Saskia, Karlsson, Robert, Laan, Sander W., Ladwig, Karl-Heinz, Jari Lahti, Lee, Sven J., Lind, Penelope A., Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B., Minica, Camelia C., Nolte, Ilja M., Mook-Kanamori, Dennis, Most, Peter J., Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Borge, Smith, Albert V., Stergiakouli, Evie, Tanaka, Toshiko, Taylor, Kent, Thorleifsson, Gudmar, Wedenoja, Juho, Wellmann, Juergen, Westra, Harm-Jan, Willems, Sara M., Zhao, Wei, Amin, Najaf, Bakshi, Andrew, Bergmann, Sven, Bjornsdottir, Gyda, Boyle, Patricia A., Cherney, Samantha, Cox, Simon R., Davies, Gail, Davis, Oliver S. P., Ding, Jun, Direk, Nese, Eibich, Peter, Emeny, Rebecca T., Fatemifar, Ghazaleh, Faul, Jessica D., Ferrucci, Luigi, Forstner, Andreas J., Gieger, Christian, Gupta, Richa, Harris, Tamara B., Harris, Juliette M., Holliday, Elizabeth G., Hottenga, Jouke-Jan, Jager, Philip L., Kaakinen, Marika A., Kajantie, Eero, Karhunen, Ville, Kolcic, Ivana, Kumari, Meena, Launer, Lenore J., Franke, Lude, Li-Gao, Ruifang, Liewald, David C., Koini, Marisa, Loukola, Anu, Marques-Vidal, Pedro, Montgomery, Grant W., Mosing, Miriam A., Paternoster, Lavinia, Pattie, Alison, Petrovic, Katja E., Pulkki-Raback, Laura, Quaye, Lydia, Raikkonen, Katri, Rudan, Igor, Scott, Rodney J., Smith, Jennifer A., Sutin, Angelina R., Trzaskowski, Maciej, Vinkhuyzen, Anna E., Yu, Lei, Zabaneh, Delilah, Attia, John R., Bennett, David A., Berger, Klaus, Bertram, Lars, Boomsma, Dorret I., Snieder, Harold, Chang, Shun-Chiao, Cucca, Francesco, Deary, Ian J., Duijn, Cornelia M., Eriksson, Johan G., Bultmann, Ute, Geus, Eco J. C., Groenen, Patrick J. F., Gudnason, Vilmundur, Hansen, Torben, Hartman, Catharine A., Haworth, Claire M. A., Hayward, Caroline, Heath, Andrew C., Hinds, David A., Hypponen, Elina, Iacono, William G., Jarvelin, Marjo-Riitta, Jokel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Keltikangas-Jarvinen, Liisa, Kraft, Peter, Kubzansky, Laura D., Lehtimaki, Terho, Magnusson, Patrik K. E., Martin, Nicholas G., Mcgue, Matt, Metspalu, Andres, Mills, Melinda, Mutsert, Renee, Oldehinkel, Albertine J., Pasterkamp, Gerard, Pedersen, Nancy L., Plomin, Robert, Polasek, Ozren, Power, Christine, Rich, Stephen S., Rosendaal, Frits R., Den Ruijter, Hester M., Schlessinger, David, Schmidt, Helena, Svento, Rauli, Schmidt, Reinhold, Alizadeh, Behrooz Z., Sorensen, Thorkild I. A., Spector, Tim D., Starr, John M., Stefansson, Kari, Steptoe, Andrew, Terracciano, Antonio, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, Andre G., Vollenweider, Peter, Wagner, Gert G., Weir, David R., Yang, Jian, Conley, Dalton C., Smith, George Davey, Hofman, Albert, Johannesson, Magnus, Laibson, David I., Medland, Sarah E., Meyer, Michelle N., Pickrell, Joseph K., Esko, Tonu, Krueger, Robert F., Beauchamp, Jonathan P., Koellinger, Philipp D., Benjamin, Daniel J., Bartels, Meike, Cesarini, David, and Lifelines Cohort, Study

41. Genetic evidence for a large overlap and potential bidirectional causal effects between resilience and well-being.

Author

de Vries LP, Baselmans BML, Luykx JJ, de Zeeuw EL, Minică CC, de Geus EJC, Vinkers CH, and Bartels M

Abstract

Resilience and well-being are strongly related. People with higher levels of well-being are more resilient after stressful life events or trauma and vice versa. Less is known about the underlying sources of overlap and causality between the constructs. In a sample of 11.304 twins and 2.572 siblings from the Netherlands Twin Register, we investigated the overlap and possible direction of causation between resilience (i.e. the absence of psychiatric symptoms despite negative life events) and well-being (i.e. satisfaction with life) using polygenic score (PGS) prediction, twin-sibling modelling, and the Mendelian Randomization Direction of Causality (MR-DoC) model. Longitudinal twin-sibling models showed significant phenotypic correlations between resilience and well-being (.41/.51 at time 1 and 2). Well-being PGS were predictive for both well-being and resilience, indicating that genetic factors influencing well-being also predict resilience. Twin-sibling modeling confirmed this genetic correlation (0.71) and showed a strong environmental correlation (0.93). In line with causality, both genetic (51%) and environmental (49%) factors contributed significantly to the covariance between resilience and well-being. Furthermore, the results of within-subject and MZ twin differences analyses were in line with bidirectional causality. Additionally, we used the MR-DoC model combining both molecular and twin data to test causality, while correcting for pleiotropy. We confirmed the causal effect from well-being to resilience, with the direct effect of well-being explaining 11% (T1) and 20% (T2) of the variance in resilience. Data limitations prevented us to test the directional effect from resilience to well-being with the MR-DoC model. To conclude, we showed a strong relation between well-being and resilience. A first attempt to quantify the direction of this relationship points towards a bidirectional causal effect. If replicated, the potential mutual effects can have implications for interventions to lower psychopathology vulnerability, as resilience and well-being are both negatively related to psychopathology., Competing Interests: Lianne de Vries, Bart Baselmans, Jurjen Luykx, Eveline de Zeeuw, Camelia Minica, Eco de Geus, Christiaan Vinkers and Meike Bartels declare no conflict of interest., (© 2021 The Authors.)

Published
2021
Full Text
View/download PDF

42. Risk in Relatives, Heritability, SNP-Based Heritability, and Genetic Correlations in Psychiatric Disorders: A Review.

Author

Baselmans BML, Yengo L, van Rheenen W, and Wray NR

Subjects
Child, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Schizophrenia epidemiology, Schizophrenia genetics
Abstract

The genetic contribution to psychiatric disorders is observed through the increased rates of disorders in the relatives of those diagnosed with disorders. These increased rates are observed to be nonspecific; for example, children of those with schizophrenia have increased rates of schizophrenia but also a broad range of other psychiatric diagnoses. While many factors contribute to risk, epidemiological evidence suggests that the genetic contribution carries the highest risk burden. The patterns of inheritance are consistent with a polygenic architecture of many contributing risk loci. The genetic studies of the past decade have provided empirical evidence identifying thousands of DNA variants associated with psychiatric disorders. Here, we describe how these latest results are consistent with observations from epidemiology. We provide an R tool (CHARRGe) to calculate genetic parameters from epidemiological parameters and vice versa. We discuss how the single nucleotide polymorphism-based estimates of heritability and genetic correlation relate to those estimated from family records., (Copyright © 2020 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

Published
2021
Full Text
View/download PDF

43. Corrigendum: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses.

Author

Okbay A, Baselmans BM, De Neve JE, Turley P, Nivard MG, Fontana MA, Meddens SF, Linnér RK, Rietveld CA, Derringer J, Gratten J, Lee JJ, Liu JZ, de Vlaming R, Ahluwalia TS, Buchwald J, Cavadino A, Frazier-Wood AC, Furlotte NA, Garfield V, Geisel MH, Gonzalez JR, Haitjema S, Karlsson R, van der Laan SW, Ladwig KH, Lahti J, van der Lee SJ, Lind PA, Liu T, Matteson L, Mihailov E, Miller MB, Minica CC, Nolte IM, Mook-Kanamori D, van der Most PJ, Oldmeadow C, Qian Y, Raitakari O, Rawal R, Realo A, Rueedi R, Schmidt B, Smith AV, Stergiakouli E, Tanaka T, Taylor K, Thorleifsson G, Wedenoja J, Wellmann J, Westra HJ, Willems SM, Zhao W, Amin N, Bakshi A, Bergmann S, Bjornsdottir G, Boyle PA, Cherney S, Cox SR, Davies G, Davis OS, Ding J, Direk N, Eibich P, Emeny RT, Fatemifar G, Faul JD, Ferrucci L, Forstner AJ, Gieger C, Gupta R, Harris TB, Harris JM, Holliday EG, Hottenga JJ, De Jager PL, Kaakinen MA, Kajantie E, Karhunen V, Kolcic I, Kumari M, Launer LJ, Franke L, Li-Gao R, Liewald DC, Koini M, Loukola A, Marques-Vidal P, Montgomery GW, Mosing MA, Paternoster L, Pattie A, Petrovic KE, Pulkki-Råback L, Quaye L, Räikkönen K, Rudan I, Scott RJ, Smith JA, Sutin AR, Trzaskowski M, Vinkhuyzen AE, Yu L, Zabaneh D, Attia JR, Bennett DA, Berger K, Bertram L, Boomsma DI, Snieder H, Chang SC, Cucca F, Deary IJ, van Duijn CM, Eriksson JG, Bültmann U, de Geus EJ, Groenen PJ, Gudnason V, Hansen T, Hartman CA, Haworth CM, Hayward C, Heath AC, Hinds DA, Hyppönen E, William WG, Järvelin MR, Jöckel KH, Kaprio J, Kardia SL, Keltikangas-Järvinen L, Kraft P, Kubzansky LD, Lehtimäki T, Magnusson PK, Martin NG, McGue M, Metspalu A, Mills M, de Mutsert R, Oldehinkel AJ, Pasterkamp G, Pedersen NL, Plomin R, Polasek O, Power C, Rich SS, Rosendaal FR, den Ruijter HM, Schlessinger D, Schmidt H, Svento R, Schmidt R, Alizadeh BZ, Sørensen TI, Spector TD, Starr JM, Stefansson K, Steptoe A, Terracciano A, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tiemeier H, Uitterlinden AG, Vollenweider P, Wagner GG, Weir DR, Yang J, Conley DC, Smith GD, Hofman A, Johannesson M, Laibson DI, Medland SE, Meyer MN, Pickrell JK, Esko T, Krueger RF, Beauchamp JP, Koellinger PD, Benjamin DJ, Bartels M, and Cesarini D

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results