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11 results on '"Baselmans, Bart M.L."'

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

Author

Hagenbeek, Fiona A., Suderman, Matthew, van Dongen, Jenny, 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., Felix, Janine F., Ligthart, Lannie, van Meurs, Joyce, Hottenga, Jouke J., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, André G., Verbiest, Michael, Verkerk, Marijn, van Rooij, Jeroen, van Dijk, Freerk, Tiemeier, Henning, van IJzendoorn, Marinus H., Bartels, Meike, Hagenbeek, Fiona A., Suderman, Matthew, van Dongen, Jenny, 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., Felix, Janine F., Ligthart, Lannie, van Meurs, Joyce, Hottenga, Jouke J., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, André G., Verbiest, Michael, Verkerk, Marijn, van Rooij, Jeroen, van Dijk, Freerk, Tiemeier, Henning, van IJzendoorn, Marinus H., and Bartels, Meike

Abstract

DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 × 10−7; Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r = 0.74, p = 0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripheral blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range = 3–82%) of the aggression–methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.

Published
2021

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

Author

Onderzoek, Brain, MS Neonatologie, de Vries, Lianne P., Baselmans, Bart M.L., Luykx, Jurjen J., de Zeeuw, Eveline L., Minică, Camelia C., de Geus, Eco J.C., Vinkers, Christiaan H., Bartels, Meike, Onderzoek, Brain, MS Neonatologie, de Vries, Lianne P., Baselmans, Bart M.L., Luykx, Jurjen J., de Zeeuw, Eveline L., Minică, Camelia C., de Geus, Eco J.C., Vinkers, Christiaan H., and Bartels, Meike

Published
2021

8. 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, Adolescent development: Characteristics and determinants, and Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE)

Subjects
Adult, Male, Marijuana Abuse, Adolescent, Genotype, Gene Expression Regulation/genetics, Polymorphism, Single Nucleotide, 23andMe Research Team, Article, Schizophrenia/chemically induced, Marijuana Abuse/genetics, Young Adult, Risk-Taking, Databases, Genetic, Taverne, Humans, International Cannabis Consortium, Genetic Predisposition to Disease, Aged, Aged, 80 and over, Mendelian Randomization Analysis, Middle Aged, Mental Health, Gene Expression Regulation, Schizophrenia, Substance Use Disorders Working Group of the Psychiatric Genomics Consortium, Female, Cell Adhesion Molecules/genetics, Cell Adhesion Molecules, Genome-Wide Association Study
Abstract

© 2018, The Author(s). 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
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9. Genetic overlap between schizophrenia and developmental psychopathology: a longitudinal approach applied to common childhood disorders between age 7 and 15 years

Author

Nivard, Michel G., primary, Gage, Suzanne H., additional, Hottenga, Jouke J., additional, van Beijsterveldt, Catherina E.M., additional, Abdellaoui, Abdel, additional, Baselmans, Bart M.L., additional, Ligthart, Lannie, additional, St Pourcain, Beate, additional, Boomsma, Dorret I., additional, Munafoò, Marcus M., additional, and Middeldorp, Christel M., additional

Published
2016
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10. Novel genetic loci for neuroticism and depression identified using subjective well-being as a proxy-phenotype

Author

Okbay, Aysu, Baselmans, Bart M.L., De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G., Fontana, Mark, Meddens, Fleur, Linner, Richard Karlsson, Rietveld, Cornelius, Krueger, Bob, Beauchamp, Jonathan, Koellinger, Philipp, Benjamin, Daniel, Bartels, Meike, Cesarini, David, Complex Trait Genetics, Biological Psychology, and EMGO+ - Mental Health

Published
2016
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11. 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, Taylor, Kent, Wedenoja, Juho, Wellmann, Juergen, Westra, Harm-Jan, Willems, Sara M., Zhao, Wei, Amin, Najaf, Bakshi, Andrew, 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, Gieger, Christian, Gupta, Richa, Harris, Tamara B., Harris, Juliette M., Holliday, Elizabeth G., Hottenga, Jouke-Jan, De Jager, Philip L., Kaakinen, Marika A., Kajantie, Eero, Karhunen, Ville, Kolcic, Ivana, Kumari, Meena, Launer, Lenore J., Franke, Lude, Li-Gao, Ruifang, Koini, Marisa, Loukola, Anu, Marques-Vidal, Pedro, Montgomery, Grant W., Mosing, Miriam A., Paternoster, Lavinia, Pattie, Alison, Petrovic, Katja E., Pulkki-Råback, Laura, Quaye, Lydia, Räikkönen, 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., van Duijn, Cornelia M., Eriksson, Johan G., Bültmann, Ute, de 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., Hyppönen, Elina, Iacono, William G., Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L.R., Keltikangas-Järvinen, Liisa, Kraft, Peter, Kubzansky, Laura D., Lehtimäki, Terho, Magnusson, Patrik K.E., Martin, Nicholas G., McGue, Matt, Metspalu, Andres, Mills, Melinda, de Mutsert, Renée, 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., Sørensen, Thorkild I.A., Spector, Tim D., Steptoe, Andrew, Terracciano, Antonio, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, André 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, Tõnu, Krueger, Robert F., Beauchamp, Jonathan P., Koellinger, Philipp D., Benjamin, Daniel J., Bartels, Meike, and Cesarini, David

Abstract

We conducted genome-wide association studies of three phenotypes: subjective well-being (N = 298,420), depressive symptoms (N = 161,460), and neuroticism (N = 170,910). We identified three variants associated with subjective well-being, two with depressive symptoms, and eleven with neuroticism, including two inversion polymorphisms. The two depressive symptoms loci replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ̂| ≈ 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/pancreas tissues are strongly enriched for association.

Published
2016
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