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4. Genetic association study of childhood aggression across raters, instruments, and age.

Author

Ip, Hill, van der Laan, Camiel, Krapohl, Eva, Brikell, Isabell, Sánchez-Mora, Cristina, Nolte, Ilja, St Pourcain, Beate, Bolhuis, Koen, Palviainen, Teemu, Zafarmand, Hadi, Colodro-Conde, Lucía, Gordon, Scott, Zayats, Tetyana, Aliev, Fazil, Jiang, Chang, Wang, Carol, Saunders, Gretchen, Karhunen, Ville, Hammerschlag, Anke, Adkins, Daniel, Border, Richard, Peterson, Roseann, Prinz, Joseph, Thiering, Elisabeth, Seppälä, Ilkka, Vilor-Tejedor, Natàlia, Ahluwalia, Tarunveer, Day, Felix, Hottenga, Jouke-Jan, Allegrini, Andrea, Rimfeld, Kaili, Chen, Qi, Lu, Yi, Martin, Joanna, Soler Artigas, María, Rovira, Paula, Bosch, Rosa, Español, Gemma, Ramos Quiroga, Josep, Neumann, Alexander, Ensink, Judith, Grasby, Katrina, Morosoli, José, Tong, Xiaoran, Marrington, Shelby, Middeldorp, Christel, Scott, James, Vinkhuyzen, Anna, Shabalin, Andrey, Corley, Robin, Evans, Luke, Sugden, Karen, Alemany, Silvia, Sass, Lærke, Vinding, Rebecca, Ruth, Kate, Tyrrell, Jess, Davies, Gareth, Ehli, Erik, Hagenbeek, Fiona, De Zeeuw, Eveline, Van Beijsterveldt, Toos, Larsson, Henrik, Snieder, Harold, Verhulst, Frank, Amin, Najaf, Whipp, Alyce, Korhonen, Tellervo, Vuoksimaa, Eero, Rose, Richard, Uitterlinden, André, Heath, Andrew, Madden, Pamela, Haavik, Jan, Harris, Jennifer, Helgeland, Øyvind, Johansson, Stefan, Knudsen, Gun, Njolstad, Pal, Lu, Qing, Rodriguez, Alina, Henders, Anjali, Mamun, Abdullah, Najman, Jackob, Brown, Sandy, Hopfer, Christian, Krauter, Kenneth, Reynolds, Chandra, Smolen, Andrew, Stallings, Michael, Wadsworth, Sally, Wall, Tamara, Silberg, Judy, Miller, Allison, Keltikangas-Järvinen, Liisa, Hakulinen, Christian, Pulkki-Råback, Laura, Havdahl, Alexandra, Magnus, Per, and Raitakari, Olli

Subjects
Adolescent, Aggression, Child, Child, Preschool, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Infant, Mental Disorders, Retrospective Studies
Abstract

Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE = 0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three significant genes: ST3GAL3 (P = 1.6E-06), PCDH7 (P = 2.0E-06), and IPO13 (P = 2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from rg = 0.46 between self- and teacher-assessment to rg = 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range [Formula: see text]: 0.19-1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (rg = ~-0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range [Formula: see text]: 0.46-0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.

Published
2021

7. Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits

Author

Sun, Daokun, Richard, Melissa A, Musani, Solomon K, Sung, Yun Ju, Winkler, Thomas W, Schwander, Karen, Chai, Jin Fang, Guo, Xiuqing, Kilpeläinen, Tuomas O, Vojinovic, Dina, Aschard, Hugues, Bartz, Traci M, Bielak, Lawrence F, Brown, Michael R, Chitrala, Kumaraswamy, Hartwig, Fernando P, Horimoto, Andrea RVR, Liu, Yongmei, Manning, Alisa K, Noordam, Raymond, Smith, Albert V, Harris, Sarah E, Kühnel, Brigitte, Lyytikäinen, Leo-Pekka, Nolte, Ilja M, Rauramaa, Rainer, van der Most, Peter J, Wang, Rujia, Ware, Erin B, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Arking, Dan E, Arnett, Donna K, Barac, Ana, Boerwinkle, Eric, Broeckel, Ulrich, Chakravarti, Aravinda, Chen, Yii-Der Ida, Cupples, L Adrienne, Davigulus, Martha L, de las Fuentes, Lisa, de Mutsert, Renée, de Vries, Paul S, Delaney, Joseph AC, Roux, Ana V Diez, Dörr, Marcus, Faul, Jessica D, Fretts, Amanda M, Gallo, Linda C, Grabe, Hans Jörgen, Gu, C Charles, Harris, Tamara B, Hartman, Catharina CA, Heikkinen, Sami, Ikram, M Arfan, Isasi, Carmen, Johnson, W Craig, Jonas, Jost Bruno, Kaplan, Robert C, Komulainen, Pirjo, Krieger, Jose E, Levy, Daniel, Study, Lifelines Cohort, Liu, Jianjun, Lohman, Kurt, Luik, Annemarie I, Martin, Lisa W, Meitinger, Thomas, Milaneschi, Yuri, O’Connell, Jeff R, Palmas, Walter R, Peters, Annette, Peyser, Patricia A, Pulkki-Råback, Laura, Raffel, Leslie J, Reiner, Alex P, Rice, Kenneth, Robinson, Jennifer G, Rosendaal, Frits R, Schmidt, Carsten Oliver, Schreiner, Pamela J, Schwettmann, Lars, Shikany, James M, Shu, Xiao-ou, Sidney, Stephen, Sims, Mario, Smith, Jennifer A, Sotoodehnia, Nona, Strauch, Konstantin, Tai, E Shyong, Taylor, Kent D, Uitterlinden, André G, van Duijn, Cornelia M, Waldenberger, Melanie, Wee, Hwee-Lin, Wei, Wen-Bin, Wilson, Gregory, Xuan, Deng, and Yao, Jie

Subjects
Hypertension, Mental Health, Genetics, Cardiovascular, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Lifelines Cohort Study
Abstract

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value

Published
2021

12. Three genetic–environmental networks for human personality

Author

Zwir, Igor, Del-Val, Coral, Arnedo, Javier, Pulkki-Råback, Laura, Konte, Bettina, Yang, Sarah S., Romero-Zaliz, Rocio, Hintsanen, Mirka, Cloninger, Kevin M., Garcia, Danilo, Svrakic, Dragan M., Lester, Nigel, Rozsa, Sandor, Mesa, Alberto, Lyytikäinen, Leo-Pekka, Giegling, Ina, Kähönen, Mika, Martinez, Maribel, Seppälä, Ilkka, Raitoharju, Emma, de Erausquin, Gabriel A., Mamah, Daniel, Raitakari, Olli, Rujescu, Dan, Postolache, Teodor T., Gu, C. Charles, Sung, Joohon, Lehtimäki, Terho, Keltikangas-Järvinen, Liisa, and Cloninger, C. Robert

Published
2021
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14. Parent-Child-Relationship Quality Predicts Offspring Dispositional Compassion in Adulthood: A Prospective Follow-Up Study over Three Decades

Author

Hintsanen, Mirka, Gluschkoff, Kia, Dobewall, Henrik, Cloninger, C. Robert, Keltner, Dacher, Saarinen, Aino, Wesolowska, Karolina, Volanen, Salla-Maarit, Raitakari, Olli T., and Pulkki-Råback, Laura

Abstract

Compassion is known to predict prosocial behavior and moral judgments related to harm. Despite the centrality of compassion to social life, factors predicting adulthood compassion are largely unknown. We examined whether qualities of parent-child-relationship, namely, emotional warmth and acceptance, predict offspring compassion decades later in adulthood. We used data from the prospective population-based Young Finns Study. Our sample included 2,761 participants (55.5% women). Parent-child-relationship qualities were reported by each participant's parents at baseline in 1980 (T0) when participants were between 3 and 18 years old. Compassion was self-reported 3 times: in 1997 (T1), 2001 (T2), and 2012 (T3) with the Temperament and Character Inventory (Cloninger, Przybeck, Svrakic, & Wetzel, 1994). By using age at the assessment as a time-variant variable, we applied multilevel modeling for repeated measurements to examine developmental trajectories of compassion from the ages of 20 (the age of the youngest cohort at T1) to 50 (the age of the oldest cohort at T3). On average, compassion increased in a curvilinear pattern with age. Higher acceptance (p = 0.013) and higher emotional warmth (p < 0.001) were related to higher compassion in adulthood. After adjusting for childhood confounds (i.e., participant gender, birth cohort, externalizing behavior, parental socioeconomic status, and parental mental health problems), only emotional warmth (p < 0.001) remained a significant predictor of compassion. Quality of the parent-child-relationship has long-term effects on offspring compassion. An emotionally warm and close relationship, in particular, may contribute to higher offspring compassion in adulthood.

Published
2019
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18. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Author

Okbay, Aysu, Baselmans, Bart ML, 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, 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 SP, 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, De 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-Råback, Laura, Quaye, Lydia, Räikkönen, Katri, Rudan, Igor, and Scott, Rodney J

Subjects
Biological Sciences, Genetics, Mental Health, Human Genome, Depression, Anxiety Disorders, Bayes Theorem, Genome-Wide Association Study, Humans, Neuroticism, Phenotype, Polymorphism, Single Nucleotide, LifeLines Cohort Study, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
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

19. Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium

Author

van den Berg, Stéphanie M, de Moor, Marleen HM, Verweij, Karin JH, Krueger, Robert F, Luciano, Michelle, Arias Vasquez, Alejandro, Matteson, Lindsay K, Derringer, Jaime, Esko, Tõnu, Amin, Najaf, Gordon, Scott D, Hansell, Narelle K, Hart, Amy B, Seppälä, Ilkka, Huffman, Jennifer E, Konte, Bettina, Lahti, Jari, Lee, Minyoung, Miller, Mike, Nutile, Teresa, Tanaka, Toshiko, Teumer, Alexander, Viktorin, Alexander, Wedenoja, Juho, Abdellaoui, Abdel, Abecasis, Goncalo R, Adkins, Daniel E, Agrawal, Arpana, Allik, Jüri, Appel, Katja, Bigdeli, Timothy B, Busonero, Fabio, Campbell, Harry, Costa, Paul T, Smith, George Davey, Davies, Gail, de Wit, Harriet, Ding, Jun, Engelhardt, Barbara E, Eriksson, Johan G, Fedko, Iryna O, Ferrucci, Luigi, Franke, Barbara, Giegling, Ina, Grucza, Richard, Hartmann, Annette M, Heath, Andrew C, Heinonen, Kati, Henders, Anjali K, Homuth, Georg, Hottenga, Jouke-Jan, Iacono, William G, Janzing, Joost, Jokela, Markus, Karlsson, Robert, Kemp, John P, Kirkpatrick, Matthew G, Latvala, Antti, Lehtimäki, Terho, Liewald, David C, Madden, Pamela AF, Magri, Chiara, Magnusson, Patrik KE, Marten, Jonathan, Maschio, Andrea, Mbarek, Hamdi, Medland, Sarah E, Mihailov, Evelin, Milaneschi, Yuri, Montgomery, Grant W, Nauck, Matthias, Nivard, Michel G, Ouwens, Klaasjan G, Palotie, Aarno, Pettersson, Erik, Polasek, Ozren, Qian, Yong, Pulkki-Råback, Laura, Raitakari, Olli T, Realo, Anu, Rose, Richard J, Ruggiero, Daniela, Schmidt, Carsten O, Slutske, Wendy S, Sorice, Rossella, Starr, John M, St Pourcain, Beate, Sutin, Angelina R, Timpson, Nicholas J, Trochet, Holly, Vermeulen, Sita, Vuoksimaa, Eero, Widen, Elisabeth, Wouda, Jasper, Wright, Margaret J, Zgaga, Lina, Generation Scotland, Porteous, David, Minelli, Alessandra, and Palmer, Abraham A

Subjects
Biological Psychology, Epidemiology, Health Sciences, Psychology, Genetics, Human Genome, Prevention, 2.1 Biological and endogenous factors, Generic health relevance, Cohort Studies, Extraversion, Psychological, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Personality, Polymorphism, Single Nucleotide, Risk Factors, Generation Scotland, Common genetic variants, Imputation, Phenotype harmonization, Polygenic risk, Zoology, Neurosciences, Genetics & Heredity, Biomedical and clinical sciences, Health sciences
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.

Published
2016

21. Uncovering the complex genetics of human temperament

Author

Zwir, Igor, Arnedo, Javier, Del-Val, Coral, Pulkki-Råback, Laura, Konte, Bettina, Yang, Sarah S., Romero-Zaliz, Rocio, Hintsanen, Mirka, Cloninger, Kevin M., Garcia, Danilo, Svrakic, Dragan M., Rozsa, Sandor, Martinez, Maribel, Lyytikäinen, Leo-Pekka, Giegling, Ina, Kähönen, Mika, Hernandez-Cuervo, Helena, Seppälä, Ilkka, Raitoharju, Emma, de Erausquin, Gabriel A., Raitakari, Olli, Rujescu, Dan, Postolache, Teodor T., Sung, Joohon, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, and Cloninger, C. Robert

Published
2020
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23. Uncovering the complex genetics of human character

Author

Zwir, Igor, Arnedo, Javier, Del-Val, Coral, Pulkki-Råback, Laura, Konte, Bettina, Yang, Sarah S., Romero-Zaliz, Rocio, Hintsanen, Mirka, Cloninger, Kevin M., Garcia, Danilo, Svrakic, Dragan M., Rozsa, Sandor, Martinez, Maribel, Lyytikäinen, Leo-Pekka, Giegling, Ina, Kähönen, Mika, Hernandez-Cuervo, Helena, Seppälä, Ilkka, Raitoharju, Emma, de Erausquin, Gabriel A., Raitakari, Olli, Rujescu, Dan, Postolache, Teodor T., Sung, Joohon, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, and Cloninger, C. Robert

Published
2020
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24. Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder

Author

de Moor, Marleen HM, van den Berg, Stéphanie M, Verweij, Karin JH, Krueger, Robert F, Luciano, Michelle, Vasquez, Alejandro Arias, Matteson, Lindsay K, Derringer, Jaime, Esko, Tõnu, Amin, Najaf, Gordon, Scott D, Hansell, Narelle K, Hart, Amy B, Seppälä, Ilkka, Huffman, Jennifer E, Konte, Bettina, Lahti, Jari, Lee, Minyoung, Miller, Mike, Nutile, Teresa, Tanaka, Toshiko, Teumer, Alexander, Viktorin, Alexander, Wedenoja, Juho, Abecasis, Goncalo R, Adkins, Daniel E, Agrawal, Arpana, Allik, Jüri, Appel, Katja, Bigdeli, Timothy B, Busonero, Fabio, Campbell, Harry, Costa, Paul T, Smith, George Davey, Davies, Gail, de Wit, Harriet, Ding, Jun, Engelhardt, Barbara E, Eriksson, Johan G, Fedko, Iryna O, Ferrucci, Luigi, Franke, Barbara, Giegling, Ina, Grucza, Richard, Hartmann, Annette M, Heath, Andrew C, Heinonen, Kati, Henders, Anjali K, Homuth, Georg, Hottenga, Jouke-Jan, Iacono, William G, Janzing, Joost, Jokela, Markus, Karlsson, Robert, Kemp, John P, Kirkpatrick, Matthew G, Latvala, Antti, Lehtimäki, Terho, Liewald, David C, Madden, Pamela AF, Magri, Chiara, Magnusson, Patrik KE, Marten, Jonathan, Maschio, Andrea, Medland, Sarah E, Mihailov, Evelin, Milaneschi, Yuri, Montgomery, Grant W, Nauck, Matthias, Ouwens, Klaasjan G, Palotie, Aarno, Pettersson, Erik, Polasek, Ozren, Qian, Yong, Pulkki-Råback, Laura, Raitakari, Olli T, Realo, Anu, Rose, Richard J, Ruggiero, Daniela, Schmidt, Carsten O, Slutske, Wendy S, Sorice, Rossella, Starr, John M, St Pourcain, Beate, Sutin, Angelina R, Timpson, Nicholas J, Trochet, Holly, Vermeulen, Sita, Vuoksimaa, Eero, Widen, Elisabeth, Wouda, Jasper, Wright, Margaret J, Zgaga, Lina, Porteous, David, Minelli, Alessandra, Palmer, Abraham A, Rujescu, Dan, Ciullo, Marina, Hayward, Caroline, and Rudan, Igor

Subjects
Biological Sciences, Genetics, Biological Psychology, Epidemiology, Social and Personality Psychology, Health Sciences, Psychology, Human Genome, Brain Disorders, Depression, Mental Health, Mental Illness, Serious Mental Illness, Major Depressive Disorder, 2.1 Biological and endogenous factors, Mental health, Adaptor Proteins, Signal Transducing, Anxiety Disorders, Cell Adhesion Molecules, Cell Adhesion Molecules, Neuronal, Depressive Disorder, Major, Genetic Predisposition to Disease, Genome-Wide Association Study, Guanylate Kinases, Humans, Multifactorial Inheritance, Neuroticism, Personality, Polymorphism, Single Nucleotide, Risk Factors, Genetics of Personality Consortium, Other Medical and Health Sciences, Cognitive Sciences, Clinical sciences, Clinical and health psychology
Abstract

ImportanceNeuroticism 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).ObjectivesTo 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 participantsGenome-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 measuresNeuroticism scores harmonized across all 29 discovery cohorts by item response theory analysis, and clinical MDD case-control status in 2 of the cohorts.ResultsA genome-wide significant SNP was found on 3p14 in MAGI1 (rs35855737; P = 9.26 × 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 × 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 × 10-12

Published
2015

25. Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder.

Author

Genetics of Personality Consortium, de Moor, Marleen HM, van den Berg, Stéphanie M, Verweij, Karin JH, Krueger, Robert F, Luciano, Michelle, Arias Vasquez, Alejandro, Matteson, Lindsay K, Derringer, Jaime, Esko, Tõnu, Amin, Najaf, Gordon, Scott D, Hansell, Narelle K, Hart, Amy B, Seppälä, Ilkka, Huffman, Jennifer E, Konte, Bettina, Lahti, Jari, Lee, Minyoung, Miller, Mike, Nutile, Teresa, Tanaka, Toshiko, Teumer, Alexander, Viktorin, Alexander, Wedenoja, Juho, Abecasis, Goncalo R, Adkins, Daniel E, Agrawal, Arpana, Allik, Jüri, Appel, Katja, Bigdeli, Timothy B, Busonero, Fabio, Campbell, Harry, Costa, Paul T, Davey Smith, George, Davies, Gail, de Wit, Harriet, Ding, Jun, Engelhardt, Barbara E, Eriksson, Johan G, Fedko, Iryna O, Ferrucci, Luigi, Franke, Barbara, Giegling, Ina, Grucza, Richard, Hartmann, Annette M, Heath, Andrew C, Heinonen, Kati, Henders, Anjali K, Homuth, Georg, Hottenga, Jouke-Jan, Iacono, William G, Janzing, Joost, Jokela, Markus, Karlsson, Robert, Kemp, John P, Kirkpatrick, Matthew G, Latvala, Antti, Lehtimäki, Terho, Liewald, David C, Madden, Pamela AF, Magri, Chiara, Magnusson, Patrik KE, Marten, Jonathan, Maschio, Andrea, Medland, Sarah E, Mihailov, Evelin, Milaneschi, Yuri, Montgomery, Grant W, Nauck, Matthias, Ouwens, Klaasjan G, Palotie, Aarno, Pettersson, Erik, Polasek, Ozren, Qian, Yong, Pulkki-Råback, Laura, Raitakari, Olli T, Realo, Anu, Rose, Richard J, Ruggiero, Daniela, Schmidt, Carsten O, Slutske, Wendy S, Sorice, Rossella, Starr, John M, St Pourcain, Beate, Sutin, Angelina R, Timpson, Nicholas J, Trochet, Holly, Vermeulen, Sita, Vuoksimaa, Eero, Widen, Elisabeth, Wouda, Jasper, Wright, Margaret J, Zgaga, Lina, Porteous, David, Minelli, Alessandra, Palmer, Abraham A, Rujescu, Dan, Ciullo, Marina, and Hayward, Caroline

Subjects
Genetics of Personality Consortium, Humans, Genetic Predisposition to Disease, Cell Adhesion Molecules, Neuronal, Risk Factors, Personality, Anxiety Disorders, Depressive Disorder, Major, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Neuroticism, Adaptor Proteins, Signal Transducing, Cell Adhesion Molecules, Guanylate Kinases, Neuronal, Depressive Disorder, Major, Polymorphism, Single Nucleotide, Adaptor Proteins, Signal Transducing, Other Medical and Health Sciences, Psychology, Cognitive Sciences
Abstract

ImportanceNeuroticism 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).ObjectivesTo 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 participantsGenome-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 measuresNeuroticism scores harmonized across all 29 discovery cohorts by item response theory analysis, and clinical MDD case-control status in 2 of the cohorts.ResultsA genome-wide significant SNP was found on 3p14 in MAGI1 (rs35855737; P = 9.26 × 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 × 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 × 10-12

Published
2015

43. The associations of childhood psychosocial factors with cognitive function in midlife—The young finns study.

Author

Nurmi, Amanda, primary, Pulkki-Råback, Laura, additional, Salo, Pia, additional, Pahkala, Katja, additional, Juonala, Markus, additional, Hutri-Kähönen, Nina, additional, Kähönen, Mika, additional, Lehtimäki, Terho, additional, Jokinen, Eero, additional, Keltikangas-Järvinen, Liisa, additional, Laitinen, Tomi P., additional, Tossavainen, Päivi, additional, Taittonen, Leena, additional, Viikari, Jorma S. A., additional, Raitakari, Olli T., additional, and Rovio, Suvi P., additional

Published
2023
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47. Activated immune–inflammatory pathways are associated with long-standing depressive symptoms: Evidence from gene-set enrichment analyses in the Young Finns Study

Author

Elovainio, Marko, Taipale, Tuukka, Seppälä, Ilkka, Mononen, Nina, Raitoharju, Emma, Jokela, Markus, Pulkki-Råback, Laura, Illig, Thomas, Waldenberger, Melanie, Hakulinen, Christian, Hintsa, Taina, Kivimäki, Mika, Kähönen, Mika, Keltikangas-Järvinen, Liisa, Raitakari, Olli, and Lehtimäki, Terho

Published
2015
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