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146 results on '"Madden, P.A.F."'

1. The relationship between cannabis involvement and suicidal thoughts and behaviors

Author: Delforterie, M.J., Lynskey, M.T., Huizink, A.C., Creemers, H.E., Grant, J.D., Few, L.R., Glowinski, A.L., Statham, D.J., Trull, T.J., Bucholz, K.K., Madden, P.A.F., Martin, N.G., Heath, A.C., and Agrawal, A.
Published: 2015
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2. Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults A 2-Sample Mendelian Randomization Study

Author: Choi, K.W., Chen, C.Y., Stein, M.B., Klimentidis, Y.C., Wang, M.J., Koenen, K.C., Smoller, J.W., Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T., Andlauer, T.F.M., Bacanu, S.A., Baekvad-Hansen, M., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenschon, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Hvarregaard, J., Christensen, J.H., Clarke, T.K., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W., Krogh, J., Kutalik, Z., Li, Y.H., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Marchini, J., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Saeed, S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y.P., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.L.S., Yang, J., Zhang, F.T., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Nordentoft, M., Nothen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Stefansson, K., Tiemeier, H., Uher, R., Volzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Borglum, A.D., Sullivan, P.F., Major Depressive Disorder Working, Epidemiology, Internal Medicine, Child and Adolescent Psychiatry / Psychology, Psychiatry, Biological Psychology, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, and Adult Psychiatry
Subjects: Adult, DISORDER, medicine.medical_specialty, Genome-wide association study, EXERCISE, CAUSALITY, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, PEOPLE, Internal medicine, Accelerometry, Mendelian randomization, SCHIZOPHRENIA, Humans, Medicine, ANXIETY, Exercise, RISK, Depressive Disorder, Major, business.industry, Case-control study, SEDENTARY BEHAVIOR, Mendelian Randomization Analysis, Odds ratio, ASSOCIATION, Protective Factors, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Sample size determination, Case-Control Studies, Meta-analysis, Major depressive disorder, Self Report, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Importance: Increasing evidence shows that physical activity is associated with reduced risk for depression, pointing to a potential modifiable target for prevention. However, the causality and direction of this association are not clear; physical activity may protect against depression, and/or depression may result in decreased physical activity.Objective: To examine bidirectional relationships between physical activity and depression using a genetically informed method for assessing potential causal inference.Design, Setting, and Participants: This 2-sample mendelian randomization (MR) used independent top genetic variants associated with 2 physical activity phenotypes-self-reported (n = 377 234) and objective accelerometer-based (n = 91 084)-and with major depressive disorder (MDD) (n = 143 265) as genetic instruments from the largest available, nonoverlapping genome-wide association studies (GWAS). GWAS were previously conducted in diverse observational cohorts, including the UK Biobank (for physical activity) and participating studies in the Psychiatric Genomics Consortium (for MDD) among adults of European ancestry. Mendelian randomization estimates from each genetic instrument were combined using inverse variance weighted meta-analysis, with alternate methods (eg, weighted median, MR Egger, MR-Pleiotropy Residual Sum and Outlier [PRESSO]) and multiple sensitivity analyses to assess horizontal pleiotropy and remove outliers. Data were analyzed from May 10 through July 31, 2018.Main Outcomes and Measures: MDD and physical activity.Results: GWAS summary data were available for a combined sample size of 611 583 adult participants. Mendelian randomization evidence suggested a protective relationship between accelerometer-based activity and MDD (odds ratio [OR], 0.74 for MDD per 1-SD increase in mean acceleration; 95% CI, 0.59-0.92; P = .006). In contrast, there was no statistically significant relationship between MDD and accelerometer-based activity (β = -0.08 in mean acceleration per MDD vs control status; 95% CI, -0.47 to 0.32; P = .70). Furthermore, there was no significant relationship between self-reported activity and MDD (OR, 1.28 for MDD per 1-SD increase in metabolic-equivalent minutes of reported moderate-to-vigorous activity; 95% CI, 0.57-3.37; P = .48), or between MDD and self-reported activity (β = 0.02 per MDD in standardized metabolic-equivalent minutes of reported moderate-to-vigorous activity per MDD vs control status; 95% CI, -0.008 to 0.05; P = .15).Conclusions and Relevance: Using genetic instruments identified from large-scale GWAS, robust evidence supports a protective relationship between objectively assessed-but not self-reported-physical activity and the risk for MDD. Findings point to the importance of objective measurement of physical activity in epidemiologic studies of mental health and support the hypothesis that enhancing physical activity may be an effective prevention strategy for depression.
Published: 2019
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3. Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies

Author: Munn-Chernoff, M.A. Johnson, E.C. Chou, Y.-L. Coleman, J.R.I. Thornton, L.M. Walters, R.K. Yilmaz, Z. Baker, J.H. Hübel, C. Gordon, S. Medland, S.E. Watson, H.J. Gaspar, H.A. Bryois, J. Hinney, A. Leppä, V.M. Mattheisen, M. Ripke, S. Yao, S. Giusti-Rodríguez, P. Hanscombe, K.B. Adan, R.A.H. Alfredsson, L. Ando, T. Andreassen, O.A. Berrettini, W.H. Boehm, I. Boni, C. Boraska Perica, V. Buehren, K. Burghardt, R. Cassina, M. Cichon, S. Clementi, M. Cone, R.D. Courtet, P. Crow, S. Crowley, J.J. Danner, U.N. Davis, O.S.P. de Zwaan, M. Dedoussis, G. Degortes, D. DeSocio, J.E. Dick, D.M. Dikeos, D. Dina, C. Dmitrzak-Weglarz, M. Docampo, E. Duncan, L.E. Egberts, K. Ehrlich, S. Escaramís, G. Esko, T. Estivill, X. Farmer, A. Favaro, A. Fernández-Aranda, F. Fichter, M.M. Fischer, K. Föcker, M. Foretova, L. Forstner, A.J. Forzan, M. Franklin, C.S. Gallinger, S. Giegling, I. Giuranna, J. Gonidakis, F. Gorwood, P. Gratacos Mayora, M. Guillaume, S. Guo, Y. Hakonarson, H. Hatzikotoulas, K. Hauser, J. Hebebrand, J. Helder, S.G. Herms, S. Herpertz-Dahlmann, B. Herzog, W. Huckins, L.M. Hudson, J.I. Imgart, H. Inoko, H. Janout, V. Jiménez-Murcia, S. Julià, A. Kalsi, G. Kaminská, D. Karhunen, L. Karwautz, A. Kas, M.J.H. Kennedy, J.L. Keski-Rahkonen, A. Kiezebrink, K. Kim, Y.-R. Klump, K.L. Knudsen, G.P.S. La Via, M.C. Le Hellard, S. Levitan, R.D. Li, D. Lilenfeld, L. Lin, B.D. Lissowska, J. Luykx, J. Magistretti, P.J. Maj, M. Mannik, K. Marsal, S. Marshall, C.R. Mattingsdal, M. McDevitt, S. McGuffin, P. Metspalu, A. Meulenbelt, I. Micali, N. Mitchell, K. Monteleone, A.M. Monteleone, P. Nacmias, B. Navratilova, M. Ntalla, I. O'Toole, J.K. Ophoff, R.A. Padyukov, L. Palotie, A. Pantel, J. Papezova, H. Pinto, D. Rabionet, R. Raevuori, A. Ramoz, N. Reichborn-Kjennerud, T. Ricca, V. Ripatti, S. Ritschel, F. Roberts, M. Rotondo, A. Rujescu, D. Rybakowski, F. Santonastaso, P. Scherag, A. Scherer, S.W. Schmidt, U. Schork, N.J. Schosser, A. Seitz, J. Slachtova, L. Slagboom, P.E. Slof-Op't Landt, M.C.T. Slopien, A. Sorbi, S. Świątkowska, B. Szatkiewicz, J.P. Tachmazidou, I. Tenconi, E. Tortorella, A. Tozzi, F. Treasure, J. Tsitsika, A. Tyszkiewicz-Nwafor, M. Tziouvas, K. van Elburg, A.A. van Furth, E.F. Wagner, G. Walton, E. Widen, E. Zeggini, E. Zerwas, S. Zipfel, S. Bergen, A.W. Boden, J.M. Brandt, H. Crawford, S. Halmi, K.A. Horwood, L.J. Johnson, C. Kaplan, A.S. Kaye, W.H. Mitchell, J. Olsen, C.M. Pearson, J.F. Pedersen, N.L. Strober, M. Werge, T. Whiteman, D.C. Woodside, D.B. Grove, J. Henders, A.K. Larsen, J.T. Parker, R. Petersen, L.V. Jordan, J. Kennedy, M.A. Birgegård, A. Lichtenstein, P. Norring, C. Landén, M. Mortensen, P.B. Polimanti, R. McClintick, J.N. Adkins, A.E. Aliev, F. Bacanu, S.-A. Batzler, A. Bertelsen, S. Biernacka, J.M. Bigdeli, T.B. Chen, L.-S. Clarke, T.-K. Degenhardt, F. Docherty, A.R. Edwards, A.C. Foo, J.C. Fox, L. Frank, J. Hack, L.M. Hartmann, A.M. Hartz, S.M. Heilmann-Heimbach, S. Hodgkinson, C. Hoffmann, P. Hottenga, J.-J. Konte, B. Lahti, J. Lahti-Pulkkinen, M. Lai, D. Ligthart, L. Loukola, A. Maher, B.S. Mbarek, H. McIntosh, A.M. McQueen, M.B. Meyers, J.L. Milaneschi, Y. Palviainen, T. Peterson, R.E. Ryu, E. Saccone, N.L. Salvatore, J.E. Sanchez-Roige, S. Schwandt, M. Sherva, R. Streit, F. Strohmaier, J. Thomas, N. Wang, J.-C. Webb, B.T. Wedow, R. Wetherill, L. Wills, A.G. Zhou, H. Boardman, J.D. Chen, D. Choi, D.-S. Copeland, W.E. Culverhouse, R.C. Dahmen, N. Degenhardt, L. Domingue, B.W. Frye, M.A. Gäebel, W. Hayward, C. Ising, M. Keyes, M. Kiefer, F. Koller, G. Kramer, J. Kuperman, S. Lucae, S. Lynskey, M.T. Maier, W. Mann, K. Männistö, S. Müller-Myhsok, B. Murray, A.D. Nurnberger, J.I. Preuss, U. Räikkönen, K. Reynolds, M.D. Ridinger, M. Scherbaum, N. Schuckit, M.A. Soyka, M. Treutlein, J. Witt, S.H. Wodarz, N. Zill, P. Adkins, D.E. Boomsma, D.I. Bierut, L.J. Brown, S.A. Bucholz, K.K. Costello, E.J. de Wit, H. Diazgranados, N. Eriksson, J.G. Farrer, L.A. Foroud, T.M. Gillespie, N.A. Goate, A.M. Goldman, D. Grucza, R.A. Hancock, D.B. Harris, K.M. Hesselbrock, V. Hewitt, J.K. Hopfer, C.J. Iacono, W.G. Johnson, E.O. Karpyak, V.M. Kendler, K.S. Kranzler, H.R. Krauter, K. Lind, P.A. McGue, M. MacKillop, J. Madden, P.A.F. Maes, H.H. Magnusson, P.K.E. Nelson, E.C. Nöthen, M.M. Palmer, A.A. Penninx, B.W.J.H. Porjesz, B. Rice, J.P. Rietschel, M. Riley, B.P. Rose, R.J. Shen, P.-H. Silberg, J. Stallings, M.C. Tarter, R.E. Vanyukov, M.M. Vrieze, S. Wall, T.L. Whitfield, J.B. Zhao, H. Neale, B.M. Wade, T.D. Heath, A.C. Montgomery, G.W. Martin, N.G. Sullivan, P.F. Kaprio, J. Breen, G. Gelernter, J. Edenberg, H.J. Bulik, C.M. Agrawal, A.
Subjects: mental disorders
Abstract: Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [rg], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (rg = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (rg = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (rgs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotypes highlights the potentially complex and substance-specific relationships among these behaviors. © 2020 Society for the Study of Addiction
Published: 2021

4. Genetic aetiology of self-harm ideation and behaviour

Author: Campos, A.I., Verweij, K.J.H., Statham, D.J., Madden, P.A.F., Maciejewski, D.F., Davis, K.A.S., John, A., Hotopf, M., Heath, A.C., Martin, N.G., Rentería, M.E., Campos, A.I., Verweij, K.J.H., Statham, D.J., Madden, P.A.F., Maciejewski, D.F., Davis, K.A.S., John, A., Hotopf, M., Heath, A.C., Martin, N.G., and Rentería, M.E.
Abstract: Contains fulltext : 226852.pdf (publisher's version ) (Open Access), Family studies have identified a heritable component to self-harm that is partially independent from comorbid psychiatric disorders. However, the genetic aetiology of broad sense (non-suicidal and suicidal) self-harm has not been characterised on the molecular level. In addition, controversy exists about the degree to which suicidal and non-suicidal self-harm share a common genetic aetiology. In the present study, we conduct genome-wide association studies (GWAS) on lifetime self-harm ideation and self-harm behaviour (i.e. any lifetime self-harm act regardless of suicidal intent) using data from the UK Biobank (n > 156,000). We also perform genome wide gene-based tests and characterize the SNP heritability and genetic correlations between these traits. Finally, we test whether polygenic risk scores (PRS) for self-harm ideation and self-harm behaviour predict suicide attempt, suicide thoughts and non-suicidal self-harm (NSSH) in an independent target sample of 8,703 Australian adults. Our GWAS results identified one genome-wide significant locus associated with each of the two phenotypes. SNP heritability (hsnp2) estimates were ~10%, and both traits were highly genetically correlated (LDSC rg > 0.8). Gene-based tests identified seven genes associated with self-harm ideation and four with self-harm behaviour. Furthermore, in the target sample, PRS for self-harm ideation were significantly associated with suicide thoughts and NSSH, and PRS for self-harm behaviour predicted suicide thoughts and suicide attempt. Follow up regressions identified a shared genetic aetiology between NSSH and suicide thoughts, and between suicide thoughts and suicide attempt. Evidence for shared genetic aetiology between NSSH and suicide attempt was not statistically significant.
Published: 2020

5. Cerebral small vessel disease genomics and its implications across the lifespan

Author: Sargurupremraj, M. (Muralidharan), Suzuki, H. (Hideaki), Jian, X. (Xueqiu), Sarnowski, C., Evans, T.E (Tavia), Bis, J.C. (Joshua), Eiriksdottir, G. (Gudny), Sakaue, S. (Saori), Terzikhan, N. (Natalie), Habes, M. (Mohamad), Zhao, W. (Wei), Armstrong, N.J. (Nicola J.), Hofer, E. (Edith), Yanek, L.R. (Lisa), Hagenaars, S.P. (Saskia P.), Kumar, R.B. (Rajan B.), Akker, E.B. (Erik) van den, McWhirter, R.E. (Rebekah E.), Trompet, S. (Stella), Mishra, A. (Aniket), Saba, Y. (Yasaman), Satizabal, C.L. (Claudia), Beaudet, G. (Gregory), Petit, L. (Laurent), Tsuchida, A. (Ami), Zago, L. (Laure), Schilling, S. (Sabrina), Sigurdsson, S. (Stefan), Gottesman, R.F. (Rebecca), Lewis, C.E. (Cora E.), Aggarwal, N.T. (Neelum T.), Lopez, O.L. (Oscar), Smith, J.A. (Jennifer A), Valdés Hernández, M.C. (Maria C.), van der Grond, J. (Jeroen), Wright, M.J. (Margaret), Knol, M.J. (Maria J.), Dörr, M. (Marcus), Thomson, R. (Russell), Bordes, C. (Constance), Le Grand, Q. (Quentin), Duperron, M.-G. (Marie-Gabrielle), Smith, A.V. (Albert), Knopman, D.S. (David), Schreiner, P.J. (Pamela), Evans, D.A. (Denis A.), Rotter, J.I. (Jerome I.), Beiser, A. (Alexa), Maniega, S.M. (Susana Muñoz), Beekman, M. (Marian), Trollor, J., Stott, D.J. (David. J.), Vernooij, M.W. (Meike), Wittfeld, K. (Katharina), Niessen, W.J. (Wiro), Soumaré, A. (Aicha), Boerwinkle, E.A. (Eric), Sidney, S. (Stephen), Turner, S.T. (Stephen), Davies, G. (Gail), Thalamuthu, A. (Anbupalam), Völker, U. (Uwe), Buchem, M.A. (Mark) van, Bryan, R.N. (R. Nick), Amin, N. (Najaf), Bastin, M.E. (Mark), Ames, D.J. (David), Teumer, A. (Alexander), Amouyel, P. (Philippe), Kwok, J.B. (John B.), Bülow, R. (Robin), Deary, I.J. (Ian), Schofield, P.R. (Peter R.), Brodaty, H. (Henry), Jiang, J. (Jiyang), Tabara, Y. (Yasuharu), Setoh, K. (Kazuya), Miyamoto, S. (Susumu), Yoshida, K. (Kazumichi), Nagata, M. (Manabu), Kamatani, Y. (Yoichiro), Matsuda, F. (Fumihiko), Psaty, B.M. (Bruce), Bennett, D.A. (David), De Jager, P., Mosley, T.H. (Thomas H.), Sachdev, P.S. (Perminder), Schmidt, R. (Reinhold), Warren, H. (Helen), Evangelou, E. (Evangelos), Trégouët, D.-A. (David-Alexandre), Andrade, M. (Mariza) de, Basu, S. (Saonli), Berr, C. (Claudine), Brody, J.A. (Jennifer A.), Chasman, D.I. (Daniel I.), Dartigues, J.-F., Folsom, A.R. (Aaron), Germain, M. (Marine), de Haan, H. (Hugoline), Heit, J.A. (John), Houwing-Duitermaat, J. (Jeanine), Kabrhel, C. (Christopher), Kraft, P. (Peter), Legal, G. (Grégoire), Lindström, S. (Sara), Monajemi, R. (Ramin), Morange, P.-E. (P.), Psaty, B.M. (Bruce M.), Reitsma, P.H. (Pieter H.), Jarvelin, M.-R. (Marjo-Riitta), Rose, L.M. (Lynda M.), Peyvandi, F. (Flora), Saut, N. (Noemie), Slagboom, E. (Eline), Smadja, D. (David), Smith, N.L. (Nicholas L.), Suchon, P. (Pierre), Tang, W. (Weihong), Taylor, K.D. (Kent D.), Tregouet, D.-A. (David-Alexandre), Tzourio, C. (Christophe), Visser, M.C.H. (Marieke) de, Hylckama Vlieg, A. (Astrid) van, Weng, L.-C., Wiggins, K.L. (Kerri L.), Gormley, A.M., Anttila, V. (Verneri), Winsvold, B.S. (Bendik S.), Palta, P. (Priit), Esko, T. (Tõnu), Pers, T.H. (Tune H.), Farh, K.-H. (Kai-How), Cuenca-Leon, E. (Ester), Muona, M. (Mikko), Furlotte, N.A. (Nicholas A.), Kurth, T. (Tobias), Ingason, A. (Andres), McMahon, G. (George), Ligthart, L. (Lannie), Terwindt, G.M. (Gisela M.), Todt, U. (Unda), Freilinger, T.M. (Tobias M.), Ran, C. (Caroline), Gordon, S.G. (Scott G.), Stam, A.H. (Anine), Steinberg, S. (Stacy), Borck, G. (Guntram), Koiranen, M. (Markku), Quaye, L. (Lydia), Adams, H.H.H. (Hieab H. H.), Lehtimäki, T. (Terho), Sarin, A.-P., Wedenoja, J. (Juho), Hinds, D.A. (David A.), Buring, J.E. (Julie), Schürks, M. (Markus), Ridker, P.M. (Paul M.), Gudlaug Hrafnsdottir, M. (Maria), Stefansson, H. (Hreinn), Ring, S.M. (Susan M.), Hottenga, J.J. (Jouke Jan), Penninx, B.W.J.H. (Brenda), Färkkilä, M. (Markus), Artto, V. (Ville), Kaunisto, M.A. (Mari), Vepsäläinen, S. (Salli), Malik, R. (Rainer), Heath, A.C. (Andrew), Madden, P.A.F. (Pamela A. F.), Martin, N.G. (Nicholas), Montgomery, G.W. (Grant), Kurki, M. (Mitja), Kals, M. (Mart), Mägi, R. (Reedik), Pärn, K. (Kalle), Hämäläinen, E. (Eija), Huang, H. (Hailiang), Byrnes, A.E. (Andrea E.), Franke, L. (Lude), Huang, J. (Jie), Stergiakouli, E. (Evie), Lee, P.H. (Phil H.), Sandor, C. (Cynthia), Webber, C. (Caleb), Cader, Z. (Zameel), Müller-Myhsok, B. (B.), Schreiber, S. (Stefan), Meitinger, T. (Thomas), Hagen, K. (Knut), Salomaa, V. (Veikko), Heikkilä, K. (Kauko), Loehrer, E. (Elizabeth), Uitterlinden, A.G. (André), Hofman, A. (Albert), Duijn, C.M. (Cornelia) van, Cherkas, L. (Lynn), Pedersen, L.M. (Linda M.), Stubhaug, A. (Audun), Nielsen, C.S. (Christopher S.), Männikkö, M. (Minna), Mihailov, E. (Evelin), Milani, L. (Lili), Esserlind, A.-L. (Ann-Louise), Francke Christensen, A. (Anne), Folkmann Hansen, T. (Thomas), Werge, T. (Thomas), Kaprio, J. (Jaakko), Aromaa, A. (Arpo), Raitakari, O. (Olli), Ikram, M.A. (M. Arfan), Spector, T.D. (Timothy), Järvelin, M.-R. (Marjo-Riitta), Metspalu, A. (Andres), Kubisch, C. (Christian), Beckmann, J.S. (Jacques), Ferrari, M.D. (Michel), Belin, A.C. (Andrea C.), Wessman, M. (Maija), van den Maagdenberg, A.M.J.M. (Arn M. J. M.), Zwart, J-A. (John-Anker), Boomsma, D.I. (Dorret), Davey Smith, G. (George), Eriksson, N. (Nicholas), Daly, M.J. (Mark), Neale, B.M. (Benjamin), Olesen, J. (Jes), Chasman, D.I. (Daniel), Nyholt, D.R. (Dale), Palotie, A. (Aarno), Ikram, M.A. (Arfan), Wen, W. (Wei), DeCarli, C. (Charles), Srikanth, V. (Velandai), Jukema, J.W. (Jan Wouter), Slagboom, P.E. (Eline), Kardia, S.L.R. (Sharon), Okada, Y. (Yukinori), Mazoyer, B. (Bernard), Wardlaw, J.M. (J.), Nyquist, P. (Paul), Mather, R., Grabe, H.J. (Hans Jörgen), Schmidt, H. (Helena), Van Duijn, C.M. (Cornelia M.), Gudnason, V. (Vilmundur), Longstreth Jr, W.T., Launer, L.J. (Lenore), Lathrop, M. (Mark), Seshadri, S. (Sudha), Adams, H.H.H. (Hieab), Matthews, P.M. (P.), Fornage, M. (Myriam), Debette, S. (Stéphanie), Sargurupremraj, M. (Muralidharan), Suzuki, H. (Hideaki), Jian, X. (Xueqiu), Sarnowski, C., Evans, T.E (Tavia), Bis, J.C. (Joshua), Eiriksdottir, G. (Gudny), Sakaue, S. (Saori), Terzikhan, N. (Natalie), Habes, M. (Mohamad), Zhao, W. (Wei), Armstrong, N.J. (Nicola J.), Hofer, E. (Edith), Yanek, L.R. (Lisa), Hagenaars, S.P. (Saskia P.), Kumar, R.B. (Rajan B.), Akker, E.B. (Erik) van den, McWhirter, R.E. (Rebekah E.), Trompet, S. (Stella), Mishra, A. (Aniket), Saba, Y. (Yasaman), Satizabal, C.L. (Claudia), Beaudet, G. (Gregory), Petit, L. (Laurent), Tsuchida, A. (Ami), Zago, L. (Laure), Schilling, S. (Sabrina), Sigurdsson, S. (Stefan), Gottesman, R.F. (Rebecca), Lewis, C.E. (Cora E.), Aggarwal, N.T. (Neelum T.), Lopez, O.L. (Oscar), Smith, J.A. (Jennifer A), Valdés Hernández, M.C. (Maria C.), van der Grond, J. (Jeroen), Wright, M.J. (Margaret), Knol, M.J. (Maria J.), Dörr, M. (Marcus), Thomson, R. (Russell), Bordes, C. (Constance), Le Grand, Q. (Quentin), Duperron, M.-G. (Marie-Gabrielle), Smith, A.V. (Albert), Knopman, D.S. (David), Schreiner, P.J. (Pamela), Evans, D.A. (Denis A.), Rotter, J.I. (Jerome I.), Beiser, A. (Alexa), Maniega, S.M. (Susana Muñoz), Beekman, M. (Marian), Trollor, J., Stott, D.J. (David. J.), Vernooij, M.W. (Meike), Wittfeld, K. (Katharina), Niessen, W.J. (Wiro), Soumaré, A. (Aicha), Boerwinkle, E.A. (Eric), Sidney, S. (Stephen), Turner, S.T. (Stephen), Davies, G. (Gail), Thalamuthu, A. (Anbupalam), Völker, U. (Uwe), Buchem, M.A. (Mark) van, Bryan, R.N. (R. Nick), Amin, N. (Najaf), Bastin, M.E. (Mark), Ames, D.J. (David), Teumer, A. (Alexander), Amouyel, P. (Philippe), Kwok, J.B. (John B.), Bülow, R. (Robin), Deary, I.J. (Ian), Schofield, P.R. (Peter R.), Brodaty, H. (Henry), Jiang, J. (Jiyang), Tabara, Y. (Yasuharu), Setoh, K. (Kazuya), Miyamoto, S. (Susumu), Yoshida, K. (Kazumichi), Nagata, M. (Manabu), Kamatani, Y. (Yoichiro), Matsuda, F. (Fumihiko), Psaty, B.M. (Bruce), Bennett, D.A. (David), De Jager, P., Mosley, T.H. (Thomas H.), Sachdev, P.S. (Perminder), Schmidt, R. (Reinhold), Warren, H. (Helen), Evangelou, E. (Evangelos), Trégouët, D.-A. (David-Alexandre), Andrade, M. (Mariza) de, Basu, S. (Saonli), Berr, C. (Claudine), Brody, J.A. (Jennifer A.), Chasman, D.I. (Daniel I.), Dartigues, J.-F., Folsom, A.R. (Aaron), Germain, M. (Marine), de Haan, H. (Hugoline), Heit, J.A. (John), Houwing-Duitermaat, J. (Jeanine), Kabrhel, C. (Christopher), Kraft, P. (Peter), Legal, G. (Grégoire), Lindström, S. (Sara), Monajemi, R. (Ramin), Morange, P.-E. (P.), Psaty, B.M. (Bruce M.), Reitsma, P.H. (Pieter H.), Jarvelin, M.-R. (Marjo-Riitta), Rose, L.M. (Lynda M.), Peyvandi, F. (Flora), Saut, N. (Noemie), Slagboom, E. (Eline), Smadja, D. (David), Smith, N.L. (Nicholas L.), Suchon, P. (Pierre), Tang, W. (Weihong), Taylor, K.D. (Kent D.), Tregouet, D.-A. (David-Alexandre), Tzourio, C. (Christophe), Visser, M.C.H. (Marieke) de, Hylckama Vlieg, A. (Astrid) van, Weng, L.-C., Wiggins, K.L. (Kerri L.), Gormley, A.M., Anttila, V. (Verneri), Winsvold, B.S. (Bendik S.), Palta, P. (Priit), Esko, T. (Tõnu), Pers, T.H. (Tune H.), Farh, K.-H. (Kai-How), Cuenca-Leon, E. (Ester), Muona, M. (Mikko), Furlotte, N.A. (Nicholas A.), Kurth, T. (Tobias), Ingason, A. (Andres), McMahon, G. (George), Ligthart, L. (Lannie), Terwindt, G.M. (Gisela M.), Todt, U. (Unda), Freilinger, T.M. (Tobias M.), Ran, C. (Caroline), Gordon, S.G. (Scott G.), Stam, A.H. (Anine), Steinberg, S. (Stacy), Borck, G. (Guntram), Koiranen, M. (Markku), Quaye, L. (Lydia), Adams, H.H.H. (Hieab H. H.), Lehtimäki, T. (Terho), Sarin, A.-P., Wedenoja, J. (Juho), Hinds, D.A. (David A.), Buring, J.E. (Julie), Schürks, M. (Markus), Ridker, P.M. (Paul M.), Gudlaug Hrafnsdottir, M. (Maria), Stefansson, H. (Hreinn), Ring, S.M. (Susan M.), Hottenga, J.J. (Jouke Jan), Penninx, B.W.J.H. (Brenda), Färkkilä, M. (Markus), Artto, V. (Ville), Kaunisto, M.A. (Mari), Vepsäläinen, S. (Salli), Malik, R. (Rainer), Heath, A.C. (Andrew), Madden, P.A.F. (Pamela A. F.), Martin, N.G. (Nicholas), Montgomery, G.W. (Grant), Kurki, M. (Mitja), Kals, M. (Mart), Mägi, R. (Reedik), Pärn, K. (Kalle), Hämäläinen, E. (Eija), Huang, H. (Hailiang), Byrnes, A.E. (Andrea E.), Franke, L. (Lude), Huang, J. (Jie), Stergiakouli, E. (Evie), Lee, P.H. (Phil H.), Sandor, C. (Cynthia), Webber, C. (Caleb), Cader, Z. (Zameel), Müller-Myhsok, B. (B.), Schreiber, S. (Stefan), Meitinger, T. (Thomas), Hagen, K. (Knut), Salomaa, V. (Veikko), Heikkilä, K. (Kauko), Loehrer, E. (Elizabeth), Uitterlinden, A.G. (André), Hofman, A. (Albert), Duijn, C.M. (Cornelia) van, Cherkas, L. (Lynn), Pedersen, L.M. (Linda M.), Stubhaug, A. (Audun), Nielsen, C.S. (Christopher S.), Männikkö, M. (Minna), Mihailov, E. (Evelin), Milani, L. (Lili), Esserlind, A.-L. (Ann-Louise), Francke Christensen, A. (Anne), Folkmann Hansen, T. (Thomas), Werge, T. (Thomas), Kaprio, J. (Jaakko), Aromaa, A. (Arpo), Raitakari, O. (Olli), Ikram, M.A. (M. Arfan), Spector, T.D. (Timothy), Järvelin, M.-R. (Marjo-Riitta), Metspalu, A. (Andres), Kubisch, C. (Christian), Beckmann, J.S. (Jacques), Ferrari, M.D. (Michel), Belin, A.C. (Andrea C.), Wessman, M. (Maija), van den Maagdenberg, A.M.J.M. (Arn M. J. M.), Zwart, J-A. (John-Anker), Boomsma, D.I. (Dorret), Davey Smith, G. (George), Eriksson, N. (Nicholas), Daly, M.J. (Mark), Neale, B.M. (Benjamin), Olesen, J. (Jes), Chasman, D.I. (Daniel), Nyholt, D.R. (Dale), Palotie, A. (Aarno), Ikram, M.A. (Arfan), Wen, W. (Wei), DeCarli, C. (Charles), Srikanth, V. (Velandai), Jukema, J.W. (Jan Wouter), Slagboom, P.E. (Eline), Kardia, S.L.R. (Sharon), Okada, Y. (Yukinori), Mazoyer, B. (Bernard), Wardlaw, J.M. (J.), Nyquist, P. (Paul), Mather, R., Grabe, H.J. (Hans Jörgen), Schmidt, H. (Helena), Van Duijn, C.M. (Cornelia M.), Gudnason, V. (Vilmundur), Longstreth Jr, W.T., Launer, L.J. (Lenore), Lathrop, M. (Mark), Seshadri, S. (Sudha), Adams, H.H.H. (Hieab), Matthews, P.M. (P.), Fornage, M. (Myriam), and Debette, S. (Stéphanie)
Abstract: White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.
Published: 2020
Full Text: View/download PDF

6. Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits

Author: Quach, B.C., Bray, M.J., Gaddis, N.C., Liu, M., Palviainen, T., Minica, C.C., Zellers, S., Sherva, R., Aliev, F., Nothnagel, M., Young, K.A., Marks, J., Young, H., Guo, Y., Waldrop, A., Sey, N., Landi, M.T., McNeil, D.W., Farrer, L.A., Markunas, C.A., Vink, J.M., Hottenga, J.J., Iacono, W.G., Kranzler, H.R., Saccone, N.L., Neale, M.C., Madden, P.A.F., Rietschel, M., Marazita, M.L., McGue, M.K., Won, H., Winterer, G., Grucza, R.A., Dick, D.M., Gelernter, J., Caporaso, N.E., Baker, T.B., Boomsma, D.I., Kaprio, J., Hokanson, J.E., Vrieze, S., Bierut, L.J., Johnson, E.O., Hancock, D.B., Quach, B.C., Bray, M.J., Gaddis, N.C., Liu, M., Palviainen, T., Minica, C.C., Zellers, S., Sherva, R., Aliev, F., Nothnagel, M., Young, K.A., Marks, J., Young, H., Guo, Y., Waldrop, A., Sey, N., Landi, M.T., McNeil, D.W., Farrer, L.A., Markunas, C.A., Vink, J.M., Hottenga, J.J., Iacono, W.G., Kranzler, H.R., Saccone, N.L., Neale, M.C., Madden, P.A.F., Rietschel, M., Marazita, M.L., McGue, M.K., Won, H., Winterer, G., Grucza, R.A., Dick, D.M., Gelernter, J., Caporaso, N.E., Baker, T.B., Boomsma, D.I., Kaprio, J., Hokanson, J.E., Vrieze, S., Bierut, L.J., Johnson, E.O., and Hancock, D.B.
Abstract: Contains fulltext : 276901.pdf (Publisher’s version ) (Open Access), Cigarette smoking is the leading cause of preventable morbidity and mortality. Genetic variation contributes to initiation, regular smoking, nicotine dependence, and cessation. We present a Fagerström Test for Nicotine Dependence (FTND)-based genome-wide association study in 58,000 European or African ancestry smokers. We observe five genome-wide significant loci, including previously unreported loci MAGI2/GNAI1 (rs2714700) and TENM2 (rs1862416), and extend loci reported for other smoking traits to nicotine dependence. Using the heaviness of smoking index from UK Biobank (N = 33,791), rs2714700 is consistently associated; rs1862416 is not associated, likely reflecting nicotine dependence features not captured by the heaviness of smoking index. Both variants influence nearby gene expression (rs2714700/MAGI2-AS3 in hippocampus; rs1862416/TENM2 in lung), and expression of genes spanning nicotine dependence-associated variants is enriched in cerebellum. Nicotine dependence (SNP-based heritability = 8.6%) is genetically correlated with 18 other smoking traits (rg = 0.40–1.09) and co-morbidities. Our results highlight nicotine dependence-specific loci, emphasizing the FTND as a composite phenotype that expands genetic knowledge of smoking
Published: 2020

7. Identification of common genetic risk variants for autism spectrum disorder

Author: Grove, J., Ripke, S., Als, T.D., Mattheisen, M., Walters, R.K., Won, H., Pallesen, J., Agerbo, E., Andreassen, O.A., Anney, R., Awashti, S., Belliveau, R., Bettella, F., Buxbaum, J.D., Bybjerg-Grauholm, J., Baekvad-Hansen, M., Cerrato, F., Chambert, K., Christensen, J.H., Churchhouse, C., Dellenvall, K., Demontis, D., Rubeis, S. de, Devlin, B., Djurovic, S., Dumont, A.L., Goldstein, J.I., Hansen, C.S., Hauberg, M.E., Hollegaard, M.V., Hope, S., Howrigan, D.P., Huang, H., Hultman, C.M., Klei, L., Maller, J., Martin, J., Martin, A.R., Moran, J.L., Nyegaard, M., Naeland, T., Palmer, D.S., Palotie, A., Pedersen, C.B., Pedersen, M.G., dPoterba, T., Poulsen, J.B., St Pourcain, B., Qvist, P., Rehnstrom, K., Reichenberg, A., Reichert, J., Robinson, E.B., Roeder, K., Roussos, P., Saemundsen, E., Sandin, S., Satterstrom, F.K., Smith, G.D., Stefansson, H., Steinberg, S., Stevens, C.R., Sullivan, P.F., Turley, P., Walters, G.B., Xu, X.Y., Stefansson, K., Geschwind, D.H., Nordentoft, M., Hougaard, D.M., Werge, T., Mors, O., Mortensen, P.B., Neale, B.M., Daly, M.J., Borglum, A.D., Wray, N.R., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Air, T.M., Andlauer, T.F.M., Bacanu, S.A., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenschon, H.N., Cai, N., Castelao, E., Clarke, T.K., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Hall, L.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Ising, M., Jansen, R., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y.P., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F.T., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Muller-Myhsok, B., Nothen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Tiemeier, H., Uher, R., Volzke, H., Weissman, M.M., Lewis, C.M., Levinson, D.F., Breen, G., Agee, M., Alipanahi, B., Auton, A., Bell, R.K., Bryc, K., Elson, S.L., Fontanillas, P., Furlotte, N.A., Hromatka, B.S., Huber, K.E., Kleinman, A., Litterman, N.K., McIntyre, M.H., Mountain, J.L., Noblin, E.S., Northover, C.A.M., Pitts, S.J., Sathirapongsasuti, J.F., Sazonova, O.V., Shelton, J.F., Shringarpure, S., Tung, J.Y., Vacic, V., Wilson, C.H., Psychiat Genomics Consortium, BUPGEN, 23andMe Re, Biological Psychology, APH - Methodology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Adult Psychiatry, Psychiatry, Human genetics, Amsterdam Reproduction & Development (AR&D), VU University medical center, APH - Digital Health, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium, BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Me Research Team, Epidemiology, and Child and Adolescent Psychiatry / Psychology
Subjects: Male, Netherlands Twin Register (NTR), Multifactorial Inheritance, Autism Spectrum Disorder, Denmark, LD SCORE REGRESSION, LOCI, Genome-wide association study, DE-NOVO, 0302 clinical medicine, Polymorphism (computer science), Risk Factors, SYNAPTIC PLASTICITY, CELL-SURFACE, Child, Genetics, 0303 health sciences, HERITABILITY, Genetic Predisposition to Disease/genetics, 1184 Genetics, developmental biology, physiology, Polymorphism, Single Nucleotide/genetics, Phenotype, 3. Good health, Schizophrenia, Autism spectrum disorder, Child, Preschool, Genome-Wide Association Study/methods, Female, SIMONS SIMPLEX COLLECTION, Adolescent, Biology, NEURITE OUTGROWTH, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Article, 03 medical and health sciences, mental disorders, medicine, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, SDG 2 - Zero Hunger, Multifactorial Inheritance/genetics, METAANALYSIS, 030304 developmental biology, Case-control study, Heritability, medicine.disease, Autism Spectrum Disorder/genetics, Case-Control Studies, 3111 Biomedicine, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Published in final edited form as: Nat Genet. 2019 March ; 51(3): 431–444. doi:10.1038/s41588-019-0344-8., Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 ASD cases and 27,969 controls that identifies five genome-wide significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), seven additional loci shared with other traits are identified at equally strict significance levels. Dissecting the polygenic architecture, we find both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis and establish that GWAS performed at scale will be much more productive in the near term in ASD., The iPSYCH project is funded by the Lundbeck Foundation (grant numbers R102-A9118 and R155-2014-1724) and the universities and university hospitals of Aarhus and Copenhagen. Genotyping of iPSYCH and PGC samples was supported by grants from the Lundbeck Foundation, the Stanley Foundation, the Simons Foundation (SFARI 311789 to MJD), and NIMH (5U01MH094432–02 to MJD). The Danish National Biobank resource was supported by the Novo Nordisk Foundation. Data handling and analysis on the GenomeDK HPC facility was supported by NIMH (1U01MH109514–01 to M O’Donovan and ADB). High-performance computer capacity for handling and statistical analysis of iPSYCH data on the GenomeDK HPC facility was provided by the Centre for Integrative Sequencing, iSEQ, Aarhus University, Denmark (grant to ADB). Drs. S De Rubeis and JD Buxbaum were supported by NIH grants MH097849 (to JDB) and MH111661 (to JDB), and by the Seaver Foundation (to SDR and JDB). Dr J Martin was supported by the Wellcome Trust (grant no: 106047). O. Andreassen received funding from Research Council of Norway (#213694, #223273, #248980, #248778), Stiftelsen KG Jebsen and South-East Norway Health Authority. We thank the research participants and employees of 23andMe for making this work possible.
Published: 2019
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8. Evidence for increased genetic risk load for major depression in patients assigned to electroconvulsive therapy

Author: Foo, J.C., Streit, F., Frank, J., Witt, S.H., Treutlein, J., Baune, B.T., Moebus, S., Jockel, K.H., Forstner, A.J., Nothen, M.M., Rietschel, M., Sartorius, A., Kranaster, L., Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, T.F.M., Bacanu, S.A., Baekvad-Hansen, M., Beekman, A.T.F., Bigdeli, T.B., Binder, E.B., Blackwood, D.H.R., Bryois, J., Buttenschon, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, J.R.I., Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, F.F.H., Finucane, H.K., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y.H., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J.X., Shyn, S.I., Sigurdsson, E., Sinnamon, G.C.B., Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Auwera, S. van der, Hemert, A.M. van, Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Wu, Y., Xi, H.L.S., Yang, J., Zhang, F.T., Arolt, V., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., Geus, E.J.C. de, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.Q.S., Lucae, S., Madden, P.A.F., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Muller-Myhsok, B., Nordentoft, M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, B.W.J.H., Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Voelzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Borglum, A.D., Sullivan, P.F., and Major Depressive Disorder Worki
Subjects: treatment-resistance, polygenic risk scores, depression, major depression, electroconvulsive therapy
Abstract: Electroconvulsive therapy (ECT) is the treatment of choice for severe and treatment-resistantdepression; disorder severity and unfavorable treatment outcomes are shown to be influencedby an increased genetic burden for major depression (MD). Here, we tested whether ECT assign-ment and response/nonresponse are associated with an increased genetic burden for majordepression (MD) using polygenic risk score (PRS), which summarize the contribution of disease-related common risk variants. Fifty-one psychiatric inpatients suffering from a major depressiveepisode underwent ECT. MD-PRS were calculated for these inpatients and a separatepopulation-based sample (n = 3,547 healthy; n = 426 self-reported depression) based on sum-mary statistics from the Psychiatric Genomics Consortium MDD-working group (Cases:n = 59,851; Controls: n = 113,154). MD-PRS explained a significant proportion of disease statusbetween ECT patients and healthy controls (p = .022, R2 = 1.173%); patients showed higherMD-PRS. MD-PRS in population-based depression self-reporters were intermediate betweenECT patients and controls (n.s.). Significant associations between MD-PRS and ECT response(50% reduction in Hamilton depression rating scale scores) were not observed. Our findings indi-cate that ECT cohorts show an increased genetic burden for MD and are consistent with thehypothesis that treatment-resistant MD patients represent a subgroup with an increased geneticrisk for MD. Larger samples are needed to better substantiate these findings.
Published: 2019

9. Genetic and environmental contributions to variance in age at first sexual intercourse

Author: Dunne, M.P., Martin, N.G., Statham, D.J., Slutske, W.S., Dinwiddie, S.H., Bucholz, K.K., Madden, P.A.F., and Heath, A.C.
Subjects: Sexual intercourse -- Demographic aspects, Sexual behavior surveys -- Statistics, Twins -- Sexual behavior, Psychology and mental health
Abstract: Little is known about the relative importance of genetic and environmental factors as determinants of age at first sexual intercourse. In this study, subjects were 5,080 individuals from the Australian Twin Registry (3,310 females, 1,770 males; age range: 27-70 years, median: 40 years) who completed a semistructured interview by telephone in 1992-1993. Self-reported age at first intercourse correlated higher for identical (monozygotic) twins than for nonidentical (dizygotic) twins. Structural equation model fitting found that the genetic contribution to variance was considerably greater among twins aged 40 years or less (72% for males and 49% for females) than for those aged from 41 to 70 years (0%for males and 32% for females). Among the older cohort, there was evidence that somewhat different aspects of the shared social environment influenced age at onset in males and females. In a more laissez-faire social climate in recent decades, it is likely that biological and psychological characteristics that are partly under genetic control significantly influence the age at which a person commences sexual activity., Age at first sexual intercourse is probably greatly influenced in modern times by psychological and biological factors that are partly controlled genetically because social constraints are less than before. Influences on the age of commencement of sexual activity appear to have been different among research subjects aged 41- to 70-years-old than for those aged under 40. Age at first intercourse correlated lower for nonidentical twins than identical twins, with the variance more genetically affected for twins aged under 40 than for those aged 41-70.
Published: 1997

10. Author correction: GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia liability

Author: Pasman, J.A., Verweij, K.J.H., Gerring, Z., Stringer, S., Sanchez-Roige, S., Treur, J.L., Abdellaoui, A., Nivard, M.G., Baselmans, B.M.L., Ong, J.S., Ip, H.F., Zee, M.D. van der, Bartels, M., Day, F.R., Fontanillas, P., Elson, S.L., Wit, H. de, Davis, L.K., MacKillop, J., Derringer, J.L., Branje, S.J.T., Hartman, C.A., Heath, A.C., Lier, P.A.C. van, Madden, P.A.F., Mägi, R., Meeus, W.H.J., Montgomery, G.W., Oldehinkel, A.J., Pausova, Z., Ramos-Quiroga, J.A., Paus, T., Ribases, M., Kaprio, J., Boks, M.P.M., Bell, J.T., Spector, T.D., Gelernter, J., Boomsma, D.I., Martin, N.G., MacGregor, S., Perry, J.R.B., Palmer, A.A., Posthuma, D., Munafò, M.R., Gillespie, N.A., Derks, E.M., Vink, J.M., Pasman, J.A., Verweij, K.J.H., Gerring, Z., Stringer, S., Sanchez-Roige, S., Treur, J.L., Abdellaoui, A., Nivard, M.G., Baselmans, B.M.L., Ong, J.S., Ip, H.F., Zee, M.D. van der, Bartels, M., Day, F.R., Fontanillas, P., Elson, S.L., Wit, H. de, Davis, L.K., MacKillop, J., Derringer, J.L., Branje, S.J.T., Hartman, C.A., Heath, A.C., Lier, P.A.C. van, Madden, P.A.F., Mägi, R., Meeus, W.H.J., Montgomery, G.W., Oldehinkel, A.J., Pausova, Z., Ramos-Quiroga, J.A., Paus, T., Ribases, M., Kaprio, J., Boks, M.P.M., Bell, J.T., Spector, T.D., Gelernter, J., Boomsma, D.I., Martin, N.G., MacGregor, S., Perry, J.R.B., Palmer, A.A., Posthuma, D., Munafò, M.R., Gillespie, N.A., Derks, E.M., and Vink, J.M.
Abstract: Item does not contain fulltext, 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

11. Genome-Wide Association meta-analysis of age at first cannabis use

Author: Minica, C.C., Verweij, K.J.H., Most, P.J. van der, Mbarek, H., Bernard, M., Eijk, K.R. van, Lind, P.A., Liu, M.Z., Maciejewski, D.F., Palviainen, T., Sánchez-Mora, C., Sherva, R., Taylor, M., Walters, R.K., Abdellaoui, A., Bigdeli, T.B., Branje, S.J.T., Brown, S.A., Casas, M., Corley, R.P., Smith, G.D., Davies, G.E., Ehli, E.A., Farrer, L.A., Fedko, I.O., Garcia-Martinez, I., Gordon, S.D., Hartman, C.A., Heath, A.C., Hickie, I.B., Hickman, M., Hopfer, C.J., Hottenga, J.J., Kahn, R.S., Kaprio, J., Korhonen, T., Kranzler, H.R., Krauter, K., Lier, P.A.C. van, Madden, P.A.F., Medland, S.E., Neale, M.C., Meeus, W.H.J., Montgomery, G.W., Nolte, I.M., Oldehinkel, A.J., Pausova, Z., Ramos-Quiroga, J.A., Richarte, V., Rose, R.J., Shin, J., Stallings, M.C., Wall, T.L., Ware, J.J., Wright, M.J., Zhao, H., Koot, J.M., Paus, T., Hewitt, J.K., Ribasés, M., Loukola, A., Boks, M.P.M., Snieder, H., Munafò, M.R., Gelernter, J., Boomsma, D.I., Martin, N.G., Gillespie, N.A., Vink, J.M., Derks, E.M., Minica, C.C., Verweij, K.J.H., Most, P.J. van der, Mbarek, H., Bernard, M., Eijk, K.R. van, Lind, P.A., Liu, M.Z., Maciejewski, D.F., Palviainen, T., Sánchez-Mora, C., Sherva, R., Taylor, M., Walters, R.K., Abdellaoui, A., Bigdeli, T.B., Branje, S.J.T., Brown, S.A., Casas, M., Corley, R.P., Smith, G.D., Davies, G.E., Ehli, E.A., Farrer, L.A., Fedko, I.O., Garcia-Martinez, I., Gordon, S.D., Hartman, C.A., Heath, A.C., Hickie, I.B., Hickman, M., Hopfer, C.J., Hottenga, J.J., Kahn, R.S., Kaprio, J., Korhonen, T., Kranzler, H.R., Krauter, K., Lier, P.A.C. van, Madden, P.A.F., Medland, S.E., Neale, M.C., Meeus, W.H.J., Montgomery, G.W., Nolte, I.M., Oldehinkel, A.J., Pausova, Z., Ramos-Quiroga, J.A., Richarte, V., Rose, R.J., Shin, J., Stallings, M.C., Wall, T.L., Ware, J.J., Wright, M.J., Zhao, H., Koot, J.M., Paus, T., Hewitt, J.K., Ribasés, M., Loukola, A., Boks, M.P.M., Snieder, H., Munafò, M.R., Gelernter, J., Boomsma, D.I., Martin, N.G., Gillespie, N.A., Vink, J.M., and Derks, E.M.
Abstract: Contains fulltext : 195854.pdf (publisher's version ) (Closed access), Background and aims: Cannabis is one of the most commonly used substances among adolescents and young adults. Earlier age at cannabis initiation is linked to adverse life outcomes including multi-substance use and dependence. This study estimated the heritability of age at first cannabis use and identify associations with genetic variants. Methods: A twin-based heritability analysis using 8,055 twins from three cohorts was performed. We then carried-out a genome wide survival meta-analysis of age at first cannabis use in a discovery sample of 24,953 individuals from nine European, North American, and Australian cohorts, and a replication sample of 3,735 individuals. Results: The twin-based heritability for age at first cannabis use was 38% (95% confidence interval [CI] 19-60%). Shared and unique environmental factors explained 39% (95% CI 20-56%) and 22% (95% CI 16-29%). The genome wide survival meta-analysis identified five SNPs on chromosome 16 within the Calcium-transporting ATPase gene (ATP2C2) at P < 5E-08. All five SNPs are in high LD (r2>0.8) with the strongest association at the intronic variant rs1574587 (P=4.09E-09). Gene-based tests of association identified the ATP2C2 gene on 16q24.1 (P=1.33e-06). Although the five SNPs and ATP2C2 did not replicate, ATP2C2 has been associated with cocaine dependence in a previous study. ATP2B2, which is a member of the same calcium signalling pathway, has been previously associated with opioid dependence. SNP-based heritability for age at first cannabis use was non-significant. Conclusion: Age at cannabis initiation appears to be moderately heritable in Western countries, and individual differences in onset can be explained by separate but correlated genetic liabilities. The significant association between age of initiation and ATP2C2 is consistent with the role of calcium signalling mechanisms in substance use disorders.
Published: 2018

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

Author: Pasman, J.A., Verweij, K.J.H., Gerring, Z., Stringer, S., Sanchez-Roige, S., Treur, J.L., Abdellaoui, A., Nivard, M.G., Baselmans, B.M.L., Ong, J.S., Ip, H.F., Zee, M.D. van der, Bartels, M., Day, F.R., Fontanillas, P., Elson, S.L., Wit, H. de, Davis, L.K., MacKillop, J., Derringer, J.L., Branje, S.J.T., Hartman, C.A., Heath, A.C., Lier, P.A.C. van, Madden, P.A.F., Mägi, R., Meeus, W.H.J., Montgomery, G.W., Oldehinkel, A.J., Pausova, Z., Ramos-Quiroga, J.A., Paus, T., Ribases, M., Kaprio, J., Boks, M.P.M., Bell, J.T., Spector, T.D., Gelernter, J., Boomsma, D.I., Martin, N.G., MacGregor, S., Perry, J.R.B., Palmer, A.A., Posthuma, D., Munafò, M.R., Gillespie, N.A., Derks, E.M., Vink, J.M., Pasman, J.A., Verweij, K.J.H., Gerring, Z., Stringer, S., Sanchez-Roige, S., Treur, J.L., Abdellaoui, A., Nivard, M.G., Baselmans, B.M.L., Ong, J.S., Ip, H.F., Zee, M.D. van der, Bartels, M., Day, F.R., Fontanillas, P., Elson, S.L., Wit, H. de, Davis, L.K., MacKillop, J., Derringer, J.L., Branje, S.J.T., Hartman, C.A., Heath, A.C., Lier, P.A.C. van, Madden, P.A.F., Mägi, R., Meeus, W.H.J., Montgomery, G.W., Oldehinkel, A.J., Pausova, Z., Ramos-Quiroga, J.A., Paus, T., Ribases, M., Kaprio, J., Boks, M.P.M., Bell, J.T., Spector, T.D., Gelernter, J., Boomsma, D.I., Martin, N.G., MacGregor, S., Perry, J.R.B., Palmer, A.A., Posthuma, D., Munafò, M.R., Gillespie, N.A., Derks, E.M., and Vink, J.M.
Abstract: Contains fulltext : 195179.pdf (publisher's version ) (Closed access), 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

13. Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence

Author: Hancock, D.B., Guo, Y., Reginsson, G.W., Gaddis, N.C., Lutz, S.M., Sherva, R., Loukola, A., Minica, C.C., Markunas, C.A., Han, Y., Young, K.A., Gudbjartsson, D.F., Gu, F., McNeil, D.W., Qaiser, B., Glasheen, C., Olson, S., Landi, M.T., Madden, P.A.F., Farrer, L.A., Vink, J.M., Saccone, N.L., Neale, M.C., Kranzler, H.R., McKay, J., Hung, R.J., Amos, C.I., Marazita, M.L., Boomsma, D.I., Baker, T.B., Gelernter, J., Kaprio, J., Caporaso, N.E., Thorgeirsson, T.E., Hokanson, J.E., Bierut, L.J., Stefansson, K., Johnson, E.O., Hancock, D.B., Guo, Y., Reginsson, G.W., Gaddis, N.C., Lutz, S.M., Sherva, R., Loukola, A., Minica, C.C., Markunas, C.A., Han, Y., Young, K.A., Gudbjartsson, D.F., Gu, F., McNeil, D.W., Qaiser, B., Glasheen, C., Olson, S., Landi, M.T., Madden, P.A.F., Farrer, L.A., Vink, J.M., Saccone, N.L., Neale, M.C., Kranzler, H.R., McKay, J., Hung, R.J., Amos, C.I., Marazita, M.L., Boomsma, D.I., Baker, T.B., Gelernter, J., Kaprio, J., Caporaso, N.E., Thorgeirsson, T.E., Hokanson, J.E., Bierut, L.J., Stefansson, K., and Johnson, E.O.
Abstract: Item does not contain fulltext, Cigarette smoking is a leading cause of preventable mortality worldwide. Nicotine dependence, which reduces the likelihood of quitting smoking, is a heritable trait with firmly established associations with sequence variants in nicotine acetylcholine receptor genes and at other loci. To search for additional loci, we conducted a genome-wide association study (GWAS) meta-analysis of nicotine dependence, totaling 38,602 smokers (28,677 Europeans/European Americans and 9925 African Americans) across 15 studies. In this largest-ever GWAS meta-analysis for nicotine dependence and the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-CHRNA3-CHRNB4 genes and further yielded a novel association in the DNA methyltransferase gene DNMT3B. The intronic DNMT3B rs910083-C allele (frequency=44-77%) was associated with increased risk of nicotine dependence at P=3.7 [times] 10-8 (odds ratio (OR)=1.06 and 95% confidence interval (CI)=1.04-1.07 for severe vs mild dependence). The association was independently confirmed in the UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6 [times] 10-4, OR=1.05, and 95% CI=1.02-1.08). Rs910083-C is also associated with increased risk of squamous cell lung carcinoma in the International Lung Cancer Consortium (N=60,586, meta-analysis P=0.0095, OR=1.05, and 95% CI=1.01-1.09). Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation in fetal brain (N=166, P=2.3 [times] 10-26) and a cis-expression QTL variant associated with higher DNMT3B expression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0 [times] 10-6) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking and consequent lung cancer.
Published: 2018

14. The association of genetic predisposition to depressive symptoms with non-suicidal and suicidal self-injuries

Author: Maciejewski, D.F., Renteria, M.E., Abdellaoui, A., Medland, S.E., Few, L.R., Gordon, S.D., Madden, P.A.F., Montgomery, G.W., Trull, T.J., Heath, A.C., Statham, D.J., Martin, N.G., Zietsch, B.P., Verweij, K.J.H., Maciejewski, D.F., Renteria, M.E., Abdellaoui, A., Medland, S.E., Few, L.R., Gordon, S.D., Madden, P.A.F., Montgomery, G.W., Trull, T.J., Heath, A.C., Statham, D.J., Martin, N.G., Zietsch, B.P., and Verweij, K.J.H.
Abstract: Contains fulltext : 162902.pdf (publisher's version ) (Open Access), Non-suicidal and suicidal self-injury are very destructive, yet surprisingly common behaviours. Depressed mood is a major risk factor for non-suicidal self-injury (NSSI), suicidal ideation and suicide attempts. We conducted a genetic risk prediction study to examine the polygenic overlap of depressive symptoms with lifetime NSSI, suicidal ideation, and suicide attempts in a sample of 6237 Australian adult twins and their family members (3740 females, mean age = 42.4 years). Polygenic risk scores for depressive symptoms significantly predicted suicidal ideation, and some predictive ability was found for suicide attempts; the polygenic risk scores explained a significant amount of variance in suicidal ideation (lowest p = 0.008, explained variance ranging from 0.10 to 0.16 %) and, less consistently, in suicide attempts (lowest p = 0.04, explained variance ranging from 0.12 to 0.23 %). Polygenic risk scores did not significantly predict NSSI. Results highlight that individuals genetically predisposed to depression are also more likely to experience suicidal ideation/behaviour, whereas we found no evidence that this is also the case for NSSI.
Published: 2017

15. Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine (vol 48, pg 856, 2016)

Author: Gormley, P., Anttila, V., Winsvold, B.S., Palta, P., Esko, T., Pers, T.H., Farh, K.H., Cuenca-Leon, E., Muona, M., Furlotte, N.A., Kurth, T., Ingason, A., McMahon, G., Ligthart, L., Terwindt, G.M., Kallela, M., Freilinger, T.M., Ran, C., Gordon, S.G., Stam, A.H., Steinberg, S., Borck, G., Koiranen, M., Quaye, L., Adams, H.H.H., Lehtimaki, T., Sarin, A.P., Wedenoja, J., Hinds, D.A., Buring, J.E., Schurks, M., Ridker, P.M., Hrafnsdottir, M.G., Stefansson, H., Ring, S.M., Hottenga, J.J., Penninx, B.W.J.H., Farkkila, M., Artto, V., Kaunisto, M., Vepsalainen, S., Malik, R., Heath, A.C., Madden, P.A.F., Martin, N.G., Montgomery, G.W., Kurki, M.I., Kals, M., Magi, R., Parn, K., Hamalainen, E., Huang, H.L., Byrnes, A.E., Franke, L., Huang, J., Stergiakouli, E., Lee, P.H., Sandor, C., Webber, C., Cader, Z., Muller-Myhsok, B., Schreiber, S., Meitinger, T., Eriksson, J.G., Salomaa, V., Heikkila, K., Loehrer, E., Uitterlinden, A.G., Hofman, A., Duijn, C.M. van, Cherkas, L., Pedersen, L.M., Stubhaug, A., Nielsen, C.S., Mannikko, M., Mihailov, E., Milani, L., Gobel, H., Esserlind, A.L., Christensen, A.F., Hansen, T.F., Werge, T., Kaprio, J., Aromaa, A.J., Raitakari, O., Ikram, M.A., Spector, T., Jarvelin, M.R., Metspalu, A., Kubisch, C., Strachan, D.P., Ferrari, M.D., Belin, A.C., Dichgans, M., Wessman, M., Maagdenberg, A.M.J.M. van den, Zwart, J.A., Boomsma, D.I., Smith, G.D., Stefansson, K., Eriksson, N., Daly, M.J., Neale, B.M., Olesen, J., Chasman, D.I., Nyholt, D.R., Palotie, A., and Int Headache Genetics Consortium
Published: 2016

16. No association of candidate genes with cannabis use in a large sample of Australian twin families

Author: Verweij, K.J.H., Zietsch, B.P., Liu, J.Z., Medland, S.E., Lynskey, M.T., Madden, P.A.F., Agrawal, A., Montgomery, G.W., Heath, A.C., Martin, N.G., and Clinical Developmental Psychology
Subjects: SDG 3 - Good Health and Well-being
Abstract: While there is solid evidence that cannabis use is heritable, attempts to identify genetic influences at the molecular level have yielded mixed results. Here, a large twin family sample (n = 7452) was used to test for association between 10 previously reported candidate genes and lifetime frequency of cannabis use using a gene-based association test. None of the candidate genes reached even nominal significance (P < 0.05). The lack of replication may point to our limited understanding of the neurobiology of cannabis involvement and also to potential publication bias and false-positive findings in previous studies. © 2011 Society for the Study of Addiction.
Published: 2012
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17. Seasonality shows evidence for polygenic architecture and genetic correlation with schizophrenia and bipolar disorder

Author: Byrne, E.M., Boomsma, D.I., Martin, N.G., Penninx, B.W.J.H., de Geus, E.J.C., Hoogendijk, W.J.G., Hottenga, J.J., Middeldorp, C.M., Nyholt, DR, Smit, J.H., van den Oord, E.J., Grootheest, G., Willemsen, G., Zitman, F.G., Neale, B.M., Sullivan, P.F., Raheja, U.K., Stephens, S.H., Heath, A.C., Madden, P.A.F., Vaswani, D., Nijjar, G.V., Ryan, K.A., Youssufi, H., Gehrman, P.R., Shuldiner, A.R., Montgomery, G.W., Wray, N.R., Nelson, E.C., Mitchell, B.D., Postolache, T.T., Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Mental health
Subjects: Adult, Male, Netherlands Twin Register (NTR), Multifactorial Inheritance, Bipolar Disorder, Genotype, Genome-wide association study, Single-nucleotide polymorphism, Genetic correlation, Life Change Events, Young Adult, mental disorders, medicine, Diseases in Twins, Humans, Bipolar disorder, Genetic association, Aged, Psychiatric Status Rating Scales, Depressive Disorder, Major, Middle Aged, medicine.disease, United States, Psychiatry and Mental health, Alcoholism, Mood, Schizophrenia, Major depressive disorder, Female, Schizophrenic Psychology, Queensland, Psychology, Amish, Clinical psychology
Abstract: OBJECTIVE: To test common genetic variants for association with seasonality (seasonal changes in mood and behavior) and to investigate whether there are shared genetic risk factors between psychiatric disorders and seasonality. METHOD: Genome-wide association studies (GWASs) were conducted in Australian (between 1988 and 1990 and between 2010 and 2013) and Amish (between May 2010 and December 2011) samples in whom the Seasonal Pattern Assessment Questionnaire (SPAQ) had been administered, and the results were meta-analyzed in a total sample of 4,156 individuals. Genetic risk scores based on results from prior large GWAS studies of bipolar disorder, major depressive disorder (MDD), and schizophrenia were calculated to test for overlap in risk between psychiatric disorders and seasonality. RESULTS: The most significant association was with rs11825064 (P = 1.7 × 10⁻⁶, β = 0.64, standard error = 0.13), an intergenic single nucleotide polymorphism (SNP) found on chromosome 11. The evidence for overlap in risk factors was strongest for schizophrenia and seasonality, with the schizophrenia genetic profile scores explaining 3% of the variance in log-transformed global seasonality scores. Bipolar disorder genetic profile scores were also associated with seasonality, although at much weaker levels (minimum P value = 3.4 × 10⁻³), and no evidence for overlap in risk was detected between MDD and seasonality. CONCLUSIONS: Common SNPs of large effect most likely do not exist for seasonality in the populations examined. As expected, there were overlapping genetic risk factors for bipolar disorder (but not MDD) with seasonality. Unexpectedly, the risk for schizophrenia and seasonality had the largest overlap, an unprecedented finding that requires replication in other populations and has potential clinical implications considering overlapping cognitive deficits in seasonal affective disorders and schizophrenia.
Published: 2015
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18. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32330 subjects from the International Cannabis Consortium

Author: Stringer, S., Minica, C.C., Verweij, K.J.H., Mbarek, H., Bernard, M., Derringer, J.L., Eijk, K.R. van, Isen, J.D., Loukola, A., Maciejewski, D.F., Mihailov, E., Most, P.J. van der, Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J.J., Abdellaoui, A., Bigdeli, T.B., Branje, S.J.T., Brown, S.A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S.D., Harris, J.M., Hartman, C.A., Henders, A.K., Heath, A.C., Hickie, I.B., Hickman, M., Hopfer, C.J., Hottenga, J.J., Huizink, A.C., Irons, D.E., Kahn, R.S., Korhonen, T., Kranzler, H.R., Krauter, K., Lier, P.A.C. van, Lubke, G.H., Madden, P.A.F., Mägi, R., McGue, M.K., Medland, S.E., Meeus, W.H.J., Miller, M.B., Montgomery, G.W., Nivard, M.G., Nolte, I.M., Oldehinkel, A.J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J.A., Richarte, V., Rose, R.J., Shin, J., Stallings, M.C., Stiby, A.I., Wall, T.L., Wright, M.J., Koot, J.M., Paus, T., Hewitt, J.K., Ribasés, M., Kaprio, J., Boks, M.P.M., Snieder, H., Spector, T., Munafò, M.R., Metspalu, A., Gelernter, J., Boomsma, D.I., Iacono, W.G., Martin, N.G., Gillespie, N.A., Derks, E.M., Vink, J.M., Stringer, S., Minica, C.C., Verweij, K.J.H., Mbarek, H., Bernard, M., Derringer, J.L., Eijk, K.R. van, Isen, J.D., Loukola, A., Maciejewski, D.F., Mihailov, E., Most, P.J. van der, Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J.J., Abdellaoui, A., Bigdeli, T.B., Branje, S.J.T., Brown, S.A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S.D., Harris, J.M., Hartman, C.A., Henders, A.K., Heath, A.C., Hickie, I.B., Hickman, M., Hopfer, C.J., Hottenga, J.J., Huizink, A.C., Irons, D.E., Kahn, R.S., Korhonen, T., Kranzler, H.R., Krauter, K., Lier, P.A.C. van, Lubke, G.H., Madden, P.A.F., Mägi, R., McGue, M.K., Medland, S.E., Meeus, W.H.J., Miller, M.B., Montgomery, G.W., Nivard, M.G., Nolte, I.M., Oldehinkel, A.J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J.A., Richarte, V., Rose, R.J., Shin, J., Stallings, M.C., Stiby, A.I., Wall, T.L., Wright, M.J., Koot, J.M., Paus, T., Hewitt, J.K., Ribasés, M., Kaprio, J., Boks, M.P.M., Snieder, H., Spector, T., Munafò, M.R., Metspalu, A., Gelernter, J., Boomsma, D.I., Iacono, W.G., Martin, N.G., Gillespie, N.A., Derks, E.M., and Vink, J.M.
Abstract: Contains fulltext : 156357.pdf (publisher's version ) (Open Access), Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P<0.001) of the liability of lifetime cannabis use. Finally, there was a strong genetic correlation (rg=0.83; P=1.85 × 10-8) between lifetime cannabis use and lifetime cigarette smoking implying that the SNP effect sizes of the two traits are highly correlated. This is the largest meta-analysis of cannabis GWA studies to date, revealing important new insights into the genetic pathways of lifetime cannabis use. Future functional studies should explore the impact of the identified genes on the biological mechanisms of cannabis use.
Published: 2016

19. Cannabis involvement and nonsuicidal self-injury: A discordant twin approach

Author: Few, L.R., Grant, J.D., Nelson, E.C., Trull, T.J., Grucza, R.A., Bucholz, K.K., Verweij, K.J.H., Martin, N.G., Statham, D.J., Madden, P.A.F., Heath, A.C., Lynskey, M.T., Agrawal, A., Few, L.R., Grant, J.D., Nelson, E.C., Trull, T.J., Grucza, R.A., Bucholz, K.K., Verweij, K.J.H., Martin, N.G., Statham, D.J., Madden, P.A.F., Heath, A.C., Lynskey, M.T., and Agrawal, A.
Abstract: Item does not contain fulltext, OBJECTIVE: Cannabis use, particularly at an early age, has been linked to suicidal thoughts and behavior, but minimal work has examined the association between cannabis use and lifetime nonsuicidal self-injury (NSSI). The current study aims to characterize the overlap between lifetime and early cannabis use and NSSI and to examine genetic and environmental mechanisms of this association. METHOD: Adult male and female twins from the Australian Twin Registry (N = 9,583) were used to examine the odds of NSSI associated with lifetime cannabis use and early cannabis use (i.e., <17 years of age). These associations were also examined within monozygotic (MZ) twins discordant for cannabis use and MZ twins discordant for early cannabis use. Analyses were replicated in an independent sample of female twins (n = 3,787) accounting for the age at onset of cannabis use and NSSI. RESULTS: Lifetime cannabis use (odds ratio [OR] = 2.84, 95% CI [2.23, 3.61]) and early cannabis use were associated with increased odds of NSSI (OR = 2.15, 95% CI [1.75, 2.65]), and this association remained when accounting for covariates. The association was only significant, however, in MZ twin pairs discordant for early cannabis use (OR = 3.20, 95% CI [1.17, 8.73]). Replication analyses accounting for the temporal ordering of cannabis use and NSSI yielded similar findings of nominal significance. CONCLUSIONS: Results suggest that NSSI is associated with cannabis involvement via differing mechanisms. For lifetime cannabis use, the lack of association in discordant pairs suggests the role of shared genes and family environment. However, in addition to such shared familial influences, person-specific and putatively causal factors contribute to the relationship between early cannabis use and NSSI. Therefore, delaying the onset of cannabis use may reduce exposure to influences that exacerbate vulnerabilities to NSSI.
Published: 2016

20. Meta-analysis of genome-wide association studies for extraversion: Findings from the Genetics of Personality Consortium

Author: Berg, S.M. van den, Moor, M.H.M. de, Verweij, K.J.H., Krueger, R.F., Luciano, M., Arias Vasquez, A., Matteson, L.K., Derringer, J.L., Esko, T., Amin, N., Gordon, S.D., Hansell, N.K., Hart, A.B., Seppälä, I., Huffman, J.E., Konte, B., Lahti, J., Lee, M., Miller, M., Nutile, T., Tanaka, T., Teumer, A., Viktorin, A., Wedenoja, J., Abdellaoui, A., Abecasis, G.R., Adkins, D.E., Agrawal, A., Allik, J., Appel, K., Bigdeli, T.B., Busonero, F., Campbell, H., Costa, P.T., Smith, G.D., Davies, G., Wit, H. de, Ding, J., Engelhardt, B.E., Eriksson, J.G., Fedko, I.O., Ferrucci, L., Franke, B., Giegling, I., Grucza, R.A., Hartmann, A.M., Heath, A.C., Heinonen, K., Henders, A.K., Homuth, G., Hottenga, J.J., Iacono, W.G., Janzing, J.G., Jokela, M., Karlsson, R., Kemp, J.P., Kirkpatrick, M.G., Latvala, A., Lehtimäki, T., Liewald, D.C., Madden, P.A.F., Magri, C., Magnusson, P.K.E., Marten, J., Maschio, A., Mbarek, H., Medland, S.E., Mihailov, E., Milaneschi, Y., Montgomery, G.W., Nauck, M., Nivard, M.G., Ouwens, K.G., Palotie, A., Pettersson, E., Polasek, O., Qian, Y., Pulkki-Raback, L., Raitakari, O.T., Realo, A., Rose, R.J., Ruggiero, D., Schmidt, C.O., Slutske, W.S., Sorice, R., Starr, J.M., St Pourcain, B., Sutin, A.R., Timpson, N.J., Trochet, H., Vermeulen, H.H.M., Vuoksimaa, E., Widen, E., Wouda, J., Wright, M.J., Zgaga, L., Porteous, D.J., Minelli, A., Palmer, A.A., Rujescu, D., Ciullo, M., Hayward, C., Rudan, I., Metspalu, A., Kaprio, J., Deary, I.J., Raikkonen, K., Wilson, J.F., Keltikangas-Jarvinen, L., Bierut, L.J., Hettema, J.M., Grabe, H.J., Penninx, B.W.J.H., Duijn, C.M. van, Evans, D.M., Schlessinger, D., Pedersen, N.L., Terracciano, A., McGue, M.K., Martin, N.G., Boomsma, D.I., Berg, S.M. van den, Moor, M.H.M. de, Verweij, K.J.H., Krueger, R.F., Luciano, M., Arias Vasquez, A., Matteson, L.K., Derringer, J.L., Esko, T., Amin, N., Gordon, S.D., Hansell, N.K., Hart, A.B., Seppälä, I., Huffman, J.E., Konte, B., Lahti, J., Lee, M., Miller, M., Nutile, T., Tanaka, T., Teumer, A., Viktorin, A., Wedenoja, J., Abdellaoui, A., Abecasis, G.R., Adkins, D.E., Agrawal, A., Allik, J., Appel, K., Bigdeli, T.B., Busonero, F., Campbell, H., Costa, P.T., Smith, G.D., Davies, G., Wit, H. de, Ding, J., Engelhardt, B.E., Eriksson, J.G., Fedko, I.O., Ferrucci, L., Franke, B., Giegling, I., Grucza, R.A., Hartmann, A.M., Heath, A.C., Heinonen, K., Henders, A.K., Homuth, G., Hottenga, J.J., Iacono, W.G., Janzing, J.G., Jokela, M., Karlsson, R., Kemp, J.P., Kirkpatrick, M.G., Latvala, A., Lehtimäki, T., Liewald, D.C., Madden, P.A.F., Magri, C., Magnusson, P.K.E., Marten, J., Maschio, A., Mbarek, H., Medland, S.E., Mihailov, E., Milaneschi, Y., Montgomery, G.W., Nauck, M., Nivard, M.G., Ouwens, K.G., Palotie, A., Pettersson, E., Polasek, O., Qian, Y., Pulkki-Raback, L., Raitakari, O.T., Realo, A., Rose, R.J., Ruggiero, D., Schmidt, C.O., Slutske, W.S., Sorice, R., Starr, J.M., St Pourcain, B., Sutin, A.R., Timpson, N.J., Trochet, H., Vermeulen, H.H.M., Vuoksimaa, E., Widen, E., Wouda, J., Wright, M.J., Zgaga, L., Porteous, D.J., Minelli, A., Palmer, A.A., Rujescu, D., Ciullo, M., Hayward, C., Rudan, I., Metspalu, A., Kaprio, J., Deary, I.J., Raikkonen, K., Wilson, J.F., Keltikangas-Jarvinen, L., Bierut, L.J., Hettema, J.M., Grabe, H.J., Penninx, B.W.J.H., Duijn, C.M. van, Evans, D.M., Schlessinger, D., Pedersen, N.L., Terracciano, A., McGue, M.K., Martin, N.G., and Boomsma, D.I.
Abstract: Contains fulltext : 156154.pdf (publisher's version ) (Closed access), 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. Linkage analysis of multivariate dichotomous reponse with latent class models

Author: Todorov, A.A., Rassmussen, E., Seth, J.K., Madden, P.A.F., and Heath, A.C.
Subjects: Genetic research -- Analysis, Human genetics -- Research, Biological sciences
Published: 2000

22. Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory

Author: van den Berg, S.M., de Moor, M.H.M., McGue, M., Pettersson, E., Terracciano, A., Verweij, C.J.H., Amin, N., Derringer, J., Esko, T., Grootheest, G., Hansell, N.K., Huffman, J., Konte, B., Lahti, J., Luciano, M., Matteson, L.K., Viktorin, A., Wouda, J., Agrawal, A., Allik, J., Bierut, L.J., Broms, U., Campbell, H., Smith, G.D., Eriksson, J.G., Ferrucci, L., Franke, B., Fox, J.P., de Geus, E.J.C., Giegling, I., Gow, A. J., Grucza, R.A., Hartmann, A.M., Heath, A.C., Heikkilä, K., Iacono, W.G., Janzing, J., Jokela, M, Kiemeney, L., Lehtimäki, T., Madden, P.A.F., Magnusson, P.K.E., Northstone, K., Nutile, T., Ouwens, K.G., Palotie, A., Pattie, A., Pesonen, A.K., Pulkki-Råback, L., Raitakari, O.T., Realo, A., Rose, R.J., Ruggiero, D., Seppälä, I., Slutske, W.S., Smyth, D.C., Sorice, R., Starr, J.M., Sutin, A.R., Tanaka, T., Verhagen, J, Vermeulen, S., Vuoksimaa, E., Widen, E., Willemsen, G., Wright, M.J., Zgaga, L., Rujescu, D., Metspalu, A., Wilson, J.F., Ciullo, M., Hayward, C., Rudan, I., Deary, I.J., Räikkönen, K., Arias-Vasquez, A., Costa, P.T., Keltikangas-Järvinen, L., van Duijn, C.M., Penninx, B.W.J.H., Krueger, R.F., Evans, D.M., Kaprio, J., Pedersen, N.L., Martin, N.G., Boomsma, D.I., Biological Psychology, Clinical Child and Family Studies, EMGO+ - Mental Health, Psychiatry, and EMGO - Mental health
Subjects: Netherlands Twin Register (NTR)
Abstract: Mega- or meta-analytic studies (e.g. genome-wide association studies) are increasingly used in behavior genetics. An issue in such studies is that phenotypes are often measured by different instruments across study cohorts, requiring harmonization of measures so that more powerful fixed effect meta-analyses can be employed. Within the Genetics of Personality Consortium, we demonstrate for two clinically relevant personality traits, Neuroticism and Extraversion, how Item-Response Theory (IRT) can be applied to map item data from different inventories to the same underlying constructs. Personality item data were analyzed in >160,000 individuals from 23 cohorts across Europe, USA and Australia in which Neuroticism and Extraversion were assessed by nine different personality inventories. Results showed that harmonization was very successful for most personality inventories and moderately successful for some. Neuroticism and Extraversion inventories were largely measurement invariant across cohorts, in particular when comparing cohorts from countries where the same language is spoken. The IRT-based scores for Neuroticism and Extraversion were heritable (48 and 49 %, respectively, based on a meta-analysis of six twin cohorts, total N = 29,496 and 29,501 twin pairs, respectively) with a significant part of the heritability due to non-additive genetic factors. For Extraversion, these genetic factors qualitatively differ across sexes. We showed that our IRT method can lead to a large increase in sample size and therefore statistical power. The IRT approach may be applied to any mega- or meta-analytic study in which item-based behavioral measures need to be harmonized. © 2014 The Author(s).
Published: 2014
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23. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author: Winkler, T.W., Justice, A.E., Graff, M., Barata, L., Feitosa, M.F., Chu, S., Czajkowski, J., Esko, T., Fall, T., Kilpelainen, T.O., Lu, Y., Magi, R., Mihailov, E., Pers, T.H., Rueger, S., Teumer, A., Ehret, G.B., Ferreira, T., Heard-Costa, N.L., Karjalainen, J., Lagou, V., Mahajan, A., Neinast, M.D., Prokopenko, I., Simino, J., Teslovich, T.M., Jansen, R., Westra, H.J., White, C.C., Absher, D., Ahluwalia, T.S., Ahmad, S., Albrecht, E., Ferreira Alves, A.C., Bragg-Gresham, J.L., Craen, A.J. de, Bis, J.C., Bonnefond, A., Boucher, G., Cadby, G., Cheng, Y.C., Chiang, C.W., Delgado, G., Demirkan, A., Dueker, N., Eklund, N., Eiriksdottir, G., Eriksson, J., Feenstra, B., Fischer, K., Frau, F., Galesloot, T.E., Geller, F., Goel, A., Gorski, M., Grammer, T.B., Gustafsson, S., Haitjema, S., Hottenga, J.J., Huffman, J.E., Jackson, A.U., Jacobs, K.B., Johansson, A, Kaakinen, M., Kleber, M.E., Lahti, J., Leach, I.M., Lehne, B., Liu, Y., Lo, K.S., Lorentzon, M., Luan, J., Madden, P.A.F., Mangino, M., McKnight, B., Medina-Gomez, C., Monda, K.L., Montasser, M.E., Muller, G., Muller-Nurasyid, M., Nolte, I.M., Panoutsopoulou, K., Pascoe, L., Paternoster, L., Rayner, N.W., Renstrom, F., Rizzi, F., Rose, L.M., Ryan, K.A., Salo, P., Sanna, S., Scharnagl, H., Shi, J., Smith, A.V., Southam, L., Stancakova, A., Steinthorsdottir, V., Strawbridge, R.J., Sung, Y.J., Tachmazidou, I., Kiemeney, B., Vermeulen, S.H., et al., Winkler, T.W., Justice, A.E., Graff, M., Barata, L., Feitosa, M.F., Chu, S., Czajkowski, J., Esko, T., Fall, T., Kilpelainen, T.O., Lu, Y., Magi, R., Mihailov, E., Pers, T.H., Rueger, S., Teumer, A., Ehret, G.B., Ferreira, T., Heard-Costa, N.L., Karjalainen, J., Lagou, V., Mahajan, A., Neinast, M.D., Prokopenko, I., Simino, J., Teslovich, T.M., Jansen, R., Westra, H.J., White, C.C., Absher, D., Ahluwalia, T.S., Ahmad, S., Albrecht, E., Ferreira Alves, A.C., Bragg-Gresham, J.L., Craen, A.J. de, Bis, J.C., Bonnefond, A., Boucher, G., Cadby, G., Cheng, Y.C., Chiang, C.W., Delgado, G., Demirkan, A., Dueker, N., Eklund, N., Eiriksdottir, G., Eriksson, J., Feenstra, B., Fischer, K., Frau, F., Galesloot, T.E., Geller, F., Goel, A., Gorski, M., Grammer, T.B., Gustafsson, S., Haitjema, S., Hottenga, J.J., Huffman, J.E., Jackson, A.U., Jacobs, K.B., Johansson, A, Kaakinen, M., Kleber, M.E., Lahti, J., Leach, I.M., Lehne, B., Liu, Y., Lo, K.S., Lorentzon, M., Luan, J., Madden, P.A.F., Mangino, M., McKnight, B., Medina-Gomez, C., Monda, K.L., Montasser, M.E., Muller, G., Muller-Nurasyid, M., Nolte, I.M., Panoutsopoulou, K., Pascoe, L., Paternoster, L., Rayner, N.W., Renstrom, F., Rizzi, F., Rose, L.M., Ryan, K.A., Salo, P., Sanna, S., Scharnagl, H., Shi, J., Smith, A.V., Southam, L., Stancakova, A., Steinthorsdottir, V., Strawbridge, R.J., Sung, Y.J., Tachmazidou, I., Kiemeney, B., Vermeulen, S.H., and et al.
Abstract: Contains fulltext : 154121.PDF (publisher's version ) (Open Access), Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men 50y, women 50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (>/=50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
Published: 2015

24. Meta-analysis of genome-wide association studies for neuroticism, and the polygenic association with Major Depressive Disorder

Author: Moor, M.H.M. de, Berg, S.M. van den, Verweij, K.J.H., Krueger, R.F., Luciano, M., Arias Vasquez, A., Matteson, L.K., Derringer, J.L., Esko, T., Amin, N., Gordon, S.D., Hansell, N.K., Hart, A.B., Seppälä, I., Huffman, J.E., Konte, B., Lahti, J., Lee, M., Miller, M., Nutile, T., Tanaka, T., Teumer, A., Viktorin, A., Wedenoja, J., Abdellaoui, A., Abecasis, G.R., Adkins, D.E., Agrawal, A., Allik, J., Appel, K., Bigdeli, T.B., Busonero, F., Campbell, H., Costa, P.T., Smith, G.D., Davies, G., Wit, H. de, Ding, J., Engelhardt, B.E., Eriksson, J.G., Fedko, I.O., Ferrucci, L., Franke, B., Giegling, I., Grucza, R.A., Hartmann, A.M., Heath, A.C., Heinonen, K., Henders, A.K., Homuth, G., Hottenga, J.J., Iacono, W.G., Janzing, J.G., Jokela, M., Karlsson, R., Kemp, J.P., Kirkpatrick, M.G., Latvala, A., Lehtimäki, T., Liewald, D.C., Madden, P.A.F., Magri, C., Magnusson, P.K.E., Marten, J., Maschio, A., Medland, S.E., Mihailov, E., Milaneschi, Y., Montgomery, G.W., Nauck, M., Ouwens, K.G., Palotie, A., Pettersson, E., Polasek, O., Qian, Y., Pulkki-Raback, L., Raitakari, O.T., Realo, A., Rose, R.J., Ruggiero, D., Schmidt, C.O., Slutske, W.S., Sorice, R., Starr, J.M., St Pourcain, B., Sutin, A.R., Timpson, N.J., Trochet, H., Vermeulen, H.H.M., Vuoksimaa, E., Widen, E., Wouda, J., Wright, M.J., Zgaga, L., Porteous, D.J., Minelli, A., Palmer, A.A., Rujescu, D., Ciullo, M., Hayward, C., Rudan, I., Metspalu, A., Kaprio, J., Deary, I.J., Raikkonen, K., Wilson, J.F., Keltikangas-Jarvinen, L., Bierut, L.J., Hettema, J.M., Grabe, H.J., Penninx, B.W.J.H., Duijn, C.M. van, Evans, D.M., Schlessinger, D., Pedersen, N.L., Terracciano, A., McGue, M.K., Martin, N.G., Boomsma, D.I., Moor, M.H.M. de, Berg, S.M. van den, Verweij, K.J.H., Krueger, R.F., Luciano, M., Arias Vasquez, A., Matteson, L.K., Derringer, J.L., Esko, T., Amin, N., Gordon, S.D., Hansell, N.K., Hart, A.B., Seppälä, I., Huffman, J.E., Konte, B., Lahti, J., Lee, M., Miller, M., Nutile, T., Tanaka, T., Teumer, A., Viktorin, A., Wedenoja, J., Abdellaoui, A., Abecasis, G.R., Adkins, D.E., Agrawal, A., Allik, J., Appel, K., Bigdeli, T.B., Busonero, F., Campbell, H., Costa, P.T., Smith, G.D., Davies, G., Wit, H. de, Ding, J., Engelhardt, B.E., Eriksson, J.G., Fedko, I.O., Ferrucci, L., Franke, B., Giegling, I., Grucza, R.A., Hartmann, A.M., Heath, A.C., Heinonen, K., Henders, A.K., Homuth, G., Hottenga, J.J., Iacono, W.G., Janzing, J.G., Jokela, M., Karlsson, R., Kemp, J.P., Kirkpatrick, M.G., Latvala, A., Lehtimäki, T., Liewald, D.C., Madden, P.A.F., Magri, C., Magnusson, P.K.E., Marten, J., Maschio, A., Medland, S.E., Mihailov, E., Milaneschi, Y., Montgomery, G.W., Nauck, M., Ouwens, K.G., Palotie, A., Pettersson, E., Polasek, O., Qian, Y., Pulkki-Raback, L., Raitakari, O.T., Realo, A., Rose, R.J., Ruggiero, D., Schmidt, C.O., Slutske, W.S., Sorice, R., Starr, J.M., St Pourcain, B., Sutin, A.R., Timpson, N.J., Trochet, H., Vermeulen, H.H.M., Vuoksimaa, E., Widen, E., Wouda, J., Wright, M.J., Zgaga, L., Porteous, D.J., Minelli, A., Palmer, A.A., Rujescu, D., Ciullo, M., Hayward, C., Rudan, I., Metspalu, A., Kaprio, J., Deary, I.J., Raikkonen, K., Wilson, J.F., Keltikangas-Jarvinen, L., Bierut, L.J., Hettema, J.M., Grabe, H.J., Penninx, B.W.J.H., Duijn, C.M. van, Evans, D.M., Schlessinger, D., Pedersen, N.L., Terracciano, A., McGue, M.K., Martin, N.G., and Boomsma, D.I.
Abstract: Contains fulltext : 156183.pdf (publisher's version ) (Open Access), IMPORTANCE Neuroticism is a pervasive risk factor for psychiatric conditions. It genetically overlaps with major depressive disorder (MDD) and is therefore an important phenotype for psychiatric genetics. The Genetics of Personality Consortium has created a resource for genome-wide association analyses of personality traits in more than 63 000 participants (including MDD cases). OBJECTIVES To identify genetic variants associated with neuroticism by performing a meta-analysis of genome-wide association results based on 1000 Genomes imputation; to evaluate whether common genetic variants as assessed by single-nucleotide polymorphisms (SNPs) explain variation in neuroticism by estimating SNP-based heritability; and to examine whether SNPs that predict neuroticism also predict MDD. DESIGN, SETTING, AND PARTICIPANTS Genome-wide association meta-analysis of 30 cohorts with genome-wide genotype, personality, and MDD data from the Genetics of Personality Consortium. The study included 63 661 participants from 29 discovery cohorts and 9786 participants from a replication cohort. Participants came from Europe, the United States, or Australia. Analyses were conducted between 2012 and 2014. MAIN OUTCOMES AND MEASURES Neuroticism scores harmonized across all 29 discovery cohorts by item response theory analysis, and clinical MDD case-control status in 2 of the cohorts. RESULTS A genome-wide significant SNP was found on 3p14 in MAGI1 (rs35855737; P = 9.26 x 10(-9) in the discovery meta-analysis). This association was not replicated (P = .32), but the SNP was still genome-wide significant in the meta-analysis of all 30 cohorts (P = 2.38 x 10(-8)). Common genetic variants explain 15% of the variance in neuroticism. Polygenic scores based on the meta-analysis of neuroticism in 27 cohorts significantly predicted neuroticism (1.09 x 10(-12) < P < .05) and MDD (4.02 x 10(-9) < P < .05) in the 2 other cohorts. CONCLUSIONS AND RELEVANCE This study identifies a novel locus for neuroticism
Published: 2015

25. Identification of risk loci with shared effects on five major psychiatric disorders:a genome-wide analysis

Author: Smoller, J.W., Ripke, S., Lee, P.H., Neale, B., Nurnberger, J.I., Santangelo, S., Sullivan, P.F., Perlis, R.H., Purcell, S.M., Fanous, A., Neale, M.C., Rietschel, M., Schulze, T.G., Thapar, A., Anney, R., Buitelaar, J.K., Farone, S.V., Hoogendijk, W.J.G., Levinson, D.F., Lesch, K.P., Riley, B., Schachar, R., Sonuga-Barke, E.J., Absher, D., Agartz, I., Akil, H., Amin, F., Andreassen, O.A., Anjorin, A., Arking, D., Asherson, P., Azevedo, M.H., Backlund, L., Badner, J.A., Banaschewski, T., Barchas, J.D., Barnes, M.R., Bass, N., Bauer, M.C.R., Bellivier, F., Bergen, S.E., Berrettini, W., Bettecken, T., Biederman, J, Binder, E.B., Black, D.W., Blackwood, D.H., Bloss, C.S., Boehnke, M., Boomsma, D.I., Breen, G., Breuer, R., Buccola, N.G., Bunner, W.E., Burmeister, M., Buxbaum, J.D., Byerley, W. F., Sian, C., Cantor, R.M., Chakravarti, A., Chambert, K., Chicon, S., Cloniger, C.R., Collier, D.A., Cook, E., Coon, H., Corvin, A., Coryell, W.H., Craig, D.W., Craig, I.W., Curtis, D., Czamara, D., Daly, M., Datta, S., Day, R., de Geus, E.J.C., Degenhardt, F., Devlin, B., Srdjan, D., Doyle, A.E., Duan, J., Dudbridge, F., Edenberg, H.J., Elkin, A., Etain, B., Farmer, A.E., Ferreira, M.A.R., Ferrier, I.N., Flickinger, M., Foroud, T., Frank, J., Franke, B., Fraser, C., Freedman, R., Freimer, N.B., Friedl, M., Frisén, L., Gejman, P.V., Georgieva, L., Gershon, E.S., Giegling, I., Gill, M., Gordon, S.D., Gordon-Smith, K., Green, E.K., Greenwood, T.A., Gross, M., Grozeva, D., Guan, W., Gurling, H., Gustafsson, O., Hakonarson, H., Hamilton, S.P., Hamshere, M.L., Hansen, T.F., Hartmann, A.M., Hautzinger, M., Heath, A.C., Henders, A.K., Herms, S., Hickie, I.B., Hipolito, M., Hoefels, S., Holmans, P.A., Holsboer, F., Hottenga, J.J., Hultman, C. M., Ingason, A., Ising, M., Jamain, S., Jones, E.G., Jones, L., Jones, I., Jung-Ying, T., Kahler, A., Kandaswamy, R., Keller, M.C., Kelsoe, J., Kennedy, J.L., Kenny, E., Kim, Y., Kirov, G. K., Knowles, J.A., Kohli, M.A., Koller, D.L., Konte, B., Korszun, A., Krasucki, R., Kuntsi, J., Phoenix, K., Landén, M., Langstrom, N., Lathrop, M., Lawrence, J., Lawson, W.B., Leboyer, M., Lencz, T., Lewis, C.M., Li, J., Lichtenstein, P., Lieberman, J. A., Lin, D., Liu, C., Lohoff, F.W., Loo, S.K., Lucae, S., MacIntyre, D.J., Madden, P.A.F., Magnusson, P., Mahon, P.B., Maier, W., Malhotra, A.K., Mattheisen, M., Matthews, K., Mattingsdal, M., McCarroll, S., McGhee, K.A., McGough, J.J., McGrath, P.J., McGuffin, P., McInnis, M.G., McIntosh, A., McKinney, R., McClean, A.W., McMahon, F.J., McQuillin, A., Medeiros, H., Medland, S.E., Meier, S., Melle, I., Meng, F., Middeldorp, C.M., Middleton, L., Vihra, M., Mitchell, P.B., Montgomery, G.W., Moran, J., Morken, G., Morris, D.W., Moskvina, V., Mowry, B. J., Muglia, P., Mühleisen, T.W., Muir, W.J., Müller-Myhsok, B., Myers, R.M., Nelson, S.F., Nievergelt, C.M., Nikolovq, I., Nimgaonkar, V.L., Nolen, W.A., Nöthen, M.M., Nwulia, E.A., Nyholt, DR, O'Donovan, M.C., O'Dushlaine, C., Oades, R.D., Olincy, A., Olsen, L., Ophoff, R.A., Osby, U., Óskarsson, H., Owen, M.J., Palotie, A., Pato, M.T., Pato, C.N., Penninx, B.W.J.H., Pergadia, M.L., Petursson, H., Pickard, B.S., Pimm, J., Piven, J., Porgeirsson, P., Posthuma, D., Potash, J.B., Propping, J., Puri, V., Quested, D., Quinn, E.M., Rasmussen, H.B., Raychaudhuri, S., Rehnström, K., Reif, A., Rice, J., Rossin, L., Rothenberger, A., Rouleau, G., Ruderfer, D., Rujescu, D., Sanders, A.R., Schalling, M., Schatzberg, A.F., Scheftner, W.A., Schellenberg, G.D., Schofield, P.R., Schork, N.J., Schumacher, J., Schwarz, M.M., Scolnick, E., Scott, L.J., Shi, J., Shillling, P.D., Shyn, S.I., Sigurdsson, E., Silverman, J.M., Sklar, P., Slager, S.L., Smalley, S.L., Smit, J.H., Smith, E.N., Sonuga-Barke, E., St Clair, D., State, M., Stefansson, K., Stefansson, H., Steffans, M., Steinberg, S., Steinhausen, H.C., Strauss, J., Strohmaier, J., Stroup, T.S., Sutcliffe, J., Szatmari, P., Szelinger, S., Thirumalai, S., Thompson, R.C., Tozzi, F., Treutlein, J., Uhr, M., van den Oord, E.J., Grootheest, G., Vieland, V., Vincent, J.B., Visscher, P.M., Watson, S.J., Weissman, M.M., Werge, T., Wienker, T.F., Willemsen, G., Williamson, R., Witt, S.H., Wray, N.R., Wright, A., Xu, W., Young, A.H., Zammit, S., Zandi, P.P., Zhang, P., Zitman, F.G., Zöllner, S., Kendler, K.S., Psychiatry, Human genetics, Epidemiology and Data Science, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Biological Psychology, Functional Genomics, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, Psychiatrie & Neuropsychologie, Farmacologie en Toxicologie, RS: CARIM School for Cardiovascular Diseases, RS: MHeNs School for Mental Health and Neuroscience, Oades, Robert D. (Beitragende*r), and Oades, Robert D.
Subjects: Netherlands Twin Register (NTR), Adult, medicine.medical_specialty, Bipolar Disorder, Calcium Channels, L-Type, Population, Medizin, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory [IGMD 3], medicine, ddc:61, Attention deficit hyperactivity disorder, Humans, DCN PAC - Perception action and control NCEBP 9 - Mental health, ddc:610, Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Bipolar disorder, Age of Onset, Psychiatry, education, Child, Genetics, education.field_of_study, Depressive Disorder, Major, General Medicine, Genomic disorders and inherited multi-system disorders [DCN PAC - Perception action and control IGMD 3], medicine.disease, Logistic Models, Autism spectrum disorder, Schizophrenia, Attention Deficit Disorder with Hyperactivity, Child Development Disorders, Pervasive, Genetic Loci, Expression quantitative trait loci, Major depressive disorder, Genome-Wide Association Study
Abstract: Item does not contain fulltext BACKGROUND: Findings from family and twin studies suggest that genetic contributions to psychiatric disorders do not in all cases map to present diagnostic categories. We aimed to identify specific variants underlying genetic effects shared between the five disorders in the Psychiatric Genomics Consortium: autism spectrum disorder, attention deficit-hyperactivity disorder, bipolar disorder, major depressive disorder, and schizophrenia. METHODS: We analysed genome-wide single-nucleotide polymorphism (SNP) data for the five disorders in 33,332 cases and 27,888 controls of European ancestory. To characterise allelic effects on each disorder, we applied a multinomial logistic regression procedure with model selection to identify the best-fitting model of relations between genotype and phenotype. We examined cross-disorder effects of genome-wide significant loci previously identified for bipolar disorder and schizophrenia, and used polygenic risk-score analysis to examine such effects from a broader set of common variants. We undertook pathway analyses to establish the biological associations underlying genetic overlap for the five disorders. We used enrichment analysis of expression quantitative trait loci (eQTL) data to assess whether SNPs with cross-disorder association were enriched for regulatory SNPs in post-mortem brain-tissue samples. FINDINGS: SNPs at four loci surpassed the cutoff for genome-wide significance (p
Published: 2013
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26. The genetic etiology of cannabis use initiation: a meta-analysis of genome-wide association studies, and a SNP-based heritability estimation

Author: Verweij, K.J.H., Vinkhuyzen, A.A.E., Benyamin, B., Lynskey, M.T., Quaye, L., Agrawal, A., Gordon, S.D., Montgomery, G.W., Madden, P.A.F., Heath, A.C., Spector, T.D., Martin, N.G., Medland, S.E., Clinical Developmental Psychology, and EMGO+ - Mental Health
Subjects: SDG 3 - Good Health and Well-being
Abstract: While initiation of cannabis use is around 40% heritable, not much is known about the underlying genetic aetiology. Here, we meta-analysed two genome-wide association studies of initiation of cannabis use with > 10 000 individuals. None of the genetic variants reached genome-wide significance. We also performed a gene-based association test, which also revealed no significant effects of individual genes. Finally, we estimated that only approximately 6% of the variation in cannabis initiation is due to common genetic variants. Future genetic studies using larger sample sizes and different methodologies (including sequencing) might provide more insight in the complex genetic aetiology of cannabis use. © 2012 The Authors, Addiction Biology © 2012 Society for the Study of Addiction.
Published: 2013
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27. EVENING TYPES ARE MORE OFTEN CURRENT SMOKERS AND NICOTINE DEPENDENT - A STUDY OF FINNISH ADULT TWINS

Author: Broms, U., Kaprio, J., Hublin, C., Partinen, M., Madden, P.A.F., and Koskenvuo, M.
Subjects: Adult, Male, Psychiatric Status Rating Scales, Adolescent, Alcohol Drinking, Smoking, Confounding Factors, Epidemiologic, Personal Satisfaction, Tobacco Use Disorder, Article, Circadian Rhythm, Cohort Studies, Diagnostic and Statistical Manual of Mental Disorders, Alcoholism, Young Adult, Humans, Regression Analysis, Female, Finland
Abstract: To examine the association between diurnal type and smoking status and nicotine dependence (ND).A cohort study using random-effects model regressions for repeated longitudinal panel data was used to analyse smoking status by diurnal type. Regression analyses examined the association between diurnal type and ND.A total of 23, 289 same-sex adult twin individuals from Finnish Twin Cohort. Nicotine dependence was studied in a subsample of 676 twin individuals.Subjects were classified by self-report into four categories: morning type, somewhat morning type, somewhat evening type, evening type (in 1981). Smoking status was defined as current and ever smoking (in 1975, 1981 and 1990). ND was measured by DSM-IV and Fagerström Test for Nicotine Dependence (FTND) (during 2001-05). Findings Evening types of both genders were much more likely to be current (OR = 2.91, 95% CI 2.50, 3.38) and life-time smokers (OR = 2.67, 95% CI 2.96, 4.07) compared to morning types. Evening types were less likely to stop smoking. The risk of nicotine dependence assessed by DSM-IV criteria was higher among evening types (OR = 2.78, 95% CI 1.64, 4.72). Evening types scored 0.59 (95% CI 0.01, 1.17) points higher than morning types on the FTND. Adjustment for potential confounders did not change these associations.Being an evening type is associated independently with a higher risk of being a current smoker, being more highly dependent upon cigarettes and a lower likelihood of stopping smoking. Understanding the cause of these associations could elucidate the causes of tobacco addiction.
Published: 2010

28. Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory

Author: Berg, S.M. van den, Moor, M.H. de, McGue, M., Pettersson, E., Terracciano, A., Verweij, K.J., Amin, N., Derringer, J., Esko, T., Grootheest, G. van, Hansell, N.K., Huffman, J., Konte, B., Lahti, J., Luciano, M., Matteson, L.K., Viktorin, A., Wouda, J., Agrawal, A., Allik, J., Bierut, L.J., Broms, U., Campbell, H., Smith, G.D., Eriksson, J.G., Ferrucci, L., Franke, B., Fox, J.P., Geus, E.J. de, Giegling, I., Gow, A.J., Grucza, R.A., Hartmann, A.M., Heath, A.C., Heikkila, K., Iacono, W.G., Janzing, J.G., Jokela, M., Kiemeney, B., Lehtimaki, T., Madden, P.A.F., Magnusson, P.K., Northstone, K., Nutile, T., Ouwens, K.G., Palotie, A., Pattie, A., Pesonen, A.K., Polasek, O., Pulkkinen, L., Pulkki-Raback, L., Raitakari, O.T., Realo, A., Rose, R.J., Ruggiero, D., Seppala, I., Slutske, W.S., Smyth, D.C., Sorice, R., Starr, J.M., Sutin, A.R., Tanaka, T., Verhagen, J., Vermeulen, S., Vuoksimaa, E., Widen, E., Willemsen, G., Wright, M.J., Zgaga, L., Rujescu, D., Metspalu, A., Wilson, J.F., Ciullo, M., Hayward, C., Rudan, I., Deary, I.J., Raikkonen, K., Arias Vasquez, A., Costa, P.T., Keltikangas-Jarvinen, L., Duijn, C.M. van, Penninx, B.W.J.H., Krueger, R.F., Evans, D.M., Kaprio, J., Pedersen, N.L., Martin, N.G., Boomsma, D.I., Berg, S.M. van den, Moor, M.H. de, McGue, M., Pettersson, E., Terracciano, A., Verweij, K.J., Amin, N., Derringer, J., Esko, T., Grootheest, G. van, Hansell, N.K., Huffman, J., Konte, B., Lahti, J., Luciano, M., Matteson, L.K., Viktorin, A., Wouda, J., Agrawal, A., Allik, J., Bierut, L.J., Broms, U., Campbell, H., Smith, G.D., Eriksson, J.G., Ferrucci, L., Franke, B., Fox, J.P., Geus, E.J. de, Giegling, I., Gow, A.J., Grucza, R.A., Hartmann, A.M., Heath, A.C., Heikkila, K., Iacono, W.G., Janzing, J.G., Jokela, M., Kiemeney, B., Lehtimaki, T., Madden, P.A.F., Magnusson, P.K., Northstone, K., Nutile, T., Ouwens, K.G., Palotie, A., Pattie, A., Pesonen, A.K., Polasek, O., Pulkkinen, L., Pulkki-Raback, L., Raitakari, O.T., Realo, A., Rose, R.J., Ruggiero, D., Seppala, I., Slutske, W.S., Smyth, D.C., Sorice, R., Starr, J.M., Sutin, A.R., Tanaka, T., Verhagen, J., Vermeulen, S., Vuoksimaa, E., Widen, E., Willemsen, G., Wright, M.J., Zgaga, L., Rujescu, D., Metspalu, A., Wilson, J.F., Ciullo, M., Hayward, C., Rudan, I., Deary, I.J., Raikkonen, K., Arias Vasquez, A., Costa, P.T., Keltikangas-Jarvinen, L., Duijn, C.M. van, Penninx, B.W.J.H., Krueger, R.F., Evans, D.M., Kaprio, J., Pedersen, N.L., Martin, N.G., and Boomsma, D.I.
Abstract: Contains fulltext : 135909.pdf (publisher's version ) (Open Access), Mega- or meta-analytic studies (e.g. genome-wide association studies) are increasingly used in behavior genetics. An issue in such studies is that phenotypes are often measured by different instruments across study cohorts, requiring harmonization of measures so that more powerful fixed effect meta-analyses can be employed. Within the Genetics of Personality Consortium, we demonstrate for two clinically relevant personality traits, Neuroticism and Extraversion, how Item-Response Theory (IRT) can be applied to map item data from different inventories to the same underlying constructs. Personality item data were analyzed in >160,000 individuals from 23 cohorts across Europe, USA and Australia in which Neuroticism and Extraversion were assessed by nine different personality inventories. Results showed that harmonization was very successful for most personality inventories and moderately successful for some. Neuroticism and Extraversion inventories were largely measurement invariant across cohorts, in particular when comparing cohorts from countries where the same language is spoken. The IRT-based scores for Neuroticism and Extraversion were heritable (48 and 49 %, respectively, based on a meta-analysis of six twin cohorts, total N = 29,496 and 29,501 twin pairs, respectively) with a significant part of the heritability due to non-additive genetic factors. For Extraversion, these genetic factors qualitatively differ across sexes. We showed that our IRT method can lead to a large increase in sample size and therefore statistical power. The IRT approach may be applied to any mega- or meta-analytic study in which item-based behavioral measures need to be harmonized.
Published: 2014

29. Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis

Author: Benyamin, B., Esko, T., Ried, J.S., Radhakrishnan, A., Vermeulen, S., Traglia, M., Gogele, M., Anderson, D., Broer, L., Podmore, C., Luan, J., Kutalik, Z., Sanna, S., Meer, P. van der, Tanaka, T., Wang, F, Westra, H.J., Franke, L., Mihailov, E., Milani, L., Haldin, J., Winkelmann, J., Meitinger, T., Thiery, J., Peters, A., Waldenberger, M., Rendon, A., Jolley, J., Sambrook, J., Kiemeney, L.A.L.M., Sweep, C.G.J., Sala, C.F., Schwienbacher, C., Pichler, I., Hui, J., Demirkan, A., Isaacs, A., Amin, N., Steri, M., Waeber, G., Verweij, N., Powell, J.E., Nyholt, D.R., Heath, A.C., Madden, P.A.F., Visscher, P.M., Wright, M.J., Montgomery, G.W., Martin, N.G., Hernandez, D., Bandinelli, S., Harst, P. van der, Uda, M., Vollenweider, P., Scott, R.A., Langenberg, C., Wareham, N.J., InterAct, C., Duijn, C. van, Beilby, J., Pramstaller, P.P., Hicks, A.A., Ouwehand, W.H., Oexle, K., Gieger, C., Metspalu, A., Camaschella, C., Toniolo, D., Swinkels, D.W., Whitfield, J.B., Benyamin, B., Esko, T., Ried, J.S., Radhakrishnan, A., Vermeulen, S., Traglia, M., Gogele, M., Anderson, D., Broer, L., Podmore, C., Luan, J., Kutalik, Z., Sanna, S., Meer, P. van der, Tanaka, T., Wang, F, Westra, H.J., Franke, L., Mihailov, E., Milani, L., Haldin, J., Winkelmann, J., Meitinger, T., Thiery, J., Peters, A., Waldenberger, M., Rendon, A., Jolley, J., Sambrook, J., Kiemeney, L.A.L.M., Sweep, C.G.J., Sala, C.F., Schwienbacher, C., Pichler, I., Hui, J., Demirkan, A., Isaacs, A., Amin, N., Steri, M., Waeber, G., Verweij, N., Powell, J.E., Nyholt, D.R., Heath, A.C., Madden, P.A.F., Visscher, P.M., Wright, M.J., Montgomery, G.W., Martin, N.G., Hernandez, D., Bandinelli, S., Harst, P. van der, Uda, M., Vollenweider, P., Scott, R.A., Langenberg, C., Wareham, N.J., InterAct, C., Duijn, C. van, Beilby, J., Pramstaller, P.P., Hicks, A.A., Ouwehand, W.H., Oexle, K., Gieger, C., Metspalu, A., Camaschella, C., Toniolo, D., Swinkels, D.W., and Whitfield, J.B.
Abstract: Contains fulltext : 137523.pdf (publisher's version ) (Open Access), Variation in body iron is associated with or causes diseases, including anaemia and iron overload. Here, we analyse genetic association data on biochemical markers of iron status from 11 European-population studies, with replication in eight additional cohorts (total up to 48,972 subjects). We find 11 genome-wide-significant (P<5 x 10(-8)) loci, some including known iron-related genes (HFE, SLC40A1, TF, TFR2, TFRC, TMPRSS6) and others novel (ABO, ARNTL, FADS2, NAT2, TEX14). SNPs at ARNTL, TF, and TFR2 affect iron markers in HFE C282Y homozygotes at risk for hemochromatosis. There is substantial overlap between our iron loci and loci affecting erythrocyte and lipid phenotypes. These results will facilitate investigation of the roles of iron in disease.
Published: 2014

30. Harmonization of neuroticism and extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: An application of item response theory

Author: Berg, S.M. (Stéphanie) van den, Moor, M.H.M. de, McGue, M. (Matt), Pettersson, E. (Erik), Terracciano, A., Verweij, K.J.H. (Karin J.), Amin, N. (Najaf), Derringer, J., Esko, T. (Tõnu), Grootheest, G. (Gerard) van, Hansell, N.K. (Narelle), Huffman, J.E. (Jennifer), Konte, B., Lahti, J. (Jari), Luciano, M. (Michelle), Matteson, L.K. (Lindsay), Viktorin, A. (Alexander), Wouda, J. (Jasper), Agrawal, A. (Arpana), Allik, J., Bierut, L.J. (Laura), Broms, U. (Ulla), Campbell, H. (Harry), Smith, G.D. (George Davey), Hagen, K. (Knut), Ferrucci, L. (Luigi), Franke, B. (Barbara), Fox, J.P. (Jean-Paul), Geus, E.J.C. (Eco) de, Giegling, I. (Ina), Gow, A.J. (Alan J.), Grucza, R., Hartmann, A.M. (Annette M), Heath, A.C. (Andrew), Heikkilä, K. (Kauko), Iacono, W.G. (William), Janzing, J.G.E. (Joost), Jokela, M. (Markus), Kiemeney, L.A.L.M. (Bart), Lehtimäki, T. (Terho), Madden, P.A.F. (Pamela), Magnusson, P.K. (Patrik), Northstone, K. (Kate), Nutile, T., Ouwens, K.G. (Klaasjan), Palotie, A. (Aarno), Pattie, A. (Alison), Pesonen, A.-K. (Anu-Katriina), Polasek, O. (Ozren), Pulkkinen, L. (Lea), Pulkki-Råback, L. (Laura), Raitakari, O. (Olli), Realo, A. (Anu), Rose, R.J. (Richard), Ruggiero, D., Seppälä, I. (Ilkka), Slutske, W.S. (Wendy), Smyth, D.C. (David), Sorice, R., Starr, J.M. (John), Sutin, A.R., Tanaka, T. (Toshiko), Verhagen, J. (Josine), Vermeulen, S.H.H.M. (Sita), Vuoksimaa, E. (Eero), Widen, E. (Elisabeth), Willemsen, G.A.H.M. (Gonneke), Wright, M.J. (Margaret), Zgaga, L. (Lina), Rujescu, D. (Dan), Metspalu, A. (Andres), Wilson, J.F. (James F), Ciullo, M., Hayward, C. (Caroline), Rudan, I. (Igor), Deary, I.J. (Ian), Räikkönen, K. (Katri), Arias-Vásquez, A. (Alejandro), Costa, P.T. (Paul), Keltikangas-Järvinen, L. (Liisa), Duijn, C.M. (Cornelia) van, Penninx, B.W.J.H. (Brenda), Krueger, R.F., Evans, D.M. (David), Kaprio, J. (Jaakko), Pedersen, N.L. (Nancy), Martin, N.G. (Nicholas), Boomsma, D.I. (Dorret), Berg, S.M. (Stéphanie) van den, Moor, M.H.M. de, McGue, M. (Matt), Pettersson, E. (Erik), Terracciano, A., Verweij, K.J.H. (Karin J.), Amin, N. (Najaf), Derringer, J., Esko, T. (Tõnu), Grootheest, G. (Gerard) van, Hansell, N.K. (Narelle), Huffman, J.E. (Jennifer), Konte, B., Lahti, J. (Jari), Luciano, M. (Michelle), Matteson, L.K. (Lindsay), Viktorin, A. (Alexander), Wouda, J. (Jasper), Agrawal, A. (Arpana), Allik, J., Bierut, L.J. (Laura), Broms, U. (Ulla), Campbell, H. (Harry), Smith, G.D. (George Davey), Hagen, K. (Knut), Ferrucci, L. (Luigi), Franke, B. (Barbara), Fox, J.P. (Jean-Paul), Geus, E.J.C. (Eco) de, Giegling, I. (Ina), Gow, A.J. (Alan J.), Grucza, R., Hartmann, A.M. (Annette M), Heath, A.C. (Andrew), Heikkilä, K. (Kauko), Iacono, W.G. (William), Janzing, J.G.E. (Joost), Jokela, M. (Markus), Kiemeney, L.A.L.M. (Bart), Lehtimäki, T. (Terho), Madden, P.A.F. (Pamela), Magnusson, P.K. (Patrik), Northstone, K. (Kate), Nutile, T., Ouwens, K.G. (Klaasjan), Palotie, A. (Aarno), Pattie, A. (Alison), Pesonen, A.-K. (Anu-Katriina), Polasek, O. (Ozren), Pulkkinen, L. (Lea), Pulkki-Råback, L. (Laura), Raitakari, O. (Olli), Realo, A. (Anu), Rose, R.J. (Richard), Ruggiero, D., Seppälä, I. (Ilkka), Slutske, W.S. (Wendy), Smyth, D.C. (David), Sorice, R., Starr, J.M. (John), Sutin, A.R., Tanaka, T. (Toshiko), Verhagen, J. (Josine), Vermeulen, S.H.H.M. (Sita), Vuoksimaa, E. (Eero), Widen, E. (Elisabeth), Willemsen, G.A.H.M. (Gonneke), Wright, M.J. (Margaret), Zgaga, L. (Lina), Rujescu, D. (Dan), Metspalu, A. (Andres), Wilson, J.F. (James F), Ciullo, M., Hayward, C. (Caroline), Rudan, I. (Igor), Deary, I.J. (Ian), Räikkönen, K. (Katri), Arias-Vásquez, A. (Alejandro), Costa, P.T. (Paul), Keltikangas-Järvinen, L. (Liisa), Duijn, C.M. (Cornelia) van, Penninx, B.W.J.H. (Brenda), Krueger, R.F., Evans, D.M. (David), Kaprio, J. (Jaakko), Pedersen, N.L. (Nancy), Martin, N.G. (Nicholas), and Boomsma, D.I. (Dorret)
Abstract: Mega- or meta-analytic studies (e.g. genome-wide association studies) are increasingly used in behavior genetics. An issue in such studies is that phenotypes are often measured by different instruments across study cohorts, requiring harmonization of measures so that more powerful fixed effect meta-analyses can be employed. Within the Genetics of Personality Consortium, we demonstrate for two clinically relevant personality traits, Neuroticism and Extraversion, how Item-Response Theory (IRT) can be applied to map item data from different inventories to the same underlying constructs. Personality item data were analyzed in >160,000 individuals from 23 cohorts across Europe, USA and Australia in which Neuroticism and Extraversion were assessed by nine different personality inventories. Results showed that harmonization was very successful for most personality inventories and moderately successful for some. Neuroticism and Extraversion inventories were largely measurement invariant across cohorts, in particular when comparing cohorts from countries where the same language is spoken. The IRT-based scores for Neuroticism and Extraversion were heritable (48 and 49 %, respectively, based on a meta-analysis of six twin cohorts, total N = 29,496 and 29,501 twin pairs, respectively) with a significant part of the heritability due to non-additive genetic factors. For Extraversion, these genetic factors qualitatively differ across sexes. We showed that our IRT method can lead to a large increase in sample size and therefore statistical power. The IRT approach may be applied to any mega- or meta-analytic study in which item-based behavioral measures need to be harmonized.
Published: 2014
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31. Role of nicotine dependence in the association between the Dopamine Receptor Gene DRD3 and major depressive disorder

Author: Korhonen, T., Loukola, A., Wedenoja, J., Nyman, E., Latvala, A., Broms, U., Happola, U., Paunio, T., Schrage, A.J., Vink, J.M., Mbarek, H., Boomsma, D.I., Penninx, B.W.J.H., Pergadia, M.L., Madden, P.A.F., Kaprio, J., Korhonen, T., Loukola, A., Wedenoja, J., Nyman, E., Latvala, A., Broms, U., Happola, U., Paunio, T., Schrage, A.J., Vink, J.M., Mbarek, H., Boomsma, D.I., Penninx, B.W.J.H., Pergadia, M.L., Madden, P.A.F., and Kaprio, J.
Abstract: Contains fulltext : 160007.PDF (publisher's version ) (Open Access), Background: The aims of this study were to analyze associations of dopamine receptor genes (DRD1-5) with Major Depressive Disorder (MDD) and nicotine dependence (ND), and to investigate whether ND moderates genetic influences on MDD. Methods: The sample was ascertained from the Finnish Twin Cohort. Twin pairs concordant for smoking history were recruited along with their family members, as part of the multisite Nicotine Addiction Genetics consortium. Genetic association analyses were based on 1428 adults. Total of 70 tagging single nucleotide polymorphisms within the dopamine receptor genes were genotyped and analyzed for association with MDD, ND, and MD-ND co-morbidity. Individual level logistic regression analyses were based on 1296 adults with data on ND and MDD diagnoses, as well as on dopamine receptor genotypes adjusted for sex, age, and alcohol use. Four independent samples, such as population-based and casecontrol samples, were used for replication. Results: Rs2399496, located 1.5 kb downstream of DRD3, showed suggestive association for MDD (p = 0.00076) and significant association for MDD-ND co-morbidity (p = 0.000079). Suggestive gene-(rs2399496) by-ND-interaction justified analyses by genetic risk variant and ND status. Individuals with ND and two minor alleles (AA) of rs2399496 had almost sixfold risk for MDD (OR 5.74, 95% CI 3.12-10.5, p = 9.010e-09) compared to individuals without ND and with two major alleles (TT). Conclusions: Significant association between a variant downstream of DRD3 and a co-morbid MDD-ND phenotype was detected. Our results further suggest that nicotine dependence may potentiate the influence of the DRD3 genetic variant on MDD.
Published: 2014

32. Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders

Author: Ligthart, R.S.L., Hottenga, J.J., Lewis, C.M., Farmer, A.E., Craig, I.W., Breen, G., Willemsen, G., Vink, J.M., Middeldorp, C.M., Byrne, E.M., Heath, A.C., Madden, P.A.F., Pergadia, M.L., Montgomery, G.W., Martin, N.G., Penninx, B.W.J.H., McGuffin, P., Boomsma, D.I., Nyholt, D.R., Ligthart, R.S.L., Hottenga, J.J., Lewis, C.M., Farmer, A.E., Craig, I.W., Breen, G., Willemsen, G., Vink, J.M., Middeldorp, C.M., Byrne, E.M., Heath, A.C., Madden, P.A.F., Pergadia, M.L., Montgomery, G.W., Martin, N.G., Penninx, B.W.J.H., McGuffin, P., Boomsma, D.I., and Nyholt, D.R.
Abstract: Item does not contain fulltext, Migraine and major depressive disorder (MDD) are comorbid, moderately heritable and to some extent influenced by the same genes. In a previous paper, we suggested the possibility of causality (one trait causing the other) underlying this comorbidity. We present a new application of polygenic (genetic risk) score analysis to investigate the mechanisms underlying the genetic overlap of migraine and MDD. Genetic risk scores were constructed based on data from two discovery samples in which genome-wide association analyses (GWA) were performed for migraine and MDD, respectively. The Australian Twin Migraine GWA study (N = 6,350) included 2,825 migraine cases and 3,525 controls, 805 of whom met the diagnostic criteria for MDD. The RADIANT GWA study (N = 3,230) included 1,636 MDD cases and 1,594 controls. Genetic risk scores for migraine and for MDD were used to predict pure and comorbid forms of migraine and MDD in an independent Dutch target sample (NTR-NESDA, N = 2,966), which included 1,476 MDD cases and 1,058 migraine cases (723 of these individuals had both disorders concurrently). The observed patterns of prediction suggest that the 'pure' forms of migraine and MDD are genetically distinct disorders. The subgroup of individuals with comorbid MDD and migraine were genetically most similar to MDD patients. These results indicate that in at least a subset of migraine patients with MDD, migraine may be a symptom or consequence of MDD.
Published: 2014

33. Overlapping genetic and environmental influences on nonsuicidal self-injury and suicidal ideation: Different outcomes, same etiology?

Author: Maciejewski, D.F., Creemers, H.E., Lynskey, M.T., Madden, P.A.F., Heath, A.C., Statham, D.J., Martin, N.G., Verweij, K.J.H., Maciejewski, D.F., Creemers, H.E., Lynskey, M.T., Madden, P.A.F., Heath, A.C., Statham, D.J., Martin, N.G., and Verweij, K.J.H.
Abstract: Item does not contain fulltext, IMPORTANCE Nonsuicidal self-injury (NSSI) and suicidal self-injury are very harmful behaviors and are associated with several psychiatric disorders. In the recently developed fifth edition of the DSM, NSSI and suicidal behavior disorder are for the first time introduced as conditions in their own right instead of symptoms of other psychiatric disorders. It is unclear to what extent NSSI and suicidal self-injury share the same underlying biological mechanisms and are influenced by the same environmental factors. OBJECTIVE To determine the relative importance of genetic and environmental influences on the variation in NSSI and suicidal ideation and their covariation. DESIGN, SETTING, AND PARTICIPANTS Classical twin design using a sample of 10 678 male and female adult twins (mean [SD] age, 32.76 [6.99] years) from the Australian Twin Registry, a population-based twin registry. Between 1996 and 2009, the twins participated in semistructured telephone interviews that primarily focused on psychiatric disorders. MAIN OUTCOMES AND MEASURES Lifetime presence of self-reported NSSI and suicidal ideation. RESULTS The prevalences of NSSI and suicidal ideation were 4.7% and 26.5%, respectively, and individuals who engaged in self-harm were much more likely to report suicidal ideation (odds ratio = 8.39; 95% CI, 6.84-10.29). Results from a bivariate genetic model indicated that genetic factors explain a substantial part of the variance in both NSSI (37% for men and 59% for women) and suicidal ideation (41% for men and 55% for women), while residual influences (including nonshared environmental influences and measurement error) explain the remainder of the variance. Shared (family) environment did not seem to play a role. Moreover, both behaviors were strongly correlated (r = 0.49 for men and 0.61 for women), and this correlation was largely explained by overlapping genetic influences (76% for men and 62% for women), whereas residual influences accounted for the remainder of the p
Published: 2014

34. Genetic predisposition to schizophrenia associated with increased use of cannabis

Author: Power, R.A., Verweij, K.J.H., Zuhair, M., Montgomery, G.W., Henders, A.K., Heath, A.C., Madden, P.A.F., Medland, S.E., Wray, N.R., Martin, N.G., Power, R.A., Verweij, K.J.H., Zuhair, M., Montgomery, G.W., Henders, A.K., Heath, A.C., Madden, P.A.F., Medland, S.E., Wray, N.R., and Martin, N.G.
Abstract: Item does not contain fulltext, Cannabis is the most commonly used illicit drug worldwide. With debate surrounding the legalization and control of use, investigating its health risks has become a pressing area of research. One established association is that between cannabis use and schizophrenia, a debilitating psychiatric disorder affecting similar to 1% of the population over their lifetime. Although considerable evidence implicates cannabis use as a component cause of schizophrenia, it remains unclear whether this is entirely due to cannabis directly raising risk of psychosis, or whether the same genes that increases psychosis risk may also increase risk of cannabis use. In a sample of 2082 healthy individuals, we show an association between an individual's burden of schizophrenia risk alleles and use of cannabis. This was significant both for comparing those who have ever versus never used cannabis (P = 2.6 x 10(-4)), and for quantity of use within users (P = 3.0 x 10(-3)). Although directly predicting only a small amount of the variance in cannabis use, these findings suggest that part of the association between schizophrenia and cannabis is due to a shared genetic aetiology. This form of gene-environment correlation is an important consideration when calculating the impact of environmental risk factors, including cannabis use.
Published: 2014

35. The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis

Author: Fall, M. (Magnus), Hägg, S. (Sara), Mägi, R. (Reedik), Ploner, A. (Alexander), Fischer, K. (Krista), Horikoshi, M. (Momoko), Sarin, A.-P., Thorleifsson, G. (Gudmar), Ladenvall, C. (Claes), Kals, M. (Mart), Kuningas, M. (Maris), Draisma, G. (Gerrit), Ried, J.S. (Janina), Zuydam, N.R. (Natalie) van, Huikari, V. (Ville), Mangino, M. (Massimo), Sonestedt, E. (Emily), Benyamin, B. (Beben), Nelson, C.P. (Christopher P.), Rivera, N.V. (Natalia), Kristiansson, K. (Kati), Shen, H.-y. (Huei-yi), Havulinna, A.S. (Aki), Dehghan, A. (Abbas), Donnelly, L.A. (Louise), Kaakinen, M. (Marika), Nuotio, M.-L. (Marja-Liisa), Robertson, N. (Neil), Bruijn, R.F.A.G. (Renée) de, Ikram, M.A. (Arfan), Amin, N. (Najaf), Balmforth, A.J. (Anthony), Braund, P.S. (Peter), Doney, A.S.F. (Alex), Döring, A. (Angela), Elliott, P. (Paul), Esko, T. (Tõnu), Franco, O.H. (Oscar), Gretarsdottir, S. (Solveig), Hartikainen, A.L., Heikkilä, K. (Kauko), Herzig, K.H., Holm, H. (Hilma), Hottenga, J.J. (Jouke Jan), Hyppönen, E. (Elina), Illig, T. (Thomas), Isaacs, A.J. (Aaron), Isomaa, B. (Bo), Karssen, L.C. (Lennart), Kettunen, J. (Johannes), Koenig, W. (Wolfgang), Kuulasmaa, K. (Kari), Laatikainen, T. (Tiina), Laitinen, J. (Jaana), Lindgren, C. (Cecilia), Lyssenko, V. (Valeriya), Läärä, E. (Esa), Rayner, N.W. (Nigel William), Männistö, S. (Satu), Pouta, A. (Anneli), Rathmann, W. (Wolfgang), Rivadeneira Ramirez, F. (Fernando), Ruokonen, A. (Aimo), Savolainen, M.J. (Markku), Sijbrands, E.J.G. (Eric), Small, K.S. (Kerrin), Smit, J.H. (Jan), Steinthorsdottir, V. (Valgerdur), Syvanen, A.C., Taanila, A. (Anja), Tobin, M.D. (Martin), Uitterlinden, A.G. (André), Willems, S.M. (Sara), Willemsen, G.A.H.M. (Gonneke), Witteman, J.C.M. (Jacqueline), Perola, M. (Markus), Evans, A. (Andrew), Ferrières, J. (Jean), Virtamo, J. (Jarmo), Kee, F. (F.), Tregouet, D.-A. (David-Alexandre), Arveiler, D. (Dominique), Amouyel, P. (Philippe), Ferrario, F. (Franco), Brambilla, P. (Paolo), Hall, A. (Anne), Heath, A.C. (Andrew), Madden, P.A.F. (Pamela), Martin, N.G. (Nicholas), Montgomery, G.W. (Grant), Whitfield, J. (John), Jula, A. (Antti), Knekt, P., Oostra, B.A. (Ben), Duijn, C.M. (Cornelia) van, Penninx, B.W.J.H. (Brenda), Davey-Smith, G. (George), Kaprio, J. (Jaakko), Samani, N.J. (Nilesh), Gieger, C. (Christian), Peters, A. (Annette), Wichmann, H.E. (Heinz Erich), Boomsma, D.I. (Dorret), Geus, E.J.C. (Eco) de, Tuomi, T. (Tiinamaija), Power, C. (Christopher), Hammond, C.J. (Christopher), Spector, T.D. (Timothy), Lind, L. (Lars), Orho-Melander, M. (Marju), Palmer, C.N.A. (Colin), Morris, A.D. (Andrew), Groop, L. (Leif), Jarvelin, M.-R. (Marjo-Riitta), Salomaa, V. (Veikko), Vartiainen, E. (Erkki), Hofman, A. (Albert), Ripatti, S. (Samuli), Metspalu, A. (Andres), Thorsteinsdottir, U. (Unnur), Zwart, J-A. (John-Anker), Pedersen, N.L. (Nancy), McCarthy, M.I. (Mark), Ingelsson, E. (Erik), Prokopenko, I. (Inga), Fall, M. (Magnus), Hägg, S. (Sara), Mägi, R. (Reedik), Ploner, A. (Alexander), Fischer, K. (Krista), Horikoshi, M. (Momoko), Sarin, A.-P., Thorleifsson, G. (Gudmar), Ladenvall, C. (Claes), Kals, M. (Mart), Kuningas, M. (Maris), Draisma, G. (Gerrit), Ried, J.S. (Janina), Zuydam, N.R. (Natalie) van, Huikari, V. (Ville), Mangino, M. (Massimo), Sonestedt, E. (Emily), Benyamin, B. (Beben), Nelson, C.P. (Christopher P.), Rivera, N.V. (Natalia), Kristiansson, K. (Kati), Shen, H.-y. (Huei-yi), Havulinna, A.S. (Aki), Dehghan, A. (Abbas), Donnelly, L.A. (Louise), Kaakinen, M. (Marika), Nuotio, M.-L. (Marja-Liisa), Robertson, N. (Neil), Bruijn, R.F.A.G. (Renée) de, Ikram, M.A. (Arfan), Amin, N. (Najaf), Balmforth, A.J. (Anthony), Braund, P.S. (Peter), Doney, A.S.F. (Alex), Döring, A. (Angela), Elliott, P. (Paul), Esko, T. (Tõnu), Franco, O.H. (Oscar), Gretarsdottir, S. (Solveig), Hartikainen, A.L., Heikkilä, K. (Kauko), Herzig, K.H., Holm, H. (Hilma), Hottenga, J.J. (Jouke Jan), Hyppönen, E. (Elina), Illig, T. (Thomas), Isaacs, A.J. (Aaron), Isomaa, B. (Bo), Karssen, L.C. (Lennart), Kettunen, J. (Johannes), Koenig, W. (Wolfgang), Kuulasmaa, K. (Kari), Laatikainen, T. (Tiina), Laitinen, J. (Jaana), Lindgren, C. (Cecilia), Lyssenko, V. (Valeriya), Läärä, E. (Esa), Rayner, N.W. (Nigel William), Männistö, S. (Satu), Pouta, A. (Anneli), Rathmann, W. (Wolfgang), Rivadeneira Ramirez, F. (Fernando), Ruokonen, A. (Aimo), Savolainen, M.J. (Markku), Sijbrands, E.J.G. (Eric), Small, K.S. (Kerrin), Smit, J.H. (Jan), Steinthorsdottir, V. (Valgerdur), Syvanen, A.C., Taanila, A. (Anja), Tobin, M.D. (Martin), Uitterlinden, A.G. (André), Willems, S.M. (Sara), Willemsen, G.A.H.M. (Gonneke), Witteman, J.C.M. (Jacqueline), Perola, M. (Markus), Evans, A. (Andrew), Ferrières, J. (Jean), Virtamo, J. (Jarmo), Kee, F. (F.), Tregouet, D.-A. (David-Alexandre), Arveiler, D. (Dominique), Amouyel, P. (Philippe), Ferrario, F. (Franco), Brambilla, P. (Paolo), Hall, A. (Anne), Heath, A.C. (Andrew), Madden, P.A.F. (Pamela), Martin, N.G. (Nicholas), Montgomery, G.W. (Grant), Whitfield, J. (John), Jula, A. (Antti), Knekt, P., Oostra, B.A. (Ben), Duijn, C.M. (Cornelia) van, Penninx, B.W.J.H. (Brenda), Davey-Smith, G. (George), Kaprio, J. (Jaakko), Samani, N.J. (Nilesh), Gieger, C. (Christian), Peters, A. (Annette), Wichmann, H.E. (Heinz Erich), Boomsma, D.I. (Dorret), Geus, E.J.C. (Eco) de, Tuomi, T. (Tiinamaija), Power, C. (Christopher), Hammond, C.J. (Christopher), Spector, T.D. (Timothy), Lind, L. (Lars), Orho-Melander, M. (Marju), Palmer, C.N.A. (Colin), Morris, A.D. (Andrew), Groop, L. (Leif), Jarvelin, M.-R. (Marjo-Riitta), Salomaa, V. (Veikko), Vartiainen, E. (Erkki), Hofman, A. (Albert), Ripatti, S. (Samuli), Metspalu, A. (Andres), Thorsteinsdottir, U. (Unnur), Zwart, J-A. (John-Anker), Pedersen, N.L. (Nancy), McCarthy, M.I. (Mark), Ingelsson, E. (Erik), and Prokopenko, I. (Inga)
Abstract: Background:The association between adiposity and cardiometabolic traits is well known from epidemiological studies. Whilst the causal relationship is clear for some of these traits, for others it is not. We aimed to determine whether adiposity is causally related to various cardiometabolic traits using the Mendelian randomization approach.Methods and Findings:We used the adiposity-associated variant rs9939609 at the FTO locus as an instrumental variable (IV) for body mass index (BMI) in a Mendelian randomization design. Thirty-six population-based studies of individuals of European descent contributed to the analyses.Age- and sex-adjusted regression models were fitted to test for association between (i) rs9939609 and BMI (n = 198,502), (ii) rs9939609 and 24 traits, and (iii) BMI and 24 traits. The causal effect of BMI on the outcome measures was quantified by IV estimators. The estimators were compared to the BMI-trait associations derived from the same individuals. In the IV analysis, we demonstrated novel evidence for a causal relationship between adiposity and incident heart failure (hazard ratio, 1.19 per BMI-unit increase; 95% CI, 1.03-1.39) and replicated earlier reports of a causal association with type 2 diabetes, metabolic syndrome, dyslipidemia, and hypertension (odds ratio for IV estimator, 1.1-1.4; all p<0.05).
Published: 2013
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36. Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions

Author: Amin, N. (Najaf), Hottenga, J.J. (Jouke Jan), Hansell, N.K. (Narelle), Janssens, A.C.J.W. (Cécile), Moor, M.H.M. de, Madden, P.A.F. (Pamela), Zorkoltseva, I.V. (Irina), Penninx, B.W.J.H. (Brenda), Terracciano, A., Uda, M. (Manuela), Tanaka, T. (Toshiko), Esko, T. (Tõnu), Realo, A. (Anu), Ferrucci, L. (Luigi), Luciano, M. (Michelle), Davies, G. (Gail), Metspalu, A. (Andres), Abecasis, G.R. (Gonçalo), Deary, I.J. (Ian), Raikkonen, K. (Katri), Bierut, L.J. (Laura), Costa, P.T. (P.), Saviouk, V. (Viatcheslav), Zhu, G. (Gu), Kirichenko, A.V. (Anatoly), Isaacs, A.J. (Aaron), Aulchenko, Y.S. (Yurii), Willemsen, G.A.H.M. (Gonneke), Heath, A.C. (Andrew), Pergadia, M.L. (Michele), Medland, S.E. (Sarah), Axenovich, T.I. (Tatiana), Geus, E.J.C. (Eco) de, Montgomery, G.W. (Grant), Wright, M.J. (Margaret), Oostra, B.A. (Ben), Martin, N.G. (Nicholas), Boomsma, D.I. (Dorret), Duijn, C.M. (Cornelia) van, Amin, N. (Najaf), Hottenga, J.J. (Jouke Jan), Hansell, N.K. (Narelle), Janssens, A.C.J.W. (Cécile), Moor, M.H.M. de, Madden, P.A.F. (Pamela), Zorkoltseva, I.V. (Irina), Penninx, B.W.J.H. (Brenda), Terracciano, A., Uda, M. (Manuela), Tanaka, T. (Toshiko), Esko, T. (Tõnu), Realo, A. (Anu), Ferrucci, L. (Luigi), Luciano, M. (Michelle), Davies, G. (Gail), Metspalu, A. (Andres), Abecasis, G.R. (Gonçalo), Deary, I.J. (Ian), Raikkonen, K. (Katri), Bierut, L.J. (Laura), Costa, P.T. (P.), Saviouk, V. (Viatcheslav), Zhu, G. (Gu), Kirichenko, A.V. (Anatoly), Isaacs, A.J. (Aaron), Aulchenko, Y.S. (Yurii), Willemsen, G.A.H.M. (Gonneke), Heath, A.C. (Andrew), Pergadia, M.L. (Michele), Medland, S.E. (Sarah), Axenovich, T.I. (Tatiana), Geus, E.J.C. (Eco) de, Montgomery, G.W. (Grant), Wright, M.J. (Margaret), Oostra, B.A. (Ben), Martin, N.G. (Nicholas), Boomsma, D.I. (Dorret), and Duijn, C.M. (Cornelia) van
Abstract: Personality traits are complex phenotypes related to psychosomatic health. Individually, various gene finding methods have not achieved much success in finding genetic variants associated with personality traits. We performed a meta-analysis of four genome-wide linkage scans (N=6149 subjects) of five basic personality traits assessed with the NEO Five-Factor Inventory. We compared the significant regions from the meta-analysis of linkage scans with the results of a meta-analysis of genome-wide association studies (GWAS) (N∼17 000). We found significant evidence of linkage of neuroticism to chromosome 3p14 (rs1490265, LOD=4.67) and to chromosome 19q13 (rs628604, LOD=3.55); of extraversion to 14q32 (ATGG002, LOD=3.3); and of agreeableness to 3p25 (rs709160, LOD=3.67) and to two adjacent regions on chromosome 15, including 15q13 (rs970408, LOD=4.07) and 15q14 (rs1055356, LOD=3.52) in the individual scans. In the meta-analysis, we found strong evidence of linkage of extraversion to 4q34, 9q34, 10q24 and 11q22, openness to 2p25, 3q26, 9p21, 11q24, 15q26 and 19q13 and agreeableness to 4q34 and 19p13. Significant evidence of association in the GWAS was detected between openness and rs677035 at 11q24 (P-value=2.6 × 10 -06, KCNJ1). The findings of our linkage meta-analysis and those of the GWAS suggest that 11q24 is a susceptible locus for openness, with KCNJ1 as the possible candidate gene.
Published: 2013
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37. The genetic aetiology of cannabis use initiation: A meta-analysis of genome-wide association studies and a SNP-based heritability estimation

Author: Verweij, K.J.H., Vinkhuyzen, A.A.E., Benyamin, B., Lynskey, M.T., Quaye, L., Agrawal, A., Gordon, S.D., Montgomery, G.W., Madden, P.A.F., Heath, A.C., Spector, T.D., Martin, N.G., Medland, S.E., Verweij, K.J.H., Vinkhuyzen, A.A.E., Benyamin, B., Lynskey, M.T., Quaye, L., Agrawal, A., Gordon, S.D., Montgomery, G.W., Madden, P.A.F., Heath, A.C., Spector, T.D., Martin, N.G., and Medland, S.E.
Abstract: Item does not contain fulltext, While initiation of cannabis use is around 40% heritable, not much is known about the underlying genetic aetiology. Here, we meta-analysed two genome-wide association studies of initiation of cannabis use with >10000 individuals. None of the genetic variants reached genome-wide significance. We also performed a gene-based association test, which also revealed no significant effects of individual genes. Finally, we estimated that only approximately 6% of the variation in cannabis initiation is due to common genetic variants. Future genetic studies using larger sample sizes and different methodologies (including sequencing) might provide more insight in the complex genetic aetiology of cannabis use.
Published: 2013

38. Genome-wide meta-analysis identifies new susceptibility loci for migraine

Author: Anttila, V., Winsvold, B.S., Gormley, P., Kurth, T., Bettella, F., McMahon, G., Kallela, M., Malik, R., de Vries, B., Terwindt, G., Medland, S.E., Todt, U., McArdle, W.L., Quaye, L., Koiranen, M., Ikram, M.A., Lehtimäki, T., Stam, A.H., Ligthart, L., Wedenoja, J., Dunham, I., Neale, B. M., Palta, P., Hamalainen, E., Schürks, M., Rose, L.M., Buring, J.E., Ridker, P.M., Steinberg, S., Stefansson, H., Jakobsson, F., Lawlor, D.A., Evans, D.M., Ring, S.M., Färkkilä, M., Artto, V., Kaunisto, M.A., Freilinger, T., Schoenen, J., Frants, R.R., Pelzer, N., Weller, C.M., Zielman, R., Heath, A.C., Madden, P.A.F., Montgomery, G.W., Martin, N.G., Borck, G., Göbel, H., Heinze, A., Heinze-Kuhn, K., Williams, F.M., Hartikainen, A.-L., Pouta, A., van den Ende, J.., Uitterlinden, A.G., Hofman, A., Amin, N., Hottenga, J.J., Vink, J.M., Heikkilä, K., Alexander, M., Muller-Myhsok, B., Schreiber, S, Meitinger, T., Wichmann, H. E., Aromaa, A., Eriksson, J.G., Traynor, B.J., Trabzuni, D., Rossin, E., Lage, K., Jacobs, S.B., Gibbs, J.R., Birney, E., Kaprio, J., Penninx, B.W.J.H., Boomsma, D.I., van Duijn, C.M., Raitakari, O., Jarvelin, M.-R., Zwart, J.A., Cherkas, L., Strachan, D.P., Kubisch, C., Ferrari, M.D., van den Maagdenberg, A.M.J.M., Dichgans, M., Wessman, M., Smith, G.D., Stefansson, K., Daly, M.J., Nyholt, DR, Chasman, D.I., Palotie, A., Anttila, V., Winsvold, B.S., Gormley, P., Kurth, T., Bettella, F., McMahon, G., Kallela, M., Malik, R., de Vries, B., Terwindt, G., Medland, S.E., Todt, U., McArdle, W.L., Quaye, L., Koiranen, M., Ikram, M.A., Lehtimäki, T., Stam, A.H., Ligthart, L., Wedenoja, J., Dunham, I., Neale, B. M., Palta, P., Hamalainen, E., Schürks, M., Rose, L.M., Buring, J.E., Ridker, P.M., Steinberg, S., Stefansson, H., Jakobsson, F., Lawlor, D.A., Evans, D.M., Ring, S.M., Färkkilä, M., Artto, V., Kaunisto, M.A., Freilinger, T., Schoenen, J., Frants, R.R., Pelzer, N., Weller, C.M., Zielman, R., Heath, A.C., Madden, P.A.F., Montgomery, G.W., Martin, N.G., Borck, G., Göbel, H., Heinze, A., Heinze-Kuhn, K., Williams, F.M., Hartikainen, A.-L., Pouta, A., van den Ende, J.., Uitterlinden, A.G., Hofman, A., Amin, N., Hottenga, J.J., Vink, J.M., Heikkilä, K., Alexander, M., Muller-Myhsok, B., Schreiber, S, Meitinger, T., Wichmann, H. E., Aromaa, A., Eriksson, J.G., Traynor, B.J., Trabzuni, D., Rossin, E., Lage, K., Jacobs, S.B., Gibbs, J.R., Birney, E., Kaprio, J., Penninx, B.W.J.H., Boomsma, D.I., van Duijn, C.M., Raitakari, O., Jarvelin, M.-R., Zwart, J.A., Cherkas, L., Strachan, D.P., Kubisch, C., Ferrari, M.D., van den Maagdenberg, A.M.J.M., Dichgans, M., Wessman, M., Smith, G.D., Stefansson, K., Daly, M.J., Nyholt, DR, Chasman, D.I., and Palotie, A.
Abstract: Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) and 95,425 population-matched controls. We identified 12 loci associated with migraine susceptibility (P < 5 × 10
Published: 2013
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39. Genome-wide association uncovers shared genetic effects among personality traits and mood states.

Author: Luciano, M., Huffman, J.E., Arias Vasquez, A., Vinkhuyzen, A.A.E., Middeldorp, C.M., Giegling, I., Payton, A., Davies, G., Zgaga, L., Janzing, J.G.E., Ke, X., Galesloot, T.E., Hartmann, A.M., Ollier, W., Tenesa, A., Hayward, C., Verhagen, M., Montgomery, G.W., Hottenga, J.J., Konte, B., Starr, J.M., Vitart, V., Vos, P.E., Madden, P.A.F., Willemsen, G., Konnerth, H., Horan, M.A., Porteous, D.J., Campbell, H., Vermeulen, S., Heath, A.C., Wright, A., Polasek, O., Kovacevic, S.B., Hastie, N.D., Franke, B., Boomsma, D.I., Martin, N.G., Rujescu, D., Wilson, J.F., Buitelaar, J.K., Pendleton, N., Rudan, I., Deary, I.J., Luciano, M., Huffman, J.E., Arias Vasquez, A., Vinkhuyzen, A.A.E., Middeldorp, C.M., Giegling, I., Payton, A., Davies, G., Zgaga, L., Janzing, J.G.E., Ke, X., Galesloot, T.E., Hartmann, A.M., Ollier, W., Tenesa, A., Hayward, C., Verhagen, M., Montgomery, G.W., Hottenga, J.J., Konte, B., Starr, J.M., Vitart, V., Vos, P.E., Madden, P.A.F., Willemsen, G., Konnerth, H., Horan, M.A., Porteous, D.J., Campbell, H., Vermeulen, S., Heath, A.C., Wright, A., Polasek, O., Kovacevic, S.B., Hastie, N.D., Franke, B., Boomsma, D.I., Martin, N.G., Rujescu, D., Wilson, J.F., Buitelaar, J.K., Pendleton, N., Rudan, I., and Deary, I.J.
Abstract: 1 september 2012, Item does not contain fulltext, Measures of personality and psychological distress are correlated and exhibit genetic covariance. We conducted univariate genome-wide SNP ( approximately 2.5 million) and gene-based association analyses of these traits and examined the overlap in results across traits, including a prediction analysis of mood states using genetic polygenic scores for personality. Measures of neuroticism, extraversion, and symptoms of anxiety, depression, and general psychological distress were collected in eight European cohorts (n ranged 546-1,338; maximum total n = 6,268) whose mean age ranged from 55 to 79 years. Meta-analysis of the cohort results was performed, with follow-up associations of the top SNPs and genes investigated in independent cohorts (n = 527-6,032). Suggestive association (P = 8 x 10(-8) ) of rs1079196 in the FHIT gene was observed with symptoms of anxiety. Other notable associations (P < 6.09 x 10(-6) ) included SNPs in five genes for neuroticism (LCE3C, POLR3A, LMAN1L, ULK3, SCAMP2), KIAA0802 for extraversion, and NOS1 for general psychological distress. An association between symptoms of depression and rs7582472 (near to MGAT5 and NCKAP5) was replicated in two independent samples, but other replication findings were less consistent. Gene-based tests identified a significant locus on chromosome 15 (spanning five genes) associated with neuroticism which replicated (P < 0.05) in an independent cohort. Support for common genetic effects among personality and mood (particularly neuroticism and depressive symptoms) was found in terms of SNP association overlap and polygenic score prediction. The variance explained by individual SNPs was very small (up to 1%) confirming that there are no moderate/large effects of common SNPs on personality and related traits. (c) 2012 Wiley Periodicals, Inc.
Published: 2012

40. A genome-wide meta-analysis of association studies of Cloninger's Temperament Scales

Author: Service, S.K., Verweij, K.J.H., Lahti, J., Congdon, E., Ekelund, J., Hintsanen, M., Raikkonen, K., Lehtimaki, T., Kahonen, M., Widen, E., Taanila, A., Veijola, J., Heath, A.C., Madden, P.A.F., Montgomery, G.W., Sabatti, C., Jarvelin, M.R., Palotie, A., Raitakari, O., Viikari, J., Martin, N.G., Eriksson, J.G., Keltikangas-Jarvinen, L., Wray, N.R., Freimer, N.B., Service, S.K., Verweij, K.J.H., Lahti, J., Congdon, E., Ekelund, J., Hintsanen, M., Raikkonen, K., Lehtimaki, T., Kahonen, M., Widen, E., Taanila, A., Veijola, J., Heath, A.C., Madden, P.A.F., Montgomery, G.W., Sabatti, C., Jarvelin, M.R., Palotie, A., Raitakari, O., Viikari, J., Martin, N.G., Eriksson, J.G., Keltikangas-Jarvinen, L., Wray, N.R., and Freimer, N.B.
Abstract: Contains fulltext : 156129.pdf (publisher's version ) (Open Access), Temperament has a strongly heritable component, yet multiple independent genome-wide studies have failed to identify significant genetic associations. We have assembled the largest sample to date of persons with genome-wide genotype data, who have been assessed with Cloninger's Temperament and Character Inventory. Sum scores for novelty seeking, harm avoidance, reward dependence and persistence have been measured in over 11 000 persons collected in four different cohorts. Our study had >80% power to identify genome-wide significant loci (P < 1.25 x 10(-8), with correction for testing four scales) accounting for >= 0.4% of the phenotypic variance in temperament scales. Using meta-analysis techniques, gene-based tests and pathway analysis we have tested over 1.2 million single-nucleotide polymorphisms (SNPs) for association to each of the four temperament dimensions. We did not discover any SNPs, genes, or pathways to be significantly related to the four temperament dimensions, after correcting for multiple testing. Less than 1% of the variability in any temperament dimension appears to be accounted for by a risk score derived from the SNPs showing strongest association to the temperament dimensions. Elucidation of genetic loci significantly influencing temperament and personality will require potentially very large samples, and/or a more refined phenotype. Item response theory methodology may be a way to incorporate data from cohorts assessed with multiple personality instruments, and might be a method by which a large sample of a more refined phenotype could be acquired.
Published: 2012

41. Meta-analysis of genome-wide association studies for personality

Author: Moor, M.H.M. de, Costa Jr., P.T., Terracciano, A., Krueger, R.F., Geus, E.J.C. (Eco) de, Toshiko, T., Penninx, B.W.J.H. (Brenda), Esko, T., Madden, P.A.F. (Pamela), Derringer, J., Amin, N. (Najaf), Willemsen, G.A.H.M. (Gonneke), Hottenga, J.J. (Jouke Jan), Distel, M.A. (Marijn), Uda, M. (Manuela), Sanna, S. (Serena), Spinhoven, P., Hartman, C.A., Sullivan, P.F. (Patrick), Realo, A. (Anu), Allik, J., Heath, A.C., Pergadia, M.L., Lin, P., Grucza, R., Nutile, T., Ciullo, M., Rujescu, D. (Dan), Giegling, I. (Ina), Konte, B., Widen, E. (Elisabeth), Cousminer, D.L. (Diana), Eriksson, J.G., Palotie, A., Peltonen, L., Luciano, M. (Michelle), Tenesa, A. (Albert), Davies, G., Lopez, L.M., Hansell, N.K. (Narelle), Medland, S.E. (Sarah), Ferrucci, L., Schlessinger, D., Montgomery, G.W., Wright, M.J. (Margaret), Aulchenko, Y.S. (Yurii), Janssens, A.C.J.W. (Cécile), Oostra, B.A. (Ben), Metspalu, A. (Andres), Deary, I.J. (Ian), Räikkönen, K. (Katri), Bierut, L.J. (Laura), Martin, N.G. (Nicholas), Duijn, C.M. (Cornelia) van, Boomsma, D.I. (Dorret), Abecasis, G.R. (Gonçalo), Agrawal, A. (Arpana), Moor, M.H.M. de, Costa Jr., P.T., Terracciano, A., Krueger, R.F., Geus, E.J.C. (Eco) de, Toshiko, T., Penninx, B.W.J.H. (Brenda), Esko, T., Madden, P.A.F. (Pamela), Derringer, J., Amin, N. (Najaf), Willemsen, G.A.H.M. (Gonneke), Hottenga, J.J. (Jouke Jan), Distel, M.A. (Marijn), Uda, M. (Manuela), Sanna, S. (Serena), Spinhoven, P., Hartman, C.A., Sullivan, P.F. (Patrick), Realo, A. (Anu), Allik, J., Heath, A.C., Pergadia, M.L., Lin, P., Grucza, R., Nutile, T., Ciullo, M., Rujescu, D. (Dan), Giegling, I. (Ina), Konte, B., Widen, E. (Elisabeth), Cousminer, D.L. (Diana), Eriksson, J.G., Palotie, A., Peltonen, L., Luciano, M. (Michelle), Tenesa, A. (Albert), Davies, G., Lopez, L.M., Hansell, N.K. (Narelle), Medland, S.E. (Sarah), Ferrucci, L., Schlessinger, D., Montgomery, G.W., Wright, M.J. (Margaret), Aulchenko, Y.S. (Yurii), Janssens, A.C.J.W. (Cécile), Oostra, B.A. (Ben), Metspalu, A. (Andres), Deary, I.J. (Ian), Räikkönen, K. (Katri), Bierut, L.J. (Laura), Martin, N.G. (Nicholas), Duijn, C.M. (Cornelia) van, Boomsma, D.I. (Dorret), Abecasis, G.R. (Gonçalo), and Agrawal, A. (Arpana)
Abstract: Personality can be thought of as a set of characteristics that influence people's thoughts, feelings and behavior across a variety of settings. Variation in personality is predictive of many outcomes in life
Published: 2012
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42. Do shared etiological factors contribute to the relationship between sexual orientation and depression?

Author: Zietsch, B.P., Verweij, K.J.H., Heath, A.C., Madden, P.A.F., Martin, N.G., Nelson, E.C., Lynskey, M.T., Zietsch, B.P., Verweij, K.J.H., Heath, A.C., Madden, P.A.F., Martin, N.G., Nelson, E.C., and Lynskey, M.T.
Abstract: Item does not contain fulltext, Background. Gays, lesbians and bisexuals (i.e. non-heterosexuals) have been found to be at much greater risk for many psychiatric symptoms and disorders, including depression. This may be due in part to prejudice and discrimination experienced by non-heterosexuals, but studies controlling for minority stress, or performed in very socially liberal countries, suggest that other mechanisms must also play a role. Here we test the viability of common cause (shared genetic or environmental etiology) explanations of elevated depression rates in non-heterosexuals. Method. A community-based sample of adult twins (n = 9884 individuals) completed surveys investigating the genetics of psychiatric disorder, and were also asked about their sexual orientation. Large subsets of the sample were asked about adverse childhood experiences such as sexual abuse, physical abuse and risky family environment, and also about number of older brothers, paternal and maternal age, and number of close friends. Data were analyzed using the classical twin design. Results. Non-heterosexual males and females had higher rates of lifetime depression than their heterosexual counterparts. Genetic factors accounted for 31% and 44% of variation in sexual orientation and depression respectively. Bivariate analysis revealed that genetic factors accounted for a majority (60%) of the correlation between sexual orientation and depression. In addition, childhood sexual abuse and risky family environment were significant predictors of both sexual orientation and depression, further contributing to their correlation. Conclusions. Non-heterosexual men and women had elevated rates of lifetime depression, partly due to shared etiological factors, although causality cannot be definitively resolved.
Published: 2012

43. Unraveling the genetic etiology of adult antisocial behavior: A genome-wide association study

Author: Tielbeek, J.J., Medland, S.E., Benyamin, B., Byrne, E.M., Heath, A.C., Madden, P.A.F., Martin, N.G., Wray, N.R., Verweij, K.J.H., Tielbeek, J.J., Medland, S.E., Benyamin, B., Byrne, E.M., Heath, A.C., Madden, P.A.F., Martin, N.G., Wray, N.R., and Verweij, K.J.H.
Abstract: Contains fulltext : 156135.PDF (publisher's version ) (Open Access), Crime poses a major burden for society. The heterogeneous nature of criminal behavior makes it difficult to unravel its causes. Relatively little research has been conducted on the genetic influences of criminal behavior. The few twin and adoption studies that have been undertaken suggest that about half of the variance in antisocial behavior can be explained by genetic factors. In order to identify the specific common genetic variants underlying this behavior, we conduct the first genome-wide association study (GWAS) on adult antisocial behavior. Our sample comprised a community sample of 4816 individuals who had completed a self-report questionnaire. No genetic polymorphisms reached genome-wide significance for association with adult antisocial behavior. In addition, none of the traditional candidate genes can be confirmed in our study. While not genome-wide significant, the gene with the strongest association (p-value = 8.7x10(-5)) was DYRK1A, a gene previously related to abnormal brain development and mental retardation. Future studies should use larger, more homogeneous samples to disentangle the etiology of antisocial behavior. Biosocial criminological research allows a more empirically grounded understanding of criminal behavior, which could ultimately inform and improve current treatment strategies.
Published: 2012

44. Do shared etiological factors contribute to the relationship between sexual orientation and lifetime depression?

Author: Zietsch, B.P., Verweij, K.J.H., Heath, A.C., Madden, P.A.F., Martin, N.G., Nelson, E.C., Lynskey, M.T., Zietsch, B.P., Verweij, K.J.H., Heath, A.C., Madden, P.A.F., Martin, N.G., Nelson, E.C., and Lynskey, M.T.
Abstract: Background Gays, lesbians and bisexuals (i.e. non-heterosexuals) have been found to be at much greater risk for many psychiatric symptoms and disorders, including depression. This may be due in part to prejudice and discrimination experienced by non-heterosexuals, but studies controlling for minority stress, or performed in very socially liberal countries, suggest that other mechanisms must also play a role. Here we test the viability of common cause (shared genetic or environmental etiology) explanations of elevated depression rates in non-heterosexuals.Method A community-based sample of adult twins (n=9884 individuals) completed surveys investigating the genetics of psychiatric disorder, and were also asked about their sexual orientation. Large subsets of the sample were asked about adverse childhood experiences such as sexual abuse, physical abuse and risky family environment, and also about number of older brothers, paternal and maternal age, and number of close friends. Data were analyzed using the classical twin design.Results Non-heterosexual males and females had higher rates of lifetime depression than their heterosexual counterparts. Genetic factors accounted for 31% and 44% of variation in sexual orientation and depression respectively. Bivariate analysis revealed that genetic factors accounted for a majority (60%) of the correlation between sexual orientation and depression. In addition, childhood sexual abuse and risky family environment were significant predictors of both sexual orientation and depression, further contributing to their correlation.Conclusions Non-heterosexual men and women had elevated rates of lifetime depression, partly due to shared etiological factors, although causality cannot be definitively resolved. © Cambridge University Press 2011.
Published: 2012
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45. The genetics of addiction—a translational perspective

Author: Agrawal, A., Verweij, K.J.H., Gillespie, N.A., Heath, A.C., Lessov-Schlaggar, C.N., Madden, P.A.F., Martin, N.G., Nelson, E.C., Slutske, W.S., Whitfield, J.B., Lynskey, M.T., Agrawal, A., Verweij, K.J.H., Gillespie, N.A., Heath, A.C., Lessov-Schlaggar, C.N., Madden, P.A.F., Martin, N.G., Nelson, E.C., Slutske, W.S., Whitfield, J.B., and Lynskey, M.T.
Abstract: Addictions are serious and common psychiatric disorders, and are among the leading contributors to preventable death. This selective review outlines and highlights the need for a multi-method translational approach to genetic studies of these important conditions, including both licit (alcohol, nicotine) and illicit (cannabis, cocaine, opiates) drug addictions and the behavioral addiction of disordered gambling. First, we review existing knowledge from twin studies that indicates both the substantial heritability of substance-specific addictions and the genetic overlap across addiction to different substances. Next, we discuss the limited number of candidate genes which have shown consistent replication, and the implications of emerging genomewide association findings for the genetic architecture of addictions. Finally, we review the utility of extensions to existing methods such as novel phenotyping, including the use of endophenotypes, biomarkers and neuroimaging outcomes; emerging methods for identifying alternative sources of genetic variation and accompanying statistical methodologies to interpret them; the role of gene-environment interplay; and importantly, the potential role of genetic variation in suggesting new alternatives for treatment of addictions. © 2012 Macmillan Publishers Limited All rights reserved.
Published: 2012
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46. Multi-locus genome-wide association analysis supports the role of glutamatergic synaptic transmission in the etiology of major depressive disorder

Author: Lee, P.H., Perlis, R.H., Jung, J.Y., Byrne, E.M., Rueckert, E., Siburian, R., Haddad, S., Mayerfeld, C.E., Heath, A.C., Pergadia, M.L., Madden, P.A.F., Boomsma, D.I., Penninx, B.W.J.H., Sklar, P., Martin, N.G., Wray, N.R., Purcell, S.M., Smoller, J.W., Lee, P.H., Perlis, R.H., Jung, J.Y., Byrne, E.M., Rueckert, E., Siburian, R., Haddad, S., Mayerfeld, C.E., Heath, A.C., Pergadia, M.L., Madden, P.A.F., Boomsma, D.I., Penninx, B.W.J.H., Sklar, P., Martin, N.G., Wray, N.R., Purcell, S.M., and Smoller, J.W.
Abstract: Major depressive disorder (MDD) is a common psychiatric illness characterized by low mood and loss of interest in pleasurable activities. Despite years of effort, recent genome-wide association studies (GWAS) have identified few susceptibility variants or genes that are robustly associated with MDD. Standard single-SNP (single nucleotide polymorphism)-based GWAS analysis typically has limited power to deal with the extensive heterogeneity and substantial polygenic contribution of individually weak genetic effects underlying the pathogenesis of MDD. Here, we report an alternative, gene-set-based association analysis of MDD in an effort to identify groups of biologically related genetic variants that are involved in the same molecular function or cellular processes and exhibit a significant level of aggregated association with MDD. In particular, we used a text-mining-based data analysis to prioritize candidate gene sets implicated in MDD and conducted a multi-locus association analysis to look for enriched signals of nominally associated MDD susceptibility loci within each of the gene sets. Our primary analysis is based on the meta-analysis of three large MDD GWAS data sets (total N=4346 cases and 4430 controls). After correction for multiple testing, we found that genes involved in glutamatergic synaptic neurotransmission were significantly associated with MDD (set-based association P=6.9 × 10 -4). This result is consistent with previous studies that support a role of the glutamatergic system in synaptic plasticity and MDD and support the potential utility of targeting glutamatergic neurotransmission in the treatment of MDD. © 2012 Macmillan Publishers Limited All rights reserved.
Published: 2012
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47. The genetic association between personality and major depression or bipolar disorder. A polygenic score analysis using genome-wide association data

Author: Middeldorp, C.M. (Christel), Moor, M.H.M. de, McGrath, L.M., Gordon, S.D., Blackwood, D.H.R. (Douglas), Costa Jr., P.T., Terracciano, A., Krueger, R.F., Geus, E.J.C. (Eco) de, Nyholt, D.R. (Dale), Tanaka, T., Esko, T. (Tõnu), Madden, P.A.F. (Pamela), Derringer, J., Amin, N. (Najaf), Willemsen, G.A.H.M. (Gonneke), Hottenga, J.J. (Jouke Jan), Distel, M.A. (Marijn), Uda, M. (Manuela), Sanna, S. (Serena), Spinhoven, P., Hartman, C.A., Ripke, S. (Stephan), Sullivan, P.F., Realo, A. (Anu), Allik, J., Heath, A.C., Pergadia, M.L. (Michele), Agrawal, A. (Arpana), Lin, P., Grucza, R., Widen, E. (Elisabeth), Cousminer, D.L. (Diana), Eriksson, J.G., Palotie, A. (Aarno), Barnett, J.H. (Jennifer), Lee, P.H., Luciano, M. (Michelle), Tenesa, A. (Albert), Davies, G., Lopez, L.M., Hansell, N.K. (Narelle), Medland, S.E. (Sarah), Ferrucci, L., Schlessinger, D., Montgomery, G.W., Wright, M.J. (Margaret), Janssens, A.C.J.W. (Cécile), Oostra, B.A. (Ben), Metspalu, A. (Andres), Deary, I.J. (Ian), Räikkönen, K. (Katri), Bierut, L.J. (Laura), Martin, N.G. (Nicholas), Wray, N.R. (Naomi), Duijn, C.M. (Cornelia) van, Smoller, J.W., Penninx, B.W.J.H. (Brenda), Boomsma, D.I. (Dorret), Abecasis, G.R. (Gonçalo), Aulchenko, Y.S. (Yurii), Middeldorp, C.M. (Christel), Moor, M.H.M. de, McGrath, L.M., Gordon, S.D., Blackwood, D.H.R. (Douglas), Costa Jr., P.T., Terracciano, A., Krueger, R.F., Geus, E.J.C. (Eco) de, Nyholt, D.R. (Dale), Tanaka, T., Esko, T. (Tõnu), Madden, P.A.F. (Pamela), Derringer, J., Amin, N. (Najaf), Willemsen, G.A.H.M. (Gonneke), Hottenga, J.J. (Jouke Jan), Distel, M.A. (Marijn), Uda, M. (Manuela), Sanna, S. (Serena), Spinhoven, P., Hartman, C.A., Ripke, S. (Stephan), Sullivan, P.F., Realo, A. (Anu), Allik, J., Heath, A.C., Pergadia, M.L. (Michele), Agrawal, A. (Arpana), Lin, P., Grucza, R., Widen, E. (Elisabeth), Cousminer, D.L. (Diana), Eriksson, J.G., Palotie, A. (Aarno), Barnett, J.H. (Jennifer), Lee, P.H., Luciano, M. (Michelle), Tenesa, A. (Albert), Davies, G., Lopez, L.M., Hansell, N.K. (Narelle), Medland, S.E. (Sarah), Ferrucci, L., Schlessinger, D., Montgomery, G.W., Wright, M.J. (Margaret), Janssens, A.C.J.W. (Cécile), Oostra, B.A. (Ben), Metspalu, A. (Andres), Deary, I.J. (Ian), Räikkönen, K. (Katri), Bierut, L.J. (Laura), Martin, N.G. (Nicholas), Wray, N.R. (Naomi), Duijn, C.M. (Cornelia) van, Smoller, J.W., Penninx, B.W.J.H. (Brenda), Boomsma, D.I. (Dorret), Abecasis, G.R. (Gonçalo), and Aulchenko, Y.S. (Yurii)
Abstract: The relationship between major depressive disorder (MDD) and bipolar disorder (BD) remains controversial. Previous research has reported differences and similarities in risk factors for MDD and BD, such as predisposing personality traits. For example, high neuroticism is related to both disorders, whereas openness to experience is specific for BD. This study examined the genetic association between personality and MDD and BD by applying polygenic scores for neuroticism, extraversion, openness to experience, agreeableness and conscientiousness to both disorders. Polygenic scores reflect the weighted sum of multiple single-nucleotide polymorphism alleles associated with the trait for an individual and were based on a meta-analysis of genome-wide association studies for personality traits including 13 835 subjects. Polygenic scores were tested for MDD in the combined Genetic Association Information Network (GAIN-MDD) and MDD2000 samples (N=8921) and for BD in the combined Systematic Treatment Enhancement Program for Bipolar Disorder and Wellcome Trust Case-Control Consortium samples (N=6329) using logistic regression analyses. At the phenotypic level, personality dimensions were associated with MDD and BD. Polygenic neuroticism scores were significantly positively associated with MDD, whereas polygenic extraversion scores were significantly positively associated with BD. The explained variance of MDD and BD, ∼0.1%, was highly comparable to the variance explained by the polygenic personality scores in the corresponding personality traits themselves (between 0.1 and 0.4%). This indicates that the proportions of variance explained in mood disorders are at the upper limit of what could have been expected. This study suggests shared genetic risk factors for neuroticism and MDD on the one hand and for extraversion and BD on the other.
Published: 2011
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48. Educational attainment: A genome wide association study in 9538 Australians

Author: Martin, N.W., Medland, S.E., Verweij, K.J.H., Lee, S.H., Nyholt, D.R., Madden, P.A.F., Heath, A.C., Montgomery, G.W., Wright, M.J., Martin, N.G., Martin, N.W., Medland, S.E., Verweij, K.J.H., Lee, S.H., Nyholt, D.R., Madden, P.A.F., Heath, A.C., Montgomery, G.W., Wright, M.J., and Martin, N.G.
Abstract: Contains fulltext : 156163.PDF (publisher's version ) (Open Access), Background: Correlations between Educational Attainment (EA) and measures of cognitive performance are as high as 0.8. This makes EA an attractive alternative phenotype for studies wishing to map genes affecting cognition due to the ease of collecting EA data compared to other cognitive phenotypes such as IQ. Methodology: In an Australian family sample of 9538 individuals we performed a genome-wide association scan (GWAS) using the imputed genotypes of similar to 2.4 million single nucleotide polymorphisms (SNP) for a 6-point scale measure of EA. Top hits were checked for replication in an independent sample of 968 individuals. A gene-based test of association was then applied to the GWAS results. Additionally we performed prediction analyses using the GWAS results from our discovery sample to assess the percentage of EA and full scale IQ variance explained by the predicted scores. Results: The best SNP fell short of having a genome-wide significant p-value (p = 9.77x10(-7)). In our independent replication sample six SNPs among the top 50 hits pruned for linkage disequilibrium (r(2)<0.8) had a p-value <0.05 but only one of these SNPs survived correction for multiple testing - rs7106258 (p = 9.7*10(-4)) located in an intergenic region of chromosome 11q14.1. The gene based test results were non-significant and our prediction analyses show that the predicted scores explained little variance in EA in our replication sample. Conclusion: While we have identified a polymorphism chromosome 11q14.1 associated with EA, further replication is warranted. Overall, the absence of genome-wide significant p-values in our large discovery sample confirmed the high polygenic architecture of EA. Only the assembly of large samples or meta-analytic efforts will be able to assess the implication of common DNA polymorphisms in the etiology of EA.
Published: 2011

49. A 3p26-3p25 Genetic Linkage Finding for DSM-IV Major Depression in Heavy Smoking Families

Author: Pergadia, M.L., Glowinski, A.L., Wray, N.R., Agrawal, A., Saccone, S.F., Loukola, A., Broms, U., Korhonen, T., Penninx, B.W.J.H., Grant, J.D., Nelson, E.C., Henders, A.K., Schrage, A.J., Chou, Y.-L., Keskitalo-Vuokko, K., Zhu, Q., Gordon, S.D., Vink, J.M., de Geus, E.J.C., Macgregor, S., Liu, J.Z., Willemsen, G., Medland, S.E., Boomsma, D.I., Montgomery, GW, Rice, J.P., Goate, A.M., Heath, A.C., Kaprio, J., Martin, N.G., Madden, P.A.F., Pergadia, M.L., Glowinski, A.L., Wray, N.R., Agrawal, A., Saccone, S.F., Loukola, A., Broms, U., Korhonen, T., Penninx, B.W.J.H., Grant, J.D., Nelson, E.C., Henders, A.K., Schrage, A.J., Chou, Y.-L., Keskitalo-Vuokko, K., Zhu, Q., Gordon, S.D., Vink, J.M., de Geus, E.J.C., Macgregor, S., Liu, J.Z., Willemsen, G., Medland, S.E., Boomsma, D.I., Montgomery, GW, Rice, J.P., Goate, A.M., Heath, A.C., Kaprio, J., Martin, N.G., and Madden, P.A.F.
Published: 2011
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50. A genome-wide association study of Cloninger's temperament scales: Implications for the evolutionary genetics of personality

Author: Verweij, K.J.H., Zietsch, B.P., Medland, S.E., Gordon, S.D., Benyamin, B., Nyholt, D.R., McEvoy, B.P., Sullivan, P.F., Heath, A.C., Madden, P.A.F., Henders, A.K., Montgomery, G.W., Martin, N.G., Wray, N.R., Verweij, K.J.H., Zietsch, B.P., Medland, S.E., Gordon, S.D., Benyamin, B., Nyholt, D.R., McEvoy, B.P., Sullivan, P.F., Heath, A.C., Madden, P.A.F., Henders, A.K., Montgomery, G.W., Martin, N.G., and Wray, N.R.
Abstract: Item does not contain fulltext, Variation in personality traits is 30-60% attributed to genetic influences. Attempts to unravel these genetic influences at the molecular level have, so far, been inconclusive. We performed the first genome-wide association study of Cloninger's temperament scales in a sample of 5117 individuals, in order to identify common genetic variants underlying variation in personality. Participants' scores on Harm Avoidance, Novelty Seeking, Reward Dependence, and Persistence were tested for association with 1,252,387 genetic markers. We also performed gene-based association tests and biological pathway analyses. No genetic variants that significantly contribute to personality variation were identified, while our sample provides over 90% power to detect variants that explain only 1% of the trait variance. This indicates that individual common genetic variants of this size or greater do not contribute to personality trait variation, which has important implications regarding the genetic architecture of personality and the evolutionary mechanisms by which heritable variation is maintained.
Published: 2010

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