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2,244 results on '"Iacono, William G."'

2. Resource profile and user guide of the Polygenic Index Repository

Author

Becker, Joel, Burik, Casper AP, Goldman, Grant, Wang, Nancy, Jayashankar, Hariharan, Bennett, Michael, Belsky, Daniel W, Karlsson Linnér, Richard, Ahlskog, Rafael, Kleinman, Aaron, Hinds, David A, Caspi, Avshalom, Corcoran, David L, Moffitt, Terrie E, Poulton, Richie, Sugden, Karen, Williams, Benjamin S, Harris, Kathleen Mullan, Steptoe, Andrew, Ajnakina, Olesya, Milani, Lili, Esko, Tõnu, Iacono, William G, McGue, Matt, Magnusson, Patrik KE, Mallard, Travis T, Harden, K Paige, Tucker-Drob, Elliot M, Herd, Pamela, Freese, Jeremy, Young, Alexander, Beauchamp, Jonathan P, Koellinger, Philipp D, Oskarsson, Sven, Johannesson, Magnus, Visscher, Peter M, Meyer, Michelle N, Laibson, David, Cesarini, David, Benjamin, Daniel J, Turley, Patrick, and Okbay, Aysu

Subjects
Epidemiology, Health Sciences, 2.6 Resources and infrastructure (aetiology), Aetiology, Data Analysis, Databases, Genetic, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Polygenic score, Polygenic index, Repository, Measurement error, 23andMe Research Group, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is growing rapidly. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maximize the PGIs' prediction accuracies, we constructed them using genome-wide association studies-some not previously published-from multiple data sources, including 23andMe and UK Biobank. We present a theoretical framework to help interpret analyses involving PGIs. A key insight is that a PGI can be understood as an unbiased but noisy measure of a latent variable we call the 'additive SNP factor'. Regressions in which the true regressor is this factor but the PGI is used as its proxy therefore suffer from errors-in-variables bias. We derive an estimator that corrects for the bias, illustrate the correction, and make a Python tool for implementing it publicly available.

Published
2021

4. A large-scale genome-wide association study meta-analysis of cannabis use disorder.

Author

Johnson, Emma C, Demontis, Ditte, Thorgeirsson, Thorgeir E, Walters, Raymond K, Polimanti, Renato, Hatoum, Alexander S, Sanchez-Roige, Sandra, Paul, Sarah E, Wendt, Frank R, Clarke, Toni-Kim, Lai, Dongbing, Reginsson, Gunnar W, Zhou, Hang, He, June, Baranger, David AA, Gudbjartsson, Daniel F, Wedow, Robbee, Adkins, Daniel E, Adkins, Amy E, Alexander, Jeffry, Bacanu, Silviu-Alin, Bigdeli, Tim B, Boden, Joseph, Brown, Sandra A, Bucholz, Kathleen K, Bybjerg-Grauholm, Jonas, Corley, Robin P, Degenhardt, Louisa, Dick, Danielle M, Domingue, Benjamin W, Fox, Louis, Goate, Alison M, Gordon, Scott D, Hack, Laura M, Hancock, Dana B, Hartz, Sarah M, Hickie, Ian B, Hougaard, David M, Krauter, Kenneth, Lind, Penelope A, McClintick, Jeanette N, McQueen, Matthew B, Meyers, Jacquelyn L, Montgomery, Grant W, Mors, Ole, Mortensen, Preben B, Nordentoft, Merete, Pearson, John F, Peterson, Roseann E, Reynolds, Maureen D, Rice, John P, Runarsdottir, Valgerdur, Saccone, Nancy L, Sherva, Richard, Silberg, Judy L, Tarter, Ralph E, Tyrfingsson, Thorarinn, Wall, Tamara L, Webb, Bradley T, Werge, Thomas, Wetherill, Leah, Wright, Margaret J, Zellers, Stephanie, Adams, Mark J, Bierut, Laura J, Boardman, Jason D, Copeland, William E, Farrer, Lindsay A, Foroud, Tatiana M, Gillespie, Nathan A, Grucza, Richard A, Harris, Kathleen Mullan, Heath, Andrew C, Hesselbrock, Victor, Hewitt, John K, Hopfer, Christian J, Horwood, John, Iacono, William G, Johnson, Eric O, Kendler, Kenneth S, Kennedy, Martin A, Kranzler, Henry R, Madden, Pamela AF, Maes, Hermine H, Maher, Brion S, Martin, Nicholas G, McGue, Matthew, McIntosh, Andrew M, Medland, Sarah E, Nelson, Elliot C, Porjesz, Bernice, Riley, Brien P, Stallings, Michael C, Vanyukov, Michael M, Vrieze, Scott, Psychiatric Genomics Consortium Substance Use Disorders Workgroup, Davis, Lea K, Bogdan, Ryan, Gelernter, Joel, and Edenberg, Howard J

Subjects
Psychiatric Genomics Consortium Substance Use Disorders Workgroup, Humans, Marijuana Abuse, Risk, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

BackgroundVariation in liability to cannabis use disorder has a strong genetic component (estimated twin and family heritability about 50-70%) and is associated with negative outcomes, including increased risk of psychopathology. The aim of the study was to conduct a large genome-wide association study (GWAS) to identify novel genetic variants associated with cannabis use disorder.MethodsTo conduct this GWAS meta-analysis of cannabis use disorder and identify associations with genetic loci, we used samples from the Psychiatric Genomics Consortium Substance Use Disorders working group, iPSYCH, and deCODE (20 916 case samples, 363 116 control samples in total), contrasting cannabis use disorder cases with controls. To examine the genetic overlap between cannabis use disorder and 22 traits of interest (chosen because of previously published phenotypic correlations [eg, psychiatric disorders] or hypothesised associations [eg, chronotype] with cannabis use disorder), we used linkage disequilibrium score regression to calculate genetic correlations.FindingsWe identified two genome-wide significant loci: a novel chromosome 7 locus (FOXP2, lead single-nucleotide polymorphism [SNP] rs7783012; odds ratio [OR] 1·11, 95% CI 1·07-1·15, p=1·84 × 10-9) and the previously identified chromosome 8 locus (near CHRNA2 and EPHX2, lead SNP rs4732724; OR 0·89, 95% CI 0·86-0·93, p=6·46 × 10-9). Cannabis use disorder and cannabis use were genetically correlated (rg 0·50, p=1·50 × 10-21), but they showed significantly different genetic correlations with 12 of the 22 traits we tested, suggesting at least partially different genetic underpinnings of cannabis use and cannabis use disorder. Cannabis use disorder was positively genetically correlated with other psychopathology, including ADHD, major depression, and schizophrenia.InterpretationThese findings support the theory that cannabis use disorder has shared genetic liability with other psychopathology, and there is a distinction between genetic liability to cannabis use and cannabis use disorder.FundingNational Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Institute on Drug Abuse; Center for Genomics and Personalized Medicine and the Centre for Integrative Sequencing; The European Commission, Horizon 2020; National Institute of Child Health and Human Development; Health Research Council of New Zealand; National Institute on Aging; Wellcome Trust Case Control Consortium; UK Research and Innovation Medical Research Council (UKRI MRC); The Brain & Behavior Research Foundation; National Institute on Deafness and Other Communication Disorders; Substance Abuse and Mental Health Services Administration (SAMHSA); National Institute of Biomedical Imaging and Bioengineering; National Health and Medical Research Council (NHMRC) Australia; Tobacco-Related Disease Research Program of the University of California; Families for Borderline Personality Disorder Research (Beth and Rob Elliott) 2018 NARSAD Young Investigator Grant; The National Child Health Research Foundation (Cure Kids); The Canterbury Medical Research Foundation; The New Zealand Lottery Grants Board; The University of Otago; The Carney Centre for Pharmacogenomics; The James Hume Bequest Fund; National Institutes of Health: Genes, Environment and Health Initiative; National Institutes of Health; National Cancer Institute; The William T Grant Foundation; Australian Research Council; The Virginia Tobacco Settlement Foundation; The VISN 1 and VISN 4 Mental Illness Research, Education, and Clinical Centers of the US Department of Veterans Affairs; The 5th Framework Programme (FP-5) GenomEUtwin Project; The Lundbeck Foundation; NIH-funded Shared Instrumentation Grant S10RR025141; Clinical Translational Sciences Award grants; National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; National Institute of General Medical Sciences.

Published
2020

6. Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis

Author

Tielbeek, Jorim J., Uffelmann, Emil, Williams, Benjamin S., Colodro-Conde, Lucía, Gagnon, Éloi, Mallard, Travis T., Levitt, Brandt E., Jansen, Philip R., Johansson, Ada, Sallis, Hannah M., Pistis, Giorgio, Saunders, Gretchen R. B., Allegrini, Andrea G., Rimfeld, Kaili, Konte, Bettina, Klein, Marieke, Hartmann, Annette M., Salvatore, Jessica E., Nolte, Ilja M., Demontis, Ditte, Malmberg, Anni L. K., Burt, S. Alexandra, Savage, Jeanne E., Sugden, Karen, Poulton, Richie, Harris, Kathleen Mullan, Vrieze, Scott, McGue, Matt, Iacono, William G., Mota, Nina Roth, Mill, Jonathan, Viana, Joana F., Mitchell, Brittany L., Morosoli, Jose J., Andlauer, Till F. M., Ouellet-Morin, Isabelle, Tremblay, Richard E., Côté, Sylvana M., Gouin, Jean-Philippe, Brendgen, Mara R., Dionne, Ginette, Vitaro, Frank, Lupton, Michelle K., Martin, Nicholas G., Castelao, Enrique, Räikkönen, Katri, Eriksson, Johan G., Lahti, Jari, Hartman, Catharina A., Oldehinkel, Albertine J., Snieder, Harold, Liu, Hexuan, Preisig, Martin, Whipp, Alyce, Vuoksimaa, Eero, Lu, Yi, Jern, Patrick, Rujescu, Dan, Giegling, Ina, Palviainen, Teemu, Kaprio, Jaakko, Harden, Kathryn Paige, Munafò, Marcus R., Morneau-Vaillancourt, Geneviève, Plomin, Robert, Viding, Essi, Boutwell, Brian B., Aliev, Fazil, Dick, Danielle M., Popma, Arne, Faraone, Stephen V., Børglum, Anders D., Medland, Sarah E., Franke, Barbara, Boivin, Michel, Pingault, Jean-Baptiste, Glennon, Jeffrey C., Barnes, J. C., Fisher, Simon E., Moffitt, Terrie E., Caspi, Avshalom, Polderman, Tinca J. C., and Posthuma, Danielle

Published
2022
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7. A saturated map of common genetic variants associated with human height

Author

Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U., Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D., Graham, Sarah E., Mukamel, Ronen E., Spracklen, Cassandra N., Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H., Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E., Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S., Akiyama, Masato, Allison, Matthew A., Alvarez, Marcus, Andersen, Mette K., Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F., Bollepalli, Sailalitha, Bonnycastle, Lori L., Bork-Jensen, Jette, Bradfield, Jonathan P., Bradford, Yuki, Braund, Peter S., Brody, Jennifer A., Burgdorf, Kristoffer S., Cade, Brian E., Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E. Warwick, Degenhard, Frauke, Delgado, Graciela E., Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B., Engmann, Jorgen E., Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D., Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E., Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P., Goel, Anuj, Gordon, Scott D., Gorski, Mathias, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F., Havulinna, Aki S., Haworth, Simon J., He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A., Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E., Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E., Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D., Isono, Masato, Jackson, Anne U., Jäger, Susanne, Jansen, Iris E., Johansson, Ingegerd, Jonas, Jost B., Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L., Kentistou, Katherine A., Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E., Knol, Maria J., Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L., Li, Shengchao A., Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian’an, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, McDaid, Aaron F., Meidtner, Karina, Melendez, Tori L., Mercader, Josep M., Milaneschi, Yuri, Miller, Jason E., Millwood, Iona Y., Mishra, Pashupati P., Mitchell, Ruth E., Møllehave, Line T., Morgan, Anna, Mucha, Soeren, Munz, Matthias, Nakatochi, Masahiro, Nelson, Christopher P., Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A., Nolte, Ilja M., Nongmaithem, Suraj S., Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva R. B., Petersen, Liselotte V., Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H., Pyarajan, Saiju, Raffield, Laura M., Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Dennis, Rayner, Nigel W., Riveros, Carlos, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E., Ryan, Kathleen A., Sabater-Lleal, Maria, Saxena, Richa, Scholz, Markus, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M., Slieker, Roderick C., Smit, Roelof A. J., Smith, Albert V., Smith, Jennifer A., Smyth, Laura J., Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D., Tayo, Bamidele O., Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J., Thorleifsson, Gudmar, Timmers, Paul R. H. J., Trompet, Stella, Turman, Constance, Vaccargiu, Simona, van der Laan, Sander W., van der Most, Peter J., van Klinken, Jan B., van Setten, Jessica, Verma, Shefali S., Verweij, Niek, Veturi, Yogasudha, Wang, Carol A., Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R., Bin Wei, Wen, Wickremasinghe, Ananda R., Wielscher, Matthias, Wiggins, Kerri L., Winsvold, Bendik S., Wong, Andrew, Wu, Yang, Wuttke, Matthias, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A., Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, Zimmermann, Martina E., Zoledziewska, Magdalena, Adair, Linda S., Adams, Hieab H. H., Aguilar-Salinas, Carlos A., Al-Mulla, Fahd, Arnett, Donna K., Asselbergs, Folkert W., Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A., Bergler, Tobias, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Hans, Boerwinkle, Eric, Böger, Carsten A., Bønnelykke, Klaus, Boomsma, Dorret I., Børglum, Anders D., Borja, Judith B., Bouchard, Claude, Bowden, Donald W., Brandslund, Ivan, Brumpton, Ben, Buring, Julie E., Caulfield, Mark J., Chambers, John C., Chandak, Giriraj R., Chanock, Stephen J., Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E., Ciullo, Marina, Cole, John W., Collins, Francis S., Cooper, Richard S., Cruz, Miguel, Cucca, Francesco, Cupples, L. Adrienne, Cutler, Michael J., Damrauer, Scott M., Dantoft, Thomas M., de Borst, Gert J., de Groot, Lisette C. P. G. M., De Jager, Philip L., de Kleijn, Dominique P. V., Janaka de Silva, H., Dedoussis, George V., den Hollander, Anneke I., Du, Shufa, Easton, Douglas F., Elders, Petra J. M., Eliassen, A. Heather, Ellinor, Patrick T., Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K., Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F., Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W., Freedman, Barry I., Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E., Golightly, Yvonne M., Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan F. A., Grarup, Niels, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A., Hattersley, Andrew T., Hayward, Caroline, Heckbert, Susan R., Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W., Hishigaki, Haretsugu, Hoyng, Carel B., Huang, Paul L., Huang, Wei, Hunt, Steven C., Hveem, Kristian, Hyppönen, Elina, Iacono, William G., Ichihara, Sahoko, Ikram, M. Arfan, Isasi, Carmen R., Jackson, Rebecca D., Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K., Jousilahti, Pekka, Jukema, J. Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon L. R., Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V., Khor, Chiea Chuen, Kiemeney, Lambertus A. L. M., Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulus, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A., Kolovou, Genovefa D., Kooner, Jaspal S., Kooperberg, Charles, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M., Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A., Langenberg, Claudia, Launer, Lenore J., Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R., Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lars, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Markus, London, Barry, Lubitz, Steven A., Lye, Stephen J., Mackey, David A., Mägi, Reedik, Magnusson, Patrik K. E., Marcus, Gregory M., Vidal, Pedro Marques, Martin, Nicholas G., März, Winfried, Matsuda, Fumihiko, McGarrah, Robert W., McGue, Matt, McKnight, Amy Jayne, Medland, Sarah E., Mellström, Dan, Metspalu, Andres, Mitchell, Braxton D., Mitchell, Paul, Mook-Kanamori, Dennis O., Morris, Andrew D., Mucci, Lorelei A., Munroe, Patricia B., Nalls, Mike A., Nazarian, Saman, Nelson, Amanda E., Neville, Matt J., Newton-Cheh, Christopher, Nielsen, Christopher S., Nöthen, Markus M., Ohlsson, Claes, Oldehinkel, Albertine J., Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin N. A., Parra, Esteban J., Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E., Penninx, Brenda W. J. H., Perusse, Louis, Peters, Annette, Peyser, Patricia A., Porteous, David J., Posthuma, Danielle, Power, Chris, Pramstaller, Peter P., Province, Michael A., Qi, Qibin, Qu, Jia, Rader, Daniel J., Raitakari, Olli T., Ralhan, Sarju, Rallidis, Loukianos S., Rao, Dabeeru C., Redline, Susan, Reilly, Dermot F., Reiner, Alexander P., Rhee, Sang Youl, Ridker, Paul M., Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D., Roden, Dan M., Rosendaal, Frits R., Rotter, Jerome I., Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sanghera, Dharambir K., Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B., Schunkert, Heribert, Scott, Laura J., Scott, Rodney J., Sever, Peter, Shiroma, Eric J., Shoemaker, M. Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M., Sims, Mario, Singh, Jai Rup, Singleton, Andrew B., Sinner, Moritz F., Smith, J. Gustav, Snieder, Harold, Spector, Tim D., Stampfer, Meir J., Stark, Klaus J., Strachan, David P., ‘t Hart, Leen M., Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A., Timpson, Nicholas J., Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G., van Dam, Rob M., van der Harst, Pim, Van der Velde, Nathalie, van Duijn, Cornelia M., van Schoor, Natasja M., Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H., Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J., Watanabe, Richard M., Watkins, Hugh, Weir, David R., Werge, Thomas M., Widen, Elisabeth, Wilkens, Lynne R., Willemsen, Gonneke, Willett, Walter C., Wilson, James F., Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F., Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S., Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S., Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M., Zonderman, Alan B., Zwart, John-Anker, Chasman, Daniel I., Cho, Yoon Shin, Heid, Iris M., McCarthy, Mark I., Ng, Maggie C. Y., O’Donnell, Christopher J., Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V., Tai, E. Shyong, Boehnke, Michael, Deloukas, Panos, Justice, Anne E., Lindgren, Cecilia M., Loos, Ruth J. F., Mohlke, Karen L., North, Kari E., Stefansson, Kari, Walters, Robin G., Winkler, Thomas W., Young, Kristin L., Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L., Auton, Adam, Abecasis, Goncalo R., Willer, Cristen J., Locke, Adam E., Berndt, Sonja I., Lettre, Guillaume, Frayling, Timothy M., Okada, Yukinori, Wood, Andrew R., Visscher, Peter M., and Hirschhorn, Joel N.

Published
2022
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9. Mechanisms of Parent-Child Transmission of Tobacco and Alcohol Use with Polygenic Risk Scores: Evidence for a Genetic Nurture Effect

Author

Saunders, Gretchen R. B., Liu, Mengzhen, Vrieze, Scott, McGue, Matt, and Iacono, William G.

Abstract

Parent-child similarity is a function of genetic and environmental transmission. In addition, genetic effects not transmitted to offspring may drive parental behavior, thereby affecting the rearing environment of the child. Measuring genetic proclivity directly, through polygenic risk scores (PRSs), provides a way to test for the effect of nontransmitted parental genotype, on offspring outcome, termed a "genetic nurture" effect--in other words, if and how parental genomes might affect their children through the environment. The current study used polygenic risk scores for smoking initiation, cigarettes per day, and drinks per week to predict substance use in a sample of 3,008 twins, assessed prospectively from age 17-29, and their parents, from the Minnesota Center for Twin and Family Research. Mixed-effects models were used to test for a genetic nurture effect whereby parental PRSs predict offspring tobacco and alcohol use after statistically adjusting for offspring's own PRS. Parental smoking initiation PRS predicted offspring cigarettes per day at age 24 ([beta] = 0.103, 95% CI [0.03, 0.17]) and alcohol use at age 17 ([beta] = 0.091, 95% CI [0.04, 0.14]) independent of shared genetics. There was also a suggestive independent association between the parent PRS and offspring smoking at age 17 ([beta] = 0.096; 95% CI [0.02, 0.17]). Mediation analyses provided some evidence for environmental effects of parental smoking, alcohol use, and family socioeconomic status. These findings, and more broadly the molecular genetic method used, have implications on the identification of environmental effects on developmental outcomes such as substance use. [The article was co-written with the GWAS & Sequencing Consortium of Alcohol and Nicotine Use (GSCAN).]

Published
2021
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10. Personality heterogeneity in adolescents with disruptive behavior disorders

Author

Wilson, Sylia, Hopwood, Christopher J, McGue, Matt, and Iacono, William G

Subjects
Psychology, Clinical and Health Psychology, Social and Personality Psychology, Applied and Developmental Psychology, Brain Disorders, Mind and Body, Violence Research, Clinical Research, Behavioral and Social Science, Mental Health, Pediatric, Youth Violence, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Good Health and Well Being, Personality, Externalizing psychopathology, Disruptive behavior disorders, Adolescence, adolescence, disruptive behavior disorders, externalizing psychopathology, Business and Management, Cognitive Sciences, Social Psychology, Applied and developmental psychology, Cognitive and computational psychology, Social and personality psychology
Abstract

We first confirmed adolescents diagnosed with disruptive behavior disorders (oppositional defiant, conduct disorder; n = 158) had lower constraint and higher negative emotionality, and greater psychiatric comorbidity and psychosocial dysfunction, relative to adolescents without (n = 755), in a population-based sample enriched for externalizing psychopathology (mean age = 17.90 years; 52% female). We then explored whether different personality types, defined by patterns of personality identified via latent profile analysis, were differently associated with clinical features in adolescents with a disruptive behavior disorder diagnosis. Four distinct personality types ("disinhibited," "high distress," "low distress," "positive") were meaningfully different from one another. Results highlight personality heterogeneity as a means of identifying individuals at greatest risk for the most deleterious forms of externalizing psychopathology.

Published
2019

11. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use

Author

Liu, Mengzhen, Jiang, Yu, Wedow, Robbee, Li, Yue, Brazel, David M, Chen, Fang, Datta, Gargi, Davila-Velderrain, Jose, McGuire, Daniel, Tian, Chao, Zhan, Xiaowei, Choquet, Hélène, Docherty, Anna R, Faul, Jessica D, Foerster, Johanna R, Fritsche, Lars G, Gabrielsen, Maiken Elvestad, Gordon, Scott D, Haessler, Jeffrey, Hottenga, Jouke-Jan, Huang, Hongyan, Jang, Seon-Kyeong, Jansen, Philip R, Ling, Yueh, Mägi, Reedik, Matoba, Nana, McMahon, George, Mulas, Antonella, Orrù, Valeria, Palviainen, Teemu, Pandit, Anita, Reginsson, Gunnar W, Skogholt, Anne Heidi, Smith, Jennifer A, Taylor, Amy E, Turman, Constance, Willemsen, Gonneke, Young, Hannah, Young, Kendra A, Zajac, Gregory JM, Zhao, Wei, Zhou, Wei, Bjornsdottir, Gyda, Boardman, Jason D, Boehnke, Michael, Boomsma, Dorret I, Chen, Chu, Cucca, Francesco, Davies, Gareth E, Eaton, Charles B, Ehringer, Marissa A, Esko, Tõnu, Fiorillo, Edoardo, Gillespie, Nathan A, Gudbjartsson, Daniel F, Haller, Toomas, Harris, Kathleen Mullan, Heath, Andrew C, Hewitt, John K, Hickie, Ian B, Hokanson, John E, Hopfer, Christian J, Hunter, David J, Iacono, William G, Johnson, Eric O, Kamatani, Yoichiro, Kardia, Sharon LR, Keller, Matthew C, Kellis, Manolis, Kooperberg, Charles, Kraft, Peter, Krauter, Kenneth S, Laakso, Markku, Lind, Penelope A, Loukola, Anu, Lutz, Sharon M, Madden, Pamela AF, Martin, Nicholas G, McGue, Matt, McQueen, Matthew B, Medland, Sarah E, Metspalu, Andres, Mohlke, Karen L, Nielsen, Jonas B, Okada, Yukinori, Peters, Ulrike, Polderman, Tinca JC, Posthuma, Danielle, Reiner, Alexander P, Rice, John P, Rimm, Eric, Rose, Richard J, Runarsdottir, Valgerdur, Stallings, Michael C, Stančáková, Alena, Stefansson, Hreinn, Thai, Khanh K, Tindle, Hilary A, Tyrfingsson, Thorarinn, and Wall, Tamara L

Subjects
Substance Misuse, Human Genome, Brain Disorders, Tobacco, Tobacco Smoke and Health, Genetics, Alcoholism, Alcohol Use and Health, Prevention, Aetiology, 2.1 Biological and endogenous factors, Stroke, Cancer, Cardiovascular, Good Health and Well Being, Alcohol Drinking, Female, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Phenotype, Risk, Smoking, Tobacco Use Disorder, 23andMe Research Team, HUNT All-In Psychiatry, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6-11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures.

Published
2019

20. A large-scale genome-wide association study meta-analysis of cannabis use disorder

Author

Walters, Raymond, Polimanti, Renato, Johnson, Emma, McClintick, Jeanette, Hatoum, Alexander, He, June, Wendt, Frank, Zhou, Hang, Adams, Mark, Adkins, Amy, Aliev, Fazil, Bacanu, Silviu-Alin, Batzler, Anthony, Bertelsen, Sarah, Biernacka, Joanna, Bigdeli, Tim, Chen, Li-Shiun, Clarke, Toni-Kim, Chou, Yi-Ling, Degenhardt, Franziska, Docherty, Anna, Edwards, Alexis, Fontanillas, Pierre, Foo, Jerome, Fox, Louis, Frank, Josef, Giegling, Ina, Gordon, Scott, Hack, Laura, Hartmann, Annette, Hartz, Sarah, Heilmann-Heimbach, Stefanie, Herms, Stefan, Hodgkinson, Colin, Hoffman, Per, Hottenga, Jouke, Kennedy, Martin, Alanne-Kinnunen, Mervi, Konte, Bettina, Lahti, Jari, Lahti-Pulkkinen, Marius, Lai, Dongbing, Ligthart, Lannie, Loukola, Anu, Maher, Brion, Mbarek, Hamdi, McIntosh, Andrew, McQueen, Matthew, Meyers, Jacquelyn, Milaneschi, Yuri, Palviainen, Teemu, Pearson, John, Peterson, Roseann, Ripatti, Samuli, Ryu, Euijung, Saccone, Nancy, Salvatore, Jessica, Sanchez-Roige, Sandra, Schwandt, Melanie, Sherva, Richard, Streit, Fabian, Strohmaier, Jana, Thomas, Nathaniel, Wang, Jen-Chyong, Webb, Bradley, Wedow, Robbee, Wetherill, Leah, Wills, Amanda, Boardman, Jason, Chen, Danfeng, Choi, Doo-Sup, Copeland, William, Culverhouse, Robert, Dahmen, Norbert, Degenhardt, Louisa, Domingue, Benjamin, Elson, Sarah, Frye, Mark, Gäbel, Wolfgang, Hayward, Caroline, Ising, Marcus, Keyes, Margaret, Kiefer, Falk, Kramer, John, Kuperman, Samuel, Lucae, Susanne, Lynskey, Michael, Maier, Wolfgang, Mann, Karl, Männistö, Satu, Müller-Myhsok, Bertram, Murray, Alison, Nurnberger, John, Palotie, Aarno, Preuss, Ulrich, Räikkönen, Katri, Reynolds, Maureen, Ridinger, Monika, Scherbaum, Norbert, Schuckit, Marc, Soyka, Michael, Treutlein, Jens, Witt, Stephanie, Wodarz, Norbert, Zill, Peter, Adkins, Daniel, Boden, Joseph, Boomsma, Dorret, Bierut, Laura, Brown, Sandra, Bucholz, Kathleen, Cichon, Sven, Costello, E. Jane, de Wit, Harriet, Diazgranados, Nancy, Dick, Danielle, Eriksson, Johan, Farrer, Lindsay, Foroud, Tatiana, Gillespie, Nathan, Goate, Alison, Goldman, David, Grucza, Richard, Hancock, Dana, Harris, Kathleen Mullan, Heath, Andrew, Hesselbrock, Victor, Hewitt, John, Hopfer, Christian, Horwood, John, Iacono, William, Johnson, Eric, Kaprio, Jaakko, Karpyak, Victor, Kendler, Kenneth, Kranzler, Henry, Krauter, Kenneth, Lichtenstein, Paul, Lind, Penelope, McGue, Matt, MacKillop, James, Madden, Pamela, Maes, Hermine, Magnusson, Patrik, Martin, Nicholas, Medland, Sarah, Montgomery, Grant, Nelson, Elliot, Nöthen, Markus, Palmer, Abraham, Pederson, Nancy, Penninx, Brenda, Porjesz, Bernice, Rice, John, Rietschel, Marcella, Riley, Brien, Rose, Richard, Rujescu, Dan, Shen, Pei-Hong, Silberg, Judy, Stallings, Michael, Tarter, Ralph, Vanyukov, Michael, Vrieze, Scott, Wall, Tamara, Whitfield, John, Zhao, Hongyu, Neale, Benjamin, Gelernter, Joel, Edenberg, Howard, Agrawal, Arpana, Johnson, Emma C, Demontis, Ditte, Thorgeirsson, Thorgeir E, Walters, Raymond K, Hatoum, Alexander S, Paul, Sarah E, Wendt, Frank R, Reginsson, Gunnar W, Baranger, David A A, Gudbjartsson, Daniel F, Adkins, Daniel E, Adkins, Amy E, Alexander, Jeffry, Bigdeli, Tim B, Brown, Sandra A, Bucholz, Kathleen K, Bybjerg-Grauholm, Jonas, Corley, Robin P, Dick, Danielle M, Domingue, Benjamin W, Goate, Alison M, Gordon, Scott D, Hack, Laura M, Hancock, Dana B, Hartz, Sarah M, Hickie, Ian B, Hougaard, David M, Lind, Penelope A, McClintick, Jeanette N, McQueen, Matthew B, Meyers, Jacquelyn L, Montgomery, Grant W, Mors, Ole, Mortensen, Preben B, Nordentoft, Merete, Pearson, John F, Peterson, Roseann E, Reynolds, Maureen D, Rice, John P, Runarsdottir, Valgerdur, Saccone, Nancy L, Silberg, Judy L, Tarter, Ralph E, Tyrfingsson, Thorarinn, Wall, Tamara L, Webb, Bradley T, Werge, Thomas, Wright, Margaret J, Zellers, Stephanie, Adams, Mark J, Bierut, Laura J, Boardman, Jason D, Copeland, William E, Farrer, Lindsay A, Foroud, Tatiana M, Gillespie, Nathan A, Grucza, Richard A, Heath, Andrew C, Hewitt, John K, Hopfer, Christian J, Iacono, William G, Johnson, Eric O, Kendler, Kenneth S, Kennedy, Martin A, Kranzler, Henry R, Madden, Pamela A F, Maes, Hermine H, Maher, Brion S, Martin, Nicholas G, McGue, Matthew, McIntosh, Andrew M, Medland, Sarah E, Nelson, Elliot C, Riley, Brien P, Stallings, Michael C, Vanyukov, Michael M, Davis, Lea K, Bogdan, Ryan, Edenberg, Howard J, Stefansson, Kari, and Børglum, Anders D

Published
2020
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25. Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium

Author

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

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

Extraversion is a relatively stable and heritable personality trait associated with numerous psychosocial, lifestyle and health outcomes. Despite its substantial heritability, no genetic variants have been detected in previous genome-wide association (GWA) studies, which may be due to relatively small sample sizes of those studies. Here, we report on a large meta-analysis of GWA studies for extraversion in 63,030 subjects in 29 cohorts. Extraversion item data from multiple personality inventories were harmonized across inventories and cohorts. No genome-wide significant associations were found at the single nucleotide polymorphism (SNP) level but there was one significant hit at the gene level for a long non-coding RNA site (LOC101928162). Genome-wide complex trait analysis in two large cohorts showed that the additive variance explained by common SNPs was not significantly different from zero, but polygenic risk scores, weighted using linkage information, significantly predicted extraversion scores in an independent cohort. These results show that extraversion is a highly polygenic personality trait, with an architecture possibly different from other complex human traits, including other personality traits. Future studies are required to further determine which genetic variants, by what modes of gene action, constitute the heritable nature of extraversion.

Published
2016

26. Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts

Author

Schwantes-An, Tae-Hwi, Zhang, Juan, Chen, Li-Shiun, Hartz, Sarah M, Culverhouse, Robert C, Chen, Xiangning, Coon, Hilary, Frank, Josef, Kamens, Helen M, Konte, Bettina, Kovanen, Leena, Latvala, Antti, Legrand, Lisa N, Maher, Brion S, Melroy, Whitney E, Nelson, Elliot C, Reid, Mark W, Robinson, Jason D, Shen, Pei-Hong, Yang, Bao-Zhu, Andrews, Judy A, Aveyard, Paul, Beltcheva, Olga, Brown, Sandra A, Cannon, Dale S, Cichon, Sven, Corley, Robin P, Dahmen, Norbert, Degenhardt, Louisa, Foroud, Tatiana, Gaebel, Wolfgang, Giegling, Ina, Glatt, Stephen J, Grucza, Richard A, Hardin, Jill, Hartmann, Annette M, Heath, Andrew C, Herms, Stefan, Hodgkinson, Colin A, Hoffmann, Per, Hops, Hyman, Huizinga, David, Ising, Marcus, Johnson, Eric O, Johnstone, Elaine, Kaneva, Radka P, Kendler, Kenneth S, Kiefer, Falk, Kranzler, Henry R, Krauter, Ken S, Levran, Orna, Lucae, Susanne, Lynskey, Michael T, Maier, Wolfgang, Mann, Karl, Martin, Nicholas G, Mattheisen, Manuel, Montgomery, Grant W, Müller-Myhsok, Bertram, Murphy, Michael F, Neale, Michael C, Nikolov, Momchil A, Nishita, Denise, Nöthen, Markus M, Nurnberger, John, Partonen, Timo, Pergadia, Michele L, Reynolds, Maureen, Ridinger, Monika, Rose, Richard J, Rouvinen-Lagerström, Noora, Scherbaum, Norbert, Schmäl, Christine, Soyka, Michael, Stallings, Michael C, Steffens, Michael, Treutlein, Jens, Tsuang, Ming, Wall, Tamara L, Wodarz, Norbert, Yuferov, Vadim, Zill, Peter, Bergen, Andrew W, Chen, Jingchun, Cinciripini, Paul M, Edenberg, Howard J, Ehringer, Marissa A, Ferrell, Robert E, Gelernter, Joel, Goldman, David, Hewitt, John K, Hopfer, Christian J, Iacono, William G, Kaprio, Jaakko, Kreek, Mary Jeanne, Kremensky, Ivo M, Madden, Pamela AF, McGue, Matt, Munafò, Marcus R, and Philibert, Robert A

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Tobacco, Tobacco Smoke and Health, Brain Disorders, Drug Abuse (NIDA only), Substance Misuse, Genetics, Mental health, Good Health and Well Being, Adolescent, Adult, Alleles, Case-Control Studies, Child, Cohort Studies, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Male, Polymorphism, Single Nucleotide, Receptors, Opioid, mu, Sample Size, Substance-Related Disorders, White People, Addiction, Substance dependence, OPRM1, Opioid receptor, Single nucleotide polymorphism, Genetic association, Zoology, Neurosciences, Genetics & Heredity, Biomedical and clinical sciences, Health sciences
Abstract

The mu1 opioid receptor gene, OPRM1, has long been a high-priority candidate for human genetic studies of addiction. Because of its potential functional significance, the non-synonymous variant rs1799971 (A118G, Asn40Asp) in OPRM1 has been extensively studied, yet its role in addiction has remained unclear, with conflicting association findings. To resolve the question of what effect, if any, rs1799971 has on substance dependence risk, we conducted collaborative meta-analyses of 25 datasets with over 28,000 European-ancestry subjects. We investigated non-specific risk for "general" substance dependence, comparing cases dependent on any substance to controls who were non-dependent on all assessed substances. We also examined five specific substance dependence diagnoses: DSM-IV alcohol, opioid, cannabis, and cocaine dependence, and nicotine dependence defined by the proxy of heavy/light smoking (cigarettes-per-day >20 vs. ≤ 10). The G allele showed a modest protective effect on general substance dependence (OR = 0.90, 95% C.I. [0.83-0.97], p value = 0.0095, N = 16,908). We observed similar effects for each individual substance, although these were not statistically significant, likely because of reduced sample sizes. We conclude that rs1799971 contributes to mechanisms of addiction liability that are shared across different addictive substances. This project highlights the benefits of examining addictive behaviors collectively and the power of collaborative data sharing and meta-analyses.

Published
2016

27. Genome-wide association study meta-analysis of dizygotic twinning illuminates genetic regulation of female fecundity

Author

Mbarek, Hamdi, primary, Gordon, Scott D, additional, Duffy, David L, additional, Hubers, Nikki, additional, Mortlock, Sally, additional, Beck, Jeffrey J, additional, Hottenga, Jouke-Jan, additional, Pool, René, additional, Dolan, Conor V, additional, Actkins, Ky’Era V, additional, Gerring, Zachary F, additional, Van Dongen, Jenny, additional, Ehli, Erik A, additional, Iacono, William G, additional, Mcgue, Matt, additional, Chasman, Daniel I, additional, Gallagher, C Scott, additional, Schilit, Samantha L P, additional, Morton, Cynthia C, additional, Paré, Guillaume, additional, Willemsen, Gonneke, additional, Whiteman, David C, additional, Olsen, Catherine M, additional, Derom, Catherine, additional, Vlietinck, Robert, additional, Gudbjartsson, Daniel, additional, Cannon-Albright, Lisa, additional, Krapohl, Eva, additional, Plomin, Robert, additional, Magnusson, Patrik K E, additional, Pedersen, Nancy L, additional, Hysi, Pirro, additional, Mangino, Massimo, additional, Spector, Timothy D, additional, Palviainen, Teemu, additional, Milaneschi, Yuri, additional, Penninnx, Brenda W, additional, Campos, Adrian I, additional, Ong, Ken K, additional, Perry, John R B, additional, Lambalk, Cornelis B, additional, Kaprio, Jaakko, additional, Ólafsson, Ísleifur, additional, Duroure, Karine, additional, Revenu, Céline, additional, Rentería, Miguel E, additional, Yengo, Loic, additional, Davis, Lea, additional, Derks, Eske M, additional, Medland, Sarah E, additional, Stefansson, Hreinn, additional, Stefansson, Kari, additional, Del Bene, Filippo, additional, Reversade, Bruno, additional, Montgomery, Grant W, additional, Boomsma, Dorret I, additional, and Martin, Nicholas G, additional

Published
2023
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29. Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder

Author

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

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

ImportanceNeuroticism is a pervasive risk factor for psychiatric conditions. It genetically overlaps with major depressive disorder (MDD) and is therefore an important phenotype for psychiatric genetics. The Genetics of Personality Consortium has created a resource for genome-wide association analyses of personality traits in more than 63,000 participants (including MDD cases).ObjectivesTo identify genetic variants associated with neuroticism by performing a meta-analysis of genome-wide association results based on 1000 Genomes imputation; to evaluate whether common genetic variants as assessed by single-nucleotide polymorphisms (SNPs) explain variation in neuroticism by estimating SNP-based heritability; and to examine whether SNPs that predict neuroticism also predict MDD.Design, setting, and participantsGenome-wide association meta-analysis of 30 cohorts with genome-wide genotype, personality, and MDD data from the Genetics of Personality Consortium. The study included 63,661 participants from 29 discovery cohorts and 9786 participants from a replication cohort. Participants came from Europe, the United States, or Australia. Analyses were conducted between 2012 and 2014.Main outcomes and measuresNeuroticism scores harmonized across all 29 discovery cohorts by item response theory analysis, and clinical MDD case-control status in 2 of the cohorts.ResultsA genome-wide significant SNP was found on 3p14 in MAGI1 (rs35855737; P = 9.26 × 10-9 in the discovery meta-analysis). This association was not replicated (P = .32), but the SNP was still genome-wide significant in the meta-analysis of all 30 cohorts (P = 2.38 × 10-8). Common genetic variants explain 15% of the variance in neuroticism. Polygenic scores based on the meta-analysis of neuroticism in 27 cohorts significantly predicted neuroticism (1.09 × 10-12

Published
2015

30. Genome-Wide Association Study of Behavioral Disinhibition in a Selected Adolescent Sample

Author

Derringer, Jaime, Corley, Robin P, Haberstick, Brett C, Young, Susan E, Demmitt, Brittany A, Howrigan, Daniel P, Kirkpatrick, Robert M, Iacono, William G, McGue, Matt, Keller, Matthew C, Brown, Sandra, Tapert, Susan, Hopfer, Christian J, Stallings, Michael C, Crowley, Thomas J, Rhee, Soo Hyun, Krauter, Ken, Hewitt, John K, and McQueen, Matthew B

Subjects
Biological Psychology, Psychology, Substance Misuse, Clinical Research, Pediatric, Drug Abuse (NIDA only), Genetics, Mental Health, Behavioral and Social Science, Violence Research, Human Genome, Youth Violence, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Adolescent, Alcoholism, Alleles, Antisocial Personality Disorder, Conduct Disorder, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Impulsive Behavior, Likelihood Functions, Male, Phenotype, Polymorphism, Single Nucleotide, Risk-Taking, Substance-Related Disorders, Behavioral disinhibition, GWAS, Pathway analysis, Heritability, Zoology, Neurosciences, Genetics & Heredity, Biomedical and clinical sciences, Health sciences
Abstract

Behavioral disinhibition (BD) is a quantitative measure designed to capture the heritable variation encompassing risky and impulsive behaviors. As a result, BD represents an ideal target for discovering genetic loci that predispose individuals to a wide range of antisocial behaviors and substance misuse that together represent a large cost to society as a whole. Published genome-wide association studies (GWAS) have examined specific phenotypes that fall under the umbrella of BD (e.g. alcohol dependence, conduct disorder); however no GWAS has specifically examined the overall BD construct. We conducted a GWAS of BD using a sample of 1,901 adolescents over-selected for characteristics that define high BD, such as substance and antisocial behavior problems, finding no individual locus that surpassed genome-wide significance. Although no single SNP was significantly associated with BD, restricted maximum likelihood analysis estimated that 49.3 % of the variance in BD within the Caucasian sub-sample was accounted for by the genotyped SNPs (p = 0.06). Gene-based tests identified seven genes associated with BD (p ≤ 2.0 × 10(-6)). Although the current study was unable to identify specific SNPs or pathways with replicable effects on BD, the substantial sample variance that could be explained by all genotyped SNPs suggests that larger studies could successfully identify common variants associated with BD.

Published
2015

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

Author

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

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

ImportanceNeuroticism is a pervasive risk factor for psychiatric conditions. It genetically overlaps with major depressive disorder (MDD) and is therefore an important phenotype for psychiatric genetics. The Genetics of Personality Consortium has created a resource for genome-wide association analyses of personality traits in more than 63,000 participants (including MDD cases).ObjectivesTo identify genetic variants associated with neuroticism by performing a meta-analysis of genome-wide association results based on 1000 Genomes imputation; to evaluate whether common genetic variants as assessed by single-nucleotide polymorphisms (SNPs) explain variation in neuroticism by estimating SNP-based heritability; and to examine whether SNPs that predict neuroticism also predict MDD.Design, setting, and participantsGenome-wide association meta-analysis of 30 cohorts with genome-wide genotype, personality, and MDD data from the Genetics of Personality Consortium. The study included 63,661 participants from 29 discovery cohorts and 9786 participants from a replication cohort. Participants came from Europe, the United States, or Australia. Analyses were conducted between 2012 and 2014.Main outcomes and measuresNeuroticism scores harmonized across all 29 discovery cohorts by item response theory analysis, and clinical MDD case-control status in 2 of the cohorts.ResultsA genome-wide significant SNP was found on 3p14 in MAGI1 (rs35855737; P = 9.26 × 10-9 in the discovery meta-analysis). This association was not replicated (P = .32), but the SNP was still genome-wide significant in the meta-analysis of all 30 cohorts (P = 2.38 × 10-8). Common genetic variants explain 15% of the variance in neuroticism. Polygenic scores based on the meta-analysis of neuroticism in 27 cohorts significantly predicted neuroticism (1.09 × 10-12

Published
2015

32. The effect of paternal age on offspring intelligence and personality when controlling for paternal trait level

Author

Arslan, Ruben C., Penke, Lars, Johnson, Wendy, Iacono, William G., and McGue, Matt

Subjects
Quantitative Biology - Populations and Evolution
Abstract

Paternal age at conception has been found to predict the number of new genetic mutations. We examined the effect of father's age at birth on offspring intelligence, head circumference and personality traits. Using the Minnesota Twin Family Study sample we tested paternal age effects while controlling for parents' trait levels measured with the same precision as offspring's. From evolutionary genetic considerations we predicted a negative effect of paternal age on offspring intelligence, but not on other traits. Controlling for parental IQ had the effect of turning a positive-zero order association negative. We found paternal age effects on offspring IQ and MPQ Absorption, but they were not robustly significant, nor replicable with additional covariates. No other noteworthy effects were found. Parents' intelligence and personality correlated with their ages at twin birth, which may have obscured a small negative effect of advanced paternal age (< 1% of variance explained) on intelligence. We discuss future avenues for studies of paternal age effects and suggest that stronger research designs are needed to rule out confounding factors involving birth order and the Flynn effect., Comment: 41 pages, 3 figures, 3 tables

Published
2013
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33. Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

Author

Hagler, Donald J., Jr., Hatton, SeanN., Cornejo, M. Daniela, Makowski, Carolina, Fair, Damien A., Dick, Anthony Steven, Sutherland, Matthew T., Casey, B.J., Barch, Deanna M., Harms, Michael P., Watts, Richard, Bjork, James M., Garavan, Hugh P., Hilmer, Laura, Pung, Christopher J., Sicat, Chelsea S., Kuperman, Joshua, Bartsch, Hauke, Xue, Feng, Heitzeg, Mary M., Laird, Angela R., Trinh, Thanh T., Gonzalez, Raul, Tapert, Susan F., Riedel, Michael C., Squeglia, Lindsay M., Hyde, Luke W., Rosenberg, Monica D., Earl, Eric A., Howlett, Katia D., Baker, Fiona C., Soules, Mary, Diaz, Jazmin, de Leon, Octavio Ruiz, Thompson, Wesley K., Neale, Michael C., Herting, Megan, Sowell, Elizabeth R., Alvarez, Ruben P., Hawes, Samuel W., Sanchez, Mariana, Bodurka, Jerzy, Breslin, Florence J., Morris, Amanda Sheffield, Paulus, Martin P., Simmons, W. Kyle, Polimeni, Jonathan R., van der Kouwe, Andre, Nencka, Andrew S., Gray, Kevin M., Pierpaoli, Carlo, Matochik, John A., Noronha, Antonio, Aklin, Will M., Conway, Kevin, Glantz, Meyer, Hoffman, Elizabeth, Little, Roger, Lopez, Marsha, Pariyadath, Vani, Weiss, Susan RB., Wolff-Hughes, Dana L., DelCarmen-Wiggins, Rebecca, Feldstein Ewing, Sarah W., Miranda-Dominguez, Oscar, Nagel, Bonnie J., Perrone, Anders J., Sturgeon, Darrick T., Goldstone, Aimee, Pfefferbaum, Adolf, Pohl, Kilian M., Prouty, Devin, Uban, Kristina, Bookheimer, Susan Y., Dapretto, Mirella, Galvan, Adriana, Bagot, Kara, Giedd, Jay, Infante, M. Alejandra, Jacobus, Joanna, Patrick, Kevin, Shilling, Paul D., Desikan, Rahul, Li, Yi, Sugrue, Leo, Banich, Marie T., Friedman, Naomi, Hewitt, John K., Hopfer, Christian, Sakai, Joseph, Tanabe, Jody, Cottler, Linda B., Nixon, Sara Jo, Chang, Linda, Cloak, Christine, Ernst, Thomas, Reeves, Gloria, Kennedy, David N., Heeringa, Steve, Peltier, Scott, Schulenberg, John, Sripada, Chandra, Zucker, Robert A., Iacono, William G., Luciana, Monica, Calabro, Finnegan J., Clark, Duncan B., Lewis, David A., Luna, Beatriz, Schirda, Claudiu, Brima, Tufikameni, Foxe, John J., Freedman, Edward G., Mruzek, Daniel W., Mason, Michael J., Huber, Rebekah, McGlade, Erin, Prescot, Andrew, Renshaw, Perry F., Yurgelun-Todd, Deborah A., Allgaier, Nicholas A., Dumas, Julie A., Ivanova, Masha, Potter, Alexandra, Florsheim, Paul, Larson, Christine, Lisdahl, Krista, Charness, Michael E., Fuemmeler, Bernard, Hettema, John M., Maes, Hermine H., Steinberg, Joel, Anokhin, Andrey P., Glaser, Paul, Heath, Andrew C., Madden, Pamela A., Baskin-Sommers, Arielle, Constable, R. Todd, Grant, Steven J., Dowling, Gayathri J., Brown, Sandra A., Jernigan, Terry L., and Dale, Anders M.

Published
2019
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36. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use

Author

Surendran, Praveen, Young, Robin, Barnes, Daniel R., Nielsen, Sune Fallgaard, Rasheed, Asif, Samuel, Maria, Zhao, Wei, Kontto, Jukka, Perola, Markus, Caslake, Muriel, de Craen, Anton J.M., Trompet, Stella, Uria-Nickelsen, Maria, Malarstig, Anders, Reily, Dermot F., Hoek, Maarten, Vogt, Thomas, Jukema, J. Wouter, Sattar, Naveed, Ford, Ian, Packard, Chris J., Alam, Dewan S., Majumder, Abdulla al Shafi, Di Angelantonio, Emanuele, Chowdhury, Rajiv, Amouyel, Philippe, Arveiler, Dominique, Blankenberg, Stefan, Ferrières, Jean, Kee, Frank, Kuulasmaa, Kari, Müller-Nurasyid, Martina, Veronesi, Giovanni, Virtamo, Jarmo, EPIC-CVD Consortium, Frossard, Philippe, Nordestgaard, Børge Grønne, Saleheen, Danish, Danesh, John, Butterworth, Adam S., Howson, Joanna M.M., Erzurumluoglu, A. Mesut, Jackson, Victoria E., Melbourne, Carl A., Varga, Tibor V., Warren, Helen R., Tragante, Vinicius, Tachmazidou, Ioanna, Harris, Sarah E., Evangelou, Evangelos, Marten, Jonathan, Zhang, Weihua, Altmaier, Elisabeth, Luan, Jian’an, Langenberg, Claudia, Scott, Robert A., Yaghootkar, Hanieh, Stirrups, Kathleen, Kanoni, Stavroula, Marouli, Eirini, Karpe, Fredrik, Dominiczak, Anna F., Sever, Peter, Poulter, Neil, Rolandsson, Olov, Baumbach, Clemens, Afaq, Saima, Chambers, John C., Kooner, Jaspal S., Wareham, Nicholas J., Renström, Frida, Hallmans, Göran, Marioni, Riccardo E., Corley, Janie, Starr, John M., Verweij, Niek, de Boer, Rudolf A., van der Meer, Peter, Yavas, Ersin, Vaartjes, Ilonca, Bots, Michiel L., Asselbergs, Folkert W., Grabe, Hans J., Völzke, Henry, Nauck, Matthias, Weiss, Stefan, Pharoah, Paul D.P., Dunning, Alison M., Dennis, Joe G., Thompson, Deborah J., Michailidou, Kyriaki, Easton, Douglas F., Antoniou, Antonis C., Tyrrell, Jessica, Mihailov, Evelin, Samani, Nilesh J., Zhou, Kaixin, Neville, Matthew J., Metspalu, Andres, Palmer, Colin N.A., Hall, Ian P., Strachan, David P., Deary, Ian J., Frayling, Tim M., Hayward, Caroline, van der Harst, Pim, Zeggini, Eleftheria, Understanding Society Scientific Group, Munroe, Patricia B., Jansson, Jan-Håkan, Franks, Paul W., Deloukas, Panos, Caulfield, Mark J., Wain, Louise V., Tobin, Martin D., Brazel, David M., Jiang, Yu, Hughey, Jordan M., Turcot, Valérie, Zhan, Xiaowei, Gong, Jian, Batini, Chiara, Weissenkampen, J. Dylan, Liu, MengZhen, Bertelsen, Sarah, Chou, Yi-Ling, Faul, Jessica D., Haessler, Jeff, Hammerschlag, Anke R., Hsu, Chris, Kapoor, Manav, Lai, Dongbing, Le, Nhung, de Leeuw, Christiaan A., Loukola, Anu, Mangino, Massimo, Pistis, Giorgio, Qaiser, Beenish, Rohde, Rebecca, Shao, Yaming, Stringham, Heather, Wetherill, Leah, Agrawal, Arpana, Bierut, Laura, Chen, Chu, Eaton, Charles B., Goate, Alison, Haiman, Christopher, Heath, Andrew, Iacono, William G., Martin, Nicholas G., Polderman, Tinca J., Reiner, Alex, Rice, John, Schlessinger, David, Scholte, H. Steven, Smith, Jennifer A., Tardif, Jean-Claude, Tindle, Hilary A., van der Leij, Andries R., Boehnke, Michael, Chang-Claude, Jenny, Cucca, Francesco, David, Sean P., Foroud, Tatiana, Kardia, Sharon L.R., Kooperberg, Charles, Laakso, Markku, Lettre, Guillaume, Madden, Pamela, McGue, Matt, North, Kari, Posthuma, Danielle, Spector, Timothy, Stram, Daniel, Weir, David R., Kaprio, Jaakko, Abecasis, Gonçalo R., Liu, Dajiang J., and Vrieze, Scott

Published
2019
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45. A Genetic Epidemiological Mega Analysis of Smoking Initiation in Adolescents

Author

Maes, Hermine H., Prom-Wormley, Elizabeth, Eaves, Lindon J., Rhee, Soo Hyun, Hewitt, John K., Young, Susan, Corley, Robin, McGue, Matt, Iacono, William G., Legrand, Lisa, Samek, Diana R., Murrelle, E. Lenn, Silberg, Judy L., Miles, Donna R., Schieken, Richard M., Beunen, Gaston P., Thomis, Martine, Rose, Richard J., Dick, Danielle M., Boomsma, Dorret I., Bartels, Meike, Vink, Jacqueline M., Lichtenstein, Paul, White, Victoria, Kaprio, Jaakko, and Neale, Michael C.

Published
2017

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