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2. Erratum: GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium

Author

Trampush, JW, Yang, MLZ, Yu, J, Knowles, E, Davies, G, Liewald, DC, Starr, JM, Djurovic, S, Melle, I, Sundet, K, Christoforou, A, Reinvang, I, DeRosse, P, Lundervold, AJ, Steen, VM, Espeseth, T, Räikkönen, K, Widen, E, Palotie, A, Eriksson, JG, Giegling, I, Konte, B, Roussos, P, Giakoumaki, S, Burdick, KE, Payton, A, Ollier, W, Horan, M, Chiba-Falek, O, Attix, DK, Need, AC, Cirulli, ET, Voineskos, AN, Stefanis, NC, Avramopoulos, D, Hatzimanolis, A, Arking, DE, Smyrnis, N, Bilder, RM, Freimer, NA, Cannon, TD, London, E, Poldrack, RA, Sabb, FW, Congdon, E, Conley, ED, Scult, MA, Dickinson, D, Straub, RE, Donohoe, G, Morris, D, Corvin, A, Gill, M, Hariri, AR, Weinberger, DR, Pendleton, N, Bitsios, P, Rujescu, D, Lahti, J, Le Hellard, S, Keller, MC, Andreassen, OA, Deary, IJ, Glahn, DC, Malhotra, AK, and Lencz, T

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Genetics, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

This corrects the article DOI: 10.1038/mp.2016.244.

Published
2017

3. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium.

Author

Trampush, JW, Yang, MLZ, Yu, J, Knowles, E, Davies, G, Liewald, DC, Starr, JM, Djurovic, S, Melle, I, Sundet, K, Christoforou, A, Reinvang, I, DeRosse, P, Lundervold, AJ, Steen, VM, Espeseth, T, Räikkönen, K, Widen, E, Palotie, A, Eriksson, JG, Giegling, I, Konte, B, Roussos, P, Giakoumaki, S, Burdick, KE, Payton, A, Ollier, W, Horan, M, Chiba-Falek, O, Attix, DK, Need, AC, Cirulli, ET, Voineskos, AN, Stefanis, NC, Avramopoulos, D, Hatzimanolis, A, Arking, DE, Smyrnis, N, Bilder, RM, Freimer, NA, Cannon, TD, London, E, Poldrack, RA, Sabb, FW, Congdon, E, Conley, ED, Scult, MA, Dickinson, D, Straub, RE, Donohoe, G, Morris, D, Corvin, A, Gill, M, Hariri, AR, Weinberger, DR, Pendleton, N, Bitsios, P, Rujescu, D, Lahti, J, Le Hellard, S, Keller, MC, Andreassen, OA, Deary, IJ, Glahn, DC, Malhotra, AK, and Lencz, T

Subjects
Psychiatry, Medical and Health Sciences, Biological Sciences, Psychology and Cognitive Sciences
Abstract

This corrects the article DOI: 10.1038/mp.2016.244.

Published
2017

8. Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices

Author

Natarajan, P. (Pradeep), Pampana, A. (Akhil), Graham, S. E. (Sarah E.), Ruotsalainen, S. E. (Sanni E.), Perry, J. A. (James A.), de Vries, P. S. (Paul S.), Broome, J. G. (Jai G.), Pirruccello, J. P. (James P.), Honigbere, M. C. (Michael C.), Aragam, K. (Krishna), Wolford, B. (Brooke), Brody, J. A. (Jennifer A.), Antonacci-Fulton, L. (Lucinda), Arden, M. (Moscati), Aslibekyan, S. (Stella), Assimes, T. L. (Themistocles L.), Ballantyne, C. M. (Christie M.), Bielak, L. F. (Lawrence F.), Bisl, J. C. (Joshua C.), Cade, B. E. (Brian E.), Do, R. (Ron), Doddapaneni, H. (Harsha), Emery, L. S. (Leslie S.), Hung, Y.-J. (Yi-Jen), Irvin, M. R. (Marguerite R.), Khan, A. T. (Alyna T.), Lange, L. (Leslie), Lee, J. (Jiwon), Lemaitre, R. N. (Rozenn N.), Martin, L. W. (Lisa W.), Metcalf, G. (Ginger), Montasser, M. E. (May E.), Moon, J.-Y. (Jee-Young), Muzny, D. (Donna), Connell, J. R. (Jeffrey R. O.), Palmer, N. D. (Nicholette D.), Peralta, J. M. (Juan M.), Peyser, P. A. (Patricia A.), Stilp, A. M. (Adrienne M.), Tsai, M. (Michael), Wang, F. F. (Fei Fei), Weeks, D. E. (Daniel E.), Yanek, L. R. (Lisa R.), Wilson, J. G. (James G.), Abecasis, G. (Goncalo), Arnett, D. K. (Donna K.), Becker, L. C. (Lewis C.), Blangercy, J. (John), Boerwinkle, E. (Eric), Bowden, D. W. (Donald W.), Chang, Y.-C. (Yi-Cheng), Chen, Y. I. (Yii-Der, I), Choi, W. J. (Won Jung), Correa, A. (Adolfo), Curran, J. E. (Joanne E.), Daly, M. J. (Mark J.), DutcherE, S. K. (Susan K.), Ellinor, P. T. (Patrick T.), Fornage, M. (Myriam), Freedman, B. I. (Barry, I), Gabriel, S. (Stacey), Germer, S. (Soren), Gibbs, R. A. (Richard A.), He, J. (Jiang), Hveem, K. (Kristian), Jarvik, G. P. (Gail P.), Kaplan, R. C. (Robert C.), Kardia, S. L. (Sharon L. R.), Kennyn, E. (Eimear), Kim, R. W. (Ryan W.), Kooperberg, C. (Charles), Laurie, C. C. (Cathy C.), Lee, S. (Seonwook), Lloyd-Jones, D. M. (Don M.), Loos, R. J. (Ruth J. F.), Lubitz, S. A. (Steven A.), Mathias, R. A. (Rasika A.), Martinez, K. A. (Karine A. Viaud), McGarvey, S. T. (Stephen T.), Mitche, B. D. (Braxton D.), Nickerson, D. A. (Deborah A.), North, K. E. (Kari E.), Palotie, A. (Aarno), Park, C. J. (Cheol Joo), Psat, B. M. (Bruce M. Y.), Rao, D. C. (D. C.), Redline, S. (Susan), Reiner, A. P. (Alexander P.), Seo, D. (Daekwan), Seo, J.-S. (Jeong-Sun), Smith, A. V. (Albert, V), Tracy, R. P. (Russell P.), Kathiresan, S. (Sekar), Cupples, L. A. (L. Adrienne), Rotten, J. I. (Jerome, I), Morrison, A. C. (Alanna C.), Rich, S. S. (Stephen S.), Ripatti, S. (Samuli), Wilier, C. (Cristen), Peloso, G. M. (Gina M.), Vasan, R. S. (Ramachandran S.), Abe, N. (Namiko), Albert, C. (Christine), Almasy, L. (Laura), Alonso, A. (Alvaro), Ament, S. (Seth), Anderson, P. (Peter), Applebaum-Bowden, D. (Deborah), Arking, D. (Dan), Ashley-Koch, A. (Allison), Auer, P. (Paul), Avramopoulos, D. (Dimitrios), Barnard, J. (John), Barnes, K. (Kathleen), Barr, R. G. (R. Graham), Barron-Casella, E. (Emily), Beaty, T. (Terri), Becker, D. (Diane), Beer, R. (Rebecca), Begum, F. (Ferdouse), Beitelshees, A. (Amber), Benjamin, E. (Emelia), Bezerra, M. (Marcos), Bielak, L. (Larry), Blackwel, T. (Thomas), Bowler, R. (Russell), Broecke, U. (Ulrich), Bunting, K. (Karen), Burchard, E. (Esteban), Buth, E. (Erin), Cardwel, J. (Jonathan), Carty, C. (Cara), Casaburi, R. (Richard), Casella, J. (James), Chaffin, M. (Mark), Chang, C. (Christy), Chasman, D. (Daniel), Chavan, S. (Sameer), Chen, B.-J. (Bo-Juen), Chen, W.-M. (Wei-Min), Chol, M. (Michael), Choi, S. H. (Seung Hoan), Chuang, L.-M. (Lee-Ming), Chung, M. (Mina), Conomos, M. P. (Matthew P.), Cornell, E. (Elaine), Crapo, J. (James), Curtis, J. (Jeffrey), Custer, B. (Brian), Damcott, C. (Coleen), Darbar, D. (Dawood), Das, S. (Sayantan), David, S. (Sean), Davis, C. (Colleen), Daya, M. (Michelle), de Andrade, M. (Mariza), DeBaunuo, M. (Michael), Duan, Q. (Qing), Devine, R. D. (Ranjan Deka Dawn DeMeo Scott), Duggirala, Q. R. (Qing Ravi), Durda, J. P. (Jon Peter), Dutcher, S. (Susan), Eaton, C. (Charles), Ekunwe, L. (Lynette), Farber, C. (Charles), Farnaml, L. (Leanna), Fingerlin, T. (Tasha), Flickinger, M. (Matthew), Franceschini, N. (Nora), Fu, M. (Mao), Fullerton, S. M. (Stephanie M.), Fulton, L. (Lucinda), Gan, W. (Weiniu), Gao, Y. (Yan), Gass, M. (Margery), Ge, B. (Bruce), Geng, X. P. (Xiaoqi Priscilla), Gignoux, C. (Chris), Gladwin, M. (Mark), Glahn, D. (David), Gogarten, S. (Stephanie), Gong, D.-W. (Da-Wei), Goring, H. (Harald), Gu, C. C. (C. Charles), Guan, Y. (Yue), Guo, X. (Xiuqing), Haessler, J. (Jeff), Hall, M. (Michael), Harris, D. (Daniel), Hawle, N. Y. (Nicola Y.), Heavner, B. (Ben), Heckbert, S. (Susan), Hernandez, R. (Ryan), Herrington, D. (David), Hersh, C. (Craig), Hidalgo, B. (Bertha), Hixson, J. (James), Hokanson, J. (John), Hong, E. (Elliott), Hoth, K. (Karin), Hsiung, C. A. (Chao Agnes), Huston, H. (Haley), Hwu, C. M. (Chii Min), Jackson, R. (Rebecca), Jain, D. (Deepti), Jaquish, C. (Cashell), Jhun, M. A. (Min A.), Johnsen, J. (Jill), Johnson, A. (Andrew), Johnson, C. (Craig), Johnston, R. (Rich), Jones, K. (Kimberly), Kang, H. M. (Hyun Min), Kaufman, L. (Laura), Kell, S. Y. (Shannon Y.), Kessler, M. (Michael), Kinney, G. (Greg), Konkle, B. (Barbara), Kramer, H. (Holly), Krauter, S. (Stephanie), Lange, C. (Christoph), Lange, E. (Ethan), Laurie, C. (Cecelia), LeBoff, M. (Meryl), Lee, S. S. (Seunggeun Shawn), Lee, W.-J. (Wen-Jane), LeFaive, J. (Jonathon), Levine, D. (David), Levy, D. (Dan), Lewis, J. (Joshua), Li, Y. (Yun), Lin, H. (Honghuang), Lin, K. H. (Keng Han), Lin, X. (Xihong), Liu, S. (Simin), Liu, Y. (Yongmei), Lunetta, K. (Kathryn), Luo, J. (James), Mahaney, M. (Michael), Make, B. (Barry), Manichaikul, A. (Ani), Mansonl, J. (JoAnn), Margolin, L. (Lauren), Mathai, S. (Susan), McArdle, P. (Patrick), Mcdonald, M.-L. (Merry-Lynn), McFarland, S. (Sean), McHugh, C. (Caitlin), Mei, H. (Hao), Meyers, D. A. (Deborah A.), Mikulla, J. (Julie), Min, N. (Nancy), Minear, M. (Mollie), Minster, R. L. (Ryan L.), Musani, S. (Solomon), Mwasongwe, S. (Stanford), Mychaleckyj, J. C. (Josyf C.), Nadkarni, G. (Girish), Naik, R. (Rakhi), Naseri, T. (Take), Nekhai, S. (Sergei), Nelson, S. C. (Sarah C.), Nickerson, D. (Deborah), Connell, J. O. (Jeff O.), Connor, T. O. (Tim O.), Ochs-Balcom, H. (Heather), Pankow, J. (James), Papanicolaou, G. (George), Parkerl, M. (Margaret), Parsa, A. (Afshin), Penchey, S. (Sara), Perez, M. (Marco), Peters, U. (Ulrike), Phillips, L. S. (Lawrence S.), Phillips, S. (Sam), Pollin, T. (Toni), Post, W. (Wendy), Becker, J. P. (Julia Powers), Boorgula, M. P. (Meher Preethi), Preuss, M. (Michael), Prokopenko, D. (Dmitry), Qasba, P. (Pankaj), Qiao, D. (Dandi), Rafaels, N. (Nicholas), Raffield, L. (Laura), Rasmussen-Torvik, L. (Laura), Ratan, A. (Aakrosh), Reed, R. (Robert), Reganl, E. (Elizabeth), Reupena, M. S. (Muagututi Sefuiva), Rice, K. (Ken), Roden, D. (Dan), Roselli, C. (Carolina), Ruczinski, I. (Ingo), Russel, P. (Pamela), Ruuska, S. (Sarah), Ryan, K. (Kathleen), Sabino, E. C. (Ester Cerdeira), Sakornsakolpatl, P. (Phuwanat), Salzberg, S. (Steven), Sandow, K. (Kevin), Sankaran, V. G. (Vijay G.), Scheller, C. (Christopher), Schmidt, E. (Ellen), Schwander, K. (Karen), Schwartz, D. (David), Sciurba, F. (Frank), Seidman, C. (Christine), Seidman, J. (Jonathan), Sheehan, V. (Vivien), Shetty, A. (Amol), Shetty, A. (Aniket), Sheu, W. H. (Wayne Hui-Heng), Shoemaker, M. B. (M. Benjamin), Silver, B. (Brian), Silvermanl, E. (Edwin), Smith, J. (Jennifer), Smith, J. (Josh), Smith, N. (Nicholas), Smith, T. (Tanja), Smoller, S. (Sylvia), Snively, B. (Beverly), Soferlm, T. (Tamar), Streeten, E. (Elizabeth), Su, J. L. (Jessica Lasky), Sung, Y. J. (Yun Ju), Sylvia, J. (Jody), Sztalryd, C. (Carole), Taliun, D. (Daniel), Tang, H. (Hua), Taub, M. (Margaret), Taylor, K. D. (Kent D.), Taylor, S. (Simeon), Telen, M. (Marilyn), Thornton, T. A. (Timothy A.), Tinker, L. (Lesley), Tirschwel, D. (David), Tiwari, H. (Hemant), Vaidya, D. (Dhananjay), VandeHaar, P. (Peter), Vrieze, S. (Scott), Walker, T. (Tarik), Wallace, R. (Robert), Waits, A. (Avram), Wan, E. (Emily), Wang, H. (Heming), Watson, K. (Karol), Weir, B. (Bruce), Weiss, S. (Scott), Weng, L.-C. (Lu-Chen), Williams, K. (Kayleen), Williams, L. K. (L. Keoki), Wilson, C. (Carla), Wong, Q. (Quenna), Xu, H. (Huichun), Yang, I. (Ivana), Yang, R. (Rongze), Zaghlou, N. (Norann), Zekavat, M. (Maryam), Zhang, Y. (Yingze), Zhao, S. X. (Snow Xueyan), Zhao, W. (Wei), Zni, D. (Degui), Zhou, X. (Xiang), Zhu, X. (Xiaofeng), Zody, M. (Michael), Zoellner, S. (Sebastian), Daly, M. (Mark), Jacob, H. (Howard), Matakidou, A. (Athena), Runz, H. (Heiko), John, S. (Sally), Plenge, R. (Robert), McCarthy, M. (Mark), Hunkapiller, J. (Julie), Ehm, M. (Meg), Waterworth, D. (Dawn), Fox, C. (Caroline), Malarstig, A. (Anders), Klinger, K. (Kathy), Call, K. (Kathy), Mkel, T. (Tomi), Kaprio, J. (Jaakko), Virolainen, P. (Petri), Pulkki, K. (Kari), Kilpi, T. (Terhi), Perola, M. (Markus), Partanen, J. (Jukka), Pitkranta, A. (Anne), Kaarteenaho, R. (Riitta), Vainio, S. (Seppo), Savinainen, K. (Kimmo), Kosma, V.-M. (Veli-Matti), Kujala, U. (Urho), Tuovila, O. (Outi), Hendolin, M. (Minna), Pakkanen, R. (Raimo), Waring, J. (Jeff), Riley-Gillis, B. (Bridget), Liu, J. (Jimmy), Biswas, S. (Shameek), Diogo, D. (Dorothee), Marshall, C. (Catherine), Hu, X. (Xinli), Gossel, M. (Matthias), Schleutker, J. (Johanna), Arvas, M. (Mikko), Hinttala, R. (Reetta), Kettunen, J. (Johannes), Laaksonen, R. (Reijo), Mannermaa, A. (Arto), Paloneva, J. (Juha), Soininen, H. (Hilkka), Julkunen, V. (Valtteri), Remes, A. (Anne), Klviinen, R. (Reetta), Hiltunen, M. (Mikko), Peltola, J. (Jukka), Tienari, P. (Pentti), Rinne, J. (Juha), Ziemann, A. (Adam), Waring, J. (Jeffrey), Esmaeeli, S. (Sahar), Smaoui, N. (Nizar), Lehtonen, A. (Anne), Eaton, S. (Susan), Landenper, S. (Sanni), Michon, J. (John), Kerchner, G. (Geoff), Bowers, N. (Natalie), Teng, E. (Edmond), Eicher, J. (John), Mehta, V. (Vinay), Gormle, P. Y. (Padhraig Y.), Linden, K. (Kari), Whelan, C. (Christopher), Xu, F. (Fanli), Pulford, D. (David), Frkkil, M. (Martti), Pikkarainen, S. (Sampsa), Jussila, A. (Airi), Blomster, T. (Timo), Kiviniemi, M. (Mikko), Voutilainen, M. (Markku), Georgantas, B. (Bob), Heap, G. (Graham), Rahimov, F. (Fedik), Usiskin, K. (Keith), Maranville, J. (Joseph), Lu, T. (Tim), Oh, D. (Danny), Kalpala, K. (Kirsi), Miller, M. (Melissa), McCarthy, L. (Linda), Eklund, K. (Kari), Palomki, A. (Antti), Isomki, P. (Pia), Piri, L. (Laura), Kaipiainen-Seppnen, O. (Oili), Lertratanaku, A. (Apinya), Bing, D. C. (David Close Marla Hochfeld Nan), Gordillo, J. E. (Jorge Esparza), Mars, N. (Nina), Laitinen, T. (Tarja), Pelkonen, M. (Margit), Kauppi, P. (Paula), Kankaanranta, H. (Hannu), Harju, T. (Terttu), Greenberg, S. (Steven), Chen, H. (Hubert), Betts, J. (Jo), Ghosh, S. (Soumitra), Salomaa, V. (Veikko), Niiranen, T. (Teemu), Juonala, M. (Markus), Metsrinne, K. (Kaj), Khnen, M. (Mika), Junttila, J. (Juhani), Laakso, M. (Markku), Pihlajamki, J. (Jussi), Sinisalo, J. (Juha), Taskinen, M.-R. (Marja-Riitta), Tuomi, T. (Tiinamaija), Laukkanen, J. (Jari), Challis, B. (Ben), Peterson, A. (Andrew), Chu, A. (Audrey), Parkkinen, J. (Jaakko), Muslin, A. (Anthony), Joensuu, H. (Heikki), Meretoja, T. (Tuomo), Aaltonen, L. (Lauri), Auranen, A. (Annika), Karihtala, P. (Peeter), Kauppila, S. (Saila), Auvinen, P. (Pivi), Elenius, K. (Klaus), Popovic, R. (Relja), Schutzman, J. (Jennifer), Loboda, A. (Andrey), Chhibber, A. (Aparna), Lehtonen, H. (Heli), McDonough, S. (Stefan), Crohns, M. (Marika), Kulkarni, D. (Diptee), Kaarniranta, K. (Kai), Turunen, J. (Joni), Ollila, T. (Terhi), Seitsonen, S. (Sanna), Uusitalo, H. (Hannu), Aaltonen, V. (Vesa), Uusitalo-Jrvinen, H. (Hannele), Luodonp, M. (Marja), Hautala, N. (Nina), Strauss, E. (Erich), Chen, H. (Hao), Podgornaia, A. (Anna), Hoffman, J. (Joshua), Tasanen, K. (Kaisa), Huilaja, L. (Laura), Hannula-Jouppi, K. (Katariina), Salmi, T. (Teea), Peltonen, S. (Sirkku), Koulu, L. (Leena), Harvima, I. (Ilkka), Wu, Y. (Ying), Choy, D. (David), Jalanko, A. (Anu), Kajanne, R. (Risto), Lyhs, U. (Ulrike), Kaunisto, M. (Mari), Davis, J. W. (Justin Wade), Quarless, D. (Danjuma), Petrovski, S. (Slav), Chen, C.-Y. (Chia-Yen), Bronson, P. (Paola), Yang, R. (Robert), Chang, D. (Diana), Bhangale, T. (Tushar), Holzinger, E. (Emily), Wang, X. (Xulong), Chen, X. (Xing), Auro, K. (Kirsi), Wang, C. (Clarence), Xu, E. (Ethan), Auge, F. (Franck), Chatelain, C. (Clement), Kurki, M. (Mitja), Karjalainen, J. (Juha), Havulinna, A. (Aki), Palin, K. (Kimmo), Palta, P. (Priit), Parolo, P. D. (Pietro Della Briotta), Zhou, W. (Wei), Lemmel, S. (Susanna), Rivas, M. (Manuel), Harju, J. (Jarmo), Lehisto, A. (Arto), Ganna, A. (Andrea), Llorens, V. (Vincent), Karlsson, A. (Antti), Kristiansson, K. (Kati), Hyvrinen, K. (Kati), Ritari, J. (Jarmo), Wahlfors, T. (Tiina), Koskinen, M. (Miika), Pylkäs, K. (Katri), Kalaoja, M. (Marita), Karjalainen, M. (Minna), Mantere, T. (Tuomo), Kangasniemi, E. (Eeva), Heikkinen, S. (Sami), Laakkonen, E. (Eija), Kononen, J. (Juha), Loukola, A. (Anu), Laiho, P. (Pivi), Sistonen, T. (Tuuli), Kaiharju, E. (Essi), Laukkanen, M. (Markku), Jrvensivu, E. (Elina), Lhteenmki, S. (Sini), Mnnikk, L. (Lotta), Wong, R. (Regis), Mattsson, H. (Hannele), Hiekkalinna, T. (Tero), Jimnez, M. G. (Manuel Gonzlez), Donner, K. (Kati), Prn, K. (KaIle), Nunez-Fontarnau, J. (Javier), Kilpelinen, E. (Elina), Sipi, T. P. (Timo P.), Brein, G. (Georg), Dada, A. (Alexander), Awaisa, G. (Ghazal), Shcherban, A. (Anastasia), Sipil, T. (Tuomas), Laivuori, H. (Hannele), Kiiskinen, T. (Tuomo), Siirtola, H. (Harri), Tabuenca, J. G. (Javier Gracia), Kallio, L. (Lila), Soini, S. (Sirpa), Pitknen, K. (Kimmo), and Kuopio, T. (Teijo)

Subjects
Cardiovascular genetics, Genome-wide association studies
Abstract

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10−72), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10−4), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10−5). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

Published
2021

9. Identifying nootropic drug targets via large-scale cognitive GWAS and transcriptomics

Author

Lam, M. Chen, C.-Y. Ge, T. Xia, Y. Hill, D.W. Trampush, J.W. Yu, J. Knowles, E. Davies, G. Stahl, E.A. Huckins, L. Liewald, D.C. Djurovic, S. Melle, I. Christoforou, A. Reinvang, I. DeRosse, P. Lundervold, A.J. Steen, V.M. Espeseth, T. Räikkönen, K. Widen, E. Palotie, A. Eriksson, J.G. Giegling, I. Konte, B. Hartmann, A.M. Roussos, P. Giakoumaki, S. Burdick, K.E. Payton, A. Ollier, W. Chiba-Falek, O. Koltai, D.C. Need, A.C. Cirulli, E.T. Voineskos, A.N. Stefanis, N.C. Avramopoulos, D. Hatzimanolis, A. Smyrnis, N. Bilder, R.M. Freimer, N.B. Cannon, T.D. London, E. Poldrack, R.A. Sabb, F.W. Congdon, E. Conley, E.D. Scult, M.A. Dickinson, D. Straub, R.E. Donohoe, G. Morris, D. Corvin, A. Gill, M. Hariri, A.R. Weinberger, D.R. Pendleton, N. Bitsios, P. Rujescu, D. Lahti, J. Le Hellard, S. Keller, M.C. Andreassen, O.A. Deary, I.J. Glahn, D.C. Huang, H. Liu, C. Malhotra, A.K. Lencz, T.

Abstract

Broad-based cognitive deficits are an enduring and disabling symptom for many patients with severe mental illness, and these impairments are inadequately addressed by current medications. While novel drug targets for schizophrenia and depression have emerged from recent large-scale genome-wide association studies (GWAS) of these psychiatric disorders, GWAS of general cognitive ability can suggest potential targets for nootropic drug repurposing. Here, we (1) meta-analyze results from two recent cognitive GWAS to further enhance power for locus discovery; (2) employ several complementary transcriptomic methods to identify genes in these loci that are credibly associated with cognition; and (3) further annotate the resulting genes using multiple chemoinformatic databases to identify “druggable” targets. Using our meta-analytic data set (N = 373,617), we identified 241 independent cognition-associated loci (29 novel), and 76 genes were identified by 2 or more methods of gene identification. Actin and chromatin binding gene sets were identified as novel pathways that could be targeted via drug repurposing. Leveraging our transcriptomic and chemoinformatic databases, we identified 16 putative genes targeted by existing drugs potentially available for cognitive repurposing. © 2021, The Author(s).

Published
2021

10. Identifying nootropic drug targets via large-scale cognitive GWAS and transcriptomics

Author

Lam, M, Chen, CY, Ge, T, Xia, Y, Hill, DW, Trampush, JW, Yu, J, Knowles, E, Davies, G, Stahl, EA, Huckins, L, Liewald, DC, Djurovic, S, Melle, I, Christoforou, A, Reinvang, I, DeRosse, P, Lundervold, AJ, Steen, VM, Espeseth, T, Räikkönen, K, Widen, E, Palotie, A, Eriksson, JG, Giegling, I, Konte, B, Hartmann, AM, Roussos, P, Giakoumaki, S, Burdick, KE, Payton, A, Ollier, W, Chiba-Falek, O, Koltai, DC, Need, AC, Cirulli, ET, Voineskos, AN, Stefanis, NC, Avramopoulos, D, Hatzimanolis, A, Smyrnis, N, Bilder, RM, Freimer, NB, Cannon, TD, London, E, Poldrack, RA, Sabb, FW, Congdon, E, Conley, ED, Scult, MA, Dickinson, D, Straub, RE, Donohoe, G, Morris, D, Corvin, A, Gill, M, Hariri, AR, Weinberger, DR, Pendleton, N, Bitsios, P, Rujescu, D, Lahti, J, Le Hellard, S, Keller, MC, Andreassen, OA, Deary, IJ, Glahn, DC, Huang, H, Liu, C, Malhotra, AK, Lencz, T, Lam, M, Chen, CY, Ge, T, Xia, Y, Hill, DW, Trampush, JW, Yu, J, Knowles, E, Davies, G, Stahl, EA, Huckins, L, Liewald, DC, Djurovic, S, Melle, I, Christoforou, A, Reinvang, I, DeRosse, P, Lundervold, AJ, Steen, VM, Espeseth, T, Räikkönen, K, Widen, E, Palotie, A, Eriksson, JG, Giegling, I, Konte, B, Hartmann, AM, Roussos, P, Giakoumaki, S, Burdick, KE, Payton, A, Ollier, W, Chiba-Falek, O, Koltai, DC, Need, AC, Cirulli, ET, Voineskos, AN, Stefanis, NC, Avramopoulos, D, Hatzimanolis, A, Smyrnis, N, Bilder, RM, Freimer, NB, Cannon, TD, London, E, Poldrack, RA, Sabb, FW, Congdon, E, Conley, ED, Scult, MA, Dickinson, D, Straub, RE, Donohoe, G, Morris, D, Corvin, A, Gill, M, Hariri, AR, Weinberger, DR, Pendleton, N, Bitsios, P, Rujescu, D, Lahti, J, Le Hellard, S, Keller, MC, Andreassen, OA, Deary, IJ, Glahn, DC, Huang, H, Liu, C, Malhotra, AK, and Lencz, T

Abstract

Broad-based cognitive deficits are an enduring and disabling symptom for many patients with severe mental illness, and these impairments are inadequately addressed by current medications. While novel drug targets for schizophrenia and depression have emerged from recent large-scale genome-wide association studies (GWAS) of these psychiatric disorders, GWAS of general cognitive ability can suggest potential targets for nootropic drug repurposing. Here, we (1) meta-analyze results from two recent cognitive GWAS to further enhance power for locus discovery; (2) employ several complementary transcriptomic methods to identify genes in these loci that are credibly associated with cognition; and (3) further annotate the resulting genes using multiple chemoinformatic databases to identify “druggable” targets. Using our meta-analytic data set (N = 373,617), we identified 241 independent cognition-associated loci (29 novel), and 76 genes were identified by 2 or more methods of gene identification. Actin and chromatin binding gene sets were identified as novel pathways that could be targeted via drug repurposing. Leveraging our transcriptomic and chemoinformatic databases, we identified 16 putative genes targeted by existing drugs potentially available for cognitive repurposing.

Published
2021

22. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (vol 9, 2098, 2018)

Author

Davies, G., Lam, M., Harris, S.E., Trampush, J.W., Luciano, M., Hill, W.D., Hagenaars, S.P., Ritchie, S.J., Marioni, R.E., Fawns-Ritchie, C., Liewald, D.C.M., Okely, J.A., Ahola-Olli, A.V., Barnes, C.L.K., Bertram, L., Bis, J.C., Burdick, K.E., Christoforou, A., DeRosse, P., Djurovic, S., Espeseth, T., Giakoumaki, S., Giddaluru, S., Gustavson, D.E., Hayward, C., Hofer, E., Ikram, M.A., Karlsson, R., Knowles, E., Lahti, J., Leber, M., Li, S., Mather, K.A., Melle, I., Morris, D., Oldmeadow, C., Palviainen, T., Payton, A., Pazoki, R., Petrovic, K., Reynolds, C.A., Sargurupremraj, M., Scholz, M., Smith, J.A., Smith, A.V., Terzikhan, N., Thalamuthu, A., Trompet, S., Lee, S.J. van der, Ware, E.B., Windham, B.G., Wright, M.J., Yang, J.Y., Yu, J., Ames, D., Amin, N., Amouyel, P., Andreassen, O.A., Armstrong, N.J., Assareh, A.A., Attia, J.R., Attix, D., Avramopoulos, D., Bennett, D.A., Bohmer, A.C., Boyle, P.A., Brodaty, H., Campbell, H., Cannon, T.D., Cirulli, E.T., Congdon, E., Conley, E.D., Corley, J., Cox, S.R., Dale, A.M., Dehghan, A., Dick, D., Dickinson, D., Eriksson, J.G., Evangelou, E., Faul, J.D., Ford, I., Freimer, N.A., Gao, H., Giegling, I., Gillespie, N.A., Gordon, S.D., Gottesman, R.F., Griswold, M.E., Gudnason, V., Harris, T.B., Hartmann, A.M., Hatzimanolis, A., Heiss, G., Holliday, E.G., Joshi, P.K., Kahonen, M., Kardia, S.L.R., Karlsson, I., Kleineidam, L., Knopman, D.S., Kochan, N.A., Konte, B., Kwok, J.B., Hellard, S. le, Lee, T., Lehtimaki, T., Li, S.C., Lill, C.M., Liu, T., Koini, M., London, E., Longstreth, W.T., Lopez, O.L., Loukola, A., Luck, T., Lundervold, A.J., Lundquist, A., Lyytikainen, L.P., Martin, N.G., Montgomery, G.W., Murray, A.D., Need, A.C., Noordam, R., Nyberg, L., Ollier, W., Papenberg, G., Pattie, A., Polasek, O., Poldrack, R.A., Psaty, B.M., Reppermund, S., Riedel-Heller, S.G., Rose, R.J., Rotter, J.I., Roussos, P., Rovio, S.P., Saba, Y., Sabb, F.W., Sachdev, P.S., Satizabal, C.L., Schmid, M., Scott, R.J., Scult, M.A., Simino, J., Slagboom, P.E., Smyrnis, N., Soumare, A., Stefanis, N.C., Stott, D.J., Straub, R.E., Sundet, K., Taylor, A.M., Taylor, K.D., Tzoulaki, I., Tzourio, C., Uitterlinden, A., Vitart, V., Voineskos, A.N., Kaprio, J., Wagner, M., Wagner, H., Weinhold, L., Wen, K.H., Widen, E., Yang, Q., Zhao, W., Adams, H.H.H., Arking, D.E., Bilder, R.M., Bitsios, P., Boerwinkle, E., Chiba-Falek, O., Corvin, A., Jager, P.L. de, Debette, S., Donohoe, G., Elliott, P., Fitzpatrick, A.L., Gill, M., Glahn, D.C., Hagg, S., Hansell, N.K., Hariri, A.R., Ikram, M.K., Jukema, J.W., Vuoksimaa, E., Keller, M.C., Kremen, W.S., Launer, L., Lindenberger, U., Palotie, A., Pedersen, N.L., Pendleton, N., Porteous, D.J., Raikkonen, K., Raitakari, O.T., Ramirez, A., Reinvang, I., Rudan, I., Rujescu, D., Schmidt, R., Schmidt, H., Schofield, P.W., Schofield, P.R., Starr, J.M., Steen, V.M., Trollor, J.N., Turner, S.T., Duijn, C.M. van, Villringer, A., Weinberger, D.R., Weir, D.R., Wilson, J.F., Malhotra, A., McIntosh, A.M., Gale, C.R., Seshadri, S., Mosley, T.H., Bressler, J., Lencz, T., and Deary, I.J.

Published
2019

23. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author

Davies, G., Lam, M., Harris, S. E., TRAMPUSH, J. W., LUCIANO, M., HILL, W. D., HAGENAARS, S. P., RITCHIE, S. J., MARIONI, R. E., FAWNS-RITCHIE, C., LIEWALD, D. C. M., OKELY, J. A., AHOLA-OLLI, A. V., BARNES, C. L. K., Bertram, L., BIS, J. C., BURDICK, K. E., CHRISTOFOROU, A., DEROSSE, P., Djurovic, S., ESPESETH, T., GIAKOUMAKI, S., GIDDALURU, S., GUSTAVSON, D. E., Hayward, C., Hofer, E., KARLSSON, R., KNOWLES, E., Lahti, J., Leber, M., MATHER, K. A., Melle, I., Morris, D., OLDMEADOW, C., PALVIAINEN, T., PAYTON, A., PAZOKI, R., PETROVIC, K., Reynolds, C. A., SARGURUPREMRAJ, M., Scholz, M., Smith, J. A., SMITH, A. V., TERZIKHAN, N., THALAMUTHU, A., TROMPET, S., VAN DER LEE, S. J., WARE, E. B., WINDHAM, B. G., WRIGHT, M. J., Yang, J., Yu, J., Ames, D., Amin, N., Amouyel, P., ANDREASSEN, O. A., ARMSTRONG, N. J., ASSAREH, A. A., ATTIA, J. R., ATTIX, D., AVRAMOPOULOS, D., BENNETT, D. A., BOHMER, A. C., BOYLE, P. A., BRODATY, H., Campbell, H., CANNON, T. D., CIRULLI, E. T., CONGDON, E., CONLEY, E. D., CORLEY, J., COX, S. R., DALE, A. M., DEHGHAN, A., Dick, D., Dickinson, D., ERIKSSON, J. G., EVANGELOU, E., FAUL, J. D., Ford, I., FREIMER, N. A., Gao, H., Giegling, I., GILLESPIE, N. A., GORDON, S. D., GOTTESMAN, R. F., GRISWOLD, M. E., GUDNASON, V., HARRIS, T. B., HARTMANN, A. M., Hatzimanolis, A., Heiss, G., HOLLIDAY, E. G., Joshi, P. K., KAHONEN, M., KARDIA, S. L. R., KARLSSON, I., KLEINEIDAM, L., KNOPMAN, D. S., KOCHAN, N. A., Konte, B., KWOK, J. B., LE HELLARD, S., Lee, T., LEHTIMAKI, T., Li, S. C., Lill, C. M., Liu, T., KOINI, M., London, E., LONGSTRETH, W. T., Jr., LOPEZ, O. L., LOUKOLA, A., LUCK, T., LUNDERVOLD, A. J., LUNDQUIST, A., LYYTIKAINEN, L. P., Martin, N. G., MONTGOMERY, G. W., MURRAY, A. D., NEED, A. C., NOORDAM, R., Nyberg, L., OLLIER, W., PAPENBERG, G., PATTIE, A., POLASEK, O., POLDRACK, R. A., PSATY, B. M., REPPERMUND, S., RIEDEL-HELLER, S. G., ROSE, R. J., ROTTER, J. I., ROUSSOS, P., ROVIO, S. P., SABA, Y., SABB, F. W., SACHDEV, P. S., SATIZABAL, C. L., Schmid, M., Scott, R. J., SCULT, M. A., SIMINO, J., SLAGBOOM, P. E., SMYRNIS, N., Soumare, A., Stefanis, N. C., STOTT, D. J., STRAUB, R. E., SUNDET, K., Taylor, A. M., TAYLOR, K. D., TZOULAKI, I., Tzourio, C., Uitterlinden, A., Vitart, V., VOINESKOS, A. N., Kaprio, J., Wagner, M., Wagner, H., WEINHOLD, L., WEN, K. H., WIDEN, E., Yang, Q., Zhao, W., ADAMS, H. H. H., ARKING, D. E., Bilder, R. M., BITSIOS, P., BOERWINKLE, E., CHIBA-FALEK, O., Corvin, A., DE JAGER, P. L., Debette, S., Donohoe, G., Elliott, P., FITZPATRICK, A. L., Gill, M., GLAHN, D. C., HAGG, S., HANSELL, N. K., HARIRI, A. R., Ikram, M. A., JUKEMA, J. W., VUOKSIMAA, E., KELLER, M. C., KREMEN, W. S., LAUNER, L., LINDENBERGER, U., Palotie, A., PEDERSEN, N. L., PENDLETON, N., PORTEOUS, D. J., RAIKKONEN, K., RAITAKARI, O. T., Ramirez, A., REINVANG, I., RUDAN, I., DAN, Rujescu, Schmidt, R., Schmidt, H., SCHOFIELD, P. W., STARR, J. M., STEEN, V. M., TROLLOR, J. N., TURNER, S. T., VAN DUIJN, C. M., VILLRINGER, A., WEINBERGER, D. R., WEIR, D. R., WILSON, J. F., Malhotra, A., MCINTOSH, A. M., GALE, C. R., SESHADRI, S., MOSLEY, T. H., Jr., BRESSLER, J., Lencz, T., DEARY, I. J., Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
VINTAGE, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, HEALTHY, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract

Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.

Published
2019

24. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (Nature Communications, (2018), 9, 1, (2098), 10.1038/s41467-018-04362-x)

Author

Davies, G. Lam, M. Harris, S.E. Trampush, J.W. Luciano, M. Hill, W.D. Hagenaars, S.P. Ritchie, S.J. Marioni, R.E. Fawns-Ritchie, C. Liewald, D.C.M. Okely, J.A. Ahola-Olli, A.V. Barnes, C.L.K. Bertram, L. Bis, J.C. Burdick, K.E. Christoforou, A. DeRosse, P. Djurovic, S. Espeseth, T. Giakoumaki, S. Giddaluru, S. Gustavson, D.E. Hayward, C. Hofer, E. Ikram, M.A. Karlsson, R. Knowles, E. Lahti, J. Leber, M. Li, S. Mather, K.A. Melle, I. Morris, D. Oldmeadow, C. Palviainen, T. Payton, A. Pazoki, R. Petrovic, K. Reynolds, C.A. Sargurupremraj, M. Scholz, M. Smith, J.A. Smith, A.V. Terzikhan, N. Thalamuthu, A. Trompet, S. van der Lee, S.J. Ware, E.B. Windham, B.G. Wright, M.J. Yang, J. Yu, J. Ames, D. Amin, N. Amouyel, P. Andreassen, O.A. Armstrong, N.J. Assareh, A.A. Attia, J.R. Attix, D. Avramopoulos, D. Bennett, D.A. Böhmer, A.C. Boyle, P.A. Brodaty, H. Campbell, H. Cannon, T.D. Cirulli, E.T. Congdon, E. Conley, E.D. Corley, J. Cox, S.R. Dale, A.M. Dehghan, A. Dick, D. Dickinson, D. Eriksson, J.G. Evangelou, E. Faul, J.D. Ford, I. Freimer, N.A. Gao, H. Giegling, I. Gillespie, N.A. Gordon, S.D. Gottesman, R.F. Griswold, M.E. Gudnason, V. Harris, T.B. Hartmann, A.M. Hatzimanolis, A. Heiss, G. Holliday, E.G. Joshi, P.K. Kähönen, M. Kardia, S.L.R. Karlsson, I. Kleineidam, L. Knopman, D.S. Kochan, N.A. Konte, B. Kwok, J.B. Le Hellard, S. Lee, T. Lehtimäki, T. Li, S.-C. Lill, C.M. Liu, T. Koini, M. London, E. Longstreth, W.T., Jr. Lopez, O.L. Loukola, A. Luck, T. Lundervold, A.J. Lundquist, A. Lyytikäinen, L.-P. Martin, N.G. Montgomery, G.W. Murray, A.D. Need, A.C. Noordam, R. Nyberg, L. Ollier, W. Papenberg, G. Pattie, A. Polasek, O. Poldrack, R.A. Psaty, B.M. Reppermund, S. Riedel-Heller, S.G. Rose, R.J. Rotter, J.I. Roussos, P. Rovio, S.P. Saba, Y. Sabb, F.W. Sachdev, P.S. Satizabal, C.L. Schmid, M. Scott, R.J. Scult, M.A. Simino, J. Slagboom, P.E. Smyrnis, N. Soumaré, A. Stefanis, N.C. Stott, D.J. Straub, R.E. Sundet, K. Taylor, A.M. Taylor, K.D. Tzoulaki, I. Tzourio, C. Uitterlinden, A. Vitart, V. Voineskos, A.N. Kaprio, J. Wagner, M. Wagner, H. Weinhold, L. Wen, K.H. Widen, E. Yang, Q. Zhao, W. Adams, H.H.H. Arking, D.E. Bilder, R.M. Bitsios, P. Boerwinkle, E. Chiba-Falek, O. Corvin, A. De Jager, P.L. Debette, S. Donohoe, G. Elliott, P. Fitzpatrick, A.L. Gill, M. Glahn, D.C. Hägg, S. Hansell, N.K. Hariri, A.R. Ikram, M.K. Jukema, J.W. Vuoksimaa, E. Keller, M.C. Kremen, W.S. Launer, L. Lindenberger, U. Palotie, A. Pedersen, N.L. Pendleton, N. Porteous, D.J. Räikkönen, K. Raitakari, O.T. Ramirez, A. Reinvang, I. Rudan, I. Dan Rujescu Schmidt, R. Schmidt, H. Schofield, P.W. Schofield, P.R. Starr, J.M. Steen, V.M. Trollor, J.N. Turner, S.T. Van Duijn, C.M. Villringer, A. Weinberger, D.R. Weir, D.R. Wilson, J.F. Malhotra, A. McIntosh, A.M. Gale, C.R. Seshadri, S. Mosley, T.H., Jr. Bressler, J. Lencz, T. Deary, I.J.

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract

Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article. © 2019, The Author(s).

Published
2019

25. Screening Human Embryos for Polygenic Traits Has Limited Utility

Author

Karavani, E. Zuk, O. Zeevi, D. Barzilai, N. Stefanis, N.C. Hatzimanolis, A. Smyrnis, N. Avramopoulos, D. Kruglyak, L. Atzmon, G. Lam, M. Lencz, T. Carmi, S.

Subjects
animal structures, embryonic structures
Abstract

The increasing proportion of variance in human complex traits explained by polygenic scores, along with progress in preimplantation genetic diagnosis, suggests the possibility of screening embryos for traits such as height or cognitive ability. However, the expected outcomes of embryo screening are unclear, which undermines discussion of associated ethical concerns. Here, we use theory, simulations, and real data to evaluate the potential gain of embryo screening, defined as the difference in trait value between the top-scoring embryo and the average embryo. The gain increases very slowly with the number of embryos but more rapidly with the variance explained by the score. Given current technology, the average gain due to screening would be ≈2.5 cm for height and ≈2.5 IQ points for cognitive ability. These mean values are accompanied by wide prediction intervals, and indeed, in large nuclear families, the majority of children top-scoring for height are not the tallest. © 2019 Elsevier Inc. Recent progress in genetic testing of embryos has made it technically feasible to profile IVF embryos for polygenic traits such as height or IQ, but simulations, models, and empirical data show that the gain in trait value when selecting the top-scoring embryo is currently limited and uncertain. © 2019 Elsevier Inc.

Published
2019

26. Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways

Author

Lam, M. Hill, W.D. Trampush, J.W. Yu, J. Knowles, E. Davies, G. Stahl, E. Huckins, L. Liewald, D.C. Djurovic, S. Melle, I. Sundet, K. Christoforou, A. Reinvang, I. DeRosse, P. Lundervold, A.J. Steen, V.M. Espeseth, T. Räikkönen, K. Widen, E. Palotie, A. Eriksson, J.G. Giegling, I. Konte, B. Hartmann, A.M. Roussos, P. Giakoumaki, S. Burdick, K.E. Payton, A. Ollier, W. Chiba-Falek, O. Attix, D.K. Need, A.C. Cirulli, E.T. Voineskos, A.N. Stefanis, N.C. Avramopoulos, D. Hatzimanolis, A. Arking, D.E. Smyrnis, N. Bilder, R.M. Freimer, N.A. Cannon, T.D. London, E. Poldrack, R.A. Sabb, F.W. Congdon, E. Conley, E.D. Scult, M.A. Dickinson, D. Straub, R.E. Donohoe, G. Morris, D. Corvin, A. Gill, M. Hariri, A.R. Weinberger, D.R. Pendleton, N. Bitsios, P. Rujescu, D. Lahti, J. Le Hellard, S. Keller, M.C. Andreassen, O.A. Deary, I.J. Glahn, D.C. Malhotra, A.K. Lencz, T.

Subjects
mental disorders
Abstract

Susceptibility to schizophrenia is inversely correlated with general cognitive ability at both the phenotypic and the genetic level. Paradoxically, a modest but consistent positive genetic correlation has been reported between schizophrenia and educational attainment, despite the strong positive genetic correlation between cognitive ability and educational attainment. Here we leverage published genome-wide association studies (GWASs) in cognitive ability, education, and schizophrenia to parse biological mechanisms underlying these results. Association analysis based on subsets (ASSET), a pleiotropic meta-analytic technique, allowed jointly associated loci to be identified and characterized. Specifically, we identified subsets of variants associated in the expected (“concordant”) direction across all three phenotypes (i.e., greater risk for schizophrenia, lower cognitive ability, and lower educational attainment); these were contrasted with variants that demonstrated the counterintuitive (“discordant”) relationship between education and schizophrenia (i.e., greater risk for schizophrenia and higher educational attainment). ASSET analysis revealed 235 independent loci associated with cognitive ability, education, and/or schizophrenia at p < 5 × 10−8. Pleiotropic analysis successfully identified more than 100 loci that were not significant in the input GWASs. Many of these have been validated by larger, more recent single-phenotype GWASs. Leveraging the joint genetic correlations of cognitive ability, education, and schizophrenia, we were able to dissociate two distinct biological mechanisms—early neurodevelopmental pathways that characterize concordant allelic variation and adulthood synaptic pruning pathways—that were linked to the paradoxical positive genetic association between education and schizophrenia. Furthermore, genetic correlation analyses revealed that these mechanisms contribute not only to the etiopathogenesis of schizophrenia but also to the broader biological dimensions implicated in both general health outcomes and psychiatric illness. © 2019

Published
2019

27. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author

Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, Derosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A, Trompet, S, Van Der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Böhmer, AC, Boyle, PA, and Brodaty, H

Abstract

© 2018 The Author(s). General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

Published
2018

29. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (Nature Communications, (2018), 9, 1, (2098), 10.1038/s41467-018-04362-x)

Author

Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, DeRosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A, Trompet, S, van der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Böhmer, AC, Boyle, PA, Brodaty, H, Campbell, H, Cannon, TD, Cirulli, ET, Congdon, E, Conley, ED, Corley, J, Cox, SR, Dale, AM, Dehghan, A, Dick, D, Dickinson, D, Eriksson, JG, Evangelou, E, Faul, JD, Ford, I, Freimer, NA, Gao, H, Giegling, I, Gillespie, NA, Gordon, SD, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Hartmann, AM, Hatzimanolis, A, Heiss, G, Holliday, EG, Joshi, PK, Kähönen, M, Kardia, SLR, Karlsson, I, Kleineidam, L, Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, DeRosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A, Trompet, S, van der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Böhmer, AC, Boyle, PA, Brodaty, H, Campbell, H, Cannon, TD, Cirulli, ET, Congdon, E, Conley, ED, Corley, J, Cox, SR, Dale, AM, Dehghan, A, Dick, D, Dickinson, D, Eriksson, JG, Evangelou, E, Faul, JD, Ford, I, Freimer, NA, Gao, H, Giegling, I, Gillespie, NA, Gordon, SD, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Hartmann, AM, Hatzimanolis, A, Heiss, G, Holliday, EG, Joshi, PK, Kähönen, M, Kardia, SLR, Karlsson, I, and Kleineidam, L

Abstract

Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.

Published
2019

31. Stress-dependent association between polygenic risk for schizophrenia and schizotypal traits in young army recruits

Author

Hatzimanolis, A. Avramopoulos, D. Arking, D.E. Moes, A. Bhatnagar, P. Lencz, T. Malhotra, A.K. Giakoumaki, S.G. Roussos, P. Smyrnis, N. Bitsios, P. Stefanis, N.C.

Abstract

Schizotypal personality traits may increase proneness to psychosis and likely index familial vulnerability to schizophrenia (SZ), implying shared genetic determinants with SZ. Here, we sought to investigate the contribution of common genetic risk variation for SZ on self-reported schizotypy in 2 ethnically homogeneous cohorts of healthy young males during compulsory military service, enrolled in the Athens Study of Proneness and Incidence of Schizophrenia (ASPIS, N = 875) and the Learning on Genetics of Schizophrenia Spectrum study (LOGOS, N = 690). A follow-up psychometric assessment was performed in a subsample of the ASPIS (N = 121), 18 months later at military service completion. Polygenic risk scores (PRS) for SZ were derived based on genome-wide association meta-analysis results from the Psychiatric Genomics Consortium. In the ASPIS, higher PRSSZ significantly associated with lower levels of positive (ie, perceptual distortions), disorganization and paranoid facets of schizotypy, whereas no association with negative (ie, interpersonal) facets was noted. Importantly, longitudinal data analysis in the ASPIS subsample revealed that PRSSZ was inversely associated with positive schizotypy at military induction (stressed condition) but not at follow-up (nonstressed condition), providing evidence for environmental rather than SZ-implicated genetic influences. Moreover, consistent with prior reports, PRSSZ was positively correlated with trait anxiety in the LOGOS and additionally the recruits with higher PRSSZ and trait anxiety exhibited attenuated paranoid ideation. Together, these findings do not support an etiological link between increased polygenic liability for SZ and schizotypy, suggesting that psychosocial stress or trait anxiety may impact schizotypal phenotypic expressions among healthy young adults not genetically predisposed to SZ. © The Author(s) 2017. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved.

Published
2018

32. Multi-Trait analysis of gwas and biological insights into cognition: A response to hill (2018)

Author

Lam, M. Trampush, J.W. Yu, J. Knowles, E. Djurovic, S. Melle, I. Sundet, K. Christoforou, A. Reinvang, I. Derosse, P. Lundervold, A.J. Steen, V.M. Espeseth, T. Räikkönen, K. Widen, E. Palotie, A. Eriksson, J.G. Giegling, I. Konte, B. Roussos, P. Giakoumaki, S. Burdick, K.E. Payton, A. Ollier, W. Chiba-Falek, O. Attix, D.K. Need, A.C. Cirulli, E.T. Voineskos, A.N. Stefanis, N.C. Avramopoulos, D. Hatzimanolis, A. Arking, D.E. Smyrnis, N. Bilder, R.M. Freimer, N.A. Cannon, T.D. London, E. Poldrack, R.A. Sabb, F.W. Congdon, E. Conley, E.D. Scult, M.A. Dickinson, D. Straub, R.E. Donohoe, G. Morris, D. Corvin, A. Gill, M. Hariri, A.R. Weinberger, D.R. Pendleton, N. Bitsios, P. Rujescu, D. Lahti, J. Hellard, S.L. Keller, M.C. Andreassen, O.A. Glahn, D.C. Malhotra, A.K. Lencz, T.

Abstract

Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88) presented a critique of our recently published paper in Cell Reports entitled 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' (Lam et al., Cell Reports, Vol. 21, 2017, 2597-2613). Specifically, Hill offered several interrelated comments suggesting potential problems with our use of a new analytic method called Multi-Trait Analysis of GWAS (MTAG) (Turley et al., Nature Genetics, Vol. 50, 2018, 229-237). In this brief article, we respond to each of these concerns. Using empirical data, we conclude that our MTAG results do not suffer from 'inflation in the FDR [false discovery rate]', as suggested by Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88), and are not 'more relevant to the genetic contributions to education than they are to the genetic contributions to intelligence'. © The Author(s) 2018Â.

Published
2018

33. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Author

Savage, J.E. Jansen, P.R. Stringer, S. Watanabe, K. Bryois, J. De Leeuw, C.A. Nagel, M. Awasthi, S. Barr, P.B. Coleman, J.R.I. Grasby, K.L. Hammerschlag, A.R. Kaminski, J.A. Karlsson, R. Krapohl, E. Lam, M. Nygaard, M. Reynolds, C.A. Trampush, J.W. Young, H. Zabaneh, D. Hägg, S. Hansell, N.K. Karlsson, I.K. Linnarsson, S. Montgomery, G.W. Muñoz-Manchado, A.B. Quinlan, E.B. Schumann, G. Skene, N.G. Webb, B.T. White, T. Arking, D.E. Avramopoulos, D. Bilder, R.M. Bitsios, P. Burdick, K.E. Cannon, T.D. Chiba-Falek, O. Christoforou, A. Cirulli, E.T. Congdon, E. Corvin, A. Davies, G. Deary, I.J. Derosse, P. Dickinson, D. Djurovic, S. Donohoe, G. Conley, E.D. Eriksson, J.G. Espeseth, T. Freimer, N.A. Giakoumaki, S. Giegling, I. Gill, M. Glahn, D.C. Hariri, A.R. Hatzimanolis, A. Keller, M.C. Knowles, E. Koltai, D. Konte, B. Lahti, J. Le Hellard, S. Lencz, T. Liewald, D.C. London, E. Lundervold, A.J. Malhotra, A.K. Melle, I. Morris, D. Need, A.C. Ollier, W. Palotie, A. Payton, A. Pendleton, N. Poldrack, R.A. Räikkönen, K. Reinvang, I. Roussos, P. Rujescu, D. Sabb, F.W. Scult, M.A. Smeland, O.B. Smyrnis, N. Starr, J.M. Steen, V.M. Stefanis, N.C. Straub, R.E. Sundet, K. Tiemeier, H. Voineskos, A.N. Weinberger, D.R. Widen, E. Yu, J. Abecasis, G. Andreassen, O.A. Breen, G. Christiansen, L. Debrabant, B. Dick, D.M. Heinz, A. Hjerling-Leffler, J. Ikram, M.A. Kendler, K.S. Martin, N.G. Medland, S.E. Pedersen, N.L. Plomin, R. Polderman, T.J.C. Ripke, S. Van Der Sluis, S. Sullivan, P.F. Vrieze, S.I. Wright, M.J. Posthuma, D.

Abstract

Intelligence is highly heritable 1 and a major determinant of human health and well-being 2 . Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence 3-7 , but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders. © 2018 The Author(s).

Published
2018

34. Shared variance of oculomotor phenotypes in a large sample of healthy young men

Author

Valakos, D. Karantinos, T. Evdokimidis, I. Stefanis, N.C. Avramopoulos, D. Smyrnis, N.

Abstract

This study used canonical correlation analysis to investigate patterns of shared variance between parameters measured in seven different occulomotor function tasks, namely the visually guided saccade task, the antisaccade task, the closed-loop smooth-pursuit task, the open-loop smooth-pursuit task, and three active visual fixation tasks. These tasks were performed by 2130 young army recruits. Only a small percentage (1–10%) of shared variance existed between sets of parameters for all oculomotor function tasks measured. The most correlated tasks were the visually guided saccade and the antisaccade. The first common factor correlated with speed of performance between these tasks (latency), while the second and third correlated with accuracy of performance. Better performance in active visual fixation tasks correlated with better performance accuracy (lower error rate) and increased speed (lower latency) in the antisaccade and saccade tasks as well as better performance in the closed-loop smooth-pursuit task (increase in gain and decrease in the rate of unwanted saccades during pursuit). Better performance in the closed-loop smooth-pursuit task (increased gain and decreased number of unwanted saccades) also correlated with increased accuracy and increased speed of performing saccades and antisaccades. Finally, the open-loop fixation task had no correlation with all other oculomotor tasks except for a very weak negative correlation with the closed-loop pursuit task where better performance (increased gain) in one correlated with worse performance (decreased gain) in the other. The results of this analysis showed that a small percentage of variance is shared among different oculomotor function tasks. The structure of this shared variance could be used to derive common oculomotor function indices to study their relation to genetic and other sources of inter-subject variation. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

Published
2018

36. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author

Davies, G. (Gail), Lam, M. (Max), Harris, S.E. (Sarah), Trampush, J.W. (Joey W.), Luciano, M. (Michelle), Hill, W.D. (W. David), Hagenaars, S. (Saskia), Ritchie, S.J. (Stuart J.), Marioni, R.E. (Riccardo), Fawns-Ritchie, C., Liewald, D.C.M. (David C. M.), Okely, J.A. (Judith A.), Ahola-Olli, A.V. (Ari V.), Barnes, C.L.K. (Catriona L. K.), Bertram, L. (Lars), Bis, J.C. (Joshua), Burdick, K.E. (Katherine E.), Christoforou, A. (Andrea), Derosse, P. (Pamela), Djurovic, S. (Srdjan), Espeseth, T. (Thomas), Giakoumaki, S. (Stella), Giddaluru, S. (Sudheer), Gustavson, D.E. (Daniel E.), Hayward, C. (Caroline), Hofer, E. (Edith), Ikram, M.A. (Arfan), Karlsson, R. (Robert), Knowles, E. (Emma), Lahti, J. (Jari), Leber, I. (Isabelle), Li, S. (Shuo), Mather, R., Melle, I. (Ingrid), Morris, D. (Derek), Oldmeadow, C. (Christopher), Palviainen, T. (Teemu), Payton, A. (Antony), Pazoki, R. (Raha), Petrovic, K. (Katja), Reynolds, C.A. (C.), Sargurupremraj, M. (Muralidharan), Scholz, M. (Markus), Smith, J.A. (Jennifer A), Smith, A.V. (Albert), Terzikhan, N. (Natalie), Thalamuthu, A. (Anbupalam), Trompet, S. (Stella), Lee, S.J. (Sven) van der, Ware, E.B. (Erin B.), Windham, B.G. (Gwen), Wright, M.J. (Margaret J.), Yang, J. (Jingyun), Yu, J. (Jin), Ames, D.J. (David), Amin, N. (Najaf), Amouyel, P. (Philippe), Andreassen, O.A. (Ole), Armstrong, N.J. (Nicola J.), Assareh, A.A., Attia, J. (John), Attix, D. (Deborah), Avramopoulos, D. (Dimitrios), Bennett, D.A. (David), Böhmer, M.R. (Marcel), Boyle, P.A. (Patricia A.), Brodaty, H. (Henry), Campbell, H. (Harry), Cannon, T.D. (Tyrone D.), Cirulli, E.T. (Elizabeth T.), Congdon, E. (Eliza), Conley, E.D. (Emily Drabant), Corley, J. (Janie), Cox, S.R. (Simon R.), Dale, A.M. (Anders), Dehghan, A. (Abbas), Dick, D. (Danielle), Dickinson, D. (Dwight), Hagen, K. (Knut), Evangelou, E. (Evangelos), Faul, J.D. (Jessica D.), Ford, I. (Ian), Freimer, N.A. (Nelson A.), Gao, H. (He), Giegling, I. (Ina), Gillespie, N.A. (Nathan A.), Gordon, S.D. (Scott D.), Gottesman, R.F. (Rebecca), Griswold, M.D. (Michael), Gudnason, V. (Vilmundur), Harris, T.B. (Tamara), Hartmann, A.M. (Annette M), Hatzimanolis, A. (Alex), Heiss, G. (Gerardo), Holliday, E.G. (Elizabeth), Joshi, P.K. (Peter), Kähönen, M. (Mika), Kardia, S.L.R. (Sharon L. R.), Karlsson, I. (Ida), Kleineidam, L. (Luca), Knopman, D.S. (David), Kochan, N.A. (Nicole A.), Konte, B. (Bettina), Kwok, J.B.J. (John), Le Hellard, S. (Stephanie), Lee, T. (Teresa), Lehtimäki, T. (Terho), Li, S.-C. (Shu-Chen), Liu, T. (Tian), Koini, M. (Marisa), London, E. (Edythe), Longstreth Jr, W.T., Lopez, O.L. (Oscar), Loukola, A. (Anu), Luck, T. (Tobias), Lundervold, A.J. (Astri), Lundquist, A. (Anders), Lyytikäinen, L.-P. (Leo-Pekka), Martin, N.G. (Nicholas), Montgomery, G.W. (Grant W.), Murray, A.D. (Alison D.), Need, A.C. (Anna C.), Noordam, R. (Raymond), Nyberg, L. (Lisa), Ollier, W.E.R. (William), Papenberg, G., Pattie, A. (Alison), Polasek, O. (Ozren), Poldrack, R.A. (Russell A.), Psaty, B.M. (Bruce M.), Reppermund, S., Riedel-Heller, S. (Steffi), Rose, R.J. (Richard), Rotter, J.I. (Jerome I.), Roussos, A. (Alexandra), Rovio, S.P. (Suvi P.), Saba, Y. (Yasaman), Sabb, F.W. (Fred W.), Sachdev, P.S. (Perminder), Satizabal, C.L. (Claudia), Schmid, M. (Matthias), Scott, R.J. (Rodney J.), Scult, M.A. (Matthew A.), Simino, J. (Jeannette), Slagboom, P.E. (Eline), Smyrnis, N. (Nikolaos), Soumaré, A. (Aicha), Stefanis, N.C. (Nikos C.), Stott, D.J. (David. J.), Straub, R.E. (Richard), Sundet, K. (Kjetil), Taylor, A.M. (Adele M.), Taylor, K.D. (Kent), Tzoulaki, I., Tzourio, C. (Christophe), Uitterlinden, A.G. (André), Vitart, V. (Veronique), Voineskos, A.N. (Aristotle N.), Kaprio, J. (Jaakko), Wagner, M. (Michael), Wagner, H. (Hermann), Weinhold, L. (Leonie), Wen, K.H. (K. Hoyan), Widen, E., Yang, Q. (Qiong Fang), Zhao, W. (Wei), Adams, H.H.H. (Hieab), Arking, D.E. (Dan), Bilder, R.M. (Robert M.), Bitsios, P. (Panos), Boerwinkle, E. (Eric), Chiba-Falek, O. (Ornit), Corvin, A. (Aiden), Jager, P.L. (Philip) de, Debette, S. (Stéphanie), Donohoe, D.J. (Dennis), Elliott, P. (Paul), Fitzpatrick, A.L. (Annette), Gill, M. (Michael), Glahn, D.C. (David), Hägg, S. (Sara), Hansell, N.K. (Narelle), Hariri, A.R. (Ahmad), Ikram, M.K. (Kamran), Jukema, J.W. (Jan Wouter), Vuoksimaa, E. (Eero), Keller, M.C. (Matthew C), Kremen, W.S. (William S.), Launer, L.J. (Lenore), Lindenberger, U. (Ulman), Palotie, A. (Aarno), Pedersen, N.L. (Nancy), Pendleton, N. (Neil), Porteous, D.J. (David J.), Räikkönen, K. (Katri), Raitakari, O.T. (Olli T.), Ramirez, A. (Alfredo), Reinvang, I. (Ivar), Rudan, I. (Igor), Rujescu, D. (Dan), Schmidt, R. (Reinhold), Schmidt, H. (Helena), Schofield, P.W. (Peter W.), Schofield, C.J. (Christopher), Starr, J.M. (John), Steen, V.M. (Vidar), Trollor, J., Turner, S.T. (Steven T.), Duijn, C.M. (Cornelia) van, Villringer, A. (Arno), Weinberger, D.R. (Daniel), Weir, D.R. (David R.), Wilson, J.F. (James F.), Malhotra, A.K. (Anil K), McIntosh, A.M. (Andrew), Gale, C.R. (Catharine R.), Seshadri, S. (Sudha), Mosley, T.H. (Thomas H.), Bressler, J. (Jan), Lencz, T. (Todd), Deary, I.J. (Ian), Davies, G. (Gail), Lam, M. (Max), Harris, S.E. (Sarah), Trampush, J.W. (Joey W.), Luciano, M. (Michelle), Hill, W.D. (W. David), Hagenaars, S. (Saskia), Ritchie, S.J. (Stuart J.), Marioni, R.E. (Riccardo), Fawns-Ritchie, C., Liewald, D.C.M. (David C. M.), Okely, J.A. (Judith A.), Ahola-Olli, A.V. (Ari V.), Barnes, C.L.K. (Catriona L. K.), Bertram, L. (Lars), Bis, J.C. (Joshua), Burdick, K.E. (Katherine E.), Christoforou, A. (Andrea), Derosse, P. (Pamela), Djurovic, S. (Srdjan), Espeseth, T. (Thomas), Giakoumaki, S. (Stella), Giddaluru, S. (Sudheer), Gustavson, D.E. (Daniel E.), Hayward, C. (Caroline), Hofer, E. (Edith), Ikram, M.A. (Arfan), Karlsson, R. (Robert), Knowles, E. (Emma), Lahti, J. (Jari), Leber, I. (Isabelle), Li, S. (Shuo), Mather, R., Melle, I. (Ingrid), Morris, D. (Derek), Oldmeadow, C. (Christopher), Palviainen, T. (Teemu), Payton, A. (Antony), Pazoki, R. (Raha), Petrovic, K. (Katja), Reynolds, C.A. (C.), Sargurupremraj, M. (Muralidharan), Scholz, M. (Markus), Smith, J.A. (Jennifer A), Smith, A.V. (Albert), Terzikhan, N. (Natalie), Thalamuthu, A. (Anbupalam), Trompet, S. (Stella), Lee, S.J. (Sven) van der, Ware, E.B. (Erin B.), Windham, B.G. (Gwen), Wright, M.J. (Margaret J.), Yang, J. (Jingyun), Yu, J. (Jin), Ames, D.J. (David), Amin, N. (Najaf), Amouyel, P. (Philippe), Andreassen, O.A. (Ole), Armstrong, N.J. (Nicola J.), Assareh, A.A., Attia, J. (John), Attix, D. (Deborah), Avramopoulos, D. (Dimitrios), Bennett, D.A. (David), Böhmer, M.R. (Marcel), Boyle, P.A. (Patricia A.), Brodaty, H. (Henry), Campbell, H. (Harry), Cannon, T.D. (Tyrone D.), Cirulli, E.T. (Elizabeth T.), Congdon, E. (Eliza), Conley, E.D. (Emily Drabant), Corley, J. (Janie), Cox, S.R. (Simon R.), Dale, A.M. (Anders), Dehghan, A. (Abbas), Dick, D. (Danielle), Dickinson, D. (Dwight), Hagen, K. (Knut), Evangelou, E. (Evangelos), Faul, J.D. (Jessica D.), Ford, I. (Ian), Freimer, N.A. (Nelson A.), Gao, H. (He), Giegling, I. (Ina), Gillespie, N.A. (Nathan A.), Gordon, S.D. (Scott D.), Gottesman, R.F. (Rebecca), Griswold, M.D. (Michael), Gudnason, V. (Vilmundur), Harris, T.B. (Tamara), Hartmann, A.M. (Annette M), Hatzimanolis, A. (Alex), Heiss, G. (Gerardo), Holliday, E.G. (Elizabeth), Joshi, P.K. (Peter), Kähönen, M. (Mika), Kardia, S.L.R. (Sharon L. R.), Karlsson, I. (Ida), Kleineidam, L. (Luca), Knopman, D.S. (David), Kochan, N.A. (Nicole A.), Konte, B. (Bettina), Kwok, J.B.J. (John), Le Hellard, S. (Stephanie), Lee, T. (Teresa), Lehtimäki, T. (Terho), Li, S.-C. (Shu-Chen), Liu, T. (Tian), Koini, M. (Marisa), London, E. (Edythe), Longstreth Jr, W.T., Lopez, O.L. (Oscar), Loukola, A. (Anu), Luck, T. (Tobias), Lundervold, A.J. (Astri), Lundquist, A. (Anders), Lyytikäinen, L.-P. (Leo-Pekka), Martin, N.G. (Nicholas), Montgomery, G.W. (Grant W.), Murray, A.D. (Alison D.), Need, A.C. (Anna C.), Noordam, R. (Raymond), Nyberg, L. (Lisa), Ollier, W.E.R. (William), Papenberg, G., Pattie, A. (Alison), Polasek, O. (Ozren), Poldrack, R.A. (Russell A.), Psaty, B.M. (Bruce M.), Reppermund, S., Riedel-Heller, S. (Steffi), Rose, R.J. (Richard), Rotter, J.I. (Jerome I.), Roussos, A. (Alexandra), Rovio, S.P. (Suvi P.), Saba, Y. (Yasaman), Sabb, F.W. (Fred W.), Sachdev, P.S. (Perminder), Satizabal, C.L. (Claudia), Schmid, M. (Matthias), Scott, R.J. (Rodney J.), Scult, M.A. (Matthew A.), Simino, J. (Jeannette), Slagboom, P.E. (Eline), Smyrnis, N. (Nikolaos), Soumaré, A. (Aicha), Stefanis, N.C. (Nikos C.), Stott, D.J. (David. J.), Straub, R.E. (Richard), Sundet, K. (Kjetil), Taylor, A.M. (Adele M.), Taylor, K.D. (Kent), Tzoulaki, I., Tzourio, C. (Christophe), Uitterlinden, A.G. (André), Vitart, V. (Veronique), Voineskos, A.N. (Aristotle N.), Kaprio, J. (Jaakko), Wagner, M. (Michael), Wagner, H. (Hermann), Weinhold, L. (Leonie), Wen, K.H. (K. Hoyan), Widen, E., Yang, Q. (Qiong Fang), Zhao, W. (Wei), Adams, H.H.H. (Hieab), Arking, D.E. (Dan), Bilder, R.M. (Robert M.), Bitsios, P. (Panos), Boerwinkle, E. (Eric), Chiba-Falek, O. (Ornit), Corvin, A. (Aiden), Jager, P.L. (Philip) de, Debette, S. (Stéphanie), Donohoe, D.J. (Dennis), Elliott, P. (Paul), Fitzpatrick, A.L. (Annette), Gill, M. (Michael), Glahn, D.C. (David), Hägg, S. (Sara), Hansell, N.K. (Narelle), Hariri, A.R. (Ahmad), Ikram, M.K. (Kamran), Jukema, J.W. (Jan Wouter), Vuoksimaa, E. (Eero), Keller, M.C. (Matthew C), Kremen, W.S. (William S.), Launer, L.J. (Lenore), Lindenberger, U. (Ulman), Palotie, A. (Aarno), Pedersen, N.L. (Nancy), Pendleton, N. (Neil), Porteous, D.J. (David J.), Räikkönen, K. (Katri), Raitakari, O.T. (Olli T.), Ramirez, A. (Alfredo), Reinvang, I. (Ivar), Rudan, I. (Igor), Rujescu, D. (Dan), Schmidt, R. (Reinhold), Schmidt, H. (Helena), Schofield, P.W. (Peter W.), Schofield, C.J. (Christopher), Starr, J.M. (John), Steen, V.M. (Vidar), Trollor, J., Turner, S.T. (Steven T.), Duijn, C.M. (Cornelia) van, Villringer, A. (Arno), Weinberger, D.R. (Daniel), Weir, D.R. (David R.), Wilson, J.F. (James F.), Malhotra, A.K. (Anil K), McIntosh, A.M. (Andrew), Gale, C.R. (Catharine R.), Seshadri, S. (Sudha), Mosley, T.H. (Thomas H.), Bressler, J. (Jan), Lencz, T. (Todd), and Deary, I.J. (Ian)

Abstract

General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the c

Published
2018
Full Text
View/download PDF

37. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author

Davies, G., Lam, M., Harris, S.E., Trampush, J.W., Luciano, M., Hill, W.D., Hagenaars, S.P., Ritchie, S.J., Marioni, R.E., Fawns-Ritchie, C., Liewald, D.C.M., Okely, J.A., Ahola-Olli, A.V., Barnes, C.L.K., Bertram, L., Bis, J.C., Burdick, K.E., Christoforou, A., DeRosse, P., Djurovic, S., Espeseth, T., Giakoumaki, S., Giddaluru, S., Gustavson, D.E., Hayward, C., Hofer, E., Ikram, M.A., Karlsson, R., Knowles, E., Lahti, J., Leber, M., Li, S., Mather, K.A., Melle, I., Morris, D., Oldmeadow, C., Palviainen, T., Payton, A., Pazoki, R., Petrovic, K., Reynolds, C.A., Sargurupremraj, M., Scholz, M., Smith, J.A., Smith, A.V., Terzikhan, N., Thalamuthu, A., Trompet, S., van der Lee, S.J., Ware, E.B., Windham, B.G., Wright, M.J., Yang, J., Yu, J., Ames, D., Amin, N., Amouyel, P., Andreassen, O.A., Armstrong, N.J., Assareh, A.A., Attia, J.R., Attix, D., Avramopoulos, D., Bennett, D.A., Böhmer, A.C., Boyle, P.A., Brodaty, H., Campbell, H., Cannon, T.D., Cirulli, E.T., Congdon, E., Conley, E.D., Corley, J., Cox, S.R., Dale, A.M., Dehghan, A., Dick, D., Dickinson, D., Eriksson, J.G., Evangelou, E., Faul, J.D., Ford, I., Freimer, N.A., Gao, H., Giegling, I., Gillespie, N.A., Gordon, S.D., Gottesman, R.F., Griswold, M.E., Gudnason, V., Harris, T.B., Hartmann, A.M., Hatzimanolis, A., Heiss, G., Holliday, E.G., Joshi, P.K., Kähönen, M., Kardia, S.L.R., Karlsson, I., Kleineidam, L., Knopman, D.S., Kochan, N.A., Konte, B., Kwok, J.B., Le Hellard, S., Lee, T., Lehtimäki, T., Li, S-C, Liu, T., Koini, M., London, E., Longstreth, W.T., Lopez, O.L., Loukola, A., Luck, T., Lundervold, A.J., Lundquist, A., Lyytikäinen, L-P, Martin, N.G., Montgomery, G.W., Murray, A.D., Need, A.C., Noordam, R., Nyberg, L., Ollier, W., Papenberg, G., Pattie, A., Polasek, O., Poldrack, R.A., Psaty, B.M., Reppermund, S., Riedel-Heller, S.G., Rose, R.J., Rotter, J.I., Roussos, P., Rovio, S.P., Saba, Y., Sabb, F.W., Sachdev, P.S., Satizabal, C.L., Schmid, M., Scott, R.J., Scult, M.A., Simino, J., Slagboom, P.E., Smyrnis, N., Soumaré, A., Stefanis, N.C., Stott, D.J., Straub, R.E., Sundet, K., Taylor, A.M., Taylor, K.D., Tzoulaki, I., Tzourio, C., Uitterlinden, A., Vitart, V., Voineskos, A.N., Kaprio, J., Wagner, M., Wagner, H., Weinhold, L., Wen, K.H., Widen, E., Yang, Q., Zhao, W., Adams, H.H.H., Arking, D.E., Bilder, R.M., Bitsios, P., Boerwinkle, E., Chiba-Falek, O., Corvin, A., De Jager, P.L., Debette, S., Donohoe, G., Elliott, P., Fitzpatrick, A.L., Gill, M., Glahn, D.C., Hägg, S., Hansell, N.K., Hariri, A.R., Ikram, M.K., Jukema, J.W., Vuoksimaa, E., Keller, M.C., Kremen, W.S., Launer, L., Lindenberger, U., Palotie, A., Pedersen, N.L., Pendleton, N., Porteous, D.J., Räikkönen, K., Raitakari, O.T., Ramirez, A., Reinvang, I., Rudan, I., Rujescu, D., Schmidt, R., Schmidt, H., Schofield, P.W., Schofield, P.R., Starr, J.M., Steen, V.M., Trollor, J.N., Turner, S.T., van Duijn, C.M., Villringer, Arno, Weinberger, D.R., Weir, D.R., Wilson, J.F., Malhotra, A., McIntosh, A.M., Gale, C.R., Seshadri, S., Mosley, T.H., Bressler, J., Lencz, T., Deary, I.J., Davies, G., Lam, M., Harris, S.E., Trampush, J.W., Luciano, M., Hill, W.D., Hagenaars, S.P., Ritchie, S.J., Marioni, R.E., Fawns-Ritchie, C., Liewald, D.C.M., Okely, J.A., Ahola-Olli, A.V., Barnes, C.L.K., Bertram, L., Bis, J.C., Burdick, K.E., Christoforou, A., DeRosse, P., Djurovic, S., Espeseth, T., Giakoumaki, S., Giddaluru, S., Gustavson, D.E., Hayward, C., Hofer, E., Ikram, M.A., Karlsson, R., Knowles, E., Lahti, J., Leber, M., Li, S., Mather, K.A., Melle, I., Morris, D., Oldmeadow, C., Palviainen, T., Payton, A., Pazoki, R., Petrovic, K., Reynolds, C.A., Sargurupremraj, M., Scholz, M., Smith, J.A., Smith, A.V., Terzikhan, N., Thalamuthu, A., Trompet, S., van der Lee, S.J., Ware, E.B., Windham, B.G., Wright, M.J., Yang, J., Yu, J., Ames, D., Amin, N., Amouyel, P., Andreassen, O.A., Armstrong, N.J., Assareh, A.A., Attia, J.R., Attix, D., Avramopoulos, D., Bennett, D.A., Böhmer, A.C., Boyle, P.A., Brodaty, H., Campbell, H., Cannon, T.D., Cirulli, E.T., Congdon, E., Conley, E.D., Corley, J., Cox, S.R., Dale, A.M., Dehghan, A., Dick, D., Dickinson, D., Eriksson, J.G., Evangelou, E., Faul, J.D., Ford, I., Freimer, N.A., Gao, H., Giegling, I., Gillespie, N.A., Gordon, S.D., Gottesman, R.F., Griswold, M.E., Gudnason, V., Harris, T.B., Hartmann, A.M., Hatzimanolis, A., Heiss, G., Holliday, E.G., Joshi, P.K., Kähönen, M., Kardia, S.L.R., Karlsson, I., Kleineidam, L., Knopman, D.S., Kochan, N.A., Konte, B., Kwok, J.B., Le Hellard, S., Lee, T., Lehtimäki, T., Li, S-C, Liu, T., Koini, M., London, E., Longstreth, W.T., Lopez, O.L., Loukola, A., Luck, T., Lundervold, A.J., Lundquist, A., Lyytikäinen, L-P, Martin, N.G., Montgomery, G.W., Murray, A.D., Need, A.C., Noordam, R., Nyberg, L., Ollier, W., Papenberg, G., Pattie, A., Polasek, O., Poldrack, R.A., Psaty, B.M., Reppermund, S., Riedel-Heller, S.G., Rose, R.J., Rotter, J.I., Roussos, P., Rovio, S.P., Saba, Y., Sabb, F.W., Sachdev, P.S., Satizabal, C.L., Schmid, M., Scott, R.J., Scult, M.A., Simino, J., Slagboom, P.E., Smyrnis, N., Soumaré, A., Stefanis, N.C., Stott, D.J., Straub, R.E., Sundet, K., Taylor, A.M., Taylor, K.D., Tzoulaki, I., Tzourio, C., Uitterlinden, A., Vitart, V., Voineskos, A.N., Kaprio, J., Wagner, M., Wagner, H., Weinhold, L., Wen, K.H., Widen, E., Yang, Q., Zhao, W., Adams, H.H.H., Arking, D.E., Bilder, R.M., Bitsios, P., Boerwinkle, E., Chiba-Falek, O., Corvin, A., De Jager, P.L., Debette, S., Donohoe, G., Elliott, P., Fitzpatrick, A.L., Gill, M., Glahn, D.C., Hägg, S., Hansell, N.K., Hariri, A.R., Ikram, M.K., Jukema, J.W., Vuoksimaa, E., Keller, M.C., Kremen, W.S., Launer, L., Lindenberger, U., Palotie, A., Pedersen, N.L., Pendleton, N., Porteous, D.J., Räikkönen, K., Raitakari, O.T., Ramirez, A., Reinvang, I., Rudan, I., Rujescu, D., Schmidt, R., Schmidt, H., Schofield, P.W., Schofield, P.R., Starr, J.M., Steen, V.M., Trollor, J.N., Turner, S.T., van Duijn, C.M., Villringer, Arno, Weinberger, D.R., Weir, D.R., Wilson, J.F., Malhotra, A., McIntosh, A.M., Gale, C.R., Seshadri, S., Mosley, T.H., Bressler, J., Lencz, T., and Deary, I.J.

Abstract

General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16–102) and find 148 genome-wide significant independent loci (P < 5 × 10−8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

Published
2018

38. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Author

Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., De Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., Grasby, K. L., Hammerschlag, A. R., Kaminski, J. A., Karlsson, R., Krapohl, E., Lam, M., Nygaard, M., Reynolds, C. A., Trampush, J. W., Young, H., Zabaneh, D., Hägg, S., Hansell, N. K., Karlsson, Ida K., Linnarsson, S., Montgomery, G. W., Muñoz-Manchado, A. B., Quinlan, E. B., Schumann, G., Skene, N. G., Webb, B. T., White, T., Arking, D. E., Avramopoulos, D., Bilder, R. M., Bitsios, P., Burdick, K. E., Cannon, T. D., Chiba-Falek, O., Christoforou, A., Cirulli, E. T., Congdon, E., Corvin, A., Davies, G., Deary, I. J., Derosse, P., Dickinson, D., Djurovic, S., Donohoe, G., Conley, E. D., Eriksson, J. G., Espeseth, T., Freimer, N. A., Giakoumaki, S., Giegling, I., Gill, M., Glahn, D. C., Hariri, A. R., Hatzimanolis, A., Keller, M. C., Knowles, E., Koltai, D., Konte, B., Lahti, J., Le Hellard, S., Lencz, T., Liewald, D. C., London, E., Lundervold, A. J., Malhotra, A. K., Melle, I., Morris, D., Need, A. C., Ollier, W., Palotie, A., Payton, A., Pendleton, N., Poldrack, R. A., Räikkönen, K., Reinvang, I., Roussos, P., Rujescu, D., Sabb, F. W., Scult, M. A., Smeland, O. B., Smyrnis, N., Starr, J. M., Steen, V. M., Stefanis, N. C., Straub, R. E., Sundet, K., Tiemeier, H., Voineskos, A. N., Weinberger, D. R., Widen, E., Yu, J., Abecasis, G., Andreassen, O. A., Breen, G., Christiansen, L., Debrabant, B., Dick, D. M., Heinz, A., Hjerling-Leffler, J., Ikram, M. A., Kendler, K. S., Martin, N. G., Medland, S. E., Pedersen, N. L., Plomin, R., Polderman, T. J. C., Ripke, S., Van Der Sluis, S., Sullivan, P. F., Vrieze, S. I., Wright, M. J., Posthuma, D., Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., De Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., Grasby, K. L., Hammerschlag, A. R., Kaminski, J. A., Karlsson, R., Krapohl, E., Lam, M., Nygaard, M., Reynolds, C. A., Trampush, J. W., Young, H., Zabaneh, D., Hägg, S., Hansell, N. K., Karlsson, Ida K., Linnarsson, S., Montgomery, G. W., Muñoz-Manchado, A. B., Quinlan, E. B., Schumann, G., Skene, N. G., Webb, B. T., White, T., Arking, D. E., Avramopoulos, D., Bilder, R. M., Bitsios, P., Burdick, K. E., Cannon, T. D., Chiba-Falek, O., Christoforou, A., Cirulli, E. T., Congdon, E., Corvin, A., Davies, G., Deary, I. J., Derosse, P., Dickinson, D., Djurovic, S., Donohoe, G., Conley, E. D., Eriksson, J. G., Espeseth, T., Freimer, N. A., Giakoumaki, S., Giegling, I., Gill, M., Glahn, D. C., Hariri, A. R., Hatzimanolis, A., Keller, M. C., Knowles, E., Koltai, D., Konte, B., Lahti, J., Le Hellard, S., Lencz, T., Liewald, D. C., London, E., Lundervold, A. J., Malhotra, A. K., Melle, I., Morris, D., Need, A. C., Ollier, W., Palotie, A., Payton, A., Pendleton, N., Poldrack, R. A., Räikkönen, K., Reinvang, I., Roussos, P., Rujescu, D., Sabb, F. W., Scult, M. A., Smeland, O. B., Smyrnis, N., Starr, J. M., Steen, V. M., Stefanis, N. C., Straub, R. E., Sundet, K., Tiemeier, H., Voineskos, A. N., Weinberger, D. R., Widen, E., Yu, J., Abecasis, G., Andreassen, O. A., Breen, G., Christiansen, L., Debrabant, B., Dick, D. M., Heinz, A., Hjerling-Leffler, J., Ikram, M. A., Kendler, K. S., Martin, N. G., Medland, S. E., Pedersen, N. L., Plomin, R., Polderman, T. J. C., Ripke, S., Van Der Sluis, S., Sullivan, P. F., Vrieze, S. I., Wright, M. J., and Posthuma, D.

Abstract

Intelligence is highly heritable 1 and a major determinant of human health and well-being 2 . Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence 3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.

Published
2018
Full Text
View/download PDF

39. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium (vol 22, pg 336, 2017)

Author

Trampush, JW, Yang, MLZ, Yu, J, Knowles, E, Davies, G, Liewald, DC, Starr, JM, Djurovic, S, Melle, I, Sundet, K, Christoforou, A, Reinvang, I, DeRosse, P, Lundervold, AJ, Steen, VM, Espeseth, T, Raikkonen, K, Widen, E, Palotie, A, Eriksson, JG, Giegling, I, Konte, B, Roussos, P, Giakoumaki, S, Burdick, KE, Payton, A, Ollier, W, Horan, M, Chiba-Falek, O, Attix, DK, Need, AC, Cirulli, ET, Voineskos, AN, Stefanis, NC, Avramopoulos, D, Hatzimanolis, A, Arking, DE, Smyrnis, N, Bilder, RM, Freimer, NA, Cannon, TD, London, E, Poldrack, RA, Sabb, FW, Congdon, E, Conley, ED, Scult, MA, Dickinson, D, Straub, RE, Donohoe, G, Morris, D, Corvin, A, Gill, M, Hariri, AR, Weinberger, DR, Pendleton, N, Bitsios, P, Rujescu, D, Lahti, J, Le Hellard, S, Keller, MC, Andreassen, OA, Deary, IJ, Glahn, DC, Malhotra, AK, and Lencz, T

Subjects
Psychiatry, 17 Psychology And Cognitive Sciences, Biochemistry & Molecular Biology, Science & Technology, Neurosciences, Neurosciences & Neurology, 11 Medical And Health Sciences, 06 Biological Sciences, Life Sciences & Biomedicine
Published
2017

40. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium

Author

Trampush, J. W. Yang, M. L. Z. Yu, J. Knowles, E. and Davies, G. Liewald, D. C. Starr, J. M. Djurovic, S. and Melle, I. Sundet, K. Christoforou, A. Reinvang, I. and DeRosse, P. Lundervold, A. J. Steen, V. M. Espeseth, T. and Raikkonen, K. Widen, E. Palotie, A. Eriksson, J. G. and Giegling, I. Konte, B. Roussos, P. Giakoumaki, S. and Burdick, K. E. Payton, A. Ollier, W. Horan, M. and Chiba-Falek, O. Attix, D. K. Need, A. C. Cirulli, E. T. and Voineskos, A. N. Stefanis, N. C. Avramopoulos, D. and Hatzimanolis, A. Arking, D. E. Smyrnis, N. Bilder, R. M. and Freimer, N. A. Cannon, T. D. London, E. Poldrack, R. A. and Sabb, F. W. Congdon, E. Conley, E. D. Scult, M. A. and Dickinson, D. Straub, R. E. Donohoe, G. Morris, D. and Corvin, A. Gill, M. Hariri, A. R. Weinberger, D. R. and Pendleton, N. Bitsios, P. Rujescu, D. Lahti, J. Le Hellard, S. Keller, M. C. Andreassen, O. A. Deary, I. J. and Glahn, D. C. Malhotra, A. K. Lencz, T.

Abstract

The complex nature of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS) methods. In an attempt to overcome these barriers, the current study utilized GWAS meta-analysis to examine the association of common genetic variation (similar to 8M single-nucleotide polymorphisms (SNP) with minor allele frequency >= 1%) to general cognitive function in a sample of 35 298 healthy individuals of European ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT). In addition, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap with other relevant neurobehavioral phenotypes. Our primary GWAS meta-analysis identified two novel SNP loci (top SNPs: rs76114856 in the CENPO gene on chromosome 2 and rs6669072 near LOC105378853 on chromosome 1) associated with cognitive performance at the genome-wide significance level (P

Published
2017

41. Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets

Author

Lam, M. Trampush, J.W. Yu, J. Knowles, E. Davies, G. Liewald, D.C. Starr, J.M. Djurovic, S. Melle, I. Sundet, K. Christoforou, A. Reinvang, I. DeRosse, P. Lundervold, A.J. Steen, V.M. Espeseth, T. Räikkönen, K. Widen, E. Palotie, A. Eriksson, J.G. Giegling, I. Konte, B. Roussos, P. Giakoumaki, S. Burdick, K.E. Payton, A. Ollier, W. Chiba-Falek, O. Attix, D.K. Need, A.C. Cirulli, E.T. Voineskos, A.N. Stefanis, N.C. Avramopoulos, D. Hatzimanolis, A. Arking, D.E. Smyrnis, N. Bilder, R.M. Freimer, N.A. Cannon, T.D. London, E. Poldrack, R.A. Sabb, F.W. Congdon, E. Conley, E.D. Scult, M.A. Dickinson, D. Straub, R.E. Donohoe, G. Morris, D. Corvin, A. Gill, M. Hariri, A.R. Weinberger, D.R. Pendleton, N. Bitsios, P. Rujescu, D. Lahti, J. Le Hellard, S. Keller, M.C. Andreassen, O.A. Deary, I.J. Glahn, D.C. Malhotra, A.K. Lencz, T.

Abstract

Here, we present a large (n = 107,207) genome-wide association study (GWAS) of general cognitive ability (“g”), further enhanced by combining results with a large-scale GWAS of educational attainment. We identified 70 independent genomic loci associated with general cognitive ability. Results showed significant enrichment for genes causing Mendelian disorders with an intellectual disability phenotype. Competitive pathway analysis implicated the biological processes of neurogenesis and synaptic regulation, as well as the gene targets of two pharmacologic agents: cinnarizine, a T-type calcium channel blocker, and LY97241, a potassium channel inhibitor. Transcriptome-wide and epigenome-wide analysis revealed that the implicated loci were enriched for genes expressed across all brain regions (most strongly in the cerebellum). Enrichment was exclusive to genes expressed in neurons but not oligodendrocytes or astrocytes. Finally, we report genetic correlations between cognitive ability and disparate phenotypes including psychiatric disorders, several autoimmune disorders, longevity, and maternal age at first birth. Lam et al. conduct a large-scale genome-wide association study of cognitive ability, identifying 70 associated loci. Results provide biological insights into the molecular basis of individual differences in cognitive ability, as well as their relationship to psychiatric and other health-relevant phenotypes. © 2017 The Author(s)

Published
2017

42. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function

Author

University of Helsinki, Medicum, University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, University of Helsinki, Helsinki Collegium for Advanced Studies, Trampush, J. W., Yang, M. L. Z., Yu, J., Knowles, E., Davies, G., Liewald, D. C., Starr, J. M., Djurovic, S., Melle, I., Sundet, K., Christoforou, A., Reinvang, I., DeRosse, P., Lundervold, A. J., Steen, V. M., Espeseth, T., Räikkönen, Katri, Widen, E., Palotie, A., Eriksson, J. G., Giegling, I., Konte, B., Roussos, P., Giakoumaki, S., Burdick, K. E., Payton, A., Ollier, W., Horan, M., Chiba-Falek, O., Attix, D. K., Need, A. C., Cirulli, E. T., Voineskos, A. N., Stefanis, N. C., Avramopoulos, D., Hatzimanolis, A., Arking, D. E., Smyrnis, N., Bilder, R. M., Freimer, N. A., Cannon, T. D., London, E., Poldrack, R. A., Sabb, F. W., Congdon, E., Conley, E. D., Scult, M. A., Dickinson, D., Straub, R. E., Donohoe, G., Morris, D., Corvin, A., Gill, M., Hariri, A. R., Weinberger, D. R., Pendleton, N., Bitsios, P., Rujescu, D., Lahti, J., Le Hellard, S., Keller, M. C., Andreassen, O. A., Deary, I. J., Glahn, D. C., Malhotra, A. K., Lencz, T., University of Helsinki, Medicum, University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, University of Helsinki, Helsinki Collegium for Advanced Studies, Trampush, J. W., Yang, M. L. Z., Yu, J., Knowles, E., Davies, G., Liewald, D. C., Starr, J. M., Djurovic, S., Melle, I., Sundet, K., Christoforou, A., Reinvang, I., DeRosse, P., Lundervold, A. J., Steen, V. M., Espeseth, T., Räikkönen, Katri, Widen, E., Palotie, A., Eriksson, J. G., Giegling, I., Konte, B., Roussos, P., Giakoumaki, S., Burdick, K. E., Payton, A., Ollier, W., Horan, M., Chiba-Falek, O., Attix, D. K., Need, A. C., Cirulli, E. T., Voineskos, A. N., Stefanis, N. C., Avramopoulos, D., Hatzimanolis, A., Arking, D. E., Smyrnis, N., Bilder, R. M., Freimer, N. A., Cannon, T. D., London, E., Poldrack, R. A., Sabb, F. W., Congdon, E., Conley, E. D., Scult, M. A., Dickinson, D., Straub, R. E., Donohoe, G., Morris, D., Corvin, A., Gill, M., Hariri, A. R., Weinberger, D. R., Pendleton, N., Bitsios, P., Rujescu, D., Lahti, J., Le Hellard, S., Keller, M. C., Andreassen, O. A., Deary, I. J., Glahn, D. C., Malhotra, A. K., and Lencz, T.

Abstract

The complex nature of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS) methods. In an attempt to overcome these barriers, the current study utilized GWAS meta-analysis to examine the association of common genetic variation (similar to 8M single-nucleotide polymorphisms (SNP) with minor allele frequency >= 1%) to general cognitive function in a sample of 35 298 healthy individuals of European ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT). In addition, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap with other relevant neurobehavioral phenotypes. Our primary GWAS meta-analysis identified two novel SNP loci (top SNPs: rs76114856 in the CENPO gene on chromosome 2 and rs6669072 near LOC105378853 on chromosome 1) associated with cognitive performance at the genome-wide significance level (P

Published
2017

44. Schizophrenia candidate gene ERBB4: Covert routes of vulnerability to psychosis detected at the population level

Author

Stefanis, N.C. Hatzimanolis, A. Smyrnis, N. Avramopoulos, D. Evdokimidis, I. Van Os, J. Stefanis, C.N. Straub, R.E. Weinberger, D.R.

Abstract

Prior genetic and functional evidence established ERBB4 as a probable schizophrenia susceptibility gene that may confer risk via modulating brain information processing dependent on the integrity of frontotemporal brain circuitry. Utilizing retrospective data drawn from the cross-sectional population-based Athens Study of Psychosis Proneness and Incidence of Schizophrenia (ASPIS) (n = 1127), we attempted to independently replicate and further extend previous findings by examining the effects of ERBB4 gene variants on 3 broad population-based psychosis-related phenotypes: verbal working memory (VWM), trait schizotypy, and stress-induced subclinical psychotic experiences (PE). Three common ERBB4 single nucleotide polymorphisms that were previously associated with schizophrenia and impaired frontotemporal-related information processing (rs7598440, rs839523, and rs707284), their haplotypes, and corresponding diplotypes were tested. VWM performance was significantly associated with rs839523 and rs707284 markers even after correction for multiple testing, thus validating reported findings that have implicated ERBB4 gene variation on working memory. No associations were detected between these ERBB4 variants and trait schizotypy. However, we were able to detect a significant effect of rs7598440 marker on PE expressed under stressful environmental conditions. Combined haplotype analysis of the above 3 markers, identified a yin-yang pattern of association, confirmed at the diplotype level. While GGG haplotype homozygotes were associated with protective effects on VWM performance and PE, AAA risk haplotype carriers were associated with worse VWM performance and simultaneously exhibited significantly elevated PE. This dual, possibly pleiotropic, impact on frontotemporal circuitry and increased sensitivity to psychosocial stress may represent subtle manifestations of ERBB4-related vulnerability to psychosis, expressed at the population level. © 2013 The Author.

Published
2013

45. Variation in psychosis gene ZNF804A is associated with a refined schizotypy phenotype but not neurocognitive performance in a large young male population

Author

Stefanis, N.C. Hatzimanolis, A. Avramopoulos, D. Smyrnis, N. Evdokimidis, I. Stefanis, C.N. Weinberger, D.R. Straub, R.E.

Abstract

Genetic variability within the ZNF804A gene has been recently found to be associated with schizophrenia and bipolar disorder, although the pathways by which this gene may confer risk remain largely unknown. We set out to investigate whether common ZNF804A variants affect psychosis-related intermediate phenotypes such as cognitive performance dependent on prefrontal and frontotemporal brain function, schizotypal traits, and attenuated psychotic experiences in a large young male population. Association analyses were performed using all 4 available self-rated schizotypy questionnaires and cognitive data retrospectively drawn from the Athens Study of Psychosis Proneness and Incidence of Schizophrenia (ASPIS). DNA samples from 1507 healthy young men undergoing induction to military training were genotyped for 4 previously studied polymorphic markers in the ZNF804A gene locus. Single-marker analysis revealed significant associations between 2 recently identified candidate schizophrenia susceptibility variants (rs1344706 and rs7597593) and a refined positive schizotypy phenotype characterized primarily by self-rated paranoia/ideas of reference. Nominal associations were noted with all positive, but not negative, schizotypy related factors. ZNF804A genotype effect on paranoia was confirmed at the haplotype level. No significant associations were noted with central indexes of sustained attention or working memory performance. In this study, ZNF804A variation was associated with a population-based self-rated schizotypy phenotype previously suggested to preferentially reflect genetic liability to psychosis and defined by a tendency to misinterpret otherwise neutral social cues and perceptual experiences in one's immediate environment, as personally relevant and significant information. This suggests a novel route by which schizophrenia-implicated ZNF804A genetic variation may confer risk to clinical psychosis at the general population level. © 2012 The Author.

Published
2013

46. Schizophrenia-related RGS4 gene variations specifically disrupt prefrontal control of saccadic eye movements

Author

Kattoulas, E. Stefanis, N.C. Avramopoulos, D. Stefanis, C.N. Evdokimidis, I. Smyrnis, N.

Subjects
genetic structures
Abstract

Background The gene encoding the regulator of G-protein signaling subtype 4 (RGS4), located on chromosome 1q23-3, has been proposed as a possible susceptibility gene for schizophrenia and has been specifically linked to prefrontal cortical structural and functional integrity.Method The effects of four core single nucleotide polymorphisms (SNPs) within the RGS4 gene on oculomotor parameters in a battery of oculomotor tasks (saccade, antisaccade, smooth eye pursuit, fixation) were investigated in a sample of 2243 young male military conscripts. Results The risk allele of RGS4SNP18 was found to be associated with two variables of antisaccade performance, increased error rate and variation in the correct antisaccade latency. By contrast, the same allele and also the risk allele of RGS4SNP4 led to an improvement in smooth eye pursuit performance (increased gain). Structural equation modeling confirmed that the combined gene variation of RGS4SNP4 and RGS4SNP18 was a significant predictor of antisaccade but not smooth eye pursuit performance. Conclusions These Results provide evidence for a specific effect of schizophrenia-related RGS4 genotype variations to prefrontal dysfunction measured by oculomotor indices of performance in normal individuals, further validating the hypothesis that RGS4 is related to prefrontal dysfunction in schizophrenia. © 2011 Cambridge University Press.

Published
2012

47. Bipolar disorder ANK3 risk variant effect on sustained attention is replicated in a large healthy population

Author

Hatzimanolis, A. Smyrnis, N. Avramopoulos, D. Stefanis, C.N. Evdokimidis, I. Stefanis, N.C.

Abstract

Independent genome-wide association studies have implicated a common single nucleotide polymorphism within the ANK3 gene (rs10994336) in bipolar disorder (BD) susceptibility, thus establishing rs10994336 marker as a strong candidate predisposing genetic factor for BD. Furthermore, recent findings demonstrate that this variant impacts on cognitive functioning in BD patients, their unaffected relatives, and healthy controls by influencing sustained attention. Here, we aimed to replicate this finding in a large population-based sample of healthy young adults (n=1808). Sustained attention was evaluated using the Continuous Performance Test as in the original study and working memory was assessed with the n-back task. Individuals carrying the BD risk T-allele showed significantly reduced sensitivity in target detection, increased errors of commission, and atypical response latency variability. In addition, we confirmed the lack of an association between the rs10994336 variant and working memory, as well as general intellectual ability, suggesting a specific effect on the Continuous Performance Test performance. © 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins.

Published
2012

48. Predictive smooth eye pursuit in a population of young men: I. Effects of age, IQ, oculomotor and cognitive tasks

Author

Kattoulas, E. Smyrnis, N. Stefanis, N.C. Avramopoulos, D. Stefanis, C.N. Evdokimidis, I.

Subjects
genetic structures
Abstract

Smooth eye pursuit is believed to involve the integration of an extraretinal signal formed by an internal representation of the moving target and a retinal signal using the visual feedback to evaluate performance. A variation of the smooth eye pursuit paradigm (in which the moving target is occluded for a short period of time and subjects are asked to continue tracking) designed to isolate the predictive processes that drive the extraretinal signal was performed by 1,187 young men. The latency to the onset of change in pursuit speed, the time of decelerating eye-movement speed and the steady state residual gain were measured for each subject and correlated with measures of other oculomotor (closed-loop smooth eye pursuit, saccade, antisaccade, active fixation) and cognitive tasks (measuring sustained attention and working memory). Deceleration time increased with increasing age, while education, general IQ and cognitive variables had no effect on predictive pursuit performance. Predictive pursuit indices were correlated to those of closed-loop pursuit and antisaccade performance, but these correlations were very weak except for a positive correlation of residual gain to saccade frequency in the fixation task with distracters. This correlation suggested that the maintenance of active fixation is negatively correlated with the ability to maintain predictive pursuit speed. In conclusion, this study presents predictive pursuit performance in a large sample of apparently healthy individuals. Surprisingly, predictive pursuit was weakly if at all related to closed-loop pursuit or other oculomotor and cognitive tasks, supporting the usefulness of this phenotype in the study of frontal lobe integrity in normal and patient populations. © 2011 Springer-Verlag.

Published
2011

49. Schizophrenia-related neuregulin-1 single-nucleotide polymorphisms lead to deficient smooth eye pursuit in a large sample of young men

Author

Smyrnis, N. Kattoulas, E. Stefanis, N.C. Avramopoulos, D. Stefanis, C.N. Evdokimidis, I.

Subjects
genetic structures, mental disorders
Abstract

Neuregulin-1 (NRG1) variations have been shown to modulate schizophrenia candidate endophenotypes related to brain structure and function. The aim of this study was to determine the effect of NRG1 on several oculomotor schizophrenia endophenotypes. The effects of 5 core single-nucleotide polymorphisms (SNPs) within the NRG1 gene to oculomotor parameters in a battery of oculomotor tasks (saccade, antisaccade, smooth eye pursuit, fixation) were investigated in a sample of 2243 young male military conscripts. Additive regression models, bootstrap and permutation techniques, were used as well as structural equation modeling and haplotype analysis. A deficit in global smooth eye pursuit performance measured using the root-mean-square error (RMSE) was related to the risk allele of SNP8NRG243177, and a deficit in global smooth eye pursuit performance measured using the saccade frequency was related with the risk allele of SNP8NRG433E1006. Structural equation modeling confirmed a global effect of NRG1 genotype on smooth eye pursuit performance using the RMSE, while the effect on saccade frequency was not confirmed. Haplotype analysis further confirmed the prediction from the structural equation modeling that a combination of alleles corresponding to the Icelandic high-risk haplotype was related to a deficit in global pursuit performance. NRG1 genotype variations were related to smooth eye pursuit variations both at the SNP level and at the haplotype level adding to the validation of this gene as a candidate gene for the disorder. © The Author 2011. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved.

Published
2011

50. Predictive smooth eye pursuit in a population of young men: II. Effects of schizotypy, anxiety and depression

Author

Kattoulas, E. Evdokimidis, I. Stefanis, N.C. Avramopoulos, D. Stefanis, C.N. Smyrnis, N.

Subjects
genetic structures
Abstract

Smooth pursuit eye movement dysfunction is considered to be a valid schizophrenia endophenotype. Recent studies have tried to refine the phenotype in order to identify the specific neurophysiological deficits associated with schizophrenia. We used a variation of the smooth eye pursuit paradigm, during which the moving target is occluded for a short period of time and subjects are asked to continue tracking. This is designed to isolate the predictive processes that drive the extraretinal signal, a process previously reported to be defective in schizophrenia patients as well as their healthy relatives. In the current study, we investigated the relationship between predictive pursuit performance indices and age, education, non-verbal IQ, schizotypy and state anxiety, depression in 795 young Greek military conscripts. State anxiety was related to better predictive pursuit performance (increase in residual pursuit gain), while disorganized schizotypy was related to deficient predictive pursuit performance (decreased residual gain). This effect was independent of the effect of disorganized schizotypy on other oculomotor functions supporting the hypothesis that predictive pursuit might be specifically affected in schizophrenia spectrum disorders and could be considered as a distinct oculomotor endophenotype. © 2011 Springer-Verlag.

Published
2011

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