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1. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium.

Author

Stringer, S, Minică, CC, Verweij, KJH, Mbarek, H, Bernard, M, Derringer, J, van Eijk, KR, Isen, JD, Loukola, A, Maciejewski, DF, Mihailov, E, van der Most, PJ, Sánchez-Mora, C, Roos, L, Sherva, R, Walters, R, Ware, JJ, Abdellaoui, A, Bigdeli, TB, Branje, SJT, Brown, SA, Bruinenberg, M, Casas, M, Esko, T, Garcia-Martinez, I, Gordon, SD, Harris, JM, Hartman, CA, Henders, AK, Heath, AC, Hickie, IB, Hickman, M, Hopfer, CJ, Hottenga, JJ, Huizink, AC, Irons, DE, Kahn, RS, Korhonen, T, Kranzler, HR, Krauter, K, van Lier, PAC, Lubke, GH, Madden, PAF, Mägi, R, McGue, MK, Medland, SE, Meeus, WHJ, Miller, MB, Montgomery, GW, Nivard, MG, Nolte, IM, Oldehinkel, AJ, Pausova, Z, Qaiser, B, Quaye, L, Ramos-Quiroga, JA, Richarte, V, Rose, RJ, Shin, J, Stallings, MC, Stiby, AI, Wall, TL, Wright, MJ, Koot, HM, Paus, T, Hewitt, JK, Ribasés, M, Kaprio, J, Boks, MP, Snieder, H, Spector, T, Munafò, MR, Metspalu, A, Gelernter, J, Boomsma, DI, Iacono, WG, Martin, NG, Gillespie, NA, Derks, EM, and Vink, JM

Subjects
Humans, Marijuana Abuse, Carrier Proteins, Potassium Channels, Cell Adhesion Molecules, Membrane Proteins, Marijuana Smoking, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Genome-Wide Association Study, Young Adult, CD56 Antigen, Potassium Channels, Sodium-Activated, and over, Sodium-Activated, Antigens, CD56, Genetics, Tobacco, Substance Abuse, Human Genome, Drug Abuse, Brain Disorders, Pediatric Research Initiative, Tobacco Smoke and Health, Prevention, Biotechnology, Clinical Research, 2.1 Biological and endogenous factors, Mental Health, Psychology, Clinical Sciences, Public Health and Health Services
Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32 330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P

Published
2016

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

Author

Hancock, D B, Guo, Y, Reginsson, G W, Gaddis, N C, Lutz, S M, Sherva, R, Loukola, A, Minica, C C, Markunas, C A, Han, Y, Young, K A, Gudbjartsson, D F, Gu, F, McNeil, D W, Qaiser, B, Glasheen, C, Olson, S, Landi, M T, Madden, P A F, Farrer, L A, Vink, J, Saccone, N L, Neale, M C, Kranzler, H R, McKay, J, Hung, R J, Amos, C I, Marazita, M L, Boomsma, D I, Baker, T B, Gelernter, J, Kaprio, J, Caporaso, N E, Thorgeirsson, T E, Hokanson, J E, Bierut, L J, Stefansson, K, and Johnson, E O

Published
2018
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3. Evidence of CNIH3 involvement in opioid dependence

Author

Nelson, E C, Agrawal, A, Heath, A C, Bogdan, R, Sherva, R, Zhang, B, Al-Hasani, R, Bruchas, M R, Chou, Y-L, Demers, C H, Carey, C E, Conley, E D, Fakira, A K, Farrer, L A, Goate, A, Gordon, S, Henders, A K, Hesselbrock, V, Kapoor, M, Lynskey, M T, Madden, P A F, Moron, J A, Rice, J P, Saccone, N L, Schwab, S G, Shand, F L, Todorov, A A, Wallace, L, Wang, T, Wray, N R, Zhou, X, Degenhardt, L, Martin, N G, Hariri, A R, Kranzler, H R, Gelernter, J, Bierut, L J, Clark, D J, and Montgomery, G W

Published
2016
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6. Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies

Author

Munn-Chernoff, M.A. Johnson, E.C. Chou, Y.-L. Coleman, J.R.I. Thornton, L.M. Walters, R.K. Yilmaz, Z. Baker, J.H. Hübel, C. Gordon, S. Medland, S.E. Watson, H.J. Gaspar, H.A. Bryois, J. Hinney, A. Leppä, V.M. Mattheisen, M. Ripke, S. Yao, S. Giusti-Rodríguez, P. Hanscombe, K.B. Adan, R.A.H. Alfredsson, L. Ando, T. Andreassen, O.A. Berrettini, W.H. Boehm, I. Boni, C. Boraska Perica, V. Buehren, K. Burghardt, R. Cassina, M. Cichon, S. Clementi, M. Cone, R.D. Courtet, P. Crow, S. Crowley, J.J. Danner, U.N. Davis, O.S.P. de Zwaan, M. Dedoussis, G. Degortes, D. DeSocio, J.E. Dick, D.M. Dikeos, D. Dina, C. Dmitrzak-Weglarz, M. Docampo, E. Duncan, L.E. Egberts, K. Ehrlich, S. Escaramís, G. Esko, T. Estivill, X. Farmer, A. Favaro, A. Fernández-Aranda, F. Fichter, M.M. Fischer, K. Föcker, M. Foretova, L. Forstner, A.J. Forzan, M. Franklin, C.S. Gallinger, S. Giegling, I. Giuranna, J. Gonidakis, F. Gorwood, P. Gratacos Mayora, M. Guillaume, S. Guo, Y. Hakonarson, H. Hatzikotoulas, K. Hauser, J. Hebebrand, J. Helder, S.G. Herms, S. Herpertz-Dahlmann, B. Herzog, W. Huckins, L.M. Hudson, J.I. Imgart, H. Inoko, H. Janout, V. Jiménez-Murcia, S. Julià, A. Kalsi, G. Kaminská, D. Karhunen, L. Karwautz, A. Kas, M.J.H. Kennedy, J.L. Keski-Rahkonen, A. Kiezebrink, K. Kim, Y.-R. Klump, K.L. Knudsen, G.P.S. La Via, M.C. Le Hellard, S. Levitan, R.D. Li, D. Lilenfeld, L. Lin, B.D. Lissowska, J. Luykx, J. Magistretti, P.J. Maj, M. Mannik, K. Marsal, S. Marshall, C.R. Mattingsdal, M. McDevitt, S. McGuffin, P. Metspalu, A. Meulenbelt, I. Micali, N. Mitchell, K. Monteleone, A.M. Monteleone, P. Nacmias, B. Navratilova, M. Ntalla, I. O'Toole, J.K. Ophoff, R.A. Padyukov, L. Palotie, A. Pantel, J. Papezova, H. Pinto, D. Rabionet, R. Raevuori, A. Ramoz, N. Reichborn-Kjennerud, T. Ricca, V. Ripatti, S. Ritschel, F. Roberts, M. Rotondo, A. Rujescu, D. Rybakowski, F. Santonastaso, P. Scherag, A. Scherer, S.W. Schmidt, U. Schork, N.J. Schosser, A. Seitz, J. Slachtova, L. Slagboom, P.E. Slof-Op't Landt, M.C.T. Slopien, A. Sorbi, S. Świątkowska, B. Szatkiewicz, J.P. Tachmazidou, I. Tenconi, E. Tortorella, A. Tozzi, F. Treasure, J. Tsitsika, A. Tyszkiewicz-Nwafor, M. Tziouvas, K. van Elburg, A.A. van Furth, E.F. Wagner, G. Walton, E. Widen, E. Zeggini, E. Zerwas, S. Zipfel, S. Bergen, A.W. Boden, J.M. Brandt, H. Crawford, S. Halmi, K.A. Horwood, L.J. Johnson, C. Kaplan, A.S. Kaye, W.H. Mitchell, J. Olsen, C.M. Pearson, J.F. Pedersen, N.L. Strober, M. Werge, T. Whiteman, D.C. Woodside, D.B. Grove, J. Henders, A.K. Larsen, J.T. Parker, R. Petersen, L.V. Jordan, J. Kennedy, M.A. Birgegård, A. Lichtenstein, P. Norring, C. Landén, M. Mortensen, P.B. Polimanti, R. McClintick, J.N. Adkins, A.E. Aliev, F. Bacanu, S.-A. Batzler, A. Bertelsen, S. Biernacka, J.M. Bigdeli, T.B. Chen, L.-S. Clarke, T.-K. Degenhardt, F. Docherty, A.R. Edwards, A.C. Foo, J.C. Fox, L. Frank, J. Hack, L.M. Hartmann, A.M. Hartz, S.M. Heilmann-Heimbach, S. Hodgkinson, C. Hoffmann, P. Hottenga, J.-J. Konte, B. Lahti, J. Lahti-Pulkkinen, M. Lai, D. Ligthart, L. Loukola, A. Maher, B.S. Mbarek, H. McIntosh, A.M. McQueen, M.B. Meyers, J.L. Milaneschi, Y. Palviainen, T. Peterson, R.E. Ryu, E. Saccone, N.L. Salvatore, J.E. Sanchez-Roige, S. Schwandt, M. Sherva, R. Streit, F. Strohmaier, J. Thomas, N. Wang, J.-C. Webb, B.T. Wedow, R. Wetherill, L. Wills, A.G. Zhou, H. Boardman, J.D. Chen, D. Choi, D.-S. Copeland, W.E. Culverhouse, R.C. Dahmen, N. Degenhardt, L. Domingue, B.W. Frye, M.A. Gäebel, W. Hayward, C. Ising, M. Keyes, M. Kiefer, F. Koller, G. Kramer, J. Kuperman, S. Lucae, S. Lynskey, M.T. Maier, W. Mann, K. Männistö, S. Müller-Myhsok, B. Murray, A.D. Nurnberger, J.I. Preuss, U. Räikkönen, K. Reynolds, M.D. Ridinger, M. Scherbaum, N. Schuckit, M.A. Soyka, M. Treutlein, J. Witt, S.H. Wodarz, N. Zill, P. Adkins, D.E. Boomsma, D.I. Bierut, L.J. Brown, S.A. Bucholz, K.K. Costello, E.J. de Wit, H. Diazgranados, N. Eriksson, J.G. Farrer, L.A. Foroud, T.M. Gillespie, N.A. Goate, A.M. Goldman, D. Grucza, R.A. Hancock, D.B. Harris, K.M. Hesselbrock, V. Hewitt, J.K. Hopfer, C.J. Iacono, W.G. Johnson, E.O. Karpyak, V.M. Kendler, K.S. Kranzler, H.R. Krauter, K. Lind, P.A. McGue, M. MacKillop, J. Madden, P.A.F. Maes, H.H. Magnusson, P.K.E. Nelson, E.C. Nöthen, M.M. Palmer, A.A. Penninx, B.W.J.H. Porjesz, B. Rice, J.P. Rietschel, M. Riley, B.P. Rose, R.J. Shen, P.-H. Silberg, J. Stallings, M.C. Tarter, R.E. Vanyukov, M.M. Vrieze, S. Wall, T.L. Whitfield, J.B. Zhao, H. Neale, B.M. Wade, T.D. Heath, A.C. Montgomery, G.W. Martin, N.G. Sullivan, P.F. Kaprio, J. Breen, G. Gelernter, J. Edenberg, H.J. Bulik, C.M. Agrawal, A.

Subjects
mental disorders
Abstract

Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [rg], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (rg = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (rg = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (rgs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotypes highlights the potentially complex and substance-specific relationships among these behaviors. © 2020 Society for the Study of Addiction

Published
2021

7. Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies

Author

Munn-Chernoff, MA, Johnson, EC, Chou, YL, Coleman, JRI, Thornton, LM, Walters, RK, Yilmaz, Z, Baker, JH, Hübel, C, Gordon, S, Medland, SE, Watson, HJ, Gaspar, HA, Bryois, J, Hinney, A, Leppä, VM, Mattheisen, M, Ripke, S, Yao, S, Giusti-Rodríguez, P, Hanscombe, KB, Adan, RAH, Alfredsson, L, Ando, T, Andreassen, OA, Berrettini, WH, Boehm, I, Boni, C, Boraska Perica, V, Buehren, K, Burghardt, R, Cassina, M, Cichon, S, Clementi, M, Cone, RD, Courtet, P, Crow, S, Crowley, JJ, Danner, UN, Davis, OS, Zwaan, M, Dedoussis, G, Degortes, D, DeSocio, JE, Dick, DM, Dikeos, D, Dina, C, Dmitrzak-Weglarz, M, Docampo, E, Duncan, LE, Egberts, K, Ehrlich, S, Escaramís, G, Esko, T, Estivill, X, Farmer, A, Favaro, A, Fernández-Aranda, F, Fichter, MM, Fischer, K, Föcker, M, Foretova, L, Forstner, AJ, Forzan, M, Franklin, CS, Gallinger, S, Giegling, I, Giuranna, J, Gonidakis, F, Gorwood, P, Gratacos Mayora, M, Guillaume, S, Guo, Y, Hakonarson, H, Hatzikotoulas, K, Hauser, J, Hebebrand, J, Helder, SG, Herms, S, Herpertz-Dahlmann, B, Herzog, W, Huckins, LM, Hudson, JI, Imgart, H, Inoko, H, Janout, V, Jiménez-Murcia, S, Julià, A, Kalsi, G, Kaminská, D, Karhunen, L, Karwautz, A, Kas, MJH, Kennedy, JL, Keski-Rahkonen, A, Kiezebrink, K, Kim, YR, Klump, KL, Knudsen, GP, La Via, MC, Le Hellard, S, Levitan, RD, Li, D, Lilenfeld, L, Lin, BD, Lissowska, J, Luykx, J, Magistretti, PJ, Maj, M, Mannik, K, Marsal, S, Marshall, CR, Mattingsdal, M, McDevitt, S, McGuffin, P, Metspalu, A, Meulenbelt, I, Micali, N, Mitchell, K, Monteleone, A M, Monteleone, P, Nacmias, B, Navratilova, M, Ntalla, I, O'Toole, JK, Ophoff, Roel, Padyukov, L, Palotie, A, Pantel, J, Papezova, H, Pinto, D, Rabionet, R, Raevuori, A, Ramoz, N, Reichborn-Kjennerud, T, Ricca, V, Ripatti, S, Ritschel, F, Roberts, M, Rotondo, A, Rujescu, D, Rybakowski, F, Santonastaso, P, Scherag, A, Scherer, SW, Schmidt, U, Schork, NJ, Schosser, A, Seitz, J, Slachtova, L, Slagboom, PE, Slof-Op't Landt, MCT, Slopien, A, Sorbi, S, ?wi?tkowska, B, Szatkiewicz, JP, Tachmazidou, I, Tenconi, E, Tortorella, A, Tozzi, F, Treasure, J, Tsitsika, A, Tyszkiewicz-Nwafor, M, Tziouvas, K, van Elburg, AA, van Furth, EF, Wagner, G, Walton, E, Widen, E, Zeggini, E, Zerwas, S, Zipfel, S, Bergen, AW, Boden, JM, Brandt, H, Crawford, S, Halmi, KA, Horwood, LJ, Johnson, C, Kaplan, AS, Kaye, WH, Mitchell, J E, Olsen, CM, Pearson, JF, Pedersen, NL, Strober, M, Werge, T, Whiteman, DC, Woodside, DB, Grove, J, Henders, AK, Larsen, J T, Parker, R, Petersen, LV, Jordan, J, Kennedy, MA, Birgegård, A, Lichtenstein, P, Norring, C, Landén, M, Mortensen, PB, Polimanti, R, McClintick, JN, Adkins, AE, Aliev, F, Bacanu, SA, Batzler, A, Bertelsen, S, Biernacka, JM, Bigdeli, TB, Chen, L S, Clarke, TK, Degenhardt, F, Docherty, AR, Edwards, AC, Foo, JC, Fox, L, Frank, J, Hack, LM, Hartmann, AM, Hartz, SM, Heilmann-Heimbach, S, Hodgkinson, C, Hoffmann, P, Hottenga, JJ, Konte, B, Lahti, J, Lahti-Pulkkinen, M, Lai, D, Ligthart, L, Loukola, A, Maher, BS, Mbarek, H, McIntosh, AM, McQueen, MB, Meyers, JL, Milaneschi, Y, Palviainen, T, Peterson, RE, Ryu, E, Saccone, N L, Salvatore, JE, Sanchez-Roige, S, Schwandt, M, Sherva, R, Streit, F, Strohmaier, J, Thomas, N, Wang, JCY, Webb, BT, Wedow, R, Wetherill, L, Wills, AG, Zhou, H, Boardman, JD, Chen, D, Choi, D S, Copeland, WE, Culverhouse, RC, Dahmen, N, Degenhardt, L, Domingue, BW, Frye, MA, Gäebel, W, Hayward, C, Ising, M, Keyes, M, Kiefer, F, Koller, G, Kramer, J (John), Kuperman, S, Lucae, S, Lynskey, MT, Maier, W, Mann, K, Männistö, S, Müller-Myhsok, B, Murray, AD, Nurnberger, JI, Preuss, U, Räikkönen, K, Reynolds, MD, Ridinger, M, Scherbaum, N, Schuckit, MA, Soyka, M, Treutlein, J, Witt, SH, Wodarz, N, Zill, P, Adkins, DE, Boomsma, DI, Bierut, LJ, Brown, S, Bucholz, KK, Costello, EJ, Wit, HJ, Diazgranados, N, Eriksson, JG, Farrer, LA, Foroud, TM, Gillespie, NA, Goate, AM, Goldman, D, Grucza, RA, Hancock, DB, Harris, KM, Hesselbrock, V, Hewitt, JK, Hopfer, CJ, Iacono, WG, Johnson, E O, Karpyak, VM, Kendler, KS, Kranzler, HR, Krauter, K, Lind, PA, McGue, M, MacKillop, J, Madden, PA, Maes, HH, Magnusson, PKE, Nelson, EC, Nöthen, MM, Palmer, AA, Penninx, BWJH, Porjesz, B, Rice, JP, Rietschel, M, Riley, BP, Rose, RJ, Shen, PH, Silberg, J, Stallings, MC, Tarter, RE, Vanyukov, MM, Vrieze, S, Wall, TL, Whitfield, JB, Zhao, H, Neale, BM, Wade, TD, Heath, AC, Montgomery, GW, Martin, NG, Sullivan, PF, Kaprio, J, Breen, G, Gelernter, J, Edenberg, HJ, Bulik, CM, Agrawal, A, Munn-Chernoff, MA, Johnson, EC, Chou, YL, Coleman, JRI, Thornton, LM, Walters, RK, Yilmaz, Z, Baker, JH, Hübel, C, Gordon, S, Medland, SE, Watson, HJ, Gaspar, HA, Bryois, J, Hinney, A, Leppä, VM, Mattheisen, M, Ripke, S, Yao, S, Giusti-Rodríguez, P, Hanscombe, KB, Adan, RAH, Alfredsson, L, Ando, T, Andreassen, OA, Berrettini, WH, Boehm, I, Boni, C, Boraska Perica, V, Buehren, K, Burghardt, R, Cassina, M, Cichon, S, Clementi, M, Cone, RD, Courtet, P, Crow, S, Crowley, JJ, Danner, UN, Davis, OS, Zwaan, M, Dedoussis, G, Degortes, D, DeSocio, JE, Dick, DM, Dikeos, D, Dina, C, Dmitrzak-Weglarz, M, Docampo, E, Duncan, LE, Egberts, K, Ehrlich, S, Escaramís, G, Esko, T, Estivill, X, Farmer, A, Favaro, A, Fernández-Aranda, F, Fichter, MM, Fischer, K, Föcker, M, Foretova, L, Forstner, AJ, Forzan, M, Franklin, CS, Gallinger, S, Giegling, I, Giuranna, J, Gonidakis, F, Gorwood, P, Gratacos Mayora, M, Guillaume, S, Guo, Y, Hakonarson, H, Hatzikotoulas, K, Hauser, J, Hebebrand, J, Helder, SG, Herms, S, Herpertz-Dahlmann, B, Herzog, W, Huckins, LM, Hudson, JI, Imgart, H, Inoko, H, Janout, V, Jiménez-Murcia, S, Julià, A, Kalsi, G, Kaminská, D, Karhunen, L, Karwautz, A, Kas, MJH, Kennedy, JL, Keski-Rahkonen, A, Kiezebrink, K, Kim, YR, Klump, KL, Knudsen, GP, La Via, MC, Le Hellard, S, Levitan, RD, Li, D, Lilenfeld, L, Lin, BD, Lissowska, J, Luykx, J, Magistretti, PJ, Maj, M, Mannik, K, Marsal, S, Marshall, CR, Mattingsdal, M, McDevitt, S, McGuffin, P, Metspalu, A, Meulenbelt, I, Micali, N, Mitchell, K, Monteleone, A M, Monteleone, P, Nacmias, B, Navratilova, M, Ntalla, I, O'Toole, JK, Ophoff, Roel, Padyukov, L, Palotie, A, Pantel, J, Papezova, H, Pinto, D, Rabionet, R, Raevuori, A, Ramoz, N, Reichborn-Kjennerud, T, Ricca, V, Ripatti, S, Ritschel, F, Roberts, M, Rotondo, A, Rujescu, D, Rybakowski, F, Santonastaso, P, Scherag, A, Scherer, SW, Schmidt, U, Schork, NJ, Schosser, A, Seitz, J, Slachtova, L, Slagboom, PE, Slof-Op't Landt, MCT, Slopien, A, Sorbi, S, ?wi?tkowska, B, Szatkiewicz, JP, Tachmazidou, I, Tenconi, E, Tortorella, A, Tozzi, F, Treasure, J, Tsitsika, A, Tyszkiewicz-Nwafor, M, Tziouvas, K, van Elburg, AA, van Furth, EF, Wagner, G, Walton, E, Widen, E, Zeggini, E, Zerwas, S, Zipfel, S, Bergen, AW, Boden, JM, Brandt, H, Crawford, S, Halmi, KA, Horwood, LJ, Johnson, C, Kaplan, AS, Kaye, WH, Mitchell, J E, Olsen, CM, Pearson, JF, Pedersen, NL, Strober, M, Werge, T, Whiteman, DC, Woodside, DB, Grove, J, Henders, AK, Larsen, J T, Parker, R, Petersen, LV, Jordan, J, Kennedy, MA, Birgegård, A, Lichtenstein, P, Norring, C, Landén, M, Mortensen, PB, Polimanti, R, McClintick, JN, Adkins, AE, Aliev, F, Bacanu, SA, Batzler, A, Bertelsen, S, Biernacka, JM, Bigdeli, TB, Chen, L S, Clarke, TK, Degenhardt, F, Docherty, AR, Edwards, AC, Foo, JC, Fox, L, Frank, J, Hack, LM, Hartmann, AM, Hartz, SM, Heilmann-Heimbach, S, Hodgkinson, C, Hoffmann, P, Hottenga, JJ, Konte, B, Lahti, J, Lahti-Pulkkinen, M, Lai, D, Ligthart, L, Loukola, A, Maher, BS, Mbarek, H, McIntosh, AM, McQueen, MB, Meyers, JL, Milaneschi, Y, Palviainen, T, Peterson, RE, Ryu, E, Saccone, N L, Salvatore, JE, Sanchez-Roige, S, Schwandt, M, Sherva, R, Streit, F, Strohmaier, J, Thomas, N, Wang, JCY, Webb, BT, Wedow, R, Wetherill, L, Wills, AG, Zhou, H, Boardman, JD, Chen, D, Choi, D S, Copeland, WE, Culverhouse, RC, Dahmen, N, Degenhardt, L, Domingue, BW, Frye, MA, Gäebel, W, Hayward, C, Ising, M, Keyes, M, Kiefer, F, Koller, G, Kramer, J (John), Kuperman, S, Lucae, S, Lynskey, MT, Maier, W, Mann, K, Männistö, S, Müller-Myhsok, B, Murray, AD, Nurnberger, JI, Preuss, U, Räikkönen, K, Reynolds, MD, Ridinger, M, Scherbaum, N, Schuckit, MA, Soyka, M, Treutlein, J, Witt, SH, Wodarz, N, Zill, P, Adkins, DE, Boomsma, DI, Bierut, LJ, Brown, S, Bucholz, KK, Costello, EJ, Wit, HJ, Diazgranados, N, Eriksson, JG, Farrer, LA, Foroud, TM, Gillespie, NA, Goate, AM, Goldman, D, Grucza, RA, Hancock, DB, Harris, KM, Hesselbrock, V, Hewitt, JK, Hopfer, CJ, Iacono, WG, Johnson, E O, Karpyak, VM, Kendler, KS, Kranzler, HR, Krauter, K, Lind, PA, McGue, M, MacKillop, J, Madden, PA, Maes, HH, Magnusson, PKE, Nelson, EC, Nöthen, MM, Palmer, AA, Penninx, BWJH, Porjesz, B, Rice, JP, Rietschel, M, Riley, BP, Rose, RJ, Shen, PH, Silberg, J, Stallings, MC, Tarter, RE, Vanyukov, MM, Vrieze, S, Wall, TL, Whitfield, JB, Zhao, H, Neale, BM, Wade, TD, Heath, AC, Montgomery, GW, Martin, NG, Sullivan, PF, Kaprio, J, Breen, G, Gelernter, J, Edenberg, HJ, Bulik, CM, and Agrawal, A

Abstract

Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [rg], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (rg = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (rg = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (rgs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotyp

Published
2021

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

Author

Quach, B.C., Bray, M.J., Gaddis, N.C., Liu, M., Palviainen, T., Minica, C.C., Zellers, S., Sherva, R., Aliev, F., Nothnagel, M., Young, K.A., Marks, J., Young, H., Guo, Y., Waldrop, A., Sey, N., Landi, M.T., McNeil, D.W., Farrer, L.A., Markunas, C.A., Vink, J.M., Hottenga, J.J., Iacono, W.G., Kranzler, H.R., Saccone, N.L., Neale, M.C., Madden, P.A.F., Rietschel, M., Marazita, M.L., McGue, M.K., Won, H., Winterer, G., Grucza, R.A., Dick, D.M., Gelernter, J., Caporaso, N.E., Baker, T.B., Boomsma, D.I., Kaprio, J., Hokanson, J.E., Vrieze, S., Bierut, L.J., Johnson, E.O., Hancock, D.B., Quach, B.C., Bray, M.J., Gaddis, N.C., Liu, M., Palviainen, T., Minica, C.C., Zellers, S., Sherva, R., Aliev, F., Nothnagel, M., Young, K.A., Marks, J., Young, H., Guo, Y., Waldrop, A., Sey, N., Landi, M.T., McNeil, D.W., Farrer, L.A., Markunas, C.A., Vink, J.M., Hottenga, J.J., Iacono, W.G., Kranzler, H.R., Saccone, N.L., Neale, M.C., Madden, P.A.F., Rietschel, M., Marazita, M.L., McGue, M.K., Won, H., Winterer, G., Grucza, R.A., Dick, D.M., Gelernter, J., Caporaso, N.E., Baker, T.B., Boomsma, D.I., Kaprio, J., Hokanson, J.E., Vrieze, S., Bierut, L.J., Johnson, E.O., and Hancock, D.B.

Abstract

Contains fulltext : 276901.pdf (Publisher’s version ) (Open Access), Cigarette smoking is the leading cause of preventable morbidity and mortality. Genetic variation contributes to initiation, regular smoking, nicotine dependence, and cessation. We present a Fagerström Test for Nicotine Dependence (FTND)-based genome-wide association study in 58,000 European or African ancestry smokers. We observe five genome-wide significant loci, including previously unreported loci MAGI2/GNAI1 (rs2714700) and TENM2 (rs1862416), and extend loci reported for other smoking traits to nicotine dependence. Using the heaviness of smoking index from UK Biobank (N = 33,791), rs2714700 is consistently associated; rs1862416 is not associated, likely reflecting nicotine dependence features not captured by the heaviness of smoking index. Both variants influence nearby gene expression (rs2714700/MAGI2-AS3 in hippocampus; rs1862416/TENM2 in lung), and expression of genes spanning nicotine dependence-associated variants is enriched in cerebellum. Nicotine dependence (SNP-based heritability = 8.6%) is genetically correlated with 18 other smoking traits (rg = 0.40–1.09) and co-morbidities. Our results highlight nicotine dependence-specific loci, emphasizing the FTND as a composite phenotype that expands genetic knowledge of smoking

Published
2020

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

Author

Minica, C.C., Verweij, K.J.H., Most, P.J. van der, Mbarek, H., Bernard, M., Eijk, K.R. van, Lind, P.A., Liu, M.Z., Maciejewski, D.F., Palviainen, T., Sánchez-Mora, C., Sherva, R., Taylor, M., Walters, R.K., Abdellaoui, A., Bigdeli, T.B., Branje, S.J.T., Brown, S.A., Casas, M., Corley, R.P., Smith, G.D., Davies, G.E., Ehli, E.A., Farrer, L.A., Fedko, I.O., Garcia-Martinez, I., Gordon, S.D., Hartman, C.A., Heath, A.C., Hickie, I.B., Hickman, M., Hopfer, C.J., Hottenga, J.J., Kahn, R.S., Kaprio, J., Korhonen, T., Kranzler, H.R., Krauter, K., Lier, P.A.C. van, Madden, P.A.F., Medland, S.E., Neale, M.C., Meeus, W.H.J., Montgomery, G.W., Nolte, I.M., Oldehinkel, A.J., Pausova, Z., Ramos-Quiroga, J.A., Richarte, V., Rose, R.J., Shin, J., Stallings, M.C., Wall, T.L., Ware, J.J., Wright, M.J., Zhao, H., Koot, J.M., Paus, T., Hewitt, J.K., Ribasés, M., Loukola, A., Boks, M.P.M., Snieder, H., Munafò, M.R., Gelernter, J., Boomsma, D.I., Martin, N.G., Gillespie, N.A., Vink, J.M., Derks, E.M., Minica, C.C., Verweij, K.J.H., Most, P.J. van der, Mbarek, H., Bernard, M., Eijk, K.R. van, Lind, P.A., Liu, M.Z., Maciejewski, D.F., Palviainen, T., Sánchez-Mora, C., Sherva, R., Taylor, M., Walters, R.K., Abdellaoui, A., Bigdeli, T.B., Branje, S.J.T., Brown, S.A., Casas, M., Corley, R.P., Smith, G.D., Davies, G.E., Ehli, E.A., Farrer, L.A., Fedko, I.O., Garcia-Martinez, I., Gordon, S.D., Hartman, C.A., Heath, A.C., Hickie, I.B., Hickman, M., Hopfer, C.J., Hottenga, J.J., Kahn, R.S., Kaprio, J., Korhonen, T., Kranzler, H.R., Krauter, K., Lier, P.A.C. van, Madden, P.A.F., Medland, S.E., Neale, M.C., Meeus, W.H.J., Montgomery, G.W., Nolte, I.M., Oldehinkel, A.J., Pausova, Z., Ramos-Quiroga, J.A., Richarte, V., Rose, R.J., Shin, J., Stallings, M.C., Wall, T.L., Ware, J.J., Wright, M.J., Zhao, H., Koot, J.M., Paus, T., Hewitt, J.K., Ribasés, M., Loukola, A., Boks, M.P.M., Snieder, H., Munafò, M.R., Gelernter, J., Boomsma, D.I., Martin, N.G., Gillespie, N.A., Vink, J.M., and Derks, E.M.

Abstract

Contains fulltext : 195854.pdf (publisher's version ) (Closed access), Background and aims: Cannabis is one of the most commonly used substances among adolescents and young adults. Earlier age at cannabis initiation is linked to adverse life outcomes including multi-substance use and dependence. This study estimated the heritability of age at first cannabis use and identify associations with genetic variants. Methods: A twin-based heritability analysis using 8,055 twins from three cohorts was performed. We then carried-out a genome wide survival meta-analysis of age at first cannabis use in a discovery sample of 24,953 individuals from nine European, North American, and Australian cohorts, and a replication sample of 3,735 individuals. Results: The twin-based heritability for age at first cannabis use was 38% (95% confidence interval [CI] 19-60%). Shared and unique environmental factors explained 39% (95% CI 20-56%) and 22% (95% CI 16-29%). The genome wide survival meta-analysis identified five SNPs on chromosome 16 within the Calcium-transporting ATPase gene (ATP2C2) at P < 5E-08. All five SNPs are in high LD (r2>0.8) with the strongest association at the intronic variant rs1574587 (P=4.09E-09). Gene-based tests of association identified the ATP2C2 gene on 16q24.1 (P=1.33e-06). Although the five SNPs and ATP2C2 did not replicate, ATP2C2 has been associated with cocaine dependence in a previous study. ATP2B2, which is a member of the same calcium signalling pathway, has been previously associated with opioid dependence. SNP-based heritability for age at first cannabis use was non-significant. Conclusion: Age at cannabis initiation appears to be moderately heritable in Western countries, and individual differences in onset can be explained by separate but correlated genetic liabilities. The significant association between age of initiation and ATP2C2 is consistent with the role of calcium signalling mechanisms in substance use disorders.

Published
2018

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

Author

Hancock, D.B., Guo, Y., Reginsson, G.W., Gaddis, N.C., Lutz, S.M., Sherva, R., Loukola, A., Minica, C.C., Markunas, C.A., Han, Y., Young, K.A., Gudbjartsson, D.F., Gu, F., McNeil, D.W., Qaiser, B., Glasheen, C., Olson, S., Landi, M.T., Madden, P.A.F., Farrer, L.A., Vink, J.M., Saccone, N.L., Neale, M.C., Kranzler, H.R., McKay, J., Hung, R.J., Amos, C.I., Marazita, M.L., Boomsma, D.I., Baker, T.B., Gelernter, J., Kaprio, J., Caporaso, N.E., Thorgeirsson, T.E., Hokanson, J.E., Bierut, L.J., Stefansson, K., Johnson, E.O., Hancock, D.B., Guo, Y., Reginsson, G.W., Gaddis, N.C., Lutz, S.M., Sherva, R., Loukola, A., Minica, C.C., Markunas, C.A., Han, Y., Young, K.A., Gudbjartsson, D.F., Gu, F., McNeil, D.W., Qaiser, B., Glasheen, C., Olson, S., Landi, M.T., Madden, P.A.F., Farrer, L.A., Vink, J.M., Saccone, N.L., Neale, M.C., Kranzler, H.R., McKay, J., Hung, R.J., Amos, C.I., Marazita, M.L., Boomsma, D.I., Baker, T.B., Gelernter, J., Kaprio, J., Caporaso, N.E., Thorgeirsson, T.E., Hokanson, J.E., Bierut, L.J., Stefansson, K., and Johnson, E.O.

Abstract

Item does not contain fulltext, Cigarette smoking is a leading cause of preventable mortality worldwide. Nicotine dependence, which reduces the likelihood of quitting smoking, is a heritable trait with firmly established associations with sequence variants in nicotine acetylcholine receptor genes and at other loci. To search for additional loci, we conducted a genome-wide association study (GWAS) meta-analysis of nicotine dependence, totaling 38,602 smokers (28,677 Europeans/European Americans and 9925 African Americans) across 15 studies. In this largest-ever GWAS meta-analysis for nicotine dependence and the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-CHRNA3-CHRNB4 genes and further yielded a novel association in the DNA methyltransferase gene DNMT3B. The intronic DNMT3B rs910083-C allele (frequency=44-77%) was associated with increased risk of nicotine dependence at P=3.7 [times] 10-8 (odds ratio (OR)=1.06 and 95% confidence interval (CI)=1.04-1.07 for severe vs mild dependence). The association was independently confirmed in the UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6 [times] 10-4, OR=1.05, and 95% CI=1.02-1.08). Rs910083-C is also associated with increased risk of squamous cell lung carcinoma in the International Lung Cancer Consortium (N=60,586, meta-analysis P=0.0095, OR=1.05, and 95% CI=1.01-1.09). Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation in fetal brain (N=166, P=2.3 [times] 10-26) and a cis-expression QTL variant associated with higher DNMT3B expression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0 [times] 10-6) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking and consequent lung cancer.

Published
2018

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

Author

Hancock, D. B., Guo, Y., Reginsson, G. W., Gaddis, N. C., Lutz, S. M., Sherva, R., Loukola, A., Minica, C. C., Markunas, C. A., Han, Y., Young, K. A., Gudbjartsson, D. F., Gu, F., McNeil, D. W., Qaiser, B., Glasheen, C., Olson, S., Landi, M. T., Madden, P. A.F., Farrer, L. A., Vink, J., Saccone, N. L., Neale, M. C., Kranzler, H. R., McKay, J., Hung, R. J., Amos, C. I., Marazita, M. L., Boomsma, D. I., Baker, T. B., Gelernter, J., Kaprio, J., Caporaso, N. E., Thorgeirsson, T. E., Hokanson, J. E., Bierut, L. J., Stefansson, K., Johnson, E. O., Hancock, D. B., Guo, Y., Reginsson, G. W., Gaddis, N. C., Lutz, S. M., Sherva, R., Loukola, A., Minica, C. C., Markunas, C. A., Han, Y., Young, K. A., Gudbjartsson, D. F., Gu, F., McNeil, D. W., Qaiser, B., Glasheen, C., Olson, S., Landi, M. T., Madden, P. A.F., Farrer, L. A., Vink, J., Saccone, N. L., Neale, M. C., Kranzler, H. R., McKay, J., Hung, R. J., Amos, C. I., Marazita, M. L., Boomsma, D. I., Baker, T. B., Gelernter, J., Kaprio, J., Caporaso, N. E., Thorgeirsson, T. E., Hokanson, J. E., Bierut, L. J., Stefansson, K., and Johnson, E. O.

Abstract

Cigarette smoking is a leading cause of preventable mortality worldwide. Nicotine dependence, which reduces the likelihood of quitting smoking, is a heritable trait with firmly established associations with sequence variants in nicotine acetylcholine receptor genes and at other loci. To search for additional loci, we conducted a genome-wide association study (GWAS) meta-analysis of nicotine dependence, totaling 38,602 smokers (28,677 Europeans/European Americans and 9925 African Americans) across 15 studies. In this largest-ever GWAS meta-analysis for nicotine dependence and the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-CHRNA3-CHRNB4 genes and further yielded a novel association in the DNA methyltransferase gene DNMT3B. The intronic DNMT3B rs910083-C allele (frequency=44–77%) was associated with increased risk of nicotine dependence at P=3.7 × 10−8 (odds ratio (OR)=1.06 and 95% confidence interval (CI)=1.04–1.07 for severe vs mild dependence). The association was independently confirmed in the UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6 × 10−4, OR=1.05, and 95% CI=1.02–1.08). Rs910083-C is also associated with increased risk of squamous cell lung carcinoma in the International Lung Cancer Consortium (N=60,586, meta-analysis P=0.0095, OR=1.05, and 95% CI=1.01–1.09). Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation in fetal brain (N=166, P=2.3 × 10−26) and a cis-expression QTL variant associated with higher DNMT3B expression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0 × 10−6) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking and co

Published
2018
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13. Genome-wide association study identifies a novel locus for cannabis dependence

Author

Agrawal, A, Chou, Y-L, Carey, CE, Baranger, DAA, Zhang, B, Sherva, R, Wetherill, L, Kapoor, M, Wang, J-C, Bertelsen, S, Anokhin, AP, Hesselbrock, V, Kramer, J, Lynskey, MT, Meyers, JL, Nurnberger, JI, Rice, JP, Tischfield, J, Bierut, LJ, Degenhardt, L, Farrer, LA, Gelernter, J, Hariri, AR, Heath, AC, Kranzler, HR, Madden, PAF, Martin, NG, Montgomery, GW, Porjesz, B, Wang, T, Whitfield, JB, Edenberg, HJ, Foroud, T, Goate, AM, Bogdan, R, Nelson, EC, Agrawal, A, Chou, Y-L, Carey, CE, Baranger, DAA, Zhang, B, Sherva, R, Wetherill, L, Kapoor, M, Wang, J-C, Bertelsen, S, Anokhin, AP, Hesselbrock, V, Kramer, J, Lynskey, MT, Meyers, JL, Nurnberger, JI, Rice, JP, Tischfield, J, Bierut, LJ, Degenhardt, L, Farrer, LA, Gelernter, J, Hariri, AR, Heath, AC, Kranzler, HR, Madden, PAF, Martin, NG, Montgomery, GW, Porjesz, B, Wang, T, Whitfield, JB, Edenberg, HJ, Foroud, T, Goate, AM, Bogdan, R, and Nelson, EC

Abstract

Despite moderate heritability, only one study has identified genome-wide significant loci for cannabis-related phenotypes. We conducted meta-analyses of genome-wide association study data on 2080 cannabis-dependent cases and 6435 cannabis-exposed controls of European descent. A cluster of correlated single-nucleotide polymorphisms (SNPs) in a novel region on chromosome 10 was genome-wide significant (lowest P=1.3E-8). Among the SNPs, rs1409568 showed enrichment for H3K4me1 and H3K427ac marks, suggesting its role as an enhancer in addiction-relevant brain regions, such as the dorsolateral prefrontal cortex and the angular and cingulate gyri. This SNP is also predicted to modify binding scores for several transcription factors. We found modest evidence for replication for rs1409568 in an independent cohort of African American (896 cases and 1591 controls; P=0.03) but not European American (EA; 781 cases and 1905 controls) participants. The combined meta-analysis (3757 cases and 9931 controls) indicated trend-level significance for rs1409568 (P=2.85E-7). No genome-wide significant loci emerged for cannabis dependence criterion count (n=8050). There was also evidence that the minor allele of rs1409568 was associated with a 2.1% increase in right hippocampal volume in an independent sample of 430 EA college students (fwe-P=0.008). The identification and characterization of genome-wide significant loci for cannabis dependence is among the first steps toward understanding the biological contributions to the etiology of this psychiatric disorder, which appears to be rising in some developed nations.

Published
2018

14. Population-specific risk of type 2 diabetes conferred by HNF4A P2 promoter variants: a lesson for replication studies

Author

Barroso, I, Luan, J, Wheeler, E, Whittaker, P, Wasson, J, Zeggini, E, Weedon, MN, Hunt, S, Venkatesh, R, Frayling, TM, Delgado, M, Neuman, RJ, Zhao, J, Sherva, R, Glaser, B, Walker, M, Hitman, G, McCarthy, MI, Hattersley, AT, Permutt, MA, Wareham, NJ, and Deloukas, P

Abstract

OBJECTIVE: Single nucleotide polymorphisms (SNPs) in the P2 promoter region of HNF4A were originally shown to be associated with predisposition for type 2 diabetes in Finnish, Ashkenazi, and, more recently, Scandinavian populations, but they generated conflicting results in additional populations. We aimed to investigate whether data from a large-scale mapping approach would replicate this association in novel Ashkenazi samples and in U.K. populations and whether these data would allow us to refine the association signal. RESEARCH DESIGN AND METHODS: Using a dense linkage disequilibrium map of 20q, we selected SNPs from a 10-Mb interval centered on HNF4A. In a staged approach, we first typed 4,608 SNPs in case-control populations from four U.K. populations and an Ashkenazi population (n = 2,516). In phase 2, a subset of 763 SNPs was genotyped in 2,513 additional samples from the same populations. RESULTS: Combined analysis of both phases demonstrated association between HNF4A P2 SNPs (rs1884613 and rs2144908) and type 2 diabetes in the Ashkenazim (n = 991; P < 1.6 x 10(-6)). Importantly, these associations are significant in a subset of Ashkenazi samples (n = 531) not previously tested for association with P2 SNPs (odds ratio [OR] approximately 1.7; P < 0.002), thus providing replication within the Ashkenazim. In the U.K. populations, this association was not significant (n = 4,022; P > 0.5), and the estimate for the OR was much smaller (OR 1.04; [95%CI 0.91-1.19]). CONCLUSIONS: These data indicate that the risk conferred by HNF4A P2 is significantly different between U.K. and Ashkenazi populations (P < 0.00007), suggesting that the underlying causal variant remains unidentified. Interactions with other genetic or environmental factors may also contribute to this difference in risk between populations.

Published
2016

15. Genetic Relationship between Schizophrenia and Nicotine Dependence

Author

Chen, Jingchun, Bacanu, S. A., Yu, H., Zhao, Z., Jia, P., Kendler, K. S., Kranzler, H. R., Gelernter, J., Farrer, L., Minica, C., Pool, R., Milaneschi, Y., Boomsma, D. I., Penninx, B. W., Tyndale, R. F., Ware, J. J., Vink, J. M., Kaprio, Jaakko, Munafo, M., Chen, X., Loukola, Anu, Mangino, M., Menni, C., Chen, J., Peterson, R., Auro, Kirsi, Lyytikäinen, Leo-Pekka, Wedenoja, Juho, Stiby, A. I., Hemani, G., Willemsen, G., Hottenga, J. J., Korhonen, Tellervo, Heliövaara, Markku, Perola, Markus, Rose, R., Paternoster, L., Timpson, N., Wassenaar, C. A., Zhu, A. Z., Smith, G. D., Raitakari, Olli, Lehtimäki, Terho, Kähönen, Mika, Koskinen, Seppo, Spector, T., Salomaa, Veikko, Taylor, M., Maes, H., Riley, B., Sherva, R., Maher, B., Vanyukov, M., Biological Psychology, EMGO+ - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Sociology and Social Gerontology, Psychiatry, EMGO - Mental health, Amsterdam Neuroscience - Complex Trait Genetics, Institute for Molecular Medicine Finland, Department of Public Health, and Genetic Epidemiology

Subjects
Male, Netherlands Twin Register (NTR), 0301 basic medicine, Genome-wide association study, Brain and Behaviour, Bioinformatics, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, Polymorphism (computer science), Gene Regulatory Networks, Cotinine, RISK, Genetics, Multidisciplinary, Tobacco and Alcohol, COMMON VARIANTS, BIPOLAR DISORDER, Tobacco Use Disorder, 3142 Public health care science, environmental and occupational health, FALSE DISCOVERY RATE, 3. Good health, Schizophrenia, Female, LONG-TERM POTENTIATION, SMOKERS, Signal Transduction, Fagerstrom Test for Nicotine Dependence, RBFOX1, Biology, Polymorphism, Single Nucleotide, Risk Assessment, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, mental disorders, medicine, Humans, SMOKING-BEHAVIOR, TOBACCO SMOKING, Bipolar disorder, GENOME-WIDE ASSOCIATION, Gene, RECEPTOR SUBUNIT GENE, ta1184, medicine.disease, ta3124, 030104 developmental biology, chemistry, 3111 Biomedicine, Developmental Psychopathology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

It is well known that most schizophrenia patients smoke cigarettes. There are different hypotheses postulating the underlying mechanisms of this comorbidity. We used summary statistics from large meta-analyses of plasma cotinine concentration (COT), Fagerström test for nicotine dependence (FTND) and schizophrenia to examine the genetic relationship between these traits. We found that schizophrenia risk scores calculated at P-value thresholds of 5 × 10−3 and larger predicted FTND and cigarettes smoked per day (CPD), suggesting that genes most significantly associated with schizophrenia were not associated with FTND/CPD, consistent with the self-medication hypothesis. The COT risk scores predicted schizophrenia diagnosis at P-values of 5 × 10−3 and smaller, implying that genes most significantly associated with COT were associated with schizophrenia. These results implicated that schizophrenia and FTND/CPD/COT shared some genetic liability. Based on this shared liability, we identified multiple long non-coding RNAs and RNA binding protein genes (DA376252, BX089737, LOC101927273, LINC01029, LOC101928622, HY157071, DA902558, RBFOX1 and TINCR), protein modification genes (MANBA, UBE2D3, and RANGAP1) and energy production genes (XYLB, MTRF1 and ENOX1) that were associated with both conditions. Further analyses revealed that these shared genes were enriched in calcium signaling, long-term potentiation and neuroactive ligand-receptor interaction pathways that played a critical role in cognitive functions and neuronal plasticity.

Published
2016

16. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Stringer, S., Minică, C. C., Verweij, K. J.H., Mbarek, Hamdi, Bernard, M., Derringer, Jaime, van Eijk, K. R., Isen, J. D., Loukola, Anu, Maciejewski, D. F., Mihailov, E., van der Most, Peter J., Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R.G., Ware, James S., Abdellaoui, A., Bigdeli, T. B., Branje, S. J.T., Brown, A.S., Bruinenberg, M., Casas, M., Esko, Tonu, Garcia-Martinez, I., Gordon, Scott D., Harris, Juliette M, Hartman, Catharine A, Henders, Anjali K., Heath, Andrew C., Hickie, Ian B., Hickman, M., Hopfer, C. J., Hottenga, J.J., Huizink, A.C., Irons, D. E., Kahn, R. S., Korhonen, T.K., Kranzler, H. R., Krauter, K., van Lier, P.A.C., Lubke, G.H., Madden, Pamela A. F., Mägi, Reedik, McGue, M. K., Medland, Sarah E., Meeus, W.H.J., Miller, Michael B., Montgomery, Grant W., Nivard, Michel G, Nolte, Ilja M., Oldehinkel, Albertine J., Pausova, Zdenka, Qaiser, B., Quaye, Lydia, Ramos-Quiroga, J. A., Richarte, V., Rose, R.J., Shin, J.J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, Margaret J., Koot, H.M., Paus, T., Hewitt, J. K., Ribasés, M., Kaprio, Jaakko, Boks, M. P., Snieder, H., Spector, T.D., Munafò, M. R., Metspalu, A., Gelernter, J., Boomsma, Dorret I., Iacono, William G, Martin, Nicholas G., Gillespie, N. A., Derks, Eske M., and Vink, J. M.

Subjects
Cellular and Molecular Neuroscience, Psychiatry and Mental health, Research Support, N.I.H., Extramural, Journal Article, Biological Psychiatry, Research Support, U.S. Gov't, Non-P.H.S, Meta-Analysis
Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32 330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P

Published
2016

17. Genome-wide association study identifies a novel locus for cannabis dependence

Author

Agrawal, A, primary, Chou, Y-L, additional, Carey, C E, additional, Baranger, D A A, additional, Zhang, B, additional, Sherva, R, additional, Wetherill, L, additional, Kapoor, M, additional, Wang, J-C, additional, Bertelsen, S, additional, Anokhin, A P, additional, Hesselbrock, V, additional, Kramer, J, additional, Lynskey, M T, additional, Meyers, J L, additional, Nurnberger, J I, additional, Rice, J P, additional, Tischfield, J, additional, Bierut, L J, additional, Degenhardt, L, additional, Farrer, L A, additional, Gelernter, J, additional, Hariri, A R, additional, Heath, A C, additional, Kranzler, H R, additional, Madden, P A F, additional, Martin, N G, additional, Montgomery, G W, additional, Porjesz, B, additional, Wang, T, additional, Whitfield, J B, additional, Edenberg, H J, additional, Foroud, T, additional, Goate, A M, additional, Bogdan, R, additional, and Nelson, E C, additional

Published
2017
Full Text
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18. Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence

Author

Hancock, D B, primary, Guo, Y, additional, Reginsson, G W, additional, Gaddis, N C, additional, Lutz, S M, additional, Sherva, R, additional, Loukola, A, additional, Minica, C C, additional, Markunas, C A, additional, Han, Y, additional, Young, K A, additional, Gudbjartsson, D F, additional, Gu, F, additional, McNeil, D W, additional, Qaiser, B, additional, Glasheen, C, additional, Olson, S, additional, Landi, M T, additional, Madden, P A F, additional, Farrer, L A, additional, Vink, J, additional, Saccone, N L, additional, Neale, M C, additional, Kranzler, H R, additional, McKay, J, additional, Hung, R J, additional, Amos, C I, additional, Marazita, M L, additional, Boomsma, D I, additional, Baker, T B, additional, Gelernter, J, additional, Kaprio, J, additional, Caporaso, N E, additional, Thorgeirsson, T E, additional, Hokanson, J E, additional, Bierut, L J, additional, Stefansson, K, additional, and Johnson, E O, additional

Published
2017
Full Text
View/download PDF

19. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32330 subjects from the International Cannabis Consortium

Author

Stringer, S., Minica, C.C., Verweij, K.J.H., Mbarek, H., Bernard, M., Derringer, J.L., Eijk, K.R. van, Isen, J.D., Loukola, A., Maciejewski, D.F., Mihailov, E., Most, P.J. van der, Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J.J., Abdellaoui, A., Bigdeli, T.B., Branje, S.J.T., Brown, S.A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S.D., Harris, J.M., Hartman, C.A., Henders, A.K., Heath, A.C., Hickie, I.B., Hickman, M., Hopfer, C.J., Hottenga, J.J., Huizink, A.C., Irons, D.E., Kahn, R.S., Korhonen, T., Kranzler, H.R., Krauter, K., Lier, P.A.C. van, Lubke, G.H., Madden, P.A.F., Mägi, R., McGue, M.K., Medland, S.E., Meeus, W.H.J., Miller, M.B., Montgomery, G.W., Nivard, M.G., Nolte, I.M., Oldehinkel, A.J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J.A., Richarte, V., Rose, R.J., Shin, J., Stallings, M.C., Stiby, A.I., Wall, T.L., Wright, M.J., Koot, J.M., Paus, T., Hewitt, J.K., Ribasés, M., Kaprio, J., Boks, M.P.M., Snieder, H., Spector, T., Munafò, M.R., Metspalu, A., Gelernter, J., Boomsma, D.I., Iacono, W.G., Martin, N.G., Gillespie, N.A., Derks, E.M., Vink, J.M., Stringer, S., Minica, C.C., Verweij, K.J.H., Mbarek, H., Bernard, M., Derringer, J.L., Eijk, K.R. van, Isen, J.D., Loukola, A., Maciejewski, D.F., Mihailov, E., Most, P.J. van der, Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J.J., Abdellaoui, A., Bigdeli, T.B., Branje, S.J.T., Brown, S.A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S.D., Harris, J.M., Hartman, C.A., Henders, A.K., Heath, A.C., Hickie, I.B., Hickman, M., Hopfer, C.J., Hottenga, J.J., Huizink, A.C., Irons, D.E., Kahn, R.S., Korhonen, T., Kranzler, H.R., Krauter, K., Lier, P.A.C. van, Lubke, G.H., Madden, P.A.F., Mägi, R., McGue, M.K., Medland, S.E., Meeus, W.H.J., Miller, M.B., Montgomery, G.W., Nivard, M.G., Nolte, I.M., Oldehinkel, A.J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J.A., Richarte, V., Rose, R.J., Shin, J., Stallings, M.C., Stiby, A.I., Wall, T.L., Wright, M.J., Koot, J.M., Paus, T., Hewitt, J.K., Ribasés, M., Kaprio, J., Boks, M.P.M., Snieder, H., Spector, T., Munafò, M.R., Metspalu, A., Gelernter, J., Boomsma, D.I., Iacono, W.G., Martin, N.G., Gillespie, N.A., Derks, E.M., and Vink, J.M.

Abstract

Contains fulltext : 156357.pdf (publisher's version ) (Open Access), Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P<0.001) of the liability of lifetime cannabis use. Finally, there was a strong genetic correlation (rg=0.83; P=1.85 × 10-8) between lifetime cannabis use and lifetime cigarette smoking implying that the SNP effect sizes of the two traits are highly correlated. This is the largest meta-analysis of cannabis GWA studies to date, revealing important new insights into the genetic pathways of lifetime cannabis use. Future functional studies should explore the impact of the identified genes on the biological mechanisms of cannabis use.

Published
2016

20. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32330 subjects from the International Cannabis Consortium

Author

University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, Stringer, S., Minica, C. C., Verweij, K. J. H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K. R., Isen, J. D., Loukola, A., Maciejewski, D. F., Mihailov, E., van der Most, P. J., Sanchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J. J., Abdellaoui, A., Bigdeli, T. B., Branje, S. J. T., Brown, S. A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S. D., Harris, J. M., Hartman, C. A., Henders, A. K., Heath, A. C., Hickie, I. B., Hickman, M., Hopfer, C. J., Hottenga, J. J., Huizink, A. C., Irons, D. E., Kahn, R. S., Korhonen, T., Kranzler, H. R., Krauter, K., van Lier, P. A. C., Lubke, G. H., Madden, P. A. F., Magi, R., McGue, M. K., Medland, S. E., Meeus, W. H. J., Miller, M. B., Montgomery, G. W., Nivard, M. G., Nolte, I. M., Oldehinkel, A. J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J. A., Richarte, V., Rose, R. J., Shin, J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, M. J., Koot, H. M., Paus, T., Hewitt, J. K., Ribases, M., Kaprio, J., Boks, M. P., Snieder, H., Spector, T., Munafo, M. R., Metspalu, A., Gelernter, J., Boomsma, D. I., Iacono, W. G., Martin, N. G., Gillespie, N. A., Derks, E. M., Vink, J. M., University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, Stringer, S., Minica, C. C., Verweij, K. J. H., Mbarek, H., Bernard, M., Derringer, J., van Eijk, K. R., Isen, J. D., Loukola, A., Maciejewski, D. F., Mihailov, E., van der Most, P. J., Sanchez-Mora, C., Roos, L., Sherva, R., Walters, R., Ware, J. J., Abdellaoui, A., Bigdeli, T. B., Branje, S. J. T., Brown, S. A., Bruinenberg, M., Casas, M., Esko, T., Garcia-Martinez, I., Gordon, S. D., Harris, J. M., Hartman, C. A., Henders, A. K., Heath, A. C., Hickie, I. B., Hickman, M., Hopfer, C. J., Hottenga, J. J., Huizink, A. C., Irons, D. E., Kahn, R. S., Korhonen, T., Kranzler, H. R., Krauter, K., van Lier, P. A. C., Lubke, G. H., Madden, P. A. F., Magi, R., McGue, M. K., Medland, S. E., Meeus, W. H. J., Miller, M. B., Montgomery, G. W., Nivard, M. G., Nolte, I. M., Oldehinkel, A. J., Pausova, Z., Qaiser, B., Quaye, L., Ramos-Quiroga, J. A., Richarte, V., Rose, R. J., Shin, J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, M. J., Koot, H. M., Paus, T., Hewitt, J. K., Ribases, M., Kaprio, J., Boks, M. P., Snieder, H., Spector, T., Munafo, M. R., Metspalu, A., Gelernter, J., Boomsma, D. I., Iacono, W. G., Martin, N. G., Gillespie, N. A., Derks, E. M., and Vink, J. M.

Abstract

Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N = 32 330) and four replication samples (N = 5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use.

Published
2016

21. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Adolescent development: Characteristics and determinants, Afd culturele antropologie, Leerstoel Branje, Leerstoel Meeus, Sub Biomol.Mass Spectrometry & Proteom., Sub High energy Astrophysics begr 1/1/15, Stringer, S, Minică, C C, Verweij, K J H, Mbarek, H, Bernard, M, Derringer, J, van Eijk, K R, Isen, J D, Loukola, A, Maciejewski, Dominique F., Mihailov, E, van der Most, P J, Sánchez-Mora, C, Roos, L, Sherva, R, Walters, R, Ware, J J, Abdellaoui, A, Bigdeli, T B, Branje, S J T, Brown, S A, Bruinenberg, M, Casas, M, Esko, T, Garcia-Martinez, I, Gordon, S D, Harris, J M, Hartman, C A, Henders, A K, Heath, A C, Hickie, I B, Hickman, M, Hopfer, C J, Hottenga, J J, Huizink, A C, Irons, D E, Kahn, R S, Korhonen, T, Kranzler, H R, Krauter, K, van Lier, P A C, Lubke, G H, Madden, P A F, Mägi, R, McGue, M K, Medland, S E, Meeus, W H J, Miller, M B, Montgomery, G W, Nivard, M G, Nolte, I M, Oldehinkel, A J, Pausova, Z, Qaiser, B, Quaye, L, Ramos-Quiroga, J A, Richarte, V, Rose, R J, Shin, J, Stallings, M C, Stiby, A I, Wall, T L, Wright, M J, Koot, H M, Paus, T, Hewitt, J K, Ribasés, M, Kaprio, J, Boks, M P, Snieder, H, Spector, T, Munafò, M R, Metspalu, A, Gelernter, J, Boomsma, D I, Iacono, W G, Martin, N G, Gillespie, N A, Derks, E M, Vink, J M, Adolescent development: Characteristics and determinants, Afd culturele antropologie, Leerstoel Branje, Leerstoel Meeus, Sub Biomol.Mass Spectrometry & Proteom., Sub High energy Astrophysics begr 1/1/15, Stringer, S, Minică, C C, Verweij, K J H, Mbarek, H, Bernard, M, Derringer, J, van Eijk, K R, Isen, J D, Loukola, A, Maciejewski, Dominique F., Mihailov, E, van der Most, P J, Sánchez-Mora, C, Roos, L, Sherva, R, Walters, R, Ware, J J, Abdellaoui, A, Bigdeli, T B, Branje, S J T, Brown, S A, Bruinenberg, M, Casas, M, Esko, T, Garcia-Martinez, I, Gordon, S D, Harris, J M, Hartman, C A, Henders, A K, Heath, A C, Hickie, I B, Hickman, M, Hopfer, C J, Hottenga, J J, Huizink, A C, Irons, D E, Kahn, R S, Korhonen, T, Kranzler, H R, Krauter, K, van Lier, P A C, Lubke, G H, Madden, P A F, Mägi, R, McGue, M K, Medland, S E, Meeus, W H J, Miller, M B, Montgomery, G W, Nivard, M G, Nolte, I M, Oldehinkel, A J, Pausova, Z, Qaiser, B, Quaye, L, Ramos-Quiroga, J A, Richarte, V, Rose, R J, Shin, J, Stallings, M C, Stiby, A I, Wall, T L, Wright, M J, Koot, H M, Paus, T, Hewitt, J K, Ribasés, M, Kaprio, J, Boks, M P, Snieder, H, Spector, T, Munafò, M R, Metspalu, A, Gelernter, J, Boomsma, D I, Iacono, W G, Martin, N G, Gillespie, N A, Derks, E M, and Vink, J M

Published
2016

22. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

Author

Neurogenetica, Brain, Onderzoeksgroep 2, Stringer, S., Minică, C. C., Verweij, K. J.H., Mbarek, Hamdi, Bernard, M., Derringer, Jaime, van Eijk, K. R., Isen, J. D., Loukola, Anu, Maciejewski, D. F., Mihailov, E., van der Most, Peter J., Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R.G., Ware, James S., Abdellaoui, A., Bigdeli, T. B., Branje, S. J.T., Brown, A.S., Bruinenberg, M., Casas, M., Esko, Tonu, Garcia-Martinez, I., Gordon, Scott D., Harris, Juliette M, Hartman, Catharine A, Henders, Anjali K., Heath, Andrew C., Hickie, Ian B., Hickman, M., Hopfer, C. J., Hottenga, J.J., Huizink, A.C., Irons, D. E., Kahn, R. S., Korhonen, T.K., Kranzler, H. R., Krauter, K., van Lier, P.A.C., Lubke, G.H., Madden, Pamela A. F., Mägi, Reedik, McGue, M. K., Medland, Sarah E., Meeus, W.H.J., Miller, Michael B., Montgomery, Grant W., Nivard, Michel G, Nolte, Ilja M., Oldehinkel, Albertine J., Pausova, Zdenka, Qaiser, B., Quaye, Lydia, Ramos-Quiroga, J. A., Richarte, V., Rose, R.J., Shin, J.J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, Margaret J., Koot, H.M., Paus, T., Hewitt, J. K., Ribasés, M., Kaprio, Jaakko, Boks, M. P., Snieder, H., Spector, T.D., Munafò, M. R., Metspalu, A., Gelernter, J., Boomsma, Dorret I., Iacono, William G, Martin, Nicholas G., Gillespie, N. A., Derks, Eske M., Vink, J. M., Neurogenetica, Brain, Onderzoeksgroep 2, Stringer, S., Minică, C. C., Verweij, K. J.H., Mbarek, Hamdi, Bernard, M., Derringer, Jaime, van Eijk, K. R., Isen, J. D., Loukola, Anu, Maciejewski, D. F., Mihailov, E., van der Most, Peter J., Sánchez-Mora, C., Roos, L., Sherva, R., Walters, R.G., Ware, James S., Abdellaoui, A., Bigdeli, T. B., Branje, S. J.T., Brown, A.S., Bruinenberg, M., Casas, M., Esko, Tonu, Garcia-Martinez, I., Gordon, Scott D., Harris, Juliette M, Hartman, Catharine A, Henders, Anjali K., Heath, Andrew C., Hickie, Ian B., Hickman, M., Hopfer, C. J., Hottenga, J.J., Huizink, A.C., Irons, D. E., Kahn, R. S., Korhonen, T.K., Kranzler, H. R., Krauter, K., van Lier, P.A.C., Lubke, G.H., Madden, Pamela A. F., Mägi, Reedik, McGue, M. K., Medland, Sarah E., Meeus, W.H.J., Miller, Michael B., Montgomery, Grant W., Nivard, Michel G, Nolte, Ilja M., Oldehinkel, Albertine J., Pausova, Zdenka, Qaiser, B., Quaye, Lydia, Ramos-Quiroga, J. A., Richarte, V., Rose, R.J., Shin, J.J., Stallings, M. C., Stiby, A. I., Wall, T. L., Wright, Margaret J., Koot, H.M., Paus, T., Hewitt, J. K., Ribasés, M., Kaprio, Jaakko, Boks, M. P., Snieder, H., Spector, T.D., Munafò, M. R., Metspalu, A., Gelernter, J., Boomsma, Dorret I., Iacono, William G, Martin, Nicholas G., Gillespie, N. A., Derks, Eske M., and Vink, J. M.

Published
2016

23. Calibrating longitudinal cognition in Alzheimer's disease across diverse test batteries and datasets

Author

Gross, Al, Sherva, R, Mukherjee, S, Newhouse, S, Kauwe, Js, Munsie, Lm, Waterstone, Lb, Bennett, Da, Jones, Rn, Green, Rc, Crane, Pk, Hall, C, Lipton, R, Farrer, L, Chibnik, Lb, De Jager, P, Waterston, Lb, Kauwe, J, Dunstan, M, Williams, J, Soininen, H, Kraft, P, Saykin, A, Vellas, B, Mecocci, Patrizia, Bazenet, C, Dobson, R, Lovestone, S, Amouyel, P, Bellenguez, C, Dufouil, C, Kloszewska, I, Wendland, J, Winslow, A, Tsolaki, M, Schellenberg, G, Corcoran, C, Munger, R, Norton, M, Tschanz, J, and Cruchaga, C.

Subjects
Male, Gerontology, Epidemiology, Neuropsychological Tests, Article, 03 medical and health sciences, Cognition, 0302 clinical medicine, Alzheimer Disease, Statistics, Criterion validity, Humans, Medicine, Longitudinal Studies, 030212 general & internal medicine, Effects of sleep deprivation on cognitive performance, Cognitive decline, Categorical variable, Aged, Aged, 80 and over, business.industry, Neuropsychology, Reproducibility of Results, Middle Aged, Confirmatory factor analysis, Sample size determination, Neurology (clinical), Factor Analysis, Statistical, business, 030217 neurology & neurosurgery
Abstract

Background: We sought to identify optimal approaches by calibrating longitudinal cognitive performance across studies with different neuropsychological batteries. Methods: We examined four approaches to calibrate cognitive performance in nine longitudinal studies of Alzheimer's disease (AD) (n = 10,875): (1) common test, (2) standardize and average available tests, (3) confirmatory factor analysis (CFA) with continuous indicators, and (4) CFA with categorical indicators. To compare precision, we determined the minimum sample sizes needed to detect 25% cognitive decline with 80% power. To compare criterion validity, we correlated cognitive change from each approach with 6-year changes in average cortical thickness and hippocampal volume using available MRI data from the AD Neuroimaging Initiative. Results: CFA with categorical indicators required the smallest sample size to detect 25% cognitive decline with 80% power (n = 232) compared to common test (n = 277), standardize-and-average (n = 291), and CFA with continuous indicators (n = 315) approaches. Associations with changes in biomarkers changes were the strongest for CFA with categorical indicators. Conclusions: CFA with categorical indicators demonstrated greater power to detect change and superior criterion validity compared to other approaches. It has wide applicability to directly compare cognitive performance across studies, making it a good way to obtain operational phenotypes for genetic analyses of cognitive decline among people with AD. i 2014 S. Karger AG, Basel

Published
2014

24. Evidence of CNIH3 involvement in opioid dependence

Author

Nelson, Elliot C, Agrawal, A, Heath, A C, Bogdan, R, Sherva, R, Zhang, B, Al-Hasani, R, Bruchas, M R, Chou, Y -L, Schwab, Sibylle G, Nelson, Elliot C, Agrawal, A, Heath, A C, Bogdan, R, Sherva, R, Zhang, B, Al-Hasani, R, Bruchas, M R, Chou, Y -L, and Schwab, Sibylle G

Abstract

Opioid dependence, a severe addictive disorder and major societal problem, has been demonstrated to be moderately heritable. We conducted a genome-wide association study in Comorbidity and Trauma Study data comparing opioid-dependent daily injectors (N=1167) with opioid misusers who never progressed to daily injection (N=161). The strongest associations, observed for CNIH3 single-nucleotide polymorphisms (SNPs), were confirmed in two independent samples, the Yale-Penn genetic studies of opioid, cocaine and alcohol dependence and the Study of Addiction: Genetics and Environment, which both contain non-dependent opioid misusers and opioid-dependent individuals. Meta-analyses found five genome-wide significant CNIH3 SNPs. The A allele of rs10799590, the most highly associated SNP, was robustly protective (P=4.30E-9; odds ratio 0.64 (95% confidence interval 0.55-0.74)). Epigenetic annotation predicts that this SNP is functional in fetal brain. Neuroimaging data from the Duke Neurogenetics Study (N=312) provide evidence of this SNP's in vivo functionality; rs10799590 A allele carriers displayed significantly greater right amygdala habituation to threat-related facial expressions, a phenotype associated with resilience to psychopathology. Computational genetic analyses of physical dependence on morphine across 23 mouse strains yielded significant correlations for haplotypes in CNIH3 and functionally related genes. These convergent findings support CNIH3 involvement in the pathophysiology of opioid dependence, complementing prior studies implicating the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) glutamate system.

Published
2015

25. The genetics of alcohol dependence: Twin and SNP-based heritability, and genome-wide association study based on AUDIT scores

Author

Mbarek, H., Milaneschi, Y., Fedko, I.O., Hottenga, J.J., Moor, M.H.M. de, Jansen, R., Gelernter, J., Sherva, R., Willemsen, G., Boomsma, D.I., Penninx, B.W.J.H., Vink, J.M., Mbarek, H., Milaneschi, Y., Fedko, I.O., Hottenga, J.J., Moor, M.H.M. de, Jansen, R., Gelernter, J., Sherva, R., Willemsen, G., Boomsma, D.I., Penninx, B.W.J.H., and Vink, J.M.

Abstract

Item does not contain fulltext, Alcohol dependence (AD) is among the most common and costly public health problems contributing to morbidity and mortality throughout the world. In this study, we investigate the genetic basis of AD in a Dutch population using data from the Netherlands Twin Register (NTR) and the Netherlands Study of Depression and Anxiety (NESDA). The presence of AD was ascertained via the Alcohol Use Disorders Identification Test (AUDIT) applying cut-offs with good specificity and sensitivity in identifying those at risk for AD. Twin-based heritability of AD-AUDIT was estimated using structural equation modeling of data in 7,694 MZ and DZ twin pairs. Variance in AD-AUDIT explained by all SNPs was estimated with genome-wide complex trait analysis (GCTA). A genome-wide association study (GWAS) was performed in 7,842 subjects. GWAS SNP effect concordance analysis was performed between our GWAS and a recent AD GWAS using DSM-IV diagnosis. The twin-based heritability of AD-AUDIT was estimated at 60% (55-69%). GCTA showed that common SNPs jointly capture 33% (SE = 0.12, P = 0.002) of this heritability. In the GWAS, the top hits were positioned within four regions (4q31.1, 2p16.1, 6q25.1, 7p14.1) with the strongest association detected for rs55768019 (P = 7.58 × 10-7). This first GWAS of AD using the AUDIT measure found results consistent with previous genetic studies using DSM diagnosis: concordance in heritability estimates and direction of SNPs effect and overlap with top hits from previous GWAS. Thus, the use of appropriate questionnaires may represent cost-effective strategies to phenotype samples in large-scale biobanks or other population-based datasets.

Published
2015

26. Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence

Author

University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, Hancock, D. B., Reginsson, G. W., Gaddis, N. C., Chen, X., Saccone, N. L., Lutz, S. M., Qaiser, Beenish, Sherva, R., Steinberg, S., Zink, F., Stacey, S. N., Glasheen, C., Chen, J., Gu, F., Frederiksen, B. N., Loukola, A., Gudbjartsson, D. F., Brueske, I., Landi, M. T., Bickeboeller, H., Madden, P., Farrer, L., Kaprio, J., Kranzler, H. R., Gelernter, J., Baker, T. B., Kraft, P., Amos, C. I., Caporaso, N. E., Hokanson, J. E., Bierut, L. J., Thorgeirsson, T. E., Johnson, E. O., Stefansson, K., University of Helsinki, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Clinicum, Hancock, D. B., Reginsson, G. W., Gaddis, N. C., Chen, X., Saccone, N. L., Lutz, S. M., Qaiser, Beenish, Sherva, R., Steinberg, S., Zink, F., Stacey, S. N., Glasheen, C., Chen, J., Gu, F., Frederiksen, B. N., Loukola, A., Gudbjartsson, D. F., Brueske, I., Landi, M. T., Bickeboeller, H., Madden, P., Farrer, L., Kaprio, J., Kranzler, H. R., Gelernter, J., Baker, T. B., Kraft, P., Amos, C. I., Caporaso, N. E., Hokanson, J. E., Bierut, L. J., Thorgeirsson, T. E., Johnson, E. O., and Stefansson, K.

Abstract

We conducted a 1000 Genomes-imputed genome-wide association study (GWAS) meta-analysis for nicotine dependence, defined by the Fagerstrom Test for Nicotine Dependence in 17 074 ever smokers from five European-ancestry samples. We followed up novel variants in 7469 ever smokers from five independent European-ancestry samples. We identified genome-wide significant association in the alpha-4 nicotinic receptor subunit (CHRNA4) gene on chromosome 20q13: lowest P = 8.0 x 10(-9) across all the samples for rs2273500-C (frequency = 0.15; odds ratio = 1.12 and 95% confidence interval = 1.08-1.17 for severe vs mild dependence). rs2273500-C, a splice site acceptor variant resulting in an alternate CHRNA4 transcript predicted to be targeted for nonsense-mediated decay, was associated with decreased CHRNA4 expression in physiologically normal human brains (lowest P = 7.3 x 10(-4)). Importantly, rs2273500-C was associated with increased lung cancer risk (N = 28 998, odds ratio = 1.06 and 95% confidence interval = 1.00-1.12), likely through its effect on smoking, as rs2273500-C was no longer associated with lung cancer after adjustment for smoking. Using criteria for smoking behavior that encompass more than the single 'cigarettes per day' item, we identified a common CHRNA4 variant with important regulatory properties that contributes to nicotine dependence and smoking-related consequences.

Published
2015

27. Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence

Author

Hancock, D B, primary, Reginsson, G W, additional, Gaddis, N C, additional, Chen, X, additional, Saccone, N L, additional, Lutz, S M, additional, Qaiser, B, additional, Sherva, R, additional, Steinberg, S, additional, Zink, F, additional, Stacey, S N, additional, Glasheen, C, additional, Chen, J, additional, Gu, F, additional, Frederiksen, B N, additional, Loukola, A, additional, Gudbjartsson, D F, additional, Brüske, I, additional, Landi, M T, additional, Bickeböller, H, additional, Madden, P, additional, Farrer, L, additional, Kaprio, J, additional, Kranzler, H R, additional, Gelernter, J, additional, Baker, T B, additional, Kraft, P, additional, Amos, C I, additional, Caporaso, N E, additional, Hokanson, J E, additional, Bierut, L J, additional, Thorgeirsson, T E, additional, Johnson, E O, additional, and Stefansson, K, additional

Published
2015
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28. Evidence of CNIH3 involvement in opioid dependence

Author

Nelson, E C, primary, Agrawal, A, additional, Heath, A C, additional, Bogdan, R, additional, Sherva, R, additional, Zhang, B, additional, Al-Hasani, R, additional, Bruchas, M R, additional, Chou, Y-L, additional, Demers, C H, additional, Carey, C E, additional, Conley, E D, additional, Fakira, A K, additional, Farrer, L A, additional, Goate, A, additional, Gordon, S, additional, Henders, A K, additional, Hesselbrock, V, additional, Kapoor, M, additional, Lynskey, M T, additional, Madden, P A F, additional, Moron, J A, additional, Rice, J P, additional, Saccone, N L, additional, Schwab, S G, additional, Shand, F L, additional, Todorov, A A, additional, Wallace, L, additional, Wang, T, additional, Wray, N R, additional, Zhou, X, additional, Degenhardt, L, additional, Martin, N G, additional, Hariri, A R, additional, Kranzler, H R, additional, Gelernter, J, additional, Bierut, L J, additional, Clark, D J, additional, and Montgomery, G W, additional

Published
2015
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29. Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3Bcontributing to nicotine dependence

Author

Hancock, D, Guo, Y, Reginsson, G, Gaddis, N, Lutz, S, Sherva, R, Loukola, A, Minica, C, Markunas, C, Han, Y, Young, K, Gudbjartsson, D, Gu, F, McNeil, D, Qaiser, B, Glasheen, C, Olson, S, Landi, M, Madden, P, Farrer, L, Vink, J, Saccone, N, Neale, M, Kranzler, H, McKay, J, Hung, R, Amos, C, Marazita, M, Boomsma, D, Baker, T, Gelernter, J, Kaprio, J, Caporaso, N, Thorgeirsson, T, Hokanson, J, Bierut, L, Stefansson, K, and Johnson, E

Abstract

Cigarette smoking is a leading cause of preventable mortality worldwide. Nicotine dependence, which reduces the likelihood of quitting smoking, is a heritable trait with firmly established associations with sequence variants in nicotine acetylcholine receptor genes and at other loci. To search for additional loci, we conducted a genome-wide association study (GWAS) meta-analysis of nicotine dependence, totaling 38,602 smokers (28,677 Europeans/European Americans and 9925 African Americans) across 15 studies. In this largest-ever GWAS meta-analysis for nicotine dependence and the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-CHRNA3-CHRNB4genes and further yielded a novel association in the DNA methyltransferase gene DNMT3B. The intronic DNMT3Brs910083-C allele (frequency=44–77%) was associated with increased risk of nicotine dependence at P=3.7 × 10−8(odds ratio (OR)=1.06 and 95% confidence interval (CI)=1.04–1.07 for severe vs mild dependence). The association was independently confirmed in the UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6 × 10−4, OR=1.05, and 95% CI=1.02–1.08). Rs910083-C is also associated with increased risk of squamous cell lung carcinoma in the International Lung Cancer Consortium (N=60,586, meta-analysis P=0.0095, OR=1.05, and 95% CI=1.01–1.09). Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3Bmethylation in fetal brain (N=166, P=2.3 × 10−26) and a cis-expression QTL variant associated with higher DNMT3Bexpression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0 × 10−6) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking and consequent lung cancer.

Published
2018
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30. Genome-wide association study of alcohol dependence:significant findings in African- and European-Americans including novel risk loci

Author

Gelernter, J, primary, Kranzler, H R, additional, Sherva, R, additional, Almasy, L, additional, Koesterer, R, additional, Smith, A H, additional, Anton, R, additional, Preuss, U W, additional, Ridinger, M, additional, Rujescu, D, additional, Wodarz, N, additional, Zill, P, additional, Zhao, H, additional, and Farrer, L A, additional

Published
2013
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32. Granulomatosis with polyangiitis (Wegener's) is associated with HLA-DPB1*04 and EMA6A gene variants. Evidence from a genome-wide analysis

Author

Xie, G., primary, Roschandel, D., additional, Sherva, R., additional, Monach, P., additional, Lu, Y., additional, Kung, T., additional, Carrington, K., additional, Carette, S., additional, Dellaripa, P., additional, Edberg, J., additional, Hoffman, G., additional, Khalidi, N., additional, Langford, C., additional, Mahr, A., additional, St. Clair, E.W., additional, Seo, P., additional, Specks, U., additional, Spiera, R., additional, Stone, J., additional, Ytterberg, S., additional, Raychaudhuri, S., additional, De Bakker, P., additional, Farrer, L., additional, Amos, C., additional, Merkel, P., additional, and Siminovitch, K., additional

Published
2013
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34. Evidence of CNIH3involvement in opioid dependence

Author

Nelson, E C, Agrawal, A, Heath, A C, Bogdan, R, Sherva, R, Zhang, B, Al-Hasani, R, Bruchas, M R, Chou, Y-L, Demers, C H, Carey, C E, Conley, E D, Fakira, A K, Farrer, L A, Goate, A, Gordon, S, Henders, A K, Hesselbrock, V, Kapoor, M, Lynskey, M T, Madden, P A F, Moron, J A, Rice, J P, Saccone, N L, Schwab, S G, Shand, F L, Todorov, A A, Wallace, L, Wang, T, Wray, N R, Zhou, X, Degenhardt, L, Martin, N G, Hariri, A R, Kranzler, H R, Gelernter, J, Bierut, L J, Clark, D J, and Montgomery, G W

Abstract

Opioid dependence, a severe addictive disorder and major societal problem, has been demonstrated to be moderately heritable. We conducted a genome-wide association study in Comorbidity and Trauma Study data comparing opioid-dependent daily injectors (N=1167) with opioid misusers who never progressed to daily injection (N=161). The strongest associations, observed for CNIH3single-nucleotide polymorphisms (SNPs), were confirmed in two independent samples, the Yale-Penn genetic studies of opioid, cocaine and alcohol dependence and the Study of Addiction: Genetics and Environment, which both contain non-dependent opioid misusers and opioid-dependent individuals. Meta-analyses found five genome-wide significant CNIH3SNPs. The A allele of rs10799590, the most highly associated SNP, was robustly protective (P=4.30E-9; odds ratio 0.64 (95% confidence interval 0.55–0.74)). Epigenetic annotation predicts that this SNP is functional in fetal brain. Neuroimaging data from the Duke Neurogenetics Study (N=312) provide evidence of this SNP’s in vivofunctionality; rs10799590 A allele carriers displayed significantly greater right amygdala habituation to threat-related facial expressions, a phenotype associated with resilience to psychopathology. Computational genetic analyses of physical dependence on morphine across 23 mouse strains yielded significant correlations for haplotypes in CNIH3and functionally related genes. These convergent findings support CNIH3involvement in the pathophysiology of opioid dependence, complementing prior studies implicating the a-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) glutamate system.

Published
2016
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36. Identification of novel candidate genes for Alzheimer's disease by autozygosity mapping using genome wide SNP data.

Author

Sherva R, Baldwin CT, Inzelberg R, Vardarajan B, Cupples LA, Lunetta K, Bowirrat A, Naj A, Pericak-Vance M, Friedland RP, Farrer LA, Sherva, Richard, Baldwin, Clinton T, Inzelberg, Rivka, Vardarajan, Badri, Cupples, L Adrienne, Lunetta, Kathryn, Bowirrat, Abdalla, Naj, Adam, and Pericak-Vance, Margaret

Abstract

Alzheimer's disease (AD) is highly prevalent in Wadi Ara despite the low frequency of apolipoprotein E ε4 in this genetically isolated Arab community in northern Israel. We hypothesized that the reduced genetic variability in combination with increased homozygosity would facilitate identification of genetic variants that contribute to the high rate of AD in this community. AD cases (n = 124) and controls (n = 142) from Wadi Ara were genotyped for a genome-wide set of more than 300,000 single nucleotides polymorphisms (SNPs) which were used to calculate measures of population stratification and inbreeding, and to identify regions of autozygosity. Although a high degree of relatedness was evident in both AD cases and controls, controls were significantly more related and contained more autozygous regions than AD cases (p = 0.004). Eight autozygous regions on seven different chromosomes were more frequent in controls than the AD cases, and 116 SNPs in these regions, primarily on chromosomes 2, 6, and 9, were nominally associated with AD. The association with rs3130283 in AGPAT1 on chromosome 6 was observed in a meta-analysis of seven genome-wide association study (GWAS) datasets. Analysis of the full Wadi Ara GWAS dataset revealed 220 SNP associations with AD at p ≤ 10⁻⁵, and seven of these were confirmed in the replication GWAS datasets (p < 0.05). The unique population structure of Wadi Ara enhanced efforts to identify genetic variants that might partially explain the high prevalence of AD in the region. Several of these variants show modest evidence for association in other Caucasian populations. [ABSTRACT FROM AUTHOR]

Published
2011
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37. Population-specific risk of type 2 diabetes conferred by HNF4A P2 promoter variants: a lesson for replication studies.

Author

Barroso I, Luan J, Wheeler E, Whittaker P, Wasson J, Zeggini E, Weedon MN, Hunt S, Venkatesh R, Frayling TM, Delgado M, Neuman RJ, Zhao J, Sherva R, Glaser B, Walker M, Hitman G, McCarthy MI, Hattersley AT, and Permutt MA

Abstract

Objective: Single nucleotide polymorphisms (SNPs) in the P2 promoter region of HNF4A were originally shown to be associated with predisposition for type 2 diabetes in Finnish, Ashkenazi, and, more recently, Scandinavian populations, but they generated conflicting results in additional populations. We aimed to investigate whether data from a large-scale mapping approach would replicate this association in novel Ashkenazi samples and in U.K. populations and whether these data would allow us to refine the association signal.Research Design and Methods: Using a dense linkage disequilibrium map of 20q, we selected SNPs from a 10-Mb interval centered on HNF4A. In a staged approach, we first typed 4,608 SNPs in case-control populations from four U.K. populations and an Ashkenazi population (n = 2,516). In phase 2, a subset of 763 SNPs was genotyped in 2,513 additional samples from the same populations.Results: Combined analysis of both phases demonstrated association between HNF4A P2 SNPs (rs1884613 and rs2144908) and type 2 diabetes in the Ashkenazim (n = 991; P < 1.6 x 10(-6)). Importantly, these associations are significant in a subset of Ashkenazi samples (n = 531) not previously tested for association with P2 SNPs (odds ratio [OR] approximately 1.7; P < 0.002), thus providing replication within the Ashkenazim. In the U.K. populations, this association was not significant (n = 4,022; P > 0.5), and the estimate for the OR was much smaller (OR 1.04; [95%CI 0.91-1.19]).Conclusions: These data indicate that the risk conferred by HNF4A P2 is significantly different between U.K. and Ashkenazi populations (P < 0.00007), suggesting that the underlying causal variant remains unidentified. Interactions with other genetic or environmental factors may also contribute to this difference in risk between populations. [ABSTRACT FROM AUTHOR]

Published
2008
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38. Association of a single nucleotide polymorphism in neuronal acetylcholine receptor subunit alpha 5 (CHRNA5) with smoking status and with 'pleasurable buzz' during early experimentation with smoking.

Author

Sherva R, Wilhelmsen K, Pomerleau CS, Chasse SA, Rice JP, Snedecor SM, Bierut LJ, Neuman RJ, and Pomerleau OF

Abstract

AIMS: To extend the previously identified association between a single nucleotide polymorphism (SNP) in neuronal acetylcholine receptor subunit alpha-5 (CHRNA5) and nicotine dependence to current smoking and initial smoking-experience phenotypes. DESIGN, SETTING, PARTICIPANTS: Case-control association study with a community-based sample, comprising 363 Caucasians and 72 African Americans (203 cases, 232 controls). MEASUREMENTS: Cases had smoked > or = five cigarettes/day for > or = 5 years and had smoked at their current rate for the past 6 months. Controls had smoked between one and 100 cigarettes in their life-time, but never regularly. Participants also rated, retrospectively, pleasurable and displeasurable sensations experienced when they first smoked. We tested for associations between smoking phenotypes and the top 25 SNPs tested for association with nicotine dependence in a previous study. FINDINGS: A non-synonymous coding SNP in CHRNA5, rs16969968, was associated with case status [odds ratio (OR) = 1.5, P = 0.01] and, in Caucasians, with experiencing a pleasurable rush or buzz during the first cigarette (OR = 1.6, P = 0.01); these sensations were associated highly with current smoking (OR = 8.2, P = 0.0001). CONCLUSIONS: We replicated the observation that the minor allele of rs16969968 affects smoking behavior, and extended these findings to sensitivity to smoking effects upon experimentation. While the ability to test genetic associations was limited by sample size, the polymorphism in the CHRNA5 subunit was shown to be associated significantly with enhanced pleasurable responses to initial cigarettes in regular smokers in an a priori test. The findings suggest that phenotypes related to subjective experiences upon smoking experimentation may mediate the development of nicotine dependence. [ABSTRACT FROM AUTHOR]

Published
2008
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39. ACSL6 Is Associated with the Number of Cigarettes Smoked and Its Expression Is Altered by Chronic Nicotine Exposure

Author

Chen J, Dh, Brunzell, Jackson K, van der Vaart A, Jz, Ma, Tj, Payne, Sherva R, La, Farrer, Gejman P, Df, Levinson, Holmans P, Sh, Aggen, Damaj I, Po-Hsiu Kuo, Bt, Webb, Anton R, Hr, Kranzler, Gelernter J, Md, Li, Ks, Kendler, and Chen X

Subjects
03 medical and health sciences, 0302 clinical medicine, Multidisciplinary, 030220 oncology & carcinogenesis, Science, Correction, Medicine, 030217 neurology & neurosurgery

40. Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies

Author

Samuel Kuperman, Leila Karhunen, Geòrgia Escaramís, Sébastien Guillaume, Kelly L. Klump, David C. Whiteman, Colin A. Hodgkinson, Stephanie H. Witt, Artemis Tsitsika, Hana Papezova, Renato Polimanti, P. Eline Slagboom, Peter Zill, Jakob Grove, Toni-Kim Clarke, Michael Soyka, Jennifer Jordan, Steven Gallinger, Philip Gorwood, Preben Bo Mortensen, Yuri Milaneschi, Ingrid Meulenbelt, Jen Chyong Wang, Markus M. Nöthen, Katrin Männik, Henry R. Kranzler, Michael M. Vanyukov, Anna Keski-Rahkonen, William G. Iacono, Raymond K. Walters, Stephanie Le Hellard, Bochao Danae Lin, Vesna Boraska Perica, Marion Roberts, Patrick F. Sullivan, Steven Crawford, Mark A. Frye, Melissa A. Munn-Chernoff, Hakon Hakonarson, Andreas Birgegård, Robert Culverhouse, Alexis C. Edwards, Jerome C. Foo, Alessandro Rotondo, Brenda W.J.H. Penninx, Laura M. Hack, Michael T. Lynskey, Mario Maj, Alessio Maria Monteleone, Ted Reichborn-Kjennerud, Julie K. O'Toole, Marta Tyszkiewicz-Nwafor, Matt McGue, Julien Bryois, Martina de Zwaan, Norbert Dahmen, Stefanie Heilmann-Heimbach, Deborah Kaminská, Benedetta Nacmias, Nicholas G. Martin, Anna R. Docherty, Christopher Hübel, Nancy L. Pedersen, Janet Treasure, William E. Copeland, Roger A.H. Adan, Jaakko Kaprio, Aarno Palotie, L. John Horwood, Maria La Via, Philippe Courtet, Virpi M. Leppä, Judy L. Silberg, Jason D. Boardman, Fazil Aliev, Wade H. Berrettini, Doo Sup Choi, Youl-Ri Kim, Konstantinos Hatzikotoulas, Harriet de Wit, Sandra A. Brown, Elisabeth Widen, Caroline Hayward, Nicholas J. Schork, Penelope A. Lind, Ralph E. Tarter, Jana Strohmaier, Allan S. Kaplan, Richard A. Grucza, Bradley T. Webb, Angela Favaro, Dalila Pinto, Helena Gaspar, Andrew W. Bergen, Beate Herpertz-Dahlmann, Robert Levitan, Wolfgang Gäbel, Xavier Estivill, Emma C. Johnson, Konstantinos Tziouvas, Lindsay A. Farrer, Lenka Foretova, Marc A. Schuckit, Joanna M. Biernacka, André Scherag, Robbee Wedow, Abraham A. Palmer, Amy E. Adkins, Franziska Degenhardt, Louisa Degenhardt, Jurjen J. Luykx, Marius Lahti-Pulkkinen, Brien P. Riley, Monika Ridinger, Matteo Cassina, Harry Brandt, Yiran Guo, Stephan Ripke, Palmiero Monteleone, Katri Räikkönen, Jonathan R. I. Coleman, Martin A. Kennedy, Stephen W. Scherer, Ioanna Tachmazidou, Catherine M. Olsen, Bernice Porjesz, Esther Walton, Yi-Ling Chou, Nicolas Ramoz, Tetsuya Ando, Andres Metspalu, Bertram Müller-Myhsok, Brion S. Maher, Sarah Bertelsen, Melanie L. Schwandt, Janiece E. DeSocio, Margaret Keyes, John F. Pearson, Dongbing Lai, Paul Lichtenstein, James MacKillop, George Dedoussis, Jari Lahti, Ulrike Schmidt, Stefan Ehrlich, Amanda G. Wills, Teemu Palviainen, David Goldman, Elena Tenconi, Dimitris Dikeos, Scott I. Vrieze, Sietske G. Helder, Katharina Buehren, Hongyu Zhao, Sara McDevitt, Jolanta Lissowska, Joseph M. Boden, Li-Shiun Chen, Susanne Lucae, Sara Marsal, Dan Rujescu, Claes Norring, Howard J. Edenberg, Victor M. Karpyak, Fragiskos Gonidakis, Per Hoffmann, Christopher S. Franklin, Karin Egberts, Johanna Giuranna, Stefan Herms, Leah Wetherill, Stephanie Zerwas, Anthony Batzler, Elliot C. Nelson, Jouke-Jan Hottenga, Marcella Rietschel, Ioanna Ntalla, Victor Hesselbrock, Sarah M. Hartz, Marie Navratilova, Falk Kiefer, Martien J H Kas, Richard J. Rose, Andrew C. Heath, Jin P. Szatkiewicz, Lenka Slachtova, Lisa Lilenfeld, Katherine A. Halmi, John P. Rice, Anjali K. Henders, Christian Dina, Norbert Wodarz, Satu Männistö, Hamdi Mbarek, Shuyang Yao, Vladimir Janout, Alison Goate, Bettina Konte, Alexandra Schosser, Danfeng Chen, Kirsty Kiezebrink, Euijung Ryu, Dana B. Hancock, James Mitchell, Sarah E. Medland, Ina Giegling, Valdo Ricca, Scott D. Gordon, Gabrielle Koller, Samuli Ripatti, Laura M. Thornton, Alison D. Murray, Morten Mattingsdal, Zeynep Yilmaz, Jens Treutlein, Kathleen K. Bucholz, Tim B. Bigdeli, Eric F. van Furth, Hermine H. Maes, Ken B. Hanscombe, Sandra Sanchez-Roige, Daniela Degortes, Monica Forzan, Manuel Mattheisen, Richard Sherva, Scott J. Crow, Mikael Landén, Wolfgang Herzog, Jeanette N. McClintick, Tõnu Esko, Louis Fox, Wolfgang Maier, Liselotte Petersen, Laura J. Bierut, Roseann E. Peterson, Gursharan Kalsi, Kathleen Mullan Harris, Margarita C T Slof-Op 't Landt, Tamara L. Wall, Patrik K. E. Magnusson, Unna N. Danner, Stephan Zipfel, Ulrich W. Preuss, Elisa Docampo, D. Blake Woodside, Alfonso Tortorella, Benjamin W. Domingue, Franziska Ritschel, Johan G. Eriksson, Anu Raevuori, Benjamin M. Neale, Marcus Ising, Annemarie A. van Elburg, Filip Rybakowski, Maureen Reynolds, Tracey D. Wade, Manfred M. Fichter, Monica Gratacos Mayora, Claudette Boni, Andreas J. Forstner, John Whitfield, Silviu Alin Bacanu, Matthew B. McQueen, Andrew M. McIntosh, Norbert Scherbaum, Tatiana Foroud, Gun Peggy Knudsen, Sven Cichon, Christian J. Hopfer, Josef Frank, Eleftheria Zeggini, Federica Tozzi, Nadia Micali, Danielle M. Dick, Pamela A. F. Madden, Christian R. Marshall, Johannes Hebebrand, Fernando Fernández-Aranda, Roel A. Ophoff, Roland Burghardt, Nathaniel Thomas, Leonid Padyukov, Nancy L. Saccone, Anu Loukola, Fabian Streit, James L. Kennedy, Jessica H. Baker, Peter McGuffin, Walter H. Kaye, Pei Hong Shen, Anne Farmer, Roger D. Cone, Ilka Boehm, Jacquelyn L. Meyers, Paolo Santonastaso, Maurizio Clementi, Susana Jiménez-Murcia, Gudrun Wagner, Anke Hinney, Richard Parker, James I. Hudson, Nathan A. Gillespie, Michael Strober, John I. Nurnberger, Sandro Sorbi, Dorret I. Boomsma, Beata Świątkowska, Janne Tidselbak Larsen, Kenneth S. Kendler, Hidetoshi Inoko, Jessica E. Salvatore, Hunna J. Watson, Jochen Seitz, Jacques Pantel, Karl Mann, Hang Zhou, Antonio Julià, Oliver S. P. Davis, Nancy Diazgranados, Krista Fischer, John K. Hewitt, Karen S. Mitchell, Joanna Hauser, Eric O. Johnson, Craig Johnson, E. Jane Costello, Agnieszka Słopień, Dong Li, Laramie E. Duncan, Arpana Agrawal, Grant W. Montgomery, Manuel Föcker, Thomas Werge, Lannie Ligthart, Andreas Karwautz, Raquel Rabionet, Kenneth Krauter, Joel Gelernter, James J. Crowley, Cynthia M. Bulik, Paola Giusti-Rodríguez, Laura M. Huckins, Gerome Breen, Michael C. Stallings, Daniel E. Adkins, Pierre J. Magistretti, John Kramer, Lars Alfredsson, Hartmut Imgart, Annette M. Hartmann, Ole A. Andreassen, Monika Dmitrzak-Weglarz, Psychiatry, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Department Psychiatry [Chapel Hill], University of North Carolina System (UNC)-University of North Carolina System (UNC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, Harvard Medical School [Boston] (HMS), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], QIMR Berghofer Medical Research Institute, Karolinska Institutet [Stockholm], University Children's Hospital of Essen [Essen, Germany], University of Duisburg-Essen, Aarhus University [Aarhus], Stockholm County Council, University of Würzburg, Guy's Hospital [London], University Medical Center [Utrecht], University of Gothenburg (GU), Altrecht Center for Eating Disorders Rintveld [Zeist, The Netherlands] (Mental Health Institute), National Institute of Mental Health [Tokyo, Japan] (NIMH), National Center of Neurology and Psychiatry [Tokyo, Japan], University of Oslo (UiO), Norwegian Centre for Mental Disorders Research [Oslo] (NORMENT), University of Oslo (UiO)-Haukeland University Hospital, University of Bergen (UiB)-University of Bergen (UiB)-Oslo University Hospital [Oslo], Department of Psychiatry [Philadelphia], University of Pennsylvania [Philadelphia], Perelman School of Medicine, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Institut de psychiatrie et neurosciences (U894 / UMS 1266), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Split, The Wellcome Trust Sanger Institute [Cambridge], RWTH Aachen University, Universitätsklinikum Frankfurt, Universita degli Studi di Padova, University Hospital Basel [Basel], Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Minnesota System, University of Bristol [Bristol], Hannover Medical School [Hannover] (MHH), Harokopio University of Athens, Seattle University [Seattle], Virginia Commonwealth University (VCU), University of Athens Medical School [Athens], unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Poznan University of Medical Sciences [Poland] (PUMS), Institute of Environmental Science and Technology [Barcelona] (ICTA), Universitat Autònoma de Barcelona (UAB), Massachusetts General Hospital [Boston], Stanford University, MetaGenoPolis (MGP (US 1367)), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Estonian Genome and Medicine, University of Tartu, Universitat Pompeu Fabra [Barcelona] (UPF), MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), The Institute of Psychiatry-King‘s College London, Department of Psychiatry (IDIBELL), CIBERobn Fisiopatología de la Obesidad y Nutrición-University Hospital of Bellvitge, Ludwig-Maximilians-Universität München (LMU), Infectious diseases division, Department of internal medicine, University of Münster, Masaryk Memorial Cancer Institute, Masaryk Memorial Cancer Institute (RECAMO), Universitätsklinikum Bonn (UKB), Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), Medstar Research Institute, Universität Duisburg-Essen [Essen], National and Kapodistrian University of Athens (NKUA), Children’s Hospital of Philadelphia (CHOP ), The Center for Applied Genomics, Psychiatric Genetic Unit, Poznan University of Medical Sciences, Department of Child and Adolescent Psychiatry and Psychotherapy, LVR-Klinikum Essen, Centre for Epidemiology and Biostatistics, Faculty of Medicine and Health Leeds, University of Leeds, Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Heidelberg University Hospital [Heidelberg], Icahn School of Medicine at Mount Sinai [New York] (MSSM), School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia., Parkland-Klinik [Bad Wildungen-Reinhardshausen, Germany], Tokai University, Department of Epidemiology and Public Health [university of Ostrava], Lékařská fakulta / Faculty of Medicine [University of Ostrava], Ostravská univerzita / University of Ostrava-Ostravská univerzita / University of Ostrava, Vall d'Hebron University Hospital [Barcelona], Charles University [Prague] (CU), University of Eastern Finland, Medizinische Universität Wien = Medical University of Vienna, Centre de toxicomanie et de santé mentale [Toronto, ON, Canada], University of Helsinki, University of Aberdeen, Faculty of Science, J.E. Purkinje University, J. E. Purkinje University, Michigan State University System, Norwegian Institute of Public Health [Oslo] (NIPH), Haukeland University Hospital, University of Bergen (UiB), Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), The Chicago School of Professional Psychology [Washington, District of Columbia, USA] (Washington DC Campus), Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Brain and Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Department of Psychiatry, University of Napoli, Center for Integrative Genomics - Institute of Bioinformatics, Génopode (CIG), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL)-Université de Lausanne (UNIL), Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], University College Cork (UCC), Section Molecular Epidemiology, Leiden University Medical Center (LUMC), Institute of Psychiatry, King's College, VA Boston Healthcare System, Università degli studi della Campania 'Luigi Vanvitelli', Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Kartini Clinic [Portland, Oregon, USA], University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Head of Medical Sequencing, Vanderbilt University School of Medicine [Nashville], The Hospital for sick children [Toronto] (SickKids), Center for Genomic Regulation (CRG-UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Department of Medical Epidemiology and Biostatistics (MEB), University of Pisa - Università di Pisa, Division of Psychiatric Genomics, Institute of Medical Informatics, Biometry and Epidemiology, Department of Molecular and Experimental Medicine, The Scripps Research Institute, The Scripps Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University-Medical Research Council, Leiden University Medical Center (LUMC), Center for Eating Disorders Ursula [Leiden, The Netherlands] (Rivierduinen), Medical University of Łódź (MUL), The Jackson Laboratory [Bar Harbor] (JAX), Neurosciences Centre of Excellence in Drug Discovery, GlaxoSmithKline Research and Development, Utrecht University [Utrecht], SURFACES, Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Human Genetics, Internal Medicine [Tuebingen, Germany], Tuebingen University [Germany], Oregon Research Institute (ORI), University of Otago [Dunedin, Nouvelle-Zélande], The Center for Eating Disorders at Sheppard Pratt [Baltimore, MD, USA], Weill Medical College of Cornell University [New York], Eating Recovery Center [Denver, CO, USA], Centre for Addiction and Mental Health [Toronto, ON, Canada], University of California [San Diego] (UC San Diego), University of California, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, Center for Genomic Medicine, Copenhagen University Hospital-Rigshospitalet [Copenhagen], Copenhagen University Hospital, Institute of Medical Science [Toronto], University of Toronto, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Sahlgrenska Academy at University of Gothenburg [Göteborg], Department of Genomics, Yale University School of Medicine, Indiana University School of Medicine, Indiana University System, Mayo Clinic [Rochester], Mayo Clinic, SUNY Downstate Medical Center, State University of New York (SUNY), University of Edinburgh, Department of Genomics, Life and Brain Center, University of Bonn, University of Utah School of Medicine [Salt Lake City], University of Heidelberg, Medical Faculty, Department of Psychiatry and Behavioral Sciences, Howard University College of Medicine, Department of Genomics [Bonn, Germany] (Institute of Human Genetics), University of Bonn-Institute of Human Genetics [Bonn, Germany], National Institutes of Health [Bethesda] (NIH), National Institute on Alcohol Abuse and Alcoholism [Bethesda, MD, USA] (NIAAA), Martin-Luther-University Halle-Wittenberg, Helsinki Institute of Life Science (HiLIFE), Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU), Vrije Universiteit Amsterdam [Amsterdam] (VU), Mathematical Sciences Institute (MSI), Australian National University (ANU), University of Colorado [Boulder], VU University Medical Center [Amsterdam], Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Universität Heidelberg [Heidelberg], Department of Genetic Epidemiology in Psychiatry [Mannhein], Universität Heidelberg [Heidelberg]-Central Institute of Mental Health Mannheim, Harvard University [Cambridge], University of Colorado Anschutz [Aurora], University of Vermont [Burlington], University of New South Wales [Sydney] (UNSW), University of Dusseldorf, Genetics and Pathology, Center for Human Genetic Research, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Heidelberg University, University of Iowa [Iowa City], Vienna University of Technology (TU Wien), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Indiana University System-Indiana University System, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), University of Regensburg, Rush University Medical Center [Chicago], University of Utah, Duke University Medical Center, University of Illinois [Chicago] (UIC), University of Illinois System, Department of Medical and Molecular Genetics, Dpt of Neuroscience [New York], Laboratory of Neurogenetics, National Institutes of Health [Bethesda] (NIH)-National Institute on Alcohol Abuse and Alcoholism, Department of Health and Human Services, University of Connecticut (UCONN), University of Colorado [Denver], Research Triangle Institute International (RTI International), McMaster University [Hamilton, Ontario], CLinical Psychology, Department of Electrical and Computer Engineering [Montréal], McGill University = Université McGill [Montréal, Canada], Yale School of Public Health (YSPH), Analytic and Translational Genetics Unit, Flinders University [Adelaide, Australia], Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Department of Public Health, Indiana University - Purdue University Indianapolis (IUPUI), National Institute of Mental Health (NIMH), University of Pennsylvania, Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH), Università degli Studi di Padova = University of Padua (Unipd), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Unité de recherche de l'institut du thorax (ITX-lab), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), King‘s College London-The Institute of Psychiatry, Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Masaryk Memorial Cancer Institute (MMCI), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Université de Lausanne = University of Lausanne (UNIL)-Université de Lausanne = University of Lausanne (UNIL), Università degli studi della Campania 'Luigi Vanvitelli' = University of the Study of Campania Luigi Vanvitelli, Università degli Studi di Firenze = University of Florence (UniFI), Department of Molecular Medicine [Scripps Research Institute], The Scripps Research Institute [La Jolla, San Diego], Medical Research Council-Cardiff University, Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), University of California (UC), University of California (UC)-University of California (UC), Yale School of Medicine [New Haven, Connecticut] (YSM), Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], Martinez Rico, Clara, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Kas lab, Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Munn-Chernoff, M. A., Johnson, E. C., Chou, Y. -L., Coleman, J. R. I., Thornton, L. M., Walters, R. K., Yilmaz, Z., Baker, J. H., Hubel, C., Gordon, S., Medland, S. E., Watson, H. J., Gaspar, H. A., Bryois, J., Hinney, A., Leppa, V. M., Mattheisen, M., Ripke, S., Yao, S., Giusti-Rodriguez, P., Hanscombe, K. B., Adan, R. A. H., Alfredsson, L., Ando, T., Andreassen, O. A., Berrettini, W. H., Boehm, I., Boni, C., Boraska Perica, V., Buehren, K., Burghardt, R., Cassina, M., Cichon, S., Clementi, M., Cone, R. D., Courtet, P., Crow, S., Crowley, J. J., Danner, U. N., Davis, O. S. P., de Zwaan, M., Dedoussis, G., Degortes, D., Desocio, J. E., Dick, D. M., Dikeos, D., Dina, C., Dmitrzak-Weglarz, M., Docampo, E., Duncan, L. E., Egberts, K., Ehrlich, S., Escaramis, G., Esko, T., Estivill, X., Farmer, A., Favaro, A., Fernandez-Aranda, F., Fichter, M. M., Fischer, K., Focker, M., Foretova, L., Forstner, A. J., Forzan, M., Franklin, C. S., Gallinger, S., Giegling, I., Giuranna, J., Gonidakis, F., Gorwood, P., Gratacos Mayora, M., Guillaume, S., Guo, Y., Hakonarson, H., Hatzikotoulas, K., Hauser, J., Hebebrand, J., Helder, S. G., Herms, S., Herpertz-Dahlmann, B., Herzog, W., Huckins, L. M., Hudson, J. I., Imgart, H., Inoko, H., Janout, V., Jimenez-Murcia, S., Julia, A., Kalsi, G., Kaminska, D., Karhunen, L., Karwautz, A., Kas, M. J. H., Kennedy, J. L., Keski-Rahkonen, A., Kiezebrink, K., Kim, Y. -R., Klump, K. L., Knudsen, G. P. S., La Via, M. C., Le Hellard, S., Levitan, R. D., Li, D., Lilenfeld, L., Lin, B. D., Lissowska, J., Luykx, J., Magistretti, P. J., Maj, M., Mannik, K., Marsal, S., Marshall, C. R., Mattingsdal, M., Mcdevitt, S., Mcguffin, P., Metspalu, A., Meulenbelt, I., Micali, N., Mitchell, K., Monteleone, A. M., Monteleone, P., Nacmias, B., Navratilova, M., Ntalla, I., O'Toole, J. K., Ophoff, R. A., Padyukov, L., Palotie, A., Pantel, J., Papezova, H., Pinto, D., Rabionet, R., Raevuori, A., Ramoz, N., Reichborn-Kjennerud, T., Ricca, V., Ripatti, S., Ritschel, F., Roberts, M., Rotondo, A., Rujescu, D., Rybakowski, F., Santonastaso, P., Scherag, A., Scherer, S. W., Schmidt, U., Schork, N. J., Schosser, A., Seitz, J., Slachtova, L., Slagboom, P. E., Slof-Op't Landt, M. C. T., Slopien, A., Sorbi, S., Swiatkowska, B., Szatkiewicz, J. P., Tachmazidou, I., Tenconi, E., Tortorella, A., Tozzi, F., Treasure, J., Tsitsika, A., Tyszkiewicz-Nwafor, M., Tziouvas, K., van Elburg, A. A., van Furth, E. F., Wagner, G., Walton, E., Widen, E., Zeggini, E., Zerwas, S., Zipfel, S., Bergen, A. W., Boden, J. M., Brandt, H., Crawford, S., Halmi, K. A., Horwood, L. J., Johnson, C., Kaplan, A. S., Kaye, W. H., Mitchell, J., Olsen, C. M., Pearson, J. F., Pedersen, N. L., Strober, M., Werge, T., Whiteman, D. C., Woodside, D. B., Grove, J., Henders, A. K., Larsen, J. T., Parker, R., Petersen, L. V., Jordan, J., Kennedy, M. A., Birgegard, A., Lichtenstein, P., Norring, C., Landen, M., Mortensen, P. B., Polimanti, R., Mcclintick, J. N., Adkins, A. E., Aliev, F., Bacanu, S. -A., Batzler, A., Bertelsen, S., Biernacka, J. M., Bigdeli, T. B., Chen, L. -S., Clarke, T. -K., Degenhardt, F., Docherty, A. R., Edwards, A. C., Foo, J. C., Fox, L., Frank, J., Hack, L. M., Hartmann, A. M., Hartz, S. M., Heilmann-Heimbach, S., Hodgkinson, C., Hoffmann, P., Hottenga, J. -J., Konte, B., Lahti, J., Lahti-Pulkkinen, M., Lai, D., Ligthart, L., Loukola, A., Maher, B. S., Mbarek, H., Mcintosh, A. M., Mcqueen, M. B., Meyers, J. L., Milaneschi, Y., Palviainen, T., Peterson, R. E., Ryu, E., Saccone, N. L., Salvatore, J. E., Sanchez-Roige, S., Schwandt, M., Sherva, R., Streit, F., Strohmaier, J., Thomas, N., Wang, J. -C., Webb, B. T., Wedow, R., Wetherill, L., Wills, A. G., Zhou, H., Boardman, J. D., Chen, D., Choi, D. -S., Copeland, W. E., Culverhouse, R. C., Dahmen, N., Degenhardt, L., Domingue, B. W., Frye, M. A., Gaebel, W., Hayward, C., Ising, M., Keyes, M., Kiefer, F., Koller, G., Kramer, J., Kuperman, S., Lucae, S., Lynskey, M. T., Maier, W., Mann, K., Mannisto, S., Muller-Myhsok, B., Murray, A. D., Nurnberger, J. I., Preuss, U., Raikkonen, K., Reynolds, M. D., Ridinger, M., Scherbaum, N., Schuckit, M. A., Soyka, M., Treutlein, J., Witt, S. H., Wodarz, N., Zill, P., Adkins, D. E., Boomsma, D. I., Bierut, L. J., Brown, S. A., Bucholz, K. K., Costello, E. J., de Wit, H., Diazgranados, N., Eriksson, J. G., Farrer, L. A., Foroud, T. M., Gillespie, N. A., Goate, A. M., Goldman, D., Grucza, R. A., Hancock, D. B., Harris, K. M., Hesselbrock, V., Hewitt, J. K., Hopfer, C. J., Iacono, W. G., Johnson, E. O., Karpyak, V. M., Kendler, K. S., Kranzler, H. R., Krauter, K., Lind, P. A., Mcgue, M., Mackillop, J., Madden, P. A. F., Maes, H. H., Magnusson, P. K. E., Nelson, E. C., Nothen, M. M., Palmer, A. A., Penninx, B. W. J. H., Porjesz, B., Rice, J. P., Rietschel, M., Riley, B. P., Rose, R. J., Shen, P. -H., Silberg, J., Stallings, M. C., Tarter, R. E., Vanyukov, M. M., Vrieze, S., Wall, T. L., Whitfield, J. B., Zhao, H., Neale, B. M., Wade, T. D., Heath, A. C., Montgomery, G. W., Martin, N. G., Sullivan, P. F., Kaprio, J., Breen, G., Gelernter, J., Edenberg, H. J., Bulik, C. M., and Agrawal, A.

Subjects
Netherlands Twin Register (NTR), Alcoholism/genetics, Schizophrenia/genetics, [SDV]Life Sciences [q-bio], [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Medizin, Medicine (miscellaneous), Genome-wide association study, Alcohol use disorder, Anorexia nervosa, Linkage Disequilibrium, ddc:616.89, [SCCO]Cognitive science, 0302 clinical medicine, Risk Factors, Tobacco Use Disorder/genetics, Substance-Related Disorders/genetics, 0303 health sciences, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Factors de risc en les malalties, Bulimia nervosa, Feeding and Eating Disorders/genetics, eating disorders, genetic correlation, substance use, Tobacco Use Disorder, 3. Good health, Fenotip, [SDV] Life Sciences [q-bio], Psychiatry and Mental health, Alcoholism, Eating disorders, Phenotype, Schizophrenia, Drinking of alcoholic beverages, eating disorder, Consum d'alcohol, Major depressive disorder, medicine.symptom, Depressive Disorder, Major/genetics, eating disorders, genetic correlation, substance use, Clinical psychology, Substance abuse, Risk factors in diseases, Substance-Related Disorders, Polymorphism, Single Nucleotide, Article, Feeding and Eating Disorders, 03 medical and health sciences, SDG 3 - Good Health and Well-being, mental disorders, Genetics, medicine, Humans, Trastorns de la conducta alimentària, 030304 developmental biology, Genetic association, Pharmacology, Depressive Disorder, Major, Binge eating, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, [SCCO] Cognitive science, medicine.disease, Comorbidity, Twin study, 030227 psychiatry, Abús de substàncies, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, business, Genètica, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Genome-Wide Association Study
Abstract

Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa (BN) and problem alcohol use (genetic correlation [rg], twin-based=0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge-eating, AN without binge-eating, and a BN factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder (MDD). Total sample sizes per phenotype ranged from ~2,400 to ~537,000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg=0.18; false discovery rate q=0.0006), cannabis initiation and AN (rg=0.23; qwith binge-eating (rg=0.27; q=0.0016). Conversely, significant negative genetic correlations were observed between three non-diagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge-eating (rgs=-0.19 to −0.23; qs

Published
2021

41. Role of the X Chromosome in Alzheimer Disease Genetics.

Author

Belloy ME, Le Guen Y, Stewart I, Williams K, Herz J, Sherva R, Zhang R, Merritt V, Panizzon MS, Hauger RL, Gaziano JM, Logue M, Napolioni V, and Greicius MD

Subjects
Female, Humans, Male, Case-Control Studies, Genetic Predisposition to Disease genetics, Polymorphism, Single Nucleotide, Genetic Association Studies, Alzheimer Disease genetics, Chromosomes, Human, X genetics
Abstract

Importance: The X chromosome has remained enigmatic in Alzheimer disease (AD), yet it makes up 5% of the genome and carries a high proportion of genes expressed in the brain, making it particularly appealing as a potential source of unexplored genetic variation in AD., Objectives: To perform the first large-scale X chromosome-wide association study (XWAS) of AD., Design, Setting, and Participants: This was a meta-analysis of genetic association studies in case-control, family-based, population-based, and longitudinal AD-related cohorts from the US Alzheimer's Disease Genetics Consortium, the Alzheimer's Disease Sequencing Project, the UK Biobank, the Finnish health registry, and the US Million Veterans Program. Risk of AD was evaluated through case-control logistic regression analyses. Data were analyzed between January 2023 and March 2024. Genetic data available from high-density single-nucleotide variant microarrays and whole-genome sequencing and summary statistics for multitissue expression and protein quantitative trait loci available from published studies were included, enabling follow-up genetic colocalization analyses. A total of 1 629 863 eligible participants were selected from referred and volunteer samples, 477 596 of whom were excluded for analysis exclusion criteria. The number of participants who declined to participate in original studies was not available., Main Outcome and Measures: Risk of AD, reported as odds ratios (ORs) with 95% CIs. Associations were considered at X chromosome-wide (P < 1 × 10-5) and genome-wide (P < 5 × 10-8) significance. Primary analyses are nonstratified, while secondary analyses evaluate sex-stratified effects., Results: Analyses included 1 152 284 participants of non-Hispanic White, European ancestry (664 403 [57.7%] female and 487 881 [42.3%] male), including 138 558 individuals with AD. Six independent genetic loci passed X chromosome-wide significance, with 4 showing support for links between the genetic signal for AD and expression of nearby genes in brain and nonbrain tissues. One of these 4 loci passed conservative genome-wide significance, with its lead variant centered on an intron of SLC9A7 (OR, 1.03; 95% CI, 1.02-1.04) and colocalization analyses prioritizing both the SLC9A7 and nearby CHST7 genes. Of these 6 loci, 4 displayed evidence for escape from X chromosome inactivation with regard to AD risk., Conclusion and Relevance: This large-scale XWAS of AD identified the novel SLC9A7 locus. SLC9A7 regulates pH homeostasis in Golgi secretory compartments and is anticipated to have downstream effects on amyloid β accumulation. Overall, this study advances our knowledge of AD genetics and may provide novel biological drug targets. The results further provide initial insights into elucidating the role of the X chromosome in sex-based differences in AD.

Published
2024
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42. Subjective Cognitive Decline Plus and Longitudinal Assessment and Risk for Cognitive Impairment.

Author

Kang M, Li C, Mahajan A, Spat-Lemus J, Durape S, Chen J, Gurnani AS, Devine S, Auerbach SH, Ang TFA, Sherva R, Qiu WQ, Lunetta KL, Au R, Farrer LA, and Mez J

Subjects
Humans, Female, Male, Aged, Middle Aged, Longitudinal Studies, Prospective Studies, Risk Factors, Proportional Hazards Models, Diagnostic Self Evaluation, Apolipoprotein E4 genetics, Risk Assessment statistics & numerical data, Dementia epidemiology, Dementia diagnosis, Cognitive Dysfunction epidemiology, Alzheimer Disease epidemiology, Alzheimer Disease genetics, Alzheimer Disease diagnosis
Abstract

Importance: Subjective cognitive decline (SCD) is recognized to be in the Alzheimer disease (AD) cognitive continuum. The SCD Initiative International Working Group recently proposed SCD-plus (SCD+) features that increase risk for future objective cognitive decline but that have not been assessed in a large community-based setting., Objective: To assess SCD risk for mild cognitive impairment (MCI), AD, and all-cause dementia, using SCD+ criteria among cognitively normal adults., Design, Setting, and Participants: The Framingham Heart Study, a community-based prospective cohort study, assessed SCD between 2005 and 2019, with up to 12 years of follow-up. Participants 60 years and older with normal cognition at analytic baseline were included. Cox proportional hazards (CPH) models were adjusted for baseline age, sex, education, APOE ε4 status, and tertiles of AD polygenic risk score (PRS), excluding the APOE region. Data were analyzed from May 2021 to November 2023., Exposure: SCD was assessed longitudinally using a single question and considered present if endorsed at the last cognitively normal visit. It was treated as a time-varying variable, beginning at the first of consecutive, cognitively normal visits, including the last, at which it was endorsed., Main Outcomes and Measures: Consensus-diagnosed MCI, AD, and all-cause dementia., Results: This study included 3585 participants (mean [SD] baseline age, 68.0 [7.7] years; 1975 female [55.1%]). A total of 1596 participants (44.5%) had SCD, and 770 (21.5%) were carriers of APOE ε4. APOE ε4 and tertiles of AD PRS status did not significantly differ between the SCD and non-SCD groups. MCI, AD, and all-cause dementia were diagnosed in 236 participants (6.6%), 73 participants (2.0%), and 89 participants (2.5%), respectively, during follow-up. On average, SCD preceded MCI by 4.4 years, AD by 6.8 years, and all-cause dementia by 6.9 years. SCD was significantly associated with survival time to MCI (hazard ratio [HR], 1.57; 95% CI, 1.22-2.03; P <.001), AD (HR, 2.98; 95% CI, 1.89-4.70; P <.001), and all-cause dementia (HR, 2.14; 95% CI, 1.44-3.18; P <.001). After adjustment for APOE and AD PRS, the hazards of SCD were largely unchanged., Conclusions and Relevance: Results of this cohort study suggest that in a community setting, SCD reflecting SCD+ features was associated with an increased risk of future MCI, AD, and all-cause dementia with similar hazards estimated in clinic-based settings. SCD may be an independent risk factor for AD and other dementias beyond the risk incurred by APOE ε4 and AD PRS.

Published
2024
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43. Subjective cognitive concerns, APOE ε4, PTSD symptoms, and risk for dementia among older veterans.

Author

Neale ZE, Fonda JR, Miller MW, Wolf EJ, Zhang R, Sherva R, Harrington KM, Merritt V, Panizzon MS, Hauger RL, Gaziano JM, and Logue MW

Subjects
Aged, Aged, 80 and over, Female, Humans, Male, Brain Injuries, Traumatic genetics, Brain Injuries, Traumatic psychology, Retrospective Studies, Risk Factors, United States epidemiology, Apolipoprotein E4 genetics, Dementia genetics, Dementia epidemiology, Stress Disorders, Post-Traumatic genetics, Stress Disorders, Post-Traumatic epidemiology, Veterans
Abstract

Background: Posttraumatic stress disorder (PTSD) and traumatic brain injury (TBI) are associated with self-reported problems with cognition as well as risk for Alzheimer's disease and related dementias (ADRD). Overlapping symptom profiles observed in cognitive disorders, psychiatric disorders, and environmental exposures (e.g., head injury) can complicate the detection of early signs of ADRD. The interplay between PTSD, head injury, subjective (self-reported) cognitive concerns and genetic risk for ADRD is also not well understood, particularly in diverse ancestry groups., Methods: Using data from the U.S. Department of Veterans Affairs (VA) Million Veteran Program (MVP), we examined the relationship between dementia risk factors (APOE ε4, PTSD, TBI) and subjective cognitive concerns (SCC) measured in individuals of European (n = 140,921), African (n = 15,788), and Hispanic (n = 8,064) ancestry (EA, AA, and HA, respectively). We then used data from the VA electronic medical record to perform a retrospective survival analysis evaluating PTSD, TBI, APOE ε4, and SCC and their associations with risk of conversion to ADRD in Veterans aged 65 and older., Results: PTSD symptoms (B = 0.50-0.52, p < 1E-250) and probable TBI (B = 0.05-0.19, p = 1.51E-07 - 0.002) were positively associated with SCC across all three ancestry groups. APOE ε4 was associated with greater SCC in EA Veterans aged 65 and older (B = 0.037, p = 1.88E-12). Results of Cox models indicated that PTSD symptoms (hazard ratio [HR] = 1.13-1.21), APOE ε4 (HR = 1.73-2.05) and SCC (HR = 1.18-1.37) were positively associated with risk for ADRD across all three ancestry groups. In the EA group, probable TBI also contributed to increased risk of ADRD (HR = 1.18)., Conclusions: The findings underscore the value of SCC as an indicator of ADRD risk in Veterans 65 and older when considered in conjunction with other influential genetic, clinical, and demographic risk factors., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Published
2024
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44. The Role of X Chromosome in Alzheimer's Disease Genetics.

Author

Belloy ME, Guen YL, Stewart I, Herz J, Sherva R, Zhang R, Merritt V, Panizzon MS, Hauger RL, Gaziano JM, Logue M, Napolioni V, and Greicius MD

Abstract

Importance: The X chromosome has remained enigmatic in Alzheimer's disease (AD), yet it makes up 5% of the genome and carries a high proportion of genes expressed in the brain, making it particularly appealing as a potential source of unexplored genetic variation in AD., Objectives: Perform the first large-scale X chromosome-wide association study (XWAS) of AD. Primary analyses are non-stratified, while secondary analyses evaluate sex-stratified effects., Design: Meta-analysis of genetic association studies in case-control, family-based, population-based, and longitudinal AD-related cohorts from the US Alzheimer's Disease Genetics Consortium (ADGC) and Alzheimer's Disease Sequencing Project (ADSP), the UK Biobank (UKB), the Finnish health registry (FinnGen), and the US Million Veterans Program (MVP). Risk for AD evaluated through case-control logistic regression analyses. Data were analyzed between January 2023 and March 2024., Setting: Genetic data available from high-density single-nucleotide polymorphism (SNP) microarrays and whole-genome sequencing (WGS). Summary statistics for multi-tissue expression and protein quantitative trait loci (QTL) available from published studies, enabling follow-up genetic colocalization analyses., Participants: 1,629,863 eligible participants were selected from referred and volunteer samples, of which 477,596 were excluded for analysis exclusion criteria. Number of participants who declined to participate in original studies was not available., Main Outcome and Measures: Risk for AD (odds ratio; OR) with 95% confidence intervals (CI). Associations were considered at X-chromosome-wide (P-value<1e-5) and genome-wide (P-value<5e-8) significance., Results: Analyses included 1,152,284 non-Hispanic White European ancestry subjects (57.3% females), including 138,558 cases. 6 independent genetic loci passed X-chromosome-wide significance, with 4 showing support for causal links between the genetic signal for AD and expression of nearby genes in brain and non-brain tissues. One of these 4 loci passed conservative genome-wide significance, with its lead variant centered on an intron of SLC9A7 (OR=1.054, 95%-CI=[1.035, 1.075]) and colocalization analyses prioritizing both the SLC9A7 and nearby CHST7 genes., Conclusion and Relevance: We performed the first large-scale XWAS of AD and identified the novel SLC9A7 locus. SLC9A7 regulates pH homeostasis in Golgi secretory compartments and is anticipated to have downstream effects on amyloid beta accumulation. Overall, this study significantly advances our knowledge of AD genetics and may provide novel biological drug targets., Competing Interests: Competing/Conflicting interests The authors declare no competing or conflicting interests.

Published
2024
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45. No Replication of Alzheimer's Disease Genetics as a Moderator of Combat Exposure's Association with PTSD risk in 138,592 Combat Veterans.

Author

Wolf EJ, Miller MW, Zhang R, Sherva R, Harrington KM, Fonda JR, Daskalakis NP, Gaziano JM, and Logue MW

Abstract

Large-scale cohort and epidemiological studies suggest that posttraumatic stress disorder (PTSD) confers risk for late-onset Alzheimer's disease (AD) and related dementias (ADRD); however, the basis for this association remains unclear. Several prior studies of military Veterans have reported that carriers of the apolipoprotein E ( APOE ) ε4 gene variant are at heightened risk for the development of PTSD following combat exposure, suggesting that PTSD and ADRD may share some genetic risk. This cohort study was designed to further examine the hypothesis that ADRD genetic risk also confers risk for PTSD. To do so, we examined APOE ε4 and ε2 genotypes, an AD polygenic risk score (PRS), and other Veteran-relevant risk factors for PTSD in age-stratified groups of individuals of European ( n = 123,372) and African ( n = 15,220) ancestry in the US Department of Veterans Affairs' Million Veteran Program. Analyses revealed no significant main effect associations between the APOE ε4 (or ε2) genotype or the AD PRS on PTSD severity or diagnosis. There were also no significant interactions between measures of AD genetic risk and either combat exposure severity or history of head injury in association with PTSD in any age group. We conclude that the association between PTSD and the primary ADRD genetic risk factor, APOE ε4, that was reported previously was not replicable in the largest relevant dataset in the world. Thus, the epidemiological association between PTSD and ADRD is not likely to be driven by the major genetic factors underlying ADRD risk.

Published
2024
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46. DNA from multiple viral species is associated with Alzheimer's disease risk.

Author

Tejeda M, Farrell J, Zhu C, Wetzler L, Lunetta KL, Bush WS, Martin ER, Wang LS, Schellenberg GD, Pericak-Vance MA, Haines JL, Farrer LA, and Sherva R

Subjects
Humans, Phylogeny, DNA, Alzheimer Disease complications, Herpes Simplex, Herpesvirus 1, Human genetics
Abstract

Introduction: Multiple infectious agents, including viruses, bacteria, fungi, and protozoa, have been linked to Alzheimer's disease (AD) risk by independent lines of evidence. We explored this association by comparing the frequencies of viral species identified in a large sample of AD cases and controls., Methods: DNA sequence reads that did not align to the human genome in sequences were mapped to viral reference sequences, quantified, and then were tested for association with AD in whole exome sequences (WES) and whole genome sequences (WGS) datasets., Results: Several viruses were significant predictors of AD according to the machine learning classifiers. Subsequent regression analyses showed that herpes simplex type 1 (HSV-1) (odds ratio [OR] = 3.71, p = 8.03 × 10-4) and human papillomavirus 71 (HPV-71; OR = 3.56, p = 0.02), were significantly associated with AD after Bonferroni correction. The phylogenetic-related cluster of Herpesviridae was significantly associated with AD in several strata of the data (p < 0.01)., Discussion: Our results support the hypothesis that viral infection, especially HSV-1, is associated with AD risk., (© 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

Published
2024
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47. A novel principal component based method for identifying differentially methylated regions in Illumina Infinium MethylationEPIC BeadChip data.

Author

Zheng Y, Lunetta KL, Liu C, Smith AK, Sherva R, Miller MW, and Logue MW

Subjects
Epigenome, Phenotype, Smoking, CpG Islands, Genome-Wide Association Study, Epigenesis, Genetic, DNA Methylation
Abstract

Differentially methylated regions (DMRs) are genomic regions with methylation patterns across multiple CpG sites that are associated with a phenotype. In this study, we proposed a Principal Component (PC) based DMR analysis method for use with data generated using the Illumina Infinium MethylationEPIC BeadChip (EPIC) array. We obtained methylation residuals by regressing the M-values of CpGs within a region on covariates, extracted PCs of the residuals, and then combined association information across PCs to obtain regional significance. Simulation-based genome-wide false positive (GFP) rates and true positive rates were estimated under a variety of conditions before determining the final version of our method, which we have named DMR PC . Then, DMR PC and another DMR method, coMethDMR, were used to perform epigenome-wide analyses of several phenotypes known to have multiple associated methylation loci (age, sex, and smoking) in a discovery and a replication cohort. Among regions that were analysed by both methods, DMR PC identified 50% more genome-wide significant age-associated DMRs than coMethDMR. The replication rate for the loci that were identified by only DMR PC was higher than the rate for those that were identified by only coMethDMR (90% for DMRPC vs. 76% for coMethDMR). Furthermore, DMR PC identified replicable associations in regions of moderate between-CpG correlation which are typically not analysed by coMethDMR. For the analyses of sex and smoking, the advantage of DMR PC was less clear. In conclusion, DMR PC is a new powerful DMR discovery tool that retains power in genomic regions with moderate correlation across CpGs.

Published
2023
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48. A genome-wide search for pleiotropy in more than 100,000 harmonized longitudinal cognitive domain scores.

Author

Kang M, Ang TFA, Devine SA, Sherva R, Mukherjee S, Trittschuh EH, Gibbons LE, Scollard P, Lee M, Choi SE, Klinedinst B, Nakano C, Dumitrescu LC, Durant A, Hohman TJ, Cuccaro ML, Saykin AJ, Kukull WA, Bennett DA, Wang LS, Mayeux RP, Haines JL, Pericak-Vance MA, Schellenberg GD, Crane PK, Au R, Lunetta KL, Mez JB, and Farrer LA

Subjects
Humans, Cognition, Cyclin-Dependent Kinases genetics, Male, Female, Alzheimer Disease genetics, Genome-Wide Association Study
Abstract

Background: More than 75 common variant loci account for only a portion of the heritability for Alzheimer's disease (AD). A more complete understanding of the genetic basis of AD can be deduced by exploring associations with AD-related endophenotypes., Methods: We conducted genome-wide scans for cognitive domain performance using harmonized and co-calibrated scores derived by confirmatory factor analyses for executive function, language, and memory. We analyzed 103,796 longitudinal observations from 23,066 members of community-based (FHS, ACT, and ROSMAP) and clinic-based (ADRCs and ADNI) cohorts using generalized linear mixed models including terms for SNP, age, SNP × age interaction, sex, education, and five ancestry principal components. Significance was determined based on a joint test of the SNP's main effect and interaction with age. Results across datasets were combined using inverse-variance meta-analysis. Genome-wide tests of pleiotropy for each domain pair as the outcome were performed using PLACO software., Results: Individual domain and pleiotropy analyses revealed genome-wide significant (GWS) associations with five established loci for AD and AD-related disorders (BIN1, CR1, GRN, MS4A6A, and APOE) and eight novel loci. ULK2 was associated with executive function in the community-based cohorts (rs157405, P = 2.19 × 10 -9 ). GWS associations for language were identified with CDK14 in the clinic-based cohorts (rs705353, P = 1.73 × 10 -8 ) and LINC02712 in the total sample (rs145012974, P = 3.66 × 10 -8 ). GRN (rs5848, P = 4.21 × 10 -8 ) and PURG (rs117523305, P = 1.73 × 10 -8 ) were associated with memory in the total and community-based cohorts, respectively. GWS pleiotropy was observed for language and memory with LOC107984373 (rs73005629, P = 3.12 × 10 -8 ) in the clinic-based cohorts, and with NCALD (rs56162098, P = 1.23 × 10 -9 ) and PTPRD (rs145989094, P = 8.34 × 10 -9 ) in the community-based cohorts. GWS pleiotropy was also found for executive function and memory with OSGIN1 (rs12447050, P = 4.09 × 10 -8 ) and PTPRD (rs145989094, P = 3.85 × 10 -8 ) in the community-based cohorts. Functional studies have previously linked AD to ULK2, NCALD, and PTPRD., Conclusion: Our results provide some insight into biological pathways underlying processes leading to domain-specific cognitive impairment and AD, as well as a conduit toward a syndrome-specific precision medicine approach to AD. Increasing the number of participants with harmonized cognitive domain scores will enhance the discovery of additional genetic factors of cognitive decline leading to AD and related dementias., (© 2023. The Author(s).)

Published
2023
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49. Alzheimer's disease and related dementias among aging veterans: Examining gene-by-environment interactions with post-traumatic stress disorder and traumatic brain injury.

Author

Logue MW, Miller MW, Sherva R, Zhang R, Harrington KM, Fonda JR, Merritt VC, Panizzon MS, Hauger RL, Wolf EJ, Neale Z, and Gaziano JM

Subjects
Humans, Apolipoprotein E4 genetics, Gene-Environment Interaction, Aging, Veterans, Stress Disorders, Post-Traumatic epidemiology, Stress Disorders, Post-Traumatic genetics, Alzheimer Disease epidemiology, Alzheimer Disease genetics, Brain Injuries, Traumatic epidemiology, Brain Injuries, Traumatic genetics
Abstract

Introduction: Post-traumatic stress disorder (PTSD) and traumatic brain injury (TBI) confer risk for Alzheimer's disease and related dementias (ADRD)., Methods: This study from the Million Veteran Program (MVP) evaluated the impact of apolipoprotein E (APOE) ε4, PTSD, and TBI on ADRD prevalence in veteran cohorts of European ancestry (EA; n = 11,112 ADRD cases, 170,361 controls) and African ancestry (AA; n = 1443 ADRD cases, 16,191 controls). Additive-scale interactions were estimated using the relative excess risk due to interaction (RERI) statistic., Results: PTSD, TBI, and APOE ε4 showed strong main-effect associations with ADRD. RERI analysis revealed significant additive APOE ε4 interactions with PTSD and TBI in the EA cohort and TBI in the AA cohort. These additive interactions indicate that ADRD prevalence associated with PTSD and TBI increased with the number of inherited APOE ε4 alleles., Discussion: PTSD and TBI history will be an important part of interpreting the results of ADRD genetic testing and doing accurate ADRD risk assessment., (© 2022 Alzheimer's Association. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Published
2023
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50. A systems biology approach uncovers novel disease mechanisms in age-related macular degeneration.

Author

Orozco LD, Owen LA, Hofmann J, Stockwell AD, Tao J, Haller S, Mukundan VT, Clarke C, Lund J, Sridhar A, Mayba O, Barr JL, Zavala RA, Graves EC, Zhang C, Husami N, Finley R, Au E, Lillvis JH, Farkas MH, Shakoor A, Sherva R, Kim IK, Kaminker JS, Townsend MJ, Farrer LA, Yaspan BL, Chen HH, and DeAngelis MM

Abstract

Age-related macular degeneration (AMD) is a leading cause of blindness, affecting 200 million people worldwide. To identify genes that could be targeted for treatment, we created a molecular atlas at different stages of AMD. Our resource is comprised of RNA sequencing (RNA-seq) and DNA methylation microarrays from bulk macular retinal pigment epithelium (RPE)/choroid of clinically phenotyped normal and AMD donor eyes (n = 85), single-nucleus RNA-seq (164,399 cells), and single-nucleus assay for transposase-accessible chromatin (ATAC)-seq (125,822 cells) from the retina, RPE, and choroid of 6 AMD and 7 control donors. We identified 23 genome-wide significant loci differentially methylated in AMD, over 1,000 differentially expressed genes across different disease stages, and an AMD Müller state distinct from normal or gliosis. Chromatin accessibility peaks in genome-wide association study (GWAS) loci revealed putative causal genes for AMD, including HTRA1 and C6orf223 . Our systems biology approach uncovered molecular mechanisms underlying AMD, including regulators of WNT signaling, FRZB and TLE2 , as mechanistic players in disease., Competing Interests: L.D.O., J.H., A.D.S., J.T., S.H., V.T.M., C.C., J.L., A. Sridhar, O.M., J.S.K., M.J.T., B.L.Y., and H.-H.C. are employees and shareholders of Genentech/Roche. I.K.K. is a consultant for Kodiak Sciences and Biophytis and receives research funding from Allergen. M.M.D. has a research grant from Genentech/Roche., (© 2023 The Authors.)

Published
2023
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