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dc.date.accessioned2021-10-27T20:08:53Z
dc.date.available2021-10-27T20:08:53Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/134731
dc.description.abstract© 2019, The Author(s), under exclusive licence to Springer Nature America, Inc. Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6–11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures.
dc.language.isoen
dc.publisherSpringer Nature
dc.relation.isversionof10.1038/s41588-018-0307-5
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcePMC
dc.titleAssociation studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use
dc.typeArticle
dc.relation.journalNature Genetics
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-07-18T13:40:47Z
dspace.orderedauthorsLiu, M; Jiang, Y; Wedow, R; Li, Y; Brazel, DM; Chen, F; Datta, G; Davila-Velderrain, J; McGuire, D; Tian, C; Zhan, X; Choquet, H; Docherty, AR; Faul, JD; Foerster, JR; Fritsche, LG; Gabrielsen, ME; Gordon, SD; Haessler, J; Hottenga, J-J; Huang, H; Jang, S-K; Jansen, PR; Ling, Y; Mägi, R; Matoba, N; McMahon, G; Mulas, A; Orrù, V; Palviainen, T; Pandit, A; Reginsson, GW; Skogholt, AH; Smith, JA; Taylor, AE; Turman, C; Willemsen, G; Young, H; Young, KA; Zajac, GJM; Zhao, W; Zhou, W; Bjornsdottir, G; Boardman, JD; Boehnke, M; Boomsma, DI; Chen, C; Cucca, F; Davies, GE; Eaton, CB; Ehringer, MA; Esko, T; Fiorillo, E; Gillespie, NA; Gudbjartsson, DF; Haller, T; Harris, KM; Heath, AC; Hewitt, JK; Hickie, IB; Hokanson, JE; Hopfer, CJ; Hunter, DJ; Iacono, WG; Johnson, EO; Kamatani, Y; Kardia, SLR; Keller, MC; Kellis, M; Kooperberg, C; Kraft, P; Krauter, KS; Laakso, M; Lind, PA; Loukola, A; Lutz, SM; Madden, PAF; Martin, NG; McGue, M; McQueen, MB; Medland, SE; Metspalu, A; Mohlke, KL; Nielsen, JB; Okada, Y; Peters, U; Polderman, TJC; Posthuma, D; Reiner, AP; Rice, JP; Rimm, E; Rose, RJ; Runarsdottir, V; Stallings, MC; Stančáková, A; Stefansson, H; Thai, KK; Tindle, HA; Tyrfingsson, T; Wall, TL; Weir, DR; Weisner, C; Whitfield, JB; Winsvold, BS; Yin, J; Zuccolo, L; Bierut, LJ; Hveem, K; Lee, JJ; Munafò, MR; Saccone, NL; Willer, CJ; Cornelis, MC; David, SP; Hinds, DA; Jorgenson, E; Kaprio, J; Stitzel, JA; Stefansson, K; Thorgeirsson, TE; Abecasis, G; Liu, DJ; Vrieze, S
dspace.date.submission2019-07-18T13:40:48Z
mit.journal.volume51
mit.journal.issue2
mit.metadata.statusAuthority Work and Publication Information Needed


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