The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample.
paper
Primary
Public
- Authors
- Johnson, Emma C; St Pierre, Celine L; Meyers, Jacquelyn L; Aliev, Fazil; McCutcheon, Vivia V; Lai, Dongbing; Dick, Danielle M; Goate, Alison M; Kramer, John; Kuperman, Samuel; Nurnberger, John I; Schuckit, Marc A; Porjesz, Bernice; Edenberg, Howard J; Bucholz, Kathleen K; Agrawal, Arpana
- Year
- 2019
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 30994927
- DOI
- 10.1111/acer.14064
- PMCID
- PMC6560626
BACKGROUND: Genomewide association studies (GWAS) have begun to identify loci related to alcohol consumption, but little is known about whether this genetic propensity overlaps with specific indices of problem drinking in ascertained samples. METHODS: In 6,731 European Americans who had been exposed to alcohol, we examined whether polygenic risk scores (PRS) from a GWAS of weekly alcohol consumption in the UK Biobank predicted variance in 6 alcohol-related phenotypes: alcohol use, maximum drinks within 24 hours (MAXD), total score on the Self-Rating of the Effects of Ethanol Questionnaire (SRE-T), DSM-IV alcohol dependence (DSM4AD), DSM-5 alcohol use disorder symptom counts (DSM5AUDSX), and reduction/cessation of problematic drinking. We also examined the extent to which an single nucleotide polymorphism (rs1229984) in ADH1B, which is strongly associated with both alcohol consumption and dependence, contributed to the polygenic association with these phenotypes and whether PRS interacted with sex, age, or family history of alcoholism to predict alcohol-related outcomes. We performed mixed-effect regression analyses, with family membership and recruitment site included as random effects, as well as survival modeling of age of onset of DSM4AD. RESULTS: PRS for alcohol consumption significantly predicted variance in 5 of the 6 outcomes: alcohol use (Δmarginal R = 1.39%, Δ area under the curve [AUC] = 0.011), DSM4AD (Δmarginal R = 0.56%; ΔAUC = 0.003), DSM5AUDSX (Δmarginal R = 0.49%), MAXD (Δmarginal R = 0.31%), and SRE-T (Δmarginal R = 0.22%). PRS were also associated with onset of DSM4AD (hazard ratio = 1.11, p = 2.08e-5). The inclusion of rs1229984 attenuated the effects of the alcohol consumption PRS, particularly for DSM4AD and DSM5AUDSX, but the PRS continued to exert an independent effect for all 5 alcohol measures (Δmarginal R after controlling for ADH1B = 0.14 to 1.22%). Interactions between PRS and sex, age, or family history were nonsignificant. CONCLUSIONS: Genetic propensity for typical alcohol consumption was associated with alcohol use and was also associated with 4 of the additional 5 outcomes, though the variance explained in this sample was modest. Future GWAS that focus on the multifaceted nature of AUD, which goes beyond consumption, might reveal additional information regarding the polygenic underpinnings of problem drinking.
Survival curves representing the relationship between age of onset of alcohol dependence and quartiles of polygenic risk for alcohol consumption.Panel A: survival curves adjusted for sex, age at last interview, birth cohort, array type, total number of interviews and ancestral principal components; Panel B: adjusted for covariates in Panel A as well as for rs1229984 in ADH1B. Panel A (adjusted for sex, age at last interview, birth cohort, array type, total number of interviews and ancestral principal components) Panel B (adjusted for sex, age at last interview, birth cohort, array type, total number of interviews and ancestral principal components, and ADH1B rs1229984)
No entities extracted from this document yet.
No uploaded files.
Not in any collection.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| 1000 Genomes Project Consortium. (2015). A global reference for human genetic variation. Nature, 526(7571), 68.2643224510.1038/nature15393PMC4750478 | — | — | — |
| AgerboE, SullivanPF, VilhjalmssonBJ, PedersenCB, MorsO, BørglumAD, HougaardDM, HollegaardMV, MeierS, MattheisenM, RipkeS, WrayNR, MortensenPB (2015). Polygenic risk score, parental socioeconomic status, family history of psychiatric disorders, and the risk for schizophrenia: a Danish population-based study and meta-analysis. JAMA Psychiatry, 72(7), 635–641.2583047710.1001/jamapsychiatry.2015.0346 | — | — | — |
| AgrawalA, GrantJD, LittlefieldA, WaldronM, PergadiaML, LynskeyMT, MaddenPA, TodorovA, TrullT, BucholzKK, ToddRD, SherK, HeathAC (2009). Developing a quantitative measure of alcohol consumption for genomic studies on prospective cohorts. Journal of Studies on Alcohol and Drugs, 70(2), 157–168.1926122710.15288/jsad.2009.70.157PMC2653602 | — | — | — |
| AgrawalA, LynskeyMT, HeathAC, ChassinL (2011). Developing a genetically informative measure of alcohol consumption using past-12-month indices. Journal of Studies on Alcohol and Drugs, 72(3), 444–452.2151368110.15288/jsad.2011.72.444PMC3084359 | — | — | — |
| American Psychiatric Association. (2000). American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. American Psychiatric Publishing, Inc. | — | — | — |
| American Psychiatric Association. (2013). American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. American Psychiatric Publishing, Inc. | — | — | — |
| BartońK (2012). MuMIn: multi-model inference: R package See: http://cran.r-project.org/web/packages/MuMIn/index.html. | — | — | — |
| BegleiterH, ReichT, HesselbrockV, PorieszB, LiTK, SchuckitMA, EdenbergHJ, RiceJP (1995). The collaborative study on the genetics of alcoholism. Alcohol Health & Research World, 19(3), 228–237.PMC687576831798102 | — | — | — |
| BierutLJ, GoateAM, BreslauN, JohnsonEO, BertelsenS, FoxL, AgrawalA, BucholzKK, GruczaR, HesselbrockV, KramerJ, KupermanS, NurnbergerJI, PorjeszB, SacconeNL, SchuckitMA, TischfieldJ, WangJ, ForoudTM, RiceJP, EdenbergHJ (2012). ADH1B is associated with alcohol dependence and alcohol consumption in populations of European and African ancestry. Molecular Psychiatry, 17(4), 445.2196892810.1038/mp.2011.124PMC3252425 | — | — | — |
| BogdanR, BarangerDAA, AgrawalA (2018). Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. Annual Review of Clinical Psychology, 14(1), 119–157.10.1146/annurev-clinpsy-050817-084847PMC777293929579395 | — | — | — |
| BucholzKK, CadoretR, CloningerCR, DinwiddieSH, HesselbrockVM, NurnbergerJIJr, ReichT, SchmidtI, SchuckitMA (1994). A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA. Journal of Studies on Alcohol, 55(2), 149–158.818973510.15288/jsa.1994.55.149 | — | — | — |
| BucholzKK, McCutcheonVV, AgrawalA, DickDM, HesselbrockVM, KramerJR, KramerJR, KupermanS, NurnbergerJIJr, SalvatoreJE, SchuckitMA, BierutLJ, ForoudTM, ChanG, HesselbrockM, MeyersJL, EdenbergHJ, PorjeszB (2017). Comparison of Parent, Peer, Psychiatric, and Cannabis Use Influences Across Stages of Offspring Alcohol Involvement: Evidence from the COGA Prospective Study. Alcoholism: Clinical and Experimental Research, 41(2), 359–368.10.1111/acer.13293PMC527277628073157 | — | — | — |
| Bulik-SullivanB, FinucaneHK, AnttilaV, GusevA DayFR, LohP-R, ReproGen Consortium, Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, DuncanL., PerryJRB, PattersonN, RobinsonEB, DalyMJ PriceAL NealeBM (2015). An atlas of genetic correlations across human diseases and traits. Nature genetics, 47(11), p.1236.2641467610.1038/ng.3406PMC4797329 | — | — | — |
| ClarkeT-K, AdamsMJ, DaviesG, HowardDM, HallLS, PadmanabhanS, MurrayAD, SmithBH, CampbellA, HaywardC, PorteousDJ, DearyIJ, McIntoshAM (2017). Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N= 112 117). Molecular psychiatry, 22(10), 1376.2893769310.1038/mp.2017.153PMC5622124 | — | — | — |
| DasS, ForerL, SchönherrS, SidoreC, LockeAE, KwongA, VriezeSI, ChewEY, LevyS, McGueM, SchlessingerD, StambolianD, LohP-R, IaconoWG, SwaroopA, ScottLJ, CuccaF, KronenbergF, BoehnkeM, AbecasisGR, FuchsbergerC (2016). Next-generation genotype imputation service and methods. Nature genetics, 48(10), 1284.2757126310.1038/ng.3656PMC5157836 | — | — | — |
| DelaneauO, ZaguryJF, MarchiniJ (2012). Improved whole-chromosome phasing for disease and population genetic studies. Nature methods, 10(1), 5.10.1038/nmeth.230723269371 | — | — | — |
| DickDM, MeyersJL, RoseRJ, KaprioJ, KendlerKS (2011). Measures of current alcohol consumption and problems: two independent twin studies suggest a complex genetic architecture. Alcoholism: Clinical and Experimental Research, 35(12), 2152–2161.10.1111/j.1530-0277.2011.01564.xPMC321584721689117 | — | — | — |
| DudbridgeF (2013). Power and predictive accuracy of polygenic risk scores. PLoS genetics, 9(3), e1003348.2355527410.1371/journal.pgen.1003348PMC3605113 | — | — | — |
| EdenbergHJ (2007). The Genetics of Alcohol Metabolism: Role of Alcohol Dehydrogenase and Aldehyde Dehydrogenase Variants. Alcohol Research & Health, 30(1), 5–13.17718394PMC3860432 | — | — | — |
| EdenbergHJ, McClintickJN (2018). Alcohol Dehydrogenases, Aldehyde Dehydrogenases, and Alcohol Use Disorders: A Critical Review. Alcoholism: Clinical and Experimental Research, 42(12), 2281–2297.10.1111/acer.13904PMC628625030320893 | — | — | — |
| EdwardsAC, DeakJD, GizerIR, LaiD, ChatzinakosC, WilhelmsenKP, LindsayJ, HeronJ, HickmanM, WebbBT, BacanuS-A, ForoudTM, KendlerKS, DickDM, SchuckitMA (2018). Meta‐Analysis of Genetic Influences on Initial Alcohol Sensitivity. Alcoholism: Clinical and Experimental Research, 42(12), 2349–2359.10.1111/acer.13896PMC628621130276832 | — | — | — |
| GrantJD, AgrawalA, BucholzKK, MaddenPAF, PergadiaML, NelsonEC, LynskeyMT, ToddRD, TodorovAA, HansellNK, WhitfieldJB, MartinNG, HeathAC (2009). Alcohol consumption indices of genetic risk for alcohol dependence. Biological psychiatry, 66(8), 795–800.1957657410.1016/j.biopsych.2009.05.018PMC3077105 | — | — | — |
| GrattenJ, WrayNR, KellerMC, VisscherPM (2014). Large-scale genomics unveils the genetic architecture of psychiatric disorders. Nature Neuroscience, 17, 782.2486604410.1038/nn.3708PMC4112149 | — | — | — |
| HeathAC, MartinNG (1994). Genetic Influences on Alcohol Consumption Patterns and Problem Drinking: Results from the Australian NH&MRC Twin Panel Follow‐up Survey. Annals of the New York Academy of Sciences, 708(1), 72–85.815469110.1111/j.1749-6632.1994.tb24699.x | — | — | — |
| HesselbrockM, EastonC, BucholzKK, SchuckitM, HesselbrockV (1999). A validity study of the SSAGA‐a comparison with the SCAN. Addiction, 94(9), 1361–1370.1061572110.1046/j.1360-0443.1999.94913618.x | — | — | — |
| International Schizophrenia Consortium. (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature, 460(7256), 748.1957181110.1038/nature08185PMC3912837 | — | — | — |
| JorgensonE, ThaiKK, HoffmannTJ, SakodaLC, KvaleMN, BandaY, SchaeferC, RischN, MertensJ, WeisnerC, ChoquetH (2017). Genetic contributors to variation in alcohol consumption vary by race/ethnicity in a large multi-ethnic genome-wide association study. Molecular psychiatry, 22(9), 1359.2848540410.1038/mp.2017.101PMC5568932 | — | — | — |
| KaluN, RamchandaniVA, MarshallV, ScottD, FergusonC, CainG, TaylorR (2012). Heritability of Level of Response and Association with Recent Drinking History in Nonalcohol‐Dependent Drinkers. Alcoholism: Clinical and Experimental Research, 36(6), 1034–1041.10.1111/j.1530-0277.2011.01699.xPMC333445722235947 | — | — | — |
| KarpyakVM, BiernackaJM, GeskeJR, JenkinsGD, CunninghamJM, RüeggJ, KononenkoO, LeontovichAA, AbulseoudOA, Hall-FlavinDK, LoukianovaLL, SchneeklothTD, SkimeMK, FrankJ, NöthenMM, RietschelM, KieferF, MannKF, WeinshilboumRM, FryeMA, ChoiD-S (2014). Genetic markers associated with abstinence length in alcohol-dependent subjects treated with acamprosate. Translational psychiatry, 4(10), e453.2529026310.1038/tp.2014.103PMC4350512 | — | — | — |
| KassambaraA, KosinskiM, BiecekP (2017). survminer: Drawing Survival Curves using’ggplot2’. R Package Version 0.3, 1. | — | — | — |
| KellerMC (2014). Gene× environment interaction studies have not properly controlled for potential confounders: the problem and the (simple) solution. Biological psychiatry, 75(1), 18–24.2413571110.1016/j.biopsych.2013.09.006PMC3859520 | — | — | — |
| KendlerKS, AggenSH, PrescottCA, CrabbeJ, NealeMC (2012). Evidence for multiple genetic factors underlying the DSM-IV criteria for alcohol dependence. Molecular Psychiatry, 17(12), 1306.2210562610.1038/mp.2011.153PMC3371163 | — | — | — |
| KendlerKS, MyersJ, DickD, PrescottCA (2010). The relationship between genetic influences on alcohol dependence and on patterns of alcohol consumption. Alcoholism: Clinical and Experimental Research, 34(6), 1058–1065.10.1111/j.1530-0277.2010.01181.xPMC301020920374207 | — | — | — |
| KoobG, KreekMJ (2007). Stress, dysregulation of drug reward pathways, and the transition to drug dependence. American Journal of Psychiatry, 164(8), 1149–1159.1767127610.1176/appi.ajp.2007.05030503PMC2837343 | — | — | — |
| KranzlerH, ZhouH, KemberR, SmithRV, JusticeA, DamrauerS, TsaoPS, KlarinD, RaderDJ, ChengZ, TateJP, BeckerWC, ConcatoJ, XuK, PolimantiR, ZhaoH, GelernterJ (2019). Genome-wide Association Study of Alcohol Consumption and Use Disorder in Multiple Populations (N= 274,424). bioRxiv, 527929. | — | — | — |
| LiuM, JiangY, WedowR, LiY, BrazelDM, ChenF, DattaG, Davila-VelderrainJ, McGuireD, TianC, ZhanX, AgeeM, AlipanahiB, AutonA, BellRK, BrycK, ElsonSL, FontanillasP, FurlotteNA, HindsDA, HromatkaBS, HuberKE, KleinmanA, LittermanNK, McIntyreMH, MountainJL, NorthoverCAM, SathirapongsasutiJF, SazonovaOV, SheltonJF, ShringarpureS, TianC, TungJY, VacicV, WilsonCH, PittsSJ, MitchellA, SkogholtAH, WinsvoldBS, SivertsenB, StordalE, MorkenG, KallestadH, HeuchI, ZwartJ-A, FjukstadKK, PedersenLM, GabrielsenME, JohnsenMB, SkroveM, IndredavikMS, DrangeOK, BjerkesetO, BørteS, StenslandSØ, ChoquetH, DochertyAR, FaulJD, FoersterJR, FritscheLG, GabrielsenME, GordonSD, HaesslerJ, HottengaJ-J, HuangH, JangS-K, JansenPR, LingY, MägiR, MatobaN, McMahonG, MulasA, OrrùV, PalviainenT, PanditA, ReginssonGW, SkogholtAH, SmithJA, TaylorAE, TurmanC, WillemsenG, YoungH, YoungKA, ZajacGJM, ZhaoW, ZhouW, BjornsdottirG, BoardmanJD, BoehnkeM, BoomsmaDI, ChenC, CuccaF, DaviesGE, EatonCB, EhringerMA, EskoT, FiorilloE, GillespieNA, GudbjartssonDF, HallerT, HarrisKM, HeathAC, HewittJK, HickieIB, HokansonJE, HopferCJ, HunterDJ, IaconoWG, JohnsonEO, KamataniY, KardiaSLR, KellerMC, KellisM, KooperbergC, KraftP, KrauterKS, LaaksoM, LindPA, LoukolaA, LutzSM, MaddenPAF, MartinNG, McGueM, McQueenMB, MedlandSE, MetspaluA, MohlkeKL, NielsenJB, OkadaY, PetersU, PoldermanTJC, PosthumaD, ReinerAP, RiceJP, RimmE, RoseRJ, RunarsdottirV, StallingsMC, StančákováA, StefanssonH, ThaiKK, TindleHA, TyrfingssonT, WallTL, WeirDR, WeisnerC, WhitfieldJB, WinsvoldBS, YinJ, ZuccoloL, BierutLJ, HveemK, LeeJJ, MunafòMR, SacconeNL, WillerCJ, CornelisMC, DavidSP, HindsDA, JorgensonE, KaprioJ, StitzelJA, StefanssonK, ThorgeirssonTE, AbecasisG, LiuDJ, VriezeS (2019). Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature genetics, 1.10.1038/s41588-018-0307-5PMC635854230643251 | — | — | — |
| Lopez‐QuinteroC, HasinDS, De Los CobosJP, PinesA, WangS, GrantBF, BlancoC (2011). Probability and predictors of remission from life‐time nicotine, alcohol, cannabis or cocaine dependence: Results from the national epidemiologic survey on alcohol and related conditions. Addiction, 106(3), 657–669.2107797510.1111/j.1360-0443.2010.03194.xPMC3227547 | — | — | — |
| LuczakSE, GlattSJ, WallTJ (2006). Meta-analyses of ALDH2 and ADH1B with alcohol dependence in asians. Psychological Bulletin, 132, 607–621.1682216910.1037/0033-2909.132.4.607 | — | — | — |
| MartinAR, GignouxCR, WaltersRK, WojcikGL, NealeBM, GravelS, DalyMJ, BustamanteCD, KennyEE (2017). Human demographic history impacts genetic risk prediction across diverse populations. The American Journal of Human Genetics, 100(4), 635–649.2836644210.1016/j.ajhg.2017.03.004PMC5384097 | — | — | — |
| McCutcheonVV, SchuckitMA, KramerJR, ChanG, EdenbergHJ, SmithTL, BenderAK, HesselbrockV, HesselbrockM, BucholzKK (2017). Familial association of abstinent remission from alcohol use disorder in first-degree relatives of alcohol-dependent treatment-seeking probands. Addiction, 112(11), 1909–1917.2855649410.1111/add.13890PMC5633502 | — | — | — |
| MiesGW, VerweijKJH, TreurJL, LigthartL, FedkoIO, HottengaJJ, WillemsenG, BartelsM, BoomsmaDI, VinkJM (2018). Polygenic risk for alcohol consumption and its association with alcohol-related phenotypes: Do stress and life satisfaction moderate these relationships? Drug and Alcohol Dependence, 183, 7–12.2922064310.1016/j.drugalcdep.2017.10.018 | — | — | — |
| MunafòMR, TillingK, TaylorAE, EvansDM, Davey SmithG (2017). Collider scope: when selection bias can substantially influence observed associations. International Journal of Epidemiology, 47(1), 226–235.10.1093/ije/dyx206PMC583730629040562 | — | — | — |
| NakagawaS, SchielzethH (2012). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution, 4(2), 133–142. | — | — | — |
| National Institute on Alcohol Abuse and Alcoholism. (2004). NIAAA council approves definition of binge drinking. NIAAA Newsletter, 3(3). | — | — | — |
| NyholtDR (2004). A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other. The American Journal of Human Genetics, 74(4), 765–769.1499742010.1086/383251PMC1181954 | — | — | — |
| O’ConnellJR, & WeeksDE (1998). PedCheck: A Program for Identification of Genotype Incompatibilities in Linkage Analysis. The American Journal of Human Genetics, 63(1), 259–266.963450510.1086/301904PMC1377228 | — | — | — |
| PrescottCA, KendlerKS (1999). Genetic and environmental contributions to alcohol abuse and dependence in a population-based sample of male twins. American Journal of Psychiatry, 156(1), 34–40.989229510.1176/ajp.156.1.34 | — | — | — |
| PurcellS, NealeB, Todd-BrownK, ThomasL, FerreiraMAR, BenderD, MallerJ, SklarP, de BakkerPIW, DalyMJ, ShamPC (2007). PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses. The American Journal of Human Genetics10.1086/519795PMC195083817701901 | — | — | — |
| R Core Team. (2017). R: A language and environment for statistical computing Vienna, Austria: R Foundation for Statistical Computing. | — | — | — |
| RehmJ, MathersC, PopovaS, ThavorncharoensapM, TeerawattananonY, & PatraJ (2009). Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. The Lancet, 373(9682), 2223–2233.10.1016/S0140-6736(09)60746-719560604 | — | — | — |
| Sanchez-RoigeS, FontanillasP, ElsonSL, GrayJC, de WitH, DavisLK, MacKillopJ, PalmerAA (2017). Genome‐wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry. Addiction biology, 24(1), 121–131.2905837710.1111/adb.12574PMC6988186 | — | — | — |
| Sanchez-RoigeS, PalmerAA, FontanillasP, ElsonSL, the 23andMe Research Team, the Substance Use Disorder Working Group of the Psychiatric Genomics Consortium, AdamsMJ, HowardDM, EdenbergHJ, DaviesG, CristRC, DearyIJ, IAM, and ClarkeT-K (2018). Genome-wide association study meta-analysis of the Alcohol Use Disorders Identification Test (AUDIT) in two population-based cohorts. American Journal of Psychiatry, 176(2), 107–1183033670110.1176/appi.ajp.2018.18040369PMC6365681 | — | — | — |
| SavageJE, SalvatoreJE, AlievF, EdwardsAC, HickmanM, KendlerKS, MacleodJ, LatvalaA, LoukolaA, KaprioJ, RoseRJ, ChanG, HesselbrockV, WebbBT, AdkinsA, BigdeliTB, RileyBP, DickDM (2018), Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population‐Based and Clinically Ascertained Samples. Alcoholism: Clinical and Experimental Research, 42: 520–530.10.1111/acer.13589PMC583258929405378 | — | — | — |
| SchuckitMA (2018). A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity. Alcoholism: Clinical and Experimental Research, 42(5), 822–835.10.1111/acer.13628PMC591632629623680 | — | — | — |
| SchuckitMA, SmithTL (2013). Stability of scores and correlations with drinking behaviors over 15 years for the self-report of the effects of alcohol questionnaire. Drug and Alcohol Dependence, 128(3), 194–199.2298067510.1016/j.drugalcdep.2012.08.022PMC3537846 | — | — | — |
| SchuckitMA, SmithTL, DankoG, KramerJ, BucholzKK, McCutcheonV, ChanG, KupermanS, HesselbrockV, DickDM, HesselbrockM, PorjeszB, EdenbergHJ, NurnbergerJI, GreggM, SchoenL, KawamuraM, MendozaLA (2018). A 22-Year Follow-Up (Range 16 to 23) of Original Subjects with Baseline Alcohol Use Disorders from the Collaborative Study on Genetics of Alcoholism. Alcoholism: Clinical and Experimental Research, 0(0).10.1111/acer.13810PMC612078129975427 | — | — | — |
| SchuckitMA, SmithTL, TippJE (1997). The self‐rating of the effects of alcohol (SRE) form as a retrospective measure of the risk for alcoholism. Addiction, 92(8), 979–988.9376780 | — | — | — |
| SchuckitMA, SmithTL, TrimRS, HeronJ, HorwoodJ, DavisJ, HibbelnJ, ALSPAC Study Team. (2008). The self-rating of the effects of alcohol questionnaire as a predictor of alcohol-related outcomes in 12-year-old subjects. Alcohol & Alcoholism, 43(6), 641–646.1884553010.1093/alcalc/agn077PMC2720769 | — | — | — |
| SchumannG, CoinLJ, LourdusamyA, CharoenP, BergerKH, StaceyD, DesrivièresS, AlievFA, KhanAA, AminN, AulchenkoYS, BakalkinG, BakkerSJ, BalkauB, BeulensJW, BilbaoA, de BoerRA, BeuryD, BotsML, BreetveltEJ, CauchiS, Cavalcanti-ProençaC, ChambersJC, ClarkeT-K, DahmenN, de GeusEJ, DickD, DucciF, EastonA, EdenbergHJ, EskoT, Fernández-MedardeA, ForoudT, FreimerNB, GiraultJ-A, GrobbeeDE, GuarreraS, GudbjartssonDF, HartikainenA-L, HeathAC, HesselbrockV, HofmanA, HottengaJ-J, IsohanniMK, KaprioJ, KhawK-T, KuehnelB, LaitinenJ, LobbensS, LuanJ, ManginoM, MaroteauxM, MatulloG, McCarthyMI, MuellerC, NavisG, NumansME, NúñezA, NyholtDR, Onland-MoretCN, OostraBA, O’ReillyPF, PalkovitsM, PenninxBW, PolidoroS, PoutaA, ProkopenkoI, RicceriF, SantosE, SmitJH, SoranzoN, SongK, SovioU, StumvollM, SurakkI, ThorgeirssonTE, ThorsteinsdottirU, TroakesC, TyrfingssonT, TönjesA, UiterwaalCS, UitterlindenAG, van der HarstP, van der SchouwYT, StaehlinO, VogelzangsN, VollenweiderP, WaeberG, WarehamNJ, WaterworthDM, WhitfieldJB, WichmannEH, WillemsenG, WittemanJC, YuanX, ZhaiG, ZhaoJH, ZhangW, MartinNG, MetspaluA, DoeringA, ScottJ, SpectorTD, LoosRJ, BoomsmaDI, MooserV, PeltonenL, StefanssonK, van DuijnCM, VineisP, SommerWH, KoonerJS, SpanagelR, HeberleinUA, JarvelinM-R, ElliottP (2011). Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption. Proceedings of the National Academy of Sciences, 108(17), 7119–7124.10.1073/pnas.1017288108PMC308404821471458 | — | — | — |
| SchumannG, LiuC, O’ReillyP, GaoH, SongP, XuB, RuggeriB, AminN, JiaT, PreisS, LepeMS, AkiraS, BarbieriC, BaumeisterS, CauchiS, ClarkeT-K, EnrothS, FischerK, HällforsJ, HarrisSE, HieberS, HoferE, HottengaJ-J, JohanssonÅ, JoshiPK, KaartinenN, LaitinenJ, LemaitreR, LoukolaA, LuanJ, LyytikäinenL-P, ManginoM, ManichaikulA, MbarekH, MilaneschiY, MoayyeriA, MukamalK, NelsonC, NettletonJ, PartinenE, RawalR, RobinoA, RoseL, SalaC, SatohT, SchmidtR, SchrautK, ScottR, SmithAV, StarrJM, TeumerA, TrompetS, UitterlindenAG, VenturiniC, VergnaudA-C, VerweijN, VitartV, VuckovicD, WedenojaJ, YengoL, YuB, ZhangW, ZhaoJH, BoomsmaDI, ChambersJ, ChasmanDI, DanielaT, GeusE. de, DearyI, ErikssonJG, EskoT, EulenburgV, FrancoOH, FroguelP, GiegerC, GrabeHJ, GudnasonV, GyllenstenU, HarrisTB, HartikainenA-L, HeathAC, HockingL, HofmanA, HuthC, JarvelinM-R, JukemaJW, KaprioJ, KoonerJS, KutalikZ, LahtiJ, LangenbergC, LehtimäkiT, LiuY, MaddenPAF, MartinN, MorrisonA, PenninxB, PirastuN, PsatyB, RaitakariO, RidkerP, RoseR, RotterJI, SamaniNJ, SchmidtH, SpectorTD, StottD, StrachanD, TzoulakiI, HarstP. van der, DuijnC.M. van, Marques-VidalP, VollenweiderP, WarehamNJ, WhitfieldJB, WilsonJ, WolffenbuttelB, BakalkinG, EvangelouE, LiuY, RiceKM, DesrivièresS, KliewerSA, MangelsdorfDJ, MüllerCP, LevyD, ElliottP (2016). KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference. Proc Natl Acad Sci USA 113(50), 14372–14377.2791179510.1073/pnas.1611243113PMC5167198 | — | — | — |
| StockwellT, ZhaoJ, PanwarS, RoemerA, NaimiT, ChikritzhsT (2016). Do “moderate” drinkers have reduced mortality risk? A systematic review and meta-analysis of alcohol consumption and all-cause mortality. Journal of studies on alcohol and drugs, 77(2), 185–198.2699717410.15288/jsad.2016.77.185PMC4803651 | — | — | — |
| SwerdlowDI, KuchenbaeckerKB, ShahS, SofatR, HolmesMV, WhiteJ, MindellJS, KivimakiM, BrunnerEJ, WhittakerJC, CasasJP (2016). Selecting instruments for Mendelian randomization in the wake of genome-wide association studies. International journal of epidemiology, 45(5), 1600–1616.2734222110.1093/ije/dyw088PMC5100611 | — | — | — |
| TaylorM, SimpkinAJ, HaycockPC, DudbridgeF, ZuccoloL (2016). Exploration of a polygenic risk score for alcohol consumption: a longitudinal analysis from the ALSPAC cohort. PloS One, 11(11), e0167360.2790275110.1371/journal.pone.0167360PMC5130278 | — | — | — |
| TherneauTM, GrambschPM (2013). Modeling survival data: extending the Cox model Springer Science & Business Media. | — | — | — |
| TherneauTM, LumleyT (2015). Package ‘survival.’ R Top Doc, 128. | — | — | — |
| TrimRS, SchuckitMA, SmithTL (2013). Predictors of Initial and Sustained Remission from Alcohol Use Disorders: Findings from the 30‐Year Follow‐Up of the San Diego Prospective Study. Alcoholism: Clinical and Experimental Research, 37(8), 1424–1431.10.1111/acer.12107PMC367518823458300 | — | — | — |
| VerhulstB, NealeMC, KendlerKS (2015). The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychological Medicine, 45(5), 1061–1072.2517159610.1017/S0033291714002165PMC4345133 | — | — | — |
| WaltersRK, PolimantiR, JohnsonEC, McClintickJN, AdamsMJ, AdkinsAE, AlievF, BacanuS-A, BatzlerA, BertelsenS, BiernackaJM, BigdeliTB, ChenL-S, ClarkeT-K, ChouY-L, DegenhardtF, DochertyAR, EdwardsAC, FontanillasP, FooJC, FoxL, FrankJ, GieglingI, GordonS, HackLM, HartmannAM, HartzSM, Heilmann-HeimbachS, HermsS, HodgkinsonC, HoffmannP, Jan HottengaJ, KennedyMA, Alanne-KinnunenM, KonteB, LahtiJ, Lahti-PulkkinenM, LaiD, LigthartL, LoukolaA, MaherBS, MbarekH, McIntoshAM, McQueenMB, MeyersJL, MilaneschiY, PalviainenT, PearsonJF, PetersonRE, RipattiS, RyuE, SacconeNL, SalvatoreJE, Sanchez-RoigeS, SchwandtM, ShervaR, StreitF, StrohmaierJ, ThomasN, WangJ-C, WebbBT, WedowR, WetherillL, WillsAG, AgeeM, AlipanahiB, AutonA, BellRK, BrycK, ElsonSL, FontanillasP, FurlotteNA, HindsDA, HuberKE, KleinmanA, LittermanNK, McCreightJC, McIntyreMH, MountainJL, NoblinES, NorthoverCAM, PittsSJ, SathirapongsasutiJF, SazonovaOV, SheltonJF, ShringarpureS, TianC, TungJY, VacicV, WilsonCH, BoardmanJD, ChenD, ChoiD-S, CopelandWE, CulverhouseRC, DahmenN, DegenhardtL, DomingueBW, ElsonSL, FryeMA, GäbelW, HaywardC, IsingM, KeyesM, KieferF, KramerJ, KupermanS, LucaeS, LynskeyMT, MaierW, MannK, MännistöS, Müller-MyhsokB, MurrayAD, NurnbergerJI, PalotieA, PreussU, RäikkönenK, ReynoldsMD, RidingerM, ScherbaumN, SchuckitMA, SoykaM, TreutleinJ, WittS, WodarzN, ZillP, AdkinsDE, BodenJM, BoomsmaDI, BierutLJ, BrownSA, BucholzKK, CichonS, CostelloEJ, de WitH, DiazgranadosN, DickDM, ErikssonJG, FarrerLA, ForoudTM, GillespieNA, GoateAM, GoldmanD, GruczaRA, HancockDB, HarrisKM, HeathAC, HesselbrockV, HewittJK, HopferCJ, HorwoodJ, IaconoW, JohnsonEO, KaprioJA, KarpyakVM, KendlerKS, KranzlerHR, KrauterK, LichtensteinP, LindPA, McGueM, MacKillopJ, MaddenPAF, MaesHH, MagnussonP, MartinNG, MedlandSE, MontgomeryGW, NelsonEC, NöthenMM, PalmerAA, PedersenNL, PenninxBWJH, PorjeszB, RiceJP, RietschelM, RileyBP, RoseR, RujescuD, ShenP-H, SilbergJ, StallingsMC, TarterRE, VanyukovMM, VriezeS, WallTL, WhitfieldJB, ZhaoH, NealeBM, GelernterJ, EdenbergHJ, AgrawalA, (2018). Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nature Neuroscience, 21(12), 1656–1669.3048294810.1038/s41593-018-0275-1PMC6430207 | — | — | — |
| WiseRA, KoobGF (2014). The development and maintenance of drug addiction. Neuropsychopharmacology, 39(2), 254.2412118810.1038/npp.2013.261PMC3870778 | — | — | — |
| WoodAM, KaptogeS, ButterworthAS, WilleitP, WarnakulaS, BoltonT, PaigeE, PaulDS, SweetingM, BurgessS, BellS, AstleW, StevensD, KoulmanA, SelmerRM, VerschurenWMM, SatoS, NjølstadI, WoodwardM, SalomaaV, NordestgaardBG, B Yeap B.B., FletcherA, MelanderO, KullerLH, BalkauB, MarmotM, KoenigW, CasigliaE, CooperC, ArndtV, FrancoOH, WennbergP, GallacherJ, de la CámaraAG, VölzkeH, DahmCC, DaleCE, BergmannMM, CrespoCJ, van der SchouwYT, KaaksR, SimonsLA, LagiouP, SchoufourJD, BoerJMA, KeyTJ, RodriguezB, Moreno-IribasC, DavidsonKW, TaylorJO, SacerdoteC, WallaceRB, QuirosJR, TuminoR, BlazerDG, LinnebergA, DaimonM, PanicoS, HowardB, SkeieG, StrandbergT, WeiderpassE, NietertPJ, PsatyBM, KromhoutD, Salamanca-FernandezE, KiechlS, KrumholzHM, GrioniS, PalliD, HuertaJM, PriceJ, SundströmJ, ArriolaL, ArimaH, TravisRC, PanagiotakosDB, KarakatsaniA, TrichopoulouA, KühnT, GrobbeeDE, Barrett-ConnorE, van SchoorN, BoeingH, OvervadK, KauhanenJ, WarehamN, LangenbergC, ForouhiN, WennbergM, DesprésJ-P CushmanM, CooperJA, RodriguezCJ, SakuraiM, ShawJE, KnuimanM, VoortmanT, MeisingerC, TjønnelandA, BrennerH, PalmieriL, DallongevilleJ, BrunnerEJ, AssmannG, TrevisanM, GillumRF, FordI, SattarN, LazoM, ThompsonSG, FerrariP, LeonDA, SmithGD, PetoR, JacksonR, BanksE, Di AngelantonioE, DaneshJ (2018). Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. The Lancet, 391(10129), 1513–1523.10.1016/S0140-6736(18)30134-XPMC589999829676281 | — | — | — |
| World Health Organization. (2014). Global status report on alcohol and health, 2014 World Health Organization. | — | — | — |
| WrayNR, LeeSH, MehtaD, VinkhuyzenAA, DudbridgeF, MiddeldorpCM (2014). Research review: polygenic methods and their application to psychiatric traits. Journal of Child Psychology and Psychiatry, 55(10), 1068–1087.2513241010.1111/jcpp.12295 | — | — | — |
| WrayNR, YangJ, HayesBJ, PriceAL, GoddardME, VisscherPM (2013). Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics, 14, 507.10.1038/nrg3457PMC409680123774735 | — | — | — |
| YoudenWJ (1950). Index for rating diagnostic tests. Cancer, 3(1), 32–35.1540567910.1002/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3 | — | — | — |
No papers in this knowledge base cite this source.
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Parental Remission From Alcohol Use Disorder Shows Limited Protective Effects on Offspring Alcohol Outcomes. | McCutcheon VV et al. | — | 2025 | → |
| Problem Recognition as A Discrete Concept for Change Processes in Problematic Alcohol Use. | Morris J et al. | — | 2025 | → |
| Protocol for a new family history of addiction density score to aid in the treatment of alcohol and substance use disorders. | Bourdon JL et al. | — | 2025 | → |
| Genetic associations between alcohol phenotypes and life satisfaction: a genomic structural equation modelling approach. | Bountress KE et al. | — | 2023 | → |
| Polygenic risk score for problematic alcohol use predicts heavy drinking and alcohol use disorder symptoms in young adulthood after accounting for adolescent alcohol use and parental alcohol use disorder. | Wang FL et al. | — | 2023 | → |
| Alcohol use and alcohol use disorder differ in their genetic relationships with PTSD: A genomic structural equation modelling approach. | Bountress KE et al. | — | 2022 | → |
| Evaluating risk for alcohol use disorder: Polygenic risk scores and family history. | Lai D et al. | — | 2022 | → |
| The "alcoholic other": Harmful drinkers resist problem recognition to manage identity threat. | Morris J et al. | — | 2022 | → |
| Genetics of substance use disorders in the era of big data. | Gelernter J et al. | — | 2021 | → |
| Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples. | Johnson EC et al. | — | 2021 | → |
| Whole Genome Interpretation for a Family of Five. | Corpas M et al. | — | 2021 | → |
| Alcohol Sensitivity as an Endophenotype of Alcohol Use Disorder: Exploring Its Translational Utility between Rodents and Humans. | Parker CC et al. | — | 2020 | → |
| Continuum beliefs are associated with higher problem recognition than binary beliefs among harmful drinkers without addiction experience. | Morris J et al. | — | 2020 | → |
| Genome-wide association studies of the self-rating of effects of ethanol (SRE). | Lai D et al. | — | 2020 | → |
| High-Intensity Drinking in Adult Australian Twins. | Dash GF et al. | — | 2020 | → |