Associations between alcohol use disorder polygenic score and remission in participants from high-risk families and the Indiana Biobank.
- Authors
- Lai, Dongbing; Kuo, Sally I-Chun; Wetherill, Leah; Aliev, Fazil; Zhang, Michael; Marco, Abreu; Schwantes-An, Tae-Hwi; Dick, Danielle; Francis, Meredith W; Johnson, Emma C; Kamarajan, Chella; Kinreich, Sivan; Kuperman, Samuel; Meyers, Jacquelyn; Nurnberger, John I; Liu, Yunlong; Edenberg, Howard J; Porjesz, Bernice; Agrawal, Arpana; Foroud, Tatiana; Schuckit, Marc; Plawecki, Martin H; Bucholz, Kathleen K; McCutcheon, Vivia V
- Year
- 2024
- Journal
- Alcohol, clinical & experimental research
- PMID
- 38054532
- DOI
- 10.1111/acer.15239
- PMCID
- PMC10922306
BACKGROUND: In the United States, ~50% of individuals who meet criteria for alcohol use disorder (AUD) during their lifetimes do not remit. We previously reported that a polygenic score for AUD (PGS ) was positively associated with AUD severity as measured by DSM-5 lifetime criterion count, and AUD severity was negatively associated with remission. Thus, we hypothesized that PGS would be negatively associated with remission. METHODS: Individuals of European (EA) and African ancestry (AA) from the Collaborative Study on the Genetics of Alcoholism (COGA) who met lifetime criteria for AUD, and two EA cohorts ascertained for studies of liver diseases and substance use disorders from the Indiana Biobank were included. In COGA, 12-month remission was defined as any period of ≥12 consecutive months without meeting AUD criteria except craving and was further categorized as abstinent and non-abstinent. In the Indiana Biobank, remission was defined based on ICD codes and could not be further distinguished as abstinent or non-abstinent. Sex and age were included as covariates. COGA analyses included additional adjustment for AUD severity, family history of remission, and AUD treatment history. RESULTS: In COGA EA, PGS was negatively associated with 12-month and non-abstinent remission (p ≤ 0.013, βs between -0.15 and -0.10) after adjusting for all covariates. In contrast to the COGA findings, PGS was positively associated with remission (p = 0.004, β = 0.28) in the Indiana Biobank liver diseases cohort but not in the Indiana Biobank substance use disorder cohort (p = 0.17, β = 0.15). CONCLUSIONS: PGS was negatively associated with 12-month and non-abstinent remission in COGA EA, independent of behavioral measures of AUD severity and family history of remission. The discrepant results in COGA and the Indiana Biobank could reflect different ascertainment strategies: the Indiana Biobank participants were older and had higher rates of liver disease, suggesting that these individuals remitted due to alcohol-related health conditions that manifested in later life.
No figures extracted from this document.
No entities extracted from this document yet.
No uploaded files.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| AMERICAN PSYCHIATRIC ASSOCIATION 2022. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR™). | — | — | — |
| BARRPB, KSINANA, SUJ, JOHNSONEC, MEYERSJL, WETHERILLL, LATVALAA, ALIEVF, CHANG, KUPERMANS, NURNBERGERJ, KAMARAJANC, ANOKHINA, AGRAWALA, ROSERJ, EDENBERGHJ, SCHUCKITM, KAPRIOJ & DICKDM 2020. Using polygenic scores for identifying individuals at increased risk of substance use disorders in clinical and population samples. Translational Psychiatry, 10, 196.32555147 10.1038/s41398-020-00865-8PMC7303212 | — | — | — |
| BOTTLENDERM & SOYKAM 2005. Outpatient alcoholism treatment: predictors of outcome after 3 years. Drug Alcohol Depend, 80, 83–9.15878808 10.1016/j.drugalcdep.2005.03.011 | — | — | — |
| BRITTONA, BEN-SHLOMOY, BENZEVALM, KUHD & BELLS 2015. Life course trajectories of alcohol consumption in the United Kingdom using longitudinal data from nine cohort studies. BMC Med, 13, 47.25858476 10.1186/s12916-015-0273-zPMC4351673 | — | — | — |
| 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. J Stud Alcohol, 55, 149–58.8189735 10.15288/jsa.1994.55.149 | — | — | — |
| CHANGCC, CHOWCC, TELLIERLC, VATTIKUTIS, PURCELLSM & LEEJJ 2015. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience, 4, 7.25722852 10.1186/s13742-015-0047-8PMC4342193 | — | — | — |
| DASS, FORERL, SCHONHERRS, SIDOREC, LOCKEAE, KWONGA, VRIEZESI, CHEWEY, LEVYS, MCGUEM, SCHLESSINGERD, STAMBOLIAND, LOHPR, IACONOWG, SWAROOPA, SCOTTLJ, CUCCAF, KRONENBERGF, BOEHNKEM, ABECASISGR & FUCHSBERGERC 2016. Next-generation genotype imputation service and methods. Nat Genet, 48, 1284–1287.27571263 10.1038/ng.3656PMC5157836 | — | — | — |
| DAWSONDA 1996. Correlates of past-year status among treated and untreated persons with former alcohol dependence: United States, 1992. Alcohol Clin Exp Res, 20, 771–9.8800398 10.1111/j.1530-0277.1996.tb01685.x | — | — | — |
| DAWSONDA, GOLDSTEINRB & GRANTBF 2007. Rates and correlates of relapse among individuals in remission from DSM-IV alcohol dependence: a 3-year follow-up. Alcohol Clin Exp Res, 31, 2036–45.18034696 10.1111/j.1530-0277.2007.00536.x | — | — | — |
| DAWSONDA, GOLDSTEINRB, RUANWJ & GRANTBF 2012. Correlates of Recovery from Alcohol Dependence: A Prospective Study Over a 3-Year Follow-Up Interval. Alcohol: Clinical and Experimental Research, 36, 1268–1277.10.1111/j.1530-0277.2011.01729.xPMC334982022309217 | — | — | — |
| DAWSONDA, GRANTBF, STINSONFS & CHOUPS 2006. Estimating the effect of help-seeking on achieving recovery from alcohol dependence. Addiction, 101, 824–34.16696626 10.1111/j.1360-0443.2006.01433.x | — | — | — |
| DAWSONDA, GRANTBF, STINSONFS, CHOUPS, HUANGB & RUANWJ 2005. Recovery from DSM-IV alcohol dependence: United States, 2001–2002. Addiction, 100, 281–92.15733237 10.1111/j.1360-0443.2004.00964.x | — | — | — |
| DAWSONDA, HARFORDTC & GRANTBF 1992. Family history as a predictor of alcohol dependence. Alcohol Clin Exp Res, 16, 572–5.1626658 10.1111/j.1530-0277.1992.tb01419.x | — | — | — |
| DE HEMPTINNEMC & POSTHUMAD 2023. Addressing the ethical and societal challenges posed by genome-wide association studies of behavioral and brain-related traits. Nature Neuroscience, 26, 932–941.37217727 10.1038/s41593-023-01333-4 | — | — | — |
| DELANEAUO, ZAGURYJF & MARCHINIJ 2013. Improved whole-chromosome phasing for disease and population genetic studies. Nat Methods, 10, 5–6.23269371 10.1038/nmeth.2307 | — | — | — |
| DICKDM, BALCKEE, MCCUTCHEONV, FRANCISM, KUOS, SALVATOREJ, MEYERSJ, BIERUTLJ, SCHUCKITM, HESSELBROCKV, EDENBERGHJ, PORJESZB, KUPERMANS, KRAMERJ & BUCHOLZK 2023. The collaborative study on the genetics of alcoholism: Sample and clinical data. Genes Brain Behav, 22, e12860.37581339 10.1111/gbb.12860PMC10550787 | — | — | — |
| FANAZ, CHOUSP, ZHANGH, JUNGJ & GRANTBF 2019a. Prevalence and Correlates of Past-Year Recovery From DSM-5 Alcohol Use Disorder: Results From National Epidemiologic Survey on Alcohol and Related Conditions-III. Alcohol Clin Exp Res, 43, 2406–2420.31580502 10.1111/acer.14192 | — | — | — |
| FANAZ, CHOUSP, ZHANGH, JUNGJ & GRANTBF 2019b. Prevalence and Correlates of Past-Year Recovery From DSM-5 Alcohol Use Disorder: Results From National Epidemiologic Survey on Alcohol and Related Conditions-III. Alcohol Clin Exp Res.10.1111/acer.1419231580502 | — | — | — |
| FEING & LANDMANB 2005. Treated and treatment-naive alcoholics come from different populations. Alcohol, 36, 19–26.PMC186868916440475 | — | — | — |
| FLEURYMJ, DJOUINIA, HUỲNHC, TREMBLAYJ, FERLANDF, MÉNARDJM & BELLEVILLEG 2016. Remission from substance use disorders: A systematic review and meta-analysis. Drug and Alcohol Dependence, 168, 293–306.27614380 10.1016/j.drugalcdep.2016.08.625 | — | — | — |
| GET, CHENCY, NIY, FENGYA & SMOLLERJW 2019. Polygenic prediction via Bayesian regression and continuous shrinkage priors. Nat Commun, 10, 1776.30992449 10.1038/s41467-019-09718-5PMC6467998 | — | — | — |
| GILDERDA, LAUP, COREYL & EHLERSCL 2008. Factors associated with remission from alcohol dependence in an American Indian community group. Am J Psychiatry, 165, 1172–8.18519526 10.1176/appi.ajp.2008.07081308PMC2835695 | — | — | — |
| GRANTBF, GOLDSTEINRB, SAHATD, CHOUSP, JUNGJ, ZHANGH, PICKERINGRP, RUANWJ, SMITHSM, HUANGB & HASINDS 2015. Epidemiology of DSM-5 Alcohol Use Disorder: Results From the National Epidemiologic Survey on Alcohol and Related Conditions III. JAMA Psychiatry, 72, 757–66.26039070 10.1001/jamapsychiatry.2015.0584PMC5240584 | — | — | — |
| GREENFIELDTK, KARRIKER-JAFFEKJ, KAPLANLM, KERRWC & WILSNACKSC 2015. Trends in Alcohol’s Harms to Others (AHTO) and Co-occurrence of Family-Related AHTO: The Four US National Alcohol Surveys, 2000–2015. Subst Abuse, 9, 23–31.26549971 10.4137/SART.S23505PMC4624092 | — | — | — |
| HEATHAC, BUCHOLZKK, MADDENPA, DINWIDDIESH, SLUTSKEWS, BIERUTLJ, STATHAMDJ, DUNNEMP, WHITFIELDJB & MARTINNG 1997. Genetic and environmental contributions to alcohol dependence risk in a national twin sample: consistency of findings in women and men. Psychol Med, 27, 1381–96.9403910 10.1017/s0033291797005643 | — | — | — |
| HESSELBROCKM, EASTONC, BUCHOLZKK, SCHUCKITM & HESSELBROCKV 1999. A validity study of the SSAGA--a comparison with the SCAN. Addiction, 94, 1361–70.10615721 10.1046/j.1360-0443.1999.94913618.x | — | — | — |
| JOHNSONEC, SALVATOREJE, LAID, MERIKANGASAK, NURNBERGERJI, TISCHFIELDJA, XUEIX, KAMARAJANC, WETHERILLL, COLLABORATORSC, RICEJP, KRAMERJR, KUPERMANS, FOROUDT, SLESINGERPA, GOATEAM, PORJESZB, DICKDM, EDENBERGHJ & AGRAWALA 2023. The collaborative study on the genetics of alcoholism: Genetics. Genes, Brain and Behavior, n/a, e12856.10.1111/gbb.12856PMC1055078837387240 | — | — | — |
| KARRIKER-JAFFEKJ, CHARTIERKG, BARESCB, KENDLERKS & GREENFIELDTK 2021. Intersection of familial risk and environmental social control on high-risk drinking and alcohol dependence in a US national sample of adults. Addict Behav, 113, 106668.33045642 10.1016/j.addbeh.2020.106668PMC7524522 | — | — | — |
| KARRIKER-JAFFEKJ, LIL & GREENFIELDTK 2018. Estimating mental health impacts of alcohol’s harms from other drinkers: using propensity scoring methods with national cross-sectional data from the United States. Addiction, 113, 1826–1839.29893009 10.1111/add.14283PMC6158083 | — | — | — |
| KERRWC & YEY 2010. Relationship of Life-Course Drinking Patterns to Diabetes, Heart Problems, and Hypertension Among Those 40 and Older in the 2005 US National Alcohol Survey. Journal of Studies on Alcohol and Drugs, 71, 515–525.20553659 10.15288/jsad.2010.71.515PMC2887921 | — | — | — |
| KHERAAV, CHAFFINM, ARAGAMKG, HAASME, ROSELLIC, CHOISH, NATARAJANP, LANDERES, LUBITZSA, ELLINORPT & KATHIRESANS 2018. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet, 50, 1219–1224.30104762 10.1038/s41588-018-0183-zPMC6128408 | — | — | — |
| KINREICHS, MCCUTCHEONVV, ALIEVF, MEYERSJL, KAMARAJANC, PANDEYAK, CHORLIANDB, ZHANGJ, KUANGW, PANDEYG, VITERISS-SD, FRANCISMW, CHANG, BOURDONJL, DICKDM, ANOKHINAP, BAUERL, HESSELBROCKV, SCHUCKITMA, NURNBERGERJI, FOROUDTM, SALVATOREJE, BUCHOLZKK & PORJESZB 2021. Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach. Translational Psychiatry, 11, 166.33723218 10.1038/s41398-021-01281-2PMC7960734 | — | — | — |
| KNOPJ, PENICKEC, NICKELEJ, MEDNICKSA, JENSENP, MANZARDOAM & GABRIELLIWF 2007. Paternal alcoholism predicts the occurrence but not the remission of alcoholic drinking: a 40-year follow-up. Acta Psychiatr Scand, 116, 386–93.17919158 10.1111/j.1600-0447.2007.01015.x | — | — | — |
| KNOTTCS, BELLS & BRITTONA 2018. The stability of baseline-defined categories of alcohol consumption during the adult life-course: a 28-year prospective cohort study. Addiction, 113, 34–43.28734088 10.1111/add.13949PMC5725237 | — | — | — |
| KRANZLERHR, ZHOUH, KEMBERRL, VICKERS SMITHR, JUSTICEAC, DAMRAUERS, TSAOPS, KLARIND, BARASA, REIDJ, OVERTONJ, RADERDJ, CHENGZ, TATEJP, BECKERWC, CONCATOJ, XUK, POLIMANTIR, ZHAOH & GELERNTERJ 2019. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications, 10, 1499.10.1038/s41467-019-09480-8PMC644507230940813 | — | — | — |
| LAID, JOHNSONEC, COLBERTS, PANDEYG, CHANG, BAUERL, FRANCISMW, HESSELBROCKV, KAMARAJANC, KRAMERJ, KUANGW, KUOS, KUPERMANS, LIUY, MCCUTCHEONV, PANGZ, PLAWECKIMH, SCHUCKITM, TISCHFIELDJ, WETHERILLL, ZANGY, EDENBERGHJ, PORJESZB, AGRAWALA & FOROUDT 2022a. Evaluating risk for alcohol use disorder: Polygenic risk scores and family history. Alcohol Clin Exp Res, 46, 374–383.35267208 10.1111/acer.14772PMC8928056 | — | — | — |
| LAID, SCHWANTES-ANTH, ABREUM, CHANG, HESSELBROCKV, KAMARAJANC, LIUY, MEYERSJL, NURNBERGERJIJR., PLAWECKIMH, WETHERILLL, SCHUCKITM, ZHANGP, EDENBERGHJ, PORJESZB, AGRAWALA & FOROUDT 2022b. Gene-based polygenic risk scores analysis of alcohol use disorder in African Americans. Transl Psychiatry, 12, 266.35790736 10.1038/s41398-022-02029-2PMC9256707 | — | — | — |
| LAID, WETHERILLL, BERTELSENS, CAREYCE, KAMARAJANC, KAPOORM, MEYERSJL, ANOKHINAP, BENNETTDA, BUCHOLZKK, CHANGKK, DE JAGERPL, DICKDM, HESSELBROCKV, KRAMERJ, KUPERMANS, NURNBERGERJIJR., RAJT, SCHUCKITM, SCOTTDM, TAYLORRE, TISCHFIELDJ, HARIRIAR, EDENBERGHJ, AGRAWALA, BOGDANR, PORJESZB, GOATEAM & FOROUDT 2019a. Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria. Genes Brain Behav, 18, e12579.31090166 10.1111/gbb.12579PMC6612573 | — | — | — |
| LAID, WETHERILLL, KAPOORM, JOHNSONEC, SCHWANDTM, RAMCHANDANIVA, GOLDMAND, JOSLYNG, RAOX, LIUY, FARRISS, MAYFIELDRD, DICKD, HESSELBROCKV, KRAMERJ, MCCUTCHEONVV, NURNBERGERJ, TISCHFIELDJ, GOATEA, EDENBERGHJ, PORJESZB, AGRAWALA, FOROUDT & SCHUCKITM 2019b. Genome-wide association studies of the self-rating of effects of ethanol (SRE). Addict Biol, e12800.31270906 10.1111/adb.12800PMC6940552 | — | — | — |
| LEEMR, BONESSCL, MCDOWELLYE, VERGÉSA, STEINLEYDL & SHERKJ 2018. Desistance and Severity of Alcohol Use Disorder: A Lifespan-Developmental Investigation. Clin Psychol Sci, 6, 90–105.29335673 10.1177/2167702617736852PMC5766269 | — | — | — |
| LEGGATG, LIVINGSTONM, KUNTSCHES & CALLINANS 2022. Alcohol consumption trajectories over the Australian life course. Addiction, 117, 1931–1939.35188297 10.1111/add.15849PMC9311147 | — | — | — |
| 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, 657–69.21077975 10.1111/j.1360-0443.2010.03194.xPMC3227547 | — | — | — |
| MCCUTCHEONVV, GRANTJD, HEATHAC, BUCHOLZKK, SARTORCE, NELSONEC, MADDENPA & MARTINNG 2012. Environmental influences predominate in remission from alcohol use disorder in young adult twins. Psychol Med, 42, 2421–31.22423619 10.1017/S003329171200044XPMC3752317 | — | — | — |
| 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, 1909–1917.28556494 10.1111/add.13890PMC5633502 | — | — | — |
| MILLERAP, KUOSI-C, JOHNSONEC, TILLMANR, BRISLINSJ, DICKDM, KAMARAJANC, KINREICHS, KRAMERJ, MCCUTCHEONVV, PLAWECKIMH, PORJESZB, SCHUCKITMA, SALVATOREJE, EDENBERGHJ, BUCHOLZKK, MEYERSJL & AGRAWALA 2023. Specific diagnostic criteria identify those at high risk for progression from ‘preaddiction’ to severe alcohol use disorder. medRxiv, 2023.06.12.23291164. | — | — | — |
| MOLANDERRC, YONKERJA & KRAHNDD 2010. Age-related changes in drinking patterns from mid- to older age: results from the Wisconsin longitudinal study. Alcohol Clin Exp Res, 34, 1182–92.20477774 10.1111/j.1530-0277.2010.01195.xPMC6330701 | — | — | — |
| NAVARROHJ, DORANCM & SHAKESHAFTAP 2011. Measuring costs of alcohol harm to others: a review of the literature. Drug Alcohol Depend, 114, 87–99.21193271 10.1016/j.drugalcdep.2010.11.009 | — | — | — |
| NAYAKMB, PATTERSOND, WILSNACKSC, KARRIKER-JAFFEKJ & GREENFIELDTK 2019. Alcohol’s Secondhand Harms in the United States: New Data on Prevalence and Risk Factors. J Stud Alcohol Drugs, 80, 273–281.31250790 10.15288/jsad.2019.80.273PMC6614929 | — | — | — |
| NURNBERGERJIJR., WANGY, ZANGY, LAID, WETHERILLL, EDENBERGHJ, ALIEVF, PLAWECKIMH, CHORLIAND, CHANG, BUCHOLZK, BAUERL, KAMARAJANC, SALVATOREJE, KAPOORM, HESSELBROCKV, DICKD, BIERUTL, MCCUTCHEONV, MEYERSJL, PORJESZB, KRAMERJ, KUPERMANS, KINREICHS, ANOKHINAP & COLLABORATIVE STUDY ON THE GENETICS OF, A. 2022. High Polygenic Risk Scores Are Associated With Early Age of Onset of Alcohol Use Disorder in Adolescents and Young Adults at Risk. Biol Psychiatry Glob Open Sci, 2, 379–388.36324664 10.1016/j.bpsgos.2021.10.007PMC9616304 | — | — | — |
| NURNBERGERJIJR., WIEGANDR, BUCHOLZK, O’CONNORS, MEYERET, REICHT, RICEJ, SCHUCKITM, KINGL, PETTIT, BIERUTL, HINRICHSAL, KUPERMANS, HESSELBROCKV & PORJESZB 2004. A family study of alcohol dependence: coaggregation of multiple disorders in relatives of alcohol-dependent probands. Arch Gen Psychiatry, 61, 1246–56.15583116 10.1001/archpsyc.61.12.1246 | — | — | — |
| PENICKEC, KNOPJ, NICKELEJ, JENSENP, MANZARDOAM, LYKKE-MORTENSENE & GABRIELLIWF 2010. Do premorbid predictors of alcohol dependence also predict the failure to recover from alcoholism? J Stud Alcohol Drugs, 71, 685–94.20731973 10.15288/jsad.2010.71.685PMC2930498 | — | — | — |
| PINEDOM & VILLATOROAP 2020. The role of perceived treatment need in explaining racial/ethnic disparities in the use of substance abuse treatment services. Journal of Substance Abuse Treatment, 118.10.1016/j.jsat.2020.108105PMC752999732839050 | — | — | — |
| PRESCOTTCA & KENDLERKS 1999. Genetic and environmental contributions to alcohol abuse and dependence in a population-based sample of male twins. Am J Psychiatry, 156, 34–40.9892295 10.1176/ajp.156.1.34 | — | — | — |
| PRICEAL, PATTERSONNJ, PLENGERM, WEINBLATTME, SHADICKNA & REICHD 2006. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet, 38, 904–9.16862161 10.1038/ng1847 | — | — | — |
| PURCELLS, NEALEB, TODD-BROWNK, THOMASL, FERREIRAMA, BENDERD, MALLERJ, SKLARP, DE BAKKERPI, DALYMJ & SHAMPC 2007. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet, 81, 559–75.17701901 10.1086/519795PMC1950838 | — | — | — |
| RUANY, LINY-F, FENGY-CA, CHENC-Y, LAMM, GUOZ, AHNYM, AKIYAMAK, ARAIM, BAEKJH, CHENWJ, CHUNGY-C, FENGG, FUJIIK, GLATTSJ, HAK, HATTORIK, HIGUCHIT, HISHIMOTOA, HONGKS, HORIUCHIY, HWUH-G, IKEDAM, ISHIWATAS, ITOKAWAM, IWATAN, JOOE-J, KAHNRS, KIMS-W, KIMSJ, KIMSH, KINOSHITAM, KUNUGIH, KUSUMAWARDHANIA, LEEJ, LEEBD, LEEH-J, LIUJ, LIUR, MAX, MYUNGW, NUMATAS, OHMORIT, OTSUKAI, OZEKIY, SCHWABSG, SHIW, SHIMODAK, SIMK, SORAI, TANGJ, TOYOTAT, TSUANGM, WILDENAUERDB, WONH-H, YOSHIKAWAT, ZHENGA, ZHUF, HEL, SAWAA, MARTINAR, QINS, HUANGH, GET & STANLEY GLOBAL ASIAI 2022. Improving polygenic prediction in ancestrally diverse populations. Nature Genetics, 54, 573–580.35513724 10.1038/s41588-022-01054-7PMC9117455 | — | — | — |
| SACKSJJ, GONZALESKR, BOUCHERYEE, TOMEDILE & BREWERRD 2015. 2010 National and State Costs of Excessive Alcohol Consumption. Am J Prev Med, 49, e73–e79.26477807 10.1016/j.amepre.2015.05.031 | — | — | — |
| SANCHEZ-ROIGES, PALMERAA, FONTANILLASP, ELSONSL, ADAMSMJ, HOWARDDM, EDENBERGHJ, DAVIESG, CRISTRC, DEARYIJ, MCINTOSHAM, CLARKETK, AGEEM, ALIPANAHIB, AUTONA, BELLRK, BRYCK, FURLOTTENA, HINDSDA, HUBERKE, KLEINMANA, LITTERMANNK, MCCREIGHTJC, MCINTYREMH, MOUNTAINJL, NOBLINES, NORTHOVERCAM, PITTSSJ, SATHIRAPONGSASUTIJF, SAZONOVAOV, SHELTONJF, SHRINGARPURES, TIANC, TUNGJY, VACICV, WILSONCH & TEAMAR 2019. Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts. American Journal of Psychiatry, 176, 107–118.30336701 10.1176/appi.ajp.2018.18040369PMC6365681 | — | — | — |
| SCHUCKITMA, CLARKEDF, SMITHTL & MENDOZALA 2020. Characteristics associated with denial of problem drinking among two generations of individuals with alcohol use disorders. Drug and Alcohol Dependence, 217, 108274.32956977 10.1016/j.drugalcdep.2020.108274PMC7736262 | — | — | — |
| VENEGASA, DONATOS, MEREDITHLR & RAYLA 2021. Understanding low treatment seeking rates for alcohol use disorder: A narrative review of the literature and opportunities for improvement. The American Journal of Drug and Alcohol Abuse, 47, 664–679.34464542 10.1080/00952990.2021.1969658PMC9059657 | — | — | — |
| VERHULSTB, NEALEMC & KENDLERKS 2015. The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychological Medicine, 45, 1061–1072.25171596 10.1017/S0033291714002165PMC4345133 | — | — | — |
| ZHOUH, SEALOCKJM, SANCHEZ-ROIGES, CLARKET-K, LEVEYDF, CHENGZ, LIB, POLIMANTIR, KEMBERRL, SMITHRV, THYGESENJH, MORGANMY, ATKINSONSR, THURSZMR, NYEGAARDM, MATTHEISENM, BØRGLUMAD, JOHNSONEC, JUSTICEAC, PALMERAA, MCQUILLINA, DAVISLK, EDENBERGHJ, AGRAWALA, KRANZLERHR & GELERNTERJ 2020. Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits. Nature Neuroscience.10.1038/s41593-020-0643-5PMC748555632451486 | — | — | — |
No papers in this knowledge base cite this source.
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Genome-wide meta-analyses of cross substance use disorders in diverse populations. | Lai D et al. | — | 2026 | → |
| Parental Remission From Alcohol Use Disorder Shows Limited Protective Effects on Offspring Alcohol Outcomes. | McCutcheon VV et al. | — | 2025 | → |
| The Psychiatric Genomics Consortium: discoveries and directions. | Agrawal A et al. | — | 2025 | → |
| Alcohol Use Disorder Polygenic Score Compared With Family History and ADH1B. | Lai D et al. | — | 2024 | → |