Evaluating risk for alcohol use disorder: Polygenic risk scores and family history.
paper
Primary
Public
- Authors
- Lai, Dongbing; Johnson, Emma C; Colbert, Sarah; Pandey, Gayathri; Chan, Grace; Bauer, Lance; Francis, Meredith W; Hesselbrock, Victor; Kamarajan, Chella; Kramer, John; Kuang, Weipeng; Kuo, Sally; Kuperman, Samuel; Liu, Yunlong; McCutcheon, Vivia; Pang, Zhiping; Plawecki, Martin H; Schuckit, Marc; Tischfield, Jay; Wetherill, Leah; Zang, Yong; Edenberg, Howard J; Porjesz, Bernice; Agrawal, Arpana; Foroud, Tatiana
- Year
- 2022
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 35267208
- DOI
- 10.1111/acer.14772
- PMCID
- PMC8928056
BACKGROUND: Early identification of individuals at high risk for alcohol use disorder (AUD) coupled with prompt interventions could reduce the incidence of AUD. In this study, we investigated whether Polygenic Risk Scores (PRS) can be used to evaluate the risk for AUD and AUD severity (as measured by the number of DSM-5 AUD diagnostic criteria met) and compared their performance with a measure of family history of AUD. METHODS: We studied individuals of European ancestry from the Collaborative Study on the Genetics of Alcoholism (COGA). DSM-5 diagnostic criteria were available for 7203 individuals, of whom 3451 met criteria for DSM-IV alcohol dependence or DSM-5 AUD and 1616 were alcohol-exposed controls aged ≥21 years with no history of AUD or drug dependence. Further, 4842 individuals had a positive first-degree family history of AUD (FH+), 2722 had an unknown family history (FH?), and 336 had a negative family history (FH-). PRS were derived from a meta-analysis of a genome-wide association study of AUD from the Million Veteran Program and scores from the problem subscale of the Alcohol Use Disorders Identification Test in the UK Biobank. We used mixed models to test the association between PRS and risk for AUD and AUD severity. RESULTS: AUD cases had higher PRS than controls with PRS increasing as the number of DSM-5 diagnostic criteria increased (p-values ≤ 1.85E ) in the full COGA sample, the FH+ subsample, and the FH? subsample. Individuals in the top decile of PRS had odds ratios (OR) for developing AUD of 1.96 (95% CI: 1.54 to 2.51, p-value = 7.57E ) and 1.86 (95% CI: 1.35 to 2.56, p-value = 1.32E ) in the full sample and the FH+ subsample, respectively. These values are comparable to previously reported ORs for a first-degree family history (1.91 to 2.38) estimated from national surveys. PRS were also significantly associated with the DSM-5 AUD diagnostic criterion count in the full sample, the FH+ subsample, and the FH? subsample (p-values ≤6.7E ). PRS remained significantly associated with AUD and AUD severity after accounting for a family history of AUD (p-values ≤6.8E ). CONCLUSIONS: Both PRS and family history were associated with AUD and AUD severity, indicating that these risk measures assess distinct aspects of liability to AUD traits.
No figures extracted from this document.
1–20 of 30
Next →
No entities extracted from this document yet.
No uploaded files.
Not in any collection.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| ABRAHAMG, MALIKR, YONOVA-DOINGE, SALIMA, WANGT, DANESHJ, BUTTERWORTHAS, HOWSONJMM, INOUYEM & DICHGANSM 2019. Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. Nat Commun, 10, 5819.3186289310.1038/s41467-019-13848-1PMC6925280 | — | — | — |
| ABUL-HUSNNS & KENNYEE 2019. Personalized Medicine and the Power of Electronic Health Records. Cell, 177, 58–69.3090154910.1016/j.cell.2019.02.039PMC6921466 | — | — | — |
| BASELMANSBML, YENGOL, VAN RHEENENW & WRAYNR 2021. Risk in Relatives, Heritability, SNP-Based Heritability, and Genetic Correlations in Psychiatric Disorders: A Review. Biol Psychiatry, 89, 11–19.3273679310.1016/j.biopsych.2020.05.034 | — | — | — |
| BERSAMINM, PASCHALLMJ, FEARNOW-KENNEYM & WYRICKD 2007. Effectiveness of a Web-based alcohol-misuse and harm-prevention course among high- and low-risk students. J Am Coll Health, 55, 247–54.1731933110.3200/JACH.55.4.247-254 | — | — | — |
| 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, 149–58.818973510.15288/jsa.1994.55.149 | — | — | — |
| BUCHOLZKK, MCCUTCHEONVV, AGRAWALA, DICKDM, HESSELBROCKVM, KRAMERJR, KUPERMANS, NURNBERGERJI, 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, 359–368.10.1111/acer.13293PMC527277628073157 | — | — | — |
| CHANGCC, CHOWCC, TELLIERLC, VATTIKUTIS, PURCELLSM & LEEJJ 2015. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience, 4, 7.2572285210.1186/s13742-015-0047-8PMC4342193 | — | — | — |
| CHATTERJEEN, SHIJ & GARCÍA-CLOSASM 2016. Developing and evaluating polygenic risk prediction models for stratified disease prevention. Nature Reviews Genetics, 17, 392–406.10.1038/nrg.2016.27PMC602112927140283 | — | — | — |
| CRAIGJE, HANX, QASSIMA, HASSALLM, COOKE BAILEYJN, KINZYTG, KHAWAJAAP, ANJ, MARSHALLH, GHARAHKHANIP, IGORPJR., GRAHAMSL, HEALEYPR, ONGJS, ZHOUT, SIGGSO, LAWMH, SOUZEAUE, RIDGEB, HYSIPG, BURDONKP, MILLSRA, LANDERSJ, RUDDLEJB, AGARA, GALANOPOULOSA, WHITEAJR, WILLOUGHBYCE, ANDREWNH, BESTS, VINCENTAL, GOLDBERGI, RADFORD-SMITHG, MARTINNG, MONTGOMERYGW, VITARTV, HOEHNR, WOJCIECHOWSKIR, JONASJB, AUNGT, PASQUALELR, CREEAJ, SIVAPRASADS, VALLABHNA, CONSORTIUM, N., EYEUKB, VISIONC, VISWANATHANAC, PASUTTOF, HAINESJL, KLAVERCCW, VAN DUIJNCM, CASSONRJ, FOSTERPJ, KHAWPT, HAMMONDCJ, MACKEYDA, MITCHELLP, LOTERYAJ, WIGGSJL, HEWITTAW & MACGREGORS 2020. Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression. Nat Genet, 52, 160–166.3195999310.1038/s41588-019-0556-yPMC8056672 | — | — | — |
| CRONCEJM & LARIMERME 2011. Individual-focused approaches to the prevention of college student drinking. Alcohol Res Health, 34, 210–21.22330220PMC3342066 | — | — | — |
| 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, 1284–1287.2757126310.1038/ng.3656PMC5157836 | — | — | — |
| DAWSONDA & GRANTBF 1998. Family history of alcoholism and gender: their combined effects on DSM-IV alcohol dependence and major depression. J Stud Alcohol, 59, 97–106.949832110.15288/jsa.1998.59.97 | — | — | — |
| DAWSONDA 2000. The link between family history and early onset alcoholism: earlier initiation of drinking or more rapid development of dependence? J Stud Alcohol, 61, 637–46.1102280010.15288/jsa.2000.61.637 | — | — | — |
| DAWSONDA, HARFORDTC & GRANTBF 1992. Family history as a predictor of alcohol dependence. Alcohol Clin Exp Res, 16, 572–5.162665810.1111/j.1530-0277.1992.tb01419.x | — | — | — |
| DELANEAUO, ZAGURYJF & MARCHINIJ 2013. Improved whole-chromosome phasing for disease and population genetic studies. Nat Methods, 10, 5–6.2326937110.1038/nmeth.2307 | — | — | — |
| FINUCANEHK, BULIK-SULLIVANB, GUSEVA, TRYNKAG, RESHEFY, LOHPR, ANTTILAV, XUH, ZANGCZ, FARHK, RIPKES, DAYFR, PURCELLS, STAHLE, LINDSTROMS, PERRYJRB, OKADAY, RAYCHAUDHURIS, DALYMJ, PATTERSONN, NEALEBM, PRICEAL, CONSORTIUM, R., CONSORTIUM, P. G. & CONSORTIUM, R. 2015. Partitioning heritability by functional annotation using genome-wide association summary statistics. Nature Genetics, 47, 1228–+.2641467810.1038/ng.3404PMC4626285 | — | — | — |
| GET, CHENCY, NIY, FENGYA & SMOLLERJW 2019. Polygenic prediction via Bayesian regression and continuous shrinkage priors. Nat Commun, 10, 1776.3099244910.1038/s41467-019-09718-5PMC6467998 | — | — | — |
| Global status report on alcohol and health 2018: executive summary [Online]. Geneva: World Health Organization. Available: https://apps.who.int/iris/handle/10665/312318 [Accessed]. | — | — | — |
| GRANTBF 1998. The impact of a family history of alcoholism on the relationship between age at onset of alcohol use and DSM-IV alcohol dependence: results from the National Longitudinal Alcohol Epidemiologic Survey. Alcohol Health Res World, 22, 144–7.15706789PMC6761809 | — | — | — |
| GRONBERGH, ADOLFSSONJ, ALYM, NORDSTROMT, WIKLUNDP, BRANDBERGY, THOMPSONJ, WIKLUNDF, LINDBERGJ, CLEMENTSM, EGEVADL & EKLUNDM 2015. Prostate cancer screening in men aged 50–69 years (STHLM3): a prospective population-based diagnostic study. Lancet Oncol, 16, 1667–76.2656350210.1016/S1470-2045(15)00361-7 | — | — | — |
| GRUCZARA, BUCHOLZKK, RICEJP & BIERUTLJ 2008. Secular trends in the lifetime prevalence of alcohol dependence in the United States: a re-evaluation. Alcohol Clin Exp Res, 32, 763–70.1833663310.1111/j.1530-0277.2008.00635.xPMC2443101 | — | — | — |
| HEATHAC & MARTINNG 1994. Genetic Influences on Alcohol-Consumption Patterns and Problem Drinking - Results from the Australian Nh-and-Mrc Twin Panel Follow-up Survey. Types of Alcoholics, 708, 72–85.10.1111/j.1749-6632.1994.tb24699.x8154691 | — | — | — |
| HESSELBROCKM, EASTONC, BUCHOLZKK, SCHUCKITM & HESSELBROCKV 1999. A validity study of the SSAGA--a comparison with the SCAN. Addiction, 94, 1361–70.1061572110.1046/j.1360-0443.1999.94913618.x | — | — | — |
| HUJOELMLA, LOHP-R, NEALEBM & PRICEAL 2021. Incorporating family history of disease improves polygenic risk scores in diverse populations. bioRxiv, 2021.04.15.439975.10.1016/j.xgen.2022.100152PMC935161535935918 | — | — | — |
| JOHNSONEC, ST PIERRECL, MEYERSJL, ALIEVF, MCCUTCHEONVV, LAIDB, DICKDM, GOATEAM, KRAMERJ, KUPERMANS, NURNBERGERJI, SCHUCKITMA, PORJESZB, EDENBERGHJ, BUCHOLZKK & AGRAWALA 2019. The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. Alcoholism-Clinical and Experimental Research, 43, 1113–1125.10.1111/acer.14064PMC656062630994927 | — | — | — |
| KACHURIL, GRAFFRE, SMITH-BYRNEK, MEYERSTJ, RASHKINSR, ZIVE, WITTEJS & JOHANSSONM 2020. Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction. bioRxiv, 2020.01.28.922088.10.1038/s41467-020-19600-4PMC769582933247094 | — | — | — |
| KANEREF, BEYERF, DICKINSONHO, PIENAARE, CAMPBELLF, SCHLESINGERC, HEATHERN, SAUNDERSJ & BURNANDB 2007. Effectiveness of brief alcohol interventions in primary care populations. Cochrane Database Syst Rev, CD004148.1744354110.1002/14651858.CD004148.pub3 | — | — | — |
| KANEREF, BEYERFR, MUIRHEADC, CAMPBELLF, PIENAARED, BERTHOLETN, DAEPPENJB, SAUNDERSJB & BURNANDB 2018. Effectiveness of brief alcohol interventions in primary care populations. Cochrane Database Syst Rev, 2, CD004148.2947665310.1002/14651858.CD004148.pub4PMC6491186 | — | — | — |
| 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, 106668.3304564210.1016/j.addbeh.2020.106668PMC7524522 | — | — | — |
| KENDLERKS, AGGENSH, PRESCOTTCA, CRABBEJ & NEALEMC 2012. Evidence for multiple genetic factors underlying the DSM-IV criteria for alcohol dependence. Mol Psychiatry, 17, 1306–15.2210562610.1038/mp.2011.153PMC3371163 | — | — | — |
| KHANS, OKUDAM, HASINDS, SECADES-VILLAR, KEYESK, LINKH, GRANTB & BLANCOC 2013. Gender differences in lifetime alcohol dependence: results from the national epidemiologic survey on alcohol and related conditions. Alcohol Clin Exp Res, 37, 1696–705.2376332910.1111/acer.12158PMC3796956 | — | — | — |
| 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, 1219–1224.3010476210.1038/s41588-018-0183-zPMC6128408 | — | — | — |
| KHERAAV, CHAFFINM, WADEKH, ZAHIDS, BRANCALEJ, XIAR, DISTEFANOM, SENOL-COSARO, HAASME, BICKA, ARAGAMKG, LANDERES, SMITHGD, MASON-SUARESH, FORNAGEM, LEBOM, TIMPSONNJ, KAPLANLM & KATHIRESANS 2019. Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood. Cell, 177, 587–596 e9.3100279510.1016/j.cell.2019.03.028PMC6661115 | — | — | — |
| KIISKINENT, MARSNJ, PALVIAINENT, KOSKELAJ, RAMOJT, RIPATTIP, RUOTSALAINENS, FINNGENGC, PALOTIEA, MADDENPAF, ROSERJ, KAPRIOJ, SALOMAAV, MAKELAP, HAVULINNAAS & RIPATTIS 2020. Genomic prediction of alcohol-related morbidity and mortality. Transl Psychiatry, 10, 23.3206666710.1038/s41398-019-0676-2PMC7026428 | — | — | — |
| KNOXJ, HASINDS, LARSONFRR & KRANZLERHR 2019. Prevention, screening, and treatment for heavy drinking and alcohol use disorder. Lancet Psychiatry, 6, 1054–1067.3163098210.1016/S2215-0366(19)30213-5PMC6883141 | — | — | — |
| 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, 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 2019. Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria. Genes Brain Behav, 18, e12579.3109016610.1111/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 2020. Genome-wide association studies of the self-rating of effects of ethanol (SRE). Addict Biol, 25, e12800.3127090610.1111/adb.12800PMC6940552 | — | — | — |
| LIUMZ, JIANGY, WEDOWR, LIY, BRAZELDM, CHENF, DATTAG, DAVILA-VELDERRAINJ, MCGUIRED, TIANC, ZHANXW, CHOQUETH, DOCHERTYAR, FAULJD, FOERSTERJR, FRITSCHELG, GABRIELSENME, GORDONSD, HAESSLERJ, HOTTENGAJJ, HUANGHY, JANGSK, JANSENPR, LINGY, MAGIR, MATOBAN, MCMAHONG, MULASA, ORRUV, 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, STANCAKOVAA, STEFANSSONH, THAIKK, TINDLEHA, TYRFINGSSONT, WALLTL, 2019. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics, 51, 237–+.3064325110.1038/s41588-018-0307-5PMC6358542 | — | — | — |
| LUY, POUGETJG, ANDREASSENOA, DJUROVICS, ESKOT, HULTMANCM, METSPALUA, MILANIL, WERGET & SULLIVANPF 2018. Genetic risk scores and family history as predictors of schizophrenia in Nordic registers. Psychol Med, 48, 1201–1208.2894274310.1017/S0033291717002665PMC6953171 | — | — | — |
| 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, 1909–1917.2855649410.1111/add.13890PMC5633502 | — | — | — |
| MOLLM, LUTZSM, GHOSHAJ, SAKORNSAKOLPATP, HERSHCP, BEATYTH, DUDBRIDGEF, TOBINMD, MITTLEMANMA, SILVERMANEK, HOBBSBD & CHOMH 2020. Relative contributions of family history and a polygenic risk score on COPD and related outcomes: COPDGene and ECLIPSE studies. BMJ Open Respir Res, 7.10.1136/bmjresp-2020-000755PMC768958633239407 | — | — | — |
| NIEMIMEK, MARTINHC, RICEDL, GALLONEG, GORDONS, KELEMENM, MCALONEYK, MCRAEJ, RADFORDEJ, YUS, GECZJ, MARTINNG, WRIGHTCF, FITZPATRICKDR, FIRTHHV, HURLESME & BARRETTJC 2018. Common genetic variants contribute to risk of rare severe neurodevelopmental disorders. Nature, 562, 268–271.3025822810.1038/s41586-018-0566-4PMC6726472 | — | — | — |
| 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, 1246–56.1558311610.1001/archpsyc.61.12.1246 | — | — | — |
| PANDEYG, SEAYMJ, MEYERSJL, CHORLIANDB, PANDEYAK, KAMARAJANC, EHRENBERGM, PITTID, KINREICHS, SUBBIE-SAENZ DE VITERIS, ACIONL, ANOKHINA, BAUERL, CHANG, EDENBERGH, HESSELBROCKV, KUPERMANS, MCCUTCHEONVV, BUCHOLZKK, SCHUCKITM & PORJESZB 2020. Density and Dichotomous Family History Measures of Alcohol Use Disorder as Predictors of Behavioral and Neural Phenotypes: A Comparative Study Across Gender and Race/Ethnicity. Alcohol Clin Exp Res, 44, 697–710.3195704710.1111/acer.14280PMC8357185 | — | — | — |
| PRESCOTTCA & KENDLERKS 1999. Genetic and environmental contributions to alcohol abuse and dependence in a population-based sample of male twins. Am J Psychiatry, 156, 34–40.989229510.1176/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, 904–9.1686216110.1038/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, 559–75.1770190110.1086/519795PMC1950838 | — | — | — |
| REICHT, EDENBERGHJ, GOATEA, WILLIAMSJT, RICEJP, VAN EERDEWEGHP, FOROUDT, HESSELBROCKV, SCHUCKITMA, BUCHOLZK, PORJESZB, LITK, CONNEALLYPM, NURNBERGERJI, TISCHFIELDJA, CROWERR, CLONINGERCR, WUW, SHEARSS, CARRK, CROSEC, WILLIGC & BEGLEITERH 1998. Genome-wide search for genes affecting the risk for alcohol dependence. American Journal of Medical Genetics, 81, 207–215.9603606 | — | — | — |
| 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, 107–118.10.1176/appi.ajp.2018.18040369PMC636568130336701 | — | — | — |
| SCHEUNERMT, WHITWORTHWC, MCGRUDERH, YOONPW & KHOURYMJ 2006. Expanding the definition of a positive family history for early-onset coronary heart disease. Genet Med, 8, 491–501.1691258010.1097/01.gim.0000232582.91028.03 | — | — | — |
| SCHUCKITMA, CLARKEDF, SMITHTL, MENDOZALA & SCHOENL 2020. The Search for Contributors to Low Rates of Recognition of Paternal Alcohol Use Disorders in Offspring From the San Diego Prospective Study. Alcohol Clin Exp Res, 44, 1551–1560.3258387210.1111/acer.14401PMC7454163 | — | — | — |
| SCHUCKITMA, SMITHTL, CLAUSENP, FROMMEK, SKIDMOREJ, SHAFIRA & KALMIJNJ 2016. The Low Level of Response to Alcohol-Based Heavy Drinking Prevention Program: One-Year Follow-Up. J Stud Alcohol Drugs, 77, 25–37.2675135210.15288/jsad.2016.77.25PMC4711317 | — | — | — |
| SELZAMS, KRAPOHLE, VON STUMMS, O’REILLYPF, RIMFELDK, KOVASY, DALEPS, LEEJJ & PLOMINR 2018. Predicting educational achievement from DNA. Mol Psychiatry, 23, 161.2894897010.1038/mp.2017.203PMC5754472 | — | — | — |
| SOLBERGLI, MACIOSEKMV & EDWARDSNM 2008. Primary care intervention to reduce alcohol misuse ranking its health impact and cost effectiveness. Am J Prev Med, 34, 143–152.1820164510.1016/j.amepre.2007.09.035 | — | — | — |
| TORKAMANIA, WINEINGERNE & TOPOLEJ 2018. The personal and clinical utility of polygenic risk scores. Nat Rev Genet, 19, 581–590.2978968610.1038/s41576-018-0018-x | — | — | — |
| VERHULSTB, NEALEMC & KENDLERKS 2015. The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychological Medicine, 45, 1061–1072.2517159610.1017/S0033291714002165PMC4345133 | — | — | — |
| WALTERSRK, POLIMANTIR, JOHNSONEC, MCCLINTICKJN, ADAMSMJ, ADKINSAE, ALIEVF, BACANUSA, BATZLERA, BERTELSENS, BIERNACKAJM, BIGDELITB, CHENLS, CLARKETK, CHOUYL, 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, WANGJC, WEBBBT, WEDOWR, WETHERILLL, WILLSAG, ANDME RESEARCHT, BOARDMANJD, CHEND, CHOIDS, COPELANDWE, CULVERHOUSERC, DAHMENN, DEGENHARDTL, DOMINGUEBW, ELSONSL, FRYEMA, GABELW, HAYWARDC, ISINGM, KEYESM, KIEFERF, KRAMERJ, KUPERMANS, LUCAES, LYNSKEYMT, MAIERW, MANNK, MANNISTOS, MULLER-MYHSOKB, MURRAYAD, NURNBERGERJI, PALOTIEA, PREUSSU, RAIKKONENK, REYNOLDSMD, RIDINGERM, SCHERBAUMN, SCHUCKITMA, SOYKAM, TREUTLEINJ, WITTS, 2018. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci, 21, 1656–1669.3048294810.1038/s41593-018-0275-1PMC6430207 | — | — | — |
| WELTERTL, ROSSMANNPD & HINESHE 2020. A health risk assessment and early alcohol intervention program for non-mandated students. J Am Coll Health, 1–10.10.1080/07448481.2020.180866132877615 | — | — | — |
| WHITLOCKEP, POLENMR, GREENCA, ORLEANST, KLEINJ & FORCEUSPST 2004. Behavioral counseling interventions in primary care to reduce risky/harmful alcohol use by adults: a summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med, 140, 557–68.1506898510.7326/0003-4819-140-7-200404060-00017 | — | — | — |
| WILLERCJ, LIY & ABECASISGR 2010. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics, 26, 2190–1.2061638210.1093/bioinformatics/btq340PMC2922887 | — | — | — |
| WORLD HEALTH ORGANIZATION 2018. Global status report on alcohol and health 2018: executive summary. Geneva: World Health Organization. | — | — | — |
| WRAYNR, LEESH, MEHTAD, VINKHUYZENAA, DUDBRIDGEF & MIDDELDORPCM 2014. Research review: Polygenic methods and their application to psychiatric traits. J Child Psychol Psychiatry, 55, 1068–87.2513241010.1111/jcpp.12295 | — | — | — |
| WRAYNR, LINT, AUSTINJ, MCGRATHJJ, HICKIEIB, MURRAYGK & VISSCHERPM 2020. From Basic Science to Clinical Application of Polygenic Risk Scores: A Primer. JAMA Psychiatry.10.1001/jamapsychiatry.2020.304932997097 | — | — | — |
| YANGJ, VISSCHERPM & WRAYNR 2010. Sporadic cases are the norm for complex disease. Eur J Hum Genet, 18, 1039–43.1982645410.1038/ejhg.2009.177PMC2987426 | — | — | — |
| 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 | — | — | — |
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Polygenic risk moderation of stressful life events in alcohol use disorder severity. | Agabani Z et al. | — | 2026 | → |
| Alcohol consumption and associated psychosocial factors in medical students. | Higuera-Dagovett E et al. | — | 2025 | → |
| A systematic review with meta-analysis on the relation between acute stress, alcohol consumption and cortisol levels in individuals with a personal, familial or no alcohol use disorder. | Weckesser LJ et al. | — | 2025 | → |
| Beyond volume: Unraveling the genetics of human brain geometry. | Primus SA et al. | — | 2025 | → |
| [Long-term courses of alcohol dependence]. | John U et al. | — | 2025 | → |
| Molecular Effect of Variants in Serotonin Transporter Gene in Women with Alcohol Use Disorder. | Rychel M et al. | — | 2025 | → |
| Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample. | Jinwala Z et al. | — | 2025 | → |
| Predictive performance for alcohol use disorder of polygenic scores based on the general addiction risk factor and problematic alcohol use. | Pérez-Gutiérrez AM et al. | — | 2025 | → |
| The effects of alcohol use severity and polygenic risk on gray matter volumes in young adults | Chen Y et al. | — | 2025 | — |
| The effects of alcohol use severity and polygenic risk on gray matter volumes in young adults. | Chen Y et al. | — | 2025 | → |
| The effects of polygenic risks for alcohol misuse on negative emotion processing in young adult binge drinkers. | Chen Y et al. | — | 2025 | → |
| Alcohol Use Disorder Polygenic Score Compared With Family History and ADH1B. | Lai D et al. | — | 2024 | → |
| Associations between alcohol use disorder polygenic score and remission in participants from high-risk families and the Indiana Biobank. | Lai D et al. | — | 2024 | → |
| Bariatric surgery patients in AUD treatment in Norway-an exploratory cross-sectional study. | Bramness JG et al. | — | 2024 | → |
| Differing Effects of Alcohol Use on Epigenetic and Brain Age in Adult Children of Parents with Alcohol Use Disorder. | Scholl JL et al. | — | 2024 | → |
| DNA Sequence Variations Affecting Serotonin Transporter Transcriptional Regulation and Activity: Do They Impact Alcohol Addiction? | Ferraguti G et al. | — | 2024 | → |
| Polygenic risk for alcohol use disorder affects cellular responses to ethanol exposure in a human microglial cell model. | Li X et al. | — | 2024 | → |
| Serial mediating effects of childhood trauma and conduct behaviors on the impact of family history among patients with alcohol use disorder. | Han MJ et al. | — | 2024 | → |
| 5. Collaborative Study on the Genetics of Alcoholism: Functional genomics. | Gameiro-Ros I et al. | — | 2023 | → |
| Genetic nurture effects for alcohol use disorder. | Thomas NS et al. | — | 2023 | → |
| Identifying Genes Associated with Alzheimer's Disease Using Gene-Based Polygenic Risk Score. | Lai D 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 | → |
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | Kamarajan C et al. | — | 2023 | → |
| The collaborative study on the genetics of alcoholism: Genetics. | Johnson EC et al. | — | 2023 | → |
| The Collaborative Study on the Genetics of Alcoholism: Overview. | Agrawal A et al. | — | 2023 | → |
| Gene-based polygenic risk scores analysis of alcohol use disorder in African Americans. | Lai D et al. | — | 2022 | → |
| The role of parental genotype in the intergenerational transmission of externalizing behavior: Evidence for genetic nurturance. | Kuo SI et al. | — | 2022 | → |