Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112 117).
paper
Cited
Public
- Authors
- Clarke, T-K; Adams, M J; Davies, G; Howard, D M; Hall, L S; Padmanabhan, S; Murray, A D; Smith, B H; Campbell, A; Hayward, C; Porteous, D J; Deary, I J; McIntosh, A M
- Year
- 2017
- Journal
- Molecular psychiatry
- PMID
- 28937693
- DOI
- 10.1038/mp.2017.153
- PMCID
- PMC5622124
Alcohol consumption has been linked to over 200 diseases and is responsible for over 5% of the global disease burden. Well-known genetic variants in alcohol metabolizing genes, for example, ALDH2 and ADH1B, are strongly associated with alcohol consumption but have limited impact in European populations where they are found at low frequency. We performed a genome-wide association study (GWAS) of self-reported alcohol consumption in 112 117 individuals in the UK Biobank (UKB) sample of white British individuals. We report significant genome-wide associations at 14 loci. These include single-nucleotide polymorphisms (SNPs) in alcohol metabolizing genes (ADH1B/ADH1C/ADH5) and two loci in KLB, a gene recently associated with alcohol consumption. We also identify SNPs at novel loci including GCKR, CADM2 and FAM69C. Gene-based analyses found significant associations with genes implicated in the neurobiology of substance use (DRD2, PDE4B). GCTA analyses found a significant SNP-based heritability of self-reported alcohol consumption of 13% (se=0.01). Sex-specific analyses found largely overlapping GWAS loci and the genetic correlation (rG) between male and female alcohol consumption was 0.90 (s.e.=0.09, P-value=7.16 × 10). Using LD score regression, genetic overlap was found between alcohol consumption and years of schooling (rG=0.18, s.e.=0.03), high-density lipoprotein cholesterol (rG=0.28, s.e.=0.05), smoking (rG=0.40, s.e.=0.06) and various anthropometric traits (for example, overweight, rG=-0.19, s.e.=0.05). This study replicates the association between alcohol consumption and alcohol metabolizing genes and KLB, and identifies novel gene associations that should be the focus of future studies investigating the neurobiology of alcohol consumption.
Manhattan plot of genome-wide association study (GWAS) of alcohol consumption in UK Biobank (UKB; N=112 177). Red line indicates threshold for genome-wide significance (P⩽5 × 10−8) and the blue line for suggestive significance (P⩽5 × 10−6).
Linkage disequilibrium (LD) zoom plots of 2 common single-nucleotide polymorphisms (SNPs; minor allele frequency (MAF) >5%) most significantly associated (P<5 × 10−8) with alcohol consumption in UK Biobank. (a) The rs2872821 on chromosome 4 in KLB and (b) rs1260326 on chromosome 2 located in GKCR (http://locuszoom.sph.umich.edu/).
Genetic correlation between Alcohol Consumption in UK Biobank (UKB) and other traits using linkage disequilibrium (LD) score regression implemented in LD Hub. All traits presented pass false discovery rate (FDR) correction for multiple testing. HDL, high-density lipoprotein.
1–20 of 46
Next →
| Name | Type |
|---|---|
| 1000 Genomes European reference panel local | cohort |
| 1000 Genomes Project | cohort |
| acetaldehyde | drug |
| addiction phenotypes | phenotype |
| ADH1B | gene |
| ADH1C | gene |
| ADH5 | gene |
| ADH6 | gene |
| ADH7 | gene |
| Affymetrix UK BiLEVE Axiom array local | drug |
| Affymetrix UK Biobank Axiom array local | drug |
| alcohol | phenotype |
| Alcohol consumption polygenic risk score local | drug |
| Alcohol consumption PRS local | drug |
| alcohol dependence | phenotype |
| Alcohol_dependence | phenotype |
| alcohol flush reaction | phenotype |
| alcoholism | phenotype |
| alcohol preference | phenotype |
| Alcohol Problems | phenotype |
| alcohol-related phenotypes | phenotype |
| Alcohol Use Disorder | phenotype |
| ALDH2 | gene |
| ARID4A | gene |
| attention deficit hyperactivity disorder | phenotype |
| AUD | phenotype |
| Australian twins cohort local | cohort |
| AUTS2 | gene |
| beer/cider local | drug |
| bipolar disorder | phenotype |
| BMI | phenotype |
| body mass index | phenotype |
| body weight | phenotype |
| brain | anatomy |
| British Cohort Study local | cohort |
| C4orf17 | gene |
| Cadm2 | gene |
| caffeine | drug |
| cancer | phenotype |
| cannabis use | phenotype |
| cardiovascular disease | phenotype |
| CDYL local | gene |
| cerebellum | anatomy |
| champagne | drug |
| CHARGE consortium cohort local | cohort |
| Childhood academic ability at age 11 years local | phenotype |
| Childhood height local | phenotype |
| Childhood intelligence local | phenotype |
| childhood obesity | phenotype |
| Cognitive ability in 70 year olds local | phenotype |
| college completion | phenotype |
| common variants | cohort |
| CTNNA2 | gene |
| current drinkers | phenotype |
| depression | phenotype |
| Disability-adjusted life years local | phenotype |
| disease | phenotype |
| Disease traits local | phenotype |
| DRD2 | gene |
| drinking pattern phenotypes local | phenotype |
| drinking status | phenotype |
| educational attainment | phenotype |
| ethanol consumption | phenotype |
| European GWAS (>105000) local | cohort |
| externalizing disorders | phenotype |
| FAM69C | gene |
| fasting insulin levels local | phenotype |
| Fgf21 | gene |
| former drinker | phenotype |
| fortified wine local | drug |
| FTO | gene |
| FTO variant local | variant |
| full sample | cohort |
| GCKR | gene |
| Generation Scotland | cohort |
| Generation Scotland: the Scottish Family Health Study local | cohort |
| Genetic variants identified in this study local | variant |
| GKCR local | gene |
| global deaths | phenotype |
| GS samples local | cohort |
| GTEx | cohort |
| GWAS of alcohol consumption (>105,000 Europeans) local | cohort |
| GWAS of alcohol consumption (47,501 Europeans) local | cohort |
| HDL cholesterol | phenotype |
| Health-related traits local | phenotype |
| Health traits local | phenotype |
| height | phenotype |
| High-density lipoprotein cholesterol levels local | phenotype |
| hip circumference | phenotype |
| human alcoholics | phenotype |
| hunger | phenotype |
| Illumina Genome Studio Analysis software v2011 local | drug |
| Illumina Human OmniExpressExome-8v1.0 Bead Chip local | drug |
| Infant head circumference local | phenotype |
| Klb | gene |
| LD Hub | cohort |
| LDL cholesterol | phenotype |
| leptin | drug |
| Leptin local | phenotype |
| Leptin levels local | phenotype |
| lifetime cannabis use | phenotype |
| Liver cirrhosis | phenotype |
| Lothian Birth Cohort local | cohort |
| major depressive disorder | phenotype |
| Maximum Habitual Alcohol Intake | phenotype |
| Mental ability at age 10 years local | phenotype |
| neuroinflammation | phenotype |
| neuropsychiatric disorders | phenotype |
| nicotine use | phenotype |
| non-drinkers | phenotype |
| obesity | phenotype |
| Obesity class 2 local | phenotype |
| oral cavity cancer | phenotype |
| overweight | phenotype |
| Pde4b | gene |
| PDLIM5 | gene |
| postmenopausal women | cohort |
| PPM1G local | gene |
| processing speed | phenotype |
| psychiatric disorders | phenotype |
| RCF1 | gene |
| reproductive success local | phenotype |
| resilience | phenotype |
| risk-taking behavior | phenotype |
| rodents | cohort |
| RPL9 local | gene |
| rs11940694 | variant |
| rs1229984 | variant |
| rs1260326 | variant |
| rs140089781 local | variant |
| rs145452708 local | variant |
| rs193099203 local | variant |
| rs2872821 local | variant |
| rs29001570 local | variant |
| rs35081954 local | variant |
| rs671 | variant |
| rs6943555 | variant |
| rs8012947 local | variant |
| rs9841829 local | variant |
| rs9991733 local | variant |
| Schumann et al.15 study local | cohort |
| sex | phenotype |
| smoking | phenotype |
| smoking status | phenotype |
| SNP | cohort |
| socioeconomic status | phenotype |
| spirits | drug |
| tobacco use | phenotype |
| total cholesterol levels local | phenotype |
| triglyceride levels | phenotype |
| Twin cohort | cohort |
| type 2 diabetes | phenotype |
| UK10K | cohort |
| UKB | cohort |
| UK BiLEVE | cohort |
| UK Biobank | cohort |
| Unrelated parents local | cohort |
| voluntary ethanol consumption | phenotype |
| White British individuals local | cohort |
| wine | drug |
| years of education | phenotype |
| ZNF512 | gene |
| β-klotho | drug |
No uploaded files.
Not in any collection.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| Agrawal A, Heath AC, Grant JD, Pergadia ML, Statham DJ, Bucholz KK et al. Assortative mating for cigarette smoking and for alcohol consumption in female Australian twins and their spouses. Behav Genet 2006; 36: 553–566.1671077510.1007/s10519-006-9081-8 | — | — | — |
| Avila D, Gobejishvili L, Myers S, Zhang J, Barker D, Whittemore S et al. Pathogenic role of phosphodiesterase 4B (PDE4B) in alcohol-induced neuro-inflammation. FASEB J 2015; 29: 771.718. | — | — | — |
| Batty GD, Deary IJ, Schoon I, Emslie C, Hunt K, Gale CR. Childhood mental ability and adult alcohol intake and alcohol problems: the 1970 British cohort study. Am J Public Health 2008; 98: 2237–2243.1823507010.2105/AJPH.2007.109488PMC2636535 | — | — | — |
| Bierut LJ, Goate AM, Breslau N, Johnson EO, Bertelsen S, Fox L et al. ADH1B is associated with alcohol dependence and alcohol consumption in populations of European and African ancestry. Mol Psychiatry 2012; 17: 445–450.2196892810.1038/mp.2011.124PMC3252425 | — | — | — |
| Birley AJ, James MR, Dickson PA, Montgomery GW, Heath AC, Whitfield JB et al. Association of the gastric alcohol dehydrogenase gene ADH7 with variation in alcohol metabolism. Hum Mol Genet 2008; 17: 179–189.1792151910.1093/hmg/ddm295 | — | — | — |
| Blednov YA, Benavidez JM, Black M, Harris RA. Inhibition of phosphodiesterase 4 reduces ethanol intake and preference in C57BL/6J mice. Front Neurosci 2014; 8: 129.2490426910.3389/fnins.2014.00129PMC4034339 | — | — | — |
| Breslow RA, Smothers BA. Drinking patterns and body mass index in never smokers: National Health Interview Survey, 1997-2001. Am J Epidemiol 2005; 161: 368–376.1569208110.1093/aje/kwi061 | — | — | — |
| Bulik-Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh PR et al. An atlas of genetic correlations across human diseases and traits. Nat Genet 2015; 47: 1236–1241.2641467610.1038/ng.3406PMC4797329 | — | — | — |
| Bulik-Sullivan BK, Loh PR, Finucane HK, Ripke S, Yang J et al. Schizophrenia Working Group of the Psychiatric Genomics Consortium. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat Genet 2015; 47: 291–295.2564263010.1038/ng.3211PMC4495769 | — | — | — |
| Clarke TK, Weiss AR, Ferarro TN, Kampman KM, Dackis CA, Pettinati HM et al. The dopamine receptor D2 (DRD2) SNP rs1076560 is associated with opioid addiction. Ann Hum Genet 2014; 78: 33–39.2435947610.1111/ahg.12046PMC4013426 | — | — | — |
| Compton WM, Thomas YF, Stinson FS, Grant BF. Prevalence, correlates, disability, and comorbidity of DSM-IV drug abuse and dependence in the United States: results from the national epidemiologic survey on alcohol and related conditions. Arch Gen Psychiatry 2007; 64: 566–576.1748560810.1001/archpsyc.64.5.566 | — | — | — |
| Corley J, Jia X, Brett CE, Gow AJ, Starr JM, Kyle JA et al. Alcohol intake and cognitive abilities in old age: the Lothian Birth Cohort 1936 study. Neuropsychology 2011; 25: 166–175.2138182410.1037/a0021571 | — | — | — |
| Davies G, Marioni RE, Liewald DC, Hill WD, Hagenaars SP, Harris SE et al. Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151). Mol Psychiatry 2016; 21: 758–767.2704664310.1038/mp.2016.45PMC4879186 | — | — | — |
| Day FR, Helgason H, Chasman DI, Rose LM, Loh PR, Scott RA et al. Physical and neurobehavioral determinants of reproductive onset and success. Nat Genet 2016; 48: 617–623.2708918010.1038/ng.3551PMC5238953 | — | — | — |
| de Leeuw CA, Mooij JM, Heskes T, Posthuma D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput Biol 2015; 11: e1004219.2588571010.1371/journal.pcbi.1004219PMC4401657 | — | — | — |
| de Timary P, Cani PD, Duchemin J, Neyrinck AM, Gihousse D, Laterre PF et al. The loss of metabolic control on alcohol drinking in heavy drinking alcohol-dependent subjects. PLoS ONE 2012; 7: e38682.2280801310.1371/journal.pone.0038682PMC3392266 | — | — | — |
| Delaneau O, Howie B, Cox AJ, Zagury JF, Marchini J. Haplotype estimation using sequencing reads. Am J Hum Genet 2013; 93: 687–696.2409474510.1016/j.ajhg.2013.09.002PMC3791270 | — | — | — |
| Edwards AC, Kendler KS. Twin study of the relationship between adolescent attention-deficit/hyperactivity disorder and adult alcohol dependence. J Stud Alcohol Drugs 2012; 73: 185–194.2233332610.15288/jsad.2012.73.185PMC3281978 | — | — | — |
| Engs RC, Hanson DJ, Gliksman L, Smythe C. Influence of religion and culture on drinking behaviours: a test of hypotheses between Canada and the USA. Br J Addict 1990; 85: 1475–1482.228584410.1111/j.1360-0443.1990.tb01631.x | — | — | — |
| Euesden J, Lewis CM, O'Reilly PF. PRSice: Polygenic Risk Score software. Bioinformatics 2015; 31: 1466–1468.2555032610.1093/bioinformatics/btu848PMC4410663 | — | — | — |
| Gelernter J, Kranzler HR, Sherva R, Almasy L, Koesterer R, Smith AH et al. Genome-wide association study of alcohol dependence:significant findings in African- and European-Americans including novel risk loci. Mol Psychiatry 2014; 19: 41–49.2416640910.1038/mp.2013.145PMC4165335 | — | — | — |
| Harada S, Agarwal DP, Goedde HW, Ishikawa B. Aldehyde dehydrogenase isozyme variation and alcoholism in Japan. Pharmacol Biochem Behav 1983; 18(Suppl 1): 151–153.663483110.1016/0091-3057(83)90163-6 | — | — | — |
| Hart AB, Lynch KG, Farrer L, Gelernter J, Kranzler HR. Which alcohol use disorder criteria contribute to the association of ADH1B with alcohol dependence? Addict Biol 2016; 21: 924–938.2582880910.1111/adb.12244PMC4591076 | — | — | — |
| Higuchi S. Polymorphisms of ethanol metabolizing enzyme genes and alcoholism. Alcohol Alcohol Suppl 1994; 2: 29–34.8974313 | — | — | — |
| Huang J, Howie B, McCarthy S, Memari Y, Walter K, Min JL et al. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel. Nat Commun 2015; 6: 8111.2636883010.1038/ncomms9111PMC4579394 | — | — | — |
| Huerta MC, Borgonovi F. Education, alcohol use and abuse among young adults in Britain. Soc Sci Med 2010; 71: 143–151.2045210910.1016/j.socscimed.2010.03.022 | — | — | — |
| Ibrahim-Verbaas CA, Bressler J, Debette S, Schuur M, Smith AV, Bis JC et al. GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry 2016; 21: 189–197.2586980410.1038/mp.2015.37PMC4722802 | — | — | — |
| Kendler KS, Heath AC, Neale MC, Kessler RC, Eaves LJ. Alcoholism and major depression in women. A twin study of the causes of comorbidity. Arch Gen Psychiatry 1993; 50: 690–698.835729410.1001/archpsyc.1993.01820210024003 | — | — | — |
| Lesseur C, Diergaarde B, Olshan AF, Wunsch-Filho V, Ness AR, Liu G et al. Genome-wide association analyses identify new susceptibility loci for oral cavity and pharyngeal cancer. Nat Genet 2016; 48: 1544–1550.2774984510.1038/ng.3685PMC5131845 | — | — | — |
| Li D, Zhao H, Gelernter J. Strong protective effect of the aldehyde dehydrogenase gene (ALDH2) 504lys (*2) allele against alcoholism and alcohol-induced medical diseases in Asians. Hum Genet 2012; 131: 725–737.2210231510.1007/s00439-011-1116-4PMC3548401 | — | — | — |
| Lieber CS. Relationships between nutrition, alcohol use, and liver disease. Alcohol Res Health 2003; 27: 220–231.15535450PMC6668875 | — | — | — |
| Macgregor S, Lind PA, Bucholz KK, Hansell NK, Madden PA, Richter MM et al. Associations of ADH and ALDH2 gene variation with self report alcohol reactions, consumption and dependence: an integrated analysis. Hum Mol Genet 2009; 18: 580–593.1899692310.1093/hmg/ddn372PMC2722191 | — | — | — |
| Mbarek H, Milaneschi Y, Fedko IO, Hottenga JJ, de Moor MH, Jansen R et al. The genetics of alcohol dependence: twin and SNP-based heritability, and genome-wide association study based on AUDIT scores. Am J Med Genet B Neuropsychiatr Genet 2015; 168: 739–748.2636542010.1002/ajmg.b.32379 | — | — | — |
| Munn-Chernoff MA, Duncan AE, Grant JD, Wade TD, Agrawal A, Bucholz KK et al. A twin study of alcohol dependence, binge eating, and compensatory behaviors. J Stud Alcohol Drugs 2013; 74: 664–673.2394852510.15288/jsad.2013.74.664PMC3749309 | — | — | — |
| Nagy R, Boutin TS, Marten J, Huffman JE, Kerr SM, Campbell A et al. Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants. Genome Med 2017; 9: 23.2827020110.1186/s13073-017-0414-4PMC5339960 | — | — | — |
| Nakawaga S, Schielzeth H. A general and simple method for obtaining R2 from generalized linear mixed-effect models. Methods Ecol Evol 2013; 4: 9. | — | — | — |
| Nivard MG, Verweij KJ, Minica CC, Treur JL International Cannabis Consortium Vink JM et al. Connecting the dots, genome-wide association studies in substance use. Mol Psychiatry 2016; 21: 1155–1156.2729818610.1038/mp.2016.93 | — | — | — |
| Otaka M, Konishi N, Odashima M, Jin M, Wada I, Matsuhashi T et al. Effect of alcohol consumption on leptin level in serum, adipose tissue, and gastric mucosa. Dig Dis Sci 2007; 52: 3066–3069.1740683510.1007/s10620-006-9635-x | — | — | — |
| Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81: 559–575.1770190110.1086/519795PMC1950838 | — | — | — |
| Raimondo A, Rees MG, Gloyn AL. Glucokinase regulatory protein: complexity at the crossroads of triglyceride and glucose metabolism. Curr Opin Lipidol 2015; 26: 88–95.2569234110.1097/MOL.0000000000000155PMC4422901 | — | — | — |
| Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J. Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet 2009; 373: 2223–2233.1956060410.1016/S0140-6736(09)60746-7 | — | — | — |
| Rojdmark S, Calissendorff J, Brismar K. Alcohol ingestion decreases both diurnal and nocturnal secretion of leptin in healthy individuals. Clin Endocrinol (Oxf) 2001; 55: 639–647.1189497610.1046/j.1365-2265.2001.01401.x | — | — | — |
| Rose RJ. A developmental behavior-genetic perspective on alcoholism risk. Alcohol Health Res World 1998; 22: 131–143.15706788PMC6761808 | — | — | — |
| Roth MJ, Baer DJ, Albert PS, Castonguay TW, Dorgan JF, Dawsey SM et al. Relationship between serum leptin levels and alcohol consumption in a controlled feeding and alcohol ingestion study. J Natl Cancer Inst 2003; 95: 1722–1725.1462526410.1093/jnci/djg090 | — | — | — |
| Ruggeri B, Nymberg C, Vuoksimaa E, Lourdusamy A, Wong CP, Carvalho FM et al. Association of protein phosphatase PPM1G with alcohol use disorder and brain activity during behavioral control in a genome-wide methylation analysis. Am J Psychiatry 2015; 172: 543–552.2598265910.1176/appi.ajp.2014.14030382PMC4827248 | — | — | — |
| Schumann G, Coin LJ, Lourdusamy A, Charoen P, Berger KH, Stacey D et al. Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption. Proc Natl Acad Sci USA 2011; 108: 7119–7124.2147145810.1073/pnas.1017288108PMC3084048 | — | — | — |
| Schumann G, Liu C, O'Reilly P, Gao H, Song P, Xu B et al. KLB is associated with alcohol drinking, and its gene product beta-Klotho is necessary for FGF21 regulation of alcohol preference. Proc Natl Acad Sci USA 2016; 113: 14372–14377.2791179510.1073/pnas.1611243113PMC5167198 | — | — | — |
| Shield KD, Parry C, Rehm J. Chronic diseases and conditions related to alcohol use. Alcohol Res 2013; 35: 155–173.2488132410.35946/arcr.v35.2.06PMC3908707 | — | — | — |
| Silva JM, Mendez MM, Gonzalo M, Pinto E. J-curve between alcohol consumption and carotid atherosclerosis in patients with dyslipidemia. An Med Interna 2000; 17: 582–587.11322030 | — | — | — |
| Smith BH, Campbell A, Linksted P, Fitzpatrick B, Jackson C, Kerr SM et al. Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness. Int J Epidemiol 2013; 42: 689–700.2278679910.1093/ije/dys084 | — | — | — |
| Smith BH, Campbell H, Blackwood D, Connell J, Connor M, Deary IJ et al. Generation Scotland: the Scottish Family Health Study; a new resource for researching genes and heritability. BMC Med Genet 2006; 7: 74.1701472610.1186/1471-2350-7-74PMC1592477 | — | — | — |
| Sobczyk-Kopciol A, Broda G, Wojnar M, Kurjata P, Jakubczyk A, Klimkiewicz A et al. Inverse association of the obesity predisposing FTO rs9939609 genotype with alcohol consumption and risk for alcohol dependence. Addiction 2011; 106: 739–748.2118255410.1111/j.1360-0443.2010.03248.x | — | — | — |
| Stringer S, Minica CC, Verweij KJ, Mbarek H, Bernard M, Derringer J et al. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Transl Psychiatry 2016; 6: e769.2702317510.1038/tp.2016.36PMC4872459 | — | — | — |
| Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 2015; 12: e1001779.2582637910.1371/journal.pmed.1001779PMC4380465 | — | — | — |
| Takeshita T, Morimoto K, Mao XQ, Hashimoto T, Furuyama J. Phenotypic differences in low Km aldehyde dehydrogenase in Japanese workers. Lancet 1993; 341: 837–838.8096045 | — | — | — |
| Tolstrup JS, Heitmann BL, Tjonneland AM, Overvad OK, Sorensen TI, Gronbaek MN. The relation between drinking pattern and body mass index and waist and hip circumference. Int J Obes (Lond) 2005; 29: 490–497.1567211410.1038/sj.ijo.0802874 | — | — | — |
| Traversy G, Chaput JP. Alcohol consumption and obesity: an update. Curr Obes Rep 2015; 4: 122–130.2574145510.1007/s13679-014-0129-4PMC4338356 | — | — | — |
| Verhulst B, Neale MC, Kendler KS. The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychol Med 2015; 45: 1061–1072.2517159610.1017/S0033291714002165PMC4345133 | — | — | — |
| Vink JM, Hottenga JJ, de Geus EJ, Willemsen G, Neale MC, Furberg H et al. Polygenic risk scores for smoking: predictors for alcohol and cannabis use? Addiction 2014; 109: 1141–1151.2445058810.1111/add.12491PMC4048635 | — | — | — |
| Vrieze SI, Feng S, Miller MB, Hicks BM, Pankratz N, Abecasis GR et al. Rare nonsynonymous exonic variants in addiction and behavioral disinhibition. Biol Psychiatry 2014; 75: 783–789.2409450810.1016/j.biopsych.2013.08.027PMC3975816 | — | — | — |
| Vu KN, Ballantyne CM, Hoogeveen RC, Nambi V, Volcik KA, Boerwinkle E et al. Causal role of alcohol consumption in an improved lipid profile: the Atherosclerosis Risk in Communities (ARIC) study. PLoS ONE 2016; 11: e0148765.2684955810.1371/journal.pone.0148765PMC4744040 | — | — | — |
| Wen RT, Zhang M, Qin WJ, Liu Q, Wang WP, Lawrence AJ et al. The phosphodiesterase-4 (PDE4) inhibitor rolipram decreases ethanol seeking and consumption in alcohol-preferring Fawn-Hooded rats. Alcohol Clin Exp Res 2012; 36: 2157–2167.2267151610.1111/j.1530-0277.2012.01845.xPMC4335658 | — | — | — |
| Willett W, Hennekens CH, Castelli W, Rosner B, Evans D, Taylor J et al. Effects of cigarette smoking on fasting triglyceride, total cholesterol, and HDL-cholesterol in women. Am Heart J 1983; 105: 417–421.682940410.1016/0002-8703(83)90358-7 | — | — | — |
| Williams J, Hagger-Johnson G. Childhood academic ability in relation to cigarette, alcohol and cannabis use from adolescence into early adulthood: Longitudinal Study of Young People in England (LSYPE). BMJ Open 2017; 7: e012989.10.1136/bmjopen-2016-012989PMC533767328228447 | — | — | — |
| World Health Organisation. Global status report on alcohol and health 2014. 2014. | — | — | — |
| Yang J, Ferreira T, Morris AP, Medland SE et al. Genetic Investigation of ANthropometric Traits (GIANT) Consortium; DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat Genet 2012; 44: 369–375, S361-363.2242631010.1038/ng.2213PMC3593158 | — | — | — |
| Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet 2011; 88: 76–82.2116746810.1016/j.ajhg.2010.11.011PMC3014363 | — | — | — |
| Yang J, Lee SH, Goddard ME, Visscher PM. Genome-wide complex trait analysis (GCTA): methods, data analyses, and interpretations. Methods Mol Biol 2013; 1019: 215–236.2375689310.1007/978-1-62703-447-0_9 | — | — | — |
| Zaitlen N, Kraft P, Patterson N, Pasaniuc B, Bhatia G, Pollack S et al. Using extended genealogy to estimate components of heritability for 23 quantitative and dichotomous traits. PLoS Genet 2013; 9: e1003520.2373775310.1371/journal.pgen.1003520PMC3667752 | — | — | — |
| Zheng J, Erzurumluoglu AM, Elsworth BL, Kemp JP, Howe L, Haycock PC et al. LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis. Bioinformatics 2017; 33: 272–279.2766350210.1093/bioinformatics/btw613PMC5542030 | — | — | — |
| Zhou YJ, Hong SC, Yin RX, Yang Q, Cao XL, Chen WX. Polymorphisms in the GCKR are associated with serum lipid traits, the risk of coronary artery disease and ischemic stroke. Int J Clin Exp Med 2015; 8: 10678–10686.26379859PMC4565242 | — | — | — |
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| FGF21 analogue PF-05231023 on alcohol consumption and neuronal activity in the nucleus accumbens. | Cooley BJ et al. | — | 2026 | → |
| Genome-wide association studies of lifetime and frequency of cannabis use in 131,895 individuals. | Thorpe HHA et al. | — | 2026 | → |
| Multiomics Mendelian Randomization Reveals Causal Oxidative Stress Genes in Androgenetic Alopecia. | Zhu Y et al. | — | 2026 | → |
| Sex differences in the genetic and causal relationships between depression, smoking, and alcohol use: the role of socioeconomic status. | Hu J et al. | — | 2026 | → |
| Shared genetic architecture of psychoactive substance use and pan-cancer: insights from a large‑scale genome‑wide cross‑trait analysis. | Song J et al. | — | 2026 | → |
| The genetics of cannabis lifetime use. | Bright U et al. | — | 2026 | → |
| Addiction Susceptibility: Genetic Factors, Personality Traits, and Epigenetic Interactions with the Gut Microbiome. | Borrego-Ruiz A et al. | — | 2025 | → |
| Apremilast reduces co-occurring alcohol drinking and mechanical allodynia and regulates central amygdala GABAergic transmission. | Vozella V et al. | — | 2025 | → |
| Association Between GABRG2 and Self-Rating of the Effects of Alcohol in a French Young Adult Sample. | Moe JS et al. | — | 2025 | → |
| Common-variant and rare-variant genetic architecture of heart failure across the allele-frequency spectrum. | Lee DSM et al. | — | 2025 | → |
| Elucidating the causal role of age of menarche, adiposity, lipid fractions, and blood pressure upon cardiovascular disease: a multivariable Mendelian randomization study. | Jee Y et al. | — | 2025 | → |
| Exploring the genetic causality of childhood maltreatment on multiple risk-related outcomes using Mendelian randomization: evidence from European-Ancestry GWAS. | Zhang Z et al. | — | 2025 | → |
| Genetically predicted modifiable risk factors for Helicobacter pylori infection: A Mendelian randomization study. | Zhang Z et al. | — | 2025 | → |
| Genetic analysis of alcohol use disorder: GWAS of alcohol use disorders identification test (AUDIT) and polygenic risk scores in an east slavic population. | Trofimov M et al. | — | 2025 | → |
| Genetic correlations of alcohol consumption and alcohol use disorder with sex hormone levels in females and males. | Waller TC et al. | — | 2025 | → |
| Genetic imputation of transcriptome and proteome illuminates novel therapeutic targets of cutaneous melanoma. | Xu Y et al. | — | 2025 | → |
| Genetic modifiers of frequent vaso-occlusive hospitalizations among individuals with sickle cell disease (SCD). | Ozahata MC et al. | — | 2025 | → |
| Genetic variants associated with gout identified through a genome-wide study in the UK biobank (N = 150 542). | Tao Y et al. | — | 2025 | → |
| Glucosamine supplementation contributes to reducing the risk of type 2 diabetes: Evidence from Mendelian randomization combined with a meta-analysis. | Zhou S et al. | — | 2025 | → |
| Integrated single-cell multiomic profiling of caudate nucleus suggests key mechanisms in alcohol use disorder. | Green NC et al. | — | 2025 | → |
| Kinship Decouple and Phenotype Selection (KDPS): a tool for phenotype-aware decoupling of related subjects. | Gu W et al. | — | 2025 | → |
| Multivariable Mendelian randomization study supports the causal effects of circulating metabolites on frailty. | Yang F et al. | — | 2025 | → |
| Navigating the Multiverse: a Hitchhiker's guide to selecting harmonization methods for multimodal biomedical data. | Magateshvaren Saras MA et al. | — | 2025 | → |
| Next-generation biomarkers for alcohol consumption and alcohol use disorder diagnosis, prognosis, and treatment: A critical review. | Clark SL et al. | — | 2025 | → |
| Non-invasive tests for MetALD and alcohol-related liver disease. | Johansen S et al. | — | 2025 | → |
| Poor sleep health is associated with older brain age: the role of systemic inflammation. | Miao Y et al. | — | 2025 | → |
| The causal association between 91 inflammatory Circulating proteins and intracerebral hemorrhage: A bidirectional two-sample Mendelian randomization study. | Liu C et al. | — | 2025 | → |
| The impact of the COVID-19 pandemic on alcohol use disorder symptoms: Testing interactions with polygenic risk. | Bountress KE et al. | — | 2025 | → |
| Uncovering genetic mechanisms associated with harmful use of alcohol in admixed Latin Americans. | Amaral EHB et al. | — | 2025 | → |
| Unraveling time-dependent genetic components underlying alcohol response. | Hikino K et al. | — | 2025 | → |
| Widespread but moderate genetic overlap between circulating polyunsaturated fatty acids and brain disorders. | Xu H et al. | — | 2025 | → |
| A high-resolution PheWAS approach to alcohol-related polygenic risk scores reveals mechanistic influences of alcohol reinforcing value and drinking motives. | Deng WQ et al. | — | 2024 | → |
| A Mendelian randomization study of alcohol use and cardiometabolic disease risk in a multi-ancestry population from the Million Veteran Program. | Kember RL et al. | — | 2024 | → |
| Assessment of the Relationship Between Genetic Determinants of Obesity, Unhealthy Eating Habits and Chronic Obstructive Pulmonary Disease: A Mendelian Randomisation Study. | Sun T et al. | — | 2024 | → |
| Association between alcohol consumption and incidence of dementia in current drinkers: linear and non-linear mendelian randomization analysis. | Zheng L et al. | — | 2024 | → |
| Association between walking pace and heart failure: A Mendelian randomization analysis. | Zheng H et al. | — | 2024 | → |
| Association of triglyceride glucose index with stroke: from two large cohort studies and Mendelian randomization analysis. | Jiang Y et al. | — | 2024 | → |
| Causal Associations between Tea Consumption and Rapid Eye Movement Sleep Behavior Disorder: A Mendelian Randomization Study. | Li J et al. | — | 2024 | → |
| Causal relationship between periodontal disease-related phenotype and knee osteoarthritis: A two-sample mendelian randomization analysis. | Shen L et al. | — | 2024 | → |
| Cell-type brain-region specific changes in prefrontal cortex of a mouse model of alcohol dependence. | Salem NA et al. | — | 2024 | → |
| Clinically relevant plasma proteome for adiposity depots: evidence from systematic mendelian randomization and colocalization analyses. | Cao M et al. | — | 2024 | → |
| Diabetes, Prediabetes, and Brain Aging: The Role of Healthy Lifestyle. | Dove A et al. | — | 2024 | → |
| Dissecting the association between blood pressure traits, hypertension, antihypertensive medications and epilepsy: A Mendelian randomization study. | Yu C et al. | — | 2024 | → |
| Effects of the Phosphodiesterase 10A Inhibitor MR1916 on Alcohol Self-Administration and Striatal Gene Expression in Post-Chronic Intermittent Ethanol-Exposed Rats. | Bertotto LB et al. | — | 2024 | → |
| Genetically predicted high serum sex hormone-binding globulin levels are associated with lower ischemic stroke risk: A sex-stratified Mendelian randomization study. | Sun W et al. | — | 2024 | → |
| Genetic architecture of alcohol consumption identified by a genotype-stratified GWAS and impact on esophageal cancer risk in Japanese people. | Koyanagi YN et al. | — | 2024 | → |
| Genetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders. | Koller D et al. | — | 2024 | → |
| Genetic susceptibility to caffeine intake and metabolism: a systematic review. | Low JJ et al. | — | 2024 | → |
| Genome-wide association studies of coffee intake in UK/US participants of European ancestry uncover cohort-specific genetic associations. | Thorpe HHA et al. | — | 2024 | → |
| Improved functional mapping of complex trait heritability with GSA-MiXeR implicates biologically specific gene sets. | Frei O et al. | — | 2024 | → |
| Rare and common variants associated with alcohol consumption identify a conserved molecular network. | Leger BS et al. | — | 2024 | → |
| Relation of Cognitive Reserve Indicator to Heart Disease and Cardiac Structure and Function: A Large Community-Based Longitudinal Study. | Li X et al. | — | 2024 | → |
| Revisiting an old relationship: the causal associations of the ApoB/ApoA1 ratio with cardiometabolic diseases and relative risk factors-a mendelian randomization analysis. | Fu C et al. | — | 2024 | → |
| Risk of major depressive increases with increasing frequency of alcohol drinking: a bidirectional two-sample Mendelian randomization analysis. | Feng W et al. | — | 2024 | → |
| Sex- and Substance-Specific Associations of Circadian-Related Genes with Addiction in the UK Biobank Cohort Implicate Neuroplasticity Pathways. | Khan A et al. | — | 2024 | → |
| SynCAMs in Normal Vertebrate Neural Development and Neuropsychiatric Disorders: from the Perspective of the OCAs. | Zhang L et al. | — | 2024 | → |
| Unravelling the complex causal effects of substance use behaviours on common diseases. | Xue A et al. | — | 2024 | → |
| "Weeding out" violence? Translational perspectives on the neuropsychobiological links between cannabis and aggression. | Bortolato M et al. | — | 2024 | → |
| Adolescent substance use and high school noncompletion: exploring the nature of the relationship using a discordant twin design. | Davis CN et al. | — | 2023 | → |
| A healthy lifestyle, Life's Essential 8 scores and new-onset severe NAFLD: A prospective analysis in UK Biobank. | He P et al. | — | 2023 | → |
| Alcohol Consumption and Alcohol Use Disorder: Exposing an Increasingly Shared Genetic Architecture. | White JD et al. | — | 2023 | → |
| Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments. | Busby GB et al. | — | 2023 | → |
| Aspirin is associated with a reduced incidence of liver disease in men. | Vell MS et al. | — | 2023 | → |
| Assessing the genetic relationship between gastroesophageal reflux disease and chronic respiratory diseases: a mendelian randomization study. | Cheng X et al. | — | 2023 | → |
| Association of Statin Use With Risk of Liver Disease, Hepatocellular Carcinoma, and Liver-Related Mortality. | Vell MS et al. | — | 2023 | → |
| A statistical genetic investigation of psychiatric resilience. | Cusack SE et al. | — | 2023 | → |
| Bounding the average causal effect in Mendelian randomisation studies with multiple proposed instruments: An application to prenatal alcohol exposure and attention deficit hyperactivity disorder. | Diemer EW et al. | — | 2023 | → |
| CADM2 is implicated in impulsive personality and numerous other traits by genome- and phenome-wide association studies in humans and mice. | Sanchez-Roige S et al. | — | 2023 | → |
| Combined handgrip strength and walking pace, genetic susceptibility, and incident hypertension: A prospective study in UK Biobank. | He P et al. | — | 2023 | → |
| Differences in genetic correlations between posttraumatic stress disorder and alcohol-related problems phenotypes compared to alcohol consumption-related phenotypes. | Bountress KE et al. | — | 2023 | → |
| Educational inequality in multimorbidity: causality and causal pathways. A mendelian randomisation study in UK Biobank. | North TL et al. | — | 2023 | → |
| Examining interactions between polygenic scores and interpersonal trauma exposure on alcohol consumption and use disorder in an ancestrally diverse college cohort. | Sheerin CM et al. | — | 2023 | → |
| Genetically determined alcohol consumption and cancer risk in Korea. | Jung KJ et al. | — | 2023 | → |
| Genetic associations between alcohol phenotypes and life satisfaction: a genomic structural equation modelling approach. | Bountress KE et al. | — | 2023 | → |
| Genetic correlation for alcohol consumption between Europeans and East Asians. | Liu X et al. | — | 2023 | → |
| Genetic influences on alcohol flushing in East Asian populations. | Cho Y et al. | — | 2023 | → |
| Genetic Underpinnings of the Transition From Alcohol Consumption to Alcohol Use Disorder: Shared and Unique Genetic Architectures in a Cross-Ancestry Sample. | Kember RL et al. | — | 2023 | → |
| GLP-1 receptor agonists are promising but unproven treatments for alcohol and substance use disorders. | Leggio L et al. | — | 2023 | → |
| Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality. | Tian YE et al. | — | 2023 | → |
| Identifying potential risk genes and pathways for neuropsychiatric and substance use disorders using intermediate molecular mediator information. | Gedik H et al. | — | 2023 | → |
| Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder. | Johnson EC et al. | — | 2023 | → |
| Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program. | Cheng Y et al. | — | 2023 | → |
| Natural allelic variation modifies acute ethanol response phenotypes in wild strains of C. elegans. | van Wijk MH et al. | — | 2023 | → |
| Polygenic contributions to performance on the Balloon Analogue Risk Task. | Nurmi EL 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 | → |
| Preclinical and clinical evidence for suppression of alcohol intake by apremilast. | Grigsby KB et al. | — | 2023 | → |
| Risk factors for human papillomavirus infection, cervical intraepithelial neoplasia and cervical cancer: an umbrella review and follow-up Mendelian randomisation studies. | Bowden SJ et al. | — | 2023 | → |
| RNA alternative splicing impacts the risk for alcohol use disorder. | Li R et al. | — | 2023 | → |
| Similarity and diversity of genetic architecture for complex traits between East Asian and European populations. | Zhang J et al. | — | 2023 | → |
| The associations of alcoholic liver disease and nonalcoholic fatty liver disease with bone mineral density and the mediation of serum 25-Hydroxyvitamin D: A bidirectional and two-step Mendelian randomization. | Huang Q et al. | — | 2023 | → |
| The genetics of falling susceptibility and identification of causal risk factors. | Smith MC et al. | — | 2023 | → |
| Transcriptome-wide association study by different approaches reveals candidate causal genes for cannabis use disorder. | Gao J et al. | — | 2023 | → |
| UK Biobank: a globally important resource for cancer research. | Conroy MC et al. | — | 2023 | → |
| Unravelling the complex causal effects of substance use behaviours on common diseases | Xue A et al. | — | 2023 | — |
| A Genome-Wide Association Study Reveals a <i>BDNF</i>-Centered Molecular Network Associated with Alcohol Dependence and Related Clinical Measures. | Levchenko A et al. | — | 2022 | → |
| Alcohol-Induced Oxidative Stress and the Role of Antioxidants in Alcohol Use Disorder: A Systematic Review. | Tsermpini EE et al. | — | 2022 | → |
| Alcohol use and alcohol use disorder differ in their genetic relationships with PTSD: A genomic structural equation modelling approach. | Bountress KE et al. | — | 2022 | → |
| Applying Mendelian randomization to appraise causality in relationships between nutrition and cancer. | Wade KH et al. | — | 2022 | → |
| Apremilast-induced increases in acute ethanol intoxication and decreases in ethanol drinking in mice involve PKA phosphorylation of GABA<sub>A</sub> β3 subunits. | Blednov YA et al. | — | 2022 | → |
| Association of Alcohol Use Disorder Risk With <i>ADH1B, DRD2, FAAH, SLC39A8, GCKR</i>, and <i>PDYN</i> Genetic Polymorphisms. | Legaki E et al. | — | 2022 | → |
| Associations between alcohol use and accelerated biological ageing. | Bøstrand SMK et al. | — | 2022 | → |
| Associations between cognition and polygenic liability to substance involvement in middle childhood: Results from the ABCD study. | Paul SE et al. | — | 2022 | → |
| A Systematic Review of Genetic Polymorphisms Associated with Bipolar Disorder Comorbid to Substance Abuse. | de Marco A et al. | — | 2022 | → |
| Binge and high-intensity drinking-Associations with intravenous alcohol self-administration and underlying risk factors. | Plawecki MH et al. | — | 2022 | → |
| Cigarette Smoking and Endometrial Cancer Risk: Observational and Mendelian Randomization Analyses. | Dimou N et al. | — | 2022 | → |
| Common and distinguishing genetic factors for substance use behavior and disorder: an integrated analysis of genomic and transcriptomic studies from both human and animal studies. | Chang XW et al. | — | 2022 | → |
| Context-dependant enhancers as a reservoir of functional polymorphisms and epigenetic markers linked to alcohol use disorders and comorbidities. | MacKenzie A et al. | — | 2022 | → |
| DNA methylation-based predictors of health: applications and statistical considerations. | Yousefi PD et al. | — | 2022 | → |
| Epigenome-wide association study of alcohol consumption in N = 8161 individuals and relevance to alcohol use disorder pathophysiology: identification of the cystine/glutamate transporter SLC7A11 as a top target. | Lohoff FW et al. | — | 2022 | → |
| Exploring ALDH2 expression and immune infiltration in HNSC and its correlation of prognosis with gender or alcohol intake. | Yao S et al. | — | 2022 | → |
| Familial co-aggregation and shared heritability between depression, anxiety, obesity and substance use. | Wang R et al. | — | 2022 | → |
| FGF21 suppresses alcohol consumption through an amygdalo-striatal circuit. | Flippo KH et al. | — | 2022 | → |
| Fibroblast Growth Factor 21 Facilitates the Homeostatic Control of Feeding Behavior. | Wu CT et al. | — | 2022 | → |
| Gene-lifestyle interactions in the genomics of human complex traits. | Laville V et al. | — | 2022 | → |
| Genes regulating levels of ω-3 long-chain polyunsaturated fatty acids are associated with alcohol use disorder and consumption, and broader externalizing behavior in humans. | Aliev F et al. | — | 2022 | → |
| Genetic evidence of tri-genealogy hypothesis on the origin of ethnic minorities in Yunnan. | Yang Z et al. | — | 2022 | → |
| Genome-wide analysis reveals genetic overlap between alcohol use behaviours, schizophrenia and bipolar disorder and identifies novel shared risk loci. | Wiström ED et al. | — | 2022 | → |
| Intestinal epithelial β Klotho is a critical protective factor in alcohol-induced intestinal barrier dysfunction and liver injury. | Hou Z et al. | — | 2022 | → |
| Non-coding RNA in alcohol use disorder by affecting synaptic plasticity. | Zhu S et al. | — | 2022 | → |
| Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk. | Barr PB et al. | — | 2022 | → |
| Predicting Alcohol Use From Genome-Wide Polygenic Scores, Environmental Factors, and Their Interactions in Young Adulthood. | Kandaswamy R et al. | — | 2022 | → |
| RNA biomarkers for alcohol use disorder. | Ferguson LB et al. | — | 2022 | → |
| Signatures of Convergent Evolution and Natural Selection at the Alcohol Dehydrogenase Gene Region are Correlated with Agriculture in Ethnically Diverse Africans. | McQuillan MA et al. | — | 2022 | → |
| Strong and weak cross-inheritance of substance use disorders in a nationally representative sample. | Zhang H et al. | — | 2022 | → |
| Substance use and common contributors to morbidity: A genetics perspective. | Sanchez-Roige S et al. | — | 2022 | → |
| Understanding Factors That Cause Tinnitus: A Mendelian Randomization Study in the UK Biobank. | Cresswell M et al. | — | 2022 | → |
| A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior. | Meyers JL et al. | — | 2021 | → |
| Alcohol and the brain: from genes to circuits. | Egervari G et al. | — | 2021 | → |
| Alcohol Consumption and Incident Cataract Surgery in Two Large UK Cohorts. | Chua SYL et al. | — | 2021 | → |
| Alcohol consumption is associated with widespread changes in blood DNA methylation: Analysis of cross-sectional and longitudinal data. | Dugué PA et al. | — | 2021 | → |
| A long non-coding RNA (Lrap) modulates brain gene expression and levels of alcohol consumption in rats. | Saba LM et al. | — | 2021 | → |
| A Mendelian Randomization Study of Plasma Homocysteine Levels and Cerebrovascular and Neurodegenerative Diseases. | Liu W et al. | — | 2021 | → |
| An exploration of the genetic epidemiology of non-suicidal self-harm and suicide attempt. | Russell AE et al. | — | 2021 | → |
| An integrative systems-based analysis of substance use: eQTL-informed gene-based tests, gene networks, and biological mechanisms. | Gerring ZF et al. | — | 2021 | → |
| Associations between the CADM2 gene, substance use, risky sexual behavior, and self-control: A phenome-wide association study. | Arends RM et al. | — | 2021 | → |
| Associations of Alcohol Consumption with Cardiovascular Disease-Related Proteomic Biomarkers: The Framingham Heart Study. | Sun X et al. | — | 2021 | → |
| Associations of Alcohol Consumption with Cerebrospinal Fluid Biomarkers of Alzheimer's Disease Pathology in Cognitively Intact Older Adults: The CABLE Study. | Wang ZT et al. | — | 2021 | → |
| A systematic review of gene-by-intervention studies of alcohol and other substance use. | Neale ZE et al. | — | 2021 | → |
| A systems omics-based approach to decode substance use disorders and neuroadaptations. | Veerappa A et al. | — | 2021 | → |
| Bias in two-sample Mendelian randomization when using heritable covariable-adjusted summary associations. | Hartwig FP et al. | — | 2021 | → |
| Coffee Consumption and Incident Tachyarrhythmias: Reported Behavior, Mendelian Randomization, and Their Interactions. | Kim EJ et al. | — | 2021 | → |
| Coffee consumption and risk of breast cancer: A Mendelian randomization study. | Ellingjord-Dale M et al. | — | 2021 | → |
| Converging vulnerability factors for compulsive food and drug use. | Serafine KM et al. | — | 2021 | → |
| Dimensional Phenotypes in Psychiatric Genetics: Lessons from Genome-Wide Association Studies of Alcohol Use Phenotypes. | Mallard TT et al. | — | 2021 | → |
| Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk. | De Angelis F et al. | — | 2021 | → |
| Educational attainment impacts drinking behaviors and risk for alcohol dependence: results from a two-sample Mendelian randomization study with ~780,000 participants. | Rosoff DB et al. | — | 2021 | → |
| Enhancing Research Through the Use of the Genotype-Tissue Expression (GTEx) Database. | Stanfill AG et al. | — | 2021 | → |
| Evidence for shared genetics between physical activity, sedentary behaviour and adiposity-related traits. | Schnurr TM et al. | — | 2021 | → |
| Examining Sex-Differentiated Genetic Effects Across Neuropsychiatric and Behavioral Traits. | Martin J et al. | — | 2021 | → |
| Further evidence supporting a potential role for ADH1B in obesity. | Morales LD et al. | — | 2021 | → |
| Genetic and shared couple environmental contributions to smoking and alcohol use in the UK population. | Clarke TK et al. | — | 2021 | → |
| Genetic contributions to alcohol use disorder treatment outcomes: a genome-wide pharmacogenomics study. | Biernacka JM et al. | — | 2021 | → |
| Genetics of substance use disorders: a review. | Deak JD et al. | — | 2021 | → |
| Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes. | Xue A et al. | — | 2021 | → |
| Genome-wide association study of early-onset bipolar I disorder in the Han Taiwanese population. | Wu LS et al. | — | 2021 | → |
| Heart Failure and Ischemic Stroke: A Bidirectional and Multivariable Mendelian Randomization Study. | Zhang L et al. | — | 2021 | → |
| Heritability of ethanol consumption and pharmacokinetics in a genetically diverse panel of collaborative cross mouse strains and their inbred founders. | Bagley JR et al. | — | 2021 | → |
| Identifying causality, genetic correlation, priority and pathways of large-scale complex exposures of breast and ovarian cancers. | Si S et al. | — | 2021 | → |
| <i>VTRNA2-1</i>: Genetic Variation, Heritable Methylation and Disease Association. | Dugué PA et al. | — | 2021 | → |
| Long tracks of homozygosity predict the severity of alcohol use disorders in an American Indian population. | Peng Q et al. | — | 2021 | → |
| Nectins and Nectin-like molecules in synapse formation and involvement in neurological diseases. | Mizutani K et al. | — | 2021 | → |
| Novel characterization of the multivariate genetic architecture of internalizing psychopathology and alcohol use. | Colbert SMC et al. | — | 2021 | → |
| Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples. | Johnson EC et al. | — | 2021 | → |
| Potential causal effect of posttraumatic stress disorder on alcohol use disorder and alcohol consumption in individuals of European descent: A Mendelian Randomization Study. | Bountress KE et al. | — | 2021 | → |
| Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach. | Kinreich S et al. | — | 2021 | → |
| Predicting risk for Alcohol Use Disorder using longitudinal data with multimodal biomarkers and family history: a machine learning study. | Kinreich S et al. | — | 2021 | → |
| Protein Appetite at the Interface between Nutrient Sensing and Physiological Homeostasis. | Khan MS et al. | — | 2021 | → |
| Reaction Time and Visual Memory in Connection with Alcohol Use in Schizophrenia and Schizoaffective Disorder. | Mazumder AH et al. | — | 2021 | → |
| Relationship Between Serum Amino Acid Levels and Bone Mineral Density: A Mendelian Randomization Study. | Cui Z et al. | — | 2021 | → |
| The Aldehyde Dehydrogenase ALDH2*2 Allele, Associated with Alcohol Drinking Behavior, Dates Back to Prehistoric Times. | Lin CL et al. | — | 2021 | → |
| The Effect of FGF21 and Its Genetic Variants on Food and Drug Cravings, Adipokines and Metabolic Traits. | Epperlein S et al. | — | 2021 | → |
| The Nuanced Metabolic Functions of Endogenous FGF21 Depend on the Nature of the Stimulus, Tissue Source, and Experimental Model. | Spann RA et al. | — | 2021 | → |
| The role of age at menarche and age at menopause in Alzheimer's disease: evidence from a bidirectional mendelian randomization study. | Li M et al. | — | 2021 | → |
| The Role of FER rs4957796 in the Risk of Developing and Dying from a Bloodstream Infection: A 23-Year Follow-up of the Population-based Nord-Trøndelag Health Study. | Rogne T et al. | — | 2021 | → |
| TSPAN5 influences serotonin and kynurenine: pharmacogenomic mechanisms related to alcohol use disorder and acamprosate treatment response. | Ho MF et al. | — | 2021 | → |
| Understanding the effect of smoking and drinking behavior on Parkinson's disease risk: a Mendelian randomization study. | Domínguez-Baleón C et al. | — | 2021 | → |
| Antibody-mediated activation of the FGFR1/Klothoβ complex corrects metabolic dysfunction and alters food preference in obese humans. | Baruch A et al. | — | 2020 | → |
| An update on the role of common genetic variation underlying substance use disorders. | Johnson EC et al. | — | 2020 | → |
| Association between polygenic liability for schizophrenia and substance involvement: A nationwide population-based study in Taiwan. | Wang SH et al. | — | 2020 | → |
| Association of Gray Matter and Personality Development With Increased Drunkenness Frequency During Adolescence. | Robert GH et al. | — | 2020 | → |
| Associations of Observational and Genetically Determined Caffeine Intake With Coronary Artery Disease and Diabetes Mellitus. | Said MA et al. | — | 2020 | → |
| Cannabinoids and psychotic symptoms: A potential role for a genetic variant in the P2X purinoceptor 7 (P2RX7) gene. | Boks MP et al. | — | 2020 | → |
| Cognitive functioning and lifetime major depressive disorder in UK Biobank. | de Nooij L et al. | — | 2020 | → |
| Convergent Evidence for Predispositional Effects of Brain Gray Matter Volume on Alcohol Consumption. | Baranger DAA et al. | — | 2020 | → |
| CUX2, BRAP and ALDH2 are associated with metabolic traits in people with excessive alcohol consumption. | Chen IC et al. | — | 2020 | → |
| Differentiating Types of Self-Reported Alcohol Abstinence. | Gordon KS et al. | — | 2020 | → |
| Educational attainment reduces the risk of suicide attempt among individuals with and without psychiatric disorders independent of cognition: a bidirectional and multivariable Mendelian randomization study with more than 815,000 participants. | Rosoff DB et al. | — | 2020 | → |
| Effect of genetic liability to migraine on cognition and brain volume: A Mendelian randomization study. | Daghlas I et al. | — | 2020 | → |
| Emerging phenotyping strategies will advance our understanding of psychiatric genetics. | Sanchez-Roige S et al. | — | 2020 | → |
| Expression of Dopamine-Related Genes in Four Human Brain Regions. | Stanfill AG et al. | — | 2020 | → |
| FGF21 and the Physiological Regulation of Macronutrient Preference. | Hill CM et al. | — | 2020 | → |
| Flying Together: <i>Drosophila</i> as a Tool to Understand the Genetics of Human Alcoholism. | Lathen DR et al. | — | 2020 | → |
| Functional validity, role, and implications of heavy alcohol consumption genetic loci. | Thompson A et al. | — | 2020 | → |
| Genetic variants associated with alcohol dependence co-ordinate regulation of ADH genes in gastrointestinal and adipose tissues. | Hibberd R et al. | — | 2020 | → |
| Genome-Wide Association Meta-Analysis of Individuals of European Ancestry Identifies Suggestive Loci for Sodium Intake, Potassium Intake, and Their Ratio Measured from 24-Hour or Half-Day Urine Samples. | Kho M et al. | — | 2020 | → |
| Genomic prediction of alcohol-related morbidity and mortality. | Kiiskinen T et al. | — | 2020 | → |
| GWAS of 165,084 Japanese individuals identified nine loci associated with dietary habits. | Matoba N et al. | — | 2020 | → |
| <i>Aldh2</i> gene reduces oxidative stress in the bladder by regulating the NF-κB pathway in a mouse model of ketamine-induced cystitis. | Xi XJ et al. | — | 2020 | → |
| Identification of Functional Genetic Variants Associated With Alcohol Dependence and Related Phenotypes Using a High-Throughput Assay. | Thapa KS et al. | — | 2020 | → |
| Often Overlooked and Ignored, but Do Not Underestimate Its Relevance: ADHD in Addiction - Addiction in ADHD. | Schellekens AFA et al. | — | 2020 | → |
| Post-GWAS analysis of six substance use traits improves the identification and functional interpretation of genetic risk loci. | Marees AT et al. | — | 2020 | → |
| Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health. | Marees AT et al. | — | 2020 | → |
| Recent advances in genetic studies of alcohol use disorders. | Gupta I et al. | — | 2020 | → |
| Recent Efforts to Dissect the Genetic Basis of Alcohol Use and Abuse. | Sanchez-Roige S et al. | — | 2020 | → |
| Relationship between relative deprivation and health of Hainan Island residents: mediating effect of negative health behaviors. | Wu N et al. | — | 2020 | → |
| Schizophrenia, Bipolar Disorder, and Alzheimer's Disease are not Causal Factors of Bone Mineral Density: A Mendelian Randomization Analysis. | Cui Z et al. | — | 2020 | → |
| Studies of human twins reveal genetic variation that affects dietary fat perception. | Lin C et al. | — | 2020 | → |
| Substance use: Interplay between polygenic risk and neighborhood environment. | Pasman JA et al. | — | 2020 | → |
| The Effect of Plasma Lipids and Lipid-Lowering Interventions on Bone Mineral Density: A Mendelian Randomization Study. | Zheng J et al. | — | 2020 | → |
| The Genetics of Externalizing Problems. | Barr PB et al. | — | 2020 | → |
| Translational Molecular Approaches in Substance Abuse Research. | Fulton SL et al. | — | 2020 | → |
| A Dozen Years of Discovery: Insights into the Physiology and Pharmacology of FGF21. | Kliewer SA et al. | — | 2019 | → |
| A genome-wide association study of bitter and sweet beverage consumption. | Zhong VW et al. | — | 2019 | → |
| Alcohol-responsive genes identified in human iPSC-derived neural cultures. | Jensen KP et al. | — | 2019 | → |
| Alcohol use disorders. | Carvalho AF et al. | — | 2019 | → |
| Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism. | Kapoor M et al. | — | 2019 | → |
| Assessment of the Association of D2 Dopamine Receptor Gene and Reported Allele Frequencies With Alcohol Use Disorders: A Systematic Review and Meta-analysis. | Jung Y et al. | — | 2019 | → |
| Associations between polygenic risk for tobacco and alcohol use and liability to tobacco and alcohol use, and psychiatric disorders in an independent sample of 13,999 Australian adults. | Chang LH et al. | — | 2019 | → |
| Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder. | Salvatore JE et al. | — | 2019 | → |
| Bioinformatic and biological avenues for understanding alcohol use disorder. | Grantham EK et al. | — | 2019 | → |
| Cardiac Troponin T and Troponin I in the General Population. | Welsh P et al. | — | 2019 | → |
| Combining lifestyle risks to disentangle brain structure and functional connectivity differences in older adults. | Bittner N et al. | — | 2019 | → |
| Comparative genetic architectures of schizophrenia in East Asian and European populations. | Lam M et al. | — | 2019 | → |
| Convergent Evidence From Humans and Drosophila melanogaster Implicates the Transcription Factor MEF2B/Mef2 in Alcohol Sensitivity. | Schmitt RE et al. | — | 2019 | → |
| Cross-species alcohol dependence-associated gene networks: Co-analysis of mouse brain gene expression and human genome-wide association data. | Mignogna KM et al. | — | 2019 | → |
| Does smoking or alcohol cause early vascular damage in teenage years? | Xin Y et al. | — | 2019 | → |
| Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes. | Chung W et al. | — | 2019 | → |
| Ethanol activates immune response in lymphoblastoid cells. | McClintick JN et al. | — | 2019 | → |
| Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium. | Polimanti R et al. | — | 2019 | → |
| Fibroblast growth factor 21: an endocrine inhibitor of sugar and alcohol appetite. | von Holstein-Rathlou S et al. | — | 2019 | → |
| Genes, Roommates, and Residence Halls: A Multidimensional Study of the Role of Peer Drinking on College Students' Alcohol Use. | Smith RL et al. | — | 2019 | → |
| Genetic determinants of beverage consumption: Implications for nutrition and health. | Cornelis MC | — | 2019 | → |
| Genetic evidence for assortative mating on alcohol consumption in the UK Biobank. | Howe LJ et al. | — | 2019 | → |
| Genetic loci for alcohol-related life events and substance-induced affective symptoms: indexing the "dark side" of addiction. | Peng Q et al. | — | 2019 | → |
| Genetic risk for schizophrenia is associated with substance use in emerging adulthood: an event-level polygenic prediction model. | Mallard TT et al. | — | 2019 | → |
| Genetics of Alcoholism. | Edenberg HJ et al. | — | 2019 | → |
| Genetics of alcohol use disorder: a review. | Deak JD et al. | — | 2019 | → |
| Genetic variation in CADM2 as a link between psychological traits and obesity. | Morris J et al. | — | 2019 | → |
| Genetic Vulnerability for Smoking and Cannabis Use: Associations With E-Cigarette and Water Pipe Use. | Allegrini AG et al. | — | 2019 | → |
| Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria. | Lai D et al. | — | 2019 | → |
| Genome-Wide Association Studies of Impulsive Personality Traits (BIS-11 and UPPS-P) and Drug Experimentation in up to 22,861 Adult Research Participants Identify Loci in the <i>CACNA1I</i> and <i>CADM2</i> genes. | Sanchez-Roige S et al. | — | 2019 | → |
| Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts. | Sanchez-Roige S et al. | — | 2019 | → |
| Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. | Kranzler HR et al. | — | 2019 | → |
| Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry. | Sanchez-Roige S et al. | — | 2019 | → |
| Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci. | Gelernter J et al. | — | 2019 | → |
| GWAS for urinary sodium and potassium excretion highlights pathways shared with cardiovascular traits. | Pazoki R et al. | — | 2019 | → |
| How Much Do You Drink on Your Heavy Drinking Day? | Edenberg HJ | — | 2019 | → |
| <i>PDE4B</i> gene polymorphism in Russian patients with panic disorder. | Malakhova AV et al. | — | 2019 | → |
| Mendelian randomisation: A powerful and inexpensive method for identifying and excluding non-genetic risk factors for colorectal cancer. | Cornish AJ et al. | — | 2019 | → |
| Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol-Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort. | Meda SA et al. | — | 2019 | → |
| Neuroimmune signaling in alcohol use disorder. | Erickson EK et al. | — | 2019 | → |
| New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. | Evangelou E et al. | — | 2019 | → |
| Pharmacogenetics of alcohol use disorder treatments: an update. | Hartwell EE et al. | — | 2019 | → |
| Phenome-wide investigation of health outcomes associated with genetic predisposition to loneliness. | Abdellaoui A et al. | — | 2019 | → |
| Presence of recombination hotspots throughout SLC6A3. | Zhao J et al. | — | 2019 | → |
| Problems in interpreting and using GWAS of conditional phenotypes illustrated by 'alcohol GWAS'. | Holmes MV et al. | — | 2019 | → |
| Risky behaviors and Parkinson disease: A mendelian randomization study. | Grover S et al. | — | 2019 | → |
| Sex differences in the genetic architecture of obsessive-compulsive disorder. | Khramtsova EA et al. | — | 2019 | → |
| Statistical Methods and Software for Substance Use and Dependence Genetic Research. | Lan T et al. | — | 2019 | → |
| The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype. | Stanaway IB et al. | — | 2019 | → |
| The Family Check-up Intervention Moderates Polygenic Influences on Long-Term Alcohol Outcomes: Results from a Randomized Intervention Trial. | Kuo SI et al. | — | 2019 | → |
| The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. | Johnson EC et al. | — | 2019 | → |
| Trace amine-associated receptor gene polymorphism increases drug craving in individuals with methamphetamine dependence. | Loftis JM et al. | — | 2019 | → |
| Transcriptomic Characterization of the Human Insular Cortex and Claustrum. | Ibrahim C et al. | — | 2019 | → |
| Alcohol Consumption and Subclinical Findings on Cognitive Function, Biochemical Indexes, and Cortical Anatomy in Cognitively Normal Aging Han Chinese Population. | Sun L et al. | — | 2018 | → |
| Alcohol Dehydrogenases, Aldehyde Dehydrogenases, and Alcohol Use Disorders: A Critical Review. | Edenberg HJ et al. | — | 2018 | → |
| A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver. | Strunz T et al. | — | 2018 | → |
| Apremilast Alters Behavioral Responses to Ethanol in Mice: II. Increased Sedation, Intoxication, and Reduced Acute Functional Tolerance. | Blednov YA et al. | — | 2018 | → |
| Apremilast Alters Behavioral Responses to Ethanol in Mice: I. Reduced Consumption and Preference. | Blednov YA et al. | — | 2018 | → |
| Associations of coffee genetic risk scores with consumption of coffee, tea and other beverages in the UK Biobank. | Taylor AE et al. | — | 2018 | → |
| Association study of BDNF and DRD3 genes with alcohol use disorder in Schizophrenia. | Zai CC et al. | — | 2018 | → |
| A Whole Methylome Study of Ethanol Exposure in Brain and Blood: An Exploration of the Utility of Peripheral Blood as Proxy Tissue for Brain in Alcohol Methylation Studies. | Clark SL et al. | — | 2018 | → |
| Cross-species molecular dissection across alcohol behavioral domains. | Farris SP et al. | — | 2018 | → |
| Early Life Stress as a Predictor of Co-Occurring Alcohol Use Disorder and Post-Traumatic Stress Disorder. | Lee RS et al. | — | 2018 | → |
| Epigenetic prediction of complex traits and death. | McCartney DL et al. | — | 2018 | → |
| Evaluation of the causal effects between subjective wellbeing and cardiometabolic health: mendelian randomisation study. | Wootton RE et al. | — | 2018 | → |
| Evaluation of the diet wide contribution to serum urate levels: meta-analysis of population based cohorts. | Major TJ et al. | — | 2018 | → |
| FGF21, a liver hormone that inhibits alcohol intake in mice, increases in human circulation after acute alcohol ingestion and sustained binge drinking at Oktoberfest. | Søberg S et al. | — | 2018 | → |
| Genetics of Alcohol Use Disorder: A Role for Induced Pluripotent Stem Cells? | Prytkova I et al. | — | 2018 | → |
| Genetics of self-reported risk-taking behaviour, trans-ethnic consistency and relevance to brain gene expression. | Strawbridge RJ et al. | — | 2018 | → |
| Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort. | Strawbridge RJ et al. | — | 2018 | → |
| Genome-wide association meta-analysis of age at first cannabis use. | Minică CC et al. | — | 2018 | → |
| Genome-wide association study for risk taking propensity indicates shared pathways with body mass index. | Clifton EAD et al. | — | 2018 | → |
| Genomewide Association Study of Alcohol Dependence and Related Traits in a Thai Population. | Gelernter J et al. | — | 2018 | → |
| Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE. | Klimentidis YC et al. | — | 2018 | → |
| GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia. | Pasman JA et al. | — | 2018 | → |
| Human Genetics of Addiction: New Insights and Future Directions. | Hancock DB et al. | — | 2018 | → |
| If you drink, don't smoke: Joint associations between risky health behaviors and labor market outcomes. | Böckerman P et al. | — | 2018 | → |
| Investigational drug therapies in phase I and phase II clinical trials for alcohol use disorders. | Walker LC et al. | — | 2018 | → |
| Investigation of the CADM2 polymorphism rs17518584 in memory and executive functions measures in a cohort of young healthy individuals. | Ibrahim O et al. | — | 2018 | → |
| Is There Causal Relationship of Smoking and Alcohol Consumption with Bone Mineral Density? A Mendelian Randomization Study. | Guo R et al. | — | 2018 | → |
| Live fast, die young? A review on the developmental trajectories of ADHD across the lifespan. | Franke B et al. | — | 2018 | → |
| Mapping Risk from Genes to Behavior: The Enduring and Evolving Influence of Irving Gottesman's Endophenotype Concept. | Dick DM | — | 2018 | → |
| Mediation analysis to understand genetic relationships between habitual coffee intake and gout. | Hutton J et al. | — | 2018 | → |
| Meta-Analysis of Genetic Influences on Initial Alcohol Sensitivity. | Edwards AC et al. | — | 2018 | → |
| Parsing the Potential Neuroendocrine Actions of FGF21 in Primates. | Gillum MP | — | 2018 | → |
| Patient Similarity Networks for Precision Medicine. | Pai S et al. | — | 2018 | → |
| Polygenic risk for alcohol consumption and its association with alcohol-related phenotypes: Do stress and life satisfaction moderate these relationships? | Mies GW et al. | — | 2018 | → |
| Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps. | Dick DM et al. | — | 2018 | → |
| Problematic alcohol use associates with sodium channel and clathrin linker 1 (SCLT1) in trauma-exposed populations. | Almli LM et al. | — | 2018 | → |
| The Utility of a Brief Web-Based Prevention Intervention as a Universal Approach for Risky Alcohol Use in College Students: Evidence of Moderation by Family History. | Neale ZE et al. | — | 2018 | → |
| Trajectories of alcohol consumption prior to the diagnosis of type 2 diabetes: a longitudinal case-cohort study. | Knott CS et al. | — | 2018 | → |
| Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. | Walters RK et al. | — | 2018 | → |
| Transcriptomic Characterization of the Human Habenula Highlights Drug Metabolism and the Neuroimmune System. | Le Foll B et al. | — | 2018 | → |
| Genetic Contribution to Alcohol Dependence: Investigation of a Heterogeneous German Sample of Individuals with Alcohol Dependence, Chronic Alcoholic Pancreatitis, and Alcohol-Related Cirrhosis. | Treutlein J et al. | — | 2017 | → |