Neurogenetic and multi-omic sources of overlap among sensation seeking, alcohol consumption, and alcohol use disorder.
paper
Primary
Public
- Authors
- Miller, Alex P; Gizer, Ian R
- Year
- 2024
- Journal
- Addiction biology
- PMID
- 38380706
- DOI
- 10.1111/adb.13365
- PMCID
- PMC10882188
Sensation seeking is bidirectionally associated with levels of alcohol consumption in both adult and adolescent samples, and shared neurobiological and genetic influences may in part explain these associations. Links between sensation seeking and alcohol use disorder (AUD) may primarily manifest via increased alcohol consumption rather than through direct effects on increasing problems and consequences. Here the overlap among sensation seeking, alcohol consumption, and AUD was examined using multivariate modelling approaches for genome-wide association study (GWAS) summary statistics in conjunction with neurobiologically informed analyses at multiple levels of investigation. Meta-analytic and genomic structural equation modelling (GenomicSEM) approaches were used to conduct GWAS of sensation seeking, alcohol consumption, and AUD. Resulting summary statistics were used in downstream analyses to examine shared brain tissue enrichment of heritability and genome-wide evidence of overlap (e.g., stratified GenomicSEM, RRHO, genetic correlations with neuroimaging phenotypes), and to identify genomic regions likely contributing to observed genetic overlap across traits (e.g., H-MAGMA and LAVA). Across approaches, results supported shared neurogenetic architecture between sensation seeking and alcohol consumption characterised by overlapping enrichment of genes expressed in midbrain and striatal tissues and variants associated with increased cortical surface area. Alcohol consumption and AUD evidenced overlap in relation to variants associated with decreased frontocortical thickness. Finally, genetic mediation models provided evidence of alcohol consumption mediating associations between sensation seeking and AUD. This study extends previous research by examining critical sources of neurogenetic and multi-omic overlap among sensation seeking, alcohol consumption, and AUD which may underlie observed phenotypic associations.
FIGURE 1
Examinations of shared and unique genetic architecture among sensation seeking, alcohol consumption, and AUD. (A) Path diagram of three‐factor model for sensation seeking, alcohol consumption, and AUD estimated in GenomicSEM. Presented parameters are standardised and SEs are shown in paratheses. Variances and covariances are shown as dashed lines, and factor loadings are shown as solid lines. See Table S4 for model fit indices. AV = adventurousness; RT = risk taking; SS = UPPS‐P sensation seeking; DPW = GSCAN drinks per week; GPD = UKB + AlcGen + CHARGE Plus grams of alcohol per day; AUDIT‐C = UKB + MVP AUDIT consumption score. (B) Path diagram of mediated path model between sensation seeking and AUD via alcohol consumption. Presented parameters are standardised and SEs are shown in paratheses. Grey coefficients are non‐significant (P = 0.324). Variances are shown as dashed lines, and regression paths are shown as solid lines. (C) Rank–rank hypergeometric tests of overlap (RRHO) between traits. Upper triangle: dlPFC neuronal (CN) H‐MAGMA‐based index of genetic overlap. Lower triangle: midbrain dopaminergic neuronal (DA) H‐MAGMA‐based index of genetic overlap. RRHO −log10 P‐values adjusted by the Benjamini and Yekutieli procedure (BY FDR). (D) Cortical patterning of unique genetic correlations between alcohol consumption and sensation seeking among regional cortical surface area neuroimaging phenotypes (top) and between alcohol consumption and AUD among regional cortical thickness neuroimaging phenotypes (bottom). Genetic correlation values are based on constrained models.
FIGURE 2
Multivariate genome‐wide association analysis of (A) sensation seeking, (B) alcohol consumption, and (C) AUD. Manhattan plot of –log10 (two‐sided) P‐value for GenomicSEM and METAL GWAS associations (main) and Q–Q plot of expected versus observed –log10 P‐values (upper right corners). Solid red line of Manhattan plots denotes genome‐wide significant (GWS) threshold (P < 5 × 10−8), and dashed grey line denotes P < 1 × 10−5. Mapped genes for top 10 associations are labelled. Green diamonds represent lead SNPs from independent GWS genomic loci. Orange diamonds (for sensation seeking; A) represent lead SNPs from novel GWS genomic loci green not previously reported in GWAS catalogue, Karlsson Linnér et al., 2021, or Sanchez‐Roige et al., 2023.
No entities extracted from this document yet.
No uploaded files.
Not in any collection.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| Ashenhurst JR , Harden KP , Corbin WR , Fromme K . Trajectories of binge drinking and personality change across emerging adulthood. Psychol Addict Behav. 2015;29(4):978‐991. doi:10.1037/adb0000116 26348219 PMC4701625 | — | — | — |
| Benjamini Y , Yekutieli D . The control of the false discovery rate in multiple testing under dependency. Ann Stat. 2001;29(4):1165‐1188. doi:10.1214/aos/1013699998 | — | — | — |
| Buniello A , MacArthur JAL , Cerezo M , et al. The NHGRI‐EBI GWAS catalog of published genome‐wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 2019;47(D1):D1005‐D1012. doi:10.1093/nar/gky1120 30445434 PMC6323933 | — | — | — |
| Corbin WR , Papova A , Morean ME , et al. Integrating acquired preparedness and dual process models of risk for heavy drinking and related problems. Psychol Addict Behav. 2015;29(4):864‐874. doi:10.1037/adb0000093 26348221 PMC6223629 | — | — | — |
| Cservenka A , Herting MM , Seghete KLM , Hudson KA , Nagel BJ . High and low sensation seeking adolescents show distinct patterns of brain activity during reward processing. Neuroimage. 2013;66:184‐193. doi:10.1016/j.neuroimage.2012.11.003 23142276 PMC3604176 | — | — | — |
| Dai X , Yu J , Gao L , et al. Cortical thickness and intrinsic activity changes in middle‐aged men with alcohol use disorder. Alcohol. 2023;106:15‐21. doi:10.1016/j.alcohol.2022.10.001 36272658 | — | — | — |
| de Leeuw CA , Mooij JM , Heskes T , Posthuma D . MAGMA: generalized gene‐set analysis of GWAS data. PLoS Comput Biol. 2015;11(4):e1004219. doi:10.1371/journal.pcbi.1004219 25885710 PMC4401657 | — | — | — |
| Demange PA , Malanchini M , Mallard TT , et al. Investigating the genetic architecture of noncognitive skills using GWAS‐by‐subtraction. Nat Genet. 2021;53(1):35‐44. doi:10.1038/s41588-020-00754-2 33414549 PMC7116735 | — | — | — |
| Demidenko MI , Huntley ED , Weigard AS , Keating DP , Beltz AM . Neural heterogeneity underlying late adolescent motivational processing is linked to individual differences in behavioral sensation seeking. J Neurosci Res. 2022;100(3):762‐779. doi:10.1002/jnr.25005 35043448 PMC8978150 | — | — | — |
| Doucet‐Beaupré H , Gilbert C , Profes MS , et al. Lmx1a and Lmx1b regulate mitochondrial functions and survival of adult midbrain dopaminergic neurons. Proc Natl Acad Sci U S A. 2016;113(30):E4387‐E4396. doi:10.1073/pnas.1520387113 27407143 PMC4968767 | — | — | — |
| Evangelou E , Gao H , Chu C , et al. New alcohol‐related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nat Hum Behav. 2019;3(9):950‐961. doi:10.1038/s41562-019-0653-z 31358974 PMC7711277 | — | — | — |
| Finucane HK , Reshef YA , Anttila V , et al. Heritability enrichment of specifically expressed genes identifies disease‐relevant tissues and cell types. Nat Genet. 2018;50(4):621‐629. doi:10.1038/s41588-018-0081-4 29632380 PMC5896795 | — | — | — |
| Grasby KL , Jahanshad N , Painter JN , et al. The genetic architecture of the human cerebral cortex. Science. 2020;367(6484):eaay6690. doi:10.1126/science.aay6690 32193296 PMC7295264 | — | — | — |
| Grotzinger AD , de la Fuente J , Davies G , Nivard MG , Tucker‐Drob EM . Transcriptome‐wide and stratified genomic structural equation modeling identify neurobiological pathways shared across diverse cognitive traits. Nat Commun. 2022;13(1):6280. doi:10.1038/s41467-022-33724-9 36271044 PMC9586980 | — | — | — |
| Grotzinger AD , Mallard TT , Akingbuwa WA , et al. Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis. Nat Genet. 2022;54(5):548‐559. doi:10.1038/s41588-022-01057-4 35513722 PMC9117465 | — | — | — |
| Grotzinger AD , Rhemtulla M , de Vlaming R , et al. Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits. Nat Hum Behav. 2019;3(5):513‐525. doi:10.1038/s41562-019-0566-x 30962613 PMC6520146 | — | — | — |
| Hatoum AS , Colbert SMC , Johnson EC , et al. Multivariate genome‐wide association meta‐analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nat Ment Health. 2023;1(3):210‐223. doi:10.1038/s44220-023-00034-y 37250466 PMC10217792 | — | — | — |
| Hatoum AS , Johnson EC , Agrawal A , Bogdan R . Brain structure and problematic alcohol use: a test of plausible causation using latent causal variable analysis. Brain Imaging Behav. 2021;15(6):2741‐2745. doi:10.1007/s11682-021-00482-z 34287779 PMC8766883 | — | — | — |
| Hermann ER , Chambers E , Davis DN , Montgomery MR , Lin D , Chowanadisai W . Brain magnetic resonance imaging phenome‐wide association study with metal transporter gene SLC39A8. Front Genet. 2021;12:647946. doi:10.3389/fgene.2021.647946 33790950 PMC8005600 | — | — | — |
| Holmes AJ , Hollinshead MO , Roffman JL , Smoller JW , Buckner RL . Individual differences in cognitive control circuit anatomy link sensation seeking, impulsivity, and substance use. J Neurosci. 2016;36(14):4038‐4049. doi:10.1523/JNEUROSCI.3206-15.2016 27053210 PMC4821913 | — | — | — |
| Hujoel MLA , Gazal S , Hormozdiari F , van de Geijn B , Price AL . Disease heritability enrichment of regulatory elements is concentrated in elements with ancient sequence age and conserved function across species. Am J Hum Genet. 2019;104(4):611‐624. doi:10.1016/j.ajhg.2019.02.008 30905396 PMC6451699 | — | — | — |
| Johnson EC , Demontis D , Thorgeirsson TE , et al. A large‐scale genome‐wide association study meta‐analysis of cannabis use disorder. [published correction appears in Lancet Psychiatry. 2022 Apr;9(4):e12]. Lancet Psychiatry. 2020;7(12):1032‐1045. doi:10.1016/S2215-0366(20)30339-4 33096046 PMC7674631 | — | — | — |
| Karlsson Linnér R , Biroli P , Kong E , et al. Genome‐wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nat Genet. 2019;51(2):245‐257. doi:10.1038/s41588-018-0309-3 30643258 PMC6713272 | — | — | — |
| Koob GF , Volkow ND . Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry. 2016;3(8):760‐773. doi:10.1016/S2215-0366(16)00104-8 27475769 PMC6135092 | — | — | — |
| Kranzler HR , Zhou H , Kember RL , et al. Genome‐wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nat Commun. 2019;10(1):1499. doi:10.1038/s41467-019-09480-8 30940813 PMC6445072 | — | — | — |
| Kundaje A , Meuleman W , Ernst J , et al. Integrative analysis of 111 reference human epigenomes. Nature. 2015;518(7539):317‐330. doi:10.1038/nature14248 25693563 PMC4530010 | — | — | — |
| Kurki MI , Karjalainen J , Palta P , et al. FinnGen provides genetic insights from a well‐phenotyped isolated population. Nature. 2023;613(7944):508‐518. doi:10.1038/s41586-022-05473-8 36653562 PMC9849126 | — | — | — |
| Linnér RK , Mallard TT , Barr PB , et al. Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self‐regulation and addiction. Nat Neurosci. 2021;24(10):1367‐1376. doi:10.1038/s41593-021-00908-3 34446935 PMC8484054 | — | — | — |
| Liu M , Jiang Y , Wedow R , et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nat Genet. 2019;51(2):237‐244. doi:10.1038/s41588-018-0307-5 30643251 PMC6358542 | — | — | — |
| Mallard TT , Linnér RK , Grotzinger AD , et al. Multivariate GWAS of psychiatric disorders and their cardinal symptoms reveal two dimensions of cross‐cutting genetic liabilities. Cell Genomics. 2022;2(6):100140. doi:10.1016/j.xgen.2022.100140 35812988 PMC9264403 | — | — | — |
| Mallard TT , Savage JE , Johnson EC , et al. Item‐level genome‐wide association study of the alcohol use disorders identification test in three population‐based cohorts. Am J Psychiatry. 2022;179(1):58‐70. doi:10.1176/appi.ajp.2020.20091390 33985350 PMC9272895 | — | — | — |
| McCabe CJ , Wall TL , Gonzalez MR , et al. Associations of developmental imbalance between sensation seeking and premeditation in adolescence and heavy episodic drinking in emerging adulthood. Alcohol Clin Exp Res. 2021;45(6):1249‐1264. doi:10.1111/acer.14604 33991389 PMC8254779 | — | — | — |
| Miller AP , Gizer IR . Dual‐systems models of the genetic architecture of impulsive personality traits: neurogenetic evidence of distinct but related factors. Psychol Med. 2023; 1‐11. doi:10.1017/S0033291723003367 PMC1113295038016992 | — | — | — |
| Mills MC , Rahal C . A scientometric review of genome‐wide association studies. Commun Biol. 2019;2(1):9. doi:10.1038/s42003-018-0261-x 30623105 PMC6323052 | — | — | — |
| Morales AM , Boyd SJ , Mackiewicz Seghete KL , Johnson AJ , De Bellis MD , Nagel BJ . Sex differences in the effect of nucleus accumbens volume on adolescent drinking: the mediating role of sensation seeking in the NCANDA sample. J Stud Alcohol Drugs. 2019;80(6):594‐601. doi:10.15288/jsad.2019.80.594 31790349 PMC6900990 | — | — | — |
| Morris VL , Owens MM , Syan SK , et al. Associations between drinking and cortical thickness in younger adult drinkers: findings from the human connectome project. Alcohol Clin Exp Res. 2019;43(9):1918‐1927. doi:10.1111/acer.14147 31365137 PMC6721970 | — | — | — |
| Moulton EA , Elman I , Becerra LR , Goldstein RZ , Borsook D . The cerebellum and addiction: insights gained from neuroimaging research. Addict Biol. 2014;19(3):317‐331. doi:10.1111/adb.12101 24851284 PMC4031616 | — | — | — |
| Owens MM , Hyatt C , Xu H , et al. Test‐retest reliability of the neuroanatomical correlates of impulsive personality traits in the adolescent brain cognitive development study. J Psychopathol Clin Sci. 2023;132(6):779‐792. doi:10.1037/abn0000832 37307315 | — | — | — |
| Owens MM , Hyatt CS , Gray JC , et al. Neuroanatomical correlates of impulsive traits in children aged 9 to 10. J Abnorm Psychol. 2020;129(8):831‐844. doi:10.1037/abn0000627 32897083 PMC7606639 | — | — | — |
| Pehlivanova M , Wolf DH , Sotiras A , et al. Diminished cortical thickness is associated with impulsive choice in adolescence. J Neurosci. 2018;38(10):2471‐2481. doi:10.1523/JNEUROSCI.2200-17.2018 29440536 PMC5858592 | — | — | — |
| Piazza R , Magistroni V , Redaelli S , et al. SETBP1 induces transcription of a network of development genes by acting as an epigenetic hub. Nat Commun. 2018;9(1):2192. doi:10.1038/s41467-018-04462-8 29875417 PMC5989213 | — | — | — |
| Plaisier SB , Taschereau R , Wong JA , Graeber TG . Rank‐rank hypergeometric overlap: identification of statistically significant overlap between gene‐expression signatures. Nucleic Acids Res. 2010;38(17):e169. doi:10.1093/nar/gkq636 20660011 PMC2943622 | — | — | — |
| Quinn PD , Harden KP . Differential changes in impulsivity and sensation seeking and the escalation of substance use from adolescence to early adulthood. Dev Psychopathol. 2013;25(1):223‐239. doi:10.1017/S0954579412000284 22824055 PMC3967723 | — | — | — |
| Quinn PD , Stappenbeck CA , Fromme K . Collegiate heavy drinking prospectively predicts change in sensation seeking and impulsivity. J Abnorm Psychol. 2011;120(3):543‐556. doi:10.1037/a0023159 21443288 PMC3128198 | — | — | — |
| Rabinowitz JA , Campos AI , Ong JS , et al. Shared genetic etiology between cortical brain morphology and tobacco, alcohol, and cannabis use. Cereb Cortex. 2022;32(4):796‐807. doi:10.1093/cercor/bhab243 34379727 PMC8841600 | — | — | — |
| Rosenblatt J , Stein J . RRHO: Test overlap using the Rank‐Rank Hypergeometric test. R package version 1.38.0. 2014. doi:10.18129/B9.bioc.RRHO | — | — | — |
| Ruan H , Zhou Y , Luo Q , et al. Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation. NeuroImage Clin. 2019;22:101804. doi:10.1016/j.nicl.2019.101804 30991616 PMC6451196 | — | — | — |
| Sanchez‐Roige S , Cox NJ , Johnson EO , Hancock DB , Davis LK . Alcohol and cigarette smoking consumption as genetic proxies for alcohol misuse and nicotine dependence. Drug Alcohol Depend. 2021;221:108612. doi:10.1016/j.drugalcdep.2021.108612 33631543 PMC8026738 | — | — | — |
| Sanchez‐Roige S , Fontanillas P , Elson SL , et al. 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 CACNA1I and CADM2 genes. J Neurosci. 2019;39(13):2562‐2572. doi:10.1523/JNEUROSCI.2662-18.2019 30718321 PMC6435820 | — | — | — |
| Sanchez‐Roige S , Jennings MV , Thorpe HHA , et al. CADM2 is implicated in impulsive personality and numerous other traits by genome‐ and phenome‐wide association studies in humans and mice. Transl Psychiatry. 2023;13(1):167. doi:10.1038/s41398-023-02453-y 37173343 PMC10182097 | — | — | — |
| Sanchez‐Roige S , Palmer AA , Fontanillas P , et al. Genome‐wide association study meta‐analysis of the alcohol use disorders identification test (AUDIT) in two population‐based cohorts. Am J Psychiatry. 2019;176(2):107‐118. doi:10.1176/appi.ajp.2018.18040369 30336701 PMC6365681 | — | — | — |
| Satizabal CL , Adams HHH , Hibar DP , et al. Genetic architecture of subcortical brain structures in 38,851 individuals. Nat Genet. 2019;51(11):1624‐1636. doi:10.1038/s41588-019-0511-y 31636452 PMC7055269 | — | — | — |
| Saunders GRB , Wang X , Chen F , et al. Genetic diversity fuels gene discovery for tobacco and alcohol use. Nature. 2022;612(7941):720‐724. doi:10.1038/s41586-022-05477-4 36477530 PMC9771818 | — | — | — |
| Sey NYA , Hu B , Iskhakova M , et al. Chromatin architecture in addiction circuitry identifies risk genes and potential biological mechanisms underlying cigarette smoking and alcohol use traits. Mol Psychiatry. 2022;27(7):3085‐3094. doi:10.1038/s41380-022-01558-y 35422469 PMC9853312 | — | — | — |
| Sey NYA , Hu B , Mah W , et al. A computational tool (H‐MAGMA) for improved prediction of brain‐disorder risk genes by incorporating brain chromatin interaction profiles. Nat Neurosci. 2020;23(4):583‐593. doi:10.1038/s41593-020-0603-0 32152537 PMC7131892 | — | — | — |
| Shadrin AA , Kaufmann T , van der Meer D , et al. Vertex‐wise multivariate genome‐wide association study identifies 780 unique genetic loci associated with cortical morphology. Neuroimage. 2021;244:118603. doi:10.1016/j.neuroimage.2021.118603 34560273 PMC8785963 | — | — | — |
| Shulman EP , Smith AR , Silva K , et al. The dual systems model: review, reappraisal, and reaffirmation. Dev Cogn Neurosci. 2016;17:103‐117. doi:10.1016/j.dcn.2015.12.010 26774291 PMC6990093 | — | — | — |
| Smith SM , Douaud G , Chen W , et al. An expanded set of genome‐wide association studies of brain imaging phenotypes in UK biobank. Nat Neurosci. 2021;24(5):737‐745. doi:10.1038/s41593-021-00826-4 33875891 PMC7610742 | — | — | — |
| Sobel ME . Asymptotic confidence intervals for indirect effects in structural equation models. Sociol Methodol. 1982;13:290‐312. doi:10.2307/270723 | — | — | — |
| Stamates AL , Lau‐Barraco C . The dimensionality of impulsivity: perspectives and implications for emerging adult drinking. Exp Clin Psychopharmacol. 2017;25(6):521‐533. doi:10.1037/pha0000153 29251982 | — | — | — |
| Stautz K , Cooper A . Impulsivity‐related personality traits and adolescent alcohol use: a meta‐analytic review. Clin Psychol Rev. 2013;33(4):574‐592. doi:10.1016/j.cpr.2013.03.003 23563081 | — | — | — |
| The 1000 Genomes Project Consortium . A global reference for human genetic variation. Nature. 2015;526(7571):68‐74. doi:10.1038/nature15393 26432245 PMC4750478 | — | — | — |
| The GTEx Consortium . The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science. 2020;369(6509):1318‐1330. doi:10.1126/science.aaz1776 32913098 PMC7737656 | — | — | — |
| Thomas Yeo BT , Krienen FM , Sepulcre J , et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106(3):1125‐1165. doi:10.1152/jn.00338.2011 21653723 PMC3174820 | — | — | — |
| Thompson A , Cook J , Choquet H , et al. Functional validity, role, and implications of heavy alcohol consumption genetic loci. Sci Adv. 2020;6(3):eaay5034. doi:10.1126/sciadv.aay5034 31998841 PMC6962045 | — | — | — |
| van der Meer D , Kaufmann T , Shadrin AA , et al. The genetic architecture of human cortical folding. Sci Adv. 2021;7(51):eabj9446. doi:10.1126/sciadv.abj9446 34910505 PMC8673767 | — | — | — |
| Voon V , Grodin E , Mandali A , et al. Addictions neuroImaging assessment (ANIA): towards an integrative framework for alcohol use disorder. Neurosci Biobehav Rev. 2020;113(April):492‐506. doi:10.1016/j.neubiorev.2020.04.004 32298710 | — | — | — |
| Walters RK , Polimanti R , Johnson EC , et al. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci. 2018;21(12):1656‐1669. doi:10.1038/s41593-018-0275-1 30482948 PMC6430207 | — | — | — |
| Wang C , Martins‐Bach AB , Alfaro‐Almagro F , et al. Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging. Nat Neurosci. 2022;25(6):818‐831. doi:10.1038/s41593-022-01074-w 35606419 PMC9174052 | — | — | — |
| Watanabe K , Taskesen E , Van Bochoven A , Posthuma D . Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 2017;8(1):1826. doi:10.1038/s41467-017-01261-5 29184056 PMC5705698 | — | — | — |
| Weiland BJ , Welsh RC , Yau WYW , Zucker RA , Zubieta JK , Heitzeg MM . Accumbens functional connectivity during reward mediates sensation‐seeking and alcohol use in high‐risk youth. Drug Alcohol Depend. 2013;128(1–2):130‐139. doi:10.1016/j.drugalcdep.2012.08.019 22958950 PMC3546225 | — | — | — |
| Werme J , van der Sluis S , Posthuma D , de Leeuw CA . An integrated framework for local genetic correlation analysis. Nat Genet. 2022;54(3):274‐282. doi:10.1038/s41588-022-01017-y 35288712 | — | — | — |
| Willer CJ , Li Y , Abecasis GR . METAL: fast and efficient meta‐analysis of genomewide association scans. Bioinformatics. 2010;26(17):2190‐2191. doi:10.1093/bioinformatics/btq340 20616382 PMC2922887 | — | — | — |
| Zhao B , Li T , Smith SM , et al. Common variants contribute to intrinsic human brain functional networks. Nat Genet. 2022;54(4):508‐517. doi:10.1038/s41588-022-01039-6 35393594 PMC11987081 | — | — | — |
| Zhou H , Sealock JM , Sanchez‐Roige S , et al. Genome‐wide meta‐analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits. Nat Neurosci. 2020;23(7):809‐818. doi:10.1038/s41593-020-0643-5 32451486 PMC7485556 | — | — | — |
| Zuckerman M . Behavioral Expressions and Biosocial Bases of Sensation Seeking. Cambridge University Press; 1994. | — | — | — |
No papers in this knowledge base cite this source.
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Binge drinking trajectories across adolescence and early adulthood: Associations with genetic influences for dual-systems impulsive personality traits, alcohol consumption, and alcohol use disorder. | Miller AP et al. | — | 2025 | → |
| Genetic influences for distinct impulsivity domains are differentially associated with early substance use initiation: Results from the ABCD Study. | Kinstler E et al. | — | 2025 | → |
| Genetic risk for alcohol use disorder in relation to individual symptom criteria: Do polygenic indices provide unique information for understanding severity and heterogeneity? | Sarles YM et al. | — | 2025 | → |
| Genomic structural equation modeling of reward-related traits: exploring the genetic factor structure and its relationship with psychopathology. | Cardoso Melo D et al. | — | 2025 | → |
| Impulsivity facets and substance use involvement: insights from genomic structural equation modeling. | Vilar-Ribó L et al. | — | 2025 | → |
| Mapping affective pathways to compulsion: Insights from an aversive devaluation approach. | Sallie SN et al. | — | 2025 | → |
| Multi-Locus Pro-Dopaminergic Restoration of Reward Brain Circuitry in Reward Deficiency Rescinds Mono-Pharmaceutical Targeting. | Blum K et al. | — | 2025 | → |
| Binge drinking trajectories across adolescence and early adulthood: Associations with genetic influences for dual-systems impulsive personality traits, alcohol consumption, and alcohol use disorder | Miller AP et al. | — | 2024 | — |
| Dual-systems models of the genetic architecture of impulsive personality traits: neurogenetic evidence of distinct but related factors. | Miller AP et al. | — | 2024 | → |
| Neuroanatomical Variability and Substance Use Initiation in Late Childhood and Early Adolescence. | Miller AP et al. | — | 2024 | → |
| Neurogenetic and multi-omic sources of overlap among sensation seeking, alcohol consumption, and alcohol use disorder. | Miller AP et al. | — | 2024 | → |