journal article Open Access Jul 25, 2017

Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112 117)

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References
71
[1]
World Health Organisation. Global status report on alcohol and health 2014. 2014.
[2]
Shield KD, Parry C, Rehm J . Chronic diseases and conditions related to alcohol use. Alcohol Res 2013; 35: 155–173.
[3]
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. 10.1017/s0033291714002165
[4]
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. 10.1002/ajmg.b.32379
[5]
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. 10.1016/j.biopsych.2013.08.027
[6]
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. 10.1016/0091-3057(83)90163-6
[7]
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. 10.1016/0140-6736(93)90620-v
[8]
Higuchi S . Polymorphisms of ethanol metabolizing enzyme genes and alcoholism. Alcohol Alcohol Suppl 1994; 2: 29–34.
[9]
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. 10.1093/hmg/ddn372
[10]
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. 10.1007/s00439-011-1116-4
[11]
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. 10.1038/mp.2011.124
[12]
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. 10.1038/mp.2013.145
[13]
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. 10.1093/hmg/ddm295
[14]
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. 10.1073/pnas.1017288108
[15]
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. 10.1073/pnas.1611243113
[16]
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. 10.1001/archpsyc.64.5.566
[17]
Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders

Jürgen Rehm, Colin Mathers, Svetlana Popova et al.

The Lancet 2009 10.1016/s0140-6736(09)60746-7
[18]
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. 10.15288/jsad.2012.73.185
[19]
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. 10.15288/jsad.2013.74.664
[20]
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. 10.1001/archpsyc.1993.01820210024003
[21]
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. 10.1038/mp.2016.93
[22]
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. 10.1111/add.12491
[23]
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

Cathie Sudlow, John Gallacher, Naomi Allen et al.

PLoS Medicine 2015 10.1371/journal.pmed.1001779
[24]
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. 10.1093/ije/dys084
[25]
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. 10.1186/1471-2350-7-74
[26]
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. 10.1186/s13073-017-0414-4
[27]
Delaneau O, Howie B, Cox AJ, Zagury JF, Marchini J . Haplotype estimation using sequencing reads. Am J Hum Genet 2013; 93: 687–696. 10.1016/j.ajhg.2013.09.002
[28]
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. 10.1038/ncomms9111
[29]
PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

Shaun Purcell, Benjamin Neale, Kathe Todd-Brown et al.

The American Journal of Human Genetics 2007 10.1086/519795
[30]
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. 10.1038/ng.2213
[31]
GCTA: A Tool for Genome-wide Complex Trait Analysis

Jian Yang, S. Hong Lee, Michael E. Goddard et al.

The American Journal of Human Genetics 2011 10.1016/j.ajhg.2010.11.011
[32]
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. 10.1007/978-1-62703-447-0_9
[33]
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. 10.1371/journal.pgen.1003520
[34]
An atlas of genetic correlations across human diseases and traits

Brendan Bulik-Sullivan, Hilary K Finucane, Verneri Anttila et al.

Nature Genetics 2015 10.1038/ng.3406
[35]
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

Brendan K Bulik-Sullivan, Po-Ru Loh, Hilary K Finucane et al.

Nature Genetics 2015 10.1038/ng.3211
[36]
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. 10.1093/bioinformatics/btw613
[37]
PRSice: Polygenic Risk Score software

Jack Euesden, Cathryn M. Lewis, Paul F. O’Reilly

Bioinformatics 2015 10.1093/bioinformatics/btu848
[38]
Nakawaga S, Schielzeth H . A general and simple method for obtaining R2 from generalized linear mixed-effect models. Methods Ecol Evol 2013; 4: 9. 10.1111/j.2041-210x.2012.00250.x
[39]
MAGMA: Generalized Gene-Set Analysis of GWAS Data

Christiaan A. de Leeuw, Joris M. Mooij, Tom Heskes et al.

PLOS Computational Biology 2015 10.1371/journal.pcbi.1004219
[40]
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. 10.1111/ahg.12046
[41]
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. 10.3389/fnins.2014.00129
[42]
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. 10.1111/j.1530-0277.2012.01845.x
[43]
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. 10.1038/ng.3685
[44]
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. 10.1176/appi.ajp.2014.14030382
[45]
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. 10.1111/adb.12244
[46]
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. 10.1097/mol.0000000000000155
[47]
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. 10.1038/mp.2016.45
[48]
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. 10.1038/mp.2015.37
[49]
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. 10.1038/ng.3551
[50]
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. 10.1038/tp.2016.36

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Published
Jul 25, 2017
Vol/Issue
22(10)
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1376-1384
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T-K Clarke, M J Adams, G Davies, et al. (2017). Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112 117). Molecular Psychiatry, 22(10), 1376-1384. https://doi.org/10.1038/mp.2017.153