Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2019 Sep;3(9):950-961.
doi: 10.1038/s41562-019-0653-z. Epub 2019 Jul 29.

New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders

Evangelos Evangelou #  1   2 He Gao #  1   3 Congying Chu #  4 Georgios Ntritsos #  2 Paul Blakeley  1   5 Andrew R Butts  6 Raha Pazoki  1 Hideaki Suzuki  7   8 Fotios Koskeridis  2 Andrianos M Yiorkas  9   10 Ibrahim Karaman  1   11 Joshua Elliott  1 Qiang Luo  12   13 Stefanie Aeschbacher  14 Traci M Bartz  15   16 Sebastian E Baumeister  17   18 Peter S Braund  19   20 Michael R Brown  21 Jennifer A Brody  15 Toni-Kim Clarke  22 Niki Dimou  2 Jessica D Faul  23 Georg Homuth  24 Anne U Jackson  25 Katherine A Kentistou  26   27 Peter K Joshi  26 Rozenn N Lemaitre  15 Penelope A Lind  28 Leo-Pekka Lyytikäinen  29   30   31 Massimo Mangino  32   33 Yuri Milaneschi  34 Christopher P Nelson  19   20 Ilja M Nolte  35 Mia-Maria Perälä  36   37 Ozren Polasek  38 David Porteous  39   40 Scott M Ratliff  41 Jennifer A Smith  23   41 Alena Stančáková  42 Alexander Teumer  17   43 Samuli Tuominen  44 Sébastien Thériault  45   46 Jagadish Vangipurapu  42 John B Whitfield  47 Alexis Wood  48 Jie Yao  49 Bing Yu  21 Wei Zhao  41 Dan E Arking  50 Juha Auvinen  51   52 Chunyu Liu  53 Minna Männikkö  54 Lorenz Risch  55   56   57 Jerome I Rotter  58 Harold Snieder  35 Juha Veijola  59   60   61 Alexandra I Blakemore  9   10 Michael Boehnke  25 Harry Campbell  26 David Conen  45 Johan G Eriksson  62   63   64 Hans J Grabe  65   66 Xiuqing Guo  49 Pim van der Harst  67   68   69 Catharina A Hartman  70 Caroline Hayward  71 Andrew C Heath  72 Marjo-Riitta Jarvelin  73   51   74   75   76 Mika Kähönen  77   78 Sharon L R Kardia  41 Michael Kühne  14 Johanna Kuusisto  79 Markku Laakso  79 Jari Lahti  44 Terho Lehtimäki  29   30 Andrew M McIntosh  22   40 Karen L Mohlke  80 Alanna C Morrison  21 Nicholas G Martin  47 Albertine J Oldehinkel  70 Brenda W J H Penninx  34 Bruce M Psaty  81   82 Olli T Raitakari  83   84   85 Igor Rudan  26 Nilesh J Samani  19   20 Laura J Scott  25 Tim D Spector  32 Niek Verweij  67 David R Weir  23 James F Wilson  26   71 Daniel Levy  86   87 Ioanna Tzoulaki  1   3 Jimmy D Bell #  88 Paul M Matthews #  7   11 Adrian Rothenfluh #  6   89 Sylvane Desrivières #  4 Gunter Schumann #  90   91 Paul Elliott #  92   93   94   95   96
Affiliations
Meta-Analysis

New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders

Evangelos Evangelou et al. Nat Hum Behav. 2019 Sep.

Abstract

Excessive alcohol consumption is one of the main causes of death and disability worldwide. Alcohol consumption is a heritable complex trait. Here we conducted a meta-analysis of genome-wide association studies of alcohol consumption (g d-1) from the UK Biobank, the Alcohol Genome-Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia, collecting data from 480,842 people of European descent to decipher the genetic architecture of alcohol intake. We identified 46 new common loci and investigated their potential functional importance using magnetic resonance imaging data and gene expression studies. We identify genetic pathways associated with alcohol consumption and suggest genetic mechanisms that are shared with neuropsychiatric disorders such as schizophrenia.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.. Manhattan plot showing P-values from discovery genome-wide association meta-analysis with alcohol intake (log g/d) among 480,842 individuals across UK Biobank, AlcGen and CHARGE+, excluding known variants.
The P-value was computed using inverse variance fixed effects models. The y axis shows the –log10 P values and the x axis shows their chromosomal positions. Horizontal blue line represents the threshold of P = 5 × 10−9.
Figure 2.
Figure 2.. Association of alcohol intake loci with other traits.
Plot shows results from associations with other traits which were extracted from the PhenoScanner database for the 46 novel sentinel SNPs including proxies in Linkage Disequilibrium (r2 ≥ 0.8) with genome-wide significant associations. Each colored line connects a specific variant with the associated traits and diseases.
Figure 3.
Figure 3.. Mediation effect of the grey matter volume of bilateral putamen on the relationship between SNP rs13107325 and alcohol intake.
The green is for left putamen, and, the red is for the right one. We use ‘a’ for the relationship between rs13107325 and putamen, ‘b’ for the relationship between putamen and alcohol consumption, ‘c’ for the relationship between rs13107325 and alcohol consumption, ‘c” for the relationship between rs13107325 and alcohol consumption after excluding the effect of putamen, and ‘ab’ as the mediation effect. The significance tests are based on the bootstrapping method (10,000 times). Z- statistics and the corresponding P values are provided in parentheses. The brain icon was created using Mango software, version 4.1 (http://ric.uthscsa.edu/mango/).
Figure 4.
Figure 4.. Comparison of Zip8 alcohol phenotypes in Drosophila.
Flies were exposed to 100/50 Ethanol/Air vapor for 30 min for exposure 1, and the time to 50% loss of righting was determined (ST-50, sedation time). After recovery on food for 4 hours, flies were re-exposed to the same vapors, and the second ST-50 recorded (left side). The resulting increase in ST-50, i.e. tolerance, is shown on the right. In a) overexpressed human hZIP8 in ics-expressing cells flies are compared against controls whereas in b) knockdown of the fly ortholog dZip71B is compared against controls. In c) flies carrying two transposon insertions in the endogenous dZip71B gene are compared against controls. Significance levels: ***P <0.001, **P <0.01, *P <0.05. Exact P-values are presented in the text.

References

    1. GBD 2016 Alcohol Collaborators. Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 5, 987–1012 (2018). - PMC - PubMed
    1. World Health Organization. Global status report on alcohol and health 2018. Eds: Poznyak V and Rekve D, https://www.who.int/substance_abuse/publications/global_alcohol_report/g... (2018).
    1. Wood AM et al. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. Lancet 391, 1513–1523 (2018). - PMC - PubMed
    1. Verhulst B, Neale MC & Kendler KS The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychol Med 45, 1061–72 (2015). - PMC - PubMed
    1. Schumann G 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 U S A 113, 14372–14377 (2016). - PMC - PubMed

Publication types

MeSH terms