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Meta-Analysis
. 2016 Dec 13;113(50):14372-14377.
doi: 10.1073/pnas.1611243113. Epub 2016 Nov 28.

KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Gunter Schumann  1 Chunyu Liu  2   3   4 Paul O'Reilly  5 He Gao  6   7 Parkyong Song  8   9 Bing Xu  5 Barbara Ruggeri  5 Najaf Amin  10 Tianye Jia  5 Sarah Preis  4 Marcelo Segura Lepe  6   11 Shizuo Akira  12 Caterina Barbieri  13 Sebastian Baumeister  14   15 Stephane Cauchi  16 Toni-Kim Clarke  17 Stefan Enroth  18 Krista Fischer  19 Jenni Hällfors  20 Sarah E Harris  21   22 Saskia Hieber  23 Edith Hofer  24   25 Jouke-Jan Hottenga  26 Åsa Johansson  18 Peter K Joshi  27 Niina Kaartinen  28 Jaana Laitinen  29 Rozenn Lemaitre  30 Anu Loukola  20   31 Jian'an Luan  32 Leo-Pekka Lyytikäinen  33 Massimo Mangino  34   35 Ani Manichaikul  36   37 Hamdi Mbarek  26 Yuri Milaneschi  38 Alireza Moayyeri  6   39   40 Kenneth Mukamal  41 Christopher Nelson  42   43 Jennifer Nettleton  44 Eemil Partinen  45 Rajesh Rawal  46 Antonietta Robino  47 Lynda Rose  48 Cinzia Sala  13 Takashi Satoh  12 Reinhold Schmidt  24 Katharina Schraut  27 Robert Scott  49 Albert Vernon Smith  50 John M Starr  21   51 Alexander Teumer  14   52 Stella Trompet  53   54 André G Uitterlinden  55   56 Cristina Venturini  34 Anne-Claire Vergnaud  6 Niek Verweij  57 Veronique Vitart  58 Dragana Vuckovic  59 Juho Wedenoja  31 Loic Yengo  16 Bing Yu  60   61 Weihua Zhang  6   62 Jing Hua Zhao  49 Dorret I Boomsma  26 John Chambers  6   62   63 Daniel I Chasman  48   64 Toniolo Daniela  13 Eco de Geus  26 Ian Deary  21   65 Johan G Eriksson  28   66   67   68   69 Tõnu Esko  19 Volker Eulenburg  70 Oscar H Franco  56 Philippe Froguel  16   71 Christian Gieger  46 Hans J Grabe  72 Vilmundur Gudnason  50   73 Ulf Gyllensten  18 Tamara B Harris  74 Anna-Liisa Hartikainen  75   76   77 Andrew C Heath  78 Lynne Hocking  79 Albert Hofman  56 Cornelia Huth  80 Marjo-Riitta Jarvelin  6   77   81   82 J Wouter Jukema  53 Jaakko Kaprio  20   28   31 Jaspal S Kooner  62   63   83 Zoltan Kutalik  84 Jari Lahti  68   85   86 Claudia Langenberg  32 Terho Lehtimäki  33 Yongmei Liu  87 Pamela A F Madden  88 Nicholas Martin  89 Alanna Morrison  60 Brenda Penninx  38 Nicola Pirastu  27   59 Bruce Psaty  30   90   91   92 Olli Raitakari  93   94 Paul Ridker  48   64 Richard Rose  95 Jerome I Rotter  96 Nilesh J Samani  42   43 Helena Schmidt  97 Tim D Spector  34 David Stott  98 David Strachan  99 Ioanna Tzoulaki  6   7   100 Pim van der Harst  57   101   102 Cornelia M van Duijn  10 Pedro Marques-Vidal  103 Peter Vollenweider  103 Nicholas J Wareham  49 John B Whitfield  89 James Wilson  27   58 Bruce Wolffenbuttel  104 Georgy Bakalkin  105 Evangelos Evangelou  6   100 Yun Liu  106   107 Kenneth M Rice  108 Sylvane Desrivières  5 Steven A Kliewer  8   109 David J Mangelsdorf  110   9 Christian P Müller  23 Daniel Levy  2   3 Paul Elliott  111   7
Affiliations
Meta-Analysis

KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Gunter Schumann et al. Proc Natl Acad Sci U S A. .

Abstract

Excessive alcohol consumption is a major public health problem worldwide. Although drinking habits are known to be inherited, few genes have been identified that are robustly linked to alcohol drinking. We conducted a genome-wide association metaanalysis and replication study among >105,000 individuals of European ancestry and identified β-Klotho (KLB) as a locus associated with alcohol consumption (rs11940694; P = 9.2 × 10-12). β-Klotho is an obligate coreceptor for the hormone FGF21, which is secreted from the liver and implicated in macronutrient preference in humans. We show that brain-specific β-Klotho KO mice have an increased alcohol preference and that FGF21 inhibits alcohol drinking by acting on the brain. These data suggest that a liver-brain endocrine axis may play an important role in the regulation of alcohol drinking behavior and provide a unique pharmacologic target for reducing alcohol consumption.

Keywords: FGF21; alcohol consumption; human; mouse model; β-Klotho.

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Conflict of interest statement

B. Psaty serves on the Data and Safety Monitoring Board for a clinical trial funded by the manufacturer (Zoll LifeCor) and the Steering Committee of the Yale Open Data Access project funded by Johnson & Johnson. D.J.M. serves on the scientific advisory board of Metacrine. The other authors report no competing financial interests.

Figures

Fig. 1.
Fig. 1.
Genome-wide association results of log grams per day alcohol in the Alcohol Genome-Wide Association (AlcGen) and Cohorts for Heart and Aging Research in Genomic Epidemiology Plus (CHARGE+) Consortia. (A) Manhattan plot showing the significance of the association (−log10-transformed P value on the y axis) for each SNP at the chromosomal position shown on the x axis. The dotted line represents the genome-wide significance level at P = 5 × 10−8. The genes that were followed up are labeled. (B) Quantile–quantile plot comparing the expected P value on the x axis and the observed P value on the y axis (both were −log10 transformed).
Fig. S1.
Fig. S1.
Forest plot for the association of rs11940694 in KLB with log grams per day alcohol in the discovery GWAS and replication cohorts. (A) rs11940694 in KLB in discovery GWAS cohorts. Discovery GWAS cohorts: the Alcohol Genome-Wide Association (AlcGen) Consortium: the Cohorte Lausannoise study (COLAUS), the Estonian Biobank Cohort (EGCUT), the European Prospective Investigation of Cancer–Norfolk study (EPIC-NORFOLK), the Erasmus Rucphen Family study (ERF), the Fenland study (FENLAND), the Older Finnish Twin Cohort_2 (FinnTwinOld_2), the Helsinki Birth Cohort Study (HBCS), the population-based Cooperative Health Research in the Region of Augsburg F3 Study (KORAF3), the population-based Cooperative Health Research in the Region of Augsburg F4 Study (KORAF4), the LifeLines Cohort Study & Biobank (LIFELINES), the London Life Sciences Prospective Population Study (LOLIPOP_EW_A, LOLIPOP_EW_P, and LOLIPOP_EW610), the Older Finnish Twin Cohort_3 (FinnTwinOld_3), the Netherlands Study of Depression and Anxiety (NESDA), the Northern Finland Birth Cohort 1966 (NFBC1996), the Netherlands Twin Register cohort (NTR), the Australian twin-family study of alcohol use disorder (OZALC), the Study of Health in Pomerania (SHIP), the TwinsUK study (TWINSUK), and the Cardiovascular Risk in Young Finns Study (YFS); and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus (CHARGE+) Consortium: the Age, Gene/Environment Susceptibility–Reykjavik (AGES-Reykjavik) study, the Cardiovascular Health Study (CHS), the Framingham Heart Study (FHS), the Health, Aging, and Body Composition (HABC), the Multi-Ethnic Study of Atherosclerosis (MESA), the Rotterdam Study (RS1, RS2, and RS3), and the Women's Genome Health Study (WGHS). In rs11940694, the coded allele was A, and the noncoded allele was G. The allele frequency for A was ∼0.42 in the entire sample. The beta/SE estimates were for A allele. (B) rs11940694 in KLB in discovery and replication cohorts. The coded allele was A, and the noncoded allele was G. The beta/SE estimates were for A allele.
Fig. S2.
Fig. S2.
Genome-wide association results of dichotomous alcohol in the Alcohol Genome-Wide Association (AlcGen) and Cohorts for Heart and Aging Research in Genomic Epidemiolog Plus (CHARGE+) consortia. (A) Manhattan plot showing the significance of the association (−log10-transformed P value on the y axis) for each SNP at the chromosomal position shown on the x axis. The dotted line represents the genome-wide significance level at P = 5 × 10−8. The genes that were followed up are labeled. (B) Quantile–quantile plot comparing the expected P value on the x axis and the observed P value on the y axis (both were −log10 transformed).
Fig. S3.
Fig. S3.
Illustration of common SNPs (minor allele frequency > 0.01) and LD structure in the genomic regions around the KLB gene. The target SNP rs11940694 is highlighted with the black background and indicated by a red arrow in the LD structure plot. LD is measured by r2, and the darker the red color, the higher the r2 value.
Fig. 2.
Fig. 2.
FGF21 reduces alcohol preference in mice by acting on β-Klotho in brain. (A) Alcohol preference ratios determined by two-bottle preference assays with water and the indicated ethanol concentrations for control (Klbfl/fl) and brain-specific KlbCamk2a mice administered either FGF21 (0.7 mg/kg per day) or vehicle (n = 10 per group). (B) Plasma ethanol and (C) FGF21 concentrations at the end of the 16% (vol/vol) ethanol step of the two-bottle assay. For A–C, ***P < 0.001 for Klbfl/fl + vehicle vs. Klbfl/fl + FGF21 groups; ##P < 0.01 for Klbfl/fl + FGF21 vs. KlbCamk2a + FGF21 groups as determined by one-way ANOVA followed by Tukey's posttests; ###P < 0.001 for Klbfl/fl + FGF21 vs. KlbCamk2a + FGF21 groups as determined by one-way ANOVA followed by Tukey's posttests. (D) Plasma ethanol concentrations 1 and 3 h after i.p. injection of 2 g/kg alcohol (n = 4 per each group). (E) Consumption of 16% (vol/vol) ethanol (grams per kilogram per day) and (F) alcohol preference ratios in two-bottle preferences assays performed with control (Klbfl/fl) and brain-specific KlbCamk2a mice. Alcohol preference was measured by volume of ethanol/total volume of fluid consumed (n = 13 per group). (G) Plasma ethanol concentrations 1 and 3 h after i.p. injection of 2 g/kg alcohol (n = 5 per group). Values are means ± SEM. For E and F, *P < 0.05; **P < 0.01.
Fig. 3.
Fig. 3.
Behavior tests in brain-specific KlbCamk2a mice. Results from (A) novelty suppressed feeding, (B) elevated plus maze, and (C) open-field activity assays performed with control (Klbfl/fl) and brain-specific KlbCamk2a mice (n = 15 per each group). Values are the time (seconds) spent for each step of the assay.

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