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Lanng AR, Gasbjerg LS, Bergmann NC, Bergmann S, Helsted MM, Gillum MP, Hartmann B, Holst JJ, Vilsbøll T, Knop FK. Gluco-metabolic effects of oral and intravenous alcohol administration in men. Endocr Connect 2019; 8:1372-1382. [PMID: 31518994 PMCID: PMC6790903 DOI: 10.1530/ec-19-0317] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 09/13/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Ingestion of the calorically dense compound alcohol may cause metabolic disturbances including hypoglycaemia, hepatic steatosis and insulin resistance, but the underlying mechanisms are uncertain. The gastrointestinal tract is well recognised as a major influencer on glucose, protein and lipid metabolism, but its role in alcohol metabolism remains unclear. OBJECTIVE To examine the effects of oral and intravenous alcohol, respectively, on plasma concentrations of several gluco-regulatory hormones including serum/plasma insulin, C-peptide, glucagon, glucose-dependent insulinotropic polypeptide (GIP), glucagon-like peptide 1 (GLP-1) and fibroblast growth factor 21 (FGF21). DESIGN AND METHODS In a double-blinded, randomised, crossover design, we subjected 12 healthy men to intragastric ethanol infusion (IGEI) and an isoethanolaemic intravenous ethanol infusion (IVEI) (0.7 g alcohol per kg body weight), respectively, on two separate experimental days. RESULTS Isoethanolaemia during the two alcohol administration forms was obtained (P = 0.38). During both interventions, plasma glucose peaked after ~30 min and thereafter fell below baseline concentrations. GIP and GLP-1 concentrations were unaffected by the two interventions. Insulin concentrations were unaffected by IGEI but decreased during IVEI. C-peptide, insulin secretion rate and glucagon concentrations were lowered similarly during IGEI and IVEI. FGF21 concentrations increased dramatically (nine-fold) and similarly during IGEI and IVEI. CONCLUSIONS Alcohol does not seem to affect the secretion of incretin hormones but decreased insulin and glucagon secretion independently of gut-derived factors. IGEI as well as IVEI potently stimulate FGF21 secretion indicating a gut-independent effect of alcohol on FGF21 secretion in humans.
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Affiliation(s)
- Amalie R Lanng
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Lærke S Gasbjerg
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Natasha C Bergmann
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Sigrid Bergmann
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Mads M Helsted
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - Matthew P Gillum
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bolette Hartmann
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens J Holst
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tina Vilsbøll
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Filip K Knop
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Correspondence should be addressed to F K Knop:
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102
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Ji F, Liu Y, Hao JG, Wang LP, Dai MJ, Shen GF, Yan XB. KLB gene polymorphism is associated with obesity and non-alcoholic fatty liver disease in the Han Chinese. Aging (Albany NY) 2019; 11:7847-7858. [PMID: 31548436 PMCID: PMC6781984 DOI: 10.18632/aging.102293] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 09/14/2019] [Indexed: 12/12/2022]
Abstract
Klotho beta (KLB) mediates binding of fibroblast growth factor (FGF) 21 to the FGF receptor (FGFR). FGF21-KLB-FGFR signaling regulates multiple metabolic systems in the liver, and we hypothesized that FGF21, KLB and FGFR single-nucleotide polymorphisms (SNPs) are involved in hepatic lipid accumulation. The SNPs were detected in 1688 individuals divided into four groups: non-obese without non-alcoholic fatty liver disease (NAFLD), obese without NAFLD, non-obese with NAFLD, and obese with NAFLD. The A-allele of KLB SNP rs7670903 correlated with higher body mass index (P = 0.0005), and the A-allele frequency was higher in the obese than non-obese group (P = 0.003). The G-allele frequency of KLB rs7674434 and T-allele frequency of rs12152703 were higher in the obese with NAFLD than obese without NAFLD group (P = 0.004 and P = 0.006), but the genotype distribution between two non-obese groups did not differ. KLB rs7674434 and rs12152703 had associations with alanine aminotransferase (ALT) (P = 0.03 and P = 0.04, respectively) and gamma-glutamyltransferase (P = 0.03 and P = 0.02, respectively) levels in all subjects, but the associations were especially strong with ALT in the NAFLD group (P = 0.005 and P = 0.008, respectively). These findings suggest that KLB SNPs are related to obesity and hepatic inflammation and that they may be involved in the pathogenesis of NAFLD.
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Affiliation(s)
- Fang Ji
- Department of Infectious Diseases, Nanjing Medical University, Nanjing, Jiangsu, China.,Department of Infectious Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ye Liu
- Department of Infectious Disease, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jun-Gui Hao
- Department of Infectious Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Li-Ping Wang
- Department of Infectious Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ming-Jia Dai
- Department of Infectious Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Gui-Fang Shen
- Department of Physical Examination Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xue-Bing Yan
- Department of Infectious Diseases, Nanjing Medical University, Nanjing, Jiangsu, China.,Department of Infectious Disease, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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103
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Abstract
Members of the fibroblast growth factor (FGF) family play pleiotropic roles in cellular and metabolic homeostasis. During evolution, the ancestor FGF expands into multiple members by acquiring divergent structural elements that enable functional divergence and specification. Heparan sulfate-binding FGFs, which play critical roles in embryonic development and adult tissue remodeling homeostasis, adapt to an autocrine/paracrine mode of action to promote cell proliferation and population growth. By contrast, FGF19, 21, and 23 coevolve through losing binding affinity for extracellular matrix heparan sulfate while acquiring affinity for transmembrane α-Klotho (KL) or β-KL as a coreceptor, thereby adapting to an endocrine mode of action to drive interorgan crosstalk that regulates a broad spectrum of metabolic homeostasis. FGF19 metabolic axis from the ileum to liver negatively controls diurnal bile acid biosynthesis. FGF21 metabolic axes play multifaceted roles in controlling the homeostasis of lipid, glucose, and energy metabolism. FGF23 axes from the bone to kidney and parathyroid regulate metabolic homeostasis of phosphate, calcium, vitamin D, and parathyroid hormone that are important for bone health and systemic mineral balance. The significant divergence in structural elements and multiple functional specifications of FGF19, 21, and 23 in cellular and organismal metabolism instead of cell proliferation and growth sufficiently necessitate a new unified and specific term for these three endocrine FGFs. Thus, the term "FGF Metabolic Axis," which distinguishes the unique pathways and functions of endocrine FGFs from other autocrine/paracrine mitogenic FGFs, is coined.
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Affiliation(s)
- Xiaokun Li
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325035, China.
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104
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Gelernter J, Sun N, Polimanti R, Pietrzak RH, Levey DF, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Honerlaw J, Pyarajan S, Lencz T, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Kranzler HR, Concato J, Zhao H, Stein MB. Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci. Biol Psychiatry 2019; 86:365-376. [PMID: 31151762 PMCID: PMC6919570 DOI: 10.1016/j.biopsych.2019.03.984] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 03/16/2019] [Accepted: 03/18/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Habitual alcohol use can be an indicator of alcohol dependence, which is associated with a wide range of serious health problems. METHODS We completed a genome-wide association study in 126,936 European American and 17,029 African American subjects in the Veterans Affairs Million Veteran Program for a quantitative phenotype based on maximum habitual alcohol consumption. RESULTS ADH1B, on chromosome 4, was the lead locus for both populations: for the European American sample, rs1229984 (p = 4.9 × 10-47); for African American, rs2066702 (p = 2.3 × 10-12). In the European American sample, we identified three additional genome-wide-significant maximum habitual alcohol consumption loci: on chromosome 17, rs77804065 (p = 1.5 × 10-12), at CRHR1 (corticotropin-releasing hormone receptor 1); the protein product of this gene is involved in stress and immune responses; and on chromosomes 8 and 10. European American and African American samples were then meta-analyzed; the associated region at CRHR1 increased in significance to 1.02 × 10-13, and we identified two additional genome-wide significant loci, FGF14 (p = 9.86 × 10-9) (chromosome 13) and a locus on chromosome 11. Besides ADH1B, none of the five loci have prior genome-wide significant support. Post-genome-wide association study analysis identified genetic correlation to other alcohol-related traits, smoking-related traits, and many others. Replications were observed in UK Biobank data. Genetic correlation between maximum habitual alcohol consumption and alcohol dependence was 0.87 (p = 4.78 × 10-9). Enrichment for cell types included dopaminergic and gamma-aminobutyric acidergic neurons in midbrain, and pancreatic delta cells. CONCLUSIONS The present study supports five novel alcohol-use risk loci, with particularly strong statistical support for CRHR1. Additionally, we provide novel insight regarding the biology of harmful alcohol use.
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Affiliation(s)
- Joel Gelernter
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
| | - Ning Sun
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Renato Polimanti
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Robert H Pietrzak
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Daniel F Levey
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Qiongshi Lu
- Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Yiming Hu
- Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Boyang Li
- Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Krishnan Radhakrishnan
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut
| | - Mihaela Aslan
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Kei-Hoi Cheung
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Yuli Li
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut
| | - Nallakkandi Rajeevan
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut
| | - Fred Sayward
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut
| | - Kelly Harrington
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| | - Quan Chen
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jacqueline Honerlaw
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
| | - Saiju Pyarajan
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Todd Lencz
- Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, New York; Department of Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York; Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, New York; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, New York
| | - Rachel Quaden
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
| | - Yunling Shi
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
| | - Haley Hunter-Zinck
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Henry R Kranzler
- Veterans Integrated Services Networks (VISN) 4 Mental Illness Research, Education and Clinical Center, Crescenz VA Medical Center, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - John Concato
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Hongyu Zhao
- Veterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut
| | - Murray B Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, California; Department of Psychiatry, University of California San Diego, La Jolla, California.
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105
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Affiliation(s)
- Howard J Edenberg
- Departments of Biochemistry and Molecular Biology and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
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106
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Evangelou E, Gao H, Chu C, Ntritsos G, Blakeley P, Butts AR, Pazoki R, Suzuki H, Koskeridis F, Yiorkas AM, Karaman I, Elliott J, Luo Q, Aeschbacher S, Bartz TM, Baumeister SE, Braund PS, Brown MR, Brody JA, Clarke TK, Dimou N, Faul JD, Homuth G, Jackson AU, Kentistou KA, Joshi PK, Lemaitre RN, Lind PA, Lyytikäinen LP, Mangino M, Milaneschi Y, Nelson CP, Nolte IM, Perälä MM, Polasek O, Porteous D, Ratliff SM, Smith JA, Stančáková A, Teumer A, Tuominen S, Thériault S, Vangipurapu J, Whitfield JB, Wood A, Yao J, Yu B, Zhao W, Arking DE, Auvinen J, Liu C, Männikkö M, Risch L, Rotter JI, Snieder H, Veijola J, Blakemore AI, Boehnke M, Campbell H, Conen D, Eriksson JG, Grabe HJ, Guo X, van der Harst P, Hartman CA, Hayward C, Heath AC, Jarvelin MR, Kähönen M, Kardia SLR, Kühne M, Kuusisto J, Laakso M, Lahti J, Lehtimäki T, McIntosh AM, Mohlke KL, Morrison AC, Martin NG, Oldehinkel AJ, Penninx BWJH, Psaty BM, Raitakari OT, Rudan I, Samani NJ, Scott LJ, Spector TD, Verweij N, Weir DR, Wilson JF, Levy D, Tzoulaki I, Bell JD, Matthews PM, Rothenfluh A, Desrivières S, Schumann G, Elliott P. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nat Hum Behav 2019; 3:950-961. [PMID: 31358974 PMCID: PMC7711277 DOI: 10.1038/s41562-019-0653-z] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 06/11/2019] [Indexed: 12/19/2022]
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.
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Affiliation(s)
- Evangelos Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - He Gao
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Congying Chu
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Georgios Ntritsos
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Paul Blakeley
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- NIHR Imperial Biomedical Research Centre, ITMAT Data Science Group, Imperial College London, London, UK
| | - Andrew R Butts
- Molecular Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Raha Pazoki
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Hideaki Suzuki
- Centre for Restorative Neurosciences, Division of Brain Sciences, Department of Medicine, Hammersmith Campus, Imperial College London, London, UK
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fotios Koskeridis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Andrianos M Yiorkas
- Department of Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Imperial College London, London, UK
| | - Ibrahim Karaman
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- UK Dementia Research Institute, Imperial College London, London, UK
| | - Joshua Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Qiang Luo
- Institute of Science and Technology for Brain-Inspired Intelligence, MOE-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Psychology and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | | | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Sebastian E Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universitat Munchen, UNIKA-T Augsburg, Augsburg, Germany
| | - Peter S Braund
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Toni-Kim Clarke
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Niki Dimou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Katherine A Kentistou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Centre for Cardiovascular Sciences, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and LHealth Technology, Tampere University, Tampere, Finland
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, Finland
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- NIHR Biomedical Research Centre, Guy's and St Thomas Foundation Trust, London, UK
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Ilja M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Mia-Maria Perälä
- Folkhälsan Research Center, Helsinki, Finland
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Split, Croatia
| | - David Porteous
- Generation Scotland, Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Edinburgh, UK
| | - Scott M Ratliff
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Samuli Tuominen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sébastien Thériault
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
- Department of Molecular Biology, Medical Biochemistry and Pathology, Laval University, Quebec City, Quebec, Canada
| | - Jagadish Vangipurapu
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Alexis Wood
- Department of Pediatrics/Nutrition, Baylor College of Medicine, Houston, TX, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Juha Auvinen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Oulunkaari Health Center, Ii, Finland
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Minna Männikkö
- Northern Finland Birth Cohorts, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Lorenz Risch
- Institute of Clinical Chemistry, Inselspital Bern, University Hospital, University of Bern, Bern, Switzerland
- Labormedizinisches Zentrum Dr. Risch, Vaduz, Liechtenstein
- Private University of the Principality of Liechtenstein, Triesen, Liechtenstein
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
- Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
- Medical research Center Oulu, University and University Hospital of Oulu, Oulu, Finland
| | - Alexandra I Blakemore
- Department of Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Imperial College London, London, UK
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, the Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Andrew C Heath
- Department of Psychiatry, School of Medicine, Washington University in St Louis, St Louis, MO, USA
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Michael Kühne
- Cardiology Division, University Hospital Basel, Basel, Switzerland
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and LHealth Technology, Tampere University, Tampere, Finland
| | - Andrew M McIntosh
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Edinburgh, UK
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Albertine J Oldehinkel
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Laura J Scott
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Jimmy D Bell
- Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK
| | - Paul M Matthews
- Centre for Restorative Neurosciences, Division of Brain Sciences, Department of Medicine, Hammersmith Campus, Imperial College London, London, UK
- UK Dementia Research Institute, Imperial College London, London, UK
| | - Adrian Rothenfluh
- Molecular Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
- Departments of Psychiatry, Neurobiology & Anatomy, Human Genetics, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- PONS Research Group, Dept of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin, Germany and Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, P.R. China.
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
- UK Dementia Research Institute, Imperial College London, London, UK.
- National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare NHS Trust and Imperial College London, London, UK.
- Health Data Research UK London Substantive Site, London, UK.
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Khramtsova EA, Heldman R, Derks EM, Yu D, Davis LK, Stranger BE. Sex differences in the genetic architecture of obsessive-compulsive disorder. Am J Med Genet B Neuropsychiatr Genet 2019; 180:351-364. [PMID: 30456828 PMCID: PMC6527502 DOI: 10.1002/ajmg.b.32687] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 09/24/2018] [Accepted: 09/25/2018] [Indexed: 12/31/2022]
Abstract
Obsessive-compulsive disorder (OCD) is a highly heritable complex phenotype that demonstrates sex differences in age of onset and clinical presentation, suggesting a possible sex difference in underlying genetic architecture. We present the first genome-wide characterization of the sex-specific genetic architecture of OCD, utilizing the largest set of OCD cases and controls available from the Psychiatric Genomics Consortium. We assessed evidence for several mechanisms that may contribute to sex differences including a sex-dependent liability threshold, the presence of individual sex-specific risk variants on the autosomes and the X chromosome, and sex-specific pleiotropic effects. Furthermore, we tested the hypothesis that genetic heterogeneity between the sexes may obscure associations in a sex-combined genome-wide association study. We observed a strong genetic correlation between male and female OCD and no evidence for a sex-dependent liability threshold model, suggesting that sex-combined analysis does not suffer from widespread loss of power because of genetic heterogeneity between the sexes. While we did not detect any significant sex-specific genome-wide single nucleotide polymorphisms (SNP) associations, we did identify two significant gene-based associations in females: GRID2 and GRP135, which showed no association in males. We observed that the SNPs with sexually differentiated effects showed an enrichment of regulatory variants influencing expression of genes in brain and immune tissues. These findings suggest that future studies with larger sample sizes hold great promise for the identification of sex-specific genetic risk factors for OCD.
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Affiliation(s)
- Ekaterina A Khramtsova
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois
- Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois
| | | | - Eske M Derks
- Queensland Institute of Medical Research, Brisbane, Australia
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts
| | - Lea K Davis
- Vanderbilt Genetics Institute; Vanderbilt University Medical Center, Nashville, Tennessee
- Division of Medical Genetics, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Barbara E Stranger
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois
- Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois
- Center for Data Intensive Science, University of Chicago, Chicago, Illinois
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108
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Schmitt RE, Shell BC, Lee KM, Shelton KL, Mathies LD, Edwards AC, Grotewiel M. Convergent Evidence From Humans and Drosophila melanogaster Implicates the Transcription Factor MEF2B/Mef2 in Alcohol Sensitivity. Alcohol Clin Exp Res 2019; 43:1872-1886. [PMID: 31241765 PMCID: PMC6721962 DOI: 10.1111/acer.14138] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 06/19/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Self-Rating of the Effects of Alcohol (SRE) measures level of response to ethanol (EtOH) in humans. Interestingly, there is a positive relationship between the SRE and risk for abusing alcohol, suggesting mechanistic connections between SRE and alcohol abuse. METHODS To identify candidate genes with a role in SRE and alcohol-related behavior more generally, we coupled human genetic analyses with studies in Drosophila melanogaster. We first performed a gene-based analysis of Genomewide association studies (GWAS) summary statistics for SRE in the Avon Longitudinal Study of Parents and Children sample. Based on prior findings in humans, orthology to fly genes, and the availability of genetic reagents, we selected a subset of these genes for studies on EtOH behavior in Drosophila. RESULTS We found 37 genes with nominal associations in our SRE GWAS. We explored the role of 6 orthologous genes in Drosophila EtOH sedation and rapid tolerance. We found that the transcription factor Mef2 is required for normal EtOH sedation in flies. Pan-neuronal expression of 2 independent Mef2 RNAi transgenes significantly reduced Mef2 expression and made flies resistant to EtOH sedation. Additionally, flies with multiple independent mutant alleles of Mef2 were also resistant to EtOH sedation, confirming a role for Mef2 in this behavior. Altered expression of Mef2 did not change EtOH rapid tolerance or cause a net change in internal EtOH concentrations. CONCLUSIONS Our studies indicate that MEF2B influences SRE in humans and that Mef2 impacts EtOH sedation in Drosophila.
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Affiliation(s)
- Rebecca E. Schmitt
- Human Genetics Ph.D. Program, Virginia Commonwealth University, Richmond, VA
| | - Brandon C. Shell
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA
| | - Kristen M. Lee
- Neuroscience Ph.D. Program, Virginia Commonwealth University, Richmond, VA
| | - Keith L. Shelton
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA
| | - Laura D. Mathies
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA
- Virginia Commonwealth University Alcohol Research Center, Virginia Commonwealth University, Richmond, VA
| | - Alexis C. Edwards
- Virginia Commonwealth University Alcohol Research Center, Virginia Commonwealth University, Richmond, VA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Mike Grotewiel
- Human Genetics Ph.D. Program, Virginia Commonwealth University, Richmond, VA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA
- Neuroscience Ph.D. Program, Virginia Commonwealth University, Richmond, VA
- Virginia Commonwealth University Alcohol Research Center, Virginia Commonwealth University, Richmond, VA
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109
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Carvalho AF, Heilig M, Perez A, Probst C, Rehm J. Alcohol use disorders. Lancet 2019; 394:781-792. [PMID: 31478502 DOI: 10.1016/s0140-6736(19)31775-1] [Citation(s) in RCA: 338] [Impact Index Per Article: 67.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 05/30/2019] [Accepted: 06/25/2019] [Indexed: 12/12/2022]
Abstract
Alcohol use disorders consist of disorders characterised by compulsive heavy alcohol use and loss of control over alcohol intake. Alcohol use disorders are some of the most prevalent mental disorders globally, especially in high-income and upper-middle-income countries; and are associated with high mortality and burden of disease, mainly due to medical consequences, such as liver cirrhosis or injury. Despite their high prevalence, alcohol use disorders are undertreated partly because of the high stigma associated with them, but also because of insufficient systematic screening in primary health care, although effective and cost-effective psychosocial and pharmacological interventions do exist. Primary health care should be responsible for most treatment, with routine screening for alcohol use, and the provision of a staggered treatment response, from brief advice to pharmacological treatment. Clinical interventions for these disorders should be embedded in a supportive environment, which can be bolstered by the creation of alcohol control policies aimed at reducing the overall level of consumption.
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Affiliation(s)
- Andre F Carvalho
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Markus Heilig
- Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | | | - Charlotte Probst
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Jürgen Rehm
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Clinical Psychology and Psychotherapy, and Center for Clinical Epidemiology and Longitudinal Studies, Technische Universität Dresden, Dresden, Germany; Department of International Health Projects, Institute for Leadership and Health Management, IM Sechenov First Moscow State Medical University, Moscow, Russia.
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110
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Pavlovian-To-Instrumental Transfer and Alcohol Consumption in Young Male Social Drinkers: Behavioral, Neural and Polygenic Correlates. J Clin Med 2019; 8:jcm8081188. [PMID: 31398853 PMCID: PMC6723486 DOI: 10.3390/jcm8081188] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 08/04/2019] [Accepted: 08/06/2019] [Indexed: 11/17/2022] Open
Abstract
In animals and humans, behavior can be influenced by irrelevant stimuli, a phenomenon called Pavlovian-to-instrumental transfer (PIT). In subjects with substance use disorder, PIT is even enhanced with functional activation in the nucleus accumbens (NAcc) and amygdala. While we observed enhanced behavioral and neural PIT effects in alcohol-dependent subjects, we here aimed to determine whether behavioral PIT is enhanced in young men with high-risk compared to low-risk drinking and subsequently related functional activation in an a-priori region of interest encompassing the NAcc and amygdala and related to polygenic risk for alcohol consumption. A representative sample of 18-year old men (n = 1937) was contacted: 445 were screened, 209 assessed: resulting in 191 valid behavioral, 139 imaging and 157 genetic datasets. None of the subjects fulfilled criteria for alcohol dependence according to the Diagnostic and Statistical Manual of Mental Disorders-IV-TextRevision (DSM-IV-TR). We measured how instrumental responding for rewards was influenced by background Pavlovian conditioned stimuli predicting action-independent rewards and losses. Behavioral PIT was enhanced in high-compared to low-risk drinkers (b = 0.09, SE = 0.03, z = 2.7, p < 0.009). Across all subjects, we observed PIT-related neural blood oxygen level-dependent (BOLD) signal in the right amygdala (t = 3.25, pSVC = 0.04, x = 26, y = -6, z = -12), but not in NAcc. The strength of the behavioral PIT effect was positively correlated with polygenic risk for alcohol consumption (rs = 0.17, p = 0.032). We conclude that behavioral PIT and polygenic risk for alcohol consumption might be a biomarker for a subclinical phenotype of risky alcohol consumption, even if no drug-related stimulus is present. The association between behavioral PIT effects and the amygdala might point to habitual processes related to out PIT task. In non-dependent young social drinkers, the amygdala rather than the NAcc is activated during PIT; possible different involvement in association with disease trajectory should be investigated in future studies.
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111
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Johnson EC, St Pierre CL, Meyers JL, Aliev F, McCutcheon VV, Lai D, Dick DM, Goate AM, Kramer J, Kuperman S, Nurnberger JI, Schuckit MA, Porjesz B, Edenberg HJ, Bucholz KK, Agrawal A. The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. Alcohol Clin Exp Res 2019; 43:1113-1125. [PMID: 30994927 PMCID: PMC6560626 DOI: 10.1111/acer.14064] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 04/04/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Genomewide association studies (GWAS) have begun to identify loci related to alcohol consumption, but little is known about whether this genetic propensity overlaps with specific indices of problem drinking in ascertained samples. METHODS In 6,731 European Americans who had been exposed to alcohol, we examined whether polygenic risk scores (PRS) from a GWAS of weekly alcohol consumption in the UK Biobank predicted variance in 6 alcohol-related phenotypes: alcohol use, maximum drinks within 24 hours (MAXD), total score on the Self-Rating of the Effects of Ethanol Questionnaire (SRE-T), DSM-IV alcohol dependence (DSM4AD), DSM-5 alcohol use disorder symptom counts (DSM5AUDSX), and reduction/cessation of problematic drinking. We also examined the extent to which an single nucleotide polymorphism (rs1229984) in ADH1B, which is strongly associated with both alcohol consumption and dependence, contributed to the polygenic association with these phenotypes and whether PRS interacted with sex, age, or family history of alcoholism to predict alcohol-related outcomes. We performed mixed-effect regression analyses, with family membership and recruitment site included as random effects, as well as survival modeling of age of onset of DSM4AD. RESULTS PRS for alcohol consumption significantly predicted variance in 5 of the 6 outcomes: alcohol use (Δmarginal R2 = 1.39%, Δ area under the curve [AUC] = 0.011), DSM4AD (Δmarginal R2 = 0.56%; ΔAUC = 0.003), DSM5AUDSX (Δmarginal R2 = 0.49%), MAXD (Δmarginal R2 = 0.31%), and SRE-T (Δmarginal R2 = 0.22%). PRS were also associated with onset of DSM4AD (hazard ratio = 1.11, p = 2.08e-5). The inclusion of rs1229984 attenuated the effects of the alcohol consumption PRS, particularly for DSM4AD and DSM5AUDSX, but the PRS continued to exert an independent effect for all 5 alcohol measures (Δmarginal R2 after controlling for ADH1B = 0.14 to 1.22%). Interactions between PRS and sex, age, or family history were nonsignificant. CONCLUSIONS Genetic propensity for typical alcohol consumption was associated with alcohol use and was also associated with 4 of the additional 5 outcomes, though the variance explained in this sample was modest. Future GWAS that focus on the multifaceted nature of AUD, which goes beyond consumption, might reveal additional information regarding the polygenic underpinnings of problem drinking.
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Affiliation(s)
- Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Celine L St Pierre
- Division of Biological and Biomedical Sciences, Washington University School of Medicine, Saint Louis, Missouri
| | - Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Fazil Aliev
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
- Department of Actuarial and Risk Management, Faculty of Business, Karabuk University, Karabük, Turkey
| | - Vivia V McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Danielle M Dick
- Department of Psychology and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Alison M Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - John Kramer
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Samuel Kuperman
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - John I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
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112
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Wang Y, Karstoft KI, Nievergelt CM, Maihofer AX, Stein MB, Ursano RJ, Bybjerg-Grauholm J, Bækvad-Hansen M, Hougaard DM, Andreassen OA, Werge T, Thompson WK, Andersen SB. Post-traumatic stress following military deployment: Genetic associations and cross-disorder genetic correlations. J Affect Disord 2019; 252:350-357. [PMID: 30999091 DOI: 10.1016/j.jad.2019.04.070] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 02/22/2019] [Accepted: 04/08/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Post-traumatic stress disorder (PTSD) is a complex psychiatric disorder that occurs with relatively high frequency after deployment to warzones (∼10%). While twin studies have estimated the heritability to be up to 40%, thus indicating a considerable genetic component in the etiology, the biological mechanisms underlying risk and development of PTSD remain unknown. METHODS Here, we conduct a genome-wide association study (GWAS; N = 2,481) to identify genome regions that associate with PTSD in a highly homogenous, trauma-exposed sample of Danish soldiers deployed to war and conflict zones. We perform integrated analyses of our results with gene-expression and chromatin-contact datasets to prioritized genes. We also leverage on other large GWAS (N>300,000) to investigate genetic correlations between PTSD and other psychiatric disorders and traits. RESULTS We discover, but do not replicate, one region, 4q31, close to the IL15 gene, which is genome-wide significantly associated with PTSD. We demonstrate that gene-set enrichment, polygenic risk score and genetic correlation analyses show consistent and significant genetic correlations between PTSD and depression, insomnia and schizophrenia. LIMITATIONS The limited sample size, the lack of replication, and the PTSD case definition by questionnaire are limitations to the study. CONCLUSIONS Our results suggest that genetic perturbations of inflammatory response may contribute to the risk of PTSD. In addition, shared genetic components contribute to observed correlations between PTSD and depression, insomnia and schizophrenia.
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Affiliation(s)
- Yunpeng Wang
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Institute of Biological Psychiatry, Mental Health Center St. Hans, Mental Health Services Copenhagen, Boserupvej 2, DK-4000 Roskilde, Denmark; Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway; Department of Psychology, University of Oslo, Harald Schelderups Hus Forskningsveien 3A 0373 Oslo
| | - Karen-Inge Karstoft
- Research and Knowledge Center, The Danish Veteran Center, Garnisonen 1, 4100 Ringsted, Denmark; Department of Psychology, University of Copenhagen, Øster Farimagsgade 2A, 1353 Copenhagen, Denmark.
| | - Caroline M Nievergelt
- VA Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla Village Drive 3350, 92161 La Jolla, CA, USA; Department of Psychiatry, School of Medicine, University of California San Diego, Gilman Drive 9500, 92093 La Jolla, CA, USA
| | - Adam X Maihofer
- VA Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla Village Drive 3350, 92161 La Jolla, CA, USA; Department of Psychiatry, School of Medicine, University of California San Diego, Gilman Drive 9500, 92093 La Jolla, CA, USA
| | - Murray B Stein
- Department of Psychiatry, School of Medicine, University of California San Diego, Gilman Drive 9500, 92093 La Jolla, CA, USA; Department of Family Medicine and Public Health, University of California San Diego, Gilman Drive 9500, 92093 La Jolla, CA, USA
| | - Robert J Ursano
- Department of Psychiatry, Uniformed Services University of the Health Sciences, Jones Bridge Road 4301, 20814 Bethesda, MD, USA
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Danish Centre for Neonatal Screening, Department of Congenital Diseases, Statens Serum Institute, Artillerivej 5, DK-2300 Copenhagen, Denmark
| | - Marie Bækvad-Hansen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Danish Centre for Neonatal Screening, Department of Congenital Diseases, Statens Serum Institute, Artillerivej 5, DK-2300 Copenhagen, Denmark
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Danish Centre for Neonatal Screening, Department of Congenital Diseases, Statens Serum Institute, Artillerivej 5, DK-2300 Copenhagen, Denmark
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Institute of Biological Psychiatry, Mental Health Center St. Hans, Mental Health Services Copenhagen, Boserupvej 2, DK-4000 Roskilde, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
| | - Wesley K Thompson
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Institute of Biological Psychiatry, Mental Health Center St. Hans, Mental Health Services Copenhagen, Boserupvej 2, DK-4000 Roskilde, Denmark; Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway; Division of Biostatistics, Department of Family Medicine and Public Health, University of California, San Diego
| | - Søren B Andersen
- Research and Knowledge Center, The Danish Veteran Center, Garnisonen 1, 4100 Ringsted, Denmark
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Brazel DM, Jiang Y, Hughey JM, Turcot V, Zhan X, Gong J, Batini C, Weissenkampen JD, Liu M, Barnes DR, Bertelsen S, Chou YL, Erzurumluoglu AM, Faul JD, Haessler J, Hammerschlag AR, Hsu C, Kapoor M, Lai D, Le N, de Leeuw CA, Loukola A, Mangino M, Melbourne CA, Pistis G, Qaiser B, Rohde R, Shao Y, Stringham H, Wetherill L, Zhao W, Agrawal A, Bierut L, Chen C, Eaton CB, Goate A, Haiman C, Heath A, Iacono WG, Martin NG, Polderman TJ, Reiner A, Rice J, Schlessinger D, Scholte HS, Smith JA, Tardif JC, Tindle HA, van der Leij AR, Boehnke M, Chang-Claude J, Cucca F, David SP, Foroud T, Howson JMM, Kardia SLR, Kooperberg C, Laakso M, Lettre G, Madden P, McGue M, North K, Posthuma D, Spector T, Stram D, Tobin MD, Weir DR, Kaprio J, Abecasis GR, Liu DJ, Vrieze S. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use. Biol Psychiatry 2019; 85:946-955. [PMID: 30679032 PMCID: PMC6534468 DOI: 10.1016/j.biopsych.2018.11.024] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 11/05/2018] [Accepted: 11/29/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND Smoking and alcohol use have been associated with common genetic variants in multiple loci. Rare variants within these loci hold promise in the identification of biological mechanisms in substance use. Exome arrays and genotype imputation can now efficiently genotype rare nonsynonymous and loss of function variants. Such variants are expected to have deleterious functional consequences and to contribute to disease risk. METHODS We analyzed ∼250,000 rare variants from 16 independent studies genotyped with exome arrays and augmented this dataset with imputed data from the UK Biobank. Associations were tested for five phenotypes: cigarettes per day, pack-years, smoking initiation, age of smoking initiation, and alcoholic drinks per week. We conducted stratified heritability analyses, single-variant tests, and gene-based burden tests of nonsynonymous/loss-of-function coding variants. We performed a novel fine-mapping analysis to winnow the number of putative causal variants within associated loci. RESULTS Meta-analytic sample sizes ranged from 152,348 to 433,216, depending on the phenotype. Rare coding variation explained 1.1% to 2.2% of phenotypic variance, reflecting 11% to 18% of the total single nucleotide polymorphism heritability of these phenotypes. We identified 171 genome-wide associated loci across all phenotypes. Fine mapping identified putative causal variants with double base-pair resolution at 24 of these loci, and between three and 10 variants for 65 loci. Twenty loci contained rare coding variants in the 95% credible intervals. CONCLUSIONS Rare coding variation significantly contributes to the heritability of smoking and alcohol use. Fine-mapping genome-wide association study loci identifies specific variants contributing to the biological etiology of substance use behavior.
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Affiliation(s)
- David M Brazel
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado; Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, Colorado
| | - Yu Jiang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - Jordan M Hughey
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - Valérie Turcot
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada; Montreal Heart Institute, Montreal, Quebec, Canada
| | - Xiaowei Zhan
- Department of Clinical Science, Center for Genetics of Host Defense, University of Texas Southwestern, Dallas, Texas
| | - Jian Gong
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Chiara Batini
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - J Dylan Weissenkampen
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - MengZhen Liu
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Daniel R Barnes
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Sarah Bertelsen
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Yi-Ling Chou
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | | | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Jeff Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Anke R Hammerschlag
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, University of Amsterdam, Amsterdam, the Netherlands
| | - Chris Hsu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Nhung Le
- Department of Medical Microbiology, Immunology and Cell Biology, Southern Illinois University School of Medicine, Springfield, Illinois
| | - Christiaan A de Leeuw
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, University of Amsterdam, Amsterdam, the Netherlands
| | - Anu Loukola
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom; National Institute for Health Research Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, United Kingdom
| | - Carl A Melbourne
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Giorgio Pistis
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Italy
| | - Beenish Qaiser
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Rebecca Rohde
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Yaming Shao
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Heather Stringham
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Laura Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Department of Epidemiology, Head and Neck Surgery Center, University of Washington, Seattle, Washington; Department of Otolaryngology, Head and Neck Surgery Center, University of Washington, Seattle, Washington
| | - Charles B Eaton
- Department of Family Medicine, Brown University, Providence, Rhode Island
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Andrew Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | | | - Tinca J Polderman
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, University of Amsterdam, Amsterdam, the Netherlands
| | - Alex Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Department of Epidemiology, Head and Neck Surgery Center, University of Washington, Seattle, Washington
| | - John Rice
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Department of Mathematics, Washington University in St. Louis, St. Louis, Missouri
| | - David Schlessinger
- National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - H Steven Scholte
- Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, the Netherlands
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - Jean-Claude Tardif
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada; Montreal Heart Institute, Montreal, Quebec, Canada
| | - Hilary A Tindle
- Department of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Andries R van der Leij
- Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, the Netherlands
| | - Michael Boehnke
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Italy
| | - Sean P David
- Department of Medicine, Stanford University, Stanford, California
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Joanna M M Howson
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Markku Laakso
- Department of Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Guillaume Lettre
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada; Montreal Heart Institute, Montreal, Quebec, Canada
| | - Pamela Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Kari North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, University of Amsterdam, Amsterdam, the Netherlands; Department of Clinical Genetics, VU University Medical Centre, University of Amsterdam, Amsterdam, the Netherlands
| | - Timothy Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Daniel Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Gonçalo R Abecasis
- Regeneron Pharmaceuticals, Tarrytown, New York; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Dajiang J Liu
- Institute of Personalized Medicine, Penn State College of Medicine, Hershey, Pennsylvania.
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota.
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Keuper M, Häring HU, Staiger H. Circulating FGF21 Levels in Human Health and Metabolic Disease. Exp Clin Endocrinol Diabetes 2019; 128:752-770. [PMID: 31108554 DOI: 10.1055/a-0879-2968] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Human fibroblast growth factor 21 (FGF21) is primarily produced and secreted by the liver as a hepatokine. This hormone circulates to its target tissues (e. g., brain, adipose tissue), which requires two components, one of the preferred FGF receptor isoforms (FGFR1c and FGFR3c) and the co-factor beta-Klotho (KLB) to trigger downstream signaling pathways. Although targeting FGF21 signaling in humans by analogues and receptor agonists results in beneficial effects, e. g., improvements in plasma lipids and decreased body weight, it failed to recapitulate the improvements in glucose handling shown for many mouse models. FGF21's role and metabolic effects in mice and its therapeutic potential have extensively been reviewed elsewhere. In this review we focus on circulating FGF21 levels in humans and their associations with disease and clinical parameters, focusing primarily on obesity and obesity-associated diseases such as type-2 diabetes. We provide a comprehensive overview on human circulating FGF21 levels under normal physiology and metabolic disease. We discuss the emerging field of inactivating FGF21 in human blood by fibroblast activation protein (FAP) and its potential clinical implications.
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Affiliation(s)
- Michaela Keuper
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the Eberhard Karls University Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Department of Molecular Bioscience, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Hans-Ulrich Häring
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the Eberhard Karls University Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Interfaculty Centre for Pharmacogenomics and Pharma Research at the Eberhard Karls University Tübingen, Tübingen, Germany.,Department of Internal Medicine, Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, University Hospital Tübingen, Tübingen, Germany
| | - Harald Staiger
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the Eberhard Karls University Tübingen, Tübingen, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Interfaculty Centre for Pharmacogenomics and Pharma Research at the Eberhard Karls University Tübingen, Tübingen, Germany.,Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls University Tübingen, Tübingen, Germany
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115
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Polimanti R, Peterson RE, Ong JS, MacGregor S, Edwards AC, Clarke TK, Frank J, Gerring Z, Gillespie NA, Lind PA, Maes HH, Martin NG, Mbarek H, Medland SE, Streit F, Agrawal A, Edenberg HJ, Kendler KS, Lewis CM, Sullivan PF, Wray NR, Gelernter J, Derks EM. Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium. Psychol Med 2019; 49:1218-1226. [PMID: 30929657 PMCID: PMC6565601 DOI: 10.1017/s0033291719000667] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Despite established clinical associations among major depression (MD), alcohol dependence (AD), and alcohol consumption (AC), the nature of the causal relationship between them is not completely understood. We leveraged genome-wide data from the Psychiatric Genomics Consortium (PGC) and UK Biobank to test for the presence of shared genetic mechanisms and causal relationships among MD, AD, and AC. METHODS Linkage disequilibrium score regression and Mendelian randomization (MR) were performed using genome-wide data from the PGC (MD: 135 458 cases and 344 901 controls; AD: 10 206 cases and 28 480 controls) and UK Biobank (AC-frequency: 438 308 individuals; AC-quantity: 307 098 individuals). RESULTS Positive genetic correlation was observed between MD and AD (rgMD-AD = + 0.47, P = 6.6 × 10-10). AC-quantity showed positive genetic correlation with both AD (rgAD-AC quantity = + 0.75, P = 1.8 × 10-14) and MD (rgMD-AC quantity = + 0.14, P = 2.9 × 10-7), while there was negative correlation of AC-frequency with MD (rgMD-AC frequency = -0.17, P = 1.5 × 10-10) and a non-significant result with AD. MR analyses confirmed the presence of pleiotropy among these four traits. However, the MD-AD results reflect a mediated-pleiotropy mechanism (i.e. causal relationship) with an effect of MD on AD (beta = 0.28, P = 1.29 × 10-6). There was no evidence for reverse causation. CONCLUSION This study supports a causal role for genetic liability of MD on AD based on genetic datasets including thousands of individuals. Understanding mechanisms underlying MD-AD comorbidity addresses important public health concerns and has the potential to facilitate prevention and intervention efforts.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, Connecticut, USA
| | - Roseann E. Peterson
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jue-Sheng Ong
- Statistical Genetics, QIMR Berghofer, Brisbane, Australia
| | | | - Alexis C. Edwards
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden-Württemberg, Germany
| | - Zachary Gerring
- Translational Neurogenomics, QIMR Berghofer, Brisbane, Australia
| | - Nathan A. Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | | | - Hermine H. Maes
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Human and Molecular Genetics, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | | | - Hamdi Mbarek
- Department of Biological Psychology & EMGO + Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden-Württemberg, Germany
| | | | | | | | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Kenneth S. Kendler
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Cathryn M. Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
| | - Patrick F. Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Naomi R. Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, Connecticut, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Eske M. Derks
- Translational Neurogenomics, QIMR Berghofer, Brisbane, Australia
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116
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Mignogna KM, Bacanu SA, Riley BP, Wolen AR, Miles MF. Cross-species alcohol dependence-associated gene networks: Co-analysis of mouse brain gene expression and human genome-wide association data. PLoS One 2019; 14:e0202063. [PMID: 31017905 PMCID: PMC6481773 DOI: 10.1371/journal.pone.0202063] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 04/07/2019] [Indexed: 01/06/2023] Open
Abstract
Genome-wide association studies on alcohol dependence, by themselves, have yet to account for the estimated heritability of the disorder and provide incomplete mechanistic understanding of this complex trait. Integrating brain ethanol-responsive gene expression networks from model organisms with human genetic data on alcohol dependence could aid in identifying dependence-associated genes and functional networks in which they are involved. This study used a modification of the Edge-Weighted Dense Module Searching for genome-wide association studies (EW-dmGWAS) approach to co-analyze whole-genome gene expression data from ethanol-exposed mouse brain tissue, human protein-protein interaction databases and alcohol dependence-related genome-wide association studies. Results revealed novel ethanol-responsive and alcohol dependence-associated gene networks in prefrontal cortex, nucleus accumbens, and ventral tegmental area. Three of these networks were overrepresented with genome-wide association signals from an independent dataset. These networks were significantly overrepresented for gene ontology categories involving several mechanisms, including actin filament-based activity, transcript regulation, Wnt and Syndecan-mediated signaling, and ubiquitination. Together, these studies provide novel insight for brain mechanisms contributing to alcohol dependence.
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Affiliation(s)
- Kristin M. Mignogna
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- VCU Alcohol Research Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
- VCU Center for Clinical & Translational Research, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Silviu A. Bacanu
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- VCU Alcohol Research Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Brien P. Riley
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- VCU Alcohol Research Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Aaron R. Wolen
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Michael F. Miles
- VCU Alcohol Research Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, Virginia, United States of America
- * E-mail:
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117
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Cornelis MC. Genetic determinants of beverage consumption: Implications for nutrition and health. ADVANCES IN FOOD AND NUTRITION RESEARCH 2019; 89:1-52. [PMID: 31351524 PMCID: PMC7047661 DOI: 10.1016/bs.afnr.2019.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Beverages make important contributions to nutritional intake and their role in health has received much attention. This review focuses on the genetic determinants of common beverage consumption and how research in this field is contributing insight to what and how much we consume and why this genetic knowledge matters from a research and public health perspective. The earliest efforts in gene-beverage behavior mapping involved genetic linkage and candidate gene analysis but these approaches have been largely replaced by genome-wide association studies (GWAS). GWAS have identified biologically plausible loci underlying alcohol and coffee drinking behavior. No GWAS has identified variants specifically associated with consumption of tea, juice, soda, wine, beer, milk or any other common beverage. Thus far, GWAS highlight an important behavior-reward component (as opposed to taste) to beverage consumption which may serve as a potential barrier to dietary interventions. Loci identified have been used in Mendelian randomization and gene×beverage interaction analysis of disease but results have been mixed. This research is necessary as it informs the clinical relevance of SNP-beverage associations and thus genotype-based personalized nutrition, which is gaining interest in the commercial and public health sectors.
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Affiliation(s)
- Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
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118
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von Holstein-Rathlou S, Gillum MP. Fibroblast growth factor 21: an endocrine inhibitor of sugar and alcohol appetite. J Physiol 2019; 597:3539-3548. [PMID: 30921473 DOI: 10.1113/jp277117] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 03/20/2019] [Indexed: 12/13/2022] Open
Abstract
Fibroblast growth factor 21 (FGF21) is a liver-derived hormone with pleiotropic metabolic effects. Its production is induced by various dietary imbalances in mice (including low-protein and ketogenic diets, fructose feeding and ethanol), hinting that it might influence food preference given the role of the liver in maintaining homeostatic levels of circulating nutrients. In 2016, it was shown that FGF21 selectively inhibits consumption of sugars and the primary product of their fermentation, ethanol, but not intake of fat, protein or complex carbohydrates. Since then, studies have sought to unravel this selectivity, its physiological purpose and translational relevance, as well as delineate the neural mechanisms involved. Initially found to impact ingestive behaviours in mice and non-human primates, FGF21 is also induced in humans by sugars and, far more dramatically, by acute alcohol intake. Genetic studies have revealed that patterns of weekly candy and alcohol consumption are associated with genetic variants in FGF21 and its co-receptor β-klotho (KLB), suggesting that liking for sugar, and fermented sugar, may be influenced by natural variation in FGF21 signal strength in humans. Herein, we discuss our nascent understanding of FGF21 as a selective negative regulator of sugar and alcohol appetite as well as reasons why such a peculiar system may have evolved in mammals. Uncovering the regulatory network governing sugar, and fermented sugar, intake could provide new opportunities to improve dietary choices in a population suffering from Western diet-induced diseases fuelled in part by a runaway sweet - and alcohol - tooth.
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Affiliation(s)
| | - Matthew P Gillum
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
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119
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Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nat Commun 2019; 10:1499. [PMID: 30940813 PMCID: PMC6445072 DOI: 10.1038/s41467-019-09480-8] [Citation(s) in RCA: 285] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 03/06/2019] [Indexed: 12/21/2022] Open
Abstract
Alcohol consumption level and alcohol use disorder (AUD) diagnosis are moderately heritable traits. We conduct genome-wide association studies of these traits using longitudinal Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) scores and AUD diagnoses in a multi-ancestry Million Veteran Program sample (N = 274,424). We identify 18 genome-wide significant loci: 5 associated with both traits, 8 associated with AUDIT-C only, and 5 associated with AUD diagnosis only. Polygenic Risk Scores (PRS) for both traits are associated with alcohol-related disorders in two independent samples. Although a significant genetic correlation reflects the overlap between the traits, genetic correlations for 188 non-alcohol-related traits differ significantly for the two traits, as do the phenotypes associated with the traits' PRS. Cell type group partitioning heritability enrichment analyses also differentiate the two traits. We conclude that, although heavy drinking is a key risk factor for AUD, it is not a sufficient cause of the disorder.
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Affiliation(s)
- Henry R Kranzler
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA.
| | - Hang Zhou
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Rachel L Kember
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Rachel Vickers Smith
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
- University of Louisville School of Nursing, Louisville, KY, 40202, USA
| | - Amy C Justice
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
- Yale School of Public Health, New Haven, CT, 06511, USA
| | - Scott Damrauer
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Philip S Tsao
- VA Palo Alto Health Care System, Palo Alto, CA, 94304, USA
- Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Derek Klarin
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Aris Baras
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - Jeffrey Reid
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - John Overton
- Regeneron Genetics Center, Tarrytown, NY, 10591, USA
| | - Daniel J Rader
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Zhongshan Cheng
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Janet P Tate
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - William C Becker
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - John Concato
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Ke Xu
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Renato Polimanti
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Hongyu Zhao
- Yale School of Medicine, New Haven, CT, 06511, USA
- Yale School of Public Health, New Haven, CT, 06511, USA
| | - Joel Gelernter
- Yale School of Medicine, New Haven, CT, 06511, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
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120
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Müller CP, Chu C, Qin L, Liu C, Xu B, Gao H, Ruggeri B, Hieber S, Schneider J, Jia T, Tay N, Akira S, Satoh T, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Artiges E, Lemaitre H, Nees F, Papadopoulos Orfanos D, Paus T, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Bakalkin G, Liu Y, Desrivières S, Elliott P, Eulenburg V, Levy D, Crews F, Schumann G. The Cortical Neuroimmune Regulator TANK Affects Emotional Processing and Enhances Alcohol Drinking: A Translational Study. Cereb Cortex 2019; 29:1736-1751. [PMID: 30721969 PMCID: PMC6430980 DOI: 10.1093/cercor/bhy341] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 12/14/2018] [Accepted: 12/19/2018] [Indexed: 12/22/2022] Open
Abstract
Alcohol abuse is a major public health problem worldwide. Understanding the molecular mechanisms that control regular drinking may help to reduce hazards of alcohol consumption. While immunological mechanisms have been related to alcohol drinking, most studies reported changes in immune function that are secondary to alcohol use. In this report, we analyse how the gene "TRAF family member-associated NF-κB activator" (TANK) affects alcohol drinking behavior. Based on our recent discovery in a large GWAS dataset that suggested an association of TANK, SNP rs197273, with alcohol drinking, we report that SNP rs197273 in TANK is associated both with gene expression (P = 1.16 × 10-19) and regional methylation (P = 5.90 × 10-25). A tank knock out mouse model suggests a role of TANK in alcohol drinking, anxiety-related behavior, as well as alcohol exposure induced activation of insular cortex NF-κB. Functional and structural neuroimaging studies among up to 1896 adolescents reveal that TANK is involved in the control of brain activity in areas of aversive interoceptive processing, including the insular cortex, but not in areas related to reinforcement, reward processing or impulsiveness. Our findings suggest that the cortical neuroimmune regulator TANK is associated with enhanced aversive emotional processing that better protects from the establishment of alcohol drinking behavior.
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Affiliation(s)
- Christian P Müller
- Section of Addiction Medicine, Department of Psychiatry and Psychotherapy, University Clinic, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, Erlangen, Germany
| | - Congying Chu
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College De Crespigny Park, London, UK
| | - Liya Qin
- Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina, Chapel Hill NC, USA
| | - Chunyu Liu
- The Framingham Heart Study, 73 Mt Wayte Ave, Framingham MA, USA
- The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda MD, USA
- Boston University School of Public Health, 715 Albany St, Boston MA, USA
| | - Bing Xu
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College De Crespigny Park, London, UK
| | - He Gao
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Barbara Ruggeri
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College De Crespigny Park, London, UK
| | - Saskia Hieber
- Section of Addiction Medicine, Department of Psychiatry and Psychotherapy, University Clinic, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, Erlangen, Germany
| | - Julia Schneider
- Institute for Biochemistry and Molecular Medicine, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstrasse 17, Erlangen, Germany
| | - Tianye Jia
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College De Crespigny Park, London, UK
| | - Nicole Tay
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College De Crespigny Park, London, UK
| | - Shizuo Akira
- Laboratory of Host Defense, World Premier International Immunology Frontiern Research Center, Research Institute for Microbial Diseases, Osaka University, 1-1 Yamadaoka, Suita, Osaka, Osaka, Japan
| | - Takashi Satoh
- Laboratory of Host Defense, World Premier International Immunology Frontiern Research Center, Research Institute for Microbial Diseases, Osaka University, 1-1 Yamadaoka, Suita, Osaka, Osaka, Japan
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, James's Street, Dublin, Ireland
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, Hamburg, Germany
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, Hamburg, Germany
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College De Crespigny Park, London, UK
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany [ Physikalisch-Technische Bundesanstalt (PTB), Abbestr. 2—12, Berlin, Germany]
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud—University Paris Saclay, DIGITEO Labs, Rue Noetzlin, Gif sur Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud—Paris Saclay, University Paris Descartes; and AP-HP, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud—University Paris Saclay, DIGITEO Labs, Gif sur Yvette; and Psychiatry Department, Orsay Hospital, Orsay, France
| | - Herve Lemaitre
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris-Sud Medical School, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, Mannheim, Germany
| | | | - Tomáš Paus
- Rotman Research Institute, Baycrest and Departments of Psychology and Psychiatry, University of Toronto, 3560 Bathurst Street, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, Göttingen, Germany
- Clinic for Child and Adolescent Psychiatry, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, Austria
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Chemnitzer Str. 46a01187 Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Chemnitzer Str. 46a01187 Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Aras an Phiarsaigh Trinity College Dublin, Dublin, Ireland
| | - Georgy Bakalkin
- Division of Biological Research on Drug Dependence, Department of Pharmaceutical, Biosciences, Uppsala University, Husargatan 3, Uppsala, Sweden
| | - Yun Liu
- Key Laboratory of Metabolism and Molecular Medicine, Ministry of Education; Department of Biochemistry and Molecular Biology, Fudan University Shanghai Medical College, Shanghai, P.R. China
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College De Crespigny Park, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Volker Eulenburg
- Institute for Biochemistry and Molecular Medicine, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstrasse 17, Erlangen, Germany
- Department of Anaesthesiology and Intensive Care Medicine, University of Leipzig, Liebigstrasse 20, Leipzig, Germany
| | - Daniel Levy
- The Framingham Heart Study, 73 Mt Wayte Ave, Framingham MA, USA
- The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda MD, USA
| | - Fulton Crews
- Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina, Chapel Hill NC, USA
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College De Crespigny Park, London, UK
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Abstract
PURPOSE OF REVIEW We review the search for genetic variants that affect the risk for alcohol dependence and alcohol consumption. RECENT FINDINGS Variations in genes affecting alcohol metabolism (ADH1B, ALDH2) are protective against both alcohol dependence and excessive consumption, but different variants are found in different populations. There are different patterns of risk variants for alcohol dependence vs. consumption. Variants for alcohol dependence, but not consumption, are associated with risk for other psychiatric illnesses. ADH1B and ALDH2 strongly affect both consumption and dependence. Variations in many other genes affect both consumption and dependence-or one or the other of these traits-but individual effect sizes are small. Evidence for other specific genes that affect dependence is not yet strong. Most current knowledge derives from studies of European-ancestry populations, and large studies of carefully phenotyped subjects from different populations are needed to understand the genetic contributions to alcohol consumption and alcohol use disorders.
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122
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Abstract
AbstractBorsboom and colleagues argue that reductionism in psychopathology research has not provided the expected insights. Instead, they suggest a systems approach of interacting syndromes, which, however, falls short of a perspective for empirical testing. Here, a combination of both approaches is suggested: a reductionistic empirical approach allowing testability, synergistic with a constructivistic systems appraisal of syndrome networks – a constructive reductionism.
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123
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Salvatore JE, Han S, Farris SP, Mignogna KM, Miles MF, Agrawal A. Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder. Addict Biol 2019; 24:275-289. [PMID: 29316088 PMCID: PMC6037617 DOI: 10.1111/adb.12591] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Revised: 11/20/2017] [Accepted: 11/26/2017] [Indexed: 12/16/2022]
Abstract
Alcohol use disorder (AUD) is a heritable complex behavior. Due to the highly polygenic nature of AUD, identifying genetic variants that comprise this heritable variation has proved to be challenging. With the exception of functional variants in alcohol metabolizing genes (e.g. ADH1B and ALDH2), few other candidate loci have been confidently linked to AUD. Genome-wide association studies (GWAS) of AUD and other alcohol-related phenotypes have either produced few hits with genome-wide significance or have failed to replicate on further study. These issues reinforce the complex nature of the genetic underpinnings for AUD and suggest that both GWAS studies with larger samples and additional analysis approaches that better harness the nominally significant loci in existing GWAS are needed. Here, we review approaches of interest in the post-GWAS era, including in silico functional analyses; functional partitioning of single nucleotide polymorphism heritability; aggregation of signal into genes and gene networks; and validation of identified loci, genes and gene networks in postmortem brain tissue and across species. These integrative approaches hold promise to illuminate our understanding of the biological basis of AUD; however, we recognize that the main challenge continues to be the extremely polygenic nature of AUD, which necessitates large samples to identify multiple loci associated with AUD liability.
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Affiliation(s)
- Jessica E. Salvatore
- Department of Psychology; Virginia Commonwealth University; Richmond VA USA
- Virginia Institute for Psychiatric and Behavioral Genetics; Virginia Commonwealth University; Richmond VA USA
| | - Shizhong Han
- Department of Psychiatry; University of Iowa; Iowa City IA USA
- Department of Psychiatry and Behavioral Sciences; Johns Hopkins School of Medicine; Baltimore MD USA
| | - Sean P. Farris
- Waggoner Center for Alcohol and Addiction Research; The University of Texas at Austin; Austin TX USA
| | - Kristin M. Mignogna
- Virginia Institute for Psychiatric and Behavioral Genetics; Virginia Commonwealth University; Richmond VA USA
| | - Michael F. Miles
- Department of Pharmacology and Toxicology; Virginia Commonwealth University; Richmond VA USA
| | - Arpana Agrawal
- Department of Psychiatry; Washington University School of Medicine; Saint Louis MO USA
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124
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Abstract
It has been more than a dozen years since FGF21 burst on the metabolism field in a paper showing that its pharmacologic administration caused weight loss and improved insulin sensitivity and lipoprotein profiles in obese rodents. Since then, FGF21 analogs have advanced all the way to clinical trials, and much progress has been made in understanding FGF21's pharmacology and physiology. In this Perspective, we highlight some of the interesting themes that have emerged from this first dozen years of FGF21 research, including its roles in autocrine/paracrine and endocrine responses to metabolic stress.
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Affiliation(s)
- Steven A Kliewer
- Department of Pharmacology, UT Southwestern Medical Center, Dallas, TX 75390, USA; Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390, USA.
| | - David J Mangelsdorf
- Department of Pharmacology, UT Southwestern Medical Center, Dallas, TX 75390, USA; Howard Hughes Medical Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA.
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125
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Genetic loci for alcohol-related life events and substance-induced affective symptoms: indexing the "dark side" of addiction. Transl Psychiatry 2019; 9:71. [PMID: 30718457 PMCID: PMC6362044 DOI: 10.1038/s41398-019-0397-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 01/17/2019] [Indexed: 12/24/2022] Open
Abstract
A limited number of genetic variants have been identified in traditional GWAS as risk or protective factors for alcohol use disorders (AUD) and related phenotypes. We herein report whole-genome association and rare-variant analyses on AUD traits in American Indians (AI) and European Americans (EA). We evaluated 742 AIs and 1711 EAs using low-coverage whole-genome sequencing. Phenotypes included: (1) a metric based on the occurrence of 36 alcohol-related life events that reflect AUD severity; (2) two alcohol-induced affective symptoms that accompany severe AUDs. We identified two new loci for alcohol-related life events with converging evidence from both cohorts: rare variants of K2P channel gene KCNK2, and rare missense and splice-site variants in pro-inflammatory mediator gene PDE4C. A NAF1-FSTL5 intergenic variant and an FSTL5 variant were respectively associated with alcohol-related life events in AI and EA. PRKG2 of serine/threonine protein kinase family, and rare variants in interleukin subunit gene EBI3 (IL-27B) were uniquely associated with alcohol-induced affective symptoms in AI. LncRNA LINC02347 on 12q24.32 was uniquely associated with alcohol-induced depression in EA. The top GWAS findings were primarily rare/low-frequency variants in AI, and common variants in EA. Adrenal gland was the most enriched in tissue-specific gene expression analysis for alcohol-related life events, and nucleus accumbens was the most enriched for alcohol-induced affective states in AI. Prefrontal cortex was the most enriched in EA for both traits. These studies suggest that whole-genome sequencing can identify novel, especially uncommon, variants associated with severe AUD phenotypes although the findings may be population specific.
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126
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Liu M, Jiang Y, Wedow R, Li Y, Brazel DM, Chen F, Datta G, Davila-Velderrain J, McGuire D, Tian C, Zhan X, Choquet H, Docherty AR, Faul JD, Foerster JR, Fritsche LG, Gabrielsen ME, Gordon SD, Haessler J, Hottenga JJ, Huang H, Jang SK, Jansen PR, Ling Y, Mägi R, Matoba N, McMahon G, Mulas A, Orrù V, Palviainen T, Pandit A, Reginsson GW, Skogholt AH, Smith JA, Taylor AE, Turman C, Willemsen G, Young H, Young KA, Zajac GJM, Zhao W, Zhou W, Bjornsdottir G, Boardman JD, Boehnke M, Boomsma DI, Chen C, Cucca F, Davies GE, Eaton CB, Ehringer MA, Esko T, Fiorillo E, Gillespie NA, Gudbjartsson DF, Haller T, Harris KM, Heath AC, Hewitt JK, Hickie IB, Hokanson JE, Hopfer CJ, Hunter DJ, Iacono WG, Johnson EO, Kamatani Y, Kardia SLR, Keller MC, Kellis M, Kooperberg C, Kraft P, Krauter KS, Laakso M, Lind PA, Loukola A, Lutz SM, Madden PAF, Martin NG, McGue M, McQueen MB, Medland SE, Metspalu A, Mohlke KL, Nielsen JB, Okada Y, Peters U, Polderman TJC, Posthuma D, Reiner AP, Rice JP, Rimm E, Rose RJ, Runarsdottir V, Stallings MC, Stančáková A, Stefansson H, Thai KK, Tindle HA, Tyrfingsson T, Wall TL, Weir DR, Weisner C, Whitfield JB, Winsvold BS, Yin J, Zuccolo L, Bierut LJ, Hveem K, Lee JJ, Munafò MR, Saccone NL, Willer CJ, Cornelis MC, David SP, Hinds DA, Jorgenson E, Kaprio J, Stitzel JA, Stefansson K, Thorgeirsson TE, Abecasis G, Liu DJ, Vrieze S. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nat Genet 2019; 51:237-244. [PMID: 30643251 PMCID: PMC6358542 DOI: 10.1038/s41588-018-0307-5] [Citation(s) in RCA: 1123] [Impact Index Per Article: 224.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 11/06/2018] [Indexed: 12/21/2022]
Abstract
Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6-11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures.
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Affiliation(s)
- Mengzhen Liu
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Yu Jiang
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA, USA
- Institute of Personalized Medicine, College of Medicine, Pennsylvania State University, Hershey, PA, USA
| | - Robbee Wedow
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Sociology, University of Colorado Boulder, Boulder, CO, USA
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA
| | - Yue Li
- Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - David M Brazel
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
- Interdisciplinary Quantitative Biology Graduate Group, University of Colorado Boulder, Boulder, CO, USA
| | - Fang Chen
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA, USA
- Institute of Personalized Medicine, College of Medicine, Pennsylvania State University, Hershey, PA, USA
| | - Gargi Datta
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Jose Davila-Velderrain
- Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel McGuire
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA, USA
- Institute of Personalized Medicine, College of Medicine, Pennsylvania State University, Hershey, PA, USA
| | - Chao Tian
- 23andMe, Inc., Mountain View, CA, USA
| | - Xiaowei Zhan
- Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Center for the Genetics of Host Defense, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Anna R Docherty
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry and Human Genetics, University of Utah, Salt Lake City, UT, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Johanna R Foerster
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Lars G Fritsche
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Maiken Elvestad Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Scott D Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Hongyan Huang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Seon-Kyeong Jang
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Philip R Jansen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Yueh Ling
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Nana Matoba
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama City, Japan
| | - George McMahon
- Department of Population Health Science, Bristol Medical School, Oakfield Grove, Bristol, UK
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Italy
| | - Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Italy
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Anita Pandit
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | | | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Amy E Taylor
- Department of Population Health Science, Bristol Medical School, Oakfield Grove, Bristol, UK
| | - Constance Turman
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Hannah Young
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Kendra A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Gregory J M Zajac
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | | | - Jason D Boardman
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Sociology, University of Colorado Boulder, Boulder, CO, USA
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA
| | - Michael Boehnke
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Italy
| | | | - Charles B Eaton
- Department of Family Medicine and Community Health, Alpert Medical School, Brown University, Providence, RI, USA
| | - Marissa A Ehringer
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Tõnu Esko
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Monserrato, Italy
| | - Nathan A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Toomas Haller
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Kathleen Mullan Harris
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - John K Hewitt
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christian J Hopfer
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - William G Iacono
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Eric O Johnson
- Fellows Program, RTI International, Research Triangle Park, NC, USA
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama City, Japan
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kenneth S Krauter
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Markku Laakso
- Department of Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Anu Loukola
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Sharon M Lutz
- Department of Biostatistics and Bioinformatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Pamela A F Madden
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Matt McGue
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Matthew B McQueen
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jonas B Nielsen
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Yukinori Okada
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama City, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Tinca J C Polderman
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Clinical Genetics, VU Medical Centre Amsterdam, Amsterdam, the Netherlands
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - John P Rice
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Richard J Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | | | - Michael C Stallings
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Alena Stančáková
- Department of Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Khanh K Thai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Hilary A Tindle
- Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | | | - Tamara L Wall
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Constance Weisner
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Jie Yin
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Luisa Zuccolo
- Department of Population Health Science, Bristol Medical School, Oakfield Grove, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - James J Lee
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies, School of Psychological Science, University of Bristol, Bristol, UK
| | - Nancy L Saccone
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Cristen J Willer
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Marilyn C Cornelis
- Department of Preventative Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sean P David
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jerry A Stitzel
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | | | - Gonçalo Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Dajiang J Liu
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA, USA.
- Institute of Personalized Medicine, College of Medicine, Pennsylvania State University, Hershey, PA, USA.
| | - Scott Vrieze
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA.
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Sanchez-Roige S, Palmer AA, Fontanillas P, Elson SL, Adams MJ, Howard DM, Edenberg HJ, Davies G, Crist RC, Deary IJ, McIntosh AM, Clarke TK. Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts. Am J Psychiatry 2019; 176:107-118. [PMID: 30336701 PMCID: PMC6365681 DOI: 10.1176/appi.ajp.2018.18040369] [Citation(s) in RCA: 243] [Impact Index Per Article: 48.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Alcohol use disorders are common conditions that have enormous social and economic consequences. Genome-wide association analyses were performed to identify genetic variants associated with a proxy measure of alcohol consumption and alcohol misuse and to explore the shared genetic basis between these measures and other substance use, psychiatric, and behavioral traits. METHOD This study used quantitative measures from the Alcohol Use Disorders Identification Test (AUDIT) from two population-based cohorts of European ancestry (UK Biobank [N=121,604] and 23andMe [N=20,328]) and performed a genome-wide association study (GWAS) meta-analysis. Two additional GWAS analyses were performed, a GWAS for AUDIT scores on items 1-3, which focus on consumption (AUDIT-C), and for scores on items 4-10, which focus on the problematic consequences of drinking (AUDIT-P). RESULTS The GWAS meta-analysis of AUDIT total score identified 10 associated risk loci. Novel associations localized to genes including JCAD and SLC39A13; this study also replicated previously identified signals in the genes ADH1B, ADH1C, KLB, and GCKR. The dimensions of AUDIT showed positive genetic correlations with alcohol consumption (rg=0.76-0.92) and DSM-IV alcohol dependence (rg=0.33-0.63). AUDIT-P and AUDIT-C scores showed significantly different patterns of association across a number of traits, including psychiatric disorders. AUDIT-P score was significantly positively genetically correlated with schizophrenia (rg=0.22), major depressive disorder (rg=0.26), and attention deficit hyperactivity disorder (rg=0.23), whereas AUDIT-C score was significantly negatively genetically correlated with major depressive disorder (rg=-0.24) and ADHD (rg=-0.10). This study also used the AUDIT data in the UK Biobank to identify thresholds for dichotomizing AUDIT total score that optimize genetic correlations with DSM-IV alcohol dependence. Coding individuals with AUDIT total scores ≤4 as control subjects and those with scores ≥12 as case subjects produced a significant high genetic correlation with DSM-IV alcohol dependence (rg=0.82) while retaining most subjects. CONCLUSIONS AUDIT scores ascertained in population-based cohorts can be used to explore the genetic basis of both alcohol consumption and alcohol use disorders.
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Affiliation(s)
- Sandra Sanchez-Roige
- Department of Psychiatry, University of California San
Diego, La Jolla, CA, 92093, USA
| | - Abraham A. Palmer
- Department of Psychiatry, University of California San
Diego, La Jolla, CA, 92093, USA
- Institute for Genomic Medicine, University of California
San Diego, La Jolla, CA, USA
| | - Pierre Fontanillas
- Collaborator List for the 23andMe Research Team: Michelle
Agee, Babak Alipanahi, Adam Auton, Robert K. Bell, Katarzyna Bryc, Sarah L. Elson,
Pierre Fontanillas, Nicholas A. Furlotte, David A. Hinds, Karen E. Huber, Aaron
Kleinman, Nadia K. Litterman, Jennifer C. McCreight, Matthew H. McIntyre, Joanna L.
Mountain, Elizabeth S. Noblin, Carrie A.M. Northover, Steven J. Pitts, J. Fah
Sathirapongsasuti, Olga V. Sazonova, Janie F. Shelton, Suyash Shringarpure, Chao
Tian, Joyce Y. Tung, Vladimir Vacic, and Catherine H. Wilson
| | - Sarah L. Elson
- Collaborator List for the 23andMe Research Team: Michelle
Agee, Babak Alipanahi, Adam Auton, Robert K. Bell, Katarzyna Bryc, Sarah L. Elson,
Pierre Fontanillas, Nicholas A. Furlotte, David A. Hinds, Karen E. Huber, Aaron
Kleinman, Nadia K. Litterman, Jennifer C. McCreight, Matthew H. McIntyre, Joanna L.
Mountain, Elizabeth S. Noblin, Carrie A.M. Northover, Steven J. Pitts, J. Fah
Sathirapongsasuti, Olga V. Sazonova, Janie F. Shelton, Suyash Shringarpure, Chao
Tian, Joyce Y. Tung, Vladimir Vacic, and Catherine H. Wilson
| | - The 23andMe Research Team
- Collaborator List for the 23andMe Research Team: Michelle
Agee, Babak Alipanahi, Adam Auton, Robert K. Bell, Katarzyna Bryc, Sarah L. Elson,
Pierre Fontanillas, Nicholas A. Furlotte, David A. Hinds, Karen E. Huber, Aaron
Kleinman, Nadia K. Litterman, Jennifer C. McCreight, Matthew H. McIntyre, Joanna L.
Mountain, Elizabeth S. Noblin, Carrie A.M. Northover, Steven J. Pitts, J. Fah
Sathirapongsasuti, Olga V. Sazonova, Janie F. Shelton, Suyash Shringarpure, Chao
Tian, Joyce Y. Tung, Vladimir Vacic, and Catherine H. Wilson
| | | | - Mark J. Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh,
UK
| | - David M. Howard
- Division of Psychiatry, University of Edinburgh, Edinburgh,
UK
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana
University School of Medicine, Indianapolis, IN, USA
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology,
University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh,
Edinburgh, UK
| | - Richard C. Crist
- Translational Research Laboratories, Center for
Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania
Perelman School of Medicine, Philadelphia, PA, USA
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology,
University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh,
Edinburgh, UK
| | - Andrew M. McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh,
UK
- Centre for Cognitive Ageing and Cognitive Epidemiology,
University of Edinburgh, Edinburgh, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh,
UK
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Luo Y, Ye S, Li X, Lu W. Emerging Structure-Function Paradigm of Endocrine FGFs in Metabolic Diseases. Trends Pharmacol Sci 2019; 40:142-153. [PMID: 30616873 DOI: 10.1016/j.tips.2018.12.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 11/08/2018] [Accepted: 12/04/2018] [Indexed: 12/12/2022]
Abstract
Endocrine fibroblast growth factors (eFGFs) control pathways that are crucial for maintaining metabolic homeostasis of lipids, glucose, energy, bile acids, and minerals. Unlike the heparin-binding paracrine FGFs, eFGFs require a unique Klotho family protein to form a productive triad complex, but the structural and mechanistical details of this complex have remained obscure since the beginning of the eFGF field. However, recent breakthroughs in resolving the 3D structures of eFGF signaling complexes have now unveiled the atomic details of multivalent interactions among eFGF, FGFR, and Klotho. We provide here a timely review on the architecture and the structure-function relationships of these complexes, and highlight how the structural knowledge opens a new door to structure-based drug design against a repertoire of eFGF-associated metabolic diseases.
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Affiliation(s)
- Yongde Luo
- School of Pharmaceutical Science, Wenzhou Medical University, Center for Cancer and Metabolism Research, Institute for Life Science, Wenzhou University, Wenzhou, Zhejiang 325000, China; Proteomics and Nanotechnology Laboratory, Center for Cancer and Stem Cell Biology, Institute of Biosciences and Technology, Texas A&M University Health Science Center, Houston, TX 77030, USA; Current address: Centeer BioTherapeutics Ltd Co., Houston, TX 77021, USA.
| | - Sheng Ye
- School of Life Science, Tianjin University, Tianjin 300072, China; Life Sciences Institute and Innovation Center for Cell Signaling Network, Zhejiang University, Huangzhou, Zhejiang 310058, China.
| | - Xiaokun Li
- School of Pharmaceutical Science, Wenzhou Medical University, Center for Cancer and Metabolism Research, Institute for Life Science, Wenzhou University, Wenzhou, Zhejiang 325000, China.
| | - Weiqin Lu
- Division of Gastroenterology and Hepatology, Department of Medicine, Stony Brook University School of Medicine, 101 Nicolls Road, Stony Brook, NY 11794, USA.
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Sanchez-Roige S, Fontanillas P, Elson SL, Gray JC, de Wit H, Davis LK, MacKillop J, Palmer AA. Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry. Addict Biol 2019; 24:121-131. [PMID: 29058377 PMCID: PMC6988186 DOI: 10.1111/adb.12574] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 09/11/2017] [Accepted: 09/25/2017] [Indexed: 12/26/2022]
Abstract
Genetic factors contribute to the risk for developing alcohol use disorder (AUD). In collaboration with the genetics company 23andMe, Inc., we performed a genome-wide association study of the alcohol use disorder identification test (AUDIT), an instrument designed to screen for alcohol misuse over the past year. Our final sample consisted of 20 328 research participants of European ancestry (55.3% females; mean age = 53.8, SD = 16.1) who reported ever using alcohol. Our results showed that the 'chip-heritability' of AUDIT score, when treated as a continuous phenotype, was 12%. No loci reached genome-wide significance. The gene ADH1C, which has been previously implicated in AUD, was among our most significant associations (4.4 × 10-7 ; rs141973904). We also detected a suggestive association on chromosome 1 (2.1 × 10-7 ; rs182344113) near the gene KCNJ9, which has been implicated in mouse models of high ethanol drinking. Using linkage disequilibrium score regression, we identified positive genetic correlations between AUDIT score, high alcohol consumption and cigarette smoking. We also observed an unexpected positive genetic correlation between AUDIT and educational attainment and additional unexpected negative correlations with body mass index/obesity and attention-deficit/hyperactivity disorder. We conclude that conducting a genetic study using responses to an online questionnaire in a population not ascertained for AUD may represent a cost-effective strategy for elucidating aspects of the etiology of AUD.
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Affiliation(s)
- Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
| | | | | | | | - Joshua C. Gray
- Center for Deployment Psychology, Uniformed Services University, Bethesda, MD, 20814
| | - Harriet de Wit
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL 60637, USA
| | - Lea K. Davis
- Vanderbilt Genetics Institute; Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - James MacKillop
- Peter Boris Centre for Addictions Research, McMaster University/St. Joseph’s Healthcare Hamilton, Hamilton, ON L8N 3K7, Canada; Homewood Research Institute, Guelph, ON N1E 6K9, Canada
| | - Abraham A. Palmer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
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130
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Jurado-Fasoli L, Amaro-Gahete FJ, De-la-O A, Gutiérrez Á, Castillo MJ. Alcohol consumption and S-Klotho plasma levels in sedentary healthy middle-aged adults: A cross sectional study. Drug Alcohol Depend 2019; 194:107-111. [PMID: 30419404 DOI: 10.1016/j.drugalcdep.2018.09.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 09/10/2018] [Accepted: 09/21/2018] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Alcohol consumption is related to several diseases and injuries that accelerate the ageing process and increase the mortality and morbidity risk. The soluble form of the α-Klotho gene (called S-Klotho) is widely considered as a powerful anti-ageing biomarker. AIM The aim of the present study was to analyze the association between alcohol consumption and S-Klotho plasma levels in sedentary middle-aged adults. METHODS 74 (39 women) middle-aged sedentary adults (40-65 years old) participated in the present study. Alcohol consumption was assessed with a food frequency questionnaire previously validated and with three non-consecutive 24-hours recall. The S-Klotho plasma levels were measured by ELISA using a soluble α-Klotho ELISA assay kit. RESULTS Total alcoholic drinks consumption was negatively associated with S-Klotho plasma levels (β=-17.031; R2 = 0.096, P = 0.013). Furthermore, we observed that higher consumption of total alcoholic drinks is associated with lower S-Klotho plasma levels in middle-aged sedentary adults controlling for BMI (β=-16.372; R2 = 0.201, P = 0.011), LMI (β=-31.854; R2 = 0.305, P = 0.010) and for FMI β=-13.337; R2 = 0.075, P = 0.049). CONCLUSION In conclusion, our study shows that total alcoholic drinks consumption is negatively associated with the S-Klotho plasma levels in middle-aged sedentary adults.
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Affiliation(s)
- Lucas Jurado-Fasoli
- Department of Medical Physiology, School of Medicine, University of Granada, Spain.
| | - Francisco J Amaro-Gahete
- Department of Medical Physiology, School of Medicine, University of Granada, Spain; PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Spain
| | - Alejandro De-la-O
- Department of Medical Physiology, School of Medicine, University of Granada, Spain
| | - Ángel Gutiérrez
- Department of Medical Physiology, School of Medicine, University of Granada, Spain
| | - Manuel J Castillo
- Department of Medical Physiology, School of Medicine, University of Granada, Spain.
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131
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Bach P, Zois E, Vollstädt-Klein S, Kirsch M, Hoffmann S, Jorde A, Frank J, Charlet K, Treutlein J, Beck A, Heinz A, Walter H, Rietschel M, Kiefer F. Association of the alcohol dehydrogenase gene polymorphism rs1789891 with gray matter brain volume, alcohol consumption, alcohol craving and relapse risk. Addict Biol 2019; 24:110-120. [PMID: 29058369 DOI: 10.1111/adb.12571] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Revised: 07/27/2017] [Accepted: 09/12/2017] [Indexed: 11/27/2022]
Abstract
Alcohol metabolizing enzymes, such as the alcohol dehydrogenases and the aldehyde dehydrogenases, regulate the levels of acetaldehyde in the blood and play an important role in the development and maintenance of alcohol addiction. Recent genome-wide systematic searches found associations between a single nucleotide polymorphism (rs1789891, risk allele: A, protective allele: C) in the alcohol dehydrogenase gene cluster and the risk of alcohol dependence. The current study investigated the effect of this single nucleotide polymorphism on alcohol consumption, craving for alcohol, relapse risk and brain gray matter volume. Alcohol-dependent patients (n = 74) and controls (n = 43) were screened, genotyped and underwent magnetic resonance imaging scanning, and relapse data were collected during 3 months following the experiment. Alcohol-dependent A allele carriers reported increased alcohol craving and higher alcohol consumption compared with the group of alcohol-dependent individuals homozygous for the C allele, which displayed craving values similar to the control group. Further, follow-up data indicated that A allele carriers relapsed earlier to heavy drinking compared with individuals with two C alleles. Analyses of gray matter volume indicated a significant genotype difference in the patient group: individuals with two C alleles had reduced gray matter volume in the left and right superior, middle and inferior temporal gyri. Findings of the current study further support the relevance of genetic variants in alcohol metabolizing enzymes to addictive behavior, brain tissue volume and relapse risk. Genotype-dependent differences in acetaldehyde formation, implicated by earlier studies, might be the biological substrate of the genotype differences.
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Affiliation(s)
- Patrick Bach
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Evangelos Zois
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Sabine Vollstädt-Klein
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Martina Kirsch
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Sabine Hoffmann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Anne Jorde
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Katrin Charlet
- Department of Psychiatry and Psychotherapy; Charité-Universitätsmedizin Berlin; Germany
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Anne Beck
- Department of Psychiatry and Psychotherapy; Charité-Universitätsmedizin Berlin; Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy; Charité-Universitätsmedizin Berlin; Germany
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy; Charité-Universitätsmedizin Berlin; Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Germany
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Edenberg HJ, McClintick JN. Alcohol Dehydrogenases, Aldehyde Dehydrogenases, and Alcohol Use Disorders: A Critical Review. Alcohol Clin Exp Res 2018; 42:2281-2297. [PMID: 30320893 PMCID: PMC6286250 DOI: 10.1111/acer.13904] [Citation(s) in RCA: 146] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 10/07/2018] [Indexed: 12/20/2022]
Abstract
Alcohol use disorders (AUDs) are complex traits, meaning that variations in many genes contribute to the risk, as does the environment. Although the total genetic contribution to risk is substantial, most individual variations make only very small contributions. By far the strongest contributors are functional variations in 2 genes involved in alcohol (ethanol [EtOH]) metabolism. A functional variant in alcohol dehydrogenase 1B (ADH1B) is protective in people of European and Asian descent, and a different functional variant in the same gene is protective in those of African descent. A strongly protective variant in aldehyde dehydrogenase 2 (ALDH2) is essentially only found in Asians. This highlights the need to study a wide range of populations. The likely mechanism of protection against heavy drinking and AUDs in both cases is alteration in the rate of metabolism of EtOH that at least transiently elevates acetaldehyde. Other ADH and ALDH variants, including functional variations in ADH1C, have also been implicated in affecting drinking behavior and risk for alcoholism. The pattern of linkage disequilibrium in the ADH region and the differences among populations complicate analyses, particularly of regulatory variants. This critical review focuses upon the ADH and ALDH genes as they affect AUDs.
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Affiliation(s)
- Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Jeanette N. McClintick
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
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Walters RK, Polimanti R, Johnson EC, McClintick JN, Adams MJ, Adkins AE, Aliev F, Bacanu SA, Batzler A, Bertelsen S, Biernacka JM, Bigdeli TB, Chen LS, Clarke TK, Chou YL, Degenhardt F, Docherty AR, Edwards AC, Fontanillas P, Foo JC, Fox L, Frank J, Giegling I, Gordon S, Hack LM, Hartmann AM, Hartz SM, Heilmann-Heimbach S, Herms S, Hodgkinson C, Hoffmann P, Jan Hottenga J, Kennedy MA, Alanne-Kinnunen M, Konte B, Lahti J, Lahti-Pulkkinen M, Lai D, Ligthart L, Loukola A, Maher BS, Mbarek H, McIntosh AM, McQueen MB, Meyers JL, Milaneschi Y, Palviainen T, Pearson JF, Peterson RE, Ripatti S, Ryu E, Saccone NL, Salvatore JE, Sanchez-Roige S, Schwandt M, Sherva R, Streit F, Strohmaier J, Thomas N, Wang JC, Webb BT, Wedow R, Wetherill L, Wills AG, Boardman JD, Chen D, Choi DS, Copeland WE, Culverhouse RC, Dahmen N, Degenhardt L, Domingue BW, Elson SL, Frye MA, Gäbel W, Hayward C, Ising M, Keyes M, Kiefer F, Kramer J, Kuperman S, Lucae S, Lynskey MT, Maier W, Mann K, Männistö S, Müller-Myhsok B, Murray AD, Nurnberger JI, Palotie A, Preuss U, Räikkönen K, Reynolds MD, Ridinger M, Scherbaum N, Schuckit MA, Soyka M, Treutlein J, Witt S, Wodarz N, Zill P, Adkins DE, Boden JM, Boomsma DI, Bierut LJ, Brown SA, Bucholz KK, Cichon S, Costello EJ, de Wit H, Diazgranados N, Dick DM, Eriksson JG, Farrer LA, Foroud TM, Gillespie NA, Goate AM, Goldman D, Grucza RA, Hancock DB, Harris KM, Heath AC, Hesselbrock V, Hewitt JK, Hopfer CJ, Horwood J, Iacono W, Johnson EO, Kaprio JA, Karpyak VM, Kendler KS, Kranzler HR, Krauter K, Lichtenstein P, Lind PA, McGue M, MacKillop J, Madden PAF, Maes HH, Magnusson P, Martin NG, Medland SE, Montgomery GW, Nelson EC, Nöthen MM, Palmer AA, Pedersen NL, Penninx BWJH, Porjesz B, Rice JP, Rietschel M, Riley BP, Rose R, Rujescu D, Shen PH, Silberg J, Stallings MC, Tarter RE, Vanyukov MM, Vrieze S, Wall TL, Whitfield JB, Zhao H, Neale BM, Gelernter J, Edenberg HJ, Agrawal A. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci 2018; 21:1656-1669. [PMID: 30482948 PMCID: PMC6430207 DOI: 10.1038/s41593-018-0275-1] [Citation(s) in RCA: 403] [Impact Index Per Article: 67.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 10/12/2018] [Indexed: 01/21/2023]
Abstract
Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 × 10-13) and African ancestries (rs2066702; P = 2.2 × 10-9). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.
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Affiliation(s)
- Raymond K Walters
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Emma C Johnson
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Jeanette N McClintick
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Mark J Adams
- University of Edinburgh, Division of Psychiatry, Edinburgh, UK
| | - Amy E Adkins
- Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, USA
| | - Fazil Aliev
- Virginia Commonwealth University, Department of Psychology, Richmond, VA, USA
| | - Silviu-Alin Bacanu
- Virginia Commonwealth University Alcohol Research Center; Virginia Institute for Psychiatric and Behavioral Genetics; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Anthony Batzler
- Mayo Clinic, Psychiatric Genomics and Pharmacogenomics Program, Rochester, MN, USA
| | - Sarah Bertelsen
- Icahn School of Medicine at Mount Sinai, Department of Neuroscience, New York, NY, USA
| | - Joanna M Biernacka
- Mayo Clinic, Department of Health Sciences Research, and Department of Psychiatry and Psychology, Rochester, MN, USA
| | - Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Li-Shiun Chen
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Toni-Kim Clarke
- University of Edinburgh, Division of Psychiatry, Edinburgh, UK
| | - Yi-Ling Chou
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn; and Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Anna R Docherty
- University of Utah, Department of Psychiatry, Salt Lake City, UT, USA
| | - Alexis C Edwards
- Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Richmond, VA, USA
| | | | - Jerome C Foo
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Louis Fox
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ina Giegling
- Martin-Luther-University Halle-Wittenberg, Department of Psychiatry, Psychotherapy and Psychosomatics, Halle, Germany
| | - Scott Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Laura M Hack
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Annette M Hartmann
- Martin-Luther-University Halle-Wittenberg, Department of Psychiatry, Psychotherapy and Psychosomatics, Halle, Germany
| | - Sarah M Hartz
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn; and Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn; and Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | | | - Per Hoffmann
- Institute of Human Genetics, University of Bonn; and Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Jouke Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Mervi Alanne-Kinnunen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Bettina Konte
- Martin-Luther-University Halle-Wittenberg, Department of Psychiatry, Psychotherapy and Psychosomatics, Halle, Germany
| | - Jari Lahti
- Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | | | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Lannie Ligthart
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Anu Loukola
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Brion S Maher
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hamdi Mbarek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Andrew M McIntosh
- University of Edinburgh, Division of Psychiatry, Centre for Cognitive Ageing and Cognitive Epidemiology, Edinburgh, UK
| | - Matthew B McQueen
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center/GGz inGeest, Amsterdam, The Netherlands
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - John F Pearson
- Biostatistics and Computational Biology Unit, University of Otago, Christchurch, New Zealand
| | - Roseann E Peterson
- Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Richmond, VA, USA
| | - Samuli Ripatti
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Euijung Ryu
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
| | - Nancy L Saccone
- Washington University School of Medicine, Department of Genetics, St. Louis, MO, USA
| | - Jessica E Salvatore
- Virginia Commonwealth University, Department of Psychology, Richmond, VA, USA
- Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Richmond, VA, USA
| | - Sandra Sanchez-Roige
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA
| | | | - Richard Sherva
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jana Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Nathaniel Thomas
- Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, USA
| | - Jen-Chyong Wang
- Icahn School of Medicine at Mount Sinai, Department of Neuroscience, New York, NY, USA
| | - Bradley T Webb
- Virginia Commonwealth University Alcohol Research Center; Virginia Institute for Psychiatric and Behavioral Genetics; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Robbee Wedow
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Sociology, Harvard University, Cambridge, MA, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Amanda G Wills
- University of Colorado School of Medicine, Department of Pharmacology, Aurora, CO, USA
| | - Jason D Boardman
- Institute of Behavioral Science and Department of Sociology, University of Colorado, Boulder, CO, USA
| | - Danfeng Chen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Doo-Sup Choi
- Mayo Clinic, Department of Molecular Pharmacology and Experimental Therapeutics, Rochester, MN, USA
| | - William E Copeland
- Duke University Medical Center, Department of Psychiatry and Behavioral Sciences, Durham, NC, USA
| | - Robert C Culverhouse
- Washington University School of Medicine, Department of Medicine and Division of Biostatistics, St. Louis, MO, USA
| | - Norbert Dahmen
- Department of Psychiatry, University of Mainz, Mainz, Germany
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, New South Wales, Australia
| | | | | | - Mark A Frye
- Mayo Clinic, Department of Psychiatry and Psychology, Rochester, MN, USA
| | - Wolfgang Gäbel
- Department of Psychiatry and Psychotherapy, University of Düsseldorf, Düsseldorf, Germany
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Marcus Ising
- Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Margaret Keyes
- University of Minnesota, Department of Psychology, Minneapolis, MN, USA
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - John Kramer
- University of Iowa Roy J and Lucille A Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
| | - Samuel Kuperman
- University of Iowa Roy J and Lucille A Carver College of Medicine, Department of Psychiatry, Iowa City, IA, USA
| | | | - Michael T Lynskey
- Addictions Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Wolfgang Maier
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - Karl Mann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | | | - Bertram Müller-Myhsok
- Department of Statistical Genetics, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Alison D Murray
- The Institute of Medical Sciences, Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Aarno Palotie
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Medicine, Department of Neurology and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Ulrich Preuss
- Martin-Luther-University Halle-Wittenberg, Department of Psychiatry, Psychotherapy and Psychosomatics, Halle, Germany
- Vitos Hospital Herborn, Department of Psychiatry and Psychotherapy, Herborn, Germany
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | | | - Monika Ridinger
- Department of Psychiatry and Psychotherapy, University of Regensburg Psychiatric Health Care Aargau, Regensburg, Germany
| | - Norbert Scherbaum
- LVR-Hospital Essen, Department of Psychiatry and Psychotherapy, Department of Addictive Behaviour and Addiction Medicine, Medical Faculty, University of Duisburg-Essen, Duisburg, Germany
| | - Marc A Schuckit
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA
| | - Michael Soyka
- Medical Park Chiemseeblick in Bernau-Felden, Chiemsee, Germany
- Psychiatric Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Norbert Wodarz
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Peter Zill
- Psychiatric Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Daniel E Adkins
- University of Utah, Department of Psychiatry, Salt Lake City, UT, USA
- University of Utah, Department of Sociology, Salt Lake City, UT, USA
| | | | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Laura J Bierut
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Sandra A Brown
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA
- University of California, San Diego School of Medicine, Department of Psychology, San Diego, CA, USA
| | - Kathleen K Bucholz
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Sven Cichon
- Human Genomics Research Group, Department of Biomedicine, University of Basel Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - E Jane Costello
- Duke University Medical Center, Department of Psychiatry and Behavioral Sciences, Durham, NC, USA
| | | | | | - Danielle M Dick
- Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human & Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, and National Institute for Health and Welfare, Helsinki, Finland
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
- Departments of Neurology, Ophthalmology, Epidemiology, and Biostatistics, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nathan A Gillespie
- Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Richmond, VA, USA
| | - Alison M Goate
- Icahn School of Medicine at Mount Sinai, Department of Neuroscience, New York, NY, USA
| | - David Goldman
- NIH/NIAAA, Laboratory of Neurogenetics, Bethesda, MD, USA
- NIH/NIAAA, Office of the Clinical Director, Bethesda, MD, USA
| | - Richard A Grucza
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Dana B Hancock
- Center for Omics Discovery and Epidemiology, Behavioral Health Research Division, RTI International, Research Triangle Park, NC, USA
| | - Kathleen Mullan Harris
- Department of Sociology and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew C Heath
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Victor Hesselbrock
- University of Connecticut School of Medicine, Department of Psychiatry, Farmington, CT, USA
| | - John K Hewitt
- University of Colorado Boulder, Institute for Behavioral Genetics, Boulder, CO, USA
| | | | | | - William Iacono
- University of Minnesota, Department of Psychology, Minneapolis, MN, USA
| | - Eric O Johnson
- RTI International, Fellows Program, Research Triangle Park, NC, USA
| | - Jaakko A Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Victor M Karpyak
- Mayo Clinic, Department of Psychiatry and Psychology, Rochester, MN, USA
| | - Kenneth S Kendler
- Virginia Commonwealth University Alcohol Research Center; Virginia Institute for Psychiatric and Behavioral Genetics; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Henry R Kranzler
- University of Pennsylvania Perelman School of Medicine, Center for Studies of Addiction, Department of Psychiatry and VISN 4 MIRECC, Crescenz VAMC, Philadelphia, PA, USA
| | - Kenneth Krauter
- University of Colorado Boulder, Department of Molecular, Cellular, and Developmental Biology, Boulder, CO, USA
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Instituet, Stockholm, Sweden
| | - Penelope A Lind
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Matt McGue
- University of Minnesota, Department of Psychology, Minneapolis, MN, USA
| | - James MacKillop
- Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton; Michael G. DeGroote Centre for Medicinal Cannabis Research, Hamilton, Ontario, Canada
| | - Pamela A F Madden
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Hermine H Maes
- Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA
| | - Patrik Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Instituet, Stockholm, Sweden
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Grant W Montgomery
- The Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Elliot C Nelson
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Abraham A Palmer
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA
- University of California San Diego, Institute for Genomic Medicine, San Diego, CA, USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Instituet, Stockholm, Sweden
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center/GGz inGeest, Amsterdam, The Netherlands
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - John P Rice
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Brien P Riley
- Virginia Commonwealth University Alcohol Research Center; Virginia Institute for Psychiatric and Behavioral Genetics; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Richard Rose
- Department of Psychological & Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA
| | - Dan Rujescu
- Martin-Luther-University Halle-Wittenberg, Department of Psychiatry, Psychotherapy and Psychosomatics, Halle, Germany
| | - Pei-Hong Shen
- NIH/NIAAA, Laboratory of Neurogenetics, Bethesda, MD, USA
| | - Judy Silberg
- Virginia Commonwealth University, Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Richmond, VA, USA
| | - Michael C Stallings
- University of Colorado Boulder, Institute for Behavioral Genetics, Boulder, CO, USA
| | - Ralph E Tarter
- University of Pittsburgh, School of Pharmacy, Pittsburgh, PA, USA
| | | | - Scott Vrieze
- University of Minnesota, Department of Psychology, Minneapolis, MN, USA
| | - Tamara L Wall
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA
| | - John B Whitfield
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joel Gelernter
- Departments of Psychiatry, Genetics, and Neuroscience, Yale University School of Medicine, Veterans Affairs Connecticut Healthcare System, New Haven, CT, USA.
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Arpana Agrawal
- Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.
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Edwards AC, Deak JD, Gizer IR, Lai D, Chatzinakos C, Wilhelmsen KP, Lindsay J, Heron J, Hickman M, Webb BT, Bacanu SA, Foroud TM, Kendler KS, Dick DM, Schuckit MA. Meta-Analysis of Genetic Influences on Initial Alcohol Sensitivity. Alcohol Clin Exp Res 2018; 42:2349-2359. [PMID: 30276832 PMCID: PMC6286211 DOI: 10.1111/acer.13896] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 09/25/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND Previous studies indicate that low initial sensitivity to alcohol may be a risk factor for later alcohol misuse. Evidence suggests that initial sensitivity is influenced by genetic factors, but few molecular genetic studies have been reported. METHODS We conducted a meta-analysis of 2 population-based genome-wide association studies of the Self-Rating of the Effects of Alcohol scale. Our final sample consisted of 7,339 individuals (82.3% of European descent; 59.2% female) who reported having used alcohol at least 5 times. In addition, we estimated single nucleotide polymorphism (SNP)-based heritability and conducted a series of secondary aggregate genetic analyses. RESULTS No individual locus reached genome-wide significance. Gene and set based analyses, both overall and using tissue-specific expression data, yielded largely null results, and genes previously implicated in alcohol problems and consumption were overall not associated with initial sensitivity. Only 1 gene set, related to hormone signaling and including core clock genes, survived correction for multiple testing. A meta-analysis of SNP-based heritability resulted in a modest estimate of h SNP 2 = 0.19 (SE = 0.10), though this was driven by 1 sample (N = 3,683, h SNP 2 = 0.36, SE = 0.14, p = 0.04). No significant genetic correlations with other relevant outcomes were observed. CONCLUSIONS Findings yielded only modest support for a genetic component underlying initial alcohol sensitivity. Results suggest that its biological underpinnings may diverge somewhat from that of other alcohol outcomes and may be related to core clock genes or other aspects of hormone signaling. Larger samples, ideally of prospectively assessed samples, are likely necessary to improve gene identification efforts and confirm the current findings.
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Affiliation(s)
- Alexis C. Edwards
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, US
| | - Joseph D. Deak
- Department of Psychological Sciences, University of Missouri, Columbia, MO, US
| | - Ian R. Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO, US
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, US
| | - Chris Chatzinakos
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, US
| | - Kirk P. Wilhelmsen
- Departments of Neurology and Genetics, University of North Carolina, Chapel Hill, NC, US
| | - Jonathan Lindsay
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA, US
| | - Jon Heron
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Matthew Hickman
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Bradley T. Webb
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, US
| | - Silviu-Alin Bacanu
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, US
| | - Tatiana M. Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, US
| | - Kenneth S. Kendler
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, US
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, US
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, US
- College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, US
| | - Marc A. Schuckit
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, US
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135
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Clark SL, Costin BN, Chan RF, Johnson AW, Xie L, Jurmain JL, Kumar G, Shabalin AA, Pandey AK, Aberg KA, Miles MF, van den Oord E. 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. Alcohol Clin Exp Res 2018; 42:2360-2368. [PMID: 30320886 DOI: 10.1111/acer.13905] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 10/06/2018] [Indexed: 01/04/2023]
Abstract
BACKGROUND Recent reviews have highlighted the potential use of blood-based methylation biomarkers as diagnostic and prognostic tools of current and future alcohol use and addiction. Due to the substantial overlap that often exists between methylation patterns across different tissues, including blood and brain, blood-based methylation may track methylation changes in brain; however, little work has explored the overlap in alcohol-related methylation in these tissues. METHODS To study the effects of alcohol on the brain methylome and identify possible biomarkers of these changes in blood, we performed a methylome-wide association study in brain and blood from 40 male DBA/2J mice that received either an acute ethanol (EtOH) or saline intraperitoneal injection. To investigate all 22 million CpGs in the mouse genome, we enriched for the methylated genomic fraction using methyl-CpG binding domain (MBD) protein capture followed by next-generation sequencing (MBD-seq). We performed association tests in blood and brain separately followed by enrichment testing to determine whether there was overlapping alcohol-related methylation in the 2 tissues. RESULTS The top result for brain was a CpG located in an intron of Ttc39b (p = 5.65 × 10-08 ), and for blood, the top result was located in Espnl (p = 5.11 × 10-08 ). Analyses implicated pathways involved in inflammation and neuronal differentiation, such as CXCR4, IL-7, and Wnt signaling. Enrichment tests indicated significant overlap among the top results in brain and blood. Pathway analyses of the overlapping genes converge on MAPKinase signaling (p = 5.6 × 10-05 ) which plays a central role in acute and chronic responses to alcohol and glutamate receptor pathways, which can regulate neuroplastic changes underlying addictive behavior. CONCLUSIONS Overall, we have shown some methylation changes in brain and blood after acute EtOH administration and that the changes in blood partly mirror the changes in brain suggesting the potential for DNA methylation in blood to be biomarkers of alcohol use.
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Affiliation(s)
- Shaunna L Clark
- Department of Psychology , Michigan State University, East Lansing, Michigan.,Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University, Richmond, Virginia
| | - Blair N Costin
- Department of Pharmacology and Toxicology , Virginia Commonwealth University, Richmond, Virginia
| | - Robin F Chan
- Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University, Richmond, Virginia
| | - Alexander W Johnson
- Department of Psychology , Michigan State University, East Lansing, Michigan
| | - Linying Xie
- Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University, Richmond, Virginia
| | - Jessica L Jurmain
- Department of Pharmacology and Toxicology , Virginia Commonwealth University, Richmond, Virginia
| | - Gaurav Kumar
- Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University, Richmond, Virginia
| | - Andrey A Shabalin
- Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University, Richmond, Virginia
| | - Ashutosh K Pandey
- Department of Anatomy and Neurobiology , Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Karolina A Aberg
- Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University, Richmond, Virginia
| | - Michael F Miles
- Department of Pharmacology and Toxicology , Virginia Commonwealth University, Richmond, Virginia
| | - Edwin van den Oord
- Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University, Richmond, Virginia
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136
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Farris SP, Riley BP, Williams RW, Mulligan MK, Miles MF, Lopez MF, Hitzemann R, Iancu OD, Colville A, Walter NAR, Darakjian P, Oberbeck DL, Daunais JB, Zheng CL, Searles RP, McWeeney SK, Grant KA, Mayfield RD. Cross-species molecular dissection across alcohol behavioral domains. Alcohol 2018; 72:19-31. [PMID: 30213503 PMCID: PMC6309876 DOI: 10.1016/j.alcohol.2017.11.036] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Revised: 11/17/2017] [Accepted: 11/28/2017] [Indexed: 12/14/2022]
Abstract
This review summarizes the proceedings of a symposium presented at the "Alcoholism and Stress: A Framework for Future Treatment Strategies" conference held in Volterra, Italy on May 9-12, 2017. Psychiatric diseases, including alcohol-use disorders (AUDs), are influenced through complex interactions of genes, neurobiological pathways, and environmental influences. A better understanding of the common neurobiological mechanisms underlying an AUD necessitates an integrative approach, involving a systematic assessment of diverse species and phenotype measures. As part of the World Congress on Stress and Alcoholism, this symposium provided a detailed account of current strategies to identify mechanisms underlying the development and progression of AUDs. Dr. Sean Farris discussed the integration and organization of transcriptome and postmortem human brain data to identify brain regional- and cell type-specific differences related to excessive alcohol consumption that are conserved across species. Dr. Brien Riley presented the results of a genome-wide association study of DSM-IV alcohol dependence; although replication of genetic associations with alcohol phenotypes in humans remains challenging, model organism studies show that COL6A3, KLF12, and RYR3 affect behavioral responses to ethanol, and provide substantial evidence for their role in human alcohol-related traits. Dr. Rob Williams expanded upon the systematic characterization of extensive genetic-genomic resources for quantifying and clarifying phenotypes across species that are relevant to precision medicine in human disease. The symposium concluded with Dr. Robert Hitzemann's description of transcriptome studies in a mouse model selectively bred for high alcohol ("binge-like") consumption and a non-human primate model of long-term alcohol consumption. Together, the different components of this session provided an overview of systems-based approaches that are pioneering the experimental prioritization and validation of novel genes and gene networks linked with a range of behavioral phenotypes associated with stress and AUDs.
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Affiliation(s)
- Sean P Farris
- University of Texas at Austin, Austin, TX, United States
| | - Brien P Riley
- Virginia Commonwealth University, Richmond, VA, United States
| | - Robert W Williams
- University of Tennessee Health Science Center, Memphis, TN, United States
| | - Megan K Mulligan
- University of Tennessee Health Science Center, Memphis, TN, United States
| | - Michael F Miles
- University of Tennessee Health Science Center, Memphis, TN, United States
| | - Marcelo F Lopez
- University of Tennessee Health Science Center, Memphis, TN, United States
| | - Robert Hitzemann
- Oregon Health and Science University, Portland, OR, United States
| | - Ovidiu D Iancu
- Oregon Health and Science University, Portland, OR, United States
| | | | | | | | | | - James B Daunais
- Wake Forest School of Medicine, Winston-Salem, NC, United States
| | | | - Robert P Searles
- Oregon Health and Science University, Portland, OR, United States
| | | | - Kathleen A Grant
- Oregon Health and Science University, Portland, OR, United States
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137
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Hill CM, Berthoud HR, Münzberg H, Morrison CD. Homeostatic sensing of dietary protein restriction: A case for FGF21. Front Neuroendocrinol 2018; 51:125-131. [PMID: 29890191 PMCID: PMC6175661 DOI: 10.1016/j.yfrne.2018.06.002] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 05/03/2018] [Accepted: 06/07/2018] [Indexed: 12/31/2022]
Abstract
Restriction of dietary protein intake increases food intake and energy expenditure, reduces growth, and alters amino acid, lipid, and glucose metabolism. While these responses suggest that animals 'sense' variations in amino acid consumption, the basic physiological mechanism mediating the adaptive response to protein restriction has been largely undescribed. In this review we make the case that the liver-derived metabolic hormone FGF21 is the key signal which communicates and coordinates the homeostatic response to dietary protein restriction. Support for this model centers on the evidence that FGF21 is induced by the restriction of dietary protein or amino acid intake and is required for adaptive changes in metabolism and behavior. FGF21 occupies a unique endocrine niche, being induced when energy intake is adequate but protein and carbohydrate are imbalanced. Collectively, the evidence thus suggests that FGF21 is the first known endocrine signal of dietary protein restriction.
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Affiliation(s)
- Cristal M Hill
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, United States
| | | | - Heike Münzberg
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, United States
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138
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Prytkova I, Goate A, Hart RP, Slesinger PA. Genetics of Alcohol Use Disorder: A Role for Induced Pluripotent Stem Cells? Alcohol Clin Exp Res 2018; 42:1572-1590. [PMID: 29897633 PMCID: PMC6120805 DOI: 10.1111/acer.13811] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 06/04/2018] [Indexed: 12/13/2022]
Abstract
Alcohol use disorder (AUD) affects millions of people and costs nearly 250 billion dollars annually. Few effective FDA-approved treatments exist, and more are needed. AUDs have a strong heritability, but only a few genes have been identified with a large effect size on disease phenotype. Genomewide association studies (GWASs) have identified common variants with low effect sizes, most of which are in noncoding regions of the genome. Animal models frequently fail to recapitulate key molecular features of neuropsychiatric disease due to the polygenic nature of the disease, partial conservation of coding regions, and significant disparity in noncoding regions. By contrast, human induced pluripotent stem cells (hiPSCs) derived from patients provide a powerful platform for evaluating genes identified by GWAS and modeling complex interactions in the human genome. hiPSCs can be differentiated into a wide variety of human cells, including neurons, glia, and hepatic cells, which are compatible with numerous functional assays and genome editing techniques. In this review, we focus on current applications and future directions of patient hiPSC-derived central nervous system cells for modeling AUDs in addition to highlighting successful applications of hiPSCs in polygenic neuropsychiatric diseases.
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Affiliation(s)
- Iya Prytkova
- Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Alison Goate
- Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer’s disease, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Ronald P. Hart
- Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway NJ 08854, USA
| | - Paul A. Slesinger
- Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
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139
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Liu G, Zhao Y, Jin S, Hu Y, Wang T, Tian R, Han Z, Xu D, Jiang Q. Circulating vitamin E levels and Alzheimer's disease: a Mendelian randomization study. Neurobiol Aging 2018; 72:189.e1-189.e9. [PMID: 30174138 DOI: 10.1016/j.neurobiolaging.2018.08.008] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Revised: 08/04/2018] [Accepted: 08/05/2018] [Indexed: 12/17/2022]
Abstract
Alzheimer's disease (AD) is the leading cause of dementia in older adults. It is more than 50 years since vitamin E was recognized as critical for optimal neurological health. Clinical studies have yielded inconsistent findings on the effect of vitamin E on AD risk. Thus, it remains unclear whether vitamin E levels are genetically associated with AD risk. We performed a Mendelian randomization study to investigate association of circulating vitamin E levels with AD using large-scale vitamin E genome-wide association study data set (N = 7781 individuals of European descent) and AD genome-wide association study data set (N = 54,162 individuals [including 17,008 AD cases and 37,154 controls of European descent]). Mendelian randomization-Egger intercept test showed no significant pleiotropy (β = -0.113; p = 0.296). Inverse-variance weighted (odds ratio = 0.96, 95% confidence interval: 0.47-1.94, p = 0.936) and weighted median analyses (odds ratio = 1.13, 95% confidence interval: 0.35-3.69, p = 0.836) showed no significant association between vitamin E and AD. Together with previous literature, this suggests that vitamin E supplementation may not forestall AD in the general population.
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Affiliation(s)
- Guiyou Liu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yi Zhao
- Affiliated Hospital, Taishan Medical University, Taian, Shandong, China
| | - Shuilin Jin
- Department of Mathematics, Harbin Institute of Technology, Harbin, China
| | - Yang Hu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Tao Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Rui Tian
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Zhifa Han
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Dandan Xu
- Department of Biology, Faculty of Sciences, Harbin University, Harbin, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
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140
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Deak JD, Miller AP, Gizer IR. Genetics of alcohol use disorder: a review. Curr Opin Psychol 2018; 27:56-61. [PMID: 30170251 DOI: 10.1016/j.copsyc.2018.07.012] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Revised: 07/25/2018] [Accepted: 07/31/2018] [Indexed: 01/13/2023]
Abstract
Alcohol use disorder (AUD) represents a significant and ongoing public health concern with 12-month prevalence estimates of ∼5.6%. Quantitative genetic studies suggest a heritability of approximately 50% for AUD, and as a result, significant efforts have been made to identify specific variation within the genome related to the etiology of AUD. Given the limited number of replicable findings that have emerged from genome-wide linkage and candidate gene association studies, more recent efforts have focused on the use of genome-wide association studies (GWAS). These studies have suggested that hundreds of variants across the genome, most of small effect (R2 < 0.002), contribute to the genetic etiology of AUD. The present review describes the initial, though limited, successes of GWAS to identify loci related to risk for AUD as well as other etiologically relevant traits (e.g. alcohol consumption). In addition, 'Post-GWAS' approaches that rely on GWAS data to estimate the heritability and co-heritability of traits, test causal relations between traits, and aid in gene discovery are described. Together, the described research findings illustrate the importance of molecular genetic research on AUD as we seek to better understand the mechanisms through which genetic variation leads to increased risk for AUD.
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Affiliation(s)
- Joseph D Deak
- Department of Psychological Sciences, University of Missouri, 210 McAlester Hall, Columbia, MO 65211, USA
| | - Alex P Miller
- Department of Psychological Sciences, University of Missouri, 210 McAlester Hall, Columbia, MO 65211, USA
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri, 210 McAlester Hall, Columbia, MO 65211, USA.
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141
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Verweij KJH, Treur JL, Vink JM. Investigating causal associations between use of nicotine, alcohol, caffeine and cannabis: a two-sample bidirectional Mendelian randomization study. Addiction 2018; 113:1333-1338. [PMID: 29334416 DOI: 10.1111/add.14154] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 09/14/2017] [Accepted: 01/02/2018] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND AIMS Epidemiological studies consistently show co-occurrence of use of different addictive substances. Whether these associations are causal or due to overlapping underlying influences remains an important question in addiction research. Methodological advances have made it possible to use published genetic associations to infer causal relationships between phenotypes. In this exploratory study, we used Mendelian randomization (MR) to examine the causality of well-established associations between nicotine, alcohol, caffeine and cannabis use. METHODS Two-sample MR was employed to estimate bidirectional causal effects between four addictive substances: nicotine (smoking initiation and cigarettes smoked per day), caffeine (cups of coffee per day), alcohol (units per week) and cannabis (initiation). Based on existing genome-wide association results we selected genetic variants associated with the exposure measure as an instrument to estimate causal effects. Where possible we applied sensitivity analyses (MR-Egger and weighted median) more robust to horizontal pleiotropy. RESULTS Most MR tests did not reveal causal associations. There was some weak evidence for a causal positive effect of genetically instrumented alcohol use on smoking initiation and of cigarettes per day on caffeine use, but these were not supported by the sensitivity analyses. There was also some suggestive evidence for a positive effect of alcohol use on caffeine use (only with MR-Egger) and smoking initiation on cannabis initiation (only with weighted median). None of the suggestive causal associations survived corrections for multiple testing. CONCLUSIONS Two-sample Mendelian randomization analyses found little evidence for causal relationships between nicotine, alcohol, caffeine and cannabis use.
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Affiliation(s)
- Karin J H Verweij
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | - Jorien L Treur
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | - Jacqueline M Vink
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
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142
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Marees AT, Hammerschlag AR, Bastarache L, de Kluiver H, Vorspan F, van den Brink W, Smit DJ, Denys D, Gamazon ER, Li-Gao R, Breetvelt EJ, de Groot MCH, Galesloot TE, Vermeulen SH, Poppelaars JL, Souverein PC, Keeman R, de Mutsert R, Noordam R, Rosendaal FR, Stringa N, Mook-Kanamori DO, Vaartjes I, Kiemeney LA, den Heijer M, van Schoor NM, Klungel OH, Maitland-Van der Zee AH, Schmidt MK, Polderman TJC, van der Leij AR, Posthuma D, Derks EM. Exploring the role of low-frequency and rare exonic variants in alcohol and tobacco use. Drug Alcohol Depend 2018; 188:94-101. [PMID: 29758381 DOI: 10.1016/j.drugalcdep.2018.03.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 03/22/2018] [Accepted: 03/24/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Alcohol and tobacco use are heritable phenotypes. However, only a small number of common genetic variants have been identified, and common variants account for a modest proportion of the heritability. Therefore, this study aims to investigate the role of low-frequency and rare variants in alcohol and tobacco use. METHODS We meta-analyzed ExomeChip association results from eight discovery cohorts and included 12,466 subjects and 7432 smokers in the analysis of alcohol consumption and tobacco use, respectively. The ExomeChip interrogates low-frequency and rare exonic variants, and in addition a small pool of common variants. We investigated top variants in an independent sample in which ICD-9 diagnoses of "alcoholism" (N = 25,508) and "tobacco use disorder" (N = 27,068) had been assessed. In addition to the single variant analysis, we performed gene-based, polygenic risk score (PRS), and pathway analyses. RESULTS The meta-analysis did not yield exome-wide significant results. When we jointly analyzed our top results with the independent sample, no low-frequency or rare variants reached significance for alcohol consumption or tobacco use. However, two common variants that were present on the ExomeChip, rs16969968 (p = 2.39 × 10-7) and rs8034191 (p = 6.31 × 10-7) located in CHRNA5 and AGPHD1 at 15q25.1, showed evidence for association with tobacco use. DISCUSSION Low-frequency and rare exonic variants with large effects do not play a major role in alcohol and tobacco use, nor does the aggregate effect of ExomeChip variants. However, our results confirmed the role of the CHRNA5-CHRNA3-CHRNB4 cluster of nicotinic acetylcholine receptor subunit genes in tobacco use.
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Affiliation(s)
- Andries T Marees
- Department of Psychiatry, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands; QIMR Berghofer, Translational Neurogenomics Group, Brisbane, Australia.
| | - Anke R Hammerschlag
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lisa Bastarache
- Center for Precision Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Hilde de Kluiver
- GGZ inGeest and Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Florence Vorspan
- Assistance Publique-Hôpitaux de Paris, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, 200 Rue du Faubourg Saint-Denis, Paris, France; Inserm umr-s 1144, Université Paris Descartes, Université Paris Diderot, 4 Avenue de l'Observatoire, Paris, France
| | - Wim van den Brink
- Department of Psychiatry, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Dirk J Smit
- Department of Psychiatry, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Damiaan Denys
- Department of Psychiatry, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Eric R Gamazon
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Clare Hall, University of Cambridge, Cambridge, CB3 9AL, United Kingdom
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Elemi J Breetvelt
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Canada; Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Canada
| | - Mark C H de Groot
- Department of Clinical Chemistry and Haematology, Division of Laboratory and Pharmacy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tessel E Galesloot
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sita H Vermeulen
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan L Poppelaars
- Department of Sociology, VU University, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Patrick C Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Renske Keeman
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Najada Stringa
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands; Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Ilonca Vaartjes
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lambertus A Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martin den Heijer
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands; Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Olaf H Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Anke H Maitland-Van der Zee
- Department of Respiratory Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Tinca J C Polderman
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Clinical Genetics, Vrije Universiteit Medical Center, Amsterdam, The Netherlands
| | - Eske M Derks
- Department of Psychiatry, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands; QIMR Berghofer, Translational Neurogenomics Group, Brisbane, Australia
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The Hormone FGF21 Stimulates Water Drinking in Response to Ketogenic Diet and Alcohol. Cell Metab 2018; 27:1338-1347.e4. [PMID: 29657029 PMCID: PMC5990458 DOI: 10.1016/j.cmet.2018.04.001] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 02/02/2018] [Accepted: 04/02/2018] [Indexed: 01/05/2023]
Abstract
Alcohol and ketogenic diets increase water consumption. Here, we show that the hormone FGF21 is required for this drinking response in mice. Circulating levels of FGF21 are increased by alcohol consumption in humans and by both alcohol and ketogenic diets in mice. Pharmacologic administration of FGF21 stimulates water drinking behavior in mice within 2 hr. Concordantly, mice lacking FGF21 fail to increase water intake in response to either alcohol or a ketogenic diet. The effect of FGF21 on drinking is mediated in part by SIM1-positive neurons of the hypothalamus and is inhibited by β-adrenergic receptor antagonists. Given that FGF21 also is known to suppress alcohol intake in favor of pure water, this work identifies FGF21 as a fundamental neurotropic hormone that governs water balance in response to specific nutrient stresses that can cause dehydration.
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144
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Ramoz N, Gorwood P. Aspects génétiques de l’alcoolo-dépendance. Presse Med 2018; 47:547-553. [DOI: 10.1016/j.lpm.2017.07.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 07/12/2017] [Indexed: 12/31/2022] Open
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145
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Christensen AI, Nordestgaard BG, Tolstrup JS. Alcohol Intake and Risk of Ischemic and Haemorrhagic Stroke: Results from a Mendelian Randomisation Study. J Stroke 2018; 20:218-227. [PMID: 29886720 PMCID: PMC6007300 DOI: 10.5853/jos.2017.01466] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 11/24/2017] [Accepted: 12/24/2017] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND AND PURPOSE To test whether alcohol intake, both observational and estimated by genetic instruments, is associated with risk of ischemic and haemorrhagic stroke. METHODS We used data from the Copenhagen City Heart Study 1991 to 1994 and 2001 to 2003, and the Copenhagen General Population Study 2003 to 2012 (n=78,546). As measure of alcohol exposure, self-reported consumption and genetic variation in alcohol metabolizing genes (alcohol dehydrogenase ADH1B and ADH1C) as instrumental variables were used. Stroke diagnoses were obtained from a validated hospital register. RESULTS During follow-up 2,535 cases of ischemic and haemorrhagic stroke occurred. Low and moderate alcohol intake (1 to 20 drinks/week) was associated with reduced risk of stroke. The hazard ratios associated with drinking 1 to 6, 7 to 13, and 14 to 20 drinks/week were 0.84 (95% confidence interval [CI], 0.76 to 0.92), 0.83 (95% CI, 0.73 to 0.94), and 0.84 (95% CI, 0.73 to 0.97), respectively, compared with drinking <1 drink/day. ADH1B and ADH1C genotypes were not associated with risk of stroke. Further analysis to test the included measures revealed that increasing alcohol intake (per 1 drink/day) was positively associated with risk of alcoholic liver cirrhosis, but not associated with risk of stroke, and that increasing blood pressure (per systolic 10 mm Hg) was not associated with risk of alcoholic liver cirrhosis, but positively associated with risk of stroke. CONCLUSIONS Low and moderate self-reported alcohol intake was associated with reduced risk of stroke. The result was not supported by the result from the causal genetic analysis.
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Affiliation(s)
- Anne I Christensen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.,The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.,The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Frederiksberg, Denmark
| | - Janne S Tolstrup
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
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146
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Neale ZE, Salvatore JE, Cooke ME, Savage JE, Aliev F, Donovan KK, Hancock LC, Dick DM. 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. Front Psychol 2018; 9:747. [PMID: 29872410 PMCID: PMC5972275 DOI: 10.3389/fpsyg.2018.00747] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 04/30/2018] [Indexed: 01/28/2023] Open
Abstract
Background: Alcohol use on college campuses is prevalent and contributes to problems that affect the health, emotional wellbeing, and academic success of college students. Risk factors, such as family history of alcohol problems, predict future alcohol problems, but less is known about their potential impact on intervention effectiveness. The purpose of this study was to examine the effect of an intervention implemented in a non-randomized sample of drinking and non-drinking college freshmen. Methods: Freshmen college students recruited for the intervention study (n = 153) completed a web-adaptation of the Brief Alcohol Screening and Intervention for College Students (BASICS) at the start of spring semester. We compared their 30-days post-intervention alcohol initiation, number of drinking days (DAYS), drinks per occasion (DRINKS), maximum drinks in 24 h (MAX24) and alcohol use disorder symptoms (AUDsx) to 151 comparison participants retrospectively matched on demographics and baseline alcohol use behaviors. We also tested baseline DRINKS, DAYS, AUDsx, MAX24, and parental family history (PFH) of alcohol problems as moderators of the effect of the intervention. Results: At follow-up, intervention participants had lower rates of AUDsx than comparison participants, especially among baseline drinkers. Among participants drinking 3+ days/month at baseline, intervention participants showed fewer DAYS at follow-up than the comparison group participants. BASICS was also associated with a decreased likelihood of initiation among baseline non-drinkers. PFH significantly interacted with treatment group, with positive PFH intervention participants reporting significantly fewer AUDsx at follow-up compared to positive PFH comparison participants. We found no evidence for an effect of the intervention on DRINKS or MAX24 in our analyses. Conclusions: Results suggest some indication that novel groups, such as non-drinkers, regular drinkers, and PFH positive students may experience benefits from BASICS. Although conclusions were limited by lack of randomization and short follow-up period, PFH positive and low to moderate drinking groups represent viable targets for future randomized studies.
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Affiliation(s)
- Zoe E Neale
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States.,Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
| | - Jessica E Salvatore
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States.,Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
| | - Megan E Cooke
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| | - Jeanne E Savage
- Complex Trait Genetics Lab, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States.,Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States
| | - Kristen K Donovan
- Division of Student Affairs, Wellness Resource Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Linda C Hancock
- Division of Student Affairs, Wellness Resource Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States.,Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, United States.,College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA, United States
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147
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BonDurant LD, Potthoff MJ. Fibroblast Growth Factor 21: A Versatile Regulator of Metabolic Homeostasis. Annu Rev Nutr 2018; 38:173-196. [PMID: 29727594 DOI: 10.1146/annurev-nutr-071816-064800] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Fibroblast growth factor 21 (FGF21) is an endocrine hormone derived from the liver that exerts pleiotropic effects on the body to maintain overall metabolic homeostasis. During the past decade, there has been an enormous effort made to understand the physiological roles of FGF21 in regulating metabolism and to identify the mechanism for its potent pharmacological effects to reverse diabetes and obesity. Through both human and rodent studies, it is now evident that FGF21 levels are dynamically regulated by nutrient sensing, and consequently FGF21 functions as a critical regulator of nutrient homeostasis. In addition, recent studies using new genetic and molecular tools have provided critical insight into the actions of this endocrine factor. This review examines the numerous functions of FGF21 and highlights the therapeutic potential of FGF21-targeted pathways for treating metabolic disease.
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Affiliation(s)
- Lucas D BonDurant
- Department of Pharmacology and Fraternal Order of Eagles Diabetes Research Center, University of Iowa Carver College of Medicine, Iowa City, Iowa 52242, USA;
| | - Matthew J Potthoff
- Department of Pharmacology and Fraternal Order of Eagles Diabetes Research Center, University of Iowa Carver College of Medicine, Iowa City, Iowa 52242, USA;
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148
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Wang DD, Hu FB. Precision nutrition for prevention and management of type 2 diabetes. Lancet Diabetes Endocrinol 2018; 6:416-426. [PMID: 29433995 DOI: 10.1016/s2213-8587(18)30037-8] [Citation(s) in RCA: 137] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 12/02/2017] [Accepted: 12/11/2017] [Indexed: 02/08/2023]
Abstract
Precision nutrition aims to prevent and manage chronic diseases by tailoring dietary interventions or recommendations to one or a combination of an individual's genetic background, metabolic profile, and environmental exposures. Recent advances in genomics, metabolomics, and gut microbiome technologies have offered opportunities as well as challenges in the use of precision nutrition to prevent and manage type 2 diabetes. Nutrigenomics studies have identified genetic variants that influence intake and metabolism of specific nutrients and predict individuals' variability in response to dietary interventions. Metabolomics has revealed metabolomic fingerprints of food and nutrient consumption and uncovered new metabolic pathways that are potentially modified by diet. Dietary interventions have been successful in altering abundance, composition, and activity of gut microbiota that are relevant for food metabolism and glycaemic control. In addition, mobile apps and wearable devices facilitate real-time assessment of dietary intake and provide feedback which can improve glycaemic control and diabetes management. By integrating these technologies with big data analytics, precision nutrition has the potential to provide personalised nutrition guidance for more effective prevention and management of type 2 diabetes. Despite these technological advances, much research is needed before precision nutrition can be widely used in clinical and public health settings. Currently, the field of precision nutrition faces challenges including a lack of robust and reproducible results, the high cost of omics technologies, and methodological issues in study design as well as high-dimensional data analyses and interpretation. Evidence is needed to support the efficacy, cost-effectiveness, and additional benefits of precision nutrition beyond traditional nutrition intervention approaches. Therefore, we should manage unrealistically high expectations and balance the emerging field of precision nutrition with public health nutrition strategies to improve diet quality and prevent type 2 diabetes and its complications.
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Affiliation(s)
- Dong D Wang
- Department of Nutrition, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard T H Chan School of Public Health, and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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149
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Gillum MP. Parsing the Potential Neuroendocrine Actions of FGF21 in Primates. Endocrinology 2018; 159:1966-1970. [PMID: 29608670 DOI: 10.1210/en.2018-00208] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 03/22/2018] [Indexed: 01/10/2023]
Abstract
Fibroblast growth factor (FGF) 21, a unique, largely liver-derived endocrine member of the FGF superfamily, is often thought of as a fasting factor owing to its induction in rodents during starvation. However, FGF21 is not increased by fasting for periods of <7 days in humans; instead, it rises sharply after acute alcohol and sugar intake and also after several days of overfeeding, suggesting another role in states of positive energy balance. Recent studies suggest that in the postingestive state, FGF21 may regulate energy intake and discourage consumption of alcohol and sugars, most likely through effector circuits in the central nervous system. FGF21 also increases fat oxidation in the liver, improves markers of insulin sensitivity, and stimulates adiponectin production. Thus, in primates, FGF21 may defend against hepatic nutrient overload by promoting adaptations that reduce ectopic lipid storage, including inhibiting sugar and alcohol appetite and promoting lipid sequestration in adipose tissue.
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Affiliation(s)
- Matthew P Gillum
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
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150
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Abdellaoui A, Nivard MG, Hottenga JJ, Fedko I, Verweij KJH, Baselmans BML, Ehli EA, Davies GE, Bartels M, Boomsma DI, Cacioppo JT. Predicting loneliness with polygenic scores of social, psychological and psychiatric traits. GENES BRAIN AND BEHAVIOR 2018; 17:e12472. [PMID: 29573219 DOI: 10.1111/gbb.12472] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 01/31/2018] [Accepted: 03/08/2018] [Indexed: 12/14/2022]
Abstract
Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8798 Dutch individuals. Polygenic scores for major depressive disorder (MDD), schizophrenia and bipolar disorder were significantly associated with loneliness. Of the Big Five personality dimensions, polygenic scores for neuroticism and conscientiousness also significantly predicted loneliness, as did the polygenic scores for subjective well-being, tiredness and self-rated health. When including all polygenic scores simultaneously into one model, only 2 major depression polygenic scores remained as significant predictors of loneliness. When controlling only for these 2 MDD polygenic scores, only neuroticism and schizophrenia remain significant. The total variation explained by all polygenic scores collectively was 1.7%. The association between the propensity to feel lonely and the susceptibility to psychiatric disorders thus pointed to a shared genetic etiology. The predictive power of polygenic scores will increase as the power of the genome-wide association studies on which they are based increases and may lead to clinically useful polygenic scores that can inform on the genetic predisposition to loneliness and mental health.
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Affiliation(s)
- A Abdellaoui
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - M G Nivard
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - J-J Hottenga
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - I Fedko
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - K J H Verweij
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - B M L Baselmans
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - E A Ehli
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - G E Davies
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - M Bartels
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - J T Cacioppo
- Department of Psychology, University of Chicago, Chicago, Illinois
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