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Strat YL, Ramoz N, Schumann G, Gorwood P. Molecular genetics of alcohol dependence and related endophenotypes. Curr Genomics 2011; 9:444-51. [PMID: 19506733 PMCID: PMC2691669 DOI: 10.2174/138920208786241252] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2008] [Revised: 06/11/2008] [Accepted: 06/12/2008] [Indexed: 11/22/2022] Open
Abstract
Alcohol dependence is a worldwide public health problem, and involves both environmental and genetic vulnerability factors. The heritability of alcohol dependence is rather high, ranging between 50% and 60%, although alcohol dependence is a polygenic, complex disorder. Genome-wide scans on large cohorts of multiplex families, including the collaborative study on genetics of alcoholism (COGA), emphasized the role of many chromosome regions and some candidate genes. The genes encoding the alcohol-metabolizing enzymes, or those involved in brain reward pathways, have been involved. Since dopamine is the main neurotransmitter in the reward circuit, genes involved in the dopaminergic pathway represent candidates of interest. Furthermore, gamma-amino-butyric acid (GABA) neurotransmitter mediates the acute actions of alcohol and is involved in withdrawal symptomatology. Numerous studies showed an association between variants within GABA receptors genes and the risk of alcohol dependence. In accordance with the complexity of the “alcohol dependence” phenotype, another field of research, related to the concept of endophenotypes, received more recent attention. The role of vulnerability genes in alcohol dependence is therefore re-assessed focusing on different phenotypes and endophenotypes. The latter include brain oscillations, EEG alpha and beta variants and alpha power, and amplitude of P300 amplitude elicited from a visual oddball task. Recent enhancement on global characterizations of the genome by high-throughput approach for genotyping of polymorphisms and studies of transcriptomics and proteomics in alcohol dependence is also reviewed.
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Affiliation(s)
- Yann L Strat
- INSERM U675, IFR02, Université Paris 7, 16 Rue Henri Huchard, 75018 Paris, France
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Wehby G, Jugessur A, Murray JC, Moreno L, Wilcox A, Lie RT. GENES AS INSTRUMENTS FOR STUDYING RISK BEHAVIOR EFFECTS: AN APPLICATION TO MATERNAL SMOKING AND OROFACIAL CLEFTS. HEALTH SERVICES AND OUTCOMES RESEARCH METHODOLOGY 2011; 11:54-78. [PMID: 22102793 DOI: 10.1007/s10742-011-0071-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
This study uses instrumental variable (IV) models with genetic instruments to assess the effects of maternal smoking on the child's risk of orofacial clefts (OFC), a common birth defect. The study uses genotypic variants in neurotransmitter and detoxification genes relateded to smoking as instruments for cigarette smoking before and during pregnancy. Conditional maximum likelihood and two-stage IV probit models are used to estimate the IV model. The data are from a population-level sample of affected and unaffected children in Norway. The selected genetic instruments generally fit the IV assumptions but may be considered "weak" in predicting cigarette smoking. We find that smoking before and during pregnancy increases OFC risk substantially under the IV model (by about 4-5 times at the sample average smoking rate). This effect is greater than that found with classical analytic models. This may be because the usual models are not able to consider self-selection into smoking based on unobserved confounders, or it may to some degree reflect limitations of the instruments. Inference based on weak-instrument robust confidence bounds is consistent with standard inference. Genetic instruments may provide a valuable approach to estimate the "causal" effects of risk behaviors with genetic-predisposing factors (such as smoking) on health and socioeconomic outcomes.
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Affiliation(s)
- George Wehby
- Assistant Professor, Dept. of Health Management and Policy, College of Public Health, University of Iowa, 200 Hawkins Drive, E205 GH, Iowa City, IA 52242 USA,
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Gizer IR, Edenberg HJ, Gilder DA, Wilhelmsen KC, Ehlers CL. Association of alcohol dehydrogenase genes with alcohol-related phenotypes in a Native American community sample. Alcohol Clin Exp Res 2011; 35:2008-18. [PMID: 21635275 DOI: 10.1111/j.1530-0277.2011.01552.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Previous linkage studies, including a study of the Native American population described in the present report, have provided evidence for linkage of alcohol dependence and related traits to chromosome 4q near a cluster of alcohol dehydrogenase (ADH) genes, which encode enzymes of alcohol metabolism. METHODS The present study tested for associations between alcohol dependence and related traits and 22 single-nucleotide polymorphisms (SNPs) spanning the 7 ADH genes. Participants included 586 adult men and women recruited from 8 contiguous Native American reservations. A structured interview was used to assess DSM-III-R alcohol dependence criteria as well as a set of severe alcohol misuse symptoms and alcohol withdrawal symptoms. RESULTS No evidence for association with the alcohol dependence diagnosis was observed, but an SNP in exon 9 of ADH1B (rs2066702; ADH1B*3) and an SNP at the 5' end of ADH4 (rs3762894) showed significant evidence of association with the presence of withdrawal symptoms (p = 0.0018 and 0.0012, respectively). Further, a haplotype analysis of these 2 SNPs suggested that the haplotypes containing either of the minor alleles were protective against alcohol withdrawal relative to the ancestral haplotype (p = 0.000006). CONCLUSIONS These results suggest that variants in the ADH1B and ADH4 genes may be protective against the development of some symptoms associated with alcohol dependence.
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Affiliation(s)
- Ian R Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri, USA
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54
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McKay JD, Truong T, Gaborieau V, Chabrier A, Chuang SC, Byrnes G, Zaridze D, Shangina O, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Bucur A, Bencko V, Holcatova I, Janout V, Foretova L, Lagiou P, Trichopoulos D, Benhamou S, Bouchardy C, Ahrens W, Merletti F, Richiardi L, Talamini R, Barzan L, Kjaerheim K, Macfarlane GJ, Macfarlane TV, Simonato L, Canova C, Agudo A, Castellsagué X, Lowry R, Conway DI, McKinney PA, Healy CM, Toner ME, Znaor A, Curado MP, Koifman S, Menezes A, Wünsch-Filho V, Neto JE, Garrote LF, Boccia S, Cadoni G, Arzani D, Olshan AF, Weissler MC, Funkhouser WK, Luo J, Lubiński J, Trubicka J, Lener M, Oszutowska D, Schwartz SM, Chen C, Fish S, Doody DR, Muscat JE, Lazarus P, Gallagher CJ, Chang SC, Zhang ZF, Wei Q, Sturgis EM, Wang LE, Franceschi S, Herrero R, Kelsey KT, McClean MD, Marsit CJ, Nelson HH, Romkes M, Buch S, Nukui T, Zhong S, Lacko M, Manni JJ, Peters WHM, Hung RJ, McLaughlin J, Vatten L, Njølstad I, Goodman GE, Field JK, Liloglou T, Vineis P, Clavel-Chapelon F, Palli D, Tumino R, Krogh V, Panico S, González CA, Quirós JR, Martínez C, Navarro C, Ardanaz E, Larrañaga N, Khaw KT, Key T, Bueno-de-Mesquita HB, Peeters PHM, Trichopoulou A, Linseisen J, Boeing H, Hallmans G, Overvad K, Tjønneland A, Kumle M, Riboli E, Välk K, Voodern T, Metspalu A, Zelenika D, Boland A, Delepine M, Foglio M, Lechner D, Blanché H, Gut IG, Galan P, Heath S, Hashibe M, Hayes RB, Boffetta P, Lathrop M, Brennan P. A genome-wide association study of upper aerodigestive tract cancers conducted within the INHANCE consortium. PLoS Genet 2011; 7:e1001333. [PMID: 21437268 PMCID: PMC3060072 DOI: 10.1371/journal.pgen.1001333] [Citation(s) in RCA: 132] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2010] [Accepted: 02/11/2011] [Indexed: 11/18/2022] Open
Abstract
Genome-wide association studies (GWAS) have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease. We conducted a GWAS to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT) cancers. Genome-wide genotyping was carried out using the Illumina HumanHap300 beadchips in 2,091 UADT cancer cases and 3,513 controls from two large European multi-centre UADT cancer studies, as well as 4,821 generic controls. The 19 top-ranked variants were investigated further in an additional 6,514 UADT cancer cases and 7,892 controls of European descent from an additional 13 UADT cancer studies participating in the INHANCE consortium. Five common variants presented evidence for significant association in the combined analysis (p ≤ 5 × 10⁻⁷). Two novel variants were identified, a 4q21 variant (rs1494961, p = 1×10⁻⁸) located near DNA repair related genes HEL308 and FAM175A (or Abraxas) and a 12q24 variant (rs4767364, p =2 × 10⁻⁸) located in an extended linkage disequilibrium region that contains multiple genes including the aldehyde dehydrogenase 2 (ALDH2) gene. Three remaining variants are located in the ADH gene cluster and were identified previously in a candidate gene study involving some of these samples. The association between these three variants and UADT cancers was independently replicated in 5,092 UADT cancer cases and 6,794 controls non-overlapping samples presented here (rs1573496-ADH7, p = 5 × 10⁻⁸); rs1229984-ADH1B, p = 7 × 10⁻⁹; and rs698-ADH1C, p = 0.02). These results implicate two variants at 4q21 and 12q24 and further highlight three ADH variants in UADT cancer susceptibility.
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Affiliation(s)
- James D. McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Therese Truong
- International Agency for Research on Cancer (IARC), Lyon, France
| | | | - Amelie Chabrier
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Shu-Chun Chuang
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Graham Byrnes
- International Agency for Research on Cancer (IARC), Lyon, France
| | - David Zaridze
- Institute of Carcinogenesis, Cancer Research Centre, Moscow, Russia
| | - Oxana Shangina
- Institute of Carcinogenesis, Cancer Research Centre, Moscow, Russia
| | | | - Jolanta Lissowska
- The M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Peter Rudnai
- National Institute of Environmental Health, Budapest, Hungary
| | | | | | - Vladimir Bencko
- Institute of Hygiene and Epidemiology,1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Ivana Holcatova
- Institute of Hygiene and Epidemiology,1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | | | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology, and Medical Statistics, University of Athens School of Medicine, Athens, Greece
| | - Dimitrios Trichopoulos
- Department of Hygiene, Epidemiology, and Medical Statistics, University of Athens School of Medicine, Athens, Greece
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Simone Benhamou
- INSERM U946, Paris, France
- CNRS UMR8200, Gustave Roussy Institute, Villejuif, France
| | - Christine Bouchardy
- Geneva Cancer Registry, Institute for Social and Preventive Medicine, University of Geneva, Geneva, Switzerland
| | - Wolfgang Ahrens
- Bremen Institute for Prevention Research and Social Medicine (BIPS), University of Bremen, Bremen, Germany
| | - Franco Merletti
- Unit of Cancer Epidemiology, University of Turin, Turin, Italy
| | | | | | | | | | - Gary J. Macfarlane
- School of Medicine and Dentistry, University of Aberdeen, Aberdeen, United Kingdom
| | | | - Lorenzo Simonato
- Department of Environmental Medicine and Public Health, University of Padova, Padova, Italy
| | - Cristina Canova
- Department of Environmental Medicine and Public Health, University of Padova, Padova, Italy
- Respiratory Epidemiology and Public Health, National Heart and Lung Institute, Imperial College, London, United Kingdom
| | | | - Xavier Castellsagué
- Institut Català d'Oncologia (ICO), Barcelona, Spain
- CIBER Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Ray Lowry
- University of Newcastle Dental School, Newcastle, United Kingdom
| | | | - Patricia A. McKinney
- University of Leeds Centre for Epidemiology and Biostatistics, Leeds, United Kingdom
- NHS NSS ISD, Edinburgh, Scotland
| | | | - Mary E. Toner
- Trinity College School of Dental Science, Dublin, Ireland
| | - Ariana Znaor
- Croatian National Cancer Registry, Croatian National Institute of Public Health, Zagreb, Croatia
| | | | - Sergio Koifman
- National School of Public Health/FIOCRUZ, Rio de Janeiro, Brazil
| | - Ana Menezes
- Universidade Federal de Pelotas, Pelotas, Brazil
| | | | | | | | - Stefania Boccia
- Institute of Hygiene, Università Cattolica del Sacro Cuore, Rome, Italy
- IRCCS San Raffaele Pisana, Rome, Italy
| | - Gabriella Cadoni
- Institute of Hygiene, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Dario Arzani
- Institute of Hygiene, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Andrew F. Olshan
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Mark C. Weissler
- School of Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - William K. Funkhouser
- School of Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Jingchun Luo
- School of Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Jan Lubiński
- Pomeranian Medical University, Department of Genetics and Pathomorphology, International Hereditary Cancer Center, Szczecin, Poland
| | - Joanna Trubicka
- Pomeranian Medical University, Department of Genetics and Pathomorphology, International Hereditary Cancer Center, Szczecin, Poland
| | - Marcin Lener
- Pomeranian Medical University, Department of Genetics and Pathomorphology, International Hereditary Cancer Center, Szczecin, Poland
| | - Dorota Oszutowska
- Pomeranian Medical University, Department of Genetics and Pathomorphology, International Hereditary Cancer Center, Szczecin, Poland
- Pomeranian Medical University, Department of Hygiene, Epidemiology, and Public Health, Szczecin, Poland
| | - Stephen M. Schwartz
- Fred Hutchinson Cancer Research Centre, Seattle, Washington, United States of America
| | - Chu Chen
- Fred Hutchinson Cancer Research Centre, Seattle, Washington, United States of America
| | - Sherianne Fish
- Fred Hutchinson Cancer Research Centre, Seattle, Washington, United States of America
| | - David R. Doody
- Fred Hutchinson Cancer Research Centre, Seattle, Washington, United States of America
| | - Joshua E. Muscat
- Penn State College of Medicine, Hershey, Pennsylvania, United States of America
| | - Philip Lazarus
- Penn State College of Medicine, Hershey, Pennsylvania, United States of America
| | - Carla J. Gallagher
- Penn State College of Medicine, Hershey, Pennsylvania, United States of America
| | - Shen-Chih Chang
- University of California Los Angeles School of Public Health, Los Angeles, California, United States of America
| | - Zuo-Feng Zhang
- University of California Los Angeles School of Public Health, Los Angeles, California, United States of America
| | - Qingyi Wei
- University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Erich M. Sturgis
- University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Li-E Wang
- University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America
| | | | - Rolando Herrero
- Instituto de Investigación Epidemiológica, San José, Costa Rica
| | - Karl T. Kelsey
- Brown University, Providence, Rhode Island, United States of America
| | - Michael D. McClean
- Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Carmen J. Marsit
- Brown University, Providence, Rhode Island, United States of America
| | - Heather H. Nelson
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Marjorie Romkes
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Shama Buch
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Tomoko Nukui
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Shilong Zhong
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Martin Lacko
- Department of Otorhinolaryngology and Head and Neck Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Johannes J. Manni
- Department of Otorhinolaryngology and Head and Neck Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Wilbert H. M. Peters
- Department of Gastroenterology, St. Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Rayjean J. Hung
- Samuel Lunenfeld Research Institute of the Mount Sinai Hospital, Toronto, Canada
| | | | - Lars Vatten
- Norwegian University of Science and Technology, Trondheim, Norway
| | - Inger Njølstad
- Department of Community Medicine, Faculty of Health Sciences, University of Tromso, Tromso, Norway
| | - Gary E. Goodman
- Fred Hutchinson Cancer Research Centre, Seattle, Washington, United States of America
| | - John K. Field
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Liverpool, United Kingdom
| | - Triantafillos Liloglou
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Liverpool, United Kingdom
| | - Paolo Vineis
- Servizio di Epidemiologia dei Tumori, Università di Torino and CPO-Piemonte, Turin, Italy
- Department of Epidemiology and Public Health, Imperial College, London, United Kingdom
| | | | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, Azienda Ospedaliera “Civile M.P.Arezzo”, Ragusa, Italy
| | - Vittorio Krogh
- Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Sperimentale, Universita di Napoli Federico II, Naples, Italy
| | - Carlos A. González
- Unit of Nutrition, Environment, and Cancer (IDIBELL, RETICC DR06-0020, Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - J. Ramón Quirós
- Jefe Sección Información Sanitaria, Consejería de Servicios Sociales, Principado de Asturias, Oviedo, Spain
| | | | - Carmen Navarro
- CIBER Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
- Epidemiology Department, Murcia Health Council, Murcia, Spain
| | - Eva Ardanaz
- CIBER Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
| | - Nerea Larrañaga
- Subdirección de Salud Pública de Gipuzkoa, Gobierno Vasco, San Sebastian, Spain
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Timothy Key
- Cancer Research UK, University of Oxford, Oxford, United Kingdom
| | | | - Petra H. M. Peeters
- Julius Center for Health Sciences and Primary Care, Department of Epidemiology, University Medical Center of Utrecht, Utrecht, The Netherlands
| | - Antonia Trichopoulou
- WHO Collaborating Center for Nutrition, Department of Hygiene, Epidemiology, and Medical Statistics, University of Athens School of Medicine, Athens, Greece
| | - Jakob Linseisen
- Institute of Epidemiology, Helmholtz Centre Munich, Neuherberg, Germany
- Division of Clinical Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, Deutsches Institut für Ernährungsforschung, Potsdam-Rehbrücke, Germany
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, University of Umeå, Umeå, Sweden
| | - Kim Overvad
- Department of Epidemiology and Social Medicine, Aarhus University, Aarhus, Denmark
| | - Anne Tjønneland
- The Danish Cancer Society, Institute of Cancer Epidemiology, Copenhagen, Denmark
| | | | - Elio Riboli
- Department of Epidemiology and Public Health, Imperial College, London, United Kingdom
| | | | | | | | - Diana Zelenika
- Centre National de Génotypage, Institut Génomique, Commissariat à l'énergie Atomique, Evry, France
| | - Anne Boland
- Centre National de Génotypage, Institut Génomique, Commissariat à l'énergie Atomique, Evry, France
| | - Marc Delepine
- Centre National de Génotypage, Institut Génomique, Commissariat à l'énergie Atomique, Evry, France
| | - Mario Foglio
- Centre National de Génotypage, Institut Génomique, Commissariat à l'énergie Atomique, Evry, France
| | - Doris Lechner
- Centre National de Génotypage, Institut Génomique, Commissariat à l'énergie Atomique, Evry, France
| | | | - Ivo G. Gut
- Centre National de Génotypage, Institut Génomique, Commissariat à l'énergie Atomique, Evry, France
| | - Pilar Galan
- INSERM U557/U1125 INRA/CNAM, Université Paris 13, Bobigny, France
| | - Simon Heath
- Centre National de Génotypage, Institut Génomique, Commissariat à l'énergie Atomique, Evry, France
| | - Mia Hashibe
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Richard B. Hayes
- New York University Langone Medical Center, New York, New York, United States of America
| | - Paolo Boffetta
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mark Lathrop
- Centre National de Génotypage, Institut Génomique, Commissariat à l'énergie Atomique, Evry, France
- Fondation Jean Dausset-CEPH, Paris, France
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
- * E-mail:
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Beseler CL, Aharonovich E, Hasin DS. The enduring influence of drinking motives on alcohol consumption after fateful trauma. Alcohol Clin Exp Res 2011; 35:1004-10. [PMID: 21314697 DOI: 10.1111/j.1530-0277.2010.01431.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
OBJECTIVE Drinking motives predict later levels of alcohol consumption and development of alcohol dependence, but their effects on stress-related drinking are less clear. Proximity to the terrorist attack on the World Trade Center (WTC) on 9/11/01 was significantly associated with alcohol consumption 1 and 16 weeks after 9/11/01. We investigated the relationship between drinking motives measured a decade earlier, proximity to the WTC, and drinking after 9/11/01. This event constitutes a natural experiment for studying the effects of previously measured drinking motives on alcohol consumption after fateful trauma. METHODS Adult drinkers (N = 644) residing in a New Jersey county were evaluated for four drinking motives: coping with negative affect, for enjoyment, for social facilitation and social pressure. After 9/11/01, their exposure to the WTC attack and subsequent drinking were assessed. Poisson regression was used to assess the relationships between proximity to the WTC, drinking motives and post-9/11/01 drinking; models were adjusted for alcohol dependence, age, gender and race. RESULTS Drinking to cope with negative affect predicted alcohol consumption 1 week after 9/11/01 (p = 0.04) and drinking for enjoyment predicted drinking 1 and 16 weeks after 9/11/01 (p = 0.001 and 0.01, respectively). The associations were independent of proximity to the WTC. No interactions were observed between drinking motives, proximity to the WTC or lifetime alcohol dependence. CONCLUSION Drinking motives a decade earlier predicted higher alcohol consumption after fateful trauma independently from proximity to the WTC on 9/11/01. Results suggest that drinking motives constitute a robust, enduring influence on drinking behavior, including after traumatic experiences.
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Rebello AS, Moura-Neto R, Carvalho MDGDC. Association study of the Ile349val polymorphism of the gene ADH1C and alcohol dependence. JORNAL BRASILEIRO DE PSIQUIATRIA 2011. [DOI: 10.1590/s0047-20852011000100002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
OBJECTIVE: The aim of this study was to investigate the polymorphism Ile349Val of the enzyme alcohol dehydrogenase ADH1C gene among individuals with alcohol dependence syndrome (ADS) attending Alcoholics Anonymous (AA) meetings. METHODS: A total of 120 subjects residing in Rio de Janeiro city participated in this study. Subjects were divided into two groups: a group consisting of 54 individuals from the ADS group and 66 individuals that declared not having any alcohol dependence (control group). DNA was extracted from mouth epithelial cells by phenol-chloroform method and further submitted to amplification by polymerase chain reaction (PCR). RESULTS: Our results did not show differences between the genotypes of control individuals and ADS subjects. Nevertheless, we found increased rates of alcoholism in families of ADS subjects as compared to controls. CONCLUSIONS: Our results did not show any genotype difference on the ADH1C gene when control and AA genotypes are compared.
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Liu J, Zhou Z, Hodgkinson CA, Yuan Q, Shen PH, Mulligan CJ, Wang A, Gray RR, Roy A, Virkkunen M, Goldman D, Enoch MA. Haplotype-based study of the association of alcohol-metabolizing genes with alcohol dependence in four independent populations. Alcohol Clin Exp Res 2010; 35:304-16. [PMID: 21083667 DOI: 10.1111/j.1530-0277.2010.01346.x] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Ethanol is metabolized by 2 rate-limiting reactions: alcohol dehydrogenases (ADH) convert ethanol to acetaldehyde that is subsequently metabolized to acetate by aldehyde dehydrogenases (ALDH). Approximately 50% of East Asians have genetic variants that significantly impair this pathway and influence alcohol dependence (AD) vulnerability. We investigated whether variation in alcohol metabolism genes might alter the AD risk in four non-East Asian populations by performing systematic haplotype association analyses to maximize the chances of capturing functional variation. METHODS Haplotype-tagging SNPs were genotyped using the Illumina GoldenGate platform. Genotypes were available for 40 SNPs across the ADH genes cluster and 24 SNPs across the two ALDH genes in four diverse samples that included cases (lifetime AD) and controls (no Axis 1 disorders). The case control sample sizes were the following: Finnish Caucasians: 232, 194; African Americans: 267, 422; Plains American Indians: 226, 110; and Southwestern American (SW) Indians: 317, 72. RESULTS In all four populations, as well as HapMap populations, 5 haplotype blocks were identified across the ADH gene cluster: (i) ADH5-ADH4; (ii) ADH6-ADH1A-ADH1B; (iii) ADH1C; (iv) intergenic; (v) ADH7. The ALDH1A1 gene was defined by 4 blocks and ALDH2 by 1 block. No haplotype or SNP association results were significant after correction for multiple comparisons; however, several results, particularly for ALDH1A1 and ADH4, replicated earlier findings. There was an ALDH1A1 block 1 and 2 (extending from intron 5 to the 3' UTR) yin yang haplotype (haplotypes that have opposite allelic configuration) association with AD in the Finns driven by SNPs rs3764435 and rs2303317, respectively, and an ALDH1A1 block 3 (including the promoter region) yin yang haplotype association in SW Indians driven by 5 SNPs, all in allelic identity. The ADH4 SNP rs3762894 was associated with AD in Plains Indians. CONCLUSIONS The systematic evaluation of alcohol-metabolizing genes in four non-East Asian populations has shown only modest associations with AD, largely for ALDH1A1 and ADH4. A concentration of signals for AD with ALDH1A1 yin yang haplotypes in several populations warrants further study.
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Affiliation(s)
- Jixia Liu
- From the Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, Maryland 20892, USA.
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McCarthy DM, Pedersen SL, Lobos EA, Todd RD, Wall TL. ADH1B*3 and response to alcohol in African-Americans. Alcohol Clin Exp Res 2010; 34:1274-81. [PMID: 20477764 DOI: 10.1111/j.1530-0277.2010.01205.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Variations in the alleles for the alcohol-metabolizing enzymes have been shown to influence risk for alcohol dependence. One variant, ADH1B*3, is observed almost exclusively in populations of African ancestry and has been shown to be associated with reduced rates of alcohol dependence. We conducted an alcohol challenge study to test whether ADH1B*3 is associated with differences in subjective and physiological response to alcohol. METHOD We administered a moderate dose of alcohol (0.72 g/kg for males, 0.65 g/kg for females) to a sample of African-American young adults (n = 91; ages 21 to 26). Participants were genotyped for ADH1B, as well as additional polymorphisms that might contribute to alcohol response. Breath alcohol concentration, self-reported sedation and stimulation, and pulse rate were assessed prior to alcohol administration and for 2.5 hours following administration. RESULTS ADH1B*3 was associated with higher levels of sedation and a sharper increase in pulse rate immediately following alcohol consumption. CONCLUSIONS These findings suggest that the lower rates of alcohol dependence in those with ADH1B*3 alleles may be because of differences in alcohol response, particularly increased sedation.
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Affiliation(s)
- Denis M McCarthy
- Department of Psychological Sciences, University of Missouri, Columbia, USA.
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Khokhar JY, Ferguson CS, Zhu AZX, Tyndale RF. Pharmacogenetics of drug dependence: role of gene variations in susceptibility and treatment. Annu Rev Pharmacol Toxicol 2010; 50:39-61. [PMID: 20055697 DOI: 10.1146/annurev.pharmtox.010909.105826] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Drug dependency is a highly prevalent mental health disorder that imposes a significant burden on those directly affected, health care systems, and society in general. There is substantial heritability in the susceptibility to drug addiction, which indicates that there are genetic risk factors. Variation in the human genome is abundant and can directly affect drug dependency phenotypes, for example, by altering the function of a gene product or by altering gene expression. Pharmacogenetic studies can assess the effects of genetic variation on the risk for a particular phenotype (e.g., being an alcoholic). In addition, pharmacogenetic variability in treatment efficacy and adverse reactions can be investigated to identify particular genetic variants associated with altered responses. This review highlights examples of genetic variations that are important in the development and maintenance of specific drug dependencies as well as those that affect the response to treatment.
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Affiliation(s)
- Jibran Y Khokhar
- The Center for Addiction and Mental Health and the Department of Pharmacology and Toxicology, University of Toronto, Ontario, Canada
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Zuo L, Gelernter J, Kranzler HR, Stein MB, Zhang H, Wei F, Sen S, Poling J, Luo X. ADH1A variation predisposes to personality traits and substance dependence. Am J Med Genet B Neuropsychiatr Genet 2010; 153B:376-386. [PMID: 19526455 PMCID: PMC2861415 DOI: 10.1002/ajmg.b.30990] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Human personality traits are strong predictors or characteristics of many psychiatric disorders including substance dependence (SD). Recently, significant associations between alcohol dehydrogenase type 1A gene (ADH1A) and SD have been reported, which led us to investigate the impact of ADH1A variation on personality traits and risk of SD. Five hundred fifty-eight subjects with SD [398 European-Americans (EAs) and 160 African-Americans (AAs)], 517 college students (384 EAs and 133 European-origin Hispanics), and 448 healthy subjects (385 EAs, 48 AAs, and 15 European-origin Hispanics) participated. Personality traits were assessed in 247 subjects with SD (179 EAs and 68 AAs), all 517 college students, and 332 healthy subjects (285 EAs, 40 AAs, and 7 European-origin Hispanics). The relationships between ADH1A and personality traits were comprehensively examined using stepwise multivariate analysis of covariance (MANCOVA), and then decomposed by stepwise analysis of covariance (ANCOVA). The relationship between ADH1A and SD was examined using stepwise logistic regression analysis. Admixture effects on analyses were considered. Overall, Agreeableness and Conscientiousness were associated with the diplotypes, haplotypes, genotypes, and/or alleles of ADH1A in three of four phenotype groups including EA SD subjects, healthy subjects, and AA SD subjects (1.7 x 10(-4) <or= P <or= 0.055), but not college students. Neuroticism was associated with diplotype, haplotypes and genotypes in AA SD subjects (0.001 <or= P <or= 0.031). In addition, SD was associated with diplotypes, haplotypes, genotypes, and/or alleles of ADH1A (0.008 <or= P <or= 0.060). The present study demonstrates that the ADH1A variation may contribute to the genetic component of variation in personality traits and SD.
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Affiliation(s)
- Lingjun Zuo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,VA Connecticut Healthcare System, West Haven Campus, CT
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,VA Connecticut Healthcare System, West Haven Campus, CT,Departments of Genetics and Neurobiology, Yale University School of Medicine, New Haven, CT
| | - Henry R. Kranzler
- Alcohol Research Center, Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT
| | - Murray B. Stein
- Departments of Psychiatry and Family & Preventive Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Huiping Zhang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,VA Connecticut Healthcare System, West Haven Campus, CT
| | - Feng Wei
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,VA Connecticut Healthcare System, West Haven Campus, CT
| | - Srijan Sen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - James Poling
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,VA Connecticut Healthcare System, West Haven Campus, CT
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,VA Connecticut Healthcare System, West Haven Campus, CT,Corresponding author and reprints: Xingguang Luo, MD, PhD; Yale University School of Medicine; VA Psychiatry 116A2; 950 Campbell Avenue; West Haven, CT 06516. ; Tel: 203-932-5711 ext 3590; Fax: 203-937-4741
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Abstract
BACKGROUND Straub et al. (2002b) located a susceptibility region for schizophrenia at the DTNBP1 locus. At least 40 studies (including one study in US populations) attempted to replicate this original finding, but the reported findings are highly diverse and at least five pathways by which dysbindin protein might be involved in schizophrenia have been proposed. This study aimed to test the association in two common US populations by using powerful analytic methods. METHODS Six markers at DTNBP1 were genotyped by mass spectroscopy ('MassARRAY' technique) in a sample of 663 individuals, including 346 healthy individuals European-Americans (EAs) and 48 African-Americans (AAs), and 317 individuals with schizophrenia (235 EAs and 82 AAs). Thirty-eight ancestry-informative markers were genotyped in this sample to infer the ancestry proportions. Diplotype, haplotype, genotype, and allele frequency distributions were compared between the cases and controls, controlling for possible population stratification, admixture, and sex-specific effects, and taking interaction effects into account, using a logistic regression analysis (an extended structured association method). RESULTS Conventional case-control comparisons showed that genotypes of the markers P1578 (rs1018381) and P1583 (rs909706) were nominally associated with schizophrenia in EAs and in AAs, respectively. These associations became less or nonsignificant after controlling for population stratification and admixture effects (using structured association or regression analysis), and became nonsignificant after correction for multiple testing. However, regression analysis showed that the common diplotypes (ACCCTT/GCCGCC or GCCGCC/GCCGCC) and the interaction effects of haplotypes GCCGCC/GCCGCC significantly affected risk for schizophrenia in EAs, effects that were modified by sex. Fine-mapping using d or J statistics located the specific markers (d: P1328; J: P1333) closest to the putative risk sites in EAs. CONCLUSION This study shows that DTNBP1 is a risk gene for schizophrenia in EAs. Variation at DTNBP1 may modify risk for schizophrenia in this population.
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The efficacies of clozapine and haloperidol in refractory schizophrenia are related to DTNBP1 variation. Pharmacogenet Genomics 2009; 19:437-46. [PMID: 19369910 DOI: 10.1097/fpc.0b013e32832b9cfc] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The prototypical atypical antipsychotic agent, clozapine, is more efficacious for refractory schizophrenia than the 'typical' antipsychotics, but the mechanism underlying this enhanced efficacy is still under investigation. Since 2002, at least 22 association studies have shown that the DTNBP1 can be associated with the risk for schizophrenia. We hypothesized that DTNBP1 might also influence the response to antipsychotic treatments. This study aimed to investigate the relationship between the DTNBP1 and the effects of clozapine and haloperidol on refractory schizophrenia. METHODS Patients with refractory schizophrenia were assigned to clozapine (n=85) or haloperidol (n=96) and followed for 3 months. Symptom improvement was evaluated by Positive and Negative Syndrome Scale score. Six markers at DTNBP1 and 38 ancestry-informative markers were genotyped in all participants. The relationships between the effects of antipsychotics and the diplotypes, haplotypes, genotypes, and alleles of DTNBP1 were tested by analysis of covariance, analysis of variance, and t-test. RESULTS Patients with diplotype ACCCTC/GTTGCC, genotypes T/T+T/C, or allele T of marker rs742105 (P1333) have better response to clozapine (0.005< or =P< or =0.049), and patients with diplotype ACCCTC/GCCGCC, genotype A/G, or allele A of marker rs909706 (P1583) have better response to haloperidol (0.007< or =P< or =0.080) in European-Americans, African-Americans, and/or the combined sample; European-American patients with diplotype ACCCTC/GCCGCC have worse response to clozapine on positive symptoms (P=0.011). CONCLUSION This study shows that the DTNBP1 gene modulates the effects of both the atypical antipsychotic clozapine and the typical antipsychotic haloperidol. Participants with different DTNBP1 diplotypes, haplotypes, genotypes, or alleles might have different responses to these antipsychotics.
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Zuccolo L, Fitz-Simon N, Gray R, Ring SM, Sayal K, Smith GD, Lewis SJ. A non-synonymous variant in ADH1B is strongly associated with prenatal alcohol use in a European sample of pregnant women. Hum Mol Genet 2009; 18:4457-66. [PMID: 19687126 PMCID: PMC2766294 DOI: 10.1093/hmg/ddp388] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Pregnant women are advised to abstain from alcohol despite insufficient evidence on the fetal consequences of moderate prenatal alcohol use. Mendelian randomization could help distinguish causal effects from artifacts due to residual confounding and measurement errors; however, polymorphisms reliably associated with alcohol phenotypes are needed. We aimed to test whether alcohol dehydrogenase (ADH) gene variants were associated with alcohol use before and during pregnancy. Ten variants in four ADH genes were genotyped in women from South-West England. Phenotypes of interest were quantity and patterns of alcohol consumption before and during pregnancy, including quitting alcohol following pregnancy recognition. We tested single-locus associations between genotypes and phenotypes with regression models. We used Bayesian models (multi-locus) to take account of linkage disequilibrium and reanalyzed the data with further exclusions following two conservative definitions of ‘white ethnicity’ based on the woman's reported parental ethnicity or a set of ancestry-informative genetic markers. Single-locus analyses on 7410 women of white/European background showed strong associations for rs1229984 (ADH1B). Rare allele carriers consumed less alcohol before pregnancy [odds ratio (OR) = 0.69; 95% confidence interval (CI): 0.56–0.86, P = 0.001], were less likely to have ‘binged’ during pregnancy (OR = 0.55, 95% CI: 0.38–0.78, P = 0.0009), and more likely to have abstained in the first trimester of gestation (adjusted OR = 1.42, 95% CI: 1.12–1.80, P = 0.004). Multi-locus models confirmed these results. Sensitivity analyses did not suggest the presence of residual population stratification. We confirmed the established association of rs1229984 with reduced alcohol consumption over the life-course, contributing new evidence of an effect before and during pregnancy.
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Affiliation(s)
- Luisa Zuccolo
- Department of Social Medicine, University of Bristol, Bristol, UK.
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Treutlein J, Cichon S, Ridinger M, Wodarz N, Soyka M, Zill P, Maier W, Moessner R, Gaebel W, Dahmen N, Fehr C, Scherbaum N, Steffens M, Ludwig KU, Frank J, Wichmann HE, Schreiber S, Dragano N, Sommer WH, Leonardi-Essmann F, Lourdusamy A, Gebicke-Haerter P, Wienker TF, Sullivan PF, Nöthen MM, Kiefer F, Spanagel R, Mann K, Rietschel M. Genome-wide association study of alcohol dependence. ACTA ACUST UNITED AC 2009; 66:773-84. [PMID: 19581569 DOI: 10.1001/archgenpsychiatry.2009.83] [Citation(s) in RCA: 292] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
CONTEXT Alcohol dependence is a serious and common public health problem. It is well established that genetic factors play a major role in the development of this disorder. Identification of genes that contribute to alcohol dependence will improve our understanding of the mechanisms that underlie this disorder. OBJECTIVE To identify susceptibility genes for alcohol dependence through a genome-wide association study (GWAS) and a follow-up study in a population of German male inpatients with an early age at onset. DESIGN The GWAS tested 524,396 single-nucleotide polymorphisms (SNPs). All SNPs with P < 10(-4) were subjected to the follow-up study. In addition, nominally significant SNPs from genes that had also shown expression changes in rat brains after long-term alcohol consumption were selected for the follow-up step. SETTING Five university hospitals in southern and central Germany. PARTICIPANTS The GWAS included 487 male inpatients with alcohol dependence as defined by the DSM-IV and an age at onset younger than 28 years and 1358 population-based control individuals. The follow-up study included 1024 male inpatients and 996 age-matched male controls. All the participants were of German descent. MAIN OUTCOME MEASURES Significant association findings in the GWAS and follow-up study with the same alleles. RESULTS The GWAS produced 121 SNPs with nominal P < 10(-4). These, together with 19 additional SNPs from homologues of rat genes showing differential expression, were genotyped in the follow-up sample. Fifteen SNPs showed significant association with the same allele as in the GWAS. In the combined analysis, 2 closely linked intergenic SNPs met genome-wide significance (rs7590720, P = 9.72 x 10(-9); rs1344694, P = 1.69 x 10(-8)). They are located on chromosome region 2q35, which has been implicated in linkage studies for alcohol phenotypes. Nine SNPs were located in genes, including the CDH13 and ADH1C genes, that have been reported to be associated with alcohol dependence. CONCLUSIONS This is the first GWAS and follow-up study to identify a genome-wide significant association in alcohol dependence. Further independent studies are required to confirm these findings.
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Affiliation(s)
- Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
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Shibata K, Diatchenko L, Zaykin DV. Haplotype associations with quantitative traits in the presence of complex multilocus and heterogeneous effects. Genet Epidemiol 2009; 33:63-78. [PMID: 18636529 DOI: 10.1002/gepi.20358] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
In genetic mapping of complex traits, scored haplotypes are likely to represent only a subset of all causal polymorphisms. At the extreme of this scenario, observed polymorphisms are not themselves functional, and only linked to causal ones via linkage disequilibrium (LD). We will demonstrate that due to such incomplete knowledge regarding the underlying genetic mechanism, the variance of a trait may become different between the scored haplotypes. Thus, unequal variances between haplotypes may be indicative of additional functional polymorphisms affecting the trait. Methods accounting for such haplotype-specific variance may also provide an increased power to detect complex associations. We suggest ways to estimate and test these haplotypic variance contrasts, and incorporate them into the haplotypic tests for association. We further extend this approach to data with unknown gametic phase via likelihood-based simultaneous estimation of haplotypic effects and their frequencies. We find our approach to provide additional power, especially under the following types of models: (a) where scored and unobserved variants are epistatically interacting with each other; and (b) under heterogeneity models, where multiple unobserved mutations are linked to non-functional observed polymorphisms via LD. An illustrative example of usefulness of the method is discussed, utilizing analysis of multilocus effects within the catechol-O-methyltransferase gene.
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Affiliation(s)
- Kyoko Shibata
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina 27709, USA
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Levran O, Londono D, O'Hara K, Randesi M, Rotrosen J, Casadonte P, Linzy S, Ott J, Adelson M, Kreek MJ. Heroin addiction in African Americans: a hypothesis-driven association study. GENES BRAIN AND BEHAVIOR 2009; 8:531-40. [PMID: 19500151 DOI: 10.1111/j.1601-183x.2009.00501.x] [Citation(s) in RCA: 85] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Heroin addiction is a chronic complex disease with a substantial genetic contribution. This study was designed to identify gene variants associated with heroin addiction in African Americans. The emphasis was on genes involved in reward modulation, behavioral control, cognitive function, signal transduction and stress response. We have performed a case-control association analysis by screening with 1350 variants of 130 genes. The sample consisted of 202 former severe heroin addicts in methadone treatment and 167 healthy controls with no history of drug abuse. Single nucleotide polymorphism (SNP), haplotype and multi-SNP genotype pattern analyses were performed. Seventeen SNPs showed point-wise significant association with heroin addiction (nominal P< 0.01). These SNPs are from genes encoding several receptors: adrenergic (ADRA1A), arginine vasopressin (AVPR1A), cholinergic (CHRM2), dopamine (DRD1), GABA-A (GABRB3), glutamate (GRIN2A) and serotonin (HTR3A) as well as alcohol dehydrogenase (ADH7), glutamic acid decarboxylase (GAD1 and GAD2), the nucleoside transporter (SLC29A1) and diazepam-binding inhibitor (DBI). The most significant result of the analyses was obtained for the GRIN2A haplotype G-A-T (rs4587976-rs1071502-rs1366076) with protective effect (P(uncorrected) = 9.6E- 05, P(corrected) = 0.058). This study corroborates several reported associations with alcohol and drug addiction as well as other related disorders and extends the list of variants that may affect the development of heroin addiction. Further studies will be necessary to replicate these associations and to elucidate the roles of these variants in drug addiction vulnerability.
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Affiliation(s)
- O Levran
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY 10065, USA.
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Gelernter J, Kranzler HR. Genetics of alcohol dependence. Hum Genet 2009; 126:91-9. [PMID: 19533172 DOI: 10.1007/s00439-009-0701-2] [Citation(s) in RCA: 98] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2009] [Accepted: 06/03/2009] [Indexed: 11/28/2022]
Abstract
Alcohol dependence (AD), a genetically influenced phenotype, is extremely costly to individuals and to society in the United States and throughout the world, contributing to morbidity and mortality and a host of economic, interpersonal, and societal problems. Although until recently the only genes established to affect risk for AD were those encoding several alcohol metabolizing enzymes, there are now several other genes that can be regarded as confirmed risk loci, discovered through linkage and candidate gene association studies. While the mechanism of action of the effects of alcohol-metabolizing enzymes on AD risk is thought to be well understood, we are still in the early stages of understanding the physiology of other risk loci. Further, it is clear that only a small number of the many genes that influence risk for AD have been identified. Newer methodologies (e.g., genomewide association, study of copy number variation, and deep sequencing of candidate loci to identify rare risk variants) that have improved our understanding of other complex traits hold the promise of identifying a greater set of AD susceptibility loci.
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Affiliation(s)
- Joel Gelernter
- Department of Psychiatry, VAMC 116A2, Yale University School of Medicine, 950 Campbell Avenue, West Haven, CT 06516, USA.
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Li H, Borinskaya S, Yoshimura K, Kal’ina N, Marusin A, Stepanov VA, Qin Z, Khaliq S, Lee MY, Yang Y, Mohyuddin A, Gurwitz D, Mehdi SQ, Rogaev E, Jin L, Yankovsky NK, Kidd JR, Kidd KK. Refined geographic distribution of the oriental ALDH2*504Lys (nee 487Lys) variant. Ann Hum Genet 2009; 73:335-45. [PMID: 19456322 PMCID: PMC2846302 DOI: 10.1111/j.1469-1809.2009.00517.x] [Citation(s) in RCA: 209] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Mitochondrial aldehyde dehydrogenase (ALDH2) is one of the most important enzymes in human alcohol metabolism. The oriental ALDH2*504Lys variant functions as a dominant negative, greatly reducing activity in heterozygotes and abolishing activity in homozygotes. This allele is associated with serious disorders such as alcohol liver disease, late onset Alzheimer disease, colorectal cancer, and esophageal cancer, and is best known for protection against alcoholism. Many hundreds of papers in various languages have been published on this variant, providing allele frequency data for many different populations. To develop a highly refined global geographic distribution of ALDH2*504Lys, we have collected new data on 4,091 individuals from 86 population samples and assembled published data on a total of 80,691 individuals from 366 population samples. The allele is essentially absent in all parts of the world except East Asia. The ALDH2*504Lys allele has its highest frequency in Southeast China, and occurs in most areas of China, Japan, Korea, Mongolia, and Indochina with frequencies gradually declining radially from Southeast China. As the indigenous populations in South China have much lower frequencies than the southern Han migrants from Central China, we conclude that ALDH2*504Lys was carried by Han Chinese as they spread throughout East Asia. Esophageal cancer, with its highest incidence in East Asia, may be associated with ALDH2*504Lys because of a toxic effect of increased acetaldehyde in the tissue where ingested ethanol has its highest concentration. While the distributions of esophageal cancer and ALDH2*504Lys do not precisely correlate, that does not disprove the hypothesis. In general the study of fine scale geographic distributions of ALDH2*504Lys and diseases may help in understanding the multiple relationships among genes, diseases, environments, and cultures.
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Affiliation(s)
- Hui Li
- Department of Genetics, School of Medicine, Yale University, New Haven 06520-8005 USA
- MOE Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Svetlana Borinskaya
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991 Russia
| | - Kimio Yoshimura
- Genetics Division, National Cancer Center Research Institute, Tokyo 104-0045 Japan; Current address: Department of Health Policy and Management, School of Medicine, Keio University, Tokyo 160-8582 Japan
| | - Nina Kal’ina
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991 Russia
| | - Andrey Marusin
- Institute of Medical Genetics, Tomsk Research Center, Russian Academy of Medical Sciences, Tomsk 634050 Russia
| | - Vadim A. Stepanov
- Institute of Medical Genetics, Tomsk Research Center, Russian Academy of Medical Sciences, Tomsk 634050 Russia
| | - Zhendong Qin
- MOE Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Shagufta Khaliq
- Sindh Institute of Urology and Transplantation (SIUT), Karachi 74200 Pakistan
| | - Mi-Young Lee
- Department of Genetics, School of Medicine, Yale University, New Haven 06520-8005 USA
- Current address: Department of Preventive Medicine, School of Medicine, Keimyung University, Daegu 700-712 Republic of Korea
| | - Yajun Yang
- MOE Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Aisha Mohyuddin
- Shifa College of Medicine, Section of Biochemistry H-8/4, Islamabad 44000 Pakistan
| | - David Gurwitz
- National Laboratory for the Genetics of Israeli Populations, Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Syed Qasim Mehdi
- Sindh Institute of Urology and Transplantation (SIUT), Karachi 74200 Pakistan
| | - Evgeny Rogaev
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991 Russia
- Brudnick Neuropsychiatric Research Institute, Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts 01604, USA
- Research Center of Mental Health, Russian Academy of Medical Sciences, Moscow 113152 Russia
| | - Li Jin
- MOE Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
| | - Nikolay K. Yankovsky
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991 Russia
| | - Judith R. Kidd
- Department of Genetics, School of Medicine, Yale University, New Haven 06520-8005 USA
| | - Kenneth K. Kidd
- Department of Genetics, School of Medicine, Yale University, New Haven 06520-8005 USA
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Peng GS, Yin SJ. Effect of the allelic variants of aldehyde dehydrogenase ALDH2*2 and alcohol dehydrogenase ADH1B*2 on blood acetaldehyde concentrations. Hum Genomics 2009; 3:121-7. [PMID: 19164089 PMCID: PMC3525274 DOI: 10.1186/1479-7364-3-2-121] [Citation(s) in RCA: 103] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Alcoholism is a complex behavioural disorder. Molecular genetics studies have identified numerous candidate genes associated with alcoholism. It is crucial to verify the disease susceptibility genes by correlating the pinpointed allelic variations to the causal phenotypes. Alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH) are the principal enzymes responsible for ethanol metabolism in humans. Both ADH and ALDH exhibit functional polymorphisms among racial populations; these polymorphisms have been shown to be the important genetic determinants in ethanol metabolism and alcoholism. Here, we briefly review recent advances in genomic studies of human ADH/ALDH families and alcoholism, with an emphasis on the pharmacogenetic consequences of venous blood acetaldehyde in the different ALDH2 genotypes following the intake of various doses of ethanol. This paper illustrates a paradigmatic example of phenotypic verifications in a protective disease gene for substance abuse.
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Affiliation(s)
- Giia-Sheun Peng
- Department of Neurology, Tri-Service General Hospital, Taipei, Taiwan
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Hendershot CS, Collins SE, George WH, Wall TL, McCarthy DM, Liang T, Larimer ME. Associations of ALDH2 and ADH1B genotypes with alcohol-related phenotypes in Asian young adults. Alcohol Clin Exp Res 2009; 33:839-47. [PMID: 19298323 DOI: 10.1111/j.1530-0277.2009.00903.x] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Associations of ALDH2 and ADH1B genotypes with alcohol use have been evaluated largely using case-control studies, which typically focus on adult samples and dichotomous diagnostic outcomes. Relatively fewer studies have evaluated ALDH2 and ADH1B in relation to continuous drinking outcomes or at different developmental stages. This study examined additive and interactive effects of ALDH2 and ADH1B genotypes on drinking behavior in a mixed-gender sample of Asian young adults, focusing on continuous phenotypes (e.g., heavy episodic and hazardous drinking, alcohol sensitivity, drinking consequences) whose expression is expected to precede the onset of alcohol use disorders. METHODS The sample included 182 Chinese- and Korean-American young adults ages 18 years and older (mean age = 20 years). Effects of ALDH2, ADH1B and ethnicity were estimated using generalized linear modeling. RESULTS The ALDH2*2 allele predicted lower reported rates of alcohol use and drinking consequences as well as greater reported sensitivity to alcohol. There were significant ethnic group differences in drinking outcomes, such that Korean ethnicity predicted higher drinking rates and lower alcohol sensitivity. ADH1B status was not significantly related to drinking outcomes. CONCLUSIONS Ethnicity and ALDH2 status, but not ADH1B status, consistently explained significant variance in alcohol consumption in this relatively young sample. Results extend previous work by showing an association of ALDH2 genotype with drinking consequences. Findings are discussed in the context of possible developmental and population differences in the influence of ALDH2 and ADH1B variations on alcohol-related phenotypes.
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Keyes KM, Geier T, Grant BF, Hasin DS. Influence of a drinking quantity and frequency measure on the prevalence and demographic correlates of DSM-IV alcohol dependence. Alcohol Clin Exp Res 2009; 33:761-71. [PMID: 19298332 DOI: 10.1111/j.1530-0277.2009.00894.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Recent research suggests that adding a quantity/frequency alcohol consumption measure to diagnoses of alcohol use disorders may improve construct validity of the diagnoses for Diagnostic and Statistical Manual of Mental and Behavior Disorders (DSM-V). This study explores the epidemiological impact of including weekly at-risk drinking (WAD) in the DMS-IV diagnostic definition of alcohol dependence via 3 hypothetical reformulations of the current criteria. METHODS The sample was the National Epidemiologic Survey on Alcohol and Related Conditions, a nationally representative sample with 43,093 adults aged >18 in the U.S interviewed with the Alcohol Use Disorder and Associated Disabilities Interview Schedule IV. The current (DSM-IV) definition of alcohol dependence was compared with 4 hypothetical alcohol dependence reformulations that included WAD: (1) WAD added as an eighth criteria; (2) WAD required for a diagnosis; (3) adding abuse and dependence criteria together, and including WAD with a 3 of 12 symptom threshold; (4) adding abuse and dependence criteria together, and including WAD with a 5 of 12 symptom threshold. RESULTS The inclusion of at-risk drinking as an eighth criterion of alcohol dependence has a minimal impact on the sociodemographic correlates of alcohol dependence but substantially increases the prevalence of dependence (from 3.8% to 5.0%). At-risk drinking as a required criterion or as part of a diagnosis that combines abuse with dependence criteria with a higher threshold (5+ criteria) decreases prevalence and has a larger impact on sociodemographic correlates. Blacks, Hispanics, and women are less likely to be included in diagnostic reformulations that include WAD, whereas individuals with low-income and education are more likely to remain diagnosed. CONCLUSIONS Including WAD as either a requirement of diagnosis or as an additional criterion would have a large impact on the prevalence of alcohol dependence in the general population. The inclusion of a quantity/frequency requirement may eliminate false positives from studies of alcohol disorder etiology and improve phenotype definition for genetic association studies by reducing heterogeneity in the diagnosis, but may also reduce eligibility for treatment services among women and racial/ethnic minorities compared.
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Affiliation(s)
- Katherine M Keyes
- New York State Psychiatric Institute, 1051 Riverside Drive #123, New York, NY 10032, USA
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72
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Ethanol intake and ethanol-induced locomotion and locomotor sensitization in Cyp2e1 knockout mice. Pharmacogenet Genomics 2009; 19:217-25. [DOI: 10.1097/fpc.0b013e328324e726] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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73
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Chen YC, Peng GS, Wang MF, Tsao TP, Yin SJ. Polymorphism of ethanol-metabolism genes and alcoholism: Correlation of allelic variations with the pharmacokinetic and pharmacodynamic consequences. Chem Biol Interact 2009; 178:2-7. [PMID: 19014920 DOI: 10.1016/j.cbi.2008.10.029] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2008] [Revised: 10/14/2008] [Accepted: 10/17/2008] [Indexed: 10/21/2022]
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Birley AJ, James MR, Dickson PA, Montgomery GW, Heath AC, Martin NG, Whitfield JB. ADH single nucleotide polymorphism associations with alcohol metabolism in vivo. Hum Mol Genet 2009; 18:1533-42. [PMID: 19193628 DOI: 10.1093/hmg/ddp060] [Citation(s) in RCA: 67] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
We have previously found that variation in alcohol metabolism in Europeans is linked to the chromosome 4q region containing the ADH gene family. We have now typed 103 single nucleotide polymorphisms (SNPs) across this region to test for allelic associations with variation in blood and breath alcohol concentrations after an alcohol challenge. In vivo alcohol metabolism was modelled with three parameters that identified the absorption and rise of alcohol concentration following ingestion, and the rate of elimination. Alleles of ADH7 SNPs were associated with the early stages of alcohol metabolism, with additional effects in the ADH1A, ADH1B and ADH4 regions. Rate of elimination was associated with SNPs in the intragenic region between ADH7 and ADH1C, and across ADH1C and ADH1B. SNPs affecting alcohol metabolism did not correspond to those reported to affect alcohol dependence or alcohol-related disease. The combined SNP associations with early- and late-stage metabolism only account for approximately 20% of the total genetic variance linked to the ADH region, and most of the variance for in vivo alcohol metabolism linked to this region is yet to be explained.
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Affiliation(s)
- Andrew J Birley
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Brisbane, Queensland 4029, Australia
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75
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Gelernter J, Kranzler HR, Panhuysen C, Weiss RD, Brady K, Poling J, Farrer L. Dense genomewide linkage scan for alcohol dependence in African Americans: significant linkage on chromosome 10. Biol Psychiatry 2009; 65:111-5. [PMID: 18930185 PMCID: PMC2646253 DOI: 10.1016/j.biopsych.2008.08.036] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2008] [Revised: 08/29/2008] [Accepted: 08/31/2008] [Indexed: 10/21/2022]
Abstract
BACKGROUND Alcohol dependence (AD) is costly to societies worldwide, moderately heritable, and genetically complex. Risk loci in several populations have been identified with genetic linkage analysis. To date, there has been no published linkage study of AD focused on African Americans (AAs). METHODS We completed a genomewide linkage scan with approximately 6000 single nucleotide polymorphism markers to map loci increasing risk for DSM-IV AD in a set of 238 small nuclear families ascertained on the basis of multiple individuals affected with cocaine or opioid dependence. Model free linkage analysis was completed with Merlin software. A modified marker set was used to avoid bias due to markers in strong linkage disequilibrium. RESULTS We identified a genomewide-significant linkage to markers near 117.2 centiMorgans on chromosome 10q23.3-24.1 (logarithm of odds score 3.32; p = 5.0E-05; empirical genomewide p = .033). CONCLUSIONS These data add to the growing evidence for locations for AD risk loci and provide the first linkage evidence for such a locus in the AA population.
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Affiliation(s)
- Joel Gelernter
- Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, New Haven, CT, USA.
| | - Henry R. Kranzler
- University of Connecticut School of Medicine, Department of Psychiatry, Farmington, CT
| | - Carolien Panhuysen
- Boston University School of Medicine, Dept. of Medicine (Genetics Program) and School of Public Health, Department of Biostatistics
| | - Roger D. Weiss
- Alcohol and Drug Abuse Treatment Program, McLean Hospital, Belmont, MA and the Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Kathleen Brady
- Medical University of South Carolina, Department of Psychiatry, Charleston, SC
| | - James Poling
- Yale University School of Medicine, Department of Psychiatry, Division of Human Genetics; and VA CT Healthcare Center
| | - Lindsay Farrer
- Boston University School of Medicine, Dept. of Medicine (Genetics Program) and School of Public Health, Department of Biostatistics
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Macgregor S, Lind PA, Bucholz KK, Hansell NK, Madden PAF, Richter MM, Montgomery GW, Martin NG, Heath AC, Whitfield JB. Associations of ADH and ALDH2 gene variation with self report alcohol reactions, consumption and dependence: an integrated analysis. Hum Mol Genet 2008; 18:580-93. [PMID: 18996923 DOI: 10.1093/hmg/ddn372] [Citation(s) in RCA: 159] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Alcohol dependence (AD) is a complex disorder with environmental and genetic origins. The role of two genetic variants in ALDH2 and ADH1B in AD risk has been extensively investigated. This study tested for associations between nine polymorphisms in ALDH2 and 41 in the seven ADH genes, and alcohol-related flushing, alcohol use and dependence symptom scores in 4597 Australian twins. The vast majority (4296) had consumed alcohol in the previous year, with 547 meeting DSM-IIIR criteria for AD. There were study-wide significant associations (P<2.3 x 10(-4)) between ADH1B-Arg48His (rs1229984) and flushing and consumption, but only nominally significant associations (P<0.01) with dependence. Individuals carrying the rs1229984 G-allele (48Arg) reported a lower prevalence of flushing after alcohol (P=8.2 x 10(-7)), consumed alcohol on more occasions (P=2.7 x 10(-6)), had a higher maximum number of alcoholic drinks in a single day (P=2.7 x 10(-6)) and a higher overall alcohol consumption (P=8.9 x 10(-8)) in the previous year than those with the less common A-allele (48His). After controlling for rs1229984, an independent association was observed between rs1042026 (ADH1B) and alcohol intake (P=4.7 x 10(-5)) and suggestive associations (P<0.001) between alcohol consumption phenotypes and rs1693482 (ADH1C), rs1230165 (ADH5) and rs3762894 (ADH4). ALDH2 variation was not associated with flushing or alcohol consumption, but was weakly associated with AD measures. These results bridge the gap between DNA sequence variation and alcohol-related behavior, confirming that the ADH1B-Arg48His polymorphism affects both alcohol-related flushing in Europeans and alcohol intake. The absence of study-wide significant effects on AD results from the low P-value required when testing multiple single nucleotide polymorphisms and phenotypes.
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Affiliation(s)
- Stuart Macgregor
- Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
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77
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Luo X, Kranzler HR, Zuo L, Zhang H, Gelernter J. ADH7 variation modulates extraversion and conscientiousness in substance-dependent subjects. Am J Med Genet B Neuropsychiatr Genet 2008; 147B:179-86. [PMID: 17918242 PMCID: PMC3160628 DOI: 10.1002/ajmg.b.30589] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Human personality traits have been closely linked to substance dependence (SD), and are partially genetically determined. Recently, associations between alcohol dehydrogenase 7 (ADH7) and SD have been reported, which led us to investigate the relationship between ADH7 variation and personality traits. We assessed dimensions of the five-factor model of personality and genotyped 4 ADH7 markers and 38 unlinked ancestry-informative markers in 244 subjects with SD [178 European-Americans (EAs) and 66 African-Americans (AAs)] and 293 healthy subjects (253 EAs and 40 AAs). The relationships between ADH7 markers and personality traits were comprehensively examined using multivariate analysis of covariance (MANCOVA), and then decomposed by Roy Bargmann Stepdown analysis of covariance (ANCOVA). Generally, older individuals, AAs, and males had significantly lower personality scores (4.7 x 10(-5) < or = P < or = 0.032), as reported previously. In SD subjects, Extraversion was most significantly associated with ADH7 haplotypes (3.7 x 10(-4) < or = P < or = 0.001), diplotypes (0.007 < or = P < or = 0.012), and genotypes (P = 0.001), followed by Conscientiousness (0.005 < or = P < or = 0.033). The contributory haplotype and diplotypes contained the alleles and genotypes of rs284786 (SNP1) and rs1154470 (SNP4). In healthy subjects, other personality factors (except Extraversion) were associated with ADH7 diplotypes (0.005 < or = P < or = 0.016) and genotypes (0.002 < or = P < or = 0.052). Some of the gene effects on personality factors were modified by sex. The present study demonstrated that the ADH7 variation may contribute to the genetic component of variation in personality traits, with the risk for SD and personality traits being partially shared.
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Affiliation(s)
- Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
- VA Connecticut Healthcare System, West Haven Campus, CT
| | - Henry R. Kranzler
- University of Connecticut School of Medicine, Alcohol Research Center, Department of Psychiatry, Farmington, CT
| | - Lingjun Zuo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
- VA Connecticut Healthcare System, West Haven Campus, CT
| | - Huiping Zhang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
- VA Connecticut Healthcare System, West Haven Campus, CT
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
- VA Connecticut Healthcare System, West Haven Campus, CT
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78
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Kuo PH, Kalsi G, Prescott CA, Hodgkinson CA, Goldman D, van den Oord EJ, Alexander J, Jiang C, Sullivan PF, Patterson DG, Walsh D, Kendler KS, Riley BP. Association of ADH and ALDH genes with alcohol dependence in the Irish Affected Sib Pair Study of alcohol dependence (IASPSAD) sample. Alcohol Clin Exp Res 2008; 32:785-95. [PMID: 18331377 DOI: 10.1111/j.1530-0277.2008.00642.x] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND The genes coding for ethanol metabolism enzymes [alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH)] have been widely studied for their influence on the risk to develop alcohol dependence (AD). However, the relation between polymorphisms of these metabolism genes and AD in Caucasian subjects has not been clearly established. The present study examined evidence for the association of alcohol metabolism genes with AD in the Irish Affected Sib Pair Study of alcohol dependence. METHODS We conducted a case-control association study with 575 independent subjects who met Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, AD diagnosis and 530 controls. A total of 77 single nucleotide polymorphisms (SNPs) in the seven ADH (ADH1-7) and two ALDH genes (ALDH1A1 and ALDH2) were genotyped using the Illumina GoldenGate protocols. Several statistical procedures were implemented to control for false discoveries. RESULTS All markers with minor allele frequency greater than 0.01 were in Hardy-Weinberg equilibrium. Numerous SNPs in ADH genes showed association with AD, including one marker in the coding region of ADH1C (rs1693482 in exon6, Ile271Gln). Haplotypic association was observed in the ADH5 and ADH1C genes, and in a long haplotype block formed by the ADH1A and ADH1B loci. We detected two significant interactions between pairs of markers in intron 6 of ADH6 and intron 12 of ALDH2 (p = 5 x 10(-5)), and 5' of both ADH4 and ADH1A (p = 2 x 10(-4)). CONCLUSION We found evidence for the association of several ADH genes with AD in a sample of Western European origin. The significant interaction effects between markers in ADH and ALDH genes suggest possible epistatic roles between alcohol metabolic enzymes in the risk for AD.
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Affiliation(s)
- Po-Hsiu Kuo
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University Hospital 138, National Cheng Kung University, Sheng-Li Road, Tainan 704, Taiwan.
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79
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Bauer LO, Covault J, Harel O, Das S, Gelernter J, Anton R, Kranzler HR. Variation in GABRA2 predicts drinking behavior in project MATCH subjects. Alcohol Clin Exp Res 2008; 31:1780-7. [PMID: 17949392 DOI: 10.1111/j.1530-0277.2007.00517.x] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Previous studies demonstrated, and replicated, an association between single nucleotide polymorphisms (SNPs) within the GABRA2 gene and risk for alcohol dependence. The present study examines the association of a GABRA2 SNP with another definition of alcohol involvement and with the effects of psychosocial treatment. METHODS European-American subjects (n = 812, 73.4% male) provided DNA samples for the analysis. All were participants in Project Matching Alcoholism Treatment to Client Heterogeneity (MATCH), a multi-center randomized clinical trial evaluating the efficacy of 3 types of psychosocial treatment for alcoholism: Cognitive Behavioral Therapy (CBT), Motivational Enhancement Therapy (MET), or twelve-step facilitation (TSF). The daily probabilities of drinking and heavy drinking were estimated during the 12-week treatment and 12-month post-treatment periods. RESULTS Subjects homozygous for the allele associated with low risk for alcohol dependence in previous studies had lower daily probabilities of drinking and heavy drinking in the present study. This low-risk allele was also associated with a greater difference in drinking outcomes between the treatments. In addition, it enhanced the relative superiority of TSF over CBT and MET. Population stratification was excluded as a confound using ancestry informative marker analysis. CONCLUSIONS The assessment of genetic vulnerability may be relevant to studies of the efficacy of psychosocial treatment: GABRA2 genotype modifies the variance in drinking and can therefore moderate power for resolving differences between treatments.
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Affiliation(s)
- Lance O Bauer
- Department of Psychiatry, Alcohol Research Center, University of Connecticut School of Medicine, Farmington, Connecticut 06030-2103, USA
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80
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Dick DM, Agrawal A. The genetics of alcohol and other drug dependence. ALCOHOL RESEARCH & HEALTH : THE JOURNAL OF THE NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM 2008; 31:111-8. [PMID: 23584813 PMCID: PMC3860452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Alcohol dependence and dependence on other drugs frequently co-occur, and strong evidence suggests that both disorders are, at least in part, influenced by genetic factors. Indeed, studies using twins suggest that the overlap between dependence on alcohol and on other drugs largely results from shared genetic factors. This common genetic liability, which also extends to antisocial behavior, has been conceptualized as a general predisposition toward a variety of forms of psychopathology characterized by disinhibited behavior (i.e., externalizing psychopathology). Accordingly, many of the genetic factors affecting risk for dependence on alcohol or other drugs appear to act through a general externalizing factor; however, other genetic factors appear to be specific to a certain disorder. In recent years, researchers have identified numerous genes as affecting risk for dependence on alcohol and other drugs. These include genes involved in alcohol metabolism as well as in the transmission of nerve cell signals and modulation of nerve cell activity (i.e., γ-aminobutyric acid [GABA] and acetylcholinergic neurotransmission and the endogenous opioid and cannabinoid systems).
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81
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Yamada H, Shinmura K, Ikeda S, Tao H, Otani T, Hanaoka T, Tsuneyoshi T, Tsugane S, Sugimura H. Association between CDH1 haplotypes and gastric cancer risk in a Japanese population. Scand J Gastroenterol 2007; 42:1479-85. [PMID: 17852867 DOI: 10.1080/00365520701478436] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVE A c. -285C >A single nucleotide polymorphism (SNP) in the promoter region of the E-cadherin (CDH1) gene, which is a tumor suppressor in gastric cancer (GC), has been shown to decrease gene transcription, but GC case-control studies of this SNP have yielded controversial results. A haplotype study in an Italian population showed that haplotypes based on three SNPs, including the c. -285C >A, are associated with susceptibility to GC. Hence, the purpose of the present study was to carry out a more comprehensive genetic analysis of CDH1 using haplotype-tagging SNPs (htSNPs) in a Japanese case-control study to identify the CDH1 haplotype associated with susceptibility to GC in a Japanese population. MATERIAL AND METHODS First, 11 SNPs in the CDH1 gene were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis in 30 healthy individuals. Haplotype frequencies were estimated with the expectation-maximization algorithm, and 7 common haplotypes of the CDH1 gene whose frequency was at least 3.3% were identified. Next, 5 htSNPs (c. -285C >A, c.48+6T >C, c.164 -3159T >C, c.2076C >T, and c.2296 -616G >C) were genotyped in a hospital-based case-control study of 148 GC patients and 292 age- and gender-matched healthy controls, and haplotype frequencies based on the 5 htSNPs were estimated. RESULTS Although none of the 5 htSNPs was related to an overall risk of GC, frequencies of the ATCTG and CTTTG haplotypes were significantly higher and lower, respectively, in the GC cases than in the controls (p<0.05). CONCLUSIONS These results suggest that the ATCTG and CTTTG CDH1 haplotypes may be associated with an increased risk and decreased risk, respectively, of GC in the Japanese population.
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Affiliation(s)
- Hidetaka Yamada
- First Department of Pathology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
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82
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Peng GS, Chen YC, Tsao TP, Wang MF, Yin SJ. Pharmacokinetic and pharmacodynamic basis for partial protection against alcoholism in Asians, heterozygous for the variant ALDH2*2 gene allele. Pharmacogenet Genomics 2007; 17:845-55. [PMID: 17885622 DOI: 10.1097/fpc.0b013e3282609e67] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES It has been well documented that although homozygosity of the variant aldehyde dehydrogenase-2 (ALDH2) gene allele, ALDH2*2, in Asians almost fully protects against alcoholism, the heterozygosity only affords a partial protection to varying degrees. The full protection against alcoholism has been ascribed to the low-amount of alcohol hypersensitivity accompanied by a prolonged and large accumulation of acetaldehyde in blood (Peng et al. Pharmacogenetics 1999; 9:463-476). The physiological basis for the partial protection, however, remains unclear. METHODS To address this question, we recruited a total of 32 adult Han Chinese men, matched by age, body-mass index, and nutritional state from a population base of 404 men. The subjects were divided into 3 combinatorial genotypic groups of alcohol dehydrogenase (ADH) and ALDH, that is, ALDH2*1/*1-ADH1B*1/*1-ADH1C*1/*1 (n=8), ALDH2*1/*1-ADH1B*2/*2-ADH1C*1/*1 (n=8), and ALDH2*1/*2-ADH1B*2/*2-ADH1C*1/*1 (n=16). Following a moderate dose of ethanol (0.5 g/kg body weight), blood ethanol/acetaldehyde/acetate concentrations, cardiac and extracranial/intracranial arterial hemodynamic parameters, as well as self-rated subjective sensations, were measured for 130 min. RESULTS Heterozygotic ALDH2*1/*2 subjects were found to be strikingly responsive to the moderate amount of alcohol, as evidenced by the prominent cardiovascular effects as well as subjective perceptions of general discomfort for as long as 2 h following ingestion. The ADH1B polymorphisms did not appear to correlate with the pharmacokinetic and pharmacodynamic effects. CONCLUSIONS These results indicate that acetaldehyde, rather than ethanol or acetate, is primarily responsible for the observed alcohol sensitivity reactions and suggest that substantially lower accumulation of blood acetaldehyde in the heterozygotes significantly reduces the aversion reaction to low amounts of alcohol that permits other biological as well as environmental factors to facilitate drinking and the according risk for the disease.
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Affiliation(s)
- Giia-Sheun Peng
- Department of Neurology, Tri-Service General Hospital dDepartment of Biochemistry, National Defense Medical Center, Taipei, Taiwan, ROC
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83
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Zuo L, Kranzler HR, Luo X, Covault J, Gelernter J. CNR1 variation modulates risk for drug and alcohol dependence. Biol Psychiatry 2007; 62:616-26. [PMID: 17509535 DOI: 10.1016/j.biopsych.2006.12.004] [Citation(s) in RCA: 93] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2006] [Revised: 11/27/2006] [Accepted: 12/01/2006] [Indexed: 01/24/2023]
Abstract
BACKGROUND Human cannabinoid receptor 1 (CB1), which is encoded by the CNR1 gene, may play a role in the development of substance dependence (SD). Following initial reports of association of CNR1 with SD, we studied multiple markers at this locus in a large case-control sample. METHODS Ten CNR1 markers and 38 ancestry-informative markers were genotyped in 451 healthy control subjects and 550 SD (AD and/or DD) patients (including European Americans [EAs] and African Americans [AAs]). Common confounding effects on association analysis of population stratification and admixture, age, and sex were controlled for using regression analysis. Disease risk and protective alleles were fine-mapped using a linkage disequilibrium measure (delta). RESULTS In EAs, risk for each SD subtype significantly increased with the number of "G" alleles at rs6454674 (single nucleotide polymorphisms [SNP]3). SNP3;G(+) (the genotypes containing a G allele) and SNP8;T/T genotypes had significant interaction effects (p = .0003 for comorbid DD and AD, .0002 for DD, and .007 for AD). SNP3 and SNP8 together exerted stronger genetic effects on SD than either did individually. The peak delta values among all the markers were seen for SNP3 and SNP8 (rs806368). CONCLUSIONS We demonstrate that CNR1 variation and interactive effects play important roles in risk for both DD and AD.
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Affiliation(s)
- Lingjun Zuo
- Department of Psychiatry, Yale University School of Medicine, 950 Campbell Avenue, New Haven, CT 06516, USA
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84
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Yang BZ, Kranzler HR, Zhao H, Gruen JR, Luo X, Gelernter J. Association of haplotypic variants in DRD2, ANKK1, TTC12 and NCAM1 to alcohol dependence in independent case–control and family samples. Hum Mol Genet 2007; 16:2844-53. [PMID: 17761687 DOI: 10.1093/hmg/ddm240] [Citation(s) in RCA: 111] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
There have been many conflicting reports concerning the association of the DRD2 locus with alcohol dependence (AD). To investigate whether these findings could be reconciled by considering the genomic region of DRD2 in greater detail, we conducted two separate association studies of AD in 1220 European-American subjects using family-based (488 subjects) and case-control (318 cases and 414 controls) designs, and 43 single nucleotide polymorphisms mapped to the gene cluster of NCAM1, TTC12, ANKK1 and DRD2. We used a generalized linear model and haplotype score tests for the case-control sample, and the family-based association test for the family sample. Haplotype associations centered on TTC12 exon 3 [rs1893699-rs723077; optimal individual haplotype simulated P-value (P(oihs)) = 0.00021] in both independent samples (family and case-control). Additional AD-associated haplotypes centered around NCAM1 exon 12 in the family sample (P(oihs) = 0.0032), and at exons 2 and 5 of ANKK1 in the case-control sample (P(oihs) = 0.00058). LD contrasts between cases and controls support selection at TTC12 exon 3 and ANKK1 exon 2. The armadillo repeat domains encoded by TTC12 and dopamine interact in the Wnt pathway and may have effects on dopamine cell development in the ventral midbrain. We conclude that risk for AD is attributable in part to variants in four regions within this cluster: exon 3 of TTC12, exon 12/intron13 of NCAM1 and exons 2 and 5 of ANKK1. The complexity of these relationships, many of which replicate between our independent samples, may explain prior inconsistent results.
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Affiliation(s)
- Bao-Zhu Yang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
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85
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Miller-Butterworth CM, Kaplan JR, Barmada MM, Manuck SB, Ferrell RE. The serotonin transporter: sequence variation in Macaca fascicularis and its relationship to dominance. Behav Genet 2007; 37:678-96. [PMID: 17605101 DOI: 10.1007/s10519-007-9162-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2006] [Accepted: 05/24/2007] [Indexed: 10/23/2022]
Abstract
Specific genotypes of the rhesus monkey and human serotonin transporter gene (SERT) promoter region are associated with personality traits and serotonergic activity. However, the most commonly studied promoter polymorphism (5-HTTLPR) is monomorphic in many other monkey species. To date, no systematic search for alternative potentially functional polymorphisms across the remaining coding parts of the gene has been undertaken in other primate species, despite the crucial role SERT plays in modulating serotonergic tone. We investigated whether sequence variation in this gene is associated with social rank and serotonin metabolite (5-HIAA) differences in 524 cynomolgus macaques. Sequence variation and extent of linkage disequilibrium (LD) across the regulatory and coding regions were initially characterized in 92 macaques. The exons and promoter contained 28 polymorphisms, more than double that recorded for human SERT. In further contrast to humans, the macaque SERT showed no significant LD. Potentially functional polymorphisms were genotyped in all animals. No individual variants or haplotypes were significantly associated with social rank or 5-HIAA concentrations; however, certain serotonin transporter diplotypes may modulate acquisition of dominance status.
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Affiliation(s)
- Cassandra M Miller-Butterworth
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, A300 Crabtree Hall, 130 De Soto Street, Pittsburgh, PA, USA.
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Luo X, Kranzler HR, Zuo L, Wang S, Gelernter J. Personality traits of agreeableness and extraversion are associated with ADH4 variation. Biol Psychiatry 2007; 61:599-608. [PMID: 17069770 PMCID: PMC1853245 DOI: 10.1016/j.biopsych.2006.05.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2006] [Revised: 04/27/2006] [Accepted: 05/11/2006] [Indexed: 01/21/2023]
Abstract
BACKGROUND Personality traits are associated with substance dependence (SD); genetic factors may influence both. Strong associations between ADH4 variation and SD have been reported. We aimed to investigate the relationship between ADH4 variation and personality traits in the present study. METHODS We assessed dimensions of the five-factor model of personality in 243 subjects with SD (175 European Americans [EAs] and 68 African Americans [AAs]) and 296 healthy control subjects (256 EAs and 40 AAs). We also genotyped 7 ADH4 markers (spanning the locus) and 38 unlinked ancestry-informative markers in these subjects. The relationships between the diplotypes, alleles, and genotypes at ADH4 and personality traits were examined using multivariate analysis of covariance (MANCOVA), controlling for potential confounders. RESULTS Generally, SD patients, older individuals, and male subjects scored higher on neuroticism and lower on other personality factors. Personality factors were associated with the diplotypes. The allele A or genotype A/A of single nucleotide polymorphism (SNP)6 (rs1800759 at the gene promoter) was significantly associated with agreeableness scores. There were associations between extraversion and SNP1 (hcv2033010 at the 3' end) and SNP2 (rs1042364 in exon 9) in subjects with higher conscientiousness scores. CONCLUSIONS The personality traits of agreeableness and extraversion are related to ADH4 polymorphism. Among the ADH4 markers that appear to predispose to certain personality traits, the functional variant rs1800759 (SNP6) in the promoter region is most important. We conclude that personality traits and SD have a partially overlapping genetic basis.
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Affiliation(s)
- Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
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87
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Scott DM, Taylor RE. Health-related effects of genetic variations of alcohol-metabolizing enzymes in African Americans. ALCOHOL RESEARCH & HEALTH : THE JOURNAL OF THE NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM 2007; 30:18-21. [PMID: 17718396 PMCID: PMC3860436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Alcohol metabolism involves two key enzymes-alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH). There are several types of ADH and ALDH, each of which may exist in several variants (i.e., isoforms) that differ in their ability to break down alcohol and its toxic metabolite acetaldehyde. The isoforms are encoded by different gene variants (i.e., alleles) whose distribution among ethnic groups differs. One variant of ADH is ADH1B, which is encoded by several alleles. An allele called ADH1 B*3 is unique to people of African descent and certain Native American tribes. This allele is associated with more rapid breakdown of alcohol, leading to a transient accumulation of acetaldehyde. African Americans carrying this allele are less likely to have a family history of alcoholism and experience a less rewarding subjective response to alcohol. Moreover, children of mothers with this allele are less vulnerable to alcohol-related birth defects. The enzyme ALDH1 also is encoded by several alleles. Two of these alleles that are found in African Americans-ALDH1 A1 *2 and ALDH1A1 *3--may be associated with a reduced risk of alcoholism.
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Affiliation(s)
- Denise M Scott
- Howard University Alcohol Research Center, Washington, DC, USA
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88
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Luo X, Kranzler HR, Zuo L, Wang S, Schork NJ, Gelernter J. Multiple ADH genes modulate risk for drug dependence in both African- and European-Americans. Hum Mol Genet 2006; 16:380-90. [PMID: 17185388 PMCID: PMC1853246 DOI: 10.1093/hmg/ddl460] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Drug dependence (DD) is commonly co-morbid with alcohol dependence (AD). Many studies have also shown common genetic risk factors for these disorders. We previously reported associations of AD with seven alcohol dehydrogenase (ADH) genes. The present study examines the relationship between these genes and DD. We genotyped 16 markers within the ADH gene cluster and 38 unlinked ancestry-informative markers in a case-control sample of 718 individuals. All markers were consistent with Hardy-Weinberg equilibrium in controls, but some markers showed Hardy-Weinberg disequilibrium in cases (minimal P = 0.002). Genotypes of many markers were associated with DD, both before and after controlling for admixture effects (minimal P < 1.0 x 10(-6)). Diplotype trend regression analysis showed that ADH5 and ADH6 genotypes, and diplotypes at ADH1A, ADH1B, ADH1C and ADH7 (minimal P = 0.002), were associated with DD in European-Americans and/or African-Americans. This first report of an allelic association of these loci with DD provides new insight into the mechanism of genetic risk for DD. These findings, obtained using a series of powerful and reliable analytic methods, may also help to explain the high rate of co-morbidity between AD and DD.
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Affiliation(s)
- Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Henry R. Kranzler
- Department of Psychiatry, Alcohol Research Center, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Lingjun Zuo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Shuang Wang
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Nicholas J. Schork
- Department of Psychiatry, University of California School of Medicine, San Diego, La Jolla, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- *To whom correspondence should be addressed at: Yale University School of Medicine, VA Psychiatry 116A2, 950 Campbell Avenue, West Haven, CT 06516, USA. Tel: +1 203932 5711 ext. 3590; Fax: +1 2039373897;
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89
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Wessel J, Schork NJ. Generalized genomic distance-based regression methodology for multilocus association analysis. Am J Hum Genet 2006; 79:792-806. [PMID: 17033957 PMCID: PMC1698575 DOI: 10.1086/508346] [Citation(s) in RCA: 138] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2006] [Accepted: 08/08/2006] [Indexed: 01/29/2023] Open
Abstract
Large-scale, multilocus genetic association studies require powerful and appropriate statistical-analysis tools that are designed to relate genotype and haplotype information to phenotypes of interest. Many analysis approaches consider relating allelic, haplotypic, or genotypic information to a trait through use of extensions of traditional analysis techniques, such as contingency-table analysis, regression methods, and analysis-of-variance techniques. In this work, we consider a complementary approach that involves the characterization and measurement of the similarity and dissimilarity of the allelic composition of a set of individuals' diploid genomes at multiple loci in the regions of interest. We describe a regression method that can be used to relate variation in the measure of genomic dissimilarity (or "distance") among a set of individuals to variation in their trait values. Weighting factors associated with functional or evolutionary conservation information of the loci can be used in the assessment of similarity. The proposed method is very flexible and is easily extended to complex multilocus-analysis settings involving covariates. In addition, the proposed method actually encompasses both single-locus and haplotype-phylogeny analysis methods, which are two of the most widely used approaches in genetic association analysis. We showcase the method with data described in the literature. Ultimately, our method is appropriate for high-dimensional genomic data and anticipates an era when cost-effective exhaustive DNA sequence data can be obtained for a large number of individuals, over and above genotype information focused on a few well-chosen loci.
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Affiliation(s)
- Jennifer Wessel
- Polymorphism Research Laboratory, Department of Psychiatry, Divisions of Epidemiology, Center for Human Genetics and Genomics, University of California at San Diego, La Jolla, CA 92093-0603, USA
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