Your browser doesn't support javascript.
loading
Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.
Justice, Anne E; Winkler, Thomas W; Feitosa, Mary F; Graff, Misa; Fisher, Virginia A; Young, Kristin; Barata, Llilda; Deng, Xuan; Czajkowski, Jacek; Hadley, David; Ngwa, Julius S; Ahluwalia, Tarunveer S; Chu, Audrey Y; Heard-Costa, Nancy L; Lim, Elise; Perez, Jeremiah; Eicher, John D; Kutalik, Zoltán; Xue, Luting; Mahajan, Anubha; Renström, Frida; Wu, Joseph; Qi, Qibin; Ahmad, Shafqat; Alfred, Tamuno; Amin, Najaf; Bielak, Lawrence F; Bonnefond, Amelie; Bragg, Jennifer; Cadby, Gemma; Chittani, Martina; Coggeshall, Scott; Corre, Tanguy; Direk, Nese; Eriksson, Joel; Fischer, Krista; Gorski, Mathias; Neergaard Harder, Marie; Horikoshi, Momoko; Huang, Tao; Huffman, Jennifer E; Jackson, Anne U; Justesen, Johanne Marie; Kanoni, Stavroula; Kinnunen, Leena; Kleber, Marcus E; Komulainen, Pirjo; Kumari, Meena; Lim, Unhee; Luan, Jian'an.
Afiliação
  • Justice AE; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
  • Winkler TW; Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany.
  • Feitosa MF; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine; St. Louis, Missouri, 63108 USA.
  • Graff M; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
  • Fisher VA; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
  • Young K; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
  • Barata L; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine; St. Louis, Missouri, 63108 USA.
  • Deng X; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
  • Czajkowski J; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine; St. Louis, Missouri, 63108 USA.
  • Hadley D; Population Health Research Institute, St. George's, University of London, London, SW17 0RE, UK.
  • Ngwa JS; TransMed Systems, Inc., Cupertino, California 95014, USA.
  • Ahluwalia TS; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
  • Chu AY; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland, USA.
  • Heard-Costa NL; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Lim E; Steno Diabetes Center, Gentofte, Denmark.
  • Perez J; NHLBI Framingham Heart Study, Framingham, Massachusetts, 01702 USA.
  • Eicher JD; Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts USA.
  • Kutalik Z; NHLBI Framingham Heart Study, Framingham, Massachusetts, 01702 USA.
  • Xue L; Department of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118, USA.
  • Mahajan A; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
  • Renström F; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
  • Wu J; Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, The Framingham Heart Study, Framingham, Massachusetts, USA.
  • Qi Q; Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
  • Ahmad S; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • Alfred T; Swiss instititute of Bioinformatics.
  • Amin N; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
  • Bielak LF; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Bonnefond A; Department of Biobank Research, Umeå University, Umeå, Sweden.
  • Bragg J; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 02 Malmö, Sweden.
  • Cadby G; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
  • Chittani M; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.
  • Coggeshall S; Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts USA.
  • Corre T; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 02 Malmö, Sweden.
  • Direk N; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.
  • Eriksson J; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Fischer K; The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Gorski M; Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015GE, The Netherlands.
  • Neergaard Harder M; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
  • Horikoshi M; University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199 - EGID, Lille, France.
  • Huang T; Internal Medicine - Nephrology, University of Michigan, Ann Arbor, Michigan, USA.
  • Huffman JE; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Jackson AU; Centre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Australia.
  • Justesen JM; Department of Health Sciences, University of Milan,Via A. Di Rudiní, 8 20142, Milano, Italy.
  • Kanoni S; Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA.
  • Kinnunen L; Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
  • Kleber ME; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • Komulainen P; Swiss instititute of Bioinformatics.
  • Kumari M; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Lim U; Department of Psychiatry, Dokuz Eylul University, Izmir, Turkey.
  • Luan J; Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
Nat Commun ; 8: 14977, 2017 04 26.
Article em En | MEDLINE | ID: mdl-28443625
ABSTRACT
Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fumar / Predisposição Genética para Doença / Locos de Características Quantitativas / Estudo de Associação Genômica Ampla / Obesidade Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Adult / Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fumar / Predisposição Genética para Doença / Locos de Características Quantitativas / Estudo de Associação Genômica Ampla / Obesidade Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Adult / Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos