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Causal Effect of Genetic Variants Associated With Body Mass Index on Multiple Sclerosis Susceptibility.
Gianfrancesco, Milena A; Glymour, M Maria; Walter, Stefan; Rhead, Brooke; Shao, Xiaorong; Shen, Ling; Quach, Hong; Hubbard, Alan; Jónsdóttir, Ingileif; Stefánsson, Kári; Strid, Pernilla; Hillert, Jan; Hedström, Anna; Olsson, Tomas; Kockum, Ingrid; Schaefer, Catherine; Alfredsson, Lars; Barcellos, Lisa F.
Afiliação
  • Gianfrancesco MA; Genetic Epidemiology and Genomics Lab, Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
  • Glymour MM; Department of Epidemiology and Biostatistics, University of California, San Francisco, USA.
  • Walter S; Institute of Clinical and Experimental Medicine, Division of Gastroenterology, Linköping University, Linköping, Sweden.
  • Rhead B; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
  • Shao X; Computational Biology Graduate Group, University of California, Berkeley, CA, USA.
  • Shen L; Centre for Reproductive Medicine, Dalian Maternal and Children's Centre, Dalian, China.
  • Quach H; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Jiangsu Key Laboratory of Agricultural Meteorology, Department of Agricultural Resource and Environment, College of Applied Meteorology, University of Information Science and Technology, Nanjing, 210044, China.
  • Hubbard A; Human Evolutionary Genetics, Institut Pasteur, 75015 Paris, France.
  • Jónsdóttir I; Centre National de la Recherche Scientifique URA3012, 75015 Paris, France.
  • Stefánsson K; Center of Bioinformatics, Biostatistics, and Integrative Biology, Institut Pasteur, 75015 Paris, France.
  • Strid P; Institute of Pharmaceutical Science, King's College London, London, UK; Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.
  • Hillert J; deCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
  • Hedström A; Department of Immunology, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland.
  • Olsson T; Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
  • Kockum I; deCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
  • Schaefer C; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
  • Barcellos LF; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Am J Epidemiol ; 185(3): 162-171, 2017 02 01.
Article em En | MEDLINE | ID: mdl-28073764
ABSTRACT
Multiple sclerosis (MS) is an autoimmune disease with both genetic and environmental risk factors. Recent studies indicate that childhood and adolescent obesity double the risk of MS, but this association may reflect unmeasured confounders rather than causal effects of obesity. We used separate-sample Mendelian randomization to estimate the causal effect of body mass index (BMI) on susceptibility to MS. Using data from non-Hispanic white members of the Kaiser Permanente Medical Care Plan of Northern California (KPNC) (2006-2014; 1,104 cases of MS and 10,536 controls) and a replication data set from Sweden (the Epidemiological Investigation of MS (EIMS) and the Genes and Environment in MS (GEMS) studies, 2005-2013; 5,133 MS cases and 4,718 controls), we constructed a weighted genetic risk score using 97 variants previously established to predict BMI. Results were adjusted for birth year, sex, education, smoking status, ancestry, and genetic predictors of MS. Estimates in KPNC and Swedish data sets suggested that higher genetically induced BMI predicted greater susceptibility to MS (odds ratio = 1.13, 95% confidence interval 1.04, 1.22 for the KPNC sample; odds ratio = 1.09, 95% confidence interval 1.03, 1.15 for the Swedish sample). Although the mechanism remains unclear, to our knowledge, these findings support a causal effect of increased BMI on susceptibility to MS for the first time, and they suggest a role for inflammatory pathways that characterize both obesity and the MS disease process.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Predisposição Genética para Doença / Esclerose Múltipla Tipo de estudo: Clinical_trials / Guideline / Observational_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Epidemiol Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Predisposição Genética para Doença / Esclerose Múltipla Tipo de estudo: Clinical_trials / Guideline / Observational_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Epidemiol Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos