| Literature DB >> 28073764 |
Milena A Gianfrancesco1, M Maria Glymour2, Stefan Walter3,4, Brooke Rhead5, Xiaorong Shao6, Ling Shen7, Hong Quach8,9,10, Alan Hubbard11, Ingileif Jónsdóttir12,13,14, Kári Stefánsson12,15, Pernilla Strid, Jan Hillert16, Anna Hedström17, Tomas Olsson18, Ingrid Kockum19, Catherine Schaefer20, Lars Alfredsson21,22, Lisa F Barcellos23.
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.Entities:
Keywords: Mendelian randomization; body mass index; genetic instrumental variables; multiple sclerosis; obesity
Mesh:
Year: 2017 PMID: 28073764 PMCID: PMC5391720 DOI: 10.1093/aje/kww120
Source DB: PubMed Journal: Am J Epidemiol ISSN: 0002-9262 Impact factor: 4.897