Mendelian Randomization Study of Obesity and Cerebrovascular Disease
Year: 2020
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: To systematically investigate causal relationships between obesity and cerebrovascular disease and the extent to which hypertension and hyperglycemia mediate the effect of obesity on cerebrovascular disease. METHODS: We used summary statistics from genome-wide association studies for body mass index (BMI), waist-to-hip ratio (WHR), and multiple cerebrovascular disease phenotypes. We explored causal associations with 2-sample Mendelian randomization (MR) accounting for genetic covariation between BMI and WHR, and we assessed what proportion of the association between obesity and cerebrovascular disease was mediated by systolic blood pressure (SBP) and blood glucose levels, respectively. RESULTS: Genetic predisposition to higher BMI did not increase the risk of cerebrovascular disease. In contrast, for each 10% increase in WHR there was a 75% increase (95% confidence interval [CI] = 44-113%) in risk for large artery ischemic stroke, a 57% (95% CI = 29-91%) increase in risk for small vessel ischemic stroke, a 197% increase (95% CI = 59-457%) in risk of intracerebral hemorrhage, and an increase in white matter hyperintensity volume (β = 0.11, 95% CI = 0.01-0.21). These WHR associations persisted after adjusting for genetic determinants of BMI. Approximately one-tenth of the observed effect of WHR was mediated by SBP for ischemic stroke (proportion mediated: 12%, 95% CI = 4-20%), but no evidence of mediation was found for average blood glucose. INTERPRETATION: Abdominal adiposity may trigger causal pathological processes, partially independent from blood pressure and totally independent from glucose levels, that lead to cerebrovascular disease. Potential targets of these pathological processes could represent novel therapeutic opportunities for stroke. ANN NEUROL 2020;87:516-524.
Source: Annals of Neurology
DOI: 10.1002/ana.25686
Institutions: Boston University, Boston Medical Center, Massachusetts General Hospital, Harvard University, Institut de Recerca Biomèdica Catalunya Sud, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, Institut für Schlaganfall- und Demenzforschung, Ludwig-Maximilians-Universität München, University of Edinburgh, German Center for Neurodegenerative Diseases, Munich Cluster for Systems Neurology, Broad Institute, Massachusetts Institute of Technology, Imperial College London
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Awards: Sequencing Annotation and Functional Analysis in Risk of Intracerebral Hemorrhage, Mentoring Investigators on the Clinical Translation of Genetic Discoveries in Type 2 Diabetes, G5089487321, Impact of Self-reported vs. genetic ancestry on modeling of intracerebral hemorrhage outcomes, Race / Ethncicity, Hypertension and Prevention of VCID and Stroke after Intracerebral Hemmorrhage, Genetic Analyses of Lipids in Cerebral Hemorrhage and Small Vessel Disease
OpenAlex ID: W3000763405
