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SNP-based Study on high BMI exposure confirms CVD and DM Risks – no associations with Stroke, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)
SNP-based Study on high BMI exposure confirms CVD and DM Risks – no associations with Stroke
Reporter: Aviva Lev-Ari, PhD, RN
Genes Affirm: High BMI Carries Weighty Heart, Diabetes Risk – Mendelian randomization study adds to ‘burgeoning evidence’
by Crystal Phend,Senior Associate Editor, MedPage Today, July 05, 2017
The “genetically instrumented” measure of high BMI exposure — calculated based on 93 single-nucleotide polymorphisms associated with BMI in prior genome-wide association studies — was associated with the following risks (odds ratios given per standard deviation higher BMI):
Hypertension (OR 1.64, 95% CI 1.48-1.83)
Coronary heart disease (CHD; OR 1.35, 95% CI 1.09-1.69)
Type 2 diabetes (OR 2.53, 95% CI 2.04-3.13)
Systolic blood pressure (β 1.65 mm Hg, 95% CI 0.78-2.52 mm Hg)
Diastolic blood pressure (β 1.37 mm Hg, 95% CI 0.88-1.85 mm Hg)
However, there were no associations with stroke, Donald Lyall, PhD, of the University of Glasgow, and colleagues reported online in JAMA Cardiology.
“The main advantage of an MR approach is that certain types of study bias can be minimized,” the team noted. “Because DNA is stable and randomly inherited, which helps to mitigate errors from reverse causality and confounding, genetic variation can be used as a proxy for lifetime BMI to overcome limitations such as reverse causality and confounding, a process that hampers observational analyses of obesity and its consequences.”
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