A comprehensive evaluation of methods for Mendelian randomization using realistic simulations and an analysis of 38 biomarkers for risk of type 2 diabetes.
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DOI: 10.1093/ije/dyaa262
Abstract: BACKGROUND Previous studies have often evaluated methods for Mendelian randomization (MR) analysis based on simulations that do not adequately reflect the data-generating mechanisms in genome-wide association studies (GWAS) and there are often discrepancies in the… read more here.
Keywords: risk type; methods mendelian; biomarkers risk; mendelian randomization ... See more keywords