https://www.selleckchem.com/products/Estrone.html
To explore the causal relationship between blood metabolites and the risk of coronary artery disease (CAD) using a two-sample Mendelian randomization (MR) approach. Based on the data from a large-scale metabolome-based genome-wide association study (mGWAS) and the GWAS of CAD, we investigated the causality between blood metabolites and CAD using an inverse variance weighted (IVW) method and another 4 two-sample MR models. Heterogeneity, horizontal pleiotropy, and sensitivity tests were performed to evaluate the stability and reliability
Like
Comment
Share
