Previous studies have used microarray technology to explore gene expression differences between the atrium and the ventricle. However, selection criteria for the differentially expressed genes (DEGs) based only on either the fold change or the P value in these studies. Here, we aim to further identify the DEGs by setting a P value threshold of 2, which may yield more specific gene expression differences between the atrium and the ventricle.
The aim of this meta-analysis was to evaluate the correlations between the estrogen receptor 1 (ESR1) gene polymorphisms PvuII (rs2234693T>C) and XbaI (rs9340799A>G) and the risk of cardiovascular disease (CVD). Case-control studies were screened and selected from a larger group of studies that were retrieved through a comprehensive search of scientific literature databases, which was complemented by manual searches. Data from studies selected were analyzed using the Comprehensive Meta-analysis 2.0 software.
This meta-analysis investigated the correlation between the PPARγ2 Pro12Ala polymorphism and cardiovascular disease (CVD). Electronic database and manual searches were conducted to retrieve studies published relevant to the PPARγ2 Pro12Ala polymorphism and CVD. Rigorous inclusion and exclusion criteria were employed for selection of high-quality patients-control studies.