Paraoxonase 1 -L55M polymorphism and coronary heart disease risk in the Chinese population: evidence from a meta-analysis

Abstract

Many studies have examined the association between paraoxonase 1 (PON1) -L55M polymorphisms and risk of coronary heart disease (CHD), but the results remained inconsistent. We therefore aimed to address this association by performing an updated meta-analysis in the Chinese population. The PubMed, EMBASE, Web of Science, and Chinese National Knowledge Infrastructure were searched up to May 2020. The strength of statistical association was assessed with odds ratio (OR) and 95% confidence interval (CI). A total of eight studies with 1826 CHD cases and 1817 controls were finally included in the analysis. In the overall and subgroup analyses by control sources and geographic areas, the results showed no significant associations with CHD among all analysis models. Furthermore, we performed the analysis by including or excluding the HWE-violating studies. The results suggested that the MM genetype were significantly associated with CHD in studies not consistent with HWE under recessive and dominant models. This meta-analysis demonstrates that the PON1 -L55M polymorphism may not be associated with CHD risk in the Chinese population. Further studies with strict selection of patients and controls in different ethnic populations will be required to clarify this finding.

Effects of hairy vetch cultivation on soil quality and productivity in Chinese orchards: a meta-analysis

“…In this study, the logarithm of the response ratio (RR) was used as the effect size to measure the effect of hairy vetch on the soil quality and productivity of the orchard. The effect size was calculated by Equation 1 (Wang et al, 2022;Zhang et al, 2022).…”

Experiment and meta-analysis on the effects of grass cultivation in the orchard on fruit yield and quality

“…To facilitate understanding and description, based on the effect size obtained according to Formula 2, the effect size is further processed by Formula 4 to obtain the final effect size of the effect of grass cultivation in orchards on fruit yield and quality. In each group of data, if the 95% CI does not coincide with the zero line, the treatment is considered to have a significant effect on the target variable; if the 95% CI is on the left side of the zero line, the treatment is considered to have a negative effect on the target variable; if the 95% CI is on the right side of the zero line, the treatment is considered to have a positive effect on the target variable; if the 95% confidence intervals of the data in each group do not overlap, it is considered that there is a significant difference between groups (Zhang et al, 2022;.…”