The association between single nucleotide polymorphism and disease is a typical representation of genetic association studies. Compared with the traditional dichotomous data, single nucleotide polymorphism data has its own characteristics, and 5 genetic models are commonly performed in meta-analysis. In this paper, we show how to use the " meta” package in R software to conduct meta-analysis of single nucleotide polymorphism research through examples.
Incidence rate is a common effect measure. The incidence rate ratio refers to the ratio of two different incidence rates. It is used to compare the difference in the number of cases per unit person-time between two groups. RevMan software can not perform a meta-analysis with the incidence rate ratio as the effect size at present. A set of simulation data was used to demonstrate a meta-analysis process with the incidence rate ratio as the effect size by using the meta package of R Studio software in this article.