1. 孟德尔随机化R包

看一篇文章,介绍孟德尔随机化分析,里面推荐了这两个R包,安装了解一下:

Methods:Genome-wide association study (GWAS) data for autoimmune diseases and AMD were obtained from the IEU Open GWAS database and the FinnGen consortium. A series of stringent SNP filtering steps was applied to ensure the reliability of the genetic instruments. MR analyses were conducted using the TwoSampleMR and MR-PRESSO packages in R. The inverse-variance weighted (IVW) method served as the primary analysis, complemented by multiple supplementary analyses and sensitivity tests.

2. R版本为4.3.1

孟德尔随机化R包:TwoSampleMR和MR-PRESSO安装插图

3. 安装TwoSampleMR

最新的版本为0.6.4(2024-06-12)。下面介绍三种安装方法:

第一种:

该包没有在CRAN中,在github中,可以通过下面命令安装。

# install.packages(‘devtools’)
devtools::install_github("MRCIEU/TwoSampleMR")

第二种:

用remote包进行安装:

install.packages("remotes")
remotes::install_github("MRCIEU/TwoSampleMR")

第三种:

也可以直接安装:

install.packages("TwoSampleMR", repos = c("https://mrcieu.r-universe.dev", "https://cloud.r-project.org"))

如果让选择是否更新,可以选择1,全部更新。
孟德尔随机化R包:TwoSampleMR和MR-PRESSO安装插图(1)
然后就是漫长的等待,把每个依赖包都更新安装好:

孟德尔随机化R包:TwoSampleMR和MR-PRESSO安装插图(2)
安装成功,载入试试:
孟德尔随机化R包:TwoSampleMR和MR-PRESSO安装插图(3)
搞定。

4. 安装TwoSampleMR

安装代码:

devtools::install_github("rondolab/MR-PRESSO")

安装成功:

孟德尔随机化R包:TwoSampleMR和MR-PRESSO安装插图(4)
后面介绍一下这两个包的使用方法。

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