Collider Bias Correction for Multiple Covariates in GWAS Using Robust Multivariable Mendelian Randomization

This repository contains the data underlying the figures in paper "Collider Bias Correction for Multiple Covariates in GWAS
Using Robust Multivariable Mendelian Randomization".

The file names and sheet names in the xlsx file indicate the corresponding figures of data. 

The underlying data of manhattan plots and QQ plots are in text file. For other figures, the underlying data are in the spreadsheet.

In each file, column names indicate the MVMR method used to obtain the result. 

For example: 

In text files:

The abbreviation "mPC" refers to metabolomic principle components.

beta_no_correction: the SNP effect estimate without bias correction.

beta_cml or beta_MVMR_cml: the standard error of SNP effect estimate after the bias correction of MVMR-cML.

SE_UVMR_cml: the standard error of SNP effect estimate after the bias correction of UVMR-cML.

p_value_Egger or p_value_MVMR_Egger: the p-value of SNP effect estimate after the bias correction of MVMR-Egger regression.

In the spreadsheet, column names follow the same style. 

The GWAS data is also available. The column names follows the plink output file. The detailed explanations are available at https://www.cog-genomics.org/plink/2.0/formats#glm_linear