Extensive Mendelian randomization study identifies potential causal risk factors for severe COVID-19

(16th of January 2021, updated 20th of March 2021)

Extensive Mendelian randomization study identifies potential causal risk factors for severe COVID-19 is now published in Communications Medicine

Prioritizing Causal Risk Factors for Severe COVID-19: An Exhaustive Mendelian Randomization Study (early virsion) was published in Research Square

Table of Contents

• Introduction
• Download
• Combine SNP
• Mendelian Randomization Study
• Getting help
• Citation
• License

Introduction

This directory contains supplementary code for our Mendelian randomization analysis to prioritize risk factors for severe COVID-19 using the TwoSampleMR R package by Yitang Sun and Kaixiong Ye.

Any of the most recent COVID-19 GWAS can be used in the code to apply exhaustive MR analyses.

Download

Download_COVID_19.sh

You only need to change the link pathway to update the more recent COVID-19 GWAS.

Combine SNP

Combine_outcome_SNP.r

You only need to change the pathway.

Mendelian randomization study

MR_forward.r

You only need to change the pathway.

Getting help

Please use the Github Issue page if you have questions.

Citation

To cite in publications, please use:

Sun, Y.; Zhou, J.; Ye, K. Prioritizing causal risk factors for severe COVID-19: An exhaustive mendelian randomization study. Nat. Portf. 2021, preprint (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-149087/v1]

License

Copyright (c) 2021 Yitang Sun and Kaixiong Ye