MR-Clust

Author

Eleanor Sanderson

Published

September 11, 2020

Resources

Code (Language: R) Website Paper (Pub Date: 2020-09-11)

Other URLS: none

Method Contact: Stephen Burgess ( sb452@medschl.cam.ac.uk)

Entry Contact: Eleanor Sanderson ( eleanor.sanderson@bristol.ac.uk)

Context

Analysis Type: UVMR MVMR Network MR Bi-Directional MR Non-Linear

Input Data Types: Ind/Ind Ind/SS SS/Ind SS/SSfamily

Exposure Trait Types: Quantitative Binary Time to event

Outcome Trait Types: Quantitative Binary Time to event

Assumptions and Sources of Bias

Source of Bias Addressed
Weak instruments
Winner’s curse
Sample overlap
Uncorrelated horizontal pleiotropy
Correlated horizontal pleiotropy
Ancestry differences in samples
Residual confounding in GWAS
Cross-trait assortative mating
Index-event/conditioning on heritable trait

Description

This method clusters the per-SNP MR effect estimates to enable identification of heterogeneity and potentially pleiotropic groups of SNPs