MR-RAPS
Resources
Code (Language: R) Website Paper (Pub Date: 2020-06-01)
Other URLS: https://cran.r-project.org/web/packages/mr.raps/index.html
Method Contact: Qingyuan Zhao ( none)
Entry Contact: Jean Morrison ( jvmorr@umich.edu)
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
MR-RAPS is an MR method using a consistent asymptotically normal estimator that improves weak instrument bias and accounts for horizontal pleiotropy using a random effect and an outlier robust loss function