Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
高度相关暴露下多变量孟德尔随机化的分组识别与变量选择
Multivariable Mendelian Randomization (MVMR) estimates the direct causal effects of multiple risk factors on an outcome using genetic variants as instruments. The growing availability of summary-level genetic data has created opportunities to apply MVMR in high-dimensional settings with many strongly correlated candidate risk factors. However, existing methods face three major limitations: weak instrument bias, limited interpretability, and the absence of valid…