Reciprocal causation mixture model for robust Mendelian randomization analysis using genome-scale summary data
oleh: Zipeng Liu, Yiming Qin, Tian Wu, Justin D. Tubbs, Larry Baum, Timothy Shin Heng Mak, Miaoxin Li, Yan Dora Zhang, Pak Chung Sham
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2023-02-01 |
Deskripsi
Mendelian randomization methods are prone to produce false positive results when assumptions are violated. Here, the authors propose a statistical model that offers good power to detect causation between traits while controlling the false positive rate.