Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
Mendelian randomization (MR) is a powerful and widely used method for causal inference leveraging genetic information. Here, the authors develop MRMix, an MR method using mixture models for more robust and efficient estimation of causal effects.
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2019-04-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-09432-2 |