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Article

Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data.

PLoS genetics - 1 May 2023

Lin Zhaotong, Xue Haoran, Pan Wei

Abstract excerpt

Mendelian randomization (MR) has been increasingly applied for causal inference with observational data by using genetic variants as instrumental variables (IVs). However, the current practice of MR has been largely restricted to investigating the total causal effect between two traits, while it would be useful to infer the direct causal effect between any two of many traits (by accounting for indirect or...

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PMID: 37200398
DOI: 10.1371/journal.pgen.1010762
PMCID: PMC10231771

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