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Article

MR2G: A novel framework for causal network inference using GWAS summary data.

PLoS genetics - 1 May 2026

Lin Zhaotong, Pan Wei, Xue Haoran

Abstract excerpt

Inferring a causal network among multiple traits is essential for unraveling complex biological relationships and informing interventions. Mendelian randomization (MR) has emerged as a powerful tool for causal inference, utilizing genetic variants as instrumental variables (IVs) to estimate causal effects. However, when the directions of causal relationships among traits are unknown, reconstructing the underlying...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 42189912
DOI: 10.1371/journal.pgen.1012144
PMCID: PMC13210398

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