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Article

A flexible framework for robust and efficient Mendelian randomization with debiasing.

Briefings in bioinformatics - 1 Sept 2026

Deng Linsui, He Kejun, Zhang Xianyang

Abstract excerpt

Mendelian randomization (MR) has been widely used to infer causal relationships between exposures and outcomes in epidemiological studies. However, classical MR assumptions can be violated when genetic variants are associated with outcomes through pathways other than the exposure, leading to uncorrelated and/or correlated pleiotropy. Additionally, measurement error arising from the inherent uncertainty in summary...

Read the complete abstract on PubMed

Topics

Mendelian Randomization Analysis
Humans
Genome-Wide Association Study
Algorithms
Genetic Variation
Genetic Pleiotropy

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Models, Genetic

Source

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Identifiers

PMID: 42704268
DOI: 10.1093/bib/bbag468
PMCID: PMC13548358

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