ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2025
A focusing framework for testing bi-directional causal effects in Mendelian randomization.
Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- MR2G: A novel framework for causal network inference using GWAS summary data.PLoS genetics · 2026Article
- The rapid growth in Mendelian randomization studies.European journal of epidemiology · 2025Article
- Efficient Mendelian randomization analysis with self-adaptive determination of sample structure and multiple pleiotropic effects.American journal of human genetics · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Mendelian randomization (MR) is a powerful method that uses genetic variants as instrumental variables to infer the causal effect of a modifiable exposure on an outcome. We study inference for bi-directional causal relationships and causal directions with possibly pleiotropic genetic variants. We show that assumptions for common MR methods are often impossible or too stringent given the potential bi-directional relationships. We propose a new focusing framework for testing bi-directional causal effects and it can be coupled with many state-of-the-art MR methods. We provide theoretical guarantees for our proposal and demonstrate its performance using several simulated and real datasets.
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Registered trials
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