ArticleGenome biology2026
MRBEE-TL: improving causal effect estimation in multi-ancestry multivariable Mendelian randomization with transfer learning.
Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- TL-HDMR: a transfer learning framework for advancing equitable causal inference reveals metabolic signatures of stroke across multiple ancestries.Briefings in bioinformatics · 2026Article
- Recalibrating Mendelian randomization under winner's curse, sample structure and polygenicity.medRxiv : the preprint server for health sciences · 2026Article
- MRBEE-TL: improving causal effect estimation in multi-ancestry multivariable Mendelian randomization with transfer learning.Genome biology · 2026Article
- Mind the gap: Characterizing bias due to population mismatch in two-sample Mendelian randomization.American journal of human genetics · 2026Article
- Mind the gap: characterizing bias due to population mismatch in two-sample Mendelian randomization.medRxiv : the preprint server for health sciences · 2025Article
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Authors and funding
2 authors.
Funding
Abstract
Multivariable Mendelian randomization has been largely applied to individuals of European ancestry, due to the larger sample sizes available in European GWAS. We introduce MRBEE-TL, one of the first multi-ancestry multivariable Mendelian randomization methods, which combines transfer learning with bias-corrected estimating equations to improve power in underpowered ancestries and to assess cross-ancestry heterogeneity of disease risk factors. In simulations, MRBEE-TL consistently outperforms MR methods that rely solely on ancestry-specific GWAS data. In real data analyses, MRBEE-TL not only identifies ancestry-consistent and ancestry-specific causal effects missed by conventional methods, but also improves power in underpowered ancestries.
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Registered trials
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