ArticleJournal of Alzheimer's disease reports2024
Genome-Wide Mendelian Randomization Identifies Ferroptosis-Related Drug Targets for Alzheimer's Disease.
Article in Journal of Alzheimer's disease reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Serum ferritin and delirium risk: an integrative genomic analysis of causal inference and multi-tissue regulatory signals.Human genomics · 2026Article
- Traditional Chinese Medicine and Ferroptosis in Alzheimer's Disease: A Potential Therapeutic Approach.Drug design, development and therapy · 2026Review
- Causal effects of ferroptosis-related traits on ovarian dysfunction: insights from integrating genome-wide Mendelian randomization, DNA methylation, gene expression, and proteome.Journal of ovarian research · 2025Article
- The role of ferroptosis in Alzheimer's disease: Mechanisms and therapeutic potential (Review).Molecular medicine reports · 2025Review
- Exploration of the multiomics-based mechanisms of Gancao Nourishing-Yin decoction in regulating mitochondrial metabolic genes CYB5R3 and PICK1 to influence glioma progression.Discover oncology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Background: Alzheimer's disease (AD) currently lacks effective disease-modifying treatments. Recent research suggests that ferroptosis could be a potential therapeutic target. Mendelian randomization (MR) is a widely used method for identifying novel therapeutic targets. Objective: Employ genetic information to evaluate the causal impact of ferroptosis-related genes on the risk of AD. Methods: 564 ferroptosis-related genes were obtained from FerrDb. We derived genetic instrumental variables for these genes using four brain quantitative trait loci (QTL) and two blood QTL datasets. Summary-data-based Mendelian randomization (SMR) and two-sample MR methods were applied to estimate the causal effects of ferroptosis-related genes on AD. Using extern transcriptomic datasets and triple-transgenic mouse model of AD (3xTg-AD) to further validate the gene targets identified by the MR analysis. Results: We identified 17 potential AD risk gene targets from GTEx, 13 from PsychENCODE, and 22 from BrainMeta (SMR Conclusions: This study provides genetic evidence supporting the potential therapeutic benefits of targeting the six druggable genes for AD treatment, especially for
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