ArticleCell reports methods2024
A cross-disease, pleiotropy-driven approach for therapeutic target prioritization and evaluation.
Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- The Human Pleiotropic Map of GWAS Associations and Therapeutic Implications.bioRxiv : the preprint server for biology · 2026Article
- A computational medicine framework integrating multi-omics, systems biology, and artificial neural networks for Alzheimer's disease therapeutic discovery.Acta pharmaceutica Sinica. B · 2025Article
- A genome-wide pleiotropy study between atopic dermatitis and neuropsychiatric disorders.Human genomics · 2025Article
- Improved genetic discovery and fine-mapping resolution through multivariate latent factor analysis of high-dimensional traits.Cell genomics · 2025Article
- Identification of shared genetic etiology of cardiovascular and cerebrovascular diseases through common cardiometabolic risk factors.Communications biology · 2024Article
- Cross-disease transcriptomic analysis reveals DOK3 and PAPOLA as therapeutic targets for neuroinflammatory and tumorigenic processes.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
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Abstract
Cross-disease genome-wide association studies (GWASs) unveil pleiotropic loci, mostly situated within the non-coding genome, each of which exerts pleiotropic effects across multiple diseases. However, the challenge "W-H-W" (namely, whether, how, and in which specific diseases pleiotropy can inform clinical therapeutics) calls for effective and integrative approaches and tools. We here introduce a pleiotropy-driven approach specifically designed for therapeutic target prioritization and evaluation from cross-disease GWAS summary data, with its validity demonstrated through applications to two systems of disorders (neuropsychiatric and inflammatory). We illustrate its improved performance in recovering clinical proof-of-concept therapeutic targets. Importantly, it identifies specific diseases where pleiotropy informs clinical therapeutics. Furthermore, we illustrate its versatility in accomplishing advanced tasks, including pathway crosstalk identification and downstream crosstalk-based analyses. To conclude, our integrated solution helps bridge the gap between pleiotropy studies and therapeutics discovery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.