Discovering Genetic Markers Using Medical Literature
Author Information
Author(s): Elkin Peter L, Tuttle Mark S, Trusko Brett E, Brown Steven H
Primary Institution: Center for Biomedical Informatics, Mount Sinai School of Medicine
Hypothesis
Can mining the medical literature reveal novel relationships between genes, proteins, drugs, and disorders?
Conclusion
The study identified over 54 million potentially novel relationships between genes, proteins, drugs, and disorders from the medical literature.
Supporting Evidence
- The study identified 468,371,305 relationships within the 27,000 NEJM articles.
- Over 54 million relationships were potentially novel, indicating new connections not previously documented.
- The methodology utilized natural language processing to analyze the literature.
Takeaway
Researchers looked at a lot of medical articles to find new connections between genes and diseases, which could help in understanding and treating illnesses.
Methodology
The study parsed full-text articles from the New England Journal of Medicine using a Multi-threaded Clinical Vocabulary Server to identify relationships between genes, proteins, drugs, and disorders.
Limitations
The study is limited to the articles available from the New England Journal of Medicine and may not represent the entire medical literature.
Digital Object Identifier (DOI)
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