Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors
We demonstrate that MR-EvE data offers an efficient hypothesis-generating approach for identifying disease risk factors. Moreover, we show that integrating MR evidence with literature-mined data may be used to identify causal intermediates and uncover the mechanisms behind the disease.
Authors
- Tom R. Gaunt (ORCID: https://orcid.org/0000-0003-0924-3247)
- Tim Robinson (ORCID: https://orcid.org/0000-0003-0933-646X)
- Benjamin Elsworth (ORCID: https://orcid.org/0000-0001-7328-4233)
- Marina Vabistsevits (ORCID: https://orcid.org/0000-0003-1121-6790)
- Yi Liu (ORCID: https://orcid.org/0000-0002-2051-440X)
Institutions
- University of Bristol (GB)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2025-03-23
- DOI
- https://doi.org/10.1016/j.jbi.2025.104810
- Citations
- 1
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.82