Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 1 - Clinical Medicine
- Output identifier
- 263318-69420-1266
- Type
- D - Journal article
- DOI
-
10.1371/journal.pgen.1008198
- Title of journal
- PLoS Genetics
- Article number
- e1008198
- First page
- -
- Volume
- 16
- Issue
- 3
- ISSN
- 1553-7390
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2020
- URL
-
https://doi.org/10.1371/journal.pgen.1008198
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
E - Rare Diseases.
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
