CaPri: Bayesian Mendelian randomization for joint estimation of causal and pleiotropic effects

Ou Ren, Wenmin Zhang, Tianyuan Lu

Open source

DOI
10.64898/2026.10.13.26365454
Published
2026-10-14
Container
Not recorded
Publisher
openRxiv
Open access
unknown

Credibility signals

uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.64898/2026.10.13.26365454,
  title = {CaPri: Bayesian Mendelian randomization for joint estimation of causal and pleiotropic effects},
  author = {Ou Ren and Wenmin Zhang and Tianyuan Lu},
  year = {2026},
  doi = {10.64898/2026.10.13.26365454},
  url = {https://doi.org/10.64898/2026.10.13.26365454}
}

RIS

TY  - JOUR
TI  - CaPri: Bayesian Mendelian randomization for joint estimation of causal and pleiotropic effects
AU  - Ou Ren
AU  - Wenmin Zhang
AU  - Tianyuan Lu
PY  - 2026
DO  - 10.64898/2026.10.13.26365454
UR  - https://doi.org/10.64898/2026.10.13.26365454
ER  - 

APA

Ren, O., Zhang, W., & Lu, T. (2026). CaPri: Bayesian Mendelian randomization for joint estimation of causal and pleiotropic effects. https://doi.org/10.64898/2026.10.13.26365454

Source records