Large-scale pleiotropic analysis across cancers reveals shared genetic mechanisms and identifies novel functional genes.

Wu X, Yan Y, Cao W, Wu T, He J, Wang D, Gong J, Niu X

Open source

DOI
10.1093/bib/bbag479
Published
2026 Sep 1
Container
Briefings in bioinformatics
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.1093/bib/bbag479,
  title = {Large-scale pleiotropic analysis across cancers reveals shared genetic mechanisms and identifies novel functional genes.},
  author = {Wu X and Yan Y and Cao W and Wu T and He J and Wang D and Gong J and Niu X},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag479},
  url = {https://doi.org/10.1093/bib/bbag479}
}

RIS

TY  - JOUR
TI  - Large-scale pleiotropic analysis across cancers reveals shared genetic mechanisms and identifies novel functional genes.
AU  - Wu X
AU  - Yan Y
AU  - Cao W
AU  - Wu T
AU  - He J
AU  - Wang D
AU  - Gong J
AU  - Niu X
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag479
UR  - https://doi.org/10.1093/bib/bbag479
ER  - 

APA

X, W., Y, Y., W, C., T, W., J, H., D, W., J, G., & X, N. (2026). Large-scale pleiotropic analysis across cancers reveals shared genetic mechanisms and identifies novel functional genes.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag479

Source records