Multi-omics integration predicts the incidence of 17 diseases in the UK Biobank

Jiawen Du, Muqing Zhou, Hanling Wang, Jianqiao Wang, Laura M. Raffield, Ruihai Zhou, Yun Li, Can Chen, Quan Sun

Open source

DOI
10.1038/s41467-026-73017-z
Published
2026-05-09
Container
Nature Communications
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 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:10.1038/s41467-026-73017-z,
  title = {Multi-omics integration predicts the incidence of 17 diseases in the UK Biobank},
  author = {Jiawen Du and Muqing Zhou and Hanling Wang and Jianqiao Wang and Laura M. Raffield and Ruihai Zhou and Yun Li and Can Chen and Quan Sun},
  year = {2026},
  journal = {Nature Communications},
  doi = {10.1038/s41467-026-73017-z},
  url = {https://doi.org/10.1038/s41467-026-73017-z}
}

RIS

TY  - JOUR
TI  - Multi-omics integration predicts the incidence of 17 diseases in the UK Biobank
AU  - Jiawen Du
AU  - Muqing Zhou
AU  - Hanling Wang
AU  - Jianqiao Wang
AU  - Laura M. Raffield
AU  - Ruihai Zhou
AU  - Yun Li
AU  - Can Chen
AU  - Quan Sun
PY  - 2026
JO  - Nature Communications
DO  - 10.1038/s41467-026-73017-z
UR  - https://doi.org/10.1038/s41467-026-73017-z
ER  - 

APA

Du, J., Zhou, M., Wang, H., Wang, J., Raffield, L. M., Zhou, R., Li, Y., Chen, C., & Sun, Q. (2026). Multi-omics integration predicts the incidence of 17 diseases in the UK Biobank. Nature Communications. https://doi.org/10.1038/s41467-026-73017-z

Source records