Quantifying the utility of type 2 diabetes polygenic risk score for predicting incident diabetes: an analysis of large US-based cohort studies.

Hanson RL, Kobes S, Wedekind LE, Arreola EV, Ramirez-Luzuriaga MJ, Hsueh WC

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DOI: 10.1186/s12920-026-02386-7
Published: 2026 May 12
Container: BMC medical genomics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12920-026-02386-7,
  title = {Quantifying the utility of type 2 diabetes polygenic risk score for predicting incident diabetes: an analysis of large US-based cohort studies.},
  author = {Hanson RL and Kobes S and Wedekind LE and Arreola EV and Ramirez-Luzuriaga MJ and Hsueh WC},
  year = {2026},
  journal = {BMC medical genomics},
  doi = {10.1186/s12920-026-02386-7},
  url = {https://doi.org/10.1186/s12920-026-02386-7}
}

RIS

TY  - JOUR
TI  - Quantifying the utility of type 2 diabetes polygenic risk score for predicting incident diabetes: an analysis of large US-based cohort studies.
AU  - Hanson RL
AU  - Kobes S
AU  - Wedekind LE
AU  - Arreola EV
AU  - Ramirez-Luzuriaga MJ
AU  - Hsueh WC
PY  - 2026
JO  - BMC medical genomics
DO  - 10.1186/s12920-026-02386-7
UR  - https://doi.org/10.1186/s12920-026-02386-7
ER  -

APA

RL, H., S, K., LE, W., EV, A., MJ, R., & WC, H. (2026). Quantifying the utility of type 2 diabetes polygenic risk score for predicting incident diabetes: an analysis of large US-based cohort studies.. BMC medical genomics. https://doi.org/10.1186/s12920-026-02386-7

Source records

pubmed · retrieved 2026-09-26T17:36:45.655Z
europe-pmc · retrieved 2026-09-26T17:36:45.661Z
doaj · retrieved 2026-09-26T17:36:45.660Z