Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes.

Barnett EJ, Zhang-James Y, Hess JL, Glatt SJ, Faraone SV

DOI: 10.1038/s43856-025-01189-8
Published: 2025 Nov 18
Container: Communications medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s43856-025-01189-8,
  title = {Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes.},
  author = {Barnett EJ and Zhang-James Y and Hess JL and Glatt SJ and Faraone SV},
  year = {2025},
  journal = {Communications medicine},
  doi = {10.1038/s43856-025-01189-8},
  url = {https://doi.org/10.1038/s43856-025-01189-8}
}

RIS

TY  - JOUR
TI  - Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes.
AU  - Barnett EJ
AU  - Zhang-James Y
AU  - Hess JL
AU  - Glatt SJ
AU  - Faraone SV
PY  - 2025
JO  - Communications medicine
DO  - 10.1038/s43856-025-01189-8
UR  - https://doi.org/10.1038/s43856-025-01189-8
ER  -

APA

EJ, B., Y, Z., JL, H., SJ, G., & SV, F. (2025). Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes.. Communications medicine. https://doi.org/10.1038/s43856-025-01189-8

Source records

pubmed · retrieved 2026-09-27T01:32:22.077Z