Genomic informational field theory to identify genetic associations of a complex trait using a small sample size.

Kyratzi P, Gadsby S, Knowles E, Harris P, Menzies-Gow N, Elliott J, Paldi A, Wattis J, Rauch C

DOI: 10.1152/physiolgenomics.00205.2025
Published: 2026 Jul 1
Container: Physiological genomics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1152/physiolgenomics.00205.2025,
  title = {Genomic informational field theory to identify genetic associations of a complex trait using a small sample size.},
  author = {Kyratzi P and Gadsby S and Knowles E and Harris P and Menzies-Gow N and Elliott J and Paldi A and Wattis J and Rauch C},
  year = {2026},
  journal = {Physiological genomics},
  doi = {10.1152/physiolgenomics.00205.2025},
  url = {https://doi.org/10.1152/physiolgenomics.00205.2025}
}

RIS

TY  - JOUR
TI  - Genomic informational field theory to identify genetic associations of a complex trait using a small sample size.
AU  - Kyratzi P
AU  - Gadsby S
AU  - Knowles E
AU  - Harris P
AU  - Menzies-Gow N
AU  - Elliott J
AU  - Paldi A
AU  - Wattis J
AU  - Rauch C
PY  - 2026
JO  - Physiological genomics
DO  - 10.1152/physiolgenomics.00205.2025
UR  - https://doi.org/10.1152/physiolgenomics.00205.2025
ER  -

APA

P, K., S, G., E, K., P, H., N, M., J, E., A, P., J, W., & C, R. (2026). Genomic informational field theory to identify genetic associations of a complex trait using a small sample size.. Physiological genomics. https://doi.org/10.1152/physiolgenomics.00205.2025

Source records

pubmed · retrieved 2026-09-25T17:40:14.490Z