APA (7th ed.) Citation

Naito, T., Inoue, K., Namba, S., Sonehara, K., Suzuki, K., Matsuda, K., . . . Okada, Y. (2024). Machine learning reveals heterogeneous associations between environmental factors and cardiometabolic diseases across polygenic risk scores. Communications Medicine, 4(1), . https://doi.org/10.1038/s43856-024-00596-7

Chicago Style (17th ed.) Citation

Naito, Tatsuhiko, et al. "Machine Learning Reveals Heterogeneous Associations Between Environmental Factors and Cardiometabolic Diseases Across Polygenic Risk Scores." Communications Medicine 4, no. 1 (2024). https://doi.org/10.1038/s43856-024-00596-7.

MLA (9th ed.) Citation

Naito, Tatsuhiko, et al. "Machine Learning Reveals Heterogeneous Associations Between Environmental Factors and Cardiometabolic Diseases Across Polygenic Risk Scores." Communications Medicine, vol. 4, no. 1, 2024, https://doi.org/10.1038/s43856-024-00596-7.