Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.

MLA

Yao, Pang, et al. “Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.” Diabetes Care, vol. 47, no. 6, June 2024, pp. 1012–19. EBSCOhost, https://doi.org/10.2337/dc23-2145.

APA

Yao, P., Iona, A., Pozarickij, A., Said, S., Wright, N., Lin, K., Millwood, I., Fry, H., Kartsonaki, C., Mazidi, M., Chen, Y., Bragg, F., Liu, B., Yang, L., Liu, J., Avery, D., Schmidt, D., Sun, D., Pei, P., … Chen, Z. (2024). Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes. Diabetes Care, 47(6), 1012–1019. https://doi.org/10.2337/dc23-2145

Chicago

Yao, Pang, Andri Iona, Alfred Pozarickij, Saredo Said, Neil Wright, Kuang Lin, Iona Millwood, et al. 2024. “Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.” Diabetes Care 47 (6): 1012–19. doi:10.2337/dc23-2145.