APA (7th ed.) Citation

Sun, R., Xu, M., Li, X., Gaynor, S., Zhou, H., Li, Z., . . . Lin, X. (2021). Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer. Genetic epidemiology, 45(1), . https://doi.org/10.1002/gepi.22358

Chicago Style (17th ed.) Citation

Sun, Ryan, et al. "Integration of Multiomic Annotation Data to Prioritize and Characterize Inflammation and Immune-related Risk Variants in Squamous Cell Lung Cancer." Genetic Epidemiology 45, no. 1 (2021). https://doi.org/10.1002/gepi.22358.

MLA (9th ed.) Citation

Sun, Ryan, et al. "Integration of Multiomic Annotation Data to Prioritize and Characterize Inflammation and Immune-related Risk Variants in Squamous Cell Lung Cancer." Genetic Epidemiology, vol. 45, no. 1, 2021, https://doi.org/10.1002/gepi.22358.