1. Krishnamoorthy, Suhas, Li, Gloria H-Y, Cheung, Ching-Lung. 2022. Transcriptome-wide summary data-based Mendelian randomization analysis reveals 38 novel genes associated with severe COVID-19. In Journal of medical virology, 95, e28162. doi:10.1002/jmv.28162. https://pubmed.ncbi.nlm.nih.gov/36127160/
2. Wu, Guodong, Wang, Youyu, Wan, Yanhui. 2022. Establishing an 8-gene immune prognostic model based on TP53 status for lung adenocarcinoma. In Journal of clinical laboratory analysis, 36, e24538. doi:10.1002/jcla.24538. https://pubmed.ncbi.nlm.nih.gov/35689561/
3. Liu, Junzhi, Li, Huimin, Zhang, Nannan, Dong, Qiuping, Liang, Zheng. . Multiomics Analysis of Disulfidptosis Patterns and Integrated Machine Learning to Predict Immunotherapy Response in Lung Adenocarcinoma. In Current medicinal chemistry, 31, 4034-4055. doi:10.2174/0109298673313281240425050032. https://pubmed.ncbi.nlm.nih.gov/38685772/
4. Yang, Chuanxin, Deng, Libing, Bao, Fang, Jiang, Hui, Zhang, Long. 2023. Sevoflurane with Low Concentration Decrease DNA Methylation on Chronic Obstructive Pulmonary Disease (COPD)-Related Gene Promoter in COPD Rat. In COPD, 20, 348-356. doi:10.1080/15412555.2023.2278282. https://pubmed.ncbi.nlm.nih.gov/38010369/
5. Zhang, Anbing, Liang, Jianping, Lao, Xiaoli, Li, Siqi, Liu, Shengming. 2025. Single-Cell Sequencing Reveals PD-L1-Mediated Immune Escape Signaling in Lung Adenocarcinoma. In Journal of Cancer, 16, 1438-1450. doi:10.7150/jca.103656. https://pubmed.ncbi.nlm.nih.gov/39991571/
6. Wu, Lang, Zhu, Jingjing, Liu, Duo, Sun, Yanfa, Wu, Chong. 2021. An integrative multiomics analysis identifies putative causal genes for COVID-19 severity. In Genetics in medicine : official journal of the American College of Medical Genetics, 23, 2076-2086. doi:10.1038/s41436-021-01243-5. https://pubmed.ncbi.nlm.nih.gov/34183789/