1. Liu, Yi, Wang, Qian, Zhao, Yuhui, Chen, Jinyi, Qin, Chao. 2024. Identification of novel drug targets for multiple sclerosis by integrating plasma genetics and proteomes. In Experimental gerontology, 194, 112505. doi:10.1016/j.exger.2024.112505. https://pubmed.ncbi.nlm.nih.gov/38964432/
2. Zhang, Jinguo, Pan, Shuaikang, Han, Chaoqiang, Du, Jun, Han, Xinghua. 2022. Combination of Immune-Related Network and Molecular Typing Analysis Defines a Three-Gene Signature for Predicting Prognosis of Triple-Negative Breast Cancer. In Biomolecules, 12, . doi:10.3390/biom12111556. https://pubmed.ncbi.nlm.nih.gov/36358906/
3. Qi, Tingting, Qu, Jian, Tu, Chao, Wang, Jiaojiao, Qu, Qiang. 2020. Super-Enhancer Associated Five-Gene Risk Score Model Predicts Overall Survival in Multiple Myeloma Patients. In Frontiers in cell and developmental biology, 8, 596777. doi:10.3389/fcell.2020.596777. https://pubmed.ncbi.nlm.nih.gov/33344452/
4. Lee, Joseph H, Cheng, Rong, Rogaeva, Ekaterina, St George-Hyslop, Peter, Mayeux, Richard. 2008. Further examination of the candidate genes in chromosome 12p13 locus for late-onset Alzheimer disease. In Neurogenetics, 9, 127-38. doi:10.1007/s10048-008-0122-8. https://pubmed.ncbi.nlm.nih.gov/18340469/