1. Chen, Yuqiao, Tang, Lu, Huang, Wentao, Abisola, Fakolade Hannah, Li, Linfeng. 2022. Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma. In Frontiers in endocrinology, 13, 963220. doi:10.3389/fendo.2022.963220. https://pubmed.ncbi.nlm.nih.gov/36353226/
2. Pott, Janne, Kheirkhah, Azin, Gadin, Jesper R, Kronenberg, Florian, Scholz, Markus. 2024. Sex and statin-related genetic associations at the PCSK9 gene locus: results of genome-wide association meta-analysis. In Biology of sex differences, 15, 26. doi:10.1186/s13293-024-00602-6. https://pubmed.ncbi.nlm.nih.gov/38532495/
3. Gao, Pei, Lu, Wuhao, Hu, Shousen, Zhao, Kun. 2022. Differentially Infiltrated Identification of Novel Diagnostic Biomarkers Associated with Immune Infiltration in Nasopharyngeal Carcinoma. In Disease markers, 2022, 3934704. doi:10.1155/2022/3934704. https://pubmed.ncbi.nlm.nih.gov/36438903/
4. Gusareva, Elena S, Carrasquillo, Minerva M, Bellenguez, Céline, Lambert, Jean-Charles, Van Steen, Kristel. 2014. Genome-wide association interaction analysis for Alzheimer's disease. In Neurobiology of aging, 35, 2436-2443. doi:10.1016/j.neurobiolaging.2014.05.014. https://pubmed.ncbi.nlm.nih.gov/24958192/
5. Sun, Junjun, Ping, Yili, Huang, Jingjuan, Ji, Ping, Li, Dong. 2021. N6-Methyladenosine-Regulated mRNAs: Potential Prognostic Biomarkers for Patients With Lung Adenocarcinoma. In Frontiers in cell and developmental biology, 9, 705962. doi:10.3389/fcell.2021.705962. https://pubmed.ncbi.nlm.nih.gov/34422827/