1. Turcot, Valérie, Lu, Yingchang, Highland, Heather M, Hirschhorn, Joel N, Loos, Ruth J F. 2017. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. In Nature genetics, 50, 26-41. doi:10.1038/s41588-017-0011-x. https://pubmed.ncbi.nlm.nih.gov/29273807/
2. Wang, Qian, Liu, Chao, Tang, Chaoming, Sha, Jiahao, Li, Wei. 2015. Yeast model identifies ENTPD6 as a potential non-obstructive azoospermia pathogenic gene. In Scientific reports, 5, 11762. doi:10.1038/srep11762. https://pubmed.ncbi.nlm.nih.gov/26152596/
3. Tada, Yasuhiro, Yokomizo, Akira, Shiota, Masaki, Oda, Yoshinao, Naito, Seiji. 2011. Ectonucleoside triphosphate diphosphohydrolase 6 expression in testis and testicular cancer and its implication in cisplatin resistance. In Oncology reports, 26, 161-7. doi:10.3892/or.2011.1274. https://pubmed.ncbi.nlm.nih.gov/21519793/
4. Zhang, Genshan, Han, Baolin, Chen, Yanghui, Luo, Xuelai, Cao, Zhixin. 2025. Genetic insights into visceral obesity with health conditions, from disease susceptibility to therapeutic intervention. In Postgraduate medical journal, , . doi:10.1093/postmj/qgaf004. https://pubmed.ncbi.nlm.nih.gov/39835424/
5. Hossein Garakani, Melika, Kakavand, Kianoush, Sabbaghian, Marjan, Meybodi, Anahita Mohseni, Moradi, Shabnam Zarei. 2024. Comprehensive analysis of chromosomal breakpoints and candidate genes associated with male infertility: insights from cytogenetic studies and expression analyses. In Mammalian genome : official journal of the International Mammalian Genome Society, 35, 764-783. doi:10.1007/s00335-024-10074-z. https://pubmed.ncbi.nlm.nih.gov/39358566/
6. Zheng, Yanjun, Bian, Yuehong, Wu, Richao, Zhao, Shigang, Shi, Yuhua. 2021. High-Throughput Sequencing Profiles About lncRNAs and mRNAs of Ovarian Granulosa Cells in Polycystic Ovary Syndrome. In Frontiers in medicine, 8, 741803. doi:10.3389/fmed.2021.741803. https://pubmed.ncbi.nlm.nih.gov/34881258/
7. Zhuang, Zifan, Gao, Chundi. 2022. Development of a Clinical Prognostic Model for Metabolism-Related Genes in Squamous Lung Cancer and Correlation Analysis of Immune Microenvironment. In BioMed research international, 2022, 6962056. doi:10.1155/2022/6962056. https://pubmed.ncbi.nlm.nih.gov/36110123/
智鼠故事 
