• Yin Zhang, Jiaying Wang, Mingyu Zheng, Huanwei Qu, Shuya Yang, Fuzhou Han, Nan Yao, Wenqiang Li, and Jun Qu.
• Department of General Surgery, Aerospace Center Hospital, Beijing, China.
• Medicine (Baltimore). 2024 Jan 5; 103 (1): e36867e36867.

AbstractWe performed a bidirectional 2-sample Mendelian randomization (MR) design to explore the causal relation between telomere length (TL) and colorectal polyps. Genome-wide association study summary data of TL and colorectal polyps were extracted from the IEU open genome-wide association study database. Single nucleotide polymorphisms were served as instrumental variables at the significance threshold of P < 5 × 10-8. The inverse variance weighted method, MR-Egger method, and weight median method were performed for causal estimation in MR. Cochran Q test, MR-Egger intercept test, and leave-one-out analyses were performed to evaluate the pleiotropy of the MR results. One hundred and twenty-four single nucleotide polymorphisms were selected as instrumental variables. We found significant casual association between TL and colorectal polyps. Long TL increased the risk of colorectal polyps using the inverse variance weighted method [ukb-a-521: odds ratio (OR): 1.004, 95% confidence interval (CI): 1.001-1.007, P = .004; ukb-d-D12: OR: 1.008, CI: 1.004-1.012, P < .001; finn-b-CD2_BENIGN_COLORECANI_EXALLC2: OR: 1.170, CI: 1.027-1.332, P = .018]. Sensitivity analyses validated that the causality between TL and colorectal polyps was robust. The study provided a causal association between TL and colorectal polyps which indicated that TL might be served as a potential biomarker of colorectal polyps for screening and prevention. Nonetheless, the conclusions need further validation.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

15 keywords...

hide…