Inference of causality between tea intake and sleep duration

Corresponding author: zhaoaitao, zat15949419926@163.com

DOI: 10.12201/bmr.202408.00012

•  

  Abstract: Objective: To explore the causal relationship between tea intake and sleep duration. Methods: Genome-wide association study data of tea intake and sleep duration (GWAS) were used, and the Inverse Variance Weighting method was used. IVW), MR-Egger regression analysis (MR-Egger regression analysis) and Weighted Median Analysis (WMA) were used to carry out two-sample Mendelian Randomization, MR) to evaluate the causal relationship between tea intake and sleep duration, and then conduct sensitivity analysis, including horizontal pleiotropic analysis, Cochran Q test and leave one method to evaluate the reliability and stability of the results. Results: After strict quality control conditions and elimination of confounding factors, 30 single nucleotide polymorphisms (SNPs) closely related to tea intake were screened out as instrumental variable, IVs). IVW(OR = 1.0585, 95% CI: 1.10132 ~ 1.1059, P = 0.0108) showed that there was a close positive causal relationship between tea intake and sleep duration. Although the MR-Egger regression analysis and WMA results did not reach statistical significance, the direction of causality aligns entirely with that of IVW, providing support for the interpretation of the findings. In this study, through the analysis of MR-Egger intercept and Cochran Q test, it was found that horizontal pleiotropy and heterogeneity had no significant influence on the research results (P > 0.05). Conclusion: MR results show that there is a positive causal relationship between tea intake and sleep duration, that is, under certain circumstances, the sleep duration can be increased to some extent with the increase of tea intake.

  Key words: tea intake; leep duration; Mendel randomization; single nucleotide polymorphism

  Submit time: 7 August 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• liuwenyuan. A two-sample Mendelian Randomization study of causality between opioids and chronic renal failure. 2024. doi: 10.12201/bmr.202411.00028

  Hua Lin. Identification of links between sleepiness and gut microbiota using Mendelian randomization analysis. 2024. doi: 10.12201/bmr.202409.00006

  huyanzhi, zhouminhan, xuwuji. A Mendelian randomization analysis of the association between spinal stenosis and constipation. 2024. doi: 10.12201/bmr.202412.00039

  WANG Guangyan, NAN Shuang. Mendelian Randomization Study on Cervical Cancer and Immune Cell Phenotypes. 2024. doi: 10.12201/bmr.202412.00050

  zhang tao. Association Between Gut Microbiota and Liver Cirrhosis in East Asian Populations: A Mendelian Randomization Study. 2024. doi: 10.12201/bmr.202412.00049

  Ming-Dou Du. Study on the causal relationship between physical activity and insulin sensitivity. 2022. doi: 10.12201/bmr.202210.00027

  zhou minhua. Clinical effect of She medical diet cool tea compound in treating obesity with excessive phlegm-dampness complicated with OSAHS1. 2024. doi: 10.12201/bmr.202411.00012

  lizihao, Chen Mosha, Ma Zhenxin, Yin Kangping, Tong Yixuan, Tan Chuanqi, Lang ZhenZhen, Tang Buzhou. CMedCausal - A dataset of Chinese medical causal relationship extraction. 2022. doi: 10.12201/bmr.202211.00004

  lanyushan, lijiao. Machine Learning Methods for Confounding Control in Causal Inference. 2022. doi: 10.12201/bmr.202203.00015

  WangBiao, Zhang Tiantian, Tang Xiaoyu, Jia Yun, Luo Li. A study of price reduction sustainability in national volume-based drug procurement. 2023. doi: 10.12201/bmr.202305.00008

• ID	Submit time	Number	Download
  1	2024-07-29	bmr.202408.00012V1	Download

• Public  Anonymous  To author only Submit Comments