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酒精依赖和肌萎缩侧索硬化因果关系的孟德尔随机化分析 被引量:3

Evaluating the Causal Relationship between Alcohol Dependence and Amyotrophic Lateral Sclerosis Using Mendelian Randomisation
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摘要 目的采用孟德尔随机化方法探索饮酒行为和肌萎缩侧索硬化发病风险的因果关系。方法利用大样本全基因组关联研究数据,确定与酒精依赖密切相关的遗传位点作为工具变量,通过逆方差加权法、MR-Egger回归法等两样本孟德尔随机化方法,以比值比(OR值)作为结局指标对因果关系进行评价。结果本研究共纳入476例男性酒精依赖患者和1358例男性对照,IVW方法估计的OR值为1.12(95%可信区间:1.02-1.24,P=0.021),MR-Egger回归结果表明遗传多效性不会对结果造成偏倚(截距=-0.036,P=0.755)。结论本研究采用两样本孟德尔随机化的方法,表明在男性中严重的酒精依赖会增加肌萎缩侧索硬化的风险。 Objective To explore the causal relationship between alcohol dependence and the risk of amyotrophic lateral sclerosis using the Mendelian randomization(MR)analysis. Methods Genetic variants which are closely related to alcohol dependence in large sample GWAS were employed as instrumental variables;two-sample MR methods including IVW and MR-Egger regression was carried out to estimate the causal effect and to evaluate the possible pleotropic effects of instruments. Results A total of 476 male patients with alcohol dependence and 1,358 male controls were included in this study.The odd ratio between alcohol dependence and ALS was estimated to be 1.12(95% CI :1.02-1.24, P =0.021),and the MR-Egger regression results suggested that the genetic pleiotropy was unlikely to bias our results(the intercept=-0.036, P =0.755). Conclusion The results of the two-sample MR analysis provides the evidence that severe alcohol dependence can increase the risk of ALS.
作者 黄林玉 王鸣岐 余星皓 曾平 黄水平 Huang Linyu;Wang Mingqi;Yu Xinghao(School of public health,Xuzhou Medical University(221004,Xuzhou)
出处 《中国卫生统计》 CSCD 北大核心 2019年第3期334-338,共5页 Chinese Journal of Health Statistics
基金 教育部人文社会科学研究青年基金项目资助(18YJC910002) 江苏省自然科学基金资助项目(BK20181472) 江苏省高校青蓝工程优秀青年骨干教师项目 中国博士后科学基金资助项目(2018M630607) 徐州医科大学博士后科学基金资助项目 国家自然科学基金青年科学基金资助项目(81402765) 国家统计局全国统计科学研究项目(2014LY112)
关键词 孟德尔随机化 肌萎缩侧索硬化 酒精依赖 因果推断 Mendelian randomisation Amyotrophic lateral sclerosis Alcohol dependence Causal inference
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  • 1Begg CB, Berlin JA. Publication bias: A problem in interpreting medical data. Journal of the Royal Statistical Society, Series A, 1988, 151(3): 419-463.
  • 2Dickersin K, Scherer R, Lefebvre C. Identifying relevant studies for systematic reviews. BMJ, 1994, 309(6964): 1286-1291.
  • 3Dickersin K. How important is publication bias? A synthesis of available data. AIDS Education and Prevention, 1997, 9(1 Suppl): 15-21.
  • 4Begg CB. Publication bias. In The Handbook of Research Synthesis, Cooper H, Hedges LV (eds). Russell Sage Foundation: New York, 1994, Chapter 25.
  • 5Light RJ, Pillemer DB. Summing Up: The Science of Reviewing Research. Harvard University Press: Cambridge MA, 1984.
  • 6Greenland S. Invited commentary: a critical look at some popular meta-analytic methods. Am J Epidemiol, 1994, 140: 290-296.
  • 7Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics, 1994, 50: 1088-1101.
  • 8Egger M, Smith GD, Schneider M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ, 1997, 315: 629-634.
  • 9Macaskill P, Walter SD, Irwig L. A comparison of methods to detect publication bias in meta-analysis. Stat Med, 2001, 20: 641-654.
  • 10Kendall MG. A New Measure of Rank Correlation. Biometrika, 1938, 30(1-2): 81-93.

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