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Assessing causality in associations between cannabis use and schizophrenia risk:a two-sample Mendelian randomization study

机译:评估大麻使用与精神分裂症风险之间相关性的因果关系:孟德尔随机抽样的两样本研究

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摘要

Background: Observational associations between cannabis and schizophrenia are well documented, but ascertaining causation is more challenging. We used Mendelian randomization (MR), utilizing publicly available data as a method for ascertaining causation from observational data. Methods: We performed bi-directional two-sample MR using summary level genomewide data from the International Cannabis Consortium (ICC) and the Psychiatric Genomics Consortium (PGC2). Single nucleotide polymorphisms (SNPs) associated with cannabis initiation (P 10-5) and schizophrenia (P 5x10-8) were combined using an inverse-variance weight fixed-effects approach. We also used height and education genomewide-association study data, representing negative and positive control analyses. Results: There was some evidence consistent with a causal effect of cannabis initiation on risk of schizophrenia (OR 1.04 per doubling odds of cannabis initiation, 95% CI 1.01, 1.07, P = 0.019). There was strong evidence consistent with a causal effect of schizophrenia risk on likelihood of cannabis initiation (OR 1.10 per doubling of the odds of schizophrenia, 95% CI 1.05, 1.14, P = 2.64 × 10-5). Findings were as predicted for the negative control (height OR 1.00, 95% CI 0.99 to 1.01, P = 0.90) but weaker than predicted for the positive control (years in education OR 0.99, 95% CI 0.97 to 1.00, P = 0.066) analyses. Conclusions: Our results provide some that cannabis initiation increases the risk of schizophrenia, though the size of the causal estimate is small. We find stronger evidence that schizophrenia risk predicts cannabis initiation, possibly as genetic instruments for schizophrenia are stronger than for cannabis initiation.
机译:背景:大麻与精神分裂症之间的观察性关联已有大量文献记载,但确定因果关系更具挑战性。我们使用孟德尔随机化(MR),利用可公开获得的数据作为从观测数据确定因果关系的方法。方法:我们使用国际大麻联合会(ICC)和精神病基因组联合会(PGC2)的汇总级全基因组数据进行了双向两样本MR。使用逆方差权重固定效应方法将与大麻起始(P <10-5)和精神分裂症(P <5x10-8)相关的单核苷酸多态性(SNP)组合在一起。我们还使用了高度和教育程度的全基因组关联研究数据,分别代表了阴性和阳性对照分析。结果:有一些证据表明大麻引发对精神分裂症的风险具有因果关系(OR为大麻引发几率的1.04,95%CI 1.01、1.07,P = 0.019)。有强有力的证据与精神分裂症风险对大麻引发可能性的因果关系一致(OR为精神分裂症几率翻倍的1.10,95%CI 1.05,1.14,P = 2.64×10-5)。结果与阴性对照的预测结果相同(身高或1.00,95%CI 0.99至1.01,P = 0.90),但比阳性对照的预测结果弱(受教育年限或0.99,95%CI 0.97至1.00,P = 0.066)分析。结论:我们的结果提供了一些证据,尽管因果估计的规模很小,但大麻引发会增加精神分裂症的风险。我们发现更有力的证据表明,精神分裂症的风险可以预测大麻的启动,可能是因为精神分裂症的遗传手段比大麻启动的作用更强。

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