Yang Zhongli, Yang Jiekun, Mao Ying, Li Ming D
State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, China.
Front Psychiatry. 2022 Aug 18;13:924062. doi: 10.3389/fpsyt.2022.924062. eCollection 2022.
Although various susceptibility genes have been revealed to influence tobacco smoking, the underlying regulatory mechanisms between genetic variants and smoking are poorly understood. In this study, we investigated -expression quantitative trait loci (-eQTLs) and methylation quantitative trait loci (mQTLs) for 56 candidate smoking-linked genes using the BrainCloud cohort samples. An eQTL was revealed to significantly affect expression in the European sample and two mQTLs were respectively detected in CpG sites in and . Interestingly, we found for the first time that the minor allele of the single nucleotide polymorphism (SNP) rs3745277 located in (downstream of ) significantly decreased methylation at the CpG site for (cg25427638; = 5.31 × 10), reduced expression of ( = 0.03), and lowered the percentage of smokers (8.8% vs. 42.3%; Odds Ratio (OR) = 0.14, 95% Confidence Interval (CI): 0.02-0.62; = 4.47 × 10) in a dominant way for the same cohort sample. Taken together, our findings resulted from analyzing genetic variation, DNA methylation, mRNA expression, and smoking status together using the same participants revealed a regulatory mechanism linking mQTLs to the smoking phenotype. Moreover, we demonstrated the presence of different regulatory effects of low-frequency and common variants on mRNA expression and DNA methylation.
尽管已经发现多种易感基因会影响吸烟行为,但基因变异与吸烟之间潜在的调控机制仍知之甚少。在本研究中,我们使用BrainCloud队列样本对56个与吸烟相关的候选基因进行了表达数量性状基因座(eQTL)和甲基化数量性状基因座(mQTL)分析。在欧洲样本中发现一个eQTL对基因表达有显著影响,并且分别在基因和的CpG位点检测到两个mQTL。有趣的是,我们首次发现位于基因(下游)的单核苷酸多态性(SNP)rs3745277的次要等位基因显著降低了基因(cg25427638;P = 5.31×10)的CpG位点甲基化水平,降低了基因的表达(P = 0.03),并以显性方式降低了同一队列样本中的吸烟者比例(8.8%对42.3%;优势比(OR)= 0.14,95%置信区间(CI):0.02 - 0.62;P = 4.47×10)。综合来看,我们通过对同一批参与者的基因变异、DNA甲基化、mRNA表达和吸烟状态进行联合分析,发现了一种将mQTL与吸烟表型联系起来的调控机制。此外,我们还证明了低频和常见变异对mRNA表达和DNA甲基化存在不同的调控作用。