Chen Lanlan, Fan Zhongqi, Sun Xiaodong, Qiu Wei, Mu Wentao, Chai Kaiyuan, Cao Yannan, Wang Guangyi, Lv Guoyue
Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China.
Front Pharmacol. 2022 Aug 26;13:900424. doi: 10.3389/fphar.2022.900424. eCollection 2022.
Several risk factors have been identified for CCA, however, whether such associations were causal remains unknown. Mendelian randomization (MR) has been applied to examine the causal relationship between 26 putative risk factors and CCA. The genetic variants for each risk factor were extracted from their corresponding genome-wide association study (GWAS) if they reached the genome-wide significance (-value < 5 × 10). The genetic associations with CCA were obtained from the publicly available GWAS with the largest sample size. Mainly, inverse-variance weighted (IVW) has been adopted to estimate the causal effect on CCA. Both multivariable and mediation MR analyses were carried out to detect independent factors. Three putative risk factors can causally elevate the risk of CCA after FDR correction, including liver fat content (LFC), non-alcoholic fatty liver disease (NAFLD), and cholelithiasis. The odds of CCA would increase per 1-SD increase in the liver fat content (LFC) (OR = 2.12 [1.66, 2.71]) and logOR of NAFLD. The genetic liability to cholelithiasis would increase the risk of CCA as well (OR = 2.17 [1.47, 3.20]). They were still significant in other methods. The multivariable MR analysis indicated that genetically-elevated LFC should increase the risk of CCA independently of cholelithiasis (OR = 1.88 [1.39, 2.55]). In the mediation MR analysis, the indirect effect was not significant when treating cholelithiasis as the mediator (indirect OR = 0.95 [0.85, 1.07]). This MR study identified that gallstone and liver fat accumulation are two independent risk factors of CCA, suggesting two modifiable ways of preventing CCA.
已经确定了几种CCA的风险因素,然而,这些关联是否具有因果关系仍然未知。孟德尔随机化(MR)已被用于研究26种假定风险因素与CCA之间的因果关系。如果每个风险因素的基因变异达到全基因组显著性(-值<5×10),则从其相应的全基因组关联研究(GWAS)中提取。与CCA的基因关联来自样本量最大的公开可用GWAS。主要采用逆方差加权(IVW)来估计对CCA的因果效应。进行了多变量和中介MR分析以检测独立因素。在进行FDR校正后,三种假定风险因素可因果性地增加CCA风险,包括肝脏脂肪含量(LFC)、非酒精性脂肪性肝病(NAFLD)和胆石症。肝脏脂肪含量(LFC)每增加1个标准差,CCA的几率就会增加(OR = 2.12 [1.66, 2.71])以及NAFLD的logOR。胆石症的遗传易感性也会增加CCA风险(OR = 2.17 [1.47, 3.20])。在其他方法中它们仍然显著。多变量MR分析表明,遗传上升高的LFC应独立于胆石症增加CCA风险(OR = 1.88 [1.39, 2.55])。在中介MR分析中,将胆石症作为中介时间接效应不显著(间接OR = 0.95 [0.85, 1.07])。这项MR研究确定胆石症和肝脏脂肪堆积是CCA的两个独立风险因素,提示了两种可改变的预防CCA的方法。