Zhu Mengyuan, Wei Min, Huang Shan, Pan Xiaofen
Department of Oncology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
J Thorac Dis. 2024 Aug 31;16(8):4852-4862. doi: 10.21037/jtd-24-361. Epub 2024 Jul 24.
Previous research has found a link between the temperature of food and beverages and the risk of esophageal cancer (EC). A causal relationship between the two has not been well established. Herein, we used Mendelian randomization (MR) analysis to assess the causal effect of temperature preference for hot beverages on EC risk.
Genome-wide association studies (GWAS) data for hot beverage temperature preference were obtained from the UK biobank. There were 457,873 European and 2,617 East Asian participants included. GWAS data for EC were obtained from the Integrative Epidemiology Unit (IEU) project database. Two datasets from the European population and two datasets from the East Asian population were included. Totally, 4,426 EC cases and 1,202,270 control subjects were included. The "TwoSampleMR" R package was used to conduct a two-sample MR analysis. A random-effect inverse variance weighted (IVW) was used as the main analytical method to estimate the causal effect, and various sensitivity analyses, including MR Egger, weighted median, simple mode, and weighted mode, were used to examine the potential violation of the second and third MR assumptions. Meta-analyses were performed to further confirm the results.
Sixty-eight single nucleotide polymorphisms (SNPs) from the European population and 11 SNPs from the East Asian population were used for MR analysis. No significant causal effect was found between hot beverage temperature preference and EC risk in the European population {for the ieu-b-4960 dataset, inverse variance weighted odds ratio (OR) =1.00 [95% confidence interval (CI): 0.99-1.00], P=0.54; for the ebi-a-GCST90018841 dataset, OR =0.35 (95% CI: 0.10-1.29), P=0.12} or in the East Asian population [for the bbj-a-117 dataset, OR =1.09 (95% CI: 0.80-1.48), P=0.59; for the ebi-a-GCST90018621 dataset, OR =0.11 (95% CI: 0.82-1.50), P=0.49]. Meta-analyses of the European population datasets and the Asian population datasets showed consistent results.
The current MR analysis provides new genetic evidence for a null causal relationship between hot beverage temperature preference and EC, both in the European population and the East Asian population. Evidence to prevent EC by reducing the intake of hot beverages is insufficient.
先前的研究发现食物和饮料的温度与食管癌(EC)风险之间存在联系。两者之间的因果关系尚未得到充分证实。在此,我们使用孟德尔随机化(MR)分析来评估热饮温度偏好对EC风险的因果效应。
从英国生物银行获得热饮温度偏好的全基因组关联研究(GWAS)数据。纳入了457,873名欧洲参与者和2,617名东亚参与者。EC的GWAS数据来自综合流行病学单位(IEU)项目数据库。包括来自欧洲人群的两个数据集和来自东亚人群的两个数据集。总共纳入了4,426例EC病例和1,202,270名对照受试者。使用“TwoSampleMR”R包进行两样本MR分析。采用随机效应逆方差加权(IVW)作为主要分析方法来估计因果效应,并使用各种敏感性分析,包括MR Egger、加权中位数、简单模式和加权模式,来检验是否可能违反MR的第二个和第三个假设。进行荟萃分析以进一步证实结果。
来自欧洲人群的68个单核苷酸多态性(SNP)和来自东亚人群的11个SNP用于MR分析。在欧洲人群中,热饮温度偏好与EC风险之间未发现显著的因果效应{对于ieu-b-4960数据集,逆方差加权比值比(OR)=1.00[95%置信区间(CI):0.99 - 1.00],P = 0.54;对于ebi-a-GCST90018841数据集,OR = 0.35(95% CI:0.10 - 1.29),P = 0.12},在东亚人群中也未发现显著因果效应[对于bbj-a-117数据集,OR = 1.09(95% CI:0.80 - 1.48),P = 0.59;对于ebi-a-GCST90018621数据集,OR = 0.11(95% CI:0.82 - 1.50),P = 0.49]。对欧洲人群数据集和亚洲人群数据集的荟萃分析显示了一致的结果。
当前的MR分析为欧洲人群和东亚人群中热饮温度偏好与EC之间不存在因果关系提供了新的遗传证据。通过减少热饮摄入量来预防EC的证据不足。