UNASSIGNED: We conducted a two-sample Mendelian randomization (MR) analysis using data from two separate genome-wide association studies (GWAS). The primary study included data for 123 blood metabolites from a GWAS with 25,000 Finnish individuals, while the secondary study had data for 249 blood metabolites from a GWAS with 114,000 UK Biobank participants.GWAS data for BCC were obtained from the UK Biobank for the primary analysis and the FinnGen consortium for the secondary analysis. Sensitivity analyses were performed to assess heterogeneity and pleiotropy.
UNASSIGNED: In the primary analysis, significant causal relationships were found between six metabolic traits and BCC with the inverse variance weighted (IVW) method after multiple testing [P < 4 × 10-4 (0.05/123)]. Four metabolic traits were discovered to be significantly linked with BCC in the secondary analysis, with a significance level of P < 2 × 10-4 (0.05/249). We found that all the significant traits are linked to Polyunsaturated Fatty Acids (PUFAs) and their degree of unsaturation.
UNASSIGNED: Our research has revealed a direct link between the susceptibility of BCC and Polyunsaturated Fatty Acids and their degree of unsaturation. This discovery implies screening and prevention of BCC.
■我们使用来自两个单独的全基因组关联研究(GWAS)的数据进行了两个样本孟德尔随机化(MR)分析。主要研究包括来自GWAS的123种血液代谢物的数据,其中有25,000名芬兰个体,而次要研究有来自GWAS的249种血液代谢产物的数据,其中有114,000名英国生物库参与者.BCC的GWAS数据来自英国生物银行,用于主要分析,FinnGen联盟用于次要分析。进行敏感性分析以评估异质性和多效性。
■在初步分析中,多重检验后,采用逆方差加权(IVW)方法发现六个代谢性状与BCC之间存在显着的因果关系[P<4×10-4(0.05/123)]。在二次分析中发现四个代谢性状与BCC显着相关,P<2×10-4(0.05/249)。我们发现所有重要性状都与多不饱和脂肪酸(PUFA)及其不饱和度有关。
■我们的研究揭示了BCC和多不饱和脂肪酸的敏感性与其不饱和度之间的直接联系。这一发现意味着筛查和预防BCC。