SGLT2 抑制剂、DPP4 抑制剂或 GLP1R 激动剂与前列腺癌风险之间的遗传关联:一项双样本孟德尔随机研究

Lin Shen, Yifang Yang, Lei Lu, Oscar Hou In Chou, Quinncy Lee, Tong Liu, Guoliang Li, Shuk Han Cheng, Gary Tse, Jiandong Zhou
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Genetic associations with HbA1c and risk of prostate cancer were extracted from IEU Open-GWAS Project database with GWAS id ukb-d-30750_irnt (UK Biobank cohort) and ebi-a-GCST006085 (European Molecular Biology Laboratory's European Bioinformatics Institute cohort), respectively. The two GWAS datasets chosen were obtained from individuals of European ancestry to minimise potential bias from population stratification. The encoding genes targeted by SGLT2I, DPP4I and GLP1RA were SGC5A2, DPP4 and GLP1R, located in Chr16: 31494323-31502181, Chr2: 162848755-162930904 and Chr6: 39016557-39059079, respectively. Results: A total of 31, 2 and 5 single nucleotide variants (SNVs) were used for SGC5A2, DPP4 and GLP1R. 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引用次数: 0

摘要

背景:流行病学研究表明,使用抗糖尿病药物钠-葡萄糖协同转运体-2抑制剂(SGLT2I)、二肽基肽酶-4抑制剂(DPP4I)和胰高血糖素样肽-1受体激动剂(GLP1RA)与前列腺癌风险有关。然而,这些研究并不能推断出因果关系。研究方法这是一项利用全基因组关联研究数据进行的双样本孟德尔随机化(MR)研究,旨在确定 SGLT2I、DPP4I 或 GLP1RA 与前列腺癌之间的因果关系。与 HbA1c 和前列腺癌风险相关的基因分别从 IEU Open-GWAS 项目数据库中提取,GWAS id 分别为 ukb-d-30750_irnt (英国生物库队列)和 ebi-a-GCST006085(欧洲分子生物学实验室的欧洲生物信息学研究所队列)。所选的两个 GWAS 数据集均来自欧洲血统的个体,以尽量减少人群分层可能造成的偏差。SGLT2I、DPP4I 和 GLP1RA 的编码基因分别是 SGC5A2、DPP4 和 GLP1R,位于 Chr16: 31494323-31502181、Chr2: 162848755-162930904 和 Chr6: 39016557-39059079。结果SGC5A2、DPP4 和 GLP1R 的单核苷酸变异(SNV)分别为 31、2 和 5 个。我们的 MR 分析结果支持 SLC5A2 和 DPP4 的遗传变异与前列腺癌风险降低之间存在因果关系(Bonferroni 校正阈值为 0.47 [0.38-0.58] 和 0.35 [0.24-0.53] 的几率比(OR)[95% 置信区间]),但 GLP1R 的几率比(OR:1.39 [0.93-2.07])不支持这种因果关系。通过撇除法进行的敏感性分析并未显著改变 SGLT2I 的 OR 值:双样本 MR 分析发现,SGLT2 和 DPP4 抑制与前列腺癌发病风险的降低有关,而 GLP1R 激动与前列腺癌发病风险的降低无关。
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Genetic associations between SGLT2 inhibition, DPP4 inhibition or GLP1R agonism and prostate cancer risk: a two-sample Mendelian randomisation study
Background: Epidemiological studies have linked the use of the anti-diabetic medications, sodium-glucose co-transporter-2 inhibitors (SGLT2I), dipeptidyl peptidase-4 inhibitors (DPP4I) and glucagon-like peptide-1 receptor agonists (GLP1RA), with prostate cancer risk. However, these studies cannot infer causality. Methods: This was a two-sample Mendelian randomization (MR) using genome-wide association study data designed to identify causal relationships between SGLT2I, DPP4I or GLP1RA and prostate cancer. Genetic associations with HbA1c and risk of prostate cancer were extracted from IEU Open-GWAS Project database with GWAS id ukb-d-30750_irnt (UK Biobank cohort) and ebi-a-GCST006085 (European Molecular Biology Laboratory's European Bioinformatics Institute cohort), respectively. The two GWAS datasets chosen were obtained from individuals of European ancestry to minimise potential bias from population stratification. The encoding genes targeted by SGLT2I, DPP4I and GLP1RA were SGC5A2, DPP4 and GLP1R, located in Chr16: 31494323-31502181, Chr2: 162848755-162930904 and Chr6: 39016557-39059079, respectively. Results: A total of 31, 2 and 5 single nucleotide variants (SNVs) were used for SGC5A2, DPP4 and GLP1R. Our MR analysis results supported a causal relationship between genetic variation in SLC5A2 and DPP4 and reduced risk of prostate cancer at the Bonferroni-corrected threshold, with odds ratios (OR) [95% confidence intervals] of 0.47 [0.38-0.58] and 0.35 [0.24-0.53], but not for GLP1R (OR: 1.39 [0.93-2.07]). Sensitivity analyses by the leave-one-out method did not significantly alter the OR for SGLT2I. Conclusions: The two-sample MR analysis found that SGLT2 and DPP4 inhibition, but not GLP1R agonism, was associated with lower risks of developing prostate cancer.
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