Xianghua Shi , Yuan Pan , Jianhua Liu , Fei Luo , Binbin Li , Yuan Hu , Kai Chen
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引用次数: 0
Abstract
Background
Epidemiological reports indicate a potential association between androgenic alopecia (AGA) and increased prostate cancer (PC) prevalence, but conflicting reports also exist. This study aims to elucidate the causality of AGA on PC risk using Mendelian randomization (MR) analysis.
Materials and methods
Two-sample MR analyses utilized public genome-wide association studies summary data for single-nucleotide polymorphisms associated with AGA. Four statistical methods were used: inverse variance weighted (IVW), MR-Egger, weighted median, and weighted mode, with IVW as the preliminary estimation method. Additionally, sensitivity analyses were conducted to address pleiotropic bias.
Results
Genetically proxied AGA did not demonstrate a causal effect on PC risk (IVW P > 0.05). Consistently, complementary methods yielded results aligned with IVW.
Conclusions
Our MR analysis indicates no causal relationship between genetically predicted AGA and PC risk, suggesting that observed associations in epidemiological studies may not be causal.
背景流行病学报告显示雄激素性脱发(AGA)与前列腺癌(PC)发病率增加之间存在潜在关联,但也存在相互矛盾的报告。本研究旨在利用孟德尔随机化(MR)分析法阐明 AGA 与 PC 风险之间的因果关系。材料与方法利用与 AGA 相关的单核苷酸多态性的公共全基因组关联研究汇总数据进行了双样本 MR 分析。使用了四种统计方法:逆方差加权(IVW)、MR-Egger、加权中位数和加权模式,其中 IVW 是初步估算方法。此外,还进行了敏感性分析,以解决褶状偏倚问题。结果基因代入的 AGA 并未显示出对 PC 风险的因果效应(IVW P > 0.05)。结论我们的 MR 分析表明,基因预测 AGA 与 PC 风险之间没有因果关系,这表明流行病学研究中观察到的关联可能不是因果关系。
期刊介绍:
Prostate International (Prostate Int, PI), the official English-language journal of Asian Pacific Prostate Society (APPS), is an international peer-reviewed academic journal dedicated to basic and clinical studies on prostate cancer, benign prostatic hyperplasia, prostatitis, and ...