基于集合基因组数据的孟德尔随机化方法,探索与勃起功能障碍相关的遗传因素。

IF 1.5 Q3 UROLOGY & NEPHROLOGY American journal of clinical and experimental urology Pub Date : 2024-10-15 eCollection Date: 2024-01-01 DOI:10.62347/GENV7771
Hai Mao, Jianjun Li, Feiqiang Ren, Bin Xu, Wei Tan, Jie Wang, Yu Guo
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引用次数: 0

摘要

背景:遗传因素被认为在勃起功能障碍(ED)中扮演着重要角色,但寻找特定的ED相关基因仍是一个神秘的领域,研究有限且没有定论:全血表达定量性状位点(eQTLs)和与 ED 遗传学相关的 GWAS 数据来自芬兰的 Finngen 数据库,该数据库包含 1154 个病例和 94024 个对照数据集,最终共有 95178 个受检个体。根据这些汇总数据,对 ED 进行了孟德尔随机化(MR)分析。随后的PPI和单细胞类型表达分析有助于确定潜在的致病基因,揭示基因的功能及其与表型的关联:经过SMR分析,筛选出110个ED相关基因,其中MDM4 Degree的OR值最高,为1.8453076,位于1号染色体上,有促进ED的风险。单细胞测序分析结果显示,MDM4基因在六种细胞类型中均有表达,进一步证实了MDM4基因在ED中的作用:我们的研究表明,在 110 个与 ED 相关的基因中,MDM4 与 ED 风险的增加高度相关。这些发现有力地支持了针对 ED 患者的个性化治疗策略决策。
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A Mendelian randomisation approach to explore genetic factors associated with erectile dysfunction based on pooled genomic data.

Background: Genetic factors are thought to play a major role in erectile dysfunction (ED), but the search for specific ED-related genes remains a mysterious area characterised by limited and inconclusive research.

Methods: Whole blood expression quantitative trait loci (eQTLs) and the GWAS data related to the genetics of ED are derived from a Finnish database, Finngen, which contains a dataset of 1154 cases and 94024 controls, culminating in a total of 95178 individuals under scrutiny. Based on these pooled data, a Mendelian randomisation (MR) analysis of ED was performed. Subsequent analyses of PPI and single cell type expression help identify potential pathogenic genes, revealing the function of genes and their association with phenotypes.

Results: After SMR analysis, 110 ED-associated genes were screened, of which MDM4 Degree had the highest value with an OR of 1.8453076, was displaced on chromosome 1, and had a risk of promoting ED. Single-cell sequencing analysis results demonstrate the expression of the MDM4 gene in six cell types, further confirming the role of the MDM4 gene in ED.

Conclusions: Our study showed that among the 110 genes associated with ED, MDM4 was highly associated with an increased risk of ED. These findings strongly support personalised treatment strategies decision-making for ED patients.

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