Suppr超能文献

与转化生长因子-β信号通路相关的基因变异调节半月板损伤风险:一项多血统全基因组关联研究。

Genetic Variants Related to TGF-β Signaling Pathway Modulate Risk of Meniscus Injury: A Multiancestry Genome-wide Association Study.

作者信息

Umesh Amith, Cordogan Stephan, Simpson Shae K, Bram Joshua T, Jones Ruth H, Schairer William W, Sboner Andrea, Elemento Olivier, Green Daniel W, Fabricant Peter D

机构信息

Hospital for Special Surgery, New York, NY, USA.

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.

出版信息

Clin Orthop Relat Res. 2025 Sep 17. doi: 10.1097/CORR.0000000000003679.

Abstract

BACKGROUND

Numerous clinical risk factors and moderate heritability have been reported for meniscus injury. However, the genetic etiology of meniscus injury remains understudied. This study was a multiancestry genome-wide association study (GWAS) of meniscus injury aimed at identifying genomic variants that influence risk and elucidating the mechanisms by which they may exert their effects.

QUESTIONS/PURPOSES: (1) Which single nucleotide polymorphisms (SNPs), genes, and molecular pathways are associated with meniscus injury? (2) How do independent SNPs with genome-wide significance alter the expression of genes within cells related to the meniscus? (3) Can a polygenic risk score (PRS) for meniscus injury discriminate between patients with meniscus injury and controls? (4) Does obesity increase the risk of meniscus injury using a Mendelian randomization framework?

METHODS

A meta-analysis of 38,062 patients with meniscus injury and 700,343 control participants was performed using GWAS summary statistics from the NIH's All of Us and FinnGen cohorts. All of Us provided an ancestrally diverse cohort for a multiancestry GWAS. Functional Mapping and Annotation of Genetic Variants (FUMA) and Meta-Analysis Gene-Set Mining of GWAS (MAGMA) platforms were used to identify genes of interest and perform expression quantitative trait loci and chromatin interaction mapping of SNPs with genome-wide significance. A PRS was developed for European individuals using the FinnGen GWAS and was validated on a European cohort from All of Us. Mendelian randomization assesses putative causal associations between an exposure and outcomes given random assortment of alleles during meiotic recombination and was used to analyze the risk of obesity and meniscus injury.

RESULTS

Twelve independent genome-wide significant loci (p < 5 × 10-8) were identified, and genes UQCC1, BMP6, EGR2, CAPZB, SMG6 were associated with meniscus injury after Bonferroni correction for all identified genes (p < 2.6 × 10-6). A subset of genes identified through MAGMA were enriched in the transforming growth factor-β (TGF-β) signaling pathway. Independent SNPs altered expression of genes related to the TGF-β pathway, including GDF5, BMP6, MMP24, and UQCC1. As an independent intronic SNP of UQCC1, rs2425055 was in chromosomal contact with GDF5OS in mesenchymal stem cells and decreased the expression of GDF5OS. A PRS for meniscus injury demonstrated differences in genetic risk between patients with meniscus injury and control participants (area under the curve 0.53 [95% confidence interval (CI) 0.51 to 0.54], OR per SD increase 1.10 [95% CI 1.05 to 1.15]; p = 3.34 × 10-5). Mendelian randomization demonstrated that genetic predisposition to obesity increased the risk of meniscus injury (OR 1.29 [95% CI 1.24 to 1.34]; p = 9.58 × 10-38).

CONCLUSION

The 12 independent genetic variants identified suggest a genetic contribution to meniscus injury risk across multiple ancestries. These SNPs may modulate meniscus injury risk by modifying genetic expression of key upstream regulators of the TGF-β signaling pathway (GDF5,BMP6,TGF-β2) and related genes (UQCC1,EGR2,MMP24). Although previous studies have implicated BMP6 and EGR2 in meniscus fibrochondrocyte differentiation and adaptive stress responses, our results demonstrate that genetic variation related to these genes modifies meniscus injury risk at a population level. In addition to demonstrating a putative causal relationship between obesity and meniscus injury through Mendelian randomization, we present a validated PRS that predicted risk of meniscal injury.

CLINICAL RELEVANCE

The genes related to meniscus injury identified in this GWAS are promising therapeutic targets for studies on meniscus regeneration. Our validated PRS presents an opportunity to develop screening and prevention strategies for individuals at high risk of meniscus injury.

摘要

背景

半月板损伤已报道了众多临床风险因素和中等程度的遗传力。然而,半月板损伤的遗传病因仍研究不足。本研究是一项针对半月板损伤的多血统全基因组关联研究(GWAS),旨在识别影响风险的基因组变异,并阐明其发挥作用的机制。

问题/目的:(1)哪些单核苷酸多态性(SNP)、基因和分子途径与半月板损伤相关?(2)具有全基因组意义的独立SNP如何改变与半月板相关的细胞内基因的表达?(3)半月板损伤的多基因风险评分(PRS)能否区分半月板损伤患者和对照组?(4)使用孟德尔随机化框架,肥胖是否会增加半月板损伤的风险?

方法

利用美国国立卫生研究院“我们所有人”队列和芬兰基因队列的GWAS汇总统计数据,对38062例半月板损伤患者和700343例对照参与者进行荟萃分析。“我们所有人”队列提供了一个多血统GWAS的多样化祖先队列。使用遗传变异的功能映射和注释(FUMA)以及GWAS的荟萃分析基因集挖掘(MAGMA)平台来识别感兴趣的基因,并对具有全基因组意义的SNP进行表达定量性状位点和染色质相互作用映射。利用芬兰基因GWAS为欧洲个体开发了一个PRS,并在来自“我们所有人”队列的欧洲队列中进行了验证。孟德尔随机化评估减数分裂重组过程中给定等位基因随机分配时暴露与结局之间的假定因果关联,并用于分析肥胖和半月板损伤的风险。

结果

确定了12个独立的全基因组显著位点(p < 5×10⁻⁸),在对所有鉴定出的基因进行Bonferroni校正后(p < 2.6×10⁻⁶),基因UQCC1、BMP6、EGR2、CAPZB、SMG6与半月板损伤相关。通过MAGMA鉴定出的一部分基因在转化生长因子-β(TGF-β)信号通路中富集。独立SNP改变了与TGF-β通路相关的基因的表达,包括GDF5、BMP6、MMP24和UQCC1。作为UQCC1的一个独立内含子SNP,rs2425055在间充质干细胞中与GDF5OS存在染色体接触,并降低了GDF5OS的表达。半月板损伤的PRS显示半月板损伤患者和对照参与者之间存在遗传风险差异(曲线下面积0.53 [95%置信区间(CI)0.51至0.54],每标准差增加的OR为1.10 [95% CI 1.05至1.15];p = 3.34×10⁻⁵)。孟德尔随机化表明,肥胖的遗传易感性增加了半月板损伤的风险(OR 1.29 [95% CI 1.24至1.34];p = 9.58×10⁻³⁸)。

结论

鉴定出的12个独立遗传变异表明,多种血统的半月板损伤风险存在遗传因素。这些SNP可能通过改变TGF-β信号通路关键上游调节因子(GDF5、BMP6、TGF-β2)和相关基因(UQCC1、EGR2、MMP24)的基因表达来调节半月板损伤风险。尽管先前的研究表明BMP6和EGR2与半月板纤维软骨细胞分化和适应性应激反应有关,但我们的结果表明,与这些基因相关的遗传变异在人群水平上改变了半月板损伤风险。除了通过孟德尔随机化证明肥胖与半月板损伤之间的假定因果关系外,我们还提出了一个经过验证的PRS,可预测半月板损伤风险。

临床意义

本GWAS中鉴定出的与半月板损伤相关的基因是半月板再生研究中有前景的治疗靶点。我们经过验证的PRS为开发针对半月板损伤高风险个体的筛查和预防策略提供了机会。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验