使用基于汇总数据的孟德尔随机化和共定位分析鉴定线粒体功能障碍和肌肉减少症之间的关联

Jiale Xie, Jinrong Hao, Xin Xu, Jiachen Wang, Dinglong Yang, Hui Yu, Junfei Guo, Mingyi Yang, Peng Xu
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Aggregated data for sarcopenia-related traits [(including low hand grip strength (LHGS), appendiceal lean mass (ALM), and usual walking pace (UWP) were provided by large-scale genome-wide association studies (GWASs). We integrated eQTLs data with GWAS data to estimate genetic association between mitochondrial dysfunction and sarcopenia using summary-data-based Mendelian randomization (SMR) analysis. Additionally, we implemented colocalization analysis to strengthen their association. Finally, eQTLs data from skeletomuscular tissue (n = 706) was used to validate the primary findings. Results By integrating the analysis results from the three sarcopenia-related traits, two mitochondrial genes genetically associated with sarcopenia were identified, namely UQCC1 (tier 2 evidence) and ETFDH (tier 3 evidence). 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引用次数: 0

摘要

线粒体功能障碍已被证明是肌肉减少症的一个重要标志,但其具体机制尚不清楚。在这项研究中,线粒体相关基因被用作替代线粒体功能障碍的工具变量,肌少症相关性状的汇总数据被用作检验其遗传关联的结果。方法从人MitoCarta3.0数据库中提取1136个线粒体相关基因。从基因表达数量性状位点(eQTLs)研究中获得遗传工具(n = 31,684)。大规模全基因组关联研究(GWASs)提供了肌肉减少症相关特征(包括低握力(LHGS)、阑尾瘦质量(ALM)和正常步行速度(UWP))的汇总数据。我们使用基于汇总数据的孟德尔随机化(SMR)分析,将eqtl数据与GWAS数据整合,以估计线粒体功能障碍与肌肉减少症之间的遗传关联。此外,我们实施了共定位分析,以加强它们之间的联系。最后,骨骼肌组织(n = 706)的eqtl数据被用来验证主要发现。结果通过整合三个肌少症相关性状的分析结果,鉴定出两个与肌少症相关的线粒体基因,即UQCC1(二级证据)和ETFDH(三级证据)。具体来说,UQCC1表达水平升高会增加LHGS的风险(OR = 1.114;95% ci, 1.078-1.152;P-FDR = 1.70 × 10-7),与UWP呈负相关(Beta = -0.015;95% ci, -0.021 - -0.010;P-fdr = 6.70 × 10-5)。此外,发现ETFDH表达水平升高与较低的ALM (Beta = 0.031;95% ci, 0.020-0.042;P-FDR = 1.41 × 10-6)和UWP (Beta = 0.013;95% ci, 0.006-0.021;P-fdr = 0.029)。值得注意的是,在特定的骨骼肌组织中复制了一致的结果,进一步表明我们的发现是稳健的。我们的分析揭示了两个线粒体相关基因,即UQCC1和ETFDH与肌少症之间的遗传关联,突出了这些基因驱动的线粒体功能障碍在肌少症发病中的关键作用。重要的是,这些候选基因代表了治疗肌肉减少症的潜在临床药物靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of association between mitochondrial dysfunction and sarcopenia using summary-data-based Mendelian randomization and colocalization analyses
Background Mitochondrial dysfunction has been demonstrated to be an important hallmark of sarcopenia, yet its specific mechanism remains obscure. In this study, mitochondrial-related genes were used as instrumental variables to proxy for mitochondrial dysfunction, and summary data for sarcopenia-related traits were used as outcomes to examine their genetic association. Methods A total of 1,136 mitochondrial-related genes from the human MitoCarta3.0 database were extracted. Genetic instruments for them were obtained from gene expression quantitative trait locus (eQTLs) study (n = 31,684). Aggregated data for sarcopenia-related traits [(including low hand grip strength (LHGS), appendiceal lean mass (ALM), and usual walking pace (UWP) were provided by large-scale genome-wide association studies (GWASs). We integrated eQTLs data with GWAS data to estimate genetic association between mitochondrial dysfunction and sarcopenia using summary-data-based Mendelian randomization (SMR) analysis. Additionally, we implemented colocalization analysis to strengthen their association. Finally, eQTLs data from skeletomuscular tissue (n = 706) was used to validate the primary findings. Results By integrating the analysis results from the three sarcopenia-related traits, two mitochondrial genes genetically associated with sarcopenia were identified, namely UQCC1 (tier 2 evidence) and ETFDH (tier 3 evidence). Specifically, elevated expression levels of UQCC1 increased LHGS risk (OR = 1.114; 95% CI, 1.078–1.152; P-FDR = 1.70 × 10-7), which matched the negative association between it and UWP (Beta = -0.015; 95% CI, -0.021 – -0.010; P-FDR = 6.70 × 10-5). Furthermore, elevated expression levels of ETFDH were found to be associated with both lower ALM (Beta = 0.031; 95% CI, 0.020–0.042; P-FDR = 1.41 × 10-6) and UWP (Beta = 0.013; 95% CI, 0.006–0.021; P-FDR = 0.029). Of note, consistent results were replicated in specific skeletomuscular tissues, further suggesting our findings were robust. Conclusions Our analyses revealed the genetic association between two mitochondrial-related genes, i.e., UQCC1 and ETFDH, and sarcopenia, highlighting the pivotal role of mitochondrial dysfunction driven by these genes in the pathogenesis of sarcopenia. Importantly, these candidate genes represent potential clinical drug targets for the treatment of sarcopenia.
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