A bi-directional Mendelian randomization study of sarcopenia-related traits and renal function.

IF 0.4 4区 数学 Q3 Mathematics
Xiaoyan Zhou, Yan Sun, Yujie Hu, Guoshuai Yang
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Abstract

The association between sarcopenia and renal function has been reported in observational studies; however, the directionality and potential causal nature of these associations remain uncertain. We assessed whether genetically predicted sarcopenia-related traits are associated with renal function and vice versa using bidirectional Mendelian randomization (MR). We conducted a bidirectional two-sample MR analysis using publicly available European-ancestry GWAS summary statistics for appendicular lean mass (ALM), hand-grip strength (left and right), and walking pace, and for renal function (cystatin C-based estimated glomerular filtration rate [eGFRcystatin C] and urinary albumin excretion [UAE]). Causal estimates were primarily obtained using inverse-variance weighted (IVW) models, complemented by sensitivity analyses (MR-Egger intercept, weighted median/mode, MR-PRESSO, Radial MR, and leave-one-out). In forward MR, genetically predicted walking pace was positively associated with eGFRcystatin C. Genetically predicted ALM and grip strength (right and left) were inversely associated with UAE. In reverse MR, genetically predicted UAE was inversely associated with ALM and right-hand grip strength. Estimates were broadly consistent across sensitivity analyses, and outlier-robust analyses (MR-PRESSO/Radial MR) yielded similar results. These findings provide genetic evidence consistent with bidirectional relationships between sarcopenia-related traits and renal function (particularly UAE), under standard MR assumptions. Given potential limitations (e.g., heterogeneity, pleiotropy, and possible sample overlap), the results should be interpreted cautiously and complemented by other lines of evidence.

肌少症相关特征与肾功能的双向孟德尔随机研究。
观察性研究已经报道了肌肉减少症和肾功能之间的关系;然而,这些关联的方向性和潜在的因果性质仍然不确定。我们使用双向孟德尔随机化(MR)评估了基因预测的肌少症相关性状是否与肾功能相关,反之亦然。我们使用公开的欧洲血统GWAS汇总统计数据进行了双向双样本MR分析,包括阑尾瘦质量(ALM)、握力(左握力和右握力)、步行速度和肾功能(基于胱抑素C的肾小球滤过率[eGFRcystatin C]和尿白蛋白排泄[UAE])。因果估计主要通过反方差加权(IVW)模型获得,辅以敏感性分析(MR- egger截距、加权中位数/模式、MR- presso、Radial MR和leave-one-out)。在正向MR中,基因预测的步行速度与eGFRcystatin c呈正相关。基因预测的ALM和握力(右和左)与阿联酋呈负相关。在相反的MR中,基因预测的阿联酋与ALM和右手握力呈负相关。敏感性分析的估计值大致一致,离群稳健分析(MR- presso /Radial MR)得出了类似的结果。在标准MR假设下,这些发现提供了与肌少症相关特征与肾功能(特别是UAE)之间双向关系一致的遗传证据。考虑到潜在的局限性(如异质性、多效性和可能的样本重叠),结果应谨慎解释,并辅以其他证据。
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来源期刊
CiteScore
1.20
自引率
11.10%
发文量
8
审稿时长
6-12 weeks
期刊介绍: Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.
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