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MRanalysis:一个全面的在线平台,用于集成,多方法的门德尔随机化和相关的后GWAS分析

Abao Xing¹, Tiantian Cai², Haofan Du³

¹Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Rua de Luís Gonzaga Gomes, Macao, 999078, Macao SR.

|October 22, 2025

概括

MRanalysis和GWASkit简化了门德尔随机化 (MR) 和全基因组关联研究 (GWAS) 数据分析. 这些工具提高了遗传流行病学研究的可访问性,可靠性和效率.

科学领域:

流行病学流行病学
遗传流行病学遗传流行病学
生物信息学是一种生物信息学.

背景情况:

门德尔随机化 (MR) 使用全基因组关联研究 (GWAS) 数据推断因果关系.
数据格式不一致,工作流标准化问题以及编程技能要求阻碍了MR的采用.
为了解决这些局限性,MR分析和GWASkit被开发出来.

研究的目的:

开发用于集成MR分析和GWAS数据预处理的用户友好工具.
降低MR分析的进入障碍,使其更容易获得和更有效.
加速遗传流行病学方面的发现,并为公共卫生战略提供信息.

主要方法:

MRanalysis提供了一个无代码的,基于Web的平台,用于全面的MR分析.
GWASkit为快速的GWAS数据预处理提供了一个独立的工具,包括rs ID转换和格式标准化.
这两种工具都有直观的界面,并显示出高精度和效率.

主要成果:

MRanalysis支持单变量,多变量和调度MR分析,具有综合质量评估,功率估计和可视化.
与现有的工具相比,GWASkit显著提高了GWAS数据预处理的准确性和效率.
案例研究证实了MR分析和GWASkit的实际实用性和效率.

结论:

MRanalysis和GWASkit使MR分析民主化,提高了其可访问性,可靠性和效率.
这些工具可以加速遗传发现,支持公共卫生倡议,并指导有针对性的干预.
核磁共振分析和GWASkit在理解基因-环境-健康结果关系方面取得了重大进展.

关键词:

在GWAS中,GWAS就是GWAS.在GWASkit中使用.进行MR分析.门德尔的随机化在线平台在线平台.在SNP-to-gene丰富过程中视觉化的可视化 rs ID 的转换方法

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