ProteoNexus:一个整合性数据库来描述遗传架构,估计调解效应,并构建和评估等离子体蛋白质组的预测模型
Kaixin Shao1, Zixin Luo1, Peng Huang2
1Department of Biostatistics, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Nucleic acids research
|October 29, 2025
概括
ProteoNexus是一个新的数据库,集成性别特定的蛋白质组数据,包括蛋白质定量特征位点 (pQTLs),用于疾病预测. 它提供了一种在线工具,用于分析蛋白质组数据并确定暴露和疾病之间的因果关系.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 蛋白质是疾病的关键媒介和疾病模型的预测因素.
- 现有的蛋白质组资源缺乏性别特异性,生物银行规模的整合.
- 对性别特异性疾病预测模型需要一个整合性资源.
研究的目的:
- 介绍ProteoNexus,一个全面的,性别特定的蛋白质基因数据库.
- 整合蛋白质定量特征位点 (pQTLs),调解分析和疾病风险预测.
- 为分析大规模蛋白质组和暴露数据提供一个可访问的平台.
主要方法:
- 开发了用于pQTL映射,调解分析和风险预测的标准化管道.
- 来自33325名欧洲参与者的综合数据,包括基于测量的环境和SNP数据.
- 应用机器学习算法,具有21个优化参数用于数据分析.
主要成果:
- 在综合性数据集中确定了16998个假定因果性pQTL (cis-和trans-).
- 发现的性别特异性pQTLs:女性9,464个,男性7,832个.
- 确定了与基于测量的变量,环境因素和SNP相关的重要途径.
结论:
- ProteoNexus提供了一个前所未有的,性别特定的蛋白质基因资源.
- 该数据库有助于识别暴露和疾病之间的因果关系.
- 在线分析模块使研究人员能够调查他们自己的蛋白质组数据.
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