使用MORFEE增强小ORF改变变异的注释:引入MORFEEdb,这是对SNV影响人类5'UTR上游ORF的全面目录
Caroline Meguerditchian1, David Baux2,3,4, Thomas E Ludwig5,6
1Université de Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, F-3000 Bordeaux, France.
NAR genomics and bioinformatics
|March 20, 2025
概括
我们升级了MORFEE生物信息学工具,以识别影响所有小型开放阅读框架 (sORF) 的遗传变异,包括上游,内部和下游的ORF. 这种工具有助于诊断罕见疾病并了解复杂的特征.
科学领域:
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 非正规的小开放阅读框架 (sORF) 调节基因表达,上游ORF (upORF) 已经得到了充分的研究.
- 在编码序列和3'UTR中,内部ORF (intORF) 和下游ORF (dORF) 的理解较少.
- 现有的工具主要预测影响上方ORF的单核酸变体 (SNV),忽视其他sORF类型和启动地点.
研究的目的:
- 升级MORFEE生物信息学工具,以便在所有sORF类型中全面预测SNV.
- 创建MORFEEdb,一个影响人类sORFs的SNVs目录.
- 开发一个R脚本来可视化这些遗传变异的变化.
主要方法:
- 增强MORFEE生物信息学工具,以处理VCF文件并识别影响upORF,intORF和dORF的SNV.
- 生成MORFEEdb,这是人类转录中潜在的SNV的详尽目录.
- 在Mobidetails平台上实现MORFEEdb,并提供R可视化脚本.
主要成果:
- 升级的MORFEE工具可以识别SNVs改变所有类型的sORFs.
- MORFEEdb提供了一个全面的资源,用于人类转录中的sORF改变SNVs.
- 对ClinVar变体的注释表明,超过45%的UTR-SNV影响了上ORF或dORF.
结论:
- MORFEE和MORFEEdb为改善人类罕见疾病的分子诊断提供了显著的潜力.
- 这些工具可以促进从复杂特征的全基因组关联研究中识别功能变异.
- 对sORF及其变体的全面分析有助于我们对基因调节和遗传疾病的理解.
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