Suppr超能文献

Enlight:基于网络的全基因组关联研究结果与生物学注释的整合

Enlight: web-based integration of GWAS results with biological annotations.

作者信息

Guo Yunfei, Conti David V, Wang Kai

机构信息

Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90033, Department of Preventive Medicine, USC Keck School of Medicine, Los Angeles, CA 90032 and Department of Psychiatry & Behavioral Sciences, USC Keck School of Medicine, Los Angeles, CA 90033, USA Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90033, Department of Preventive Medicine, USC Keck School of Medicine, Los Angeles, CA 90032 and Department of Psychiatry & Behavioral Sciences, USC Keck School of Medicine, Los Angeles, CA 90033, USA.

Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90033, Department of Preventive Medicine, USC Keck School of Medicine, Los Angeles, CA 90032 and Department of Psychiatry & Behavioral Sciences, USC Keck School of Medicine, Los Angeles, CA 90033, USA Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90033, Department of Preventive Medicine, USC Keck School of Medicine, Los Angeles, CA 90032 and Department of Psychiatry & Behavioral Sciences, USC Keck School of Medicine, Los Angeles, CA 90033, USA Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90033, Department of Preventive Medicine, USC Keck School of Medicine, Los Angeles, CA 90032 and Department of Psychiatry & Behavioral Sciences, USC Keck School of Medicine, Los Angeles, CA 90033, USA.

出版信息

Bioinformatics. 2015 Jan 15;31(2):275-6. doi: 10.1093/bioinformatics/btu639. Epub 2014 Sep 26.

Abstract

UNLABELLED

Identifying causal variants remains a key challenge in post-GWAS (genome-wide association study) era, as many GWAS single-nucleotide polymorphisms (SNPs) (including imputed ones) fall into non-coding regions, making it difficult to associate statistical significance with predicted functionality. Therefore, we created a web-based tool, Enlight, which overlays functional annotation information, such as histone modification states, methylation patterns, transcription factor binding sites, eQTL and higher-order chromosomal structure, to GWAS results.

AVAILABILITY AND IMPLEMENTATION

Accessible by a Web browser at http://enlight.usc.edu.

摘要

未标注

在全基因组关联研究(GWAS)时代,识别因果变异仍然是一个关键挑战,因为许多GWAS单核苷酸多态性(SNP,包括推算出的SNP)位于非编码区域,这使得难以将统计显著性与预测的功能联系起来。因此,我们创建了一个基于网络的工具Enlight,它将功能注释信息(如组蛋白修饰状态、甲基化模式、转录因子结合位点、表达数量性状基因座和高阶染色体结构)叠加到GWAS结果上。

可用性和实现方式

可通过网页浏览器访问http://enlight.usc.edu

相似文献

引用本文的文献

3
Regulatory variants: from detection to predicting impact.调控变体:从检测到预测影响。
Brief Bioinform. 2019 Sep 27;20(5):1639-1654. doi: 10.1093/bib/bby039.

本文引用的文献

9
LocusZoom: regional visualization of genome-wide association scan results.LocusZoom:全基因组关联扫描结果的区域可视化。
Bioinformatics. 2010 Sep 15;26(18):2336-7. doi: 10.1093/bioinformatics/btq419. Epub 2010 Jul 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验