EnDisease: a manually curated database for enhancer-disease associations

Database : the Journal of Biological Databases and Curation
Wanwen ZengRui Jiang

Abstract

Genome-wide association studies have successfully identified thousands of genomic loci potentially associated with hundreds of complex traits in the past decade. Nevertheless, the fact that more than 90% of such disease-associated variants lie in non-coding DNA with unknown functional implications has been appealing for advanced analysis of plenty of genetic variants. Toward this goal, recent studies focusing on individual non-coding variants have revealed that complex diseases are often the consequences of erroneous interactions between enhancers and their target genes. However, such enhancer-disease associations are dispersed in a variety of independent studies, and thus far it is still difficult to carry out comprehensive downstream analysis with these experimentally supported enhancer-disease associations. To fill in this gap, we collected experimentally supported associations between complex diseases and enhancers and then developed a manually curated database called EnDisease (http://bioinfo.au.tsinghua.edu.cn/endisease/). Concretely, EnDisease documents 535 associations between 133 diseases and 454 enhancers, extracted from 199 articles. Moreover, after annotating these enhancers using 649 human and 115 mouse DNase-seq e...Continue Reading

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Citations

Aug 17, 2019·Frontiers in Cellular Neuroscience·Elena PerenthalerTahsin Stefan Barakat
Feb 13, 2020·Briefings in Bioinformatics·Yanyu LiChunquan Li
Oct 13, 2020·Nucleic Acids Research·Wanwen ZengRui Jiang
Oct 24, 2020·Nucleic Acids Research·Qi PanChun-Quan Li
Aug 28, 2021·Biomolecules·Fotis A BaltoumasGeorgios A Pavlopoulos

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Software Mentioned

Safari
Apache
DiseaseEnhancer
Internet Explorer
MySQL
UCSC Genome Browser
BAM
EnDisease
Linux
Google Chrome

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