Publication: RTeQTL: Real-Time Online Engine for Expression Quantitative Trait Loci Analyses
Open/View Files
Date
2014
Authors
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
Oxford University Press
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Ma, Baoshan, Jinyan Huang, and Liming Liang. 2014. “RTeQTL: Real-Time Online Engine for Expression Quantitative Trait Loci Analyses.” Database: The Journal of Biological Databases and Curation 2014 (1): bau066. doi:10.1093/database/bau066. http://dx.doi.org/10.1093/database/bau066.
Research Data
Abstract
Our database tool, called Real-Time Engine for Expression Quantitative Trait Loci Analyses (RTeQTL), can efficiently provide eQTL association results that are not available in existing eQTL databases browsers. These functions include (i) single SNP (single-nucleotide polymorphism) and (ii) two-SNP conditional eQTL effects on gene expression regardless of the magnitude of P-values. The database is based on lymphoblastoid cell lines from >900 samples with global gene expression and genome-wide genotyped and imputed SNP data. The detailed result for any pairs of gene and SNPs can be efficiently computed and browsed online, as well as downloaded in batch mode. This is the only tool that can assess the independent effect of a disease- or trait-associated SNP on gene expression conditioning on other SNPs of interest, such as the top eQTL of the same gene. It is also useful to identify eQTLs for candidate genes, which are often missed in existing eQTL browsers, which only store results with genome-wide significant P-value. Additional analyses stratifying by gender can also be easily achieved by this tool. Database URL: http://eqtl.rc.fas.harvard.edu/
Description
Other Available Sources
Keywords
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service