title: RTeQTL: Real-Time Online Engine for Expression Quantitative Trait Loci Analyses.
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/.
authors.affiliation: College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China 116026, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA 02115 and Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA 02115College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China 116026, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA 02115 and Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA 02115 lliang@hsph.harvard.edu.
authors.forename: Baoshan
authors.initials: B
authors.lastname: Ma
authors.affiliation: College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China 116026, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA 02115 and Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA 02115.
authors.forename: Jinyan
authors.initials: J
authors.lastname: Huang
authors.affiliation: College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China 116026, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA 02115 and Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA 02115College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China 116026, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA 02115 and Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA 02115 lliang@hsph.harvard.edu.
authors.forename: Liming
authors.initials: L
authors.lastname: Liang
mesh_terms: D002460:Cell Line; D003628:Database Management Systems; D020869:Gene Expression Profiling / Q000379:methods*; D023281:Genomics / Q000379:methods*; D006801:Humans; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D040641:Quantitative Trait Loci / Q000235:genetics*; D014584:User-Computer Interface