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From experiments on an RNA\u2010sequencing (RNA\u2010Seq) data set of HapMap samples, we observed that compared with eQTLs, more eeQTL <jats:italic>trans<\/jats:italic>\u2010factors can be found than <jats:italic>cis<\/jats:italic>\u2010factors, and many of the eeQTLs cannot be found at the gene level. This work highlights that the regulation of exons adds another layer of regulation on gene expression, and that eeQTL analysis is a new approach for investigating genome\u2010wide genomic variations that are involved in the regulation of alternative splicing.<\/jats:p>","DOI":"10.1007\/s40484-014-0031-9","type":"journal-article","created":{"date-parts":[[2014,11,3]],"date-time":"2014-11-03T03:15:11Z","timestamp":1414984511000},"page":"71-79","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Exon expression QTL (eeQTL) analysis highlights distant genomic variations associated with splicing regulation"],"prefix":"10.1002","volume":"2","author":[{"given":"Leying","family":"Guan","sequence":"first","affiliation":[{"name":"<!--1--> MOE Key Laboratory of Bioinformatics and Bioinformatics Division TNLIST Department of Automation Tsinghua University Beijing 100084 China"},{"name":"<!--4--> Department of Physics 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