Skip to main content

A vast resource of allelic expression data spanning human tissues

Author(s): Castel, Stephane E; Aguet, François; Mohammadi, Pejman; GTEx Consortium; Ardlie, Kristin G; et al

To refer to this page use:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCastel, Stephane E-
dc.contributor.authorAguet, François-
dc.contributor.authorMohammadi, Pejman-
dc.contributor.authorGTEx Consortium-
dc.contributor.authorArdlie, Kristin G-
dc.contributor.authorLappalainen, Tuuli-
dc.identifier.citationCastel, Stephane E., François Aguet, Pejman Mohammadi, Kristin G. Ardlie, and Tuuli Lappalainen. "A vast resource of allelic expression data spanning human tissues." Genome Biology 21 (2020). doi:10.1186/s13059-020-02122-zen_US
dc.description.abstractAllele expression (AE) analysis robustly measures cis-regulatory effects. Here, we present and demonstrate the utility of a vast AE resource generated from the GTEx v8 release, containing 15,253 samples spanning 54 human tissues for a total of 431 million measurements of AE at the SNP level and 153 million measurements at the haplotype level. In addition, we develop an extension of our tool phASER that allows effect sizes of cis-regulatory variants to be estimated using haplotype-level AE data. This AE resource is the largest to date, and we are able to make haplotype-level data publicly available. We anticipate that the availability of this resource will enable future studies of regulatory variation across human tissues.en_US
dc.relation.ispartofGenome Biologyen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleA vast resource of allelic expression data spanning human tissuesen_US
dc.typeJournal Articleen_US

Files in This Item:
File Description SizeFormat 
DataTissues.pdf1.01 MBAdobe PDFView/Download

Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.