A vast resource of allelic expression data spanning human tissues

Medientyp: E-Artikel
Titel: A vast resource of allelic expression data spanning human tissues
Beteiligte: Castel, Stephane E.; Aguet, François; Mohammadi, Pejman; Aguet, François; Anand, Shankara; Ardlie, Kristin G.; Gabriel, Stacey; Getz, Gad A.; Graubert, Aaron; Hadley, Kane; Handsaker, Robert E.; Huang, Katherine H.; Kashin, Seva; Li, Xiao; MacArthur, Daniel G.; Meier, Samuel R.; Nedzel, Jared L.; Nguyen, Duyen T.; Segrè, Ayellet V.; Todres, Ellen; Aguet, François; Anand, Shankara; Ardlie, Kristin G.; Balliu, Brunilda; [...]
Erschienen: Springer Science and Business Media LLC, 2020
Erschienen in: Genome Biology
Sprache: Englisch
DOI: 10.1186/s13059-020-02122-z
ISSN: 1474-760X
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Beschreibung: <jats:title>Abstract</jats:title><jats:p>Allele expression (AE) analysis robustly measures <jats:italic>cis</jats:italic>-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 <jats:italic>cis</jats:italic>-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.</jats:p>
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