4.8 Article

GPEdit: the genetic and pharmacogenomic landscape of A-to-I RNA editing in cancers

Journal

NUCLEIC ACIDS RESEARCH
Volume 50, Issue D1, Pages D1231-D1237

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab810

Keywords

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Funding

  1. National Human Genome Research Institute [R01HG011633]
  2. National Institute of Aging [R03AG070417]
  3. National Cancer Instituteof the National Institutes of Health [R01CA262623]
  4. Cancer Prevention Research Institute of Texas (CPRIT) [RR150085, RP190570]
  5. Hamill Undergraduate Summer Research Program at the Texas A&M Institute of Biosciences and Technology [R01HG011633]

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Altered A-to-I RNA editing in human cancers has shown potential in drug sensitivity. Through quantitative trait loci mapping, we identified a large number of edQTLs associated with cancer patient survival, GWAS risk loci, and anti-cancer drug response. Our database GPEdit provides a comprehensive global map for understanding the genetic impact and drug response effects of RNA editing in cancers.
Altered A-to-I RNA editing has been widely observed in many human cancers and some editing sites are associated with drug sensitivity, implicating its therapeutic potential. Increasing evidence has demonstrated that a quantitative trait loci mapping approach is effective to understanding the genetic basis of RNA editing. We systematically performed RNA editing quantitative trait loci (edQTL) analysis in 33 human cancer types for >10 000 cancer samples and identified 320 029 edQTLs. We also identified 1688 ed-QTLs associated with patient overall survival and 4672 ed-QTLs associated with GWAS risk loci. Furthermore, we demonstrated the associations between RNA editing and >1000 anti-cancer drug response with similar to 3.5 million significant associations. We developed GPEdit (https://hanlab.uth.edu/GPEdit/) to facilitate a global map of the genetic and pharmacogenomic landscape of RNA editing. GPEdit is a user-friendly and comprehensive database that provides an opportunity for a better understanding of the genetic impact and the effects on drug response of RNA editing in cancers.

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