Misexpression of inactive genes in whole blood is associated with nearby rare structural variants

Thomas Vanderstichele, Katie L. Burnham, Niek de Klein, Manuel Tardaguila, Brittany Howell, Klaudia Walter, Kousik Kundu, Jonas Koeppel, Wanseon Lee, Alex Tokolyi, Elodie Persyn, Artika P. Nath, Jonathan Marten, Slavé Petrovski, David J. Roberts, Emanuele Di Angelantonio, John Danesh, Alix Berton, Adam Platt, Adam S. ButterworthNicole Soranzo, Leopold Parts, Michael Inouye, Dirk S. Paul, Emma E. Davenport*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Gene misexpression is the aberrant transcription of a gene in a context where it is usually inactive. Despite its known pathological consequences in specific rare diseases, we have a limited understanding of its wider prevalence and mechanisms in humans. To address this, we analyzed gene misexpression in 4,568 whole-blood bulk RNA sequencing samples from INTERVAL study blood donors. We found that while individual misexpression events occur rarely, in aggregate they were found in almost all samples and a third of inactive protein-coding genes. Using 2,821 paired whole-genome and RNA sequencing samples, we identified that misexpression events are enriched in cis for rare structural variants. We established putative mechanisms through which a subset of SVs lead to gene misexpression, including transcriptional readthrough, transcript fusions, and gene inversion. Overall, we develop misexpression as a type of transcriptomic outlier analysis and extend our understanding of the variety of mechanisms by which genetic variants can influence gene expression.

Original languageEnglish
Pages (from-to)1524-1543
Number of pages20
JournalAmerican Journal of Human Genetics
Volume111
Issue number8
DOIs
Publication statusPublished - 8 Aug 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 The Authors

Keywords

  • aberrant expression
  • ectopic expression
  • misexpression
  • structural variants
  • transcript fusion
  • transcriptional readthrough
  • transcriptomic outlier

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