Skip to main content
eScholarship
Open Access Publications from the University of California

Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies.

  • Author(s): Joo, Jong Wha J
  • Sul, Jae Hoon
  • Han, Buhm
  • Ye, Chun
  • Eskin, Eleazar
  • et al.
Abstract

Expression quantitative trait loci (eQTL) mapping is a tool that can systematically identify genetic variation affecting gene expression. eQTL mapping studies have shown that certain genomic locations, referred to as regulatory hotspots, may affect the expression levels of many genes. Recently, studies have shown that various confounding factors may induce spurious regulatory hotspots. Here, we introduce a novel statistical method that effectively eliminates spurious hotspots while retaining genuine hotspots. Applied to simulated and real datasets, we validate that our method achieves greater sensitivity while retaining low false discovery rates compared to previous methods.

Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.

Main Content
Current View