Soft truncation thresholding for gene set analysis of RNA-seq data: Application to a vaccine study

Brooke L. Fridley, Gregory D. Jenkins, Diane E. Grill, Richard B Kennedy, Gregory A. Poland, Ann L Oberg

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Gene set analysis (GSA) has been used for analysis of microarray data to aid the interpretation and to increase statistical power. With the advent of next-generation sequencing, the use of GSA is even more relevant, as studies are often conducted on a small number of samples. We propose the use of soft truncation thresholding and the Gamma Method (GM) to determine significant gene set (GS), where a generalized linear model is used to assess per-gene significance. The approach was compared to other methods using an extensive simulation study and RNA-seq data from smallpox vaccine study. The GM was found to outperform other proposed methods. Application of the GM to the smallpox vaccine study found the GSs to be moderately associated with response, including focal adhesion (p = 0.04) and extracellular matrix receptor interaction (p = 0.05). The application of GSA to RNA-seq data will provide new insights into the genomic basis of complex traits.

Original languageEnglish (US)
Article number2898
JournalScientific Reports
Volume3
DOIs
StatePublished - 2013

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Vaccines
RNA
Smallpox Vaccine
Genes
Focal Adhesions
Microarray Analysis
Linear Models

ASJC Scopus subject areas

  • General

Cite this

Soft truncation thresholding for gene set analysis of RNA-seq data : Application to a vaccine study. / Fridley, Brooke L.; Jenkins, Gregory D.; Grill, Diane E.; Kennedy, Richard B; Poland, Gregory A.; Oberg, Ann L.

In: Scientific Reports, Vol. 3, 2898, 2013.

Research output: Contribution to journalArticle

Fridley, Brooke L. ; Jenkins, Gregory D. ; Grill, Diane E. ; Kennedy, Richard B ; Poland, Gregory A. ; Oberg, Ann L. / Soft truncation thresholding for gene set analysis of RNA-seq data : Application to a vaccine study. In: Scientific Reports. 2013 ; Vol. 3.
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