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Gene expression meta-analysis of seven candidate gene sets for diabetes traits following a GWAS pathway study

  • Hao Mei
  • , Lianna Li
  • , Michael Griswold
  • , Thomas Mosley

Research output: Contribution to journalArticlepeer-review

Abstract

Seven gene sets were significantly enriched for SNP associations with diabetes, and considered as potential diabetes pathways in a previous meta-analysis of diabetes GWAS. This study aims to examine if these gene sets also have expression associations with diabetes. The analysis was conducted using pooled data from 23 diabetes gene expression studies. Gene associations were examined using linear modeling with an empirical Bayes approach, and pathway associations were investigated by testing enrichment for significant genes. Meta-analyses were performed to investigate gene and pathway associations in all studies and tissue types. The analysis showed that six gene sets and three member genes of ACADSB, RASSF2, and KLF12 had significant associations with diabetes traits. The findings suggest that these gene sets are related to diabetes regulation, and their functions tend to be tissue non-specific.

Original languageEnglish (US)
Article number52
JournalFrontiers in Genetics
Volume9
Issue numberFEB
DOIs
StatePublished - Feb 16 2018
Externally publishedYes

Keywords

  • Association study
  • Diabetes
  • Enrichment analysis
  • GWAS
  • Gene expression
  • Meta-analysis
  • Pathway

ASJC Scopus subject areas

  • Molecular Medicine
  • Genetics
  • Genetics(clinical)

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