Identification of important genes associated with total cholesterol using bioinformatics analysis

Pharmacogenomics. 2016 Feb;17(3):219-30. doi: 10.2217/pgs.15.164. Epub 2016 Jan 25.

Abstract

Aim: The aim of this study was to identify related genes for total cholesterol (TC) and evaluate the functional relevance to provide evidences for prioritizing these genes.

Materials & methods: We performed an initial gene-based association study in about 188,578 individuals. Furthermore, we performed bioinformatics analyses to support the identified genes.

Results: A total of 22,098 genes were analyzed for TC levels in gene-based association analysis and 433 of them were found to be significant after Bonferroni correction (p < 2.3 × 10(-6)).

Conclusion: The evidence obtained from the analyses of this study signified the importance of many known genes as well as some novel genes, for example, NR1I2, STARD3 and FN1. The findings might provide more insights into the genetic basis of lipid metabolism.

Keywords: gene-based analysis; genome-wide association study; lipids; protein–protein interaction; total cholesterol.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cholesterol / blood
  • Cholesterol / genetics*
  • Cluster Analysis
  • Computational Biology
  • Coronary Artery Disease / blood
  • Coronary Artery Disease / genetics
  • Databases, Genetic
  • Gene Expression
  • Genetic Loci*
  • Genome-Wide Association Study
  • Quantitative Trait Loci

Substances

  • Cholesterol