Identification of important genes associated with total cholesterol using bioinformatics analysis. (February 2016)

• Record Type: Journal Article
• Authors: Mo, Xing-Bo; Zhang, Huan; Xu, Tan; Lei, Shu-Feng; Zhang, Yong-Hong
• Is Part Of: Pharmacogenomics. Volume 17:Number 3(2016)
• Page Start: 219
• Page End: 230
• Publication Date: 2016-02
• Subjects: gene-based analysis -- genome-wide association study -- lipids -- protein–protein interaction -- total cholesterol; Pharmacogenomics -- Periodicals; 615.1
• DOI: 10.2217/pgs.15.164
• Languages: English
• ISSNs: 1462-2416

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.