title: Identification of important genes associated with total cholesterol using bioinformatics analysis.
abstract: OBJECTIVE
  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.
  
  
  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)).
  
  
  CONCLUSIONS
  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.
authors.affiliation: Jiangsu Key Laboratory of Preventive & Translational Medicine for Geriatric Diseases, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.|Center for Genetic Epidemiology & Genomics, School of Public Health, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.|Department of Epidemiology, School of Public Health, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.
authors.forename: Xing-Bo
authors.initials: XB
authors.lastname: Mo
authors.affiliation: Jiangsu Key Laboratory of Preventive & Translational Medicine for Geriatric Diseases, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.|Department of Epidemiology, School of Public Health, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.
authors.forename: Huan
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Jiangsu Key Laboratory of Preventive & Translational Medicine for Geriatric Diseases, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.|Department of Epidemiology, School of Public Health, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.
authors.forename: Tan
authors.initials: T
authors.lastname: Xu
authors.affiliation: Jiangsu Key Laboratory of Preventive & Translational Medicine for Geriatric Diseases, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.|Center for Genetic Epidemiology & Genomics, School of Public Health, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.|Department of Epidemiology, School of Public Health, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.
authors.forename: Shu-Feng
authors.initials: SF
authors.lastname: Lei
authors.affiliation: Jiangsu Key Laboratory of Preventive & Translational Medicine for Geriatric Diseases, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.|Department of Epidemiology, School of Public Health, Soochow University, 199 Renai Road, Suzhou, Jiangsu 215123, PR China.
authors.forename: Yong-Hong
authors.initials: YH
authors.lastname: Zhang
mesh_terms: D002784:Cholesterol / Q000097:blood / Q000235:genetics*; D016000:Cluster Analysis; D019295:Computational Biology; D003324:Coronary Artery Disease / Q000097:blood / Q000235:genetics; D030541:Databases, Genetic; D015870:Gene Expression; D056426:Genetic Loci; D055106:Genome-Wide Association Study; D040641:Quantitative Trait Loci
chemical_list: D002784:Cholesterol
keywords: gene-based analysis; genome-wide association study; lipids; protein–protein interaction; total cholesterol