title: [Detection for gene-based gene-gene interaction via kernel canonical correlation analysis].
abstract: OBJECTIVE
  To detect the gene-based gene-gene interaction by kernel canonical correlation analysis.
  
  
  METHODS
  Based on case-control study, statistical simulation studies were conducted to construct and test the KCCU statistic to evaluate gene-based gene-gene interaction of gene FTO and gene PRDMl6 by kernel canonical correlation analysis.
  
  
  RESULTS
  The power of KCCU statistic was related to significant level, sample size, minor allele frequency, and it was higher when the gene-gene interaction increased. The power arrived 0.8 at the significant level of 0.05 when the minor allele frequency was higher than 0.05, the interaction odds ratio was higher than 1.5, and the sample size was greater than 5000.
  
  
  CONCLUSIONS
  KCCU statistic is a valid and powerful statistical inference method for detecting gene-based gene-gene interaction in the large sample analysis with high interaction.
authors.forename: Fangfang
authors.initials: F
authors.lastname: Zhan
authors.forename: Li
authors.initials: L
authors.lastname: Liu
authors.forename: Zhiguang
authors.initials: Z
authors.lastname: Ping
authors.forename: Minjie
authors.initials: M
authors.lastname: Qi
authors.forename: Ming
authors.initials: M
authors.lastname: Lu
mesh_terms: D016022:Case-Control Studies; D005787:Gene Frequency; D005796:Genes / Q000235:genetics*; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D016017:Odds Ratio