title: Logic regression analysis of association of gene polymorphisms with low HDL: Tehran Lipid and Glucose Study.
abstract: BACKGROUND
  Logic regression is a generalized regression method that can recognize complex Boolean interactions of binary variables. It has been successfully applied to single-nucleotide polymorphism (SNP) data because of the importance of interactions in SNP association studies. The objective of this study is to assess the association between high-density lipoprotein (HDL) function and some related gene polymorphisms after adjusting for potential confounders using logic regression.
  
  
  METHODS
  Subjects in this cross-sectional study were randomly selected from among participants of the Tehran Lipid and Glucose Study (TLGS). A total of 436 subjects (172 men and 264 women), aged ≥20 years, were selected to be included in the current study. Logic regression analysis was used in order to recognize the combination of genetic main effects and possible interactions associated with HDL-C level. Cross validation and randomization test were carried out to avoid over fitting of the models.
  
  
  RESULTS
  The cross validation test suggested three Boolean combinations with four predictors for a fully-adjusted logic model. The fully adjusted model showed that those who carry an Apo E gene E3 allele or have high TG level have an odds ratio of 2.35 (95% CI:1.3-4.25) for having low HDL compared to other subjects. In addition, subjects with high TG level have an odds ratio of 2.73 (95% CI: 1.65, 4.53) for having low HDL.
  
  
  CONCLUSIONS
  The results showed that logic regression is a powerful method to find the interaction between high TG level and Apo E polymorphism associated with low HDL.
authors.affiliation: Department of Biostatistics, School of Paramedicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. p.sarbakhsh@gmail.com
authors.forename: Parvin
authors.initials: P
authors.lastname: Sarbakhsh
authors.forename: Yadollah
authors.initials: Y
authors.lastname: Mehrabi
authors.forename: Maryam Sadat
authors.initials: MS
authors.lastname: Daneshpour
authors.forename: Farid
authors.initials: F
authors.lastname: Zayeri
authors.forename: Maryam
authors.initials: M
authors.lastname: Zarkesh
mesh_terms: D064286:ATP Binding Cassette Transporter 1; D018528:ATP-Binding Cassette Transporters / Q000235:genetics; D000328:Adult; D016632:Apolipoprotein A-I / Q000235:genetics; D000072040:Apolipoprotein A-V; D001054:Apolipoproteins A / Q000235:genetics; D001055:Apolipoproteins B / Q000235:genetics; D001057:Apolipoproteins E / Q000235:genetics*; D008076:Cholesterol, HDL / Q000235:genetics; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007492:Iran; D008075:Lipoproteins, HDL / Q000097:blood / Q000235:genetics*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008957:Models, Genetic; D016017:Odds Ratio; D011110:Polymorphism, Genetic; D020641:Polymorphism, Single Nucleotide; D011897:Random Allocation; D051122:Scavenger Receptors, Class B / Q000235:genetics; D014280:Triglycerides / Q000097:blood / Q000235:genetics
chemical_list: C437704:APOA5 protein, human; D064286:ATP Binding Cassette Transporter 1; D018528:ATP-Binding Cassette Transporters; D016632:Apolipoprotein A-I; D000072040:Apolipoprotein A-V; D001054:Apolipoproteins A; D001055:Apolipoproteins B; D001057:Apolipoproteins E; D008076:Cholesterol, HDL; D008075:Lipoproteins, HDL; C495124:SCARB1 protein, human; D051122:Scavenger Receptors, Class B; D014280:Triglycerides