title: A triple combination strategy corrects population stratification bias and saves genotyping cost.
abstract: OBJECTIVE
  The case-control association study has gained popularity for mapping disease-susceptibility gene(s) of complex human diseases. However, the study is prone to population stratification bias.
  
  
  METHODS
  The authors proposed a triple combination strategy of stratum matching, genomic control, and multiple DNA pooling for population-based case-control association studies. Monte Carlo simulation showed that the type I error rates are well controlled using this strategy.
  
  
  RESULTS
  As for power, it increases under the following situations: (1) more accurate stratum matching, (2) more null markers for genomic control, (3) more DNA pooling sets, and (4) more accurate DNA pooling measurement.
  
  
  CONCLUSIONS
  The triple combination strategy corrects population stratification bias and saves genotyping cost.
authors.affiliation: Research Center for Genes, Environment and Human Health, and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan.
authors.forename: Hsiao-Yuan
authors.initials: HY
authors.lastname: Huang
authors.forename: Wen-Chung
authors.initials: WC
authors.lastname: Lee
mesh_terms: D016022:Case-Control Studies; D003362:Cost-Benefit Analysis; D005260:Female; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D055106:Genome-Wide Association Study / Q000191:economics / Q000379:methods*; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium / Q000235:genetics*; D008297:Male; D015983:Selection Bias