On the advantage of haplotype analysis in the presence of multiple disease susceptibility alleles

Genet Epidemiol. 2002 Oct;23(3):221-33. doi: 10.1002/gepi.10200.


We investigated the effect of multiple susceptibility alleles at a single disease locus on the statistical power of a likelihood ratio test to detect association between alleles at a marker locus and a disease phenotype in a case-control design. Using simplifying assumptions to obtain the joint frequency distribution of marker and disease locus alleles, we present numerical results that illustrate the impact of historical variation of initial associations between marker alleles and susceptibility alleles on the power of a likelihood ratio test for association. Our results show that an increase in the number of susceptibility alleles produces a decrease in power of the likelihood ratio test. The decrease in power in the presence of multiple susceptibility alleles, however, is less for markers with multiple alleles than for markers with two alleles. We investigate the implications of this observation for tests of association based on haplotypes made up of tightly linked single-nucleotide polymorphisms (SNPs). Our results suggest that an analysis based on haplotypes can be advantageous over an analysis based on individual SNPs in the presence of multiple susceptibility alleles, particularly when linkage disequilibria between SNPs is weak. The results provide motivation for further development of statistical methods based on haplotypes for assessing the potential for association methods to identify and locate complex disease genes.

MeSH terms

  • Alleles*
  • Case-Control Studies
  • Chromosome Mapping / statistics & numerical data
  • Gene Frequency / genetics
  • Genetic Diseases, Inborn / genetics*
  • Genetic Markers / genetics
  • Genetic Predisposition to Disease / genetics*
  • Genetic Testing / statistics & numerical data
  • Haplotypes / genetics*
  • Humans
  • Likelihood Functions
  • Linkage Disequilibrium / genetics
  • Polymorphism, Single Nucleotide / genetics
  • Reproducibility of Results
  • Risk Assessment / statistics & numerical data


  • Genetic Markers