Properties of structured association approaches to detecting population stratification

Hum Hered. 2004;58(2):93-107. doi: 10.1159/000083030.


Objective: To examine the properties of the structured association approach for the detection and correction of population stratification.

Method: A method is developed, within a latent class analysis framework, similar to the methods proposed by Satten et al. (2001) and Pritchard et al. (2000). A series of simulations illustrate the relative impact of number and type of loci, sample size and population structure.

Results: The ability to detect stratification and assign individuals to population strata is determined for a number of different scenarios.

Conclusion: The results underline the importance of careful marker selection.

MeSH terms

  • Algorithms
  • Computer Simulation
  • Data Interpretation, Statistical
  • Gene Frequency
  • Genetics, Population / statistics & numerical data*
  • Humans
  • Linkage Disequilibrium