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Properties of structured association approaches to detecting population stratification
1Whitehead Institute, Nine Cambridge Center, Cambridge, MA 02129, USA. soyrcekk@pngu.mgh.harvard.edu
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.
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