Properties of Structured Association Approaches to Detecting Population Stratification
- 1 January 2004
- journal article
- Published by S. Karger AG in Human Heredity
- Vol. 58 (2) , 93-107
- https://doi.org/10.1159/000083030
Abstract
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. Copyright © 2004 S. Karger AG.link_to_subscribed_fulltexKeywords
This publication has 18 references indexed in Scilit:
- Assessing the impact of population stratification on genetic association studiesNature Genetics, 2004
- Informativeness of Genetic Markers for Inference of Ancestry*American Journal of Human Genetics, 2003
- Methods to identify population outliers using genetic markersGeneScreen, 2001
- Accounting for Unmeasured Population Substructure in Case-Control Studies of Genetic Association Using a Novel Latent-Class ModelAmerican Journal of Human Genetics, 2001
- The Power of Genomic ControlAmerican Journal of Human Genetics, 2000
- A resolution of the ascertainment sampling problem I. TheoryTheoretical Population Biology, 1986
- Comparing partitionsJournal of Classification, 1985
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974
- Population subdivision with respect to multiple allelesAnnals of Human Genetics, 1969
- THE GENETICAL STRUCTURE OF POPULATIONSAnnals of Eugenics, 1949