Properties of structured association approaches to detecting population stratification

TY - JOUR

T1 - Properties of structured association approaches to detecting population stratification

AU - Purcell, S

AU - Sham, P

PY - 2004

Y1 - 2004

N2 - 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 (C) 2004 S. Karger AG, Basel

AB - 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 (C) 2004 S. Karger AG, Basel

U2 - 10.1159/000083030

DO - 10.1159/000083030

M3 - Article

VL - 58

SP - 93

EP - 107

JO - Human Heredity

JF - Human Heredity

IS - 2

ER -