Population substructure is a well-known confounder in population-based case-control genetic studies, but its impact in family-based studies is unclear. We performed population substructure analysis using extended families of admixed population to evaluate power and Type I error in an association study framework. Our analysis shows that power was improved by 1.5% after principal components adjustment. Type I error was also reduced by 2.2% after adjusting for family substratification. The presence of population substructure was underscored by discriminant analysis, in which over 92% of individuals were correctly assigned to their actual family using only 100 principal components. This study demonstrates the importance of adjusting for populat...
Selection of cases with additional affected relatives has been shown to increase the power of the ca...
Large-scale genotyping of SNPs has shown a great promise in identifying markers that could be linked...
1 Large, population-based samples and large-scale genotyping are being used to evaluate disease/gene...
Population substructure is a well-known confounder in population-based case-control genetic studies,...
Background: Estimating relationships among subjects in a sample, within family structures or caused ...
Although association analysis is a useful tool for uncovering the genetic underpinnings of complex t...
Population stratification can cause spurious associations in population-based association studies. S...
2012-08-01Association studies among admixed populations pose many challenges. The purpose of this st...
We propose a novel latent-class approach to detect and account for population stratification in a ca...
The use, in association studies, of the forthcoming dense genomewide collection of single-nucleotide...
To avoid inflated type I error and reduced power in genetic association studies, it is necessary to ...
Population structure is known to cause false-positive detection in association studies. We compared ...
Large numbers of control individuals with genome-wide genotype data are now available through variou...
Population stratification is always a concern in association analysis. There is a debate on the exte...
Association studies using unrelated individuals have become the most popular design for mapping comp...
Selection of cases with additional affected relatives has been shown to increase the power of the ca...
Large-scale genotyping of SNPs has shown a great promise in identifying markers that could be linked...
1 Large, population-based samples and large-scale genotyping are being used to evaluate disease/gene...
Population substructure is a well-known confounder in population-based case-control genetic studies,...
Background: Estimating relationships among subjects in a sample, within family structures or caused ...
Although association analysis is a useful tool for uncovering the genetic underpinnings of complex t...
Population stratification can cause spurious associations in population-based association studies. S...
2012-08-01Association studies among admixed populations pose many challenges. The purpose of this st...
We propose a novel latent-class approach to detect and account for population stratification in a ca...
The use, in association studies, of the forthcoming dense genomewide collection of single-nucleotide...
To avoid inflated type I error and reduced power in genetic association studies, it is necessary to ...
Population structure is known to cause false-positive detection in association studies. We compared ...
Large numbers of control individuals with genome-wide genotype data are now available through variou...
Population stratification is always a concern in association analysis. There is a debate on the exte...
Association studies using unrelated individuals have become the most popular design for mapping comp...
Selection of cases with additional affected relatives has been shown to increase the power of the ca...
Large-scale genotyping of SNPs has shown a great promise in identifying markers that could be linked...
1 Large, population-based samples and large-scale genotyping are being used to evaluate disease/gene...