Clustering by genetic ancestry using genome-wide SNP data.

ABSTRACT:

Background

Population stratification can cause spurious associations in a genome-wide association study (GWAS), and occurs when differences in allele frequencies of single nucleotide polymorphisms (SNPs) are due to ancestral differences between cases and controls rather than the trait of interest. Principal components analysis (PCA) is the established approach to detect population substructure using genome-wide data and to adjust the genetic association for stratification by including the top principal components in the analysis. An alternative solution is genetic matching of cases and controls that requires, however, well defined population strata for appropriate selection of cases and controls.

Results

We developed a novel algorithm to cluster individuals into groups with

SUBMITTER: Solovieff N 

PROVIDER: S-EPMC3018397 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature