Assessing the impact of global versus local ancestry in association studies.

ABSTRACT:

Background

To account for population stratification in association studies, principal-components analysis is often performed on single-nucleotide polymorphisms (SNPs) across the genome. Here, we use Framingham Heart Study (FHS) Genetic Analysis Workshop 16 data to compare the performance of local ancestry adjustment for population stratification based on principal components (PCs) estimated from SNPs in a local chromosomal region with global ancestry adjustment based on PCs estimated from genome-wide SNPs.

Methods

Standardized height residuals from unrelated adults from the FHS Offspring Cohort were averaged from longitudinal data. PCs of SNP genotype data were calculated to represent individual's ancestry either 1) globally using all SNPs across the genome or 2) locally usi

SUBMITTER: Kang SJ 

PROVIDER: S-EPMC2795878 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature