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Dataset Information

Interrogating local population structure for fine mapping in genome-wide association studies.


ABSTRACT:

Motivation

Adjustment for population structure is necessary to avoid bias in genetic association studies of susceptibility variants for complex diseases. Population structure may differ from one genomic region to another due to the variability of individual ancestry associated with migration, random genetic drift or natural selection. Current association methods for correcting population stratification usually involve adjustment of global ancestry between study subjects.

Results

We suggest interrogating local population structure for fine mapping to more accurately locate true casual genes by better adjusting the confounding effect due to local ancestry. By extensive simulations on genome-wide datasets, we show that adjusting global ancestry may lead to false positives when

SUBMITTER: Qin H 

PROVIDER: S-EPMC2982153 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature