PopCluster: an algorithm to identify genetic variants with ethnicity-dependent effects.

ABSTRACT:

Motivation

Over the last decade, more diverse populations have been included in genome-wide association studies. If a genetic variant has a varying effect on a phenotype in different populations, genome-wide association studies applied to a dataset as a whole may not pinpoint such differences. It is especially important to be able to identify population-specific effects of genetic variants in studies that would eventually lead to development of diagnostic tests or drug discovery.

Results

In this paper, we propose PopCluster: an algorithm to automatically discover subsets of individuals in which the genetic effects of a variant are statistically different. PopCluster provides a simple framework to directly analyze genotype data without prior knowledge of subjects' ethnicities

SUBMITTER: Gurinovich A 

PROVIDER: S-EPMC6735784 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature