Extremely low-coverage whole genome sequencing in South Asians captures population genomics information.

ABSTRACT:

Background

The cost of Whole Genome Sequencing (WGS) has decreased tremendously in recent years due to advances in next-generation sequencing technologies. Nevertheless, the cost of carrying out large-scale cohort studies using WGS is still daunting. Past simulation studies with coverage at ~2x have shown promise for using low coverage WGS in studies focused on variant discovery, association study replications, and population genomics characterization. However, the performance of low coverage WGS in populations with a complex history and no reference panel remains to be determined.

Results

South Indian populations are known to have a complex population structure and are an example of a major population group that lacks adequate reference panels. To test the performance of ex

SUBMITTER: Rustagi N 

PROVIDER: S-EPMC5440948 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature