PSReliP: an integrated pipeline for analysis and visualization of population structure and relatedness based on genome-wide genetic variant data.

ABSTRACT:

Background

Population structure and cryptic relatedness between individuals (samples) are two major factors affecting false positives in genome-wide association studies (GWAS). In addition, population stratification and genetic relatedness in genomic selection in animal and plant breeding can affect prediction accuracy. The methods commonly used for solving these problems are principal component analysis (to adjust for population stratification) and marker-based kinship estimates (to correct for the confounding effects of genetic relatedness). Currently, many tools and software are available that analyze genetic variation among individuals to determine population structure and genetic relationships. However, none of these tools or pipelines perform such analyses in a single workflo

SUBMITTER: Solovieva E 

PROVIDER: S-EPMC10074814 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature