Fast Genome-Wide QTL Association Mapping on Pedigree and Population Data.

ABSTRACT: Since most analysis software for genome-wide association studies (GWAS) currently exploit only unrelated individuals, there is a need for efficient applications that can handle general pedigree data or mixtures of both population and pedigree data. Even datasets thought to consist of only unrelated individuals may include cryptic relationships that can lead to false positives if not discovered and controlled for. In addition, family designs possess compelling advantages. They are better equipped to detect rare variants, control for population stratification, and facilitate the study of parent-of-origin effects. Pedigrees selected for extreme trait values often segregate a single gene with strong effect. Finally, many pedigrees are available as an important legacy from the era of linkage an

SUBMITTER: Zhou H 

PROVIDER: S-EPMC5340631 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature