Comparative methods for association studies: a case study on metabolite variation in a Brassica rapa core collection.

ABSTRACT:

Background

Association mapping is a statistical approach combining phenotypic traits and genetic diversity in natural populations with the goal of correlating the variation present at phenotypic and allelic levels. It is essential to separate the true effect of genetic variation from other confounding factors, such as adaptation to different uses and geographical locations. The rapid availability of large datasets makes it necessary to explore statistical methods that can be computationally less intensive and more flexible for data exploration.

Methodology/principal findings

A core collection of 168 Brassica rapa accessions of different morphotypes and origins was explored to find genetic association between markers and metabolites: tocopherols, carotenoids, chlorophylls and

SUBMITTER: Pino Del Carpio D 

PROVIDER: S-EPMC3094343 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature