Extensive QTL and association analyses of the QTLMAS2009 Data.

ABSTRACT:

Background

We applied a range of genome-wide association (GWA) methods to map quantitative trait loci (QTL) in the simulated dataset provided by the QTLMAS2009 workshop to derive a comprehensive set of results. A Gompertz curve was modelled on the yield data and showed good predictive properties. QTL analyses were done on the raw measurements and on the individual parameters of the Gompertz curve and its predicted growth for each interval. Half-sib and variance component linkage analysis revealed QTL with different modes of inheritance but with low resolution. This was complemented by association studies using single markers or haplotypes, and additive, dominance, parent-of-origin and epistatic QTL effects. All association analyses were done on phenotypes pre-corrected for pedigree

SUBMITTER: Hadjipavlou G 

PROVIDER: S-EPMC2857842 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature