ABSTRACT A typical plant genome-wide association study (GWAS) uses a mixed linear
model (MLM) that includes a trait as the response variable, a marker as an explanatory …

A typical plant genome-wide association study (GWAS) uses a mixed linear model (MLM)
that includes a trait as the response variable, a marker as an explanatory variable, and fixed …

Genome-wide association mapping using dense marker sets has identified some nucleotide
variants affecting complex traits that have been validated with fine-mapping and functional …

Complex trait dissection through association mapping provides a powerful complement to
traditional linkage analysis. The genetic structure of an association mapping panel can be …

Modern improvement of complex traits in agricultural species relies on successful
associations of heritable molecular variation with observable phenotypes. Historically, this …

Standard genome-wide association studies (GWAS) scan for relationships between each of
p molecular markers and a continuously distributed target trait. Typically, a marker-based …

I would like to thank the authors of Mueller et al.(2011) for their valuable contribution to the
area of genome-wide association mapping. In their paper, they present a strategy for …

Quantitative trait locus (QTL) mapping has been used to dissect the genetic architecture of
complex traits and predict phenotypes for marker-assisted selection. Many QTL mapping …

Association mapping (AM) is a powerful tool for fine mapping complex trait variation down to
nucleotide sequences by exploiting historical recombination events. A major problem in AM …

Genome-wide association studies (GWAS) may benefit from utilizing haplotype information
for making marker-phenotype associations. Several rationales for grouping single …