Relationships among traits were investigated on the genomic and residual levels using
novel methodology. This included inference on these relationships via Bayesian networks …

Abstract Background Genome-Wide Association Studies (GWAS) are used to identify genes
and alleles that contribute to quantitative traits in large and genetically diverse populations …

Increasing popularity of high-throughput phenotyping technologies, such as image-based
phenotyping, offer novel ways for quantifying plant growth and morphology. These new …

Genome-wide association studies (GWAS) is one of the most popular methods of studying
the genetic control of traits. This methodology has been intensely performed on inbred …

The key to complex trait dissection is to bridge molecular diversity with functional diversity
found in the germplasm under study. Linkage analysis and association studies are two …

Association analysis is a new approach to identify the location of gene (s)/allele (s) of
interest. There are a number of factors determining the feasibility of whole-genome …

Advances in next generation sequencing technologies and statistical approaches enable
genome-wide dissection of phenotypic traits via genome-wide association studies (GWAS) …

We investigated the genetic and statistical properties of the nested association mapping
(NAM) design currently being implemented in maize (26 diverse founders and 5000 distinct …

As population structure can result in spurious associations, it has constrained the use of
association studies in human and plant genetics. Association mapping, however, holds …

Genome-wide association studies of complex traits often are complicated by relatedness
among individuals. Ignoring or inappropriately accounting for relatedness often results in …