Genome‐wide association studies (GWAS) have developed into a powerful and ubiquitous
tool for the investigation of complex traits. In large part, this was fueled by advances in …

Dissecting the genetic architecture of complex traits is an ongoing challenge for geneticists.
Two complementary approaches for genetic mapping, linkage mapping and association …

Although genome-wide association studies are widely used to mine genes for quantitative
traits, the effects to be estimated are confounded, and the methodologies for detecting …

Abstract Brassica napus (2 n= 4 x= 38, AACC) is an important allopolyploid crop derived
from interspecific crosses between Brassica rapa (2 n= 2 x= 20, AA) and Brassica oleracea …

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 …

The mixed linear model has been widely used in genome-wide association studies (GWAS),
but its application to multi-locus GWAS analysis has not been explored and assessed. Here …

In most existing methods and softwares of genome-wide association studies (GWAS) for
detecting quantitative trait nucleotides (QTNs), QTN-by-environment interactions (QEIs), and …

Previous studies have reported that some important loci are missed in single-locus genome-
wide association studies (GWAS), especially because of the large phenotypic error in field …

Genome-wide association study (GWAS) entails examining a large number of single
nucleotide polymorphisms (SNPs) in a limited sample with hundreds of individuals, implying …

Multilocus genome-wide association studies (GWAS) have become the state-of-the-art
procedure to identify quantitative trait nucleotides (QTNs) associated with complex traits …