The Use of Targeted Marker Subsets to Account for Population Structure and Relatedness in Genome-Wide Association Studies of Maize (Zea mays L.)
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 …
that includes a trait as the response variable, a marker as an explanatory variable, and fixed …
Enhancing genomic prediction with genome-wide association studies in multiparental maize populations
Y Bian, JB Holland - Heredity, 2017 - nature.com
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 …
variants affecting complex traits that have been validated with fine-mapping and functional …
Simulation appraisal of the adequacy of number of background markers for relationship estimation in association mapping
Complex trait dissection through association mapping provides a powerful complement to
traditional linkage analysis. The genetic structure of an association mapping panel can be …
traditional linkage analysis. The genetic structure of an association mapping panel can be …
Genome-Wide Association Studies with a Genomic Relationship Matrix: A Case Study with Wheat and Arabidopsis
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 …
p molecular markers and a continuously distributed target trait. Typically, a marker-based …
Transcriptome-Wide Association Supplements Genome-Wide Association in Zea mays
KAG Kremling, CH Diepenbrock… - G3: Genes …, 2019 - academic.oup.com
Modern improvement of complex traits in agricultural species relies on successful
associations of heritable molecular variation with observable phenotypes. Historically, this …
associations of heritable molecular variation with observable phenotypes. Historically, this …
Optimization of association genetics and genomic selection strategies for populations of different diversity levels: Application in maize (Zea mays L.)
R Rincent - 2014 - pastel.hal.science
Major progresses have been achieved in genotyping technologies, which makes it easier to
decipher the relationship between genotype and phenotype. This contributed to the …
decipher the relationship between genotype and phenotype. This contributed to the …
[PDF][PDF] Comparing Performances of Different Statistical Models and Multiple Thresholds Methods in a Nested Association Mapping Population of Wheat
KS Sandhu, A Burke, LF Merrick… - Frontiers in Plant …, 2024 - frontiersin.org
Connecting phenotypes with genotypes provides a vital tool for crop breeding and
improvement. The most commonly exploited approaches for genetic mapping include …
improvement. The most commonly exploited approaches for genetic mapping include …
Controlling type 1 error rates in genome-wide association studies in plants
AW George - Heredity, 2013 - nature.com
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 …
area of genome-wide association mapping. In their paper, they present a strategy for …
Comparing different statistical models and multiple testing corrections for association mapping in soybean and maize
AS Kaler, JD Gillman, T Beissinger… - Frontiers in plant …, 2020 - frontiersin.org
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 …
nucleotide sequences by exploiting historical recombination events. A major problem in AM …
The relationship between parental genetic or phenotypic divergence and progeny variation in the maize nested association mapping population
HY Hung, C Browne, K Guill, N Coles, M Eller, A Garcia… - Heredity, 2012 - nature.com
Appropriate selection of parents for the development of mapping populations is pivotal to
maximizing the power of quantitative trait loci detection. Trait genotypic variation within a …
maximizing the power of quantitative trait loci detection. Trait genotypic variation within a …