Empirical comparisons of different statistical models to identify and validate kernel row number-associated variants from structured multi-parent mapping populations …

J Yang, CTE Yeh, RK Ramamurthy, X Qi… - G3: Genes …, 2018 - academic.oup.com
Advances in next generation sequencing technologies and statistical approaches enable
genome-wide dissection of phenotypic traits via genome-wide association studies (GWAS) …

[HTML][HTML] Genome wide association studies using a new nonparametric model reveal the genetic architecture of 17 agronomic traits in an enlarged maize association …

N Yang, Y Lu, X Yang, J Huang, Y Zhou, F Ali… - PLoS …, 2014 - journals.plos.org
Association mapping is a powerful approach for dissecting the genetic architecture of
complex quantitative traits using high-density SNP markers in maize. Here, we expanded …

[HTML][HTML] Genetic architecture affecting maize agronomic traits identified by variance heterogeneity association mapping

X Zhang, Y Qi - Genomics, 2021 - Elsevier
Conventional genome-wide association studies (GWAS) focused on the phenotypic mean
differences (mGWAS) but often ignored genetic variants influencing differences in the …

[HTML][HTML] 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 …

Multiple maize reference genomes impact the identification of variants by genome‐wide association study in a diverse inbred panel

JL Gage, B Vaillancourt, JP Hamilton… - The plant …, 2019 - Wiley Online Library
Use of a single reference genome for genome‐wide association studies (GWAS) limits the
gene space represented to that of a single accession. This limitation can complicate …

The Use of Targeted Marker Subsets to Account for Population Structure and Relatedness in Genome-Wide Association Studies of Maize (Zea mays L.)

AH Chen, AE Lipka - G3: Genes, Genomes, Genetics, 2016 - academic.oup.com
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 of agronomic and morphologic traits in highly structured populations of barley cultivars

M Wang, N Jiang, T Jia, L Leach, J Cockram… - Theoretical and Applied …, 2012 - Springer
Genome-wide association study (GWAS) has become an obvious general approach for
studying traits of agricultural importance in higher plants, especially crops. Here, we present …

Extreme‐phenotype genome‐wide association study (XP‐GWAS): a method for identifying trait‐associated variants by sequencing pools of individuals selected from a …

J Yang, H Jiang, CT Yeh, J Yu, JA Jeddeloh… - The Plant …, 2015 - Wiley Online Library
Although approaches for performing genome‐wide association studies (GWAS) are well
developed, conventional GWAS requires high‐density genotyping of large numbers of …

Genetic design and statistical power of nested association mapping in maize

J Yu, JB Holland, MD McMullen, ES Buckler - Genetics, 2008 - academic.oup.com
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 …

Characterization of a global germplasm collection and its potential utilization for analysis of complex quantitative traits in maize

X Yang, S Gao, S Xu, Z Zhang, BM Prasanna, L Li… - Molecular …, 2011 - Springer
Association mapping is a powerful approach for exploring the molecular basis of phenotypic
variations in plants. A maize (Zea mays L.) association mapping panel including 527 inbred …