Article

Window Size or Model Choice? Quantifying the Impact of GWAS Methods on QTN Detection in Maize

2025-04-03

Abstract excerpt

Every organism exhibits slight differences in DNA sequences among individuals of the same species, making each one unique. These variations, known as genetic variants, can influence phenotypic traits or susceptibility to diseases. Some genetic variations may provide advantages, such as resistance to pathogens, while others can have detrimental effects, leading to disease. Genome-wide association studies (GWAS) ide...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ce0754e1-e09a-5e7b-b719-ccb60260a82b
DOI: 10.20944/preprints202504.0254.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Window Size or Model Choice? Quantifying the Impact of GWAS Methods on QTN Detection in MaizeDOI 10.20944/preprints202504.0254.v1Read

COMPILE: a GWAS computational pipeline for gene discovery in complex genomes.Semantic proximity Read

Genic and nongenic contributions to natural variation of quantitative traits in maize.Semantic proximity Read

GWAS-Based Mining of Candidate Genes for Low-Nitrogen Tolerance in Maize.Semantic proximity Read

Integration of GWAS models and GS reveals the genetic architecture of ear shank in maize.Semantic proximity Read

Hierarchical Generalized Linear Mixed Model for Genome-wide Association AnalysisSemantic proximity Read

A multi-trait multi-locus stepwise approach for conducting GWAS on correlated traits.Semantic proximity Read

Genome-Wide Association Study and Prediction of Tassel Weight of Tropical Maize Germplasm in Multi-Parent Population.Semantic proximity Read

Dual-Model GWAS Analysis and Genomic Selection of Maize Flowering Time-Related Traits.Semantic proximity Read

cis-Regulatory variation affecting gene expression contributes to the improvement of maize kernel size.Semantic proximity Read

Empirical Comparisons of Different Statistical Models To Identify and Validate Kernel Row Number-Associated Variants from Structured Multi-parent Mapping Populations of Maize.Semantic proximity Read

A fast-linear mixed model for genome-wide haplotype association analysis: application to agronomic traits in maize.Semantic proximity Read

Development of highly polymorphic SNP markers from the complexity reduced portion of maize [Zea mays L.] genome for use in marker-assisted breeding.Semantic proximity Read