2019
DOI: 10.1101/668087
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Variance heterogeneity genome-wide mapping for cadmium in bread wheat reveals novel genomic loci and epistatic interactions

Abstract: AbstractGenome-wide association mapping identifies quantitative trait loci (QTL) that influence the mean differences between the marker genotypes for a given trait. While most loci influence the mean value of a trait, certain loci, known as variance heterogeneity QTL (vQTL) determine the variability of the trait instead of the mean trait value (mQTL). In the present study, we performed a variance heterogeneity genome-wide association study (vGWAS) for grain cadmium (Cd) concent… Show more

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“…GWAS was conducted in rrBLUP R package (Endelman, 2011) using the linear mixed model described earlier (Dhatt et al, 2021). SNP markers were declared significant using the P-value threshold of -log10(P) > 6.5, based on method of Li and Ji (2005) using effective number of markers (Li and Ji, 2005;Hussain et al, 2020). Manhattan plot and Q-Q plot were created using R package qqman (Turner, 2018).…”
Section: Genome-wide Association Study (Gwas)mentioning
confidence: 99%
“…GWAS was conducted in rrBLUP R package (Endelman, 2011) using the linear mixed model described earlier (Dhatt et al, 2021). SNP markers were declared significant using the P-value threshold of -log10(P) > 6.5, based on method of Li and Ji (2005) using effective number of markers (Li and Ji, 2005;Hussain et al, 2020). Manhattan plot and Q-Q plot were created using R package qqman (Turner, 2018).…”
Section: Genome-wide Association Study (Gwas)mentioning
confidence: 99%