Sentence examples for between markers and quantitative from inspiring English sources
One assumption is the existence of population-wide linkage disequilibrium (LD) between markers and quantitative trait loci (QTL).
Genomic prediction uses two sources of information: linkage disequilibrium between markers and quantitative trait loci, and additive genetic relationships between individuals.
These results suggest that the linkage disequilibrium (LD) between markers and quantitative trait loci (QTL) was different in the validation population compared to the reference or training population.
Effective MAS requires high linkage disequilibrium (LD) between markers and quantitative trait loci (QTL), and sustained marker-QTL LD over generations.
Effective MAS requires high linkage disequilibrium (LD) between markers and quantitative trail loci (QTL) and sustained marker-QTL LD over generations.
Population genomic studies that search for associations between markers and quantitative traits require a large number of genetic markers [ 1, 2], often using hybridization approaches based on dense panels of SNP markers that cover the genome.
For example, even if the same quantitative trait loci is segregating in both populations, different allele frequencies of either the marker or causative mutation, or different linkage phases between marker and quantitative trait loci, can lead to different results.
The resulting marker-based or genomic estimated breeding values (GEBV) exploit associations between markers and QTL (Quantitative Trait Loci) through linkage disequilibrium (LD) and linkage, along with the capture of pedigree relationships between animals [ 4].
As noted at the onset of this document, among many other accomplishments, he pioneered marker-assisted selection in animal and plants via exploitation of linkage and LD relationships between markers and unknown quantitative trait loci.
Each method leans more or less on a priori assumptions about the genetic architecture of the trait and the linkage disequilibrium (LD) between markers and the quantitative trait loci (QTL) [ 2].
Accuracy of genomic prediction depends largely on the linkage disequilibrium (LD) between markers and QTL (quantitative trait loci) and the number of animals in the reference population [ 2, 3].
