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Rather than using a single trait to define subgroups which is currently the dominant method of subgroup analysis the proposed approach estimates the impact of programs on subgroups identified by a post-treatment choice while still maintaining the integrity of the experimental research design.
QTL and their environmental interaction effects for all the traits were first found by the mixed model−based QTL mapping approach using a single trait and multienvironment option implemented in Genstat 12.1 (Payne et al. 2009).
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Heritability was estimated using a single-trait animal model in ASReml [ 16].
Genomic estimated breeding values of Chinese Holstein cattle were predicted using a single-trait GBLUP model based on the Chinese reference dataset, and using a two-trait GBLUP model based on a joint reference dataset that included both the Chinese and Nordic Holstein data.
Figure 1 shows the results for the Q- and N-methods for simulated example 1, using α = 0.05. Figure 1A shows the hotspot architecture computed using a single-trait LOD threshold of 3.65; i.e., at each genomic location the plot shows the number of traits with LOD score >3.65.
We demonstrate the approach by introducing the fungal rubrofusarin polyketide pathway at a gene load of 11 kb distributed on three different plasmids, using a single selection trait and one yeast transformation step.
Following adjustment for false discovery (q-value < 0.05), 479 quantitative trait loci (QTL) were associated with at least one of the four carcass traits using a single SNP regression approach.
Reliabilities expected with larger reference populations and larger marker densities are in Figure 4. Expectations in the graph are for yield traits using a single density, but combined densities instead allow genotypes to be imputed, bringing reliabilities much closer to those possible when all animals are genotyped at highest density.
Our study represents the first example of detecting QTL for growth-related traits by using a single F1 family with large number of offspring on the whole genome in marine foodfish.
Objectives: We assessed the relation between l-ascorbic acid and 10 cardiometabolic traits by using a single nucleotide polymorphism in the solute carrier family 23 member 1 (SLC23A1) gene (rs33972313) associated with circulating l-ascorbic acid concentrations.
This has the added benefit that multiple trait types can be mapped using a single mRNA-Seq data set.
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