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The haplotype and single marker analyzes gave similar results, i.e. there were no significant haplotype association with neither phenotype (p > 0.106, data not shown).
Following the same discussion, it is therefore unknown whether the expected effect size of interactions will be substantially larger than previously found in the single marker analyzes or whether the effect size will only be marginally larger.
Similar(58)
In our primary analysis, we tested the clinical validity of these molecular alterations as single markers, analyzed as binary factor.
Haplotype analyses further supported the results of single marker analyses.
All individual markers analyzed as dichotomous variables.
While earlier pedigree-based methods are limited to the analysis of single markers, ours analyzes associations among multiple markers.
In analyzing single marker, the best performing model was selected and one million generation was considered with a sample frequency of 1000 and four parallel chains.
KW analysis, a single marker analysis, was also analyzed based on one way ANOVA.
The association between these polymorphisms and their haplotypes with chicken growth and fatness traits were analyzed using both single marker and haplotype analysis.
a Markers SLC6a and SLC6b are in perfect LD and thus are analyzed as a single marker (SLC6a/b).
b Markers SLC6a and SLC6b are in perfect LD and thus are analyzed as a single marker (SLC6a/b).
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