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Differences for serum biomarker levels between genotypes were explored using general linear models (GLM) for repeated measures in a longitudinal analysis over the three time points by means of SPSS 15.0 (SPSS Inc., Chicago, IL).
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Basal level differences between the resistant and susceptible genotypes were explored by comparing uninoculated CO441 and CO354 control samples (Cluster I, Figure 1B).
Potential interactions between maternal urinary DAP concentrations (log-transformed continuous variables) and PON1 genotypes were explored by adding interaction terms.
The presence of 3 genotypes were explored, namely HPV genotypes 16, 18 and 33.
The level of polymorphism between the two genotypes was explored using the Barley1 GeneChip for single feature polymorphisms (SFPs) and an oligonucleotide pool assay for single nucleotide polymorphisms (SNPs).
Differences between centres were explored.
Interactions between predictors were explored.
Differences in efficacy between treatments were explored.
The evolutionary properties of the four-locus genotype-phenotype map were explored using computer simulations.
In addition, associations among sleep quality, BDNF genotype, and gene expression were explored in the participants.
Potential associations were explored between MMP genotype and phenotypic tumour characteristics such as tumour stage, differentiation, TMN resection status, mucinous phenotype, lymphatic, vascular, or perineural invasion.
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