Sentence examples for main gene effects from inspiring English sources

No main gene effects were observed for the remaining polymorphisms.

Finally, analyses should focus on main gene effects and gene gene interactions investigated only if the sample size is reasonably large.

Table 4 lists the main gene effects for maternal/infant HFE H63 D and TF P570 S upon infant birthweight.

Chatterjee, et al. [ 80] developed a maximum score based testing procedure for main gene effects in the presence of possible gene and environment interaction using parametric models.

The absence of these main gene effects is in line with previous studies that suggested that genetic predispositions are most likely to increase the development of dependence if specific environmental factors are present [ 43, 44].

Strengths of our study include a population-based design, large sample size with adequate power to detect main gene effect and gene-smoking interaction effect, integrative analysis with gene expression data, and a systematic approach in evaluating the joint effects of multiple SNPs.

GWAS studies have primarily focused on detecting the main gene effect by fitting the traditional logistic main effect model for each SNP Gj separately as (2) logit p = β 0 + β 1 G j + β 2 E + β 4 X, where X is a vector of covariates and often also includes a few principal components to control for population stratification [ 96].

Second, we found a main gene effect of 5-HTTLPR on child behavior at age 12. Since the finding of an interaction between 5-HTTLPR and stressful life events [ 17], focus of research has shifted to gene-by-environment interaction effects.

The aim of this study was to explore both the main gene and the interactive effects between variants in the iron regulatory protein gene HFE (C282Y and H63D), the iron transport protein gene TF (P570S), and biomarkers of neonatal lead exposure on infant birth weight.

Surprisingly, not only did we observed a main primary gene dosage effect (23 three-copy genes genes out of 32) but we also identified for the first time a deletion in the Ts1Cje mice (see below).

The plaid model [ 5] introduces a statistical model assuming that the expression value in a bicluster is the sum of the main effect, the gene effect, the condition effect, and the noise term, i.e.: y i j = μ + α i + β j + ε i j, where noise ε ij ~ N 0, σ).