Sentence examples for marginal genetic effects from inspiring English sources

In this model, the SNPs with large marginal genetic effects are assumed to have large interactive genetic effects.

Second, genome-wide single-locus association tests were carried out to detect marginal genetic effects of YOH.

Multiple rare mutations, each with a minor marginal genetic effect, but collectively may make large contributions in the population.

For example, in the absence of main effects (which is not the same as assuming no marginal effect and plausibly consistent with modest marginal genetic or environmental effects), the BPC3 has 89% power to detect an interaction effect of 1.2 assuming an allele frequency of 20% and an environmental exposure with a prevalence of 20%.

G × E research aims to identify non-marginal genetic and environmental effects, that is, effects of a specific genetic (or environmental) risk factor that does not act in the population as a whole when averaging over all other variables but only act conditional on an environmental (or genetic) variable.

In conclusion, our investigations of dyslexia loci provide some marginal evidence for the existence of shared genetic effects across SLI and dyslexia, particularly for variants in KIAA0319.

We used the following terminology to report the results of the genetic effects related to the gene marginal (pmain), the gene environment (pint), and the joint (pjoint) effects referring to their respective null hypothesis of gene marginal (βmain = 0), the gene environment (βint = 0), and the joint (βmain = 0 and βint = 0) effects.

Differences in allele frequencies at interacting loci might influence the marginal effects of QTL and even lead to genetic effects that change direction depending on the allele frequency at the loci with which it interacts.

An orthogonal common factor structure is used to model genetic effects under Gaussian assumption, so that the marginal likelihood is multivariate normal with a structured genetic (co variance matrix.

Unlike tests for marginal genetic association, set-based tests for gene-environment interaction face the challenges of a potentially misspecified and high-dimensional main effect model under the null hypothesis.

The genetic effects continue down through the generations.