Identifying the genes that affect chronic disease risk can be hampered by multiple factors, including phenotypic complexity, multiple genes with small effects, environmental variability, gene gene interactions, and gene environment interactions.
We also studied and quantified the topological and energetic variability of interaction interfaces, finding a much higher heterogeneity in the context residues than in the consensus binding motifs.
This is consistent with the observed variability of interaction of PhC with the two different sets of tyrosine residues in the crystal structure and suggests that the electrostatic interactions between PhC and the binding site tyrosines are much more susceptible to be maintained, while in a dynamic equilibrium.
There is limited knowledge, however, regarding the underlying biology and the variability of interaction between pathogens and their hosts; this limits the possibility to generalize from experimental datasets.
These authors counter the NRC (2009) recommendation that low-dose linear is the scientifically justified default based on (1) considerations of distributions of inter-individual variability, (2) interaction with background disease processes, and (3) undefined chemical background additivity.
Risk for alcoholism is complex and influenced by both genetic and environmental influences and their interactions: multiple genes, each with small effect, phenotypic complexity and heterogeneity, environmental variability, gene gene interactions, and gene-by-environment interactions (Porjesz and Rangaswamy 2007).
Organismic variables, such as gender, age, hormonal status, genetic variability, and interactions among these factors have been carefully studied [ 1- 3].
Such variability in interactions between CidA and CidB could drive the unrivaled diversity of crossing types in C. pipiens.
They are developed for questions where individual variability, local interactions, and adaptive behavior are essential to get the right answers.
