This model strongly suggests that changes in the expression or subcellular localization of α-catenin may influence disease progression.
High intensities in mixed infections may influence disease epidemiology and control warranting further studies.
Individuals with chronic venous disease (CVeD) frequently experience associated leg pain that may influence disease management self-efficacy.
Polymorphisms in genes encoding immunoregulatory proteins, proinflammatory cytokines, and fibrogenic factors may influence disease progression in patients with alcohol-induced liver disease, primary biliary cirrhosis, or chronic hepatitis C.
Because the consumption of raw cyprinid fish is a well-documented risk factor for liver fluke infection, sharing of risky raw fish dishes may influence disease transmission through a community.
These findings provide tentative evidence that rs715212 and/or linked variants may influence disease progression in early-onset patients by altering the methylation or functionality of ADAMTSL1 and/or the expression of AREG either directly or via regulation of other members of the ADAMTS gene family.
Distinct clinical phenotypes were also examined and an association between a TGFB1 haplotype and a mild disease course was present (p = 0.008), raising the possibility that TGFB1 or a nearby locus may influence disease expression.
Other, as yet unknown susceptibilities may influence disease progression.
There is also a need to investigate links between disease outbreak and other factors that may influence disease outbreak.
The microgeographic approach integrating different sources of information (e.g. genetic, geographic, historic, and social) could be relevant to detect founder effects that may influence disease prevalence.
That the association was strongest with cagA+ H. pylori strains suggests that the more intensive host-interaction of these organisms may influence disease expression.
