In this study we have investigated how genetic interactions may affect the MANOVA analysis procedure, provided a deeper understanding of how these interactions may affect dose-response data, and presented a novel Bayesian nonparametric analysis technique.
A larger BMI may affect dosing and volume of distribution for drugs with a potential for nephrotoxicity[ 33].
The increasing prevalence of imipenem resistance may also affect dosing requirements.
Although therapeutic indications may significantly affect dosing in older children, such variation is not generally expected in neonates.
Once allergenic proteins or peptides are ingested by a sensitized individual, several factors related to digestion may affect the dose available to be absorbed, and thus become important in determining the likelihood of reaction.
In this regard, a given LOH event may affect distinct doses of transcription between diffuse- and intestinal-type gastric cancers that establish distinct gene expression patterns.
These differences might affect dose adjustment between the two subpopulations.
However, the oversimplified genotyping method was shown to cause overestimation of daily warfarin dose [ 11], which proved that each of H7, H8, and H9 may affect the warfarin dose differently, even though three of the haplotypes were classified under the same "high warfarin dose" group [ 9].
This shows that mixtures of mequindox and L. plantarum ZJ316 may affect the effective dose of L. plantarum ZJ316.
Our meta-analysis provides robust and unambiguous evidence that EPHX1 rs2292566 polymorphism may affect the maintenance dose of warfarin in Caucasians.
In conclusion, our meta-analysis provides robust and unambiguous evidence that EPHX1 rs2292566 G>A polymorphism may affect the maintenance dose of warfarin in Caucasians, so EPHX1 rs2292566 G>A polymorphism could be a potential and practical biomarker for the interindividual variability of warfarin maintenance dose.
