The enzyme protein farnesyltransferase, which catalyzes the first step in the posttranslational modification of ras and a number of other polypeptides, has emerged as an important target for the development of anticancer agents. SCH66336 is one of the first farnesyltransferase inhibitors to undergo clinical testing. In the present study, we examined the effect of combining SCH66336 with several...

Heterosis is widely used in breeding, but the genetic basis of this biological phenomenon has not been elucidated. We postulate that additive and dominance genetic effects as well as two-locus interactions estimated in classical QTL analyses are not sufficient for quantifying the contributions of QTL to heterosis. A general theoretical framework for determining the contributions of different ty...

Pregnancy rate, calf survival rate to weaning and calf age at weaning of several types of crossbred cows (2/3 or more Brahman) were compared to those of straightbred Brahman and Angus cows over a 1 2 9 period at Subtropical Agricultural Research Station near Brooksville, FL. The purpose of this study was to determine the relative importance of additive vs nonadditive genetic effects on reproduc...

The effect of titanium dioxide as a semiconductive additive and barium titanate as a highly polar additive on the d.c. transient currents in low density polyethylene is investigated. Experiments were made using thick specimens under high electric field ( > 25 x 106 V/m) and constant temperature of 40OC. Results indicate that the incorporation of the foresaid additives has a remarkable effect on...

##An example using dglm.Pvalues(.) with 200 simulated observations set.seed(123) require(dglm) n = 200 a <rbinom(n, 1, 0.5) ##Covariate for additive genetic effects sex <rbinom(n, 1, 0.5) ##Covariate for a non-genetic effect add.effect = 0 sex.effect = 1 res.var = exp( a*add.effect ) ##Residual variance y <10 + a*add.effect + sex*sex.effect + rnorm(n ,0 , sqrt(res.var)) ##The additive genetic e...

We propose a novel spike and slab prior specification with scaled beta prime marginals for the importance parameters of regression coefficients to allow general effect selection within class structured additive distributional regression. This enables us model effects on all arbitrary parametric distributions, consider various types such as non-linear or spatial well hierarchical structures. Our...

In this article, population-based regression models are proposed for high-resolution linkage disequilibrium mapping of quantitative trait loci (QTL). Two regression models, the "genotype effect model" and the "additive effect model," are proposed to model the association between the markers and the trait locus. The marker can be either diallelic or multiallelic. If only one marker is used, the ...