Sentence examples for models of allele from inspiring English sources

This phenomenon has been noted previously in models of allele frequency change (Nagylaki 1979) and allelic diversity (Whitlock 1992).

Additive, recessive, and dominant models of allele categorization were tested.

The genetic associations were consistent with recessive models of inheritance of SNCA D4S3481 allele 1, although dominant and additive models of allele 0 and allele 1 also had significant effects on the age of PD onset (Table 2).

Incorporating gene duplication to population genetics and phylogenetic analyses of GBS data could be then taken further by 1) including quantitative measurements of paralogous loci into diversity indexes, and 2) developing analytical tools, such that paralogous loci are not excluded from marker-based data sets, but incorporated into models of allele and genome divergence.

There is a growing literature on estimating the selection coefficient, s, using stochastic models of allele-frequency changes (Bollback et al. 2008; Malaspinas et al. 2012; Mathieson and McVean 2013; Feder et al. 2014; Nishino 2013; Foll et al. 2014).

Hence, relying on an infinite Wright island model with drift and migration at equilibrium, Beaumont and Balding [10] proposed a Bayesian modeling of allele frequencies involving both a "locus" and a "population" effects on genetic differentiation.

The methylation and expression levels were taken as phenotypes and a linear model of allele dosage, with age and gender as covariates, was tested using PLINK [ 24].

The placement of one or more network roots outside of the inferred refugia would be consistent with a model of allele surfing [ 61] or extinction of trailing expansion edges [ 9].

We, along with others, have previously worked to link gene expression levels to patterns of CUB by nesting a mechanistic model of protein translation into a population genetics model of allele fixation in order to estimate codon-specific mutation and selection parameters (Gilchrist and Wagner 2006; Gilchrist 2007; Shah and Gilchrist 2011; Wallace et al. 2013).

Five replicate runs were performed, each with 1 × 10 MCMC iterations, the Dirichlet model of allele frequencies, no uncertainty in the spatial coordinates, maximum rate of Poisson process 100 and the maximum number of nuclei in the Poisson-Voronoi tessellation set to 200.

Having estimated gradient functions at each site in the genome, we extend standard HMMs for admixture to incorporate variation at each position on the map by allowing the emission probabilities to vary according to these gradients (see Spatial modeling of allele frequency).