Sentence examples for mean admixture proportion from inspiring English sources

To determine whether and how admixture affects genetic diversity, we ran a linear regression analysis between the mean allelic richness AR and the mean admixture proportion of populations.

In Bayesian clustering analyses, the mean admixture proportion (Q) for two inferred populations was 95.3% in Q1 for coastal populations, and conversely, 93.8% for Q2 among inland populations (Fig. 2).

Regions with highest mean admixture proportion in Q6 included the majority from the upper and middle Columbia, and the Grande Ronde and Imnaha rivers in the Snake River Basin.

Specifically, given an estimate of Q ∗ obtained from variational inference executed for a choice of K, we compute the ancestry contribution of each model component as the mean admixture proportion over all samples, i.e., c k = 1 N ∑ n Q n k ∗.

Sample size (n), mean admixture proportion (M = introduced allele frequency across all markers), standardized variance of the introduced allele frequencies among markers within samples (F LS – analogous to F ST among subpopulations within a metapopulation [ 30]), and Long's test statistic for goodness-of-fit to the null hypothesis of neutral admixture (accounting for variation owing to drift).

Mean admixture proportions showed significant differences both at regional and municipal levels (p<10−4 for European and African, p<0.01 for Native American, Table 1 and Figure 1C).

We show that very different admixture processes can produce identical mean admixture proportions, but that such processes produce different values for the variance of the admixture proportion.

The program structure version 2.3.4 (Pritchard et al. 2000) was used to estimate the mean admixture proportions (Q), or fractional group fidelity among individuals in each of 145 populations, setting k = 2 (two inferred groups; coastal and inland).

Fig. 2 shows the variation of the mean cattle admixture proportion in terms of mY among the 28 yak populations and geographical groups.

To assess the level of cattle introgression in domestic yak populations at genome level, we determined the mean cattle admixture proportion in domestic yak populations using admixture analyses based on both allele frequency and allele size information (mY), and a model-based Bayesian clustering algorithm.

Similar levels of mean cattle admixture proportions were detected in the QTP (3.90 ± 0.62%) and M&R (4.78 ± 0.75%) groups (P=0.45), and they were significantly higher than that in the HPP group (0.00 ± 0.58%, P<0.01) (Table 2, Fig. 1c).