Sentence examples for geographic correlation from inspiring English sources

In fact, the geographic correlation was so strong that Dunn and Fierer have since shown, in a separate paper, that they can use fungal DNA to determine, to within about a hundred and fifty miles, where in the United States a dust sample originated.

In this context, genes involved in flowering regulation should show allelic differentiation across environmental gradients, and their allele frequencies may reflect the mechanism of adaptation of plants to new conditions of day length through a geographic correlation pattern (Naranjo et al. 2014).

No epidemiological links or geographic correlation was established for 9 clustered drug-resistant isolates (34.6%) in Deqing and 11 clustered drug-resistant isolates (23.4%) in Guanyun.

We focus on small-area analyses, encompassing disease mapping, geographic correlation studies, disease clusters, and clustering.

However, there was no obvious rule among them, that is, geographic correlation.

There is evidence of an inverse geographic correlation between HIV prevalence and partial cutting practice.

Thus, we compared the distribution of Lyme disease cases in the United States with the distributions of deaths due to Alzheimer disease, amyotrophic lateral sclerosis (ALS), multiple sclerosis (MS), and Parkinson disease; no geographic correlations were identified.

The geographic correlations are further manifested in the distribution patterns of the sub-clades: R7a being more common in northern India while R7b is more frequent in the southern parts of the subcontinent.

However, as the significant geographic-genetic correlation for the overall Old World sample set revealed, we cannot overlook that such differences in gene flow might as well be explained on the basis of geographic distance alone.

Because hospital density was highly correlated with geographic region (Pearson correlation r = 0.99), and median household income was correlated with percent below poverty (Pearson correlation r = 0.69), we retained all confounders except for hospital density and median household income in the final multivariate regression models because of significant p-values (< 0.01).

However, variation in the strength of adaptation was greater at smaller than at larger geographic scale (Negative correlation between log-distance and residual effect size; r = −0.11, N = 429, P = 0.0235).