These aspects of algorithm, software and the accompanying narrative, are essential ingredients for an enactment of a division of populations according to continental barriers in the Rosenberg study, that are reminiscent of racial divisions.
In addition to a priori division of populations into regions, we explored spatial relationships among populations using spatial analysis of molecular variance (SAMOVA) in SAMOVA 1.0 [33].
Thus, we concluded that the division of populations into seven groups best described the high-level population structure in our dataset.
A-priori division of populations into two regions, "NWA" vs. "NEA+ISL," tested with AMOVA, although significant, explained only 12.6% of the total variance, while variation among populations within regions was 45.2% (Table 2).
However, due to substructure observed in the PIR2 population, a new analysis with Structure software showed the division of this population into two subpopulations, with the presence of a potential migrant individual.
Dialectal differences also often run parallel with the religious or racial division of the population.
Both health insurance programs were based on employees' working status, not on the division of the population into urban and rural residents.
In the policy-making process, there is a division of the population between citizens and non-citizens, nationals and non-nationals, immigrants and citizens.
A common example is the division of the population into three broad age categories: children, adults, and older adults [30], [31], [32].
