T A Koertvelyessy

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The population structure of Ramea Island, Newfoundland, is described using surname, marital migration, and serological data. Results presented indicate that Ramea is an open and heterogeneous population. It is shown, however, that this contemporary characterization has a time depth of only three decades and has resulted from a rapid population response to a(More)
A number of tlutlic* rrjwrt an impairment of the genetically inherited ability to taste ITC a. % a function of age. but ignore the cumulative effect of smoking on taste deterioration. Thi* «tudy examine* the effect of aging on taste sensitivity in non-smoking: Mennonite population*. The results obtained preclude a cause and effect relationship between age(More)
Island populations are most informative in the study of the genetic structure of human aggregates. These populations are often of small size, thus violating the Hardy-Weinberg assumption of infinite size. Some geographically isolated island populations are further subdivided by religion, ethnicity, and socioeconomic factors, reducing their effective sizes(More)
The repeated-pair (RP) approach to surnames in married couples is a measure of population subdivision resulting from the influence of lineagelike behavior in mate choice. An excess of RP over random RP implies limitations in mate choice and a reduction of genetic variability. Here we apply the RP method to data from the rural populations of Csaroda,(More)
The repeated-pairs of surnames in marriages (RP) approach is applied to the population of Tiszaszalka in north-eastern Hungary. The results indicate that: (1) lineage-like behaviour in mate choice results in population subdivision in both the Catholics and the Protestants of the village; (2) unlike in some other Tiszahat villages, the isonymous and the(More)
A cross-cultural analysis of mortality patterns is of interest to biological anthropologists and genetic epidemiologists. In this paper, we examine four agricultural populations from Costa Rica, Hungary, and the United States in order to determine if they suffered from a cyclical distribution of epidemics. When possible, we look at the mortality time series(More)
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