Population-genetic study of Balkan endemic nephropathy in Serbia

Population-genetic study of Balkan endemic nephropathy in Serbia The study of Balkan endemic nephropathy (BEN) in the affected localities of southern Serbia shows population-genetic difference between samples of BEN affected individuals and control group consisting of non-affected individuals from the same localities. Detailed population-genetic study in village Chepure, which includes 20 large families where BEN is present in 646 (from first to fourth degree) relatives of probands, shows a familial character of disease as well as significant genetic influences in expression of the illness. Our study of genetic homozygosity degree includes an analysis of the presence, distribution and individual combination of 20 to 30 selected genetically controlled morphophysiological traits in the sample of BEN patients and in the control-healthy group. Assuming that BEN is genetically controlled disease, we made a hypothesis that an increased homozygosity level, as well as the changed variability among the patients, could be populationgenetic parameter for the prediction of the illness. Taking into consideration our experience, as well as the experience of numerous scientists who studied the nature of the inheritance of mono-and oligo-genically controlled qualitative traits, we applied a methodology to estimate the proportion of such homozygously recessive characters (HRC-test). This population-genetic study did not only show statistically significant difference of the mean values of genetic homozygosity (BEN: 8.7 ± 0.3; control: 7.6 ± 0.3), but of the differences in the type of distribution too, as well as the differences in the presence of certain individual combinations of such traits. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

Population-genetic study of Balkan endemic nephropathy in Serbia

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Copyright © 2007 by Pleiades Publishing, Inc.
Biomedicine; Human Genetics; Animal Genetics and Genomics; Microbial Genetics and Genomics
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