Biomedical subjects
Publications and source records attributed to E K Ginter.
Based on the data from 569 questionnaires collected in Udomlya and Ostashkov raions of Tver oblast and 436 questionnaires collected in Tsimlyansk and Dubovsk raions of Rostov oblast, genetic demographic characteristics and Crow's index for urban and rural populations of these regions were calculated. The data obtained were compared with those for other Russian populations obtained earlier.
Based on marriage records for 1950-1959, 1970-1979, and 1990-1999, ethnic assortativeness of Chuvash and Russian inhabitants of Tsivil'sk raion of the Chuvash Republic was calculated. It was shown that in half a century ethnic assortativeness of Chuvashes did not change (1.18, 1.15, and 1.15), while in Russians a clear downward trend was observed (4.20, 2.18, and 1.28). The data on ethnic assortativeness obtained were compared with those for the same populations from other regions of the Chuvashia examined earlier.
Genetic demographic characteristics were calculated for Chuvash and Russian inhabitants of the Republic of Chuvashia. The generation lengths were 27.09 and 26.4 years and the sibship sizes were 2.54 and 1.82 for Chuvashes and Russians, respectively. Crow's indices and their components were as follows: Im = 0.05, If = 0.31, and Itot = 0.37 for Chuvashes and Im = 0.03, If = 0.43, and Itot = 0.46 for Russians. The genetic demographic characteristics obtained were compared with those for Highland and Meadow Maris.
Population genetic characteristics were estimated in the Alatyr' raion (administrative district) of the Republic of Chuvashia, which has long been populated by three ethnic groups. The ethnic assortativeness values in the town of Alatyr' and the rural area of the district were 1.17 and 1.21, respectively, for Russians; 1.14 and 4.82, respectively, for Chuvashes; and 1.33 and 2.45, respectively, for Mordovians. Wright's statistics were as follows: Fst = 0.00358, Fit = 0.00178, and Fis = 0.00134. The migration indices were 0.0264 for Alatyr' and 0.0178 for the district. The endogamy indices for the total and the Russian populations of Alatyr' were 0.47 and 0.53, respectively. The parameters of isolation by distance were a = 0.000189 and b = 0.00959 for the urban and a = 0.000318 and b = 0.00919 for the rural area. Schemes of the genetic landscape were constructed. The influence of the polyethnic composition on the genetic structure of the population is discussed.
Results of 20-year studies on the diversity of autosomal dominant (AD) diseases are summarized. The studies were carried out in six regions of Russia: Kirov, Kostroma, and Bryansk oblasts; Krasnodar krai; and Adygea and Marii El republics. A total of 1.5 million subjects from 44 raions (districts) were studied. In the populations studied, 144 AD diseases were found; the total number of affected persons was 1723. The prevalence rate in the region where the disease was found and the average prevalence rate in the total population studied were calculated for each disease. Only 11 AD diseases had prevalence rates of 1:50,000 or higher. About half of AD diseases (64) had a very low prevalence rate (1:861,408). However, most cases (about 70% of the affected persons) were accounted for by more frequent diseases. Forty-six diseases exhibited local accumulation. The AD mutation rate was estimated by direct calculation. This rate was 0.542 x 10(-6) per gamete per generation.
Parameters of the marriage structure and migration were analyzed on the basis of marriage records in the Kanash, Cheboksary, and Morgaushi raions of the Chuvash Republic. Ethnic assortiveness was not detected in Chuvashes and was 4.16-18.05 in Russians. Gene flow between Chuvashes and Russians was 5.1-8.3%; the degree of endogamy was 0.61-0.70.
Malecot's parameters of isolation by distance and the degree of endogamy were estimated for individual Village Soviets of the Kanash, Cheboksary, and Morgaushi raions of Chuvashiya. Inbreeding landscape schemes were constructed for the Kanash and Morgaushi raions. The suitability of the Malecot's model of isolation by distance for populations of the Village-Soviet level was analyzed.
Comprehensive population genetic and medical genetic studies were performed in three raions (districts) of Chuvashia. The population of these districts is more than 90% Chuvash. About 70% of the families that completed reproduction had two or three children. The proportion of families with four or more children was 18%. The duration of generation was 27.6 years. The differential fertility and differential mortality indices in the Chuvash population were estimated at 0.33 and 0.076, respectively. The total index of differential selection was 0.403, which is typical of modern urbanized populations. Mean values of local inbreeding calculated from Malecot's model of isolation by distance were 0.00124 and 0.00377 for the urban and rural populations, respectively, of the districts studied. The prevalence rates of autosomal dominant (AD), autosomal recessive (AR), and X-linked diseases were found to be 0.47, 0.52, and 0.35 per 1000, respectively, in the urban population and 1.62, 1.14, and 0.31 per 1000, respectively, in the rural population. Significant correlation between the local inbreeding and prevalence rates of AD and AR diseases was found. A total of 43 AD and 43 AR diseases were identified. Some of them were not found in previous studies on other populations.
A genetic epidemiological study of osteopetrosis was carried out in Chuvashiya. The major signs of this disorder are severe anemia developed in the prenatal or early postnatal life, hepatosplenomegaly, and a progressive loss of sight and hearing. Osteopetrosis showed the autosomal recessive inheritance with a somewhat increased proportion of affected patients in families. The lowest estimate of osteopetrosis frequency in Chuvashiya was 0.00026, one affected patient per 3879 newborns. The osteopetrosis gene occurred at a frequency of 0.016; the proportion of heterozygotes was 3.15%. The gene was shown to be evenly distributed throughout the republic.
The diversity of autosomal recessive (AR) diseases was studied in six Russian regions: the Kirov, Kostroma, and Bryansk oblasts; Adygea Republic; Krasnodar krai, and Marii El Republic (in the latter region, the Mari and Russian ethnic groups were studied separately). In total, more than 1.5 million people were studied. The spectrum of the AR diseases included 101 nosological forms; the total number of the affected subjects was 942. For all diseases, the prevalence rate in the region where they were found and the mean prevalence rate in the total population studied were calculated. Only seven AR diseases had prevalence rates of 1:50,000 or higher; however, this group contained about 50% of the patients. About half of the AR diseases (66) had an extremely low prevalence rate (1:877,483). Eleven diseases exhibit local accumulation. Accumulation of some or other diseases was only observed in four out of seven populations studied (Marii El, Adygea, and the Kirov and Bryansk oblasts). To determine the cause of the local accumulation of some diseases in populations, correlation analysis of the dependence of accumulation of hereditary diseases on the genetic structure of the populations studied was performed. The accumulation coefficients for AR and autosomal dominant (AD) diseases and the mean values of random inbreeding (Fst) in individual districts were calculated for all populations studied. The coefficients of the Spearman rank correlation between the accumulation coefficient and random inbreeding (Fst) were 0.68 and 0.86 for the AD and AR diseases, respectively. The correlation between the accumulation of AD and AR diseases was 0.86. The relationships found indicate that the diversity of AD and AR diseases, as well as the genetic load, distinctly depended on the population genetic structure and were largely determined by genetic drift.
The paper covers several topics that demonstrate a close relationship between population genetics and medicine. To study isolated populations is an effective tool to detect "new" Mendelian diseases and to map the genes of hereditary diseases. Several new molecular genetic techniques have been developed, which facilitates the procedure of gene mapping. New genetic polymorphisms, such as VNTR, STR, and SNP in particular, have increased the feasibility of searching for genes, which predisposes to common diseases through linkage mapping and association studies. DNA polymorphisms have been shown to be also effective in solving the problems of pharmacological genetics and for detecting genes whose variability is associated with the efficacy of drugs and their side effects.
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The paper presents the results of genetic and epidemiological study of populations in 5 Russian regions: the Kirov, Kostroma, and Bryansk Provinces, Krasnodar Territory, and the Republic of Mari El. The total size of the study population was over 1.5 million. Random inbreeding (Fst) in all Russian rural populations was significant and varied from 0.34 x 10(-3) to 7.6 x 10(-3). The prevalence rates for autosomal dominant (AD) disorders ranged from 0.22 to 3.93 per 1000. The load of autosomal recessive (AR) disorders varied from 0.17 to 2.01. The prevalence rates for AD and AR disorders was twice lower in the urban populations than those in the rural ones. The prevalence of X-linked recessive disorders was 0.33 per 1000 males. An analysis was made to examine the correlation between inherited diseases and Fst. The Pierson correlation coefficient was 0.81 and 0.87 for AD and AR disorders, respectively. The regression suggested that genetic differentiation of the populations with genes for hereditary disorders is partially related to gene drift. This suggestion was proved by genetic geographical mapping analysis. The similarity in the patterns of genetic distance distribution for all 3 genetic systems was revealed by the correlation coefficients between the maps for neutral genetic markers and the genes of AD and AR disorders which were equal to 0.67 and 0.65. There was the highest correlation coefficient between the maps of genetic distances for the genes of AD and AR disorders (Rs = 0.88).
An important characteristic of the genetic structure of populations, random inbreeding (interpopulation variation), was evaluated on the basis of quasi-genetic markers (surnames). The following methodological issues are considered: estimation of random inbreeding using the coefficient of isonymy fr in a subdivided population; a comparison of inbreeding levels calculated on the basis of surname frequencies using fr and Wright's FST; a comparison of inbreeding estimates obtained on the basis of surnames and genetic markers; inbreeding variation in populations of the same hierarchical rank; and planning of genetic studies of a subdivided population. The population of Adygs (an indigenous ethnic group of Northern Caucasus) was examined as a model subdivided population. The population system of Adygs is hierarchical. Parameters of random inbreeding were examined at each level of the system "ethnic group==>tribe==>geographic group of auls==>aul." Frequencies of surnames were collected subtotally. Data on frequencies of 1340 surnames in 61 auls representing all Adyg tribes were analyzed. In total, 60,000 people were examined. The inbreeding estimates obtained on the basis of Wright's FST and the coefficient of isonymy fr virtually coincided: for Adygs in general, FST x 10(2) = 2.13 and fr x 10(2) = 2.09. At the same time, the inbreeding level exhibited marked differences among tribes: in Shapsugs, these differences were an order of magnitude higher than in Kabardins (fr x 10(2) = 2.53 and 0.25, respectively). The inbreeding estimates for auls differed by two orders of magnitudes: fr x 10(2) = 0.07 and fr x 10(2) = 7.88. An analysis of ten auls yielded fully coinciding inbreeding estimates based on quasi-genetic (fr x 10(2) = 0.60) and classical (FST x 10(2) = 0.69) gene markers. Computer maps of surname distributions in Adygs (1340 maps) were constructed for the first time ever. Based on these maps, the map of random inbreeding in the Adyg population was obtained.
We describe a hereditary form of alopecia in an aboriginal Finno-Ugric population. Linkage and mutation analyses of 21 families showed that the disorder was not linked to the hairless gene on chromosome 8. This implies that an isolated hairless defect caused by a single gene is a genetically heterogeneous disorder in human populations.
The spectrum and prevalence rate of hereditary pathology in Kanevskii and Bryukhovetskii raions (districts) of Krasnodar krai (territory) were analyzed. The total size of the studied population was 145,937. The prevalence rate of monogenic hereditary pathology was estimated. This value was 1.08 +/- 0.08, 0.72 +/- 0.07, and 0.20 +/- 0.06 per 1000 people for autosomal dominant (AD), autosomal recessive (AR), and X-linked (XL) recessive diseases, respectively. Forty-two AD (158 affected persons in 82 families), 32 AR (105 affected persons in 82 families), and 6 XL disease entities (13 affected persons in 8 families) were found. A slight genetic subdivision was found in the populations of Kanevskii and Bryukhovetskii raions. However, it was not found to affect the prevalence of hereditary pathology.
Models of geographic distribution of 33 alleles of 10 loci (AB0, TF, GC, PI, HP, AHS, F13B, ACP1, PGM1, GLO1) in the indigenous population of five raions (districts) of Marii El Republic were analyzed by cartographic statistical methods. Based on 33 maps for individual alleles, synthetic maps were constructed; they reflected the general characteristics of the spatial variability of the Mari gene pool. A map of reliability of the synthetic maps was also obtained. This study was the first to use estimates of the reliability of the gene-geographic prognosis for constructing and interpreting the maps of principal components. Synthetic maps of principal components reveal the geography of the main factors that determine the genetic diversity of the Maris. In the map of the first principal component (accounting for 25.5% of the total variation of the Mari gene pool), isolines clearly ran in the latitudinal direction; i.e., the variability exhibited a north-south gradient. The direction of changes reflects the characteristic features of the microevolution of the Mari gene pool, because it differs from the direction of the principal components of in the total Ural gene pool. The second principal component (24.3% of variation) also exhibited a latitudinal gradient in the western part of Marii El. In the eastern part of the republic, isolines drastically change their direction and display a marked west-east gradient. This longitudinal orientation of principal components is characteristic of the Maris in the synthetic maps of the Ural region. Contributions of individual genes in the variation of principal components were analyzed. In proceeding from the geographic space to the space of principal components, it was found that Highland Maris are separated from Meadow Maris not only geographically, but also genetically.
A summary of the medical genetic studies of the Marii El population is presented. A total of 276,900 people, 110,894 and 166,006 urban and rural inhabitants, respectively, were examined. Regarding the ethnic composition, the studied population was mostly Mari (61.96%) and Russian (32.04%). Medical genetic examination revealed 480 subjects from 260 families with autosomal dominant (AD) diseases, 234 subjects from 184 families with autosomal recessive (AR) diseases, and 49 subjects from 41 families with x-linked diseases. Segregation analysis revealed a good agreement between the expected and observed segregation frequencies for families with AR and AD diseases and allowed the frequency of hereditary diseases in the urban and rural, as well as the Russian and Mari, populations, to be estimated. The total frequency of AD diseases in Maris was approximately twice as high as in Russians (1.99 and 0.97%, respectively); substantial differences between district populations were found. The total frequency of AR diseases was also two times higher in Maris than in Russians (1.00 and 0.54%, respectively). The frequencies of AR and AD diseases in different districts were correlated with the levels of random and local inbreeding, population size, and the index of maximum selection.