Integrated population genetic and medical genetic study of two raions of the Tver oblast

An integrated medical genetic an population genetic study has been performed in two raions (administrative districts) of the Tver oblast (region) of Russia: the Udomlya raion located in the zone affected by the Kalininskaya Nuclear Power Plant and the Ostashkov raion, which served as a control district. No significant differences has been found with respect to the genetic parameters studied. The values of these parameters in the populations of the town of Udomlya, the town of Ostashkov, the Udomlya raion, and the Ostashkov raion, respectively, are the following: random inbreeding, 0.00006, 0.00011, 0.000167, and 0.000366; endogamy index, 0.05, 0.43, 0.30, and 0.42; local inbreeding, 0.0003, 0.00045, 0.0009, and 0.0011; the degree of isolation by distance, 0.0003, 0.00045, 0.0009, and 0.0005; sigma, 2098, 1338, 1473, and 1189; the load of autosomal dominant (AD) diseases, 0.71, 0.92, 0.92, and 1.37; the load of autosomal recessive (AR) diseases, 0.68, 0.69, 0.67, and 0.82; and the load of X-linked diseases, 0.18, 0.64, 0.83, and 0.27.     

Genetic and Demographic Structure of Russian Populations from Tver and Rostov Oblast

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.     

Epidemiology of monogenic hereditary diseases in Rostov oblast: Population dynamic factors determining the differentiation of the load of hereditary diseases in eight districts

A genetic epidemiological study has been carried out in eight raions (districts) of Rostov oblast (region) of Russia: Tsimlyansk, Volgodonskoi, Tselina, Egorlykskaya, Millerovo, Tarasovskaya, Rodionovo-Nesvetaiskaya, and Matveevo-Kurgan raions. The population structure (the parameters of the isolation by distance model, ethnic assortative marriage, random inbreeding (F _ST), endogamy index, and ie) and the genetic demographic characteristics of the regional population (vital statistics, Crow’s index, and its components) have been analyzed. The total sample size was 320 925 subjects (including 114 106 and 206 816 urban and rural residents, respectively). The load of the main types of Mendelian diseases (autosomal dominant (AD), autosomal recessive (AR), and X-linked diseases) has been calculated for the total sample from eight districts and separately for the urban and rural populations. Substantial differences between individual districts in the AD and AR genetic loads have been found, especially upon separation into urban and rural samples. The results of correlation analysis suggest that migration and genetic drift are the main factors of genetic differentiation of populations with respect to the prevalence of hereditary diseases.     

Genetic and demographic structure of Russian populations from the Tver' and Rostov regions

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.     

Genetic epidemiological study of monogenic hereditary diseases in the Republic of Tatarstan: Population dynamic factors determining the differentiation of the load of hereditary diseases in five districts

A genetic epidemiological study has been performed in five districts of the Republic of Tatarstan, Russia: Arsky, Atninsky, Kukmorsky, Buinsky and Drozhzhanovsky raions. The total size of the population surveyed is 188397 people. Tatars accounted for 77.13% of the population analyzed (145466 people) and were represented by two main ethnic groups: Kazan Tatars and Mishars. The medical genetic study encompassed the total population of the districts, irrespective of ethnicity, and was carried out according to the standard protocol developed in the Laboratory of Genetic Epidemiology of the Research Center for Medical Genetics of the Russian Academy of Medical Sciences. After segregation analysis, the prevalence rates of the main types of monogenic hereditary disorders (MHDs), i.e., autosomal dominant (AD), autosomal recessive (AR), and X-linked diseases, have been calculated for the total population of the five districts and for Tatars alone. The prevalence rates of AD, AR, and X-linked diseases considerably vary in different subpopulations. The largest difference in the MHD prevalence rate has been found between the rural and urban populations. The overall prevalence rate of MHDs was one patient per 293 urban residents and populations and one patient per 134 rural residents, with a wide variation between subpopulations, from 1: 83 people in the rural population of Atninsky raion to 1: 351 people in the town of Kukmor. Comparison of the MHD prevalence rate in Tatars with those in populations surveyed earlier has shown that the characteristics of the load of MHDs in the Tatar population are similar to those in some districts of the republics of Bashkortostan, Udmurtia, Mari El, and Chuvachia. In Russian populations of European Russia, the MHD prevalence rates are substantially lower. Correlation analysis has shown high (r = 0.5?C0.9) significant correlations between the local inbreeding (a), the im index, the random inbreeding (F _ST), and the AD and AR prevalence rates in the Tatar population. This analysis has demonstrated that genetic drift is the main population dynamic factor determining the MHD load in the Tatar population.     

Genetic and demographic characteristics of rural populations of Altai Republic: The marriage structure dynamics

The dynamics of population marriage structure in the period from 1951 to 1997 has been studied in three villages of Altai Republic: Kulada (Ongudaisk raion), Beshpeltir (Chemal raion), and Kurmach-Baigol (Turochak raion). These populations have been found to differ from one another in the intensity and direction of migration, as well a its temporal pattern with respect to the birthplaces and ethnicity of persons contracting marriages. Periods of active incorporation of non-Altaian (mostly Slavic) ethnic components into the gene pools of the Beshpeltir and Kurmach-Baigol populations have been detected. The geographic distributions of the birthplaces of men and women contracting marriages are different. Therefore, migration has different effects on the genetic diversity of the Y-chromosomal and mitochondrial-DNA pools. No isonymic marriages have been found in the Altaian populations studied; however, an increase in the random component of inbreeding has been observed.Translated from Genetika, Vol. 41, No. 2, 2005, pp. 261–268.Original Russian Text Copyright © 2005 by Kucher, Tadinova, Puzyrev.     

Genetic load of hereditary diseases in populations of the Krasnodar Krai]

Medico-genetical study of populations living in Krasnodar district was carried out. The mean value of genetic load contributed by autosomal dominant diseases composed 0.92 +/- 0.06, this value being 0.56 +/- 0.04 for autosomal recessive and 0.36 +/- 0.05 for X-linked recessive disorders per one thousand. Comparative analysis of genetical load in urban and rural populations demonstrated that they had no differences in relation to genetical load contributed by autosomal recessive and X-linked recessive disorders. At the same time, significant differences were noted between the populations concerning genetic load contributed by autosomal-dominant disorders.     

Medical genetic study of the population of Kostroma Province. V. The hereditary pathology burden of urban and rural populations

Medical genetic study was carried out in the urban and rural populations of Kostroma Province. Urban populations were shown to have lower frequencies of "rare" forms of autosomal recessive diseases, in comparison with those in the rural populations. Analysis of interrelationship between genetical structure of populations and prevalencies of hereditary diseases in the populations revealed clear relations between the load of autosomal recessive diseases and the level of inbreeding in the populations.     

Prevalence and Molecular Genetic Typing of Nonsyndromic Sensorineural Deafness in Chuvash Republic

Summarized genetic epidemiological characteristics of nonsyndromic sensorineural deafness in six raions of Chuvash Republic (Cheboksary, Kanash, Morgaushi, Tsivil'sk, Mariinski Posad, and Alatyr') are presented. A total of 264419 individuals were examined. Forty-five families (60 affected individuals) with autosomal recessive (AR) and 8 families (18 affected individuals) with autosomal dominant (AD) nonsyndromic sensorineural deafness (NSSD) were identified. The load of AD and AR NSSD in the raions examined was estimated. A correlation between the distribution of AR NSSD and genetic drift was demonstrated. Furthermore, the load of AR NSSD was substantially higher in the regions with higher differentiation level. The Spearman's correlation coefficient value was 0.87. Typing of the 35delG mutation in the gene for connexion 26 was carried out in 34 patients from 26 families with AR NSSD. Comparative estimates of the NSSD prevalence in a number of Russian populations were performed.     

Endogamy and isolation by distance in the Tatarstan population

A total sample of 31 837 marriage records made in 13 raions (districts) of Tatarstan in 1990–2000 have been used to determine the endogamy index and parameters of Malecot’s isolation by distance model. The endogamy index varied from 0.45 in Pestrechinsky raion to 0.74 in Aktynashsky raion. The parameters of Malecot’s isolation by distance model varied in Tatars as follows: random inbreeding, from 0.00014 to 0.00076; root mean square migration, from 46 to 110 km.     

Genetic ecological monitoring in human populations: heterozygosity, mtDNA haplotype variation, and genetic load

Yu. P. Altukhov suggested that heterozygosity is an indicator of the state of the gene pool. The idea and a linked concept of genetic ecological monitoring were applied to a new dataset on mtDNA variation in East European ethnic groups. Haplotype diversity (an analog of the average heterozygosity) was shown to gradually decrease northwards. Since a similar trend is known for population density, interlinked changes were assumed for a set of parameters, which were ordered to form a causative chain: latitude increases, land productivity decreases, population density decreases, effective population size decreases, isolation of subpopulations increases, genetic drift increases, and mtDNA haplotype diversity decreases. An increase in genetic drift increases the random inbreeding rate and, consequently, the genetic load. This was confirmed by a significant correlation observed between the incidence of autosomal recessive hereditary diseases and mtDNA haplotype diversity. Based on the findings, mtDNA was assumed to provide an informative genetic system for genetic ecological monitoring; e.g., analyzing the ecology-driven changes in the gene pool.     

Genetic structure of the Udmurt population

Integrated study of the genetic structure of the Udmurt population with respect to different genetic systems has been performed. Data on the genes of genetic diseases, abiotic parameters analyzed by population statistic methods, and DNA polymorphism are summarized. The populations of six raions (districts) of Udmurt Republic (the Mozhga, Malaya Purga, Sharkan, Debesy, Igra, and Glazov raions) have been studied. The total population studied was 267 655 people (an urban population of 150 119 people and a rural population of 117 536 people), including 155 346 Udmurts. The population structure has been studied in six districts on the basis of the vital statistics, Crow’s indices, Malecot’s isolation by distance parameters, ethnically assortative marriage parameters, endogamy indices, inbreeding-endogamy (ie) indices, and frequencies of the genotype and allele frequencies of four DNA markers (17 alleles). The prevalences of hereditary diseases have been calculated for different population groups: urban and rural populations, Udmurts and other ethnic groups. These groups, especially the urban and rural populations, substantially differed from one another in the prevalences of autosomal dominant (AD) and autosomal recessive (AR) diseases. The correlation between the prevalence of AD and AR diseases and the ie index is positive and significant. The spectrum of hereditary diseases detected in six districts of Udmurtia comprises 149 diseases (80, 57, and 12 AD, AR, and X-linked diseases, respectively). Accumulation of individual diseases in districts of Udmurtia and accumulation of diseases in Udmurtia as compared to regions studied earlier has been found. Cluster analysis of the frequencies of genes of AD and AR diseases and DNA markers has determined the gene geographic position of Udmurts.     

Analysis of diversity of autosomal-recessive diseases in Russian populations]

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.     

Prevalence of Hereditary Pathology in Altai Republic

Medical genetic study of the population of Altai Republic (Russia) has been performed. The population sample comprises 203148 subjects, including 59196 Altaians, 134972 Russians, and 8980 Kazakhs. For each nosological group, the loads of Mendelian pathology with different modes of inheritance and their prevalence rates in urban and rural populations have been determined. Thirty-six autosomal dominant (AD) diseases have been found in a total of 121 subjects, with hereditary syndromes being the most prevalent. Autosomal recessive (AR) pathology is represented by 24 diseases found in 158 subjects, with metabolic disorders being the most prevalent; and X-linked pathology, by four diseases in nine subjects. The prevalence rate has been calculated for each nosological form in the district where it has been found. The loads of AD, AR, and X-linked pathologies in the urban population were, respectively, 2.98 and 9.62 per 1000 people and 0.56 per 1000 men in Altaians; 0.86 and 0.94 per 1000 people and 0.23 per 1000 men in Russians; 0.34 and 1.16 per 1000 people in Kazakhs. In the rural population, the genetic load has been calculated for each district. The spectrum of hereditary pathology in the populations studied is described.     

Genetic Epidemiological Study of Three District Populations in Chuvashia

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.     

Genetic epidemiological study of populations in three regions of Chuvashia Republic

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.     

Genetic evaluation with autosomal and X-chromosomal inheritance

Summary At present, genetic evaluation in livestock using best linear unbiased prediction (BLUP) assumes autosomal inheritance. There is evidence, however, of X-chromosomal inheritance for some traits of economic importance. BLUP can accommodate models that include X-chromosomal in addition to autosomal inheritance. To obtain BLUP with autosomal and X-chromosomal additive inheritance for a population in which allelic frequency is equal in the sexes, and that is in gametic equilibrium, we write y _i = x_i + a_i + s_i + e_i, where y _i is the phenotypic value for individual i, x_i, is a vector of constants relating y _i to fixed effects, is a vector of fixed effects, a _i is the additive genetic effect for autosomal loci, S _i is the additive genetic effect for X-chromosomal loci, and e _i is random error. The covariance matrix of a _i's is A _A ² , where A is the matrix of twice the co-ancestries between relatives for autosomal loci, and _A ² is the variance of additive genetic effects for autosomal loci. The covariance matrix of s _i's is S _F ² , where S is a matrix of functions of co-ancestries between relatives for X-chromosomal loci and _F ² is the variance of additive genetic effects for X-chromosomal loci for noninbred females. Given the covariance matrices of random effects a _i, s_i, and e _i, BLUPs of autosomal and of X-chromosomal additive effects can be obtained using mixed model equations. Recursive rules to construct S and an efficient algorithm to compute its inverse are given.Dedicated to the memory of Dr. C. R. Henderson, whose encouraging comments stimulated the research in this paper. Supported in part by the Illinois Agricultural Experiment Station, Hatch Project 35-0367, Estimation of Genetic Parameters.     

Inbreeding and endogamy in Tatarstan

The random inbreeding (F(ST)) and local inbreeding (a) values have been calculated for populations of the district and rural municipality ranks of 16 and 13 raions (administrative districts) of Tatarstan, Russia, respectively. The correlations between all inbreeding values are positive and vary from 0.38 to 0.80. The endogamy index has been calculated for populations of the district rank; it varies from 0.45 in Pestrechinskii raion to 0.74 in Aktanyshskii raion. Cartographic extrapolation of the endogamy indices has been performed.     

Early-acting inbreeding depression and reproductive success in the highbush blueberry,Vaccinium corymbosum L.

Summary Tetraploid Vaccinium corymbosum genotypes exhibit wide variability in seed set following self- and cross-pollinations. In this paper, a post-zygotic mechanism (seed abortion) under polygenic control is proposed as the basis for fertility differences in this species. A pollen chase experiment indicated that self-pollen tubes fertilize ovules, but are also outcompeted by foreign male gametes in pollen mixtures. Matings among cultivars derived from a pedigree showed a linear decrease in seed number per fruit, and increase in seed abortion, with increasing relatedness among parents. Selfed (S₁) progeny from self-fertile parents were largely self-sterile. At zygotic levels of inbreeding of F>0.3 there was little or no fertility, suggesting that an inbreeding threshold regulates reproductive success in V. corymbosum matings. Individuals below the threshold are facultative selfers, while those above it are obligate outcrossers. Inbreeding also caused a decrease in pollen viability, and reduced female fertility more rapidly than male fertility. These phenomena are discussed in terms of two models of genetic load: (1) mutational load — homozygosity for recessive embryolethal or sub-lethal mutations and (2) segregational load — loss of allelic interactions essential for embryonic vigor. Self-infertility in highbush blueberries is placed in the context of late-acting self-incompatibility versus early-acting inbreeding depression in angiosperms.     

Influence of inbreeding depression on a lake population of Nymphoides peltata after restoration from the soil seed bank

The negative effects of inbreeding depression on fragmented small populations are likely to be expressed more strongly after restoration efforts if regeneration processes have been highly restricted in degraded habitats. We examined the potential influences of inbreeding depression on a population of Nymphoides peltata (Menyanthaceae) restored from the remnant soil seed bank. A hand-pollination experiment demonstrated self-compatibility of a single remaining homostyle genet and significant inbreeding depression in selfed progeny, especially in parameters related to seedling growth (–0.6 for biomass, and –0.4 for relative growth rate). Our genetic analysis indicated that the presumed number of parents contributing to the current soil seed bank was only 2–8 genets and that a single sib-family dominated at each of three sampling sites. The results also showed that the selfed progeny of the homostyle genet were overwhelmingly dominant at two sites (86.8 and 94.7%). As a result, the growth performance of the seed bank seedlings was significantly reduced, to a level as low as that of the selfed progeny. Active restoration efforts to minimize the negative effects of the genetic bottleneck and continuous monitoring based on genetic and demographic study are recommended.