Genetic serum protein markers (HP,TF, GC,PI) in three population samples from Thuringia (Germany); Jena,Erfurt and Suhl

Haptoglobin (HP), transferrin (TF), group specific component (GC) and protease inhibitor (PI) polymorphisms were studied in three population samples from Thuringia: Jena, n=204; Erfurt, n=213; Suhl, n=180. GC and in particular TF allele frequencies show some statistically significant distribution heterogeneity, whereas HP and PI allele frequencies do not show any remarkable distribution differences. The results are discussed and compared with those obtained previously on other population samples from the eastern parts of Germany.     

Genetic serum protein markers (HP,TF, GC and PI) in eight Slovakian population samples

1194 individuals from eight different regions of Slovakia have been typed for haptoglobin (HP) types and for transferrin (TF), group specific component (GC) and alpha-1-antitrypsin (PI) subtypes. Whereas the HP allele frequencies do not show a remarkable regional variability within Slovakia, this could be demonstrated concerning the TF, GC and PI allele frequencies. The reason for these distribution heterogeneities seems to be due to the incomplete panmixia of the Slovakian population by which local variations in the distribution of genetic markers could be maintained.     

Variability of genetic serum protein markers in Austria

Haptoglobin (HP), transferrin (TF), group specific component (GC) and protease inhibitor (PI) polymorphisms were studied in a population sample (n=272) from Tyrol (Austria). Comparing the allele frequencies of these polymorphic serum protein systems with those reported on other Austrian population samples some heterogeneity in the regional distribution of allele frequencies was seen, especially concerning the GC system. The reasons for that may be due to different historical backgrounds in the various regions of Austria.     

Serum protein polymorphisms (HP,GC, PI) in Muslims and Bodhs of Jammu and Kashmir,India

Two population groups of Jammu and Kashmir (India) — Muslims and Bodhs-have been typed for haptoglobin and for CG and PI subtype polymorphisms. The allele frequencies do not show significant differences between these two populations. HP and GC allele frequencies of Bodhs and Muslims differ considerably from with that observed in other North Indian populations. The PI allele frequencies of Bohds and Muslims differ considerably from those found in other Indian populations and are more similar to Mongoloid ones.     

Investigations on the variability of four genetic serum protein markers (HP; TF, GC and PI subtypes) in Italy.

14 population samples from various Italian regions with a total of 2.577 unrelated male and female individuals were typed for four polymorphic serum protein polymorphisms: HP, and TF, GC and PI subtypes. The regional distribution of the allele frequencies of these four polymorphisms shows a considerable heterogeneity, which is for the most part statistically significant, thus indicating an obvious genetic variability of the population of the Italian Peninsula.     

Distribution of the ABO blood groups and the HP,TF, GC,PI and C3 serum proteins in Yakuts

In Yakut populations examined, polymorphisms of immunological and serum protein markers, including AB0 and Rhesus blood groups, HP, TF, GC, PI and C3, were revealed. Gene frequencies for the systems studied fell into the following ranges: AB0 system: r, 0.514 to 0.663; p, 0.136 to 0.306; q, 0.110 to 0.337; haptoglobin HP*1: 0.214 to 0.431; transferrin TF*C: 0.700 to 1.0; group specific component GC*1: 0.821 to 0.978; PI*M1 proteinase inhibitor (or alpha 1-antitrypsin) PIM1: 0.860 to 0.946; and third component of the complement C3*F: 0.031 to 0.143.     

To the research of the gene pool of the Gagauz population of Moldavia

Population genetic data on Gagauzes from Moldavia are reported here for the first time. AB0 and Rhesus blood groups, serum protein group (HP, TF, GC) and the red cell enzyme polymorphism PGM1 were determined in 190 Gagauzes. In addition to this the ability to taste PTC was tested. The following allele frequencies were found: AB0*0 = 0.5241, AB0*A = 0.3279, AB0*B = 0.1480; RH*D = 0.6083, RH*d = 0.3917; HP*1 = 0.3544, HP*2 = 0.6456; TF*C1 = 0.7472, TF*C2 = 0.1770, TF*C3 = 0.0730, TF*B = 0.0028; GC*1F = 0.1025, GC*1S = 0.5932, GC*2 = 0.3043; PGM*1+ = 0.5932; PGM*1- = 0.1000, PGM*2+ = 0.2607, PGM*2- = 0.1107. The frequency of the PTC*T allele was found to be 0.5298. These frequencies and genetic distance analyses show that the gene pool of the Gagauzes is similar to that of neighbouring southeastern European populations.     

The Use of Discrete Characters in Discriminant Analysis for Diagnosis of Pulmonary Tuberculosis and for Classification of Patients Differing in Treatment Efficiency Based on Polymorphisms at Nine Codominant Loci: HP,GC, TF,PI, PGM1, GLO1, C3, ACP1, and ESD

Discriminant analysis was used to differentiate patients with pulmonary tuberculosis (N = 106) from healthy individuals (N = 328) and patients whose treatment was efficient (N = 71) from those whose treatment was inefficient (N = 35). The analysis involved the data on nine polymorphic codominant loci: HP, GC, TF, PI, PGM1, GLO1, C3, ACP1, and ESD. The loci were selected by significance of differences in genotype frequencies between tuberculosis patients and healthy controls (GC, TF, PI, C3, ACP1) or between the two groups of patients differing in treatment efficiency (HP, GC, PI, PGM1, C3, ESD). Discrimination was based on a graphic method of Bayes classification procedure with a single-variate nomograph allowing easy estimation of the a posteriori probabilities for an individual to be classified. The two groups of patients proved to be discriminated sufficiently well (probability of misclassification P _err = 0.24), whereas discrimination between tuberculosis patients and healthy individuals was less efficient (P _err = 0.33). The method was proposed as a means of predicting the efficiency of treatment in pulmonary tuberculosis. Along with clinical, roentgenological, and laboratory examination, discriminant analysis may be employed as an accessory test in diagnostics of pulmonary tuberculosis, especially when the diagnosis is questionable.     

The Russian gene pool. Genogeography of serum genetic markers (HP, GC, PI, TF)

The study continues the series of works on the Russian gene pool. Gene geographic analysis of four serum gene markers best studied in the Russian population (HP, GC, PI, and TF) has been performed. Gene-geographic electronic maps have been constructed for 14 alleles of these loci and their correlations with geographic latitude and longitude. For all maps, statistical characteristics are presented, including the variation range and mean gene frequencies, partial and multiple correlations with latitude and longitude, and parameters of heterozygosity and interpopulation diversity. The maps of five alleles (HP*1, GC*2, GC*1S, PI*M2, and TF*C2) are shown and analyzed in detail. The genetic relief and structural elements of the maps are compared with the ecumenical trends, main variation patterns of these genes in northern Eurasia, and genetic characteristics of the indigenous populations of the Urals and Europe.     

Genetic predisposition to development of toxic liver cirrhosis caused by alcohol]

Comprehensive analysis of the contribution of genetic factors into predisposition to alcoholic toxic cirrhosis (TC) was performed. The ABO, RH, HP, TF, GC, PI, ACP1, PGM1, ESD, GLO1, and GST1 genetic polymorphisms were compared in 34- to 59-year-old male TC patients and control donors of the same sex and age. The phenotypic frequencies in the TC group deviated from the theoretically expected values; the main difference was the excess of rare homozygotes for the loci GC, ACP1, ESD, and GLO1. In the TC patients, the observed heterozygosity (Ho) was considerably lower than the theoretically expected value (H(e)). Wright's fixation index (F) in the TC patients was 30 times higher than in the control group (0.0888 and 0.0027, respectively). The frequencies of PI*Z and PI*S, the PI alleles that are responsible for lower concentrations of proteinase inhibitor, were 12 and 6 times higher in the TC than in the control group. The TC patients exhibited a significantly higher frequency of the liver glutathione-S-transferase GST1*0 allele, whereas the GST1*2 frequency was two times higher in the control subjects than in the TC patients (0.2522 and 0.0953, respectively). The TC and control groups showed statistically significant differences in the frequencies of the following alleles of six independent loci: ABO*0, TF*C1, TF*C2, PI*M1, PI*Z, ACP1*C, PGM1*1+, PGM1*1-, PGM1*2-, GST1*0, and GST1*2. The haptoglobin level was significantly higher and the serum transferrin level was drastically lower in all phenotypic groups of TC patients than in control subjects. The concentrations of IgM and IgG depended on the HP, GC, and PI phenotypes. The total and direct reacting bilirubin concentrations depended on the erythrocytic-enzyme phenotypes (ACP1, PGM1, and GLO1) in both TC and control groups.     

The use of discrete characters in discriminant analysis for diagnosis of pulmonary tuberculosis and for classification of patients differing in treatment efficiency based on polymorphisms at nine codominant loci-HP,GC, TF,PI, PGM1, GLO1, C3, ACP1 and ESD

Discriminant analysis was used to differentiate patients with pulmonary tuberculosis (N = 106) from healthy individuals (N = 328) and patients whose treatment was efficient (N = 71) from those whose treatment was inefficient (N = 35). The analysis involved the data on nine polymorphic codominant loci: HP, GC, TF, PI, PGM1, GLO1, C3, ACP1, and ESD. The loci were selected by significance of differences in genotype frequencies between tuberculosis patients and healthy controls (GC, TF, PI, C3, ACP1) or between the two groups of patients differing in treatment efficiency (HP, GC, PI, PGM1, C3, ESD). Discrimination was based on a graphic method of Bayes classification procedure with a single-variate nomograph allowing easy estimation of the a posteriori probabilities for an individual to be classified. The two groups of patients proved to be discriminated sufficiently well (probability of misclassification Perr = 0.24), whereas discrimination between tuberculosis patients and healthy individuals was less efficient (Perr = 0.33). The method was proposed as a means of predicting the efficiency of treatment in pulmonary tuberculosis. Along with clinical, roentgenological, and laboratory examination, discriminant analysis may be employed as an accessory test in diagnostics of pulmonary tuberculosis, especially when the diagnosis is questionable.     

Investigations on the variability of four genetic serum protein markers in Poland.

198 unrelated male and female Poles from Ostrów Wielkopolski (Central Poland) and 228 unrelated male and female Kashubes from Ko?cierzyna (Northern Poland) have been typed for four polymorphic serum protein systems: HP, TF, GC, and PI. Phenotype and allele frequencies of all these four polymorphic systems are quite different between Poles and Kashubes. Comparisons with some other Central and East European population samples (Slovaks, Hungarians, Matyos, Gypsies) revealed a considerable genetic heterogeneity among them. Genetic distance analysis showed that Hungarians and Matyos as well as Poles and Slovaks are found in two subclusters, which are linked up to one cluster. Gypsies and especially Kashubes exhibit a distinct position from this cluster. This genetic distance pattern can be explained satisfactorily considering the ethnohistory of the population groups under study.     

Analysis of heterozygosity levels at P1,TF, PGM1, ACP1, HP, GC, GLO, C3, and ESD loci in pulmonary tuberculosis patients with different treatment outcomes]

Heterozygosity at nine genetic loci (PI, TF, PGM1, ACP1, HP, GC, GLO1, C3, and ESD) was analyzed in pulmonary tuberculosis patients with good (group 1, N = 71) and poor (group 2, N = 35) response to treatment. The observed heterozygosities were compared with the expected values, which were calculated from allele frequencies in a control sample of healthy individuals (N = 328 with all but one locus and 78 with ESD) according to Hardy-Weinberg expectations. The analysis showed that the observed heterozygosities gl of patients significantly differed from the expected values hl in the case of four loci (GC, PI, C3, and ACP1). The observed heterozygosity was higher than expected in three cases (PI, C3, and ACP1) and lower then expected (GC) in one case. When data on each individual locus were compared using Fisher's exact test, both groups of patients proved to significantly differ (PF < 0.05) from the control group in the same four loci. No difference in observed heterozygosity was detected between the two groups of patients. The mean expected heterozygosity was h = 0.386 +/- 0.00674; the mean observed heterozygosity was g = 0.415 +/- 0.02 in group 1, g = 0.402 +/- 0.026 in group 2, and g = 0.371 +/- 0.00955 in the control group. The t test did not reveal a significant difference between the mean values of expected observed heterozygosities. Heterozygosity at individual loci, rather than mean heterozygosity, was proposed as an integral nonspecific indicator of the genetic control of a disease, because the former directly implicates individual marker loci in the development of a disorder, whereas effects of individual loci may eliminate each other when mean heterozygosity is computed. Based on the results obtained, a genetic control was assumed for the development of the tuberculosis process in the lungs.     

Distribution of the AB0 Blood Groups and the HP,TF, GC,PI and C3 Serum Proteins in Yakuts

In Yakut populations examined, polymorphisms of immunological and serum protein markers, including AB0 and Rhesus blood groups, HP, TF, GC, PI and C3, were revealed. Gene frequencies for the systems studied fell into the following ranges: AB0 system: r, 0.514 to 0.663; p, 0.136 to 0.306; q, 0.110 to 0.337; haptoglobin HP*1: 0.214 to 0.431; transferrin TF*C: 0.700 to 1.0; group specific component GC*1: 0.821 to 0.978; PI*M1 proteinase inhibitor (or ₁-antitrypsin) PI*M1: 0.860 to 0.946; and third component of the complement C3*F: 0.031 to 0.143.     

Genetic Predisposition to Alcoholic Toxic Cirrhosis

Comprehensive analysis of the contribution of genetic factors into predisposition to alcoholic toxic cirrhosis (TC) was performed. The AB0, RH, HP, TF, GC, PI, ACP1, PGM1, ESD, GLO1, and GST1 genetic polymorphisms were compared in 34- to 59-year-old male TC patients and control donors of the same sex and age. The phenotypic frequencies in the TC group deviated from the theoretically expected values; the main difference was the excess of rare homozygotes for the lociGC, ACP1, ESD, and GLO1.In the TC patients, the observed heterozygosity (H _o) was considerably lower than the theoretically expected value (H _e). Wright's fixation index (F) in the TC patients was 30 times higher than in the control group (0.0888 and 0.0027, respectively). A considerable decrease in the ABO*0allele frequency at the expense of an increase in the ABO*Aallele frequencywas observed in the TC patients as compared to the control sample. The TF*C2allele frequencywas two times higher in the patients than in the control group (0.2571 and 0.1308, respectively). The frequencies ofPI*Zand PI*S, the PIalleles that are responsible for lower concentrations of proteinase inhibitor, were 12 and 6 times higher in the TC than in the control group. The TC patients exhibited a significantly higher frequency of the liver glutathione-S-transferase GST1*0allele, whereas the GST1*2frequency was two times higher in the control subjects than in the TC patients (0.2522 and 0.0953, respectively). The TC and control groups showed statistically significant differences in the frequencies of the following alleles of six independent loci: ABO*0, TF*C1, TF*C2, PI*M1, PI*Z, ACP1*C, PGM1*1+, PGM1*1–, PGM1*2–, GST1*0, andGST1*2. The haptoglobin level was significantly higher and the serum transferrin level was drastically lower in all phenotypic groups of TC patients than in control subjects. The concentrations of IgM and IgG depended on the HP, GC, and PI phenotypes. The total and direct reacting bilirubin concentrations depended on the red cell-enzyme phenotypes (ACP1, PGM1, and GLO1) in both TC and control groups.     

Genogenography of the aboriginal population of Marii El (from data on immunobiochemical polymorphism)

The geographic distribution of the frequencies of genes related to the immunological and biochemical polymorphism was studied in the Maris, who are the indigenous population of the Marii El Republic. Data on the frequencies of 33 alleles of 10 loci (ABO, TF, GC, PI, HP, AHS, F13B, ACP1, PGM1, and GLO1) in five raions (districts) of Marii El were obtained. Computer interpolation maps were constructed for all alleles. The maps allows to predict the distribution of the alleles throughout Marii El. A map of the reliability of the cartographic prediction was drawn. For the first time, the reliability of predicted gene frequencies were taken into account in constructing and interpreting the maps of gene frequencies. For the entire set of the studied genes, parameters of heterozygosity (HS) and gene diversity (GST) were estimated. Cartographic correlation analysis was performed to reveal the relationship between gene frequencies and geographic coordinates. It was found that 42% of the studied genes predominantly correlated with latitude and 9% with longitude. It was assumed that the genetic structure of Mari populations had been mainly determined by latitude-related factors. A map of Nei's genetic distances between the overall Mari gene pool and the local populations revealed a central core, which was close to the "average Mari" gene pool, and a periphery, which was genetically distant from it. Suggestions on the microevolution of the Mari gene pool were advanced. Maps of the genes with the most characteristic genetic relief (ABO*B, ACP*A, TF*D, GC*1F, PI*M2, HP*1F, and F13B*3) are shown. These maps exhibit a high correlation with the maps of principal components.     

Characteristics of the gene pool of the Gagauz population of Moldova]

Population genetic data on Gagauzes from Moldova are reported for the first time. Blood groups AB0 and Rh and biochemical markers of genes HP, TF, GC, and PGM1 were determined in 190 Gagauzes. The following allelic frequencies were determined: AB0*0, 0.5241; AB0*A, 0.3279; RH*d, 0.4571; HP*1, 0.3544; TF*C1, 0.7472; TF*C2, 0.1770; TFC3, 0.0730; TF*B, 0.0028; GC*1F, 0.1025; GC*1S, 0.5932; GC*2, 0.3043; PGM1*1+, 0.5286; PGM*1-, 0.1000; PGM1*2+, 0.2607; and PGM1*2-, 0.1107. The data obtained indicate that the gene pool of Gagauzes is similar to those of neighboring southeastern European populations.     

The dagestan gene pool: Analysis of the frequencies of classical genetic markers in Avars

This study is part of long-term research in the gene pool of Dagestan ethnic groups. The phenotype (in percent), gene, and haplotype frequencies in three Avar populations are reported. A total of 37 alleles of 13 loci of immune and biochemical genetic marker systems (ABO, Rhesus, P, Lewis, HP, GC, C′3, TF, 6PGD, GLO1, ESD, ACP, and PGM1) have been studied. Rare haplotypes of the Rhesus system (CDE, Cde and cdE) have been found in the populations studied. In two out of three local populations (Khunzakh and Kharakhi), a typically “Caucasoid” rare gene ACP1 ^c of the AcP1 locus has proved to be relatively frequent (0.030 and 0.023, respectively). The frequencies of the allele variantsP ² , le, and Hp ¹ of loci of the P, Lewis, and HP systems, respectively, have been found to be lower than in other Caucasian ethnic groups and the total northern Eurasian population. The mean allele frequencies for the GC, C′3, TF, 6PGD, GLO1, and ESD systems in the populations studied are comparable wit those for both Caucasian ethnic groups and the total population of the European historical ethnographic province. Statistical analysis of the results has shown 11 cases of significant deviations of the observed phenotype frequencies from the Hardy-Weinberg equilibrium.     

The gene pool of Belgorod oblast population: the distribution of immunological and biochemical gene markers

The frequencies of 33 alleles of 12 loci of immunological and biochemical gene markers (ABO, RH, HP, GC, TF, PI, C'3, ACP1, GLO1, PGM1, ESD, and 6-PGD) have been estimated in the indigenous Russian and Ukrainian populations of Belgorod oblast. Differences of the Belgorod population from other populations of Russia with respect to the genetic structure have been determined. It has been found that the frequency distributions of all alleles studied in the Belgorod population are similar to those typical of the genetic structure of Caucasoid populations.     

The gene pool of Belgorod oblast population: The distribution of immunological and biochemical gene markers

The frequencies of 33 alleles of 12 loci of immunological and biochemical gene markers (AB0, RH, HP, GC, TF, PI, C′3, ACP1, GLO1, PGM1, ESD, and 6-PGD) have been estimated in the indigenous Russian and Ukrainian populations of Belgorod oblast. Differences of the Belgorod population from other populations of Russia with respect to the genetic structure have been determined. It has been found that the frequency distributions of all alleles studied in the Belgorod population are similar to those typical of the genetic structure of Caucasoid populations.