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.     

Analysis of Heterozygosity at the PI, TF, PGM1, ACP1, HP, GC, GLO1, C3, and ESDLoci in Pulmonary Tuberculosis Patients Differing in Response to Treatment

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 g _l of patients significantly differed from the expected values h _lin 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 (P _F< 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 ttest 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.     

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.     

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.     

Material for Studying the Gene Pools of Russia and Neighboring Countries: The Russian Population of the Pskov Oblast

The distributions of the genes and haplotypes for blood groups AB0, MN, Rhesus, P1, Lewis, and Kell–Cellano and biochemical markers of the genes of loci HP, GC, C"3, TF, 6PGD, GLO1, ESD, ACP1, and PGM1(including subtypes) were studied in 116 Russian subjects born in the Pskov oblast. Differences of this group from other Russian populations with respect to genetic structure were found.     

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 Russian Gene Pool: Frequencies of Genetic Markers

Frequency distribution of several genetic markers was studied in ethnic Russians from the Moscow, Bryansk, Ryazan', Kostroma, Novgorod, Arkhangel'sk, and Sverdlovsk oblasts and Udmurtiya. Systems AB0, RH, HP, TF, GC, PI, C"3, ACP1, PGM1, ESD, GLO1, 6PGD, and AK were analyzed in most samples. New data on informative polymorphic genetic loci showed that the Russian gene pool mostly displays Caucasoid features. Some data on polymorphism of nuclear genome loci are presented. In addition, Y-chromosomal short tandem repeats (STRs) DYS19, DYS390, and DYCAIIwere analyzed in the Russian samples. STRs of the chromosome are particularly valuable for elucidating ethnogenetic processes in Eastern Europe. Frequency distributions of the Y-chromosomal markers in Russians were intermediate between those of West European populations and eastern Finno-Ugric ethnoses of the Volga region. A marked longitudinal gradient was revealed for frequencies of several molecular markers.     

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.     

The gene pool of Belgorod oblast population: study of biochemical gene markers in populations of Ukraine and Belarus and the position of the Belgorod population in the Eastern Slavic gene pool system

The characteristics of the gene pools of indigenous populations of Ukraine and Belarus have been studied using 28 alleles of 10 loci of biochemical gene markers (HP, GC, TF, PI, C'3, ACP1, GLO1, PGM1, ESD, and 6-PGD). The gene pools of the Russian and Ukrainian indigenous populations of Belgorod oblast (Russia) and the indigenous populations of Ukraine and Belarus have been compared. Cluster analysis, multidimensional scaling, and factor analysis of the obtained data have been used to determine the position of the Belgorod population gene pool in the Eastern Slavic gene pool system.     

The gene pool of Belgorod oblast population: Study of biochemical gene markers in populations of Ukraine and Belarus and the position of the Belgorod population in the Eastern Slavic gene pool system

The characteristics of the gene pools of indigenous populations of Ukraine and Belarus have been studied using 28 alleles of 10 loci of biochemical gene markers (HP, GC, TF, PI, C′3, ACP1, GLO1, PGM1, ESD, and 6-PGD). The gene pools of the Russian and Ukrainian indigenous populations of Belgorod oblast (Russia) and the indigenous populations of Ukraine and Belarus have been compared. Cluster analysis, multidimensional scaling, and factor analysis of the obtained data have been used to determine the position of the Belgorod population gene pool in the Eastern Slavic gene pool system.     

The Russian Gene Pool: Gene Geography of Erythrocytic Gene Markers (ACP1,PGM1,ESD,GLO1, and 6-PGD)

The study continues the series of works on the Russian gene pool. Gene geographic analysis of five erythrocytic gene markers best studied in the Russian population (ACP1, PGM1, ESD, GLO1, and6-PGD) has been performed. Gene-geographic electronic maps have been constructed for 13 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 eight alleles (ACP1*A, ACP1*C, PGM1*2+, PGM1*2–, PGM1*1–, ESD*1, GLO1*1, and PGD*C) 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.     

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.     

Ethnogenetics of Yakuts from Three Regions of Republic' of Sakha (Yakutia) Inferred from the Frequencies of Biochemical Gene Markers

Comparative data on the distribution of immunological markers (AB0 and RH), serum proteins (HP, TF, GC, PI, and C3), and red cell enzymes (PGM1, ACP1, ESD, and GLO1) polymorphisms in Yakut populations from three regions of the Republic are presented. Close genetic affinities of Yakuts to Altaians, Mongols, and Buryats along with their notable difference from Evenks, Evens, and Chukchi were demonstrated.     

Ethnogenetics of yakuts from three regions of Republic of Sakha (Yakutia) inferred from the frequencies of biochemical gene markers

Comparative data on the distribution of immunological markers (AB0 and RH), serum proteins (HP, TF, GC, PI, and C3), and red cell enzymes (PGM1, ACP1, ESD, and GLO1) polymorphisms in Yakut populations from three regions of the Republic are presented. Close genetic affinities of Yakuts to Altaians, Mongols, and Buryats along with their notable difference from Evenks, Evens, and Chukchi were demonstrated.     

An ecogenetic approach to studying the adaptation and human health]

Genetic markers--blood groups ABO, RH, MN; serum proteins HP, PI, TF, C3; erythrocyte enzymes ACP1, ESD, AK1, PGM1, GLO1, PGD, PGP; and the other: PTC-tasting, ear wax types and color vision, were studied in two aboriginal Buryatian populations of Baikal Lake region: in Chitinskaya and Irkutskaya Provinces. Two samples were further divided into subgroups, according to their health status: "healthy", "indefinite" and "sick" by means of special regression procedure. The "healthy" subgroup of the Chitinskaya Province population is characterized by higher frequencies of PTC-tasters: 0.871 vs. 0.757 in the "sick" part (chi 2 = 5.36, p less than 0.05); higher frequency of the phenotype PI M1M1: 0.734 in "healthy" vs. 0.547 in "sick" (chi 2 = 8.89, p less than 0.01); also, lower frequency of the PI M1M2 phenotype: 0.148 and 0.299, respectively (chi 2 = 7.49, p less than 0.01); the frequencies of the phenotype TF C2C2 are: 0.015 and 0.076 (chi 2 = 5.48, p less than 0.05). In Irkutskaya Province population differences between "healthy" and "sick" subgroups were discovered for blood group AB: "healthy" 0.046 and "sick"--0.175 (chi 2 = 11.28, p less than 0.010); for GC (1F-2)--0.214 and 0.116 (chi 2 = 4.45, p less than 0.05). Some other differences between "healthy" and "sick" in both populations are not significant. Some trends concerning heterozygosity in loci--GC, PGM, TF were discovered. The results are considered from the viewpoint of higher fitness of some genetic traits in the populations studied.     

Genetic structure of a Sakha population from Siberia and ethnic affinities

The red cell enzymes ACP1, ESD, GLO1, PGM1 and RDS and the serum proteins GC, HP, PI, and TF were determined for samples of 150 and 144 Sakha, respectively. The Sakha, a Turkic-speaking population, inhabit the Sakha-Yakutia Republic in northeastern Siberia. High gene frequencies were found for ACP1*A, GLO1*1 and GC*1F, whereas no P1*S or P1*Z alleles were found. In addition, 1 heterozygous phenotype with ACP1*C and 2 heterozygous phenotypes with ESD*7 were found. The genetic distance measures show close affinities of the Sakha population to Buryats (especially Western Buryats), Mongols, and Evenks, whereas the genetic distance to Turkic-speaking Altay and Tuvan populations is great.     

The Dagestan gene pool: Polymorphism of immunogenetic and biochemical markers in Kumyks

This study is a part of long-term investigations devoted to the analysis of the gene pool of Dagestan ethnic groups. The phenotype (in %), gene, and haplotype frequencies in Kumyk ethnic group are reported. A total of 39 alleles and six haplotypes of 14 loci (AB0, Rhesus, P, Levis, Kell, HP, GC, C’3, TF, 6PGD, GLO1, ESD, ACP, and PGM1) of immunobiochemical genetic marker systems were examined. Rare haplotypes of the Rhesus system were identified, including CDE in the Karabudakhkent population with the frequency of 0.030, and Cde and cdE in the Dorgeli population with the frequencies of 0.034 and 0.38, respectively. Similarly to the other ethnic populations of Dagestan examined, Kukyk populations carried rare, albeit typically “Caucasoid” gene ACP1 ^c of the AcP1 locus. The frequency of this allele in the two populations was similar, constituting 0.031 for Karabudakhkent and 0.032 for Dorgeli. In Kumyks, allele frequencies of the AB0, Rhesus, P, Lewis, Kell, HP, GC, C′3, TF, 6PGD, GLO1, ESD, ACP, but not PGM1, systems were similar to the mean allele frequencies at these loci observed in the other ethnic groups from the Dagestan, Caucasus, and the whole European historical ethnographic province. At the same time, the allele frequency values obtained were different from those for the populations of Kazakhstan, Central Asia, Siberia, and the Ruswsian Far East. Thus, the results obtained for classical genetic markers indicate that Kumyks are genetically closer to the indigenous populations of Dagestan than to Turkic-speaking populations. Analysis of the fit of the observed phenotype frequencies to the Hardy-Weinberg expectations showed that compared to other indigenous populations of Dagestan examined, in Kumyks the genetic state of the population upon random allele association was close to equilibrium. Probably, this state was determined by practical absence of the consanguineous marriages upon preservation of intra-aul endogamy.     

Genetic serum protein markers (HP,GC, TF,PI) in four Turkish population samples

Four population samples from different regions of Turkey (Thracia, Karadeniz Bölgesi, West Anatolia and East Anatolia) with a total of 338 individuals have been typed for haptoglobin (HP) and for group specific component (GC), transferrin (TF) and alpha₁-antitrypsin (PI) subtype polymorphisms. The allele frequencies show some regional differences, which, however, are statistically insignificant. In general the Turkish HP, GC, TF and PI allele frequencies do not differ obviously from those observed in other populations of Caucasoid origin.     

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.     

Red cell enzyme and serum protein polymorphisms in South Korea

Two population groups in South Korea, one from Kwangju and one from Kangreung, were studied in regard to the erythrocyte enzyme polymorphisms GPT, ACP, GLO, ESD, 6PGD, ADA, AK, PGP and subtypes of PGM1 as well as regarding the serum protein variants of C3, HP, BF, PLG, AMY and the subtypes of GC, TF and PI. The results were compared with data of the population groups from the area of Cheju Island, Taejon and Seoul. The Korean population showed a rather high degree of genetic homogeneity.