[Namesakes or relatives? Approaches to investigating the relationship between Y chromosomal haplogroups and surnames].

Population genetics successfully applies surnames as quasi-genetic markers when estimating similarity between populations and calculating a measure of random inbreeding. These calculations are based on an isonomy coefficient which assumes that every surname is monophyletic: that it originated from single common ancestor and all namesakes are therefore relatives. On the other hand, there is a general opinion that a typical Russian surname is polyphyletic: it originated multiple times and most namesakes are therefore not related to each other. Combined studies of Y chromosomes and surnames now allow us to address this issue. In this study, we discuss approaches for statistical evaluation of Y chromosomal haplogroup frequencies in groups of people bearing the same surname (namesakes). We propose an 'Index of Accumulated Haplogroup Frequency', which allows for errors due to random (artifactual) effects increasing a haplogroup frequency in a group of namesakes by subtracting the population frequency of this haplogroup. This population frequency is calculated as the weighted average of the frequencies of this haplogroup in the populations that the carriers of this surname come from. Fom the total sample (comprising 1244 persons from 13 populations of the historical Russian area) we chose 123 persons carrying 14 surnames which were the most frequent in the total sample. Haplogroup frequencies in these 14 "surname" groups were compared with the respective 14 "population" control groups compiled from the total sample as described above. We found that even these widespread surnames exhibit non-random accumulation of specific Y chromosomal haplogroups. More detailed analyses of the relationships between namesakes could be carried out using Y-STR haplotypes rather than Y-SNP haplogroups, and will be the subject of a future study.

[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.

[The Russian gene pool: gene geography of Alu-insertions (ACE, APOA1, B65, PV92 TPA25)].

The analysis of five Alu insertion loci (ACE, AP4OA1, B65, PV92, TPA25) has been carried out for the first time in 10 Russian populations (1088 individuals), covered all parts of historical area of the Russian ethnos. Depending on locus, Russian populations exhibit similarity with their western (European populations) or with the eastern (populations of the Ural region) neighbors. Considering frequencies of the studied Alu-insertions, Russian gene pool exhibits low variation: average difference between populations is d = 0.007, whereas on classical markers, mtDNA and Y chromosome heterogeneity of Russian gene pool is essentially higher (0.013, 0.033 and 0.142 respectively). Therefore, this set of five Alu insertions has lower variability on the intra-ethnic level. However in inter-ethnic comparisons the clear pattern was obtained: 13 Eastern European ethnic groups formed three clusters, according with their historical and geographical position--East Slavic, Caucasian and South Ural clusters. The obtained data confirms efficiency of using Alu insertions for studying genetic differentiation and history of a gene pool of the Eastern European populations.

[The Russian gene pool. Genogeography of serum genetic markers (HP, GC, PI, TF)]. / Russkii genofond. Genografiia syvorotochnykh gennykh markerov (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.

[The Russian gene pool. Genogeography of erythrocyte genetic markers (ACP1, PGM1, ESD, GLO1, 6-PGD)]. / Russkii genofond. Genografiia éritrotsitarnykh gennykh markerov (ACP1, PGM1, ESD, GLO1, 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, and 6-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.

[Russian genofond. Genogeography of surnames]. / Russkii genofond. Genogeografiia familii.

Surnames are traditionally used in population genetics as "quasi-genetic" markers (i.e., analogs of genes) when studying the structure of the gene pool and the factors of its microevolution. In this study, spatial variation of Russian surnames was analyzed with the use of computer-based gene geography. Gene geography of surnames was demonstrated to be promising for population studies on the total Russian gene pool. Frequencies of surnames were studied in 64 sel'sovets (rural communities; a total of 33 thousand persons) of 52 raions (districts) of 22 oblasts (regions) of the European part of Russia. For each of 75 widespread surnames, an electronic map of its frequency was constructed. Summary maps of principal components were drawn based on all maps of individual surnames. The first 5 of 75 principal components accounted for half of the total variance, which indicates high resolving power of surnames. The map of the first principal component exhibits a trend directed from the northwestern to the eastern regions of the area studied. The trend of the second component was directed from the southwestern to the northern regions of the area studied, i.e., it was close to latitudinal. This trend almost coincided with the latitudinal trend of principal components for three sets of data (genetic, anthropological, and dermatoglyphical). Therefore, the latitudinal trend may be considered the main direction of variation of the Russian gene pool. The similarity between the main scenarios for the genetic and quasi-genetic markers demonstrates the effectiveness of the use of surnames for analysis of the Russian gene pool. In view of the dispute between R. Sokal and L.L. Cavalli-Sforza about the effects of false correlations, the maps of principal components of Russian surnames were constructed by two methods: through analysis of maps and through direct analysis of original data on the frequencies of surnames. An almost complete coincidence of these maps (correlation coefficient rho = 0.96) indicates that, taking into account the reliability of the data, the resultant maps of principal components have no errors of false correlations.

[The Russian gene pool. Frequency of genetic markers]. / Russkii genofond. Chastoty geneticheskikh markerov.

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. In addition, Y-chromosomal short tandem repeats (STRs) DYS19, DYS390, and YCAII were 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.

[Genogeographic analysis of a subdivided population. II. Geography of random inbreeding (from frequency of surnames in Adygs)]. / Genogeograficheskii analiz podrazdelennoi populiatsii. II. Geografiia sluchainogo inbridinga (po chastotam familii u Adygov).

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.

[Genogeographic analysis of subdivided population. The Adyge gene pool in the Caucasian gene pool system]. / Genogeograficheskii analiz podrazdelennoi populiatsii. Genofond Adygov v sisteme Kavkazskikh genofondov.

A gene geographic analysis of the indigenous population of the Caucasian historical cultural province was carried out with a set of genetic markers extensively studied in the Adyges (39 alleles of 18 loci): AB0, ACP, C3, FY, GC, GLO, HP, KEL, LEW, MN, MNS, P, PGD, PGM1, RH-C, RH-D, RH-E, and TF. Genetic information on 160 Caucasian populations was used (on average, 65 populations per locus). A synthetic map of the first principal component clearly showed a division into two gene geographic provinces: Northern Caucasus and Transcaucasia. The component significantly differed across the Greater Caucasian Ridge. One of the major regions of extreme values corresponded to the Adyge region. A map of the second component revealed two poles, Northwestern (the Adyges) and Caspian, in gene pool variation of the Caucasian population. The analysis of the maps and the space of principal components showed that the Adyge population is an important component of the Caucasian gene pool. A map of genetic distance from all Caucasian populations to the Adyges showed that the north Caucasian populations (excluding the Ossetes) are the most genetically similar to the Adyges, while Georgians from the Kolkhida Valley and Azerbaijanians from the lowlands near the Caspian Sea and highland steppes are the most genetically remote from the Adyges. The genetic diversity (GST x 10(2)) of the entire Caucasian gene pool was studied. The average diversity of subpopulation within a Caucasian ethnos was GS-E = 0.81, the diversity of ethnoses within a linguistic family was GE-L = 0.83, and the diversity of linguistic families was GL-T = 0.58. The race classification of the Caucasian populations (GS-E = 0.81, GS-R = 0.80, GR-T = 0.76) proved to be more genetically informative than the linguistic one. The major parameters of the Adyges (total diversity HT = 0.364, heterozygosity HS = 0.361, and subpopulation diversity within the ethnos GS-E = 0.69) were similar to those averaged over the entire Caucasian population. A comparison with the same set of genetic markers showed that the interethnic diversity in the Caucasian region was lower than in the other north Eurasian regions (GS-E was 1.24 in the European region, 1.42 in the Ural region, 1.27 in Middle Asia, and 3.85 in Siberia).

["Synthetic" maps of the Mari gene pool (from immunobiochemical polymorphism data)]. / "Sinteticheskie" karty genofonda Mari (po dannym ob immunobiokhimiheskom polimorfizme).

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.

[Genogeographic primary hypolactasia in the Old World populations]. / Genogeografiia pervichnoi gipolaktazii v populiatsiiakh Starogo Sveta.

The geographic distribution of primary hypolactasia (i.e., the genetically determined (LAC*R), age-dependent decrease in lactase activity, which is phenotypically expressed as the intolerance to whole milk), was studied. Data on the distribution of primary hypolactasia and the LAC*R gene frequencies in populations of the Old World are analyzed, with special emphasis on LAC*R distribution in Russia. New data on populations of Kildin Saamis, Mordovian ethnic groups (Mokshas and Erzyas), Udmurtians, Komi-Permiaks, Komi-Zyrians (Komi-Izhem ethnographic group), Northern (Sos'va) Mansis, Northern Khantys, and Russians are described. Gene geographic maps of the LAC*R gene's distribution in populations of the Old World, Europe, and the Ural region were constructed. A map reflecting the amount of the original information on different regions and, therefore, the reliability of the gene geographic maps, is given. In Europe, the interpopulation diversity Gst of the LAC*R gene was significantly higher (0.169) than the average diversity of the European gene pool. The high variation was assumed to result from a potent differentiating selection that affects the gene for primary hypolactasia.

[Genogenography of the aboriginal population of Marii El (from data on immunobiochemical polymorphism)]. / Genogeografiia korennogo naseleniia Marii El (po dannym ob immunobiokhimicheskom polimorfizme).

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.