Isonymic relationships in ethno-social categories (Argentinian colonial period) including illegitimate reproduction

Surnames provide a useful method to study the structure of human populations for which biological data are not available. The isonymic method has had multiple applications, but difficulties emerge when dealing with groups where extramarital reproduction is common and the sample size is small, and even more so when only paternal surnames are taken into account.Therefore, it could be of interest to retain female surnames, including those of unmarried mothers. This study was carried out using all birth records froman Argentinian population in the colonial period, which was characterized by the presence of different ethno-social groups (Spanish, Indian and 'Mestizo'or mixed Spanish-Indian) and various reproductive patterns regarding legitimacy. Coefficient of relationship by isonymy (Ri) kinship matrices between geographical populations were obtained, and the results derived from sets of surnames (paternal, maternal of legitimate and illegitimate children,and all surnames in the registers) compared. The results show similar surname distribution regardless of the set of surnames and group considered.Kinship Ri matrices using paternal surnames, maternal surnames of legitimate children, maternal surnames of illegitimate children, and the set of whole surnames showed the same relationships among populations, indicating a similar pattern for Spanish, Indian and Mixed ethno-social groups. Mantel test correlation between all pairs of matrices was significant in all different ethno-social groups. The results suggest that in populations with high illegitimacy, such as that studied here, it is possible to include maternal surnames, even corresponding to single mothers, in order to consider total reproduction and therefore maximize sample size.     

Comparison of two Venezuelan populations using the coefficient of relationship by isonymy

The coefficient of relationship by isonymy Ri is a good indicator of similarities between and within populations by means of identity of surnames. In this study we present the results of an analysis of Ri obtained using two surnames for each person in two small Venezuelan populations of African origin: Birongo and La Sabana. The analyses of six Ri values within each population in two periods and of sixteen Ri values within each population between two periods and within each period between populations show that the higher values of Ri are those that include combinations of maternal surnames compared with any other combination and that in one period the relationship between Birongo and La Sabana was equal to 0, as measured with combinations of paternal surnames. These facts are indicators of a tendency toward matrifocal behavior and show that the use of four surnames for estimating Ri permits detailed comparisons of the relationship between and within groups.     

Coeficient of relationship (RI) within and between four black venezuelan populations

The coefficient of relationship by isonymy R_i was obteined using paternal and maternal surnames of individuals in four black Venezuelan populations. The analysis of eight R_i values obtained from different combinations of surnames within each population and between population in two periods of time (1900–1920 and 1944–1967) show that: 1) Higher values of R_i are those that include combinations of maternal surnames, 2) R_i values of the second period are higher than those shown in the first, 3) No correlation was observed between R_i values and geographic distance. These results indicate that there is a tendency towards matrilocal behavior and show agreement with the degree of isolation of each population. The use of four surnames for estimating the coefficient of relationship by isonymy R_i, permits better comparisons of the relationship between and within groups and gives detailed information of the population structure.     

Coefficients of relationship by isonymy within and between the regions of Scotland

The distribution of surnames for births, marriages and deaths in 1976 among residents of the 12 Local Government Regions of Scotland was analyzed in terms of the coefficient of relationship by isonymy, Ri. Differences between sexes and events for Ri within Regions were consistent with greater inter-Region mobility among males compared with females and among young adults compared with the elderly. There were near zero correlations of geographical distance with Ri between Regions based on all surnames or common surnames. With Ri based on rare surnames, there was a small though statistically nonsignificant negative correlation. The best-fitting two dimensional relationship derived from Ri values based on rare surnames showed a fair correspondence with the map of Scotland, indicating a degree of genetic isolation between the Regions.     

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.     

Effects of English admixture and geographic distance on anthropometric variation and genetic structure in 19th-century Ireland

The analysis of anthropometric data often allows investigation of patterns of genetic structure in historical populations. This paper focuses on interpopulational anthropometric variation in seven populations in Ireland using data collected in the 1890s. The seven populations were located within a 120-km range along the west coast of Ireland and include islands and mainland isolates. Two of the populations (the Aran Islands and Inishbofin) have a known history of English admixture in earlier centuries. Ten anthropometric measures (head length, breadth, and height; nose length and breadth; bizygomatic and bigonial breadth; stature; hand length; and forearm length) on 259 adult Irish males were analyzed following age adjustment. Discriminant and canonical variates analysis were used to determine the degree and pattern of among-group variation. Mahalanobis' distance measure, D2, was computed between each pair of populations and compared to distance measures based on geographic distance and English admixture (a binary measure indicating whether either of a pair of populations had historical indications of admixture). In addition, surname frequencies were used to construct distance measures based on random isonymy. Correlations were computed between distance measures, and their probabilities were derived using the Mantel matrix permutation method. English admixture has the greatest effect on anthropometric variation among these populations, followed by geographic distance. The correlation between anthropometric distance and geographic distance is not significant (r = -0.081, P = .590), but the correlation of admixture and anthropometric distance is significant (r = 0.829, P = .047). When the two admixed populations are removed from the analysis the correlation between geographic and anthropometric distance becomes significant (r = 0.718, P = .025). Isonymy distance shows a significant correlation with geographic distance (r = 0.425, P = .046) but not with admixture distance (r = -0.052, P = .524). The fact that anthropometrics show past patterns of gene flow and surnames do not reflects the greater impact of stochastic processes on surnames, along with the continued extinction of surnames. This study shows that 1) anthropometrics can be extremely useful in assessing population structure and history, 2) differential gene flow into populations can have a major impact on local genetic structure, and 3) microevolutionary processes can have different effects on biological characters and surnames.     

Surnames in the Study of Human Biology

Use of surname analysis in human population biology depends on surnames being inherited like genes. In societies that meet this condition, communities with a few surnames at high frequency are the more inbred ones, and marriages between persons of the same surname can be used to estimate rates of inbreeding. Furthermore, the degree of commonality of the surnames of two communities estimates their biological relationship provided that any two persons of the same surname derived it from a common ancestor and that virilocal and uxorilocal migration is equal. Although the assumptions are only partially met, the surname method yields results which correlate with the amount of marital migration and with geographical and historical features. Rare surnames meet the assumptions better than common ones. Documents, both old and new, yield surnames of large numbers of people which can easily be analyzed to show the cumulative effect of marital migration since the establishment of surnames (in England in the Middle Ages). Surnames thus serve to delineate the breeding structure of some human populations over a longer span of time than is usually possible with pedigrees, over a more definite span of time than in genetic studies, and more easily in broad surveys than alternative methods . [isonymy, surnames, inbreeding, coefficient of relationship, England]     

Medico-genetic study of the Kostroma Region population. VIII. Genetic structure of large subdivided populations and its relation with the incidence of autosomal-recessive pathology

FST was estimated for 67 communities and 6 small towns of Kostroma province. The mean FST value for rural and urban populations was (0.83 +/- 0.08).10(-3) and (0.29 +/- 0.07).10(-3), respectively. The connection between FST values and the load of autosomal-recessive disorders was established; the coefficient of correlation (by Chuprov) was 0.34 (chi 2 = 8.45; P less than 0.05). The matrices of genetic distances for two groups of districts of Kostroma province, based on surnames frequencies, were calculated. Dendrogramms were constructed using genetic distances, which reflect the degree of genetical similarity of the populations. The conclusion drawn from the analysis of these dendrogramms is that there is distinct isolation by distance in populations of Kostroma province. It is shown that genetical subdivision of populations is dependent on geographical and some other factors and on the load of autosomal-recessive pathology in the population.     

Interpopulation relationship by isonymy: application to ethnosocial groups and illegitimacy

The application of the isonymic method to establish interpopulation relationships is made difficult by such factors as: (1) a small population size; (2) the subdivision of the population into ethnosocial groups; and (3) the existence of individuals born extramaritally. The present study analyzes the validity of the isonymy method in populations where such difficulties exist. Lasker's R(ij) relationship coefficients were calculated in base to marital records from six Pocho parishes (Argentina) for the period 1766 to 1840. Three endogamous ethnosocial groups were considered-Spanish, American Indians, "Mestizos"--and a fourth group combining mates of the three previous groups. For each ethnosocial category, and taking into account paternal surnames, maternal surnames (both for legitimate and illegitimate mates), and whole surnames merged, R(i) interparish relationship matrices were obtained. All these matrices were correlated by means of the Mantel test. Maternal surnames of illegitimate mates show a similar pattern to the maternal surnames of legitimate mates and to all surnames of each category. Groups with larger sample size in every parish intercorrelate regardless of ethnosocial category. Results suggest the convenience of maximizing the sample size and using maternal surnames in populations with high illegitimacy.     

Distribution of surnames and identities in the Cimbro-Mòcheno communities of Italy

The surnames of populations of the municipalities with Cimbro and Mòcheno origins are compared with each other and with other municipalities of the neighbourhood. This study starts from the supposition that a community of surnames shares a common cultural origin, maintained by reciprocal mobility. The analysis has been carried out by using estimates of the similarities between populations, the topological representations obtained by them and the spatial autocorrelation. On the whole, this research shows no evidence of peculiar distinctions between the populations that share Cimbro and Mòcheno origins compared to the neighbouring ones. Moreover, there is not any evident process of undifferentiated diffusion along all the directions. On the contrary, it is emphasized that belonging to the same geographic region and to the same administrative subdivision mostly influences the similarity between populations. The exception is the Cimbro municipality of Luserna, which presents a peculiar structure of surnames different from other municipalities of the same territory.     

Surname distributions and their association with Y-chromosome markers in the Aleutian Islands

We examine surname distribution, origin, and association with Y-chromosome haplogroups in native communities from the Aleutian archipelago. The underlying hypothesis is that surnames and Y-chromosome haplogroups should be associated because both are paternally inherited markers. We used Lasker's coefficient of relationship through isonymy (R(ib) ) to identify the distribution of 143 surnames in the Aleutian Islands. The geographic distribution of surnames was explored both through frequency distribution and through the use of Mantel tests. Multidimensional scaling, chi-square, and Mantel tests were used to examine the relationship between surname and Y-chromosome markers. Overall, we observed that the distribution of surnames in the Aleutian archipelago is culturally driven rather than being one of paternal inheritance. Surnames follow a gradient from east to west, with high frequencies of Russian surnames found in western Aleut communities and high levels of non-Russian surnames found in eastern Aleut communities. A nonsignificant correlation (r = -0.0132; P = 0.436) was found between distance matrices based on haplogroups of the nonrecombining portion of the Y chromosome and surnames, although an association was found between non-Russian surnames and the predominantly non-Russian haplogroups (R1b, I1a, and I).     

Genogeographic analysis of a subdivided population. II. Geography of random inbreeding (from frequency of surnames in Adygs)

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.     

Namesakes or relatives? Approaches to investigating the relationship between Y chromosome haplogroups and surnames

Population genetics successfully applies surnames as quasi-genetic markers when estimating similarity between populations and calculating the level of random inbreeding. These calculations are based on the isonymy coefficient, which assumes that every surname is monophyletic, i.e., it originated from a 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. This study discusses approaches to statistical evaluation of Y chromosome haplogroup frequencies in groups of people bearing the same surname (namesakes). The proposed index of accumulated haplogroup frequency eliminates the artifactual effect of a randomly increased haplogroup frequency in namesakes by subtracting its population (expected) frequency from the observed value, while the expected frequency is calculated as the weighted average of the frequencies of this haplogroup in the populations where the surname carriers come from. From the total sample (comprising 1244 persons from 13 populations of the historical Russian area), 123 individuals carrying 14 most frequent surnames were chosen. A comparison of the haplogroup frequencies in these 14 namesake groups and in 14 respective population control groups compiled from the total sample showed that accumulation of certain Y chromosome haplogroups was nonrandom even in carriers of widespread surnames. An analysis of Y-STR haplotypes rather than Y-SNP haplogroups could provide a better insight into relationships between namesakes and will be the subject of further research.     

Relationship between 17 Venezuelan counties estimated through communality of surnames

The coefficients of relationship and the Euclidean distances between 17 Venezuelan counties were estimated based on the frequency distribution of surnames obtained from the 1984 Venezuelan register of electors. In general, the coefficients of relationship between counties within the same state were higher than those between counties from different states. Euclidean distances exhibited the opposite relationship. Spearman's correlation coefficients for 136 pairs of counties were estimated between geographic and Euclidean distances (r = 0.41), geographic distance and coefficient of relationship (r = -0.44) and between Euclidean distance and coefficient of relationship (r = -0.48). The effect of partial geographic isolation on the frequency distribution of surnames is shown in the State of Falcón, where an isthmus separates two counties of the peninsula from two others on the mainland, and in Mérida, where the Venezuelan Andes separates three counties from the rest of the country. Our results suggest that Euclidean distances are less influenced by common surnames than the coefficients of relationship. They also indicate that in Venezuela a high proportion of the population has remained sedentary until recently, and this gives rise to the focal distribution of some surnames.     

Examining population structure through the use of surname matrices: methodology for visualizing nonrandom mating

The analysis of nonrandom mating using the frequency of marital isonymy indirectly measures the degree of population structure. However, population structure is the result of all matings in a population. Difficulties with large surname matrices have resulted in data being summarized into a single statistic or collapsed into brief tables, with considerable loss of information. By using sophisticated computer graphing procedures and displays, it is possible to directly analyze the mating structure of a community. If P is a vector of proportions for each male surname i (i = 1, 2, 3, ..., n), Q a similar vector of female surnames j(j = 1, 2, 3, ...,m), then the expected frequency matrix E of each possible mating is P x Q. The difference D between the observed frequency matrix O and the expected matrix is O-E. The D matrix is graphed with the x axis containing the male surnames, the y axis the female surnames, and the z axis the difference values dij. Negative values represent negative nonrandom mating and positive values positive nonrandom mating. From 5417 marriages (1840-1963) in the Midlands of Tasmania, those between spouses having 1 of 194 core names were extracted. We analyze these marriages utilizing the new technique and examine the surface of the graph and statistical analysis of its finer structure. Among the results was the demonstration of frequency-dependent selection of surnames. This finding has significant implications for microevolution of human populations, as surnames have existed for possibly 700 years.     

The gene pool of the Belgorod oblast population: Description of the “genetic landscape” of 22 district populations

Data on the frequencies of all (50412) surnames in a total population of 849399 people have been treated by various methods of multivariate statistics (cluster analysis, multidimensional scaling, and factor analysis) to show that 22 district populations of the Central Chernozem region of Russia form a definite, ordered system of population groups. All raions (administrative districts) of Belgorod oblast (administrative region) have been grouped into four clusters corresponding to the actual geographic locations of the populations. Districts of the eastern cluster are characterized by very specific spectrum and frequencies of surnames; districts of the western cluster differ in a high proportion of Ukrainian surnames     

The gene pool of the Belgorod region population: I. Differentiation of all district populations based on anthroponymic data

The gene pool of the entire population of all the 21 raions (districts) of the Belgorod oblast (region) has been studied using anthroponymic data. Considerable geographic variations of the number of surnames and the degree of population subdivision (0.00003 < f(r)* < 0.00125) in the 21 districts have been demonstrated. Districts with low population subdivision levels are mainly located in the central and southwestern raions of the Belgorod oblast, contain an urbanized area (city), and border on Ukraine (they are characterized by a considerable Ukrainian immigration). Urbanization significantly affects the population structure of the Belgorod oblast. In urbanized districts, rural populations lack the relationships between the population size, number of surnames, and population subdivision level (f(r)).