Polymorphisms at locus D1S80 and other hypervariable regions in the analysis of Eastern European ethnic group relationships

Background: It has been hypothesized that, whereas many loci are used to generate phylogenetic relationships, the utilization of those that yield the most information could increase the accuracy of any multilocus phylogenetic reconstruction. Among these is the D1S80 hypervariable minisatellite region, which has been shown to be highly polymorphic globally, and it was of interest to compare the nearest neighbours and distant populations of Eastern Europe using the D1S80 polymorphism.

Aim: The study evaluated the capacity of the D1S80 locus to discriminate between populations from different ethnic groups in Russia and the Republic of Belarus, revealing the polymorphism parameters of the populations studied.

Subjects and methods: Hypervariable D1S80 minisatellite polymorphism was studied in 15 populations, belonging to six distinct ethnic groups from the Russian Federation (Russians, Komis, Maris, Udmurts, Kalmyks, and Yakuts) and the Republic of Belarus (Byelorussians). The data were analysed with other results reported for D1S80 polymorphism among Eastern Europeans, and were analysed together with those previously reported for Eastern European populations for the 3′ApoB, DMPK, DRPLA, and SCA1 hypervariable loci. Genetic diversity analysis was carried out using multidimensional scaling (MDS) of Nei's genetic distances.

Results: The Eastern Slavonic populations (Russians, Ukrainians, and Byelorussians) are closely associated, and outermost from populations of Asian origin (Kalmyks and Yakuts). The populations that inhabit the Volga–Ural region (Udmurt, Komi, Mari, and Bashkir ethnic groups) revealed intermediate characteristics.

Conclusion: The clustering of populations demonstrated here using D1S80 alone coincides with the analysis of five hypervariable region (HVR) loci, and is consistent with linguistic, geographic, and ethnohistorical data. These results are in agreement with most studies of mtDNA, Y-chromosomal, and autosomal DNA diversity in Eastern Europe. The D1S80 locus is convenient for population analyses, and may be used as part of a set of similar markers, which should allow the easy resolution of small differences in population structures.     

Polymorphisms at locus D1S80 and other hypervariable regions in the analysis of Eastern European ethnic group relationships

BACKGROUND: It has been hypothesized that, whereas many loci are used to generate phylogenetic relationships, the utilization of those that yield the most information could increase the accuracy of any multilocus phylogenetic reconstruction. Among these is the D1S80 hypervariable minisatellite region, which has been shown to be highly polymorphic globally, and it was of interest to compare the nearest neighbours and distant populations of Eastern Europe using the D1S80 polymorphism. AIM: The study evaluated the capacity of the D1S80 locus to discriminate between populations from different ethnic groups in Russia and the Republic of Belarus, revealing the polymorphism parameters of the populations studied. SUBJECTS AND METHODS: Hypervariable D1S80 minisatellite polymorphism was studied in 15 populations, belonging to six distinct ethnic groups from the Russian Federation (Russians, Komis, Maris, Udmurts, Kalmyks, and Yakuts) and the Republic of Belarus (Byelorussians). The data were analysed with other results reported for D1S80 polymorphism among Eastern Europeans, and were analysed together with those previously reported for Eastern European populations for the 3'ApoB, DMPK, DRPLA, and SCA1 hypervariable loci. Genetic diversity analysis was carried out using multidimensional scaling (MDS) of Nei's genetic distances. RESULTS: The Eastern Slavonic populations (Russians, Ukrainians, and Byelorussians) are closely associated, and outermost from populations of Asian origin (Kalmyks and Yakuts). The populations that inhabit the Volga-Ural region (Udmurt, Komi, Mari, and Bashkir ethnic groups) revealed intermediate characteristics. CONCLUSION: The clustering of populations demonstrated here using D1S80 alone coincides with the analysis of five hypervariable region (HVR) loci, and is consistent with linguistic, geographic, and ethnohistorical data. These results are in agreement with most studies of mtDNA, Y-chromosomal, and autosomal DNA diversity in Eastern Europe. The D1S80 locus is convenient for population analyses, and may be used as part of a set of similar markers, which should allow the easy resolution of small differences in population structures.     

Structural analysis of the minisatellite present at the 3' end of the human apolipoprotein B gene: new definition of the alleles and evolutionary implications

The internal structure of different alleles of the minisatellite present at the 3' end of the apolipoprotein B (ApoB) gene has been analysed by different approaches including sequencing. The repeat unit arrangements of the minisatellite on 570 chromosomes belonging to European and African populations were thus determined. It was possible to group the alleles using this structural criterion much more clearly than by the number of repeat units which can in some cases be misleading in case-control genetic epidemiological studies using such DNA sequences as markers. We were thus able to define five types (a to e) of alleles and their subtypes and to recognize clearly those which are, respectively, specific of the African and Caucasian populations. A phylogeny of the different alleles found in all human populations could also be deduced by this approach. The different putative mutational events leading from one type, or subtype, to the other were simply determined as point mutations, expansion/contraction and conversion events. Sequencing of one chimpanzee's allele suggested that the ApoB minisatellite was present before divergence between great apes and humans. It was determined also that a particular ApoB gene haplotype was in linkage disequilibrium with the minisatellite (a) type of alleles. This and the observation that the potential scaffold attachment regions (SAR) and topoisomerase II binding sites present in this minisatellite have a different distribution between the Caucasian and the African specific alleles suggest that the minisatellite could be involved in the epidemiology of coronary diseases.      

Regional differences in the genetic variability of Finno-Ugric speaking Komi populations.

The Komi (Komi-Zyryan) people are one of the most numerous ethnic groups belonging to the Finno-Ugric linguistic community. They occupy an extensive territory in north Russia to the west of the Ural Mountains, in the northeast of the East European Plain. This is an area of long-term interactions between Europeans and North Asians. Genetic variability was evaluated in two geographically distinct populations, the Izhemski and Priluzski Komi. We searched for polymorphisms of the TP53 gene (a 16-bp duplication in intron 3 and three RFLPs: for Bsh1236I at codon 72, for MspI in intron 6, and for BamHI in the 3' flanking region) and for variable number tandem repeat (VNTR) polymorphisms of locus D1S80 and of the 3' untranslated region of the gene for apolipoprotein B (ApoB). Some data from our previous studies of TP53, 3'ApoB, and D1S80 variability were involved in the comparison of Komi with other Eastern European populations. Multidimensional scaling analysis of genetic distances was used for the evaluation of genetic relationships between populations. The results revealed some affinity between Priluzski Komi and Eastern Slavonic populations, and significant segregation of Izhemski Komi from other ethnic groups studied. The unique genetic features of Izhemski Komi may have been determined by their ethnogenesis or the pressure of environmental factors, such as special nutrition and adaptation to extreme climatic conditions.     

HLA gene and haplotype frequencies in Russians, Bashkirs and Tatars, living in the Chelyabinsk Region (Russian South Urals)

We have characterized the HLA‐A, ‐B, ‐DRB1, ‐DQA1 and ‐DQB1 profiles of three major ethnic groups living in Chelyabinsk Region of Russian South Urals, viz., Russians (n = 207), Bashkirs (n = 146) and Tatars (n = 135). First field level typing was performed by PCR using sequence‐specific primers. Estimates included carriage and gene frequencies, linkage disequilibrium and its significance and related values. Population comparisons were made between the allele family frequencies of the three populations and between these populations and 20 others using a dendrogram. Chelyabinsk Region Russians demonstrate all the features typical of a Caucasoid population, but also have some peculiarities. Together with Tatars, Russians have high frequencies of allele families and haplotypes characteristic of Finno‐Ugric populations. This presupposes a Finno‐Ugric impact on Russian and Tatar ethnogenesis. However, this was not apparent in Bashkirs, the first of the three populations to live in this territory, and implies admixture with populations of a Finno‐Ugric origin with precursors of Russians and Tatars before they came to the South Urals. The Bashkirs appear close to Mongoloids in allele and haplotype distribution. However, Bashkirs cannot be labelled either as typical Mongoloids or as Caucasoids. Thus, Bashkirs possess some alleles and haplotypes frequent in Mongoloids, which supports the Turkic impact on Bashkir ethnogenesis, but also possess the AH 8.1 haplotype, which could evidence an ancient Caucasoid population that took part in their ethnic formation or of recent admixture with adjacent populations (Russians and Tatars). Bashkirs showed no features of populations with a substantial Finno‐Ugric component, for example Chuvashes or Russian Saami. This disputes the commonly held belief of a Finno‐Ugric origin for Bashkirs. Tatars appeared close to many European populations. However, they possessed some characteristics of Asiatic populations possibly reflecting a Mongoloid influence on Tatar ethnogenesis. Some aspects of HLA in Tatars appeared close to Chuvashes and Bulgarians, thus supporting the view that Tatars may be descendents of ancient Bulgars.     

中国汉族两群体HLA-DQA1基因的遗传构成及有关15群体DQA1基因频率的比较分析

以HLA基因的PCR-RFLP分型方法研究了哈尔滨地区(Hans-H,71例)和上海地区(Hans-S,98例)两个汉族群体HLA-DQA1座位的遗传多态性。共检出8种等位基因。两群体均以DQA1*0301频率最高,而*0401最低(哈尔滨群体未检出),频率分布符合Hardy-Weinberg平衡。综合分析华人12群体及日本人、高加索人和尼格鲁人等3群体的HLA-DQA1的基因频率显示:卡方总体检验Hans-H及Hans-S与北方华人其它4群体(除维族)间相互无显著差异(P>0.05)),但逐项检验群体间多存在一个至几个基因频率的显著差异(P<0.05～0.001)。总体检验北方华人6群体(包括Hans-S)与南方5群体间均有显著差异(P<0.05～0.001),但满族与南方汉人3群体总体检验无显著差异(P>0.05),而维族与北方华人6群体则有显著差异(P<0.05～0.001)。另外,华人与异族间总体均有非常显著差异(P<0.001),但相对而言,华人(尤其是北方人)与日本人最为接近,华人与高加索人相似性较大,与尼格鲁人差异最大,而高加索人与尼格鲁人差异也较小。并对上述结果进行了讨论。     

Mitochondrial DNA Variability in Bosnians and Slovenians

Mitochondrial DNA variability in two Slavonic‐speaking populations of the northwestern Balkan peninsula, Bosnians (N = 144) and Slovenians (N = 104), was studied by hypervariable segments I and II (HVS I and II) sequencing and restriction fragment‐length polymorphism (RFLP) analysis of the mtDNA coding region. The majority of the mtDNA detected in Southern Slavonic populations falls into the common West Eurasian mitochondrial haplogroups (e.g., H, pre‐V, J, T, U, K, I, W, and X). About 2% of the Bosnian mtDNAs encompass East Eurasian and African lineages (e.g., M and L1b, respectively). The distribution of mtDNA subclusters in Bosnians, Slovenians and the neighbouring European populations reveals that the common genetic substratum characteristic for Central and Eastern European populations (such as Germans, Poles, Russians and Finns) penetrates also South European territories as far as the Western Balkans. However, the observed differentiation between Bosnian and Slovenian mtDNAs suggests that at least two different migration waves of the Slavs may have reached the Balkans in the early Middle Ages.     

Population genetics of coagulation factor XIIIB in three ethnic groups of Singapore.

The distribution of plasma coagulation factor XXIIB polymorphism was determined by PAG isoelectric focusing and immunoblotting in a group of 670 subjects comprising 375 Chinese, 110 Malays and 185 Indians. The frequencies of FXIIIB*1, FXIIIB*2, and FXIIIB*3 were found to be 0.27, 0.03 and 0.70 in the Chinese; 0.33, 0.05 and 0.64 in the Malays and 0.58, 0.08 and 0.33 in the Indians. The phenotypic distribution of FXIIIB alleles was at Hardy-Weinberg equilibrium in all three populations. A two-dimensional principal-components analysis on the basis of three common alleles at the FXIIIB locus among 19 populations, so far studied, clearly differentiates the Negroid, Mongoloid and Caucasoid populations into three major groups with the exception of Amerindians (Minnesota) and US Blacks showing some Caucasoid influence.     

HLA in the Azores Archipelago: possible presence of Mongoloid genes

The HLA profile of the Azoreans has been compared with those of other world populations in order to provide additional information regarding the history of their origins. The allele frequencies, genetic distances between populations, correspondence analyses and most frequent haplotypes were calculated. Our results indicate that the Azorean population most likely contains an admixture of high-frequency Caucasoid, Mongoloid and, to a lesser degree, Negroid HLA genes. The middle Atlantic Azores Archipelago was officially colonized by the Portuguese after 1439 and historical records are concordant with the existence of Caucasoid and Negroid population. However, Mongoloid genes were not suspected, but the Oriental HLA haplotypes A24-B44-DR6-DQ1, A29-B21-DR7-DQ2 and A2-B50-DR7-DQ2 are the fourth, fifth and sixth most frequent ones in Azores. A correspondence analysis shows that the Azorean population is equidistant from Asian and European populations and genetic distances are in some cases closer to the Asian than to European ethnic groups, and never are significantly different; also, B*2707 subtype is found in Asians and Azoreans (but not in Europeans) and the same Machado-Joseph Disease founder haplotypes (Chr 14) are found in both Japanese and Azoreans. It is proposed that a Mongoloid population exists in Azores; whether, the arrival occurred prior to discovery is undetermined.     

Polymorphism of trinucleotide repeats in loci DM, DRPLA and SCA1 in East European populations.

A normal polymorphism at three triplet repeat loci (myotonic dystrophy (DM), dentatorubral-pallidoluysian atrophy (DRPLA) and spinocerebellar ataxia type 1 (SCA1)) were examined in healthy unrelated individuals from the Siberian Yakut (Mongoloid) population, the Adygei (Caucasian) population and nine East European populations: populations from Russia (Holmogory, Oshevensk, Kursk, Novgorod, Udmurts, Bashkir), two Ukrainian populations (Lviv and Alchevsk) and one Belarussian. The distribution of alleles for DRPLA and SCA1 were similar for all East-European populations. For the DM locus, East European populations had typical allele distribution profiles with two modes, (CTG)5 and (CTG)11-14, but some differences were found for the Bashkir population where alleles containing 11-14 CTG repeats had relatively higher frequency. The Yakut population had different allele spectra for all types of repeats studied. Higher heterozygosity levels and insignificant differences between expected and observed heterozygosity were found for all tested loci. The latter led us to suggest that the trinucleotide repeat loci analysed are not influenced by selection factors and could be useful for genetic relationship investigations in different populations.     

Allele and haplotype frequencies at human leukocyte antigen class I and II genes in Venezuela's population

Population studies represent an integral part and link in understanding the complex chain of host-pathogen interactions, disease pathogenesis, and MHC gene polymorphisms. Genes of Mongoloid, Caucasoid, and Negroid populations have created a distinctive HLA genetic profile in the Venezuelan population. Our objective was to determine the predominant HLA class I and II alleles and haplotype frequencies in the hybrid population of Venezuela. The study population consisted of 486 healthy unrelated native Venezuelans and 180 families. We examined the frequency of HLA A-B-C, HLA-DQ and HLA-DR genes by polymerase chain reaction and subsequent hybridization with sequence-specific oligonucleotide probes. Phenotypic, allelic and haplotype frequencies were estimated by direct counting and using the maximum-likelihood method. The predominant HLA class I alleles were A*02, A*24, A*68, B*35, B*44, B*51, B*07, B*15 and Cw*07. Regarding HLA class II, the most frequent alleles were DQB1*03 and DRB1*04, DRB1*15, DRB1*13, DRB1*07. The prevailing haplotype was HLA-A*02B*35 DQB1*03 DRB1*04. Some of these alleles and haplotype frequencies were predominantly present in Amerindians (A*02, A*24, B*35, Cw*07, DRB1*04, A*24 B*35). Previous reports have shown high incidence of A*02, B*44, B*51, DRB1*15, DRB1*13, DRB1*07 alleles in several European populations and A*68, B*07, B*15 alleles in African Americans, which could have contributed to the ethnic admixture of the Venezuelan population. We conclude that our results provide strong evidence that Venezuela's population represents an admixture of the primitive Mongoloid Aborigines, Caucasoid Europeans and Western African Negroid migrants.     

Mitochondrial DNA variability in Russians and Ukrainians: Implication to the origin of the Eastern Slavs

In order to investigate the origin of the Eastern Slavs, mitochondrial DNA (mtDNA) sequence variation was examined in Russians and Ukrainians by hypervariable segment I (HVS I) sequencing and restriction analysis of the haplogroup-specific sites. No significant differences were found for Russians and Ukrainians when compared to other Europeans – in fact, they fall within the range of gene diversity seen throughout Europe and exhibit the unimodal pattern of pairwise sequence differences. Moreover, HVS I sequences in the Russians and Ukrainians are similar or identical to those found in eastern and western European populations. Despite the small genetic distances between Europeans, phylogenetic analysis reveals a considerable heterogeneity of Eastern Slavonic populations – they do not cluster together onto a phylogenetic tree. Analysis of distribution of rare HVS I types shared between populations of Eastern Slavs and other West Eurasians has shown that Russians share rare haplotypes mainly with Germans and Finno–Ugric populations. Of these, subhaplogroup H1 sequence types, which are defined by different combinations of nucleotides 16192T, 16294T, 16304C, 16311C and 16320T, are found predominantly in common between Russians and German-speaking populations. The data obtained allow us to conclude that the Slavonic migrations in early Middle Ages from their putative homeland in central Europe to the east of Europe were accompanied mostly by the same mtDNA types characteristic for the pre-Slavonic populations of eastern Europe.     

Genetic heterogeneity in northeastern India: Reflection of Tribe–Caste continuum in the genetic structure

We critically examined the gene frequency data for 11 genetic markers commonly available in the literature for 22 populations of northeastern India in the light of their geographic, linguistic, and ethnic affiliations. The markers investigated were three blood groups (A₁A₂BO, MNS, and Rh), four serum proteins (KM, Gc, Hp, and Tf), and four enzyme systems (AP, AK, EsD, and Hb). The neighbor‐joining tree and multidimensional scaling of the distance matrix suggest relatively high genetic differentiation among the Mongoloid groups, with probably diverse origins when compared to the Caucasoid Indo‐European populations, which had probably come from relatively more homogeneous backgrounds. Broadly speaking, the pattern of population affinities conforms to the ethno‐historic, linguistic, and geographic backgrounds. An interesting and important feature that emerges from this analysis is the reflection of the effect of the sociological process of a Tribe–Caste continuum on genetic structure. While on one end we have the cluster of Caucasoid caste populations, the other end consists of Mongoloid tribal groups. In between are the populations which were originally tribes but now have become semi‐Hinduized caste groups, viz., Rajbanshi, Chutiya, and Ahom. These groups have currently assumed caste status and speak Indo‐European languages. Therefore, one may infer that what appears to be a purely sociological phenomenon of a Tribe–Caste continuum may well reflect in their genetic structure. Am. J. Hum. Biol. 16:334–345, 2004. © 2004 Wiley‐Liss, Inc.     

Genetic structure and affinity among eight ethnic populations of Eastern India: based on 22 polymorphic DNA loci.

The nature and extent of genetic variation at 22 polymorphic DNA loci, belonging to three distinct classes, especially, 12 STR loci (D3S1358, vWA, FGA, D5S818, D13S317, D7S820, D8S1179, D21S11, D18S51, HPRTB, F13B, LPL), four VNTR loci (D1S7, D4S139, D5S110, D17S79), and six coding loci (HLDQA1, LDLR, GYPA, HBGG, D7S8, GC) were investigated among eight population groups of West Bengal and Manipur regions of India. Of these, two groups from West Bengal belong to Caucasoid and six (one in WB and five in Manipur) belong to Mongoloid stock. Both STR and the expressed loci show wide diversity among the eight populations. For example, Manipur Muslims show differences in allele frequency when compared to four other regional populations. Similarly, Garo, one of the Mongoloid populations of West Bengal, differ in allele frequency from their counterparts in the Manipur region. Departure from Hardy-Weinberg expectations was observed at certain loci in a few populations (e.g., D21S1137 in Kayastha and Brahmin, HUM F13B in Meitei). Heterozygosity values were higher for Caucasoid than Mongoloid groups. The overall gene differentiation (GST) for STR loci is higher (5.3%) than for those at the expressed region (4.6%). The clustering pattern of the eight populations differs with respect to different classes of genetic markers used. The dendrograms based on six coding loci (HLDQA1, LDLR, GYPA, HBGG, D7S8, GC) differs from those based on STR and VNTR markers. Caucasoid and Mongoloid groups form different clusters and Manipur Muslims are distinct from others. The clustering pattern corresponded with the spatial and ethnic affiliations of the populations. Using different classes of DNA loci at the coding and noncoding region will help to better understand the influence of population structure variables on the genetic structure of populations.     

Ethnic Manifestations of Gene Polymorphisms of Vitamin D Receptor (VDR) in Adolescents of Western Kazakhstan Region

Background (Objectives)

The objective of the article is studying the connection of VDR gene polymorphisms with bone tissue mineral density and biochemical marker of 25-PO vitamin D in adolescents of both ethnic groups, living in Western Kazakhstan Region.

Allelic structures at hypervariable minisatellite B6.7 in Japanese show population specificity

Human minisatellite B6.7 shows extensive allele length and structural variability in north Europeans. We analysed this locus in the Japanese population. Allele size distributions showed that Japanese retain extensive allele length variability but have significantly smaller alleles compared with north Europeans. In contrast, there is very little variation in flanking DNA, with only one single-nucleotide polymorphism (SNP) near the minisatellite. Ninety-two Japanese alleles were further characterised by minisatellite variant repeat mapping by polymerase chain reaction (MVR-PCR). These alleles showed a wide variety of internal MVR structures, despite their relative shortness, with most alleles observed only once in the sample. The true heterozygosity is estimated at 99.95%, with well in excess of 2000 different alleles existing in the Japanese population. Dot matrix analysis showed that groups of related alleles sharing structural motifs could be identified within Japanese and in north Europeans, and that these groups are population specific with no examples of significant similarity between any Japanese and north European alleles. Minisatellite B6.7 therefore shows huge allele variability and fast repeat turnover in Japanese as well as north European populations, and provides novel lineage markers for exploring very recent events in human population history. Received: January 29, 2002 / Accepted: February 12, 2002     

Genetic relationships of the populations in eastern India.

The genetic relationships for four sets of populations in eastern India have been studied by using gene frequency data available in the literature. The Caucasoid populations in Assam and West Bengal are genetically close but different from the Mongoloid populations in the neighbourhood. The genetic distance analysis shows that the Mongoloid populations in Assam and West Bengal cluster according to their states of residence, indicating a correlation between genetic and geographical distances.     

HLA molecular markers in Tuvinians: a population with both Oriental and Caucasoid characteristics

HLA class I and class II alleles have been studied for the first time in the Turkish-speaking Tuvinian population, which lives in Russia, North of Mongolia and close to the Altai mountains. Comparisons have been done with about 11000 chromosomes from other worldwide populations, and extended haplotypes, genetic distances, neighbor joining dendrograms and correspondence analyses have been calculated. Tuvinians show an admixture of Mongoloid and Caucasoid characters, the latter probably coming from the ancient Kyrgyz background or, less feasibly, more recent Russian Caucasoid admixture. However, Siberian population traits are not found and thus Tuvinians are closer to Central Asian populations. Siberians are more related to Na-Dene and Eskimo American Indians; Amerindians (from nowadays Iberian–America) are not related to any other group, including Pacific Islanders, Siberians or other American Indians. The 'more than one wave' model for the peopling of the Americas is supported.     

Mitochondrial DNA Variability in Slovaks, with Application to the Roma Origin

To gain insight into the mitochondrial gene pool diversity of European populations, we studied mitochondrial DNA (mtDNA) variability in 207 subjects from western and eastern areas of Slovakia. Sequencing of two hypervariable segments, HVS I and HVS II, in combination with screening of coding region haplogroup-specific RFLP-markers, revealed that the majority of Slovak mtDNAs belong to the common West Eurasian mitochondrial haplogroups (HV, J, T, U, N1, W, and X). However, a few sub-Saharan African (L2a) mtDNAs were detected in a population from eastern part of Slovakia. In addition, about 3% of mtDNAs from eastern Slovakia encompass Roma-specific lineages. By means of complete mtDNA sequencing we demonstrate here that the Roma-specific M-lineages observed in gene pools of different Slavonic populations (Slovaks, Poles and Russians), belong to Indian-specific haplogroups M5a1 and M35. Moreover, we show that haplogroup J lineages found in gene pools of the Roma and some Slavonic populations (Czechs and Slovaks) belong to new subhaplogroup J1a, which is defined by coding region mutation at position 8460.     

HLA class II allele and haplotype frequencies in Ethiopian Amhara and Oromo populations

Abstract: HLA class II alleles were identified in 181 healthy unrelated Ethiopian children of both sexes and in 350 European controls from the South of France. The Ethiopian individuals belonged to the two major ethnic groups of the country: Oromo ( N =83) and Amhara ( N =98). In both panels, genetic polymorphism of HLA class II alleles was analysed for the first time by molecular typing of DRB1, DQA1 and DQB1 loci. Allelic and phenotypic frequencies were compared with those of European controls and other African populations. Construction of HLA class II three-locus haplo-types was also performed. The study revealed some differences between the two groups. Characteristic features of Central and North African populations appeared on the Ethiopian HLA genotypes. Surprisingly, DRB1*11 presented one of the lowest gene frequencies in both Ethiopian ethnic groups in contrast to Europeans and West Africans. Furthermore, this decrease was more marked than those observed using serological techniques in other geographically close East African countries. Oromo and Amhara only showed minor differences in spite of their different origins and histories. One significant difference consisted of a lower DRB1*01 gene frequency in Oromo as reported in most West African people. Some new or rare haplotypes were also observed in the Oromo group. Our results underline the distinctive features of the Ethiopian populations among the few HLA genotyping data available for East African groups and emphasise the major interest of such investigations in this region of Africa.