Human Y Chromosome Research Articles

In-solution Y-chromosome capture-enrichment on ancient DNA libraries

BackgroundAs most ancient biological samples have low levels of endogenous DNA, it is advantageous to enrich for specific genomic regions prior to sequencing. One approach—in-solution capture-enrichment—retrieves sequences of interest and reduces the fraction of microbial DNA. In this work, we implement a capture-enrichment approach targeting informative regions of the Y chromosome in six human archaeological remains excavated in the Caribbean and dated between 200 and 3000 years BP. We compare the recovery rate of Y-chromosome capture (YCC) alone, whole-genome capture followed by YCC (WGC + YCC) versus non-enriched (pre-capture) libraries.ResultsThe six samples show different levels of initial endogenous content, with very low (< 0.05%, 4 samples) or low (0.1–1.54%, 2 samples) percentages of sequenced reads mapping to the human genome. We recover 12–9549 times more targeted unique Y-chromosome sequences after capture, where 0.0–6.2% (WGC + YCC) and 0.0–23.5% (YCC) of the sequence reads were on-target, compared to 0.0–0.00003% pre-capture. In samples with endogenous DNA content greater than 0.1%, we found that WGC followed by YCC (WGC + YCC) yields lower enrichment due to the loss of complexity in consecutive capture experiments, whereas in samples with lower endogenous content, the libraries’ initial low complexity leads to minor proportions of Y-chromosome reads. Finally, increasing recovery of informative sites enabled us to assign Y-chromosome haplogroups to some of the archeological remains and gain insights about their paternal lineages and origins.ConclusionsWe present to our knowledge the first in-solution capture-enrichment method targeting the human Y-chromosome in aDNA sequencing libraries. YCC and WGC + YCC enrichments lead to an increase in the amount of Y-DNA sequences, as compared to libraries not enriched for the Y-chromosome. Our probe design effectively recovers regions of the Y-chromosome bearing phylogenetically informative sites, allowing us to identify paternal lineages with less sequencing than needed for pre-capture libraries. Finally, we recommend considering the endogenous content in the experimental design and avoiding consecutive rounds of capture, as clonality increases considerably with each round.

A new self-learning computational method for footprints of early human migration processes.

We present a new self-learning computational method searching for footprints of early migration processes determining the genetic compositions of recent human populations. The data being analysed are 26- and 18-dimensional mitochondrial and Y-chromosomal haplogroup distributions representing 50 recent and 34 ancient populations in Eurasia and America. The algorithms search for associations of haplogroups jointly propagating in a significant subset of these populations. Joint propagations of Hgs are detected directly by similar ranking lists of populations derived from Hg frequencies of the 50 Hg distributions. The method provides us the most characteristic associations of mitochondrial and Y-chromosomal haplogroups, and the set of populations where these associations propagate jointly. In addition, the typical ranking lists characterizing these Hg associations show the geographical distribution, the probable place of origin and the paths of their protection. Comparison to ancient data verifies that these recent geographical distributions refer to the most important prehistoric migrations supported by archaeological evidences.

Carriers of mitochondrial DNA macrohaplogroup L3 basal lineages migrated back to Africa from Asia around 70,000 years ago

BackgroundThe main unequivocal conclusion after three decades of phylogeographic mtDNA studies is the African origin of all extant modern humans. In addition, a southern coastal route has been argued for to explain the Eurasian colonization of these African pioneers. Based on the age of macrohaplogroup L3, from which all maternal Eurasian and the majority of African lineages originated, the out-of-Africa event has been dated around 60-70 kya. On the opposite side, we have proposed a northern route through Central Asia across the Levant for that expansion and, consistent with the fossil record, we have dated it around 125 kya. To help bridge differences between the molecular and fossil record ages, in this article we assess the possibility that mtDNA macrohaplogroup L3 matured in Eurasia and returned to Africa as basal L3 lineages around 70 kya.ResultsThe coalescence ages of all Eurasian (M,N) and African (L3 ) lineages, both around 71 kya, are not significantly different. The oldest M and N Eurasian clades are found in southeastern Asia instead near of Africa as expected by the southern route hypothesis. The split of the Y-chromosome composite DE haplogroup is very similar to the age of mtDNA L3. An Eurasian origin and back migration to Africa has been proposed for the African Y-chromosome haplogroup E. Inside Africa, frequency distributions of maternal L3 and paternal E lineages are positively correlated. This correlation is not fully explained by geographic or ethnic affinities. This correlation rather seems to be the result of a joint and global replacement of the old autochthonous male and female African lineages by the new Eurasian incomers.ConclusionsThese results are congruent with a model proposing an out-of-Africa migration into Asia, following a northern route, of early anatomically modern humans carrying pre-L3 mtDNA lineages around 125 kya, subsequent diversification of pre-L3 into the basal lineages of L3, a return to Africa of Eurasian fully modern humans around 70 kya carrying the basal L3 lineages and the subsequent diversification of Eurasian-remaining L3 lineages into the M and N lineages in the outside-of-Africa context, and a second Eurasian global expansion by 60 kya, most probably, out of southeast Asia. Climatic conditions and the presence of Neanderthals and other hominins might have played significant roles in these human movements. Moreover, recent studies based on ancient DNA and whole-genome sequencing are also compatible with this hypothesis.

Population Genetics of Latvians in the Context of Admixture between North-Eastern European Ethnic Groups

Abstract This article presents a review on population genetics of Latvians, which alongside Lithuanians are the two extant Baltic speaking populations. The article provides a description of genome-wide single nucleotide polymorphism (SNP) data and contains a comparative analysis of the results of studies performed on classical autosomal genetic markers, mitochondrial DNA (mtDNA) and the non-recombining part of the Y chromosome (NRY), with data on neighbouring populations. The study also covers data of recently performed ancient DNA (aDNA) studies carried out on samples from the territory of today’s Latvia. The results of population genetic studies have shown a mixture of eastern and western genetic traits in present-day Latvians with only small differences between Latvian subpopulations. Studies of the Baltic “tribal gene” LW b , as well as the gene’s SERPINA1 allele PIZ have indicated the presence of a considerable Baltic admixture in the neighbouring Finno-Ugric and Slavic populations. Although mtDNA analyses have shown that Latvians genetically in general belong to the same common gene pool as most of the Europeans, the Y-chromosomal lineage composition suggests that they are most similar to Northern and Eastern European populations of Lithuanians, Estonians, and Eastern-Slavic populations, which are ethnogenetically closest to them. The analysis of aDNA from the Early and Middle Neolithic did not present any genomic evidence of gene-flow from Central European farmers or any mitochondrial or Y-chromosomal haplogroups that are typical for them in the hunter-gatherers from the territory of today’s Latvia and Lithuania.

Yleaf: Software for Human Y-Chromosomal Haplogroup Inference from Next-Generation Sequencing Data.

Next-generation sequencing (NGS) technologies offer immense possibilities given the large genomic data they simultaneously deliver. The human Y-chromosome serves as good example how NGS benefits various applications in evolution, anthropology, genealogy, and forensics. Prior to NGS, the Y-chromosome phylogenetic tree consisted of a few hundred branches, based on NGS data, it now contains many thousands. The complexity of both, Y tree and NGS data provide challenges for haplogroup assignment. For effective analysis and interpretation of Y-chromosome NGS data, we present Yleaf, a publically available, automated, user-friendly software for high-resolution Y-chromosome haplogroup inference independently of library and sequencing methods.

IMPUTOR: Phylogenetically Aware Software for Imputation of Errors in Next-Generation Sequencing.

We introduce IMPUTOR, software for phylogenetically aware imputation of missing haploid nonrecombining genomic data. Targeted for next-generation sequencing data, IMPUTOR uses the principle of parsimony to impute data marked as missing due to low coverage. Along with efficiently imputing missing variant genotypes, IMPUTOR is capable of reliably and accurately correcting many nonmissing sites that represent spurious sequencing errors. Tests on simulated data show that IMPUTOR is capable of detecting many induced mutations without making erroneous imputations/corrections, with as many as 95% of missing sites imputed and 81% of errors corrected under optimal conditions. We tested IMPUTOR with human Y-chromosomes from pairs of close relatives and demonstrate IMPUTOR’s efficacy in imputing missing and correcting erroneous calls.

Yleaf: Software for Human Y-Chromosomal Haplogroup Inference from Next-Generation Sequencing Data.

Next-generation sequencing (NGS) technologies offer immense possibilities given the large genomic data they simultaneously deliver. The human Y-chromosome serves as good example how NGS benefits various applications in evolution, anthropology, genealogy, and forensics. Prior to NGS, the Y-chromosome phylogenetic tree consisted of a few hundred branches, based on NGS data, it now contains many thousands. The complexity of both, Y tree and NGS data provide challenges for haplogroup assignment. For effective analysis and interpretation of Y-chromosome NGS data, we present Yleaf, a publically available, automated, user-friendly software for high-resolution Y-chromosome haplogroup inference independently of library and sequencing methods.

Sequencing and analysis of the whole genome of Indian Gujarati male

The article presents the analysis of whole genome sequence of a Gujarati Indian individual (IHGP01) that was sequenced at 23.05× coverage with a total of 74.93 Gb of sequence data generated using Illumina HiSeq 2000 platform. Variant analysis revealed over 3.9 million single nucleotide variants (SNVs) and about 393,000 small insertions and deletions (InDels) including novel variants. The known variants were analyzed for their health and disease relevance and pharmacogenomic profile. Mitochondrial and Y-chromosome haplogroup analysis clearly indicated arrival on the continent not more than 20,000–25,000 years ago, following the route out of Africa to central Europe, then into Asian continent and subsequent migration to West part of the Indian subcontinent. The current research has added 141,000 novel genetic variations to the human DNA database. Functional analysis and validation of these novel variations and revelation of their role in health and disease will add a newer dimension to understand people of this subcontinent.

Multiple endocrine neoplasia 2 in Cyprus: evidence for a founder effect

PurposeMultiple endocrine neoplasia type 2 (MEN2) affects patients with RET proto-oncogene mutations. This cohort study refers to patients who were diagnosed with familial medullary thyroid carcinoma (MTC) and underwent RET genetic testing in Cyprus between years 2002 and 2017.Methods and patientsForty patients underwent RET testing by Sanger sequencing of exons 10–11 and 13–16. Genotyping with STR genetic markers flanking the RET gene along with Y-chromosome genotyping and haplogroup assignment was also performed.ResultsRET mutations were identified in 40 patients from 11 apparently unrelated Cypriot families and two non-familial sporadic cases. Nine probands (69.2%) were heterozygous for p.Cys618Arg, one (7.7%) for p.Cys634Phe, one (7.7%) for the somatic delE632-L633 and two (15.4%) for p.Met918Thr mutations. The mean age at MTC diagnosis of patients carrying p.Cys618Arg was 36.8 ± 14.2 years. The age of pheo diagnosis ranged from 26 to 43 years and appeared simultaneously with MTC in 5/36 (13.9%) cases. The high frequency of the p.Cys618Arg mutation suggested a possible ancestral mutational event. Haplotype analysis was performed in families with and without p.Cys618Arg. Six microsatellite markers covering the RET gene and neighboring regions identified one core haplotype associated with all patients carrying p.Cys618Arg mutation.ConclusionsThe mutation p.Cys618Arg is by far the most prevalent mutation in Cyprus followed by other reported mutations of variable clinical significance. The provided molecular evidence speculates p.Cys618Arg mutation as an ancestral mutation that has spread in Cyprus due to a possible founder effect.

The Geographic Origins of Ethnic Groups in the Indian Subcontinent: Exploring Ancient Footprints with Y-DNA Haplogroups.

Several studies have evaluated the movements of large populations to the Indian subcontinent; however, the ancient geographic origins of smaller ethnic communities are not clear. Although historians have attempted to identify the origins of some ethnic groups, the evidence is typically anecdotal and based upon what others have written before. In this study, recent developments in DNA science were assessed to provide a contemporary perspective by analyzing the Y chromosome haplogroups of some key ethnic groups and tracing their ancient geographical origins from genetic markers on the Y-DNA haplogroup tree. A total of 2,504 Y-DNA haplotypes, representing 50 different ethnic groups in the Indian subcontinent, were analyzed. The results identified 14 different haplogroups with 14 geographic origins for these people. Moreover, every ethnic group had representation in more than one haplogroup, indicating multiple geographic origins for these communities. The results also showed that despite their varied languages and cultural differences, most ethnic groups shared some common ancestors because of admixture in the past. These findings provide new insights into the ancient geographic origins of ethnic groups in the Indian subcontinent. With about 2,000 other ethnic groups and tribes in the region, it is expected that more scientific discoveries will follow, providing insights into how, from where, and when the ancestors of these people arrived in the subcontinent to create so many different communities.

Using Y-Chromosomal Haplogroups in Genetic Association Studies and Suggested Implications.

Y-chromosomal (Y-DNA) haplogroups are more widely used in population genetics than in genetic epidemiology, although associations between Y-DNA haplogroups and several traits, including cardiometabolic traits, have been reported. In apparently homogeneous populations defined by principal component analyses, there is still Y-DNA haplogroup variation which will result from population history. Therefore, hidden stratification and/or differential phenotypic effects by Y-DNA haplogroups could exist. To test this, we hypothesised that stratifying individuals according to their Y-DNA haplogroups before testing for associations between autosomal single nucleotide polymorphisms (SNPs) and phenotypes will yield difference in association. For proof of concept, we derived Y-DNA haplogroups from 6537 males from two epidemiological cohorts, Avon Longitudinal Study of Parents and Children (ALSPAC) (n = 5080; 816 Y-DNA SNPs) and the 1958 Birth Cohort (n = 1457; 1849 Y-DNA SNPs), and studied the robust associations between 32 SNPs and body mass index (BMI), including SNPs in or near Fat Mass and Obesity-associated protein (FTO) which yield the strongest effects. Overall, no association was replicated in both cohorts when Y-DNA haplogroups were considered and this suggests that, for BMI at least, there is little evidence of differences in phenotype or SNP association by Y-DNA structure. Further studies using other traits, phenome-wide association studies (PheWAS), other haplogroups and/or autosomal SNPs are required to test the generalisability and utility of this approach.

Whole-sequence analysis indicates that the Y chromosome C2*-Star Cluster traces back to ordinary Mongols, rather than Genghis Khan.

The Y-chromosome haplogroup C3*-Star Cluster (revised to C2*-ST in this study) was proposed to be the Y-profile of Genghis Khan. Here, we re-examined the origin of C2*-ST and its associations with Genghis Khan and Mongol populations. We analyzed 34 Y-chromosome sequences of haplogroup C2*-ST and its most closely related lineage. We redefined this paternal lineage as C2b1a3a1-F3796 and generated a highly revised phylogenetic tree of the haplogroup, including 36 sub-lineages and 265 non-private Y-chromosome variants. We performed a comprehensive analysis and age estimation of this lineage in eastern Eurasia, including 18,210 individuals from 292 populations. We discovered that the origin of populations with high frequencies of C2*-ST can be traced to either an ancient Niru'un Mongol clan or ordinary Mongol tribes. Importantly, the age of the most recent common ancestor of C2*-ST (2576 years, 95% CI = 1975-3178) and its sub-lineages, and their expansion patterns, are consistent with the diffusion of all Mongolic-speaking populations, rather than Genghis Khan himself or his close male relatives. We concluded that haplogroup C2*-ST is one of the founder paternal lineages of all Mongolic-speaking populations, and direct evidence of an association between C2*-ST and Genghis Khan has yet to be discovered.

III. Béla király csontjainak tanúsága – Az Árpád-ház eredete

The role of applications based on machine learning is continuously growing in the industry, health sector/bioinformatics and scientific research. American researchers published a bit more than 10 years ago the first machine learning algorithms, which were able to safely predict Y-SNP based haplogroups from Y-STR data.&#x0D; The goal of the present study was to predict with machine learning algorithms the SNP-based subgroup of three ancient DNA samples (King Béla III and two Khazar samples) belonging to Y-DNA Haplogroup R1a, in order to predict their geographic origin and mutual genetic relatedness more accurately. This is the first study applying machine learning algorithms for researching Hungarian prehistory.&#x0D; Based on the Y-STR haplotype of King Béla III, we estimated with the machine learning algorithm in the first step that he belonged to the R1a-Z93 subgroup that is most common among Indo-Iranic and Turkic speaking peoples. The second step predicted that King Béla III belonged to the Z2123 subgroup of R1a-Z93. The Phylogenetic analysis showed King Béla III most likely belonged to the relatively rare YP451+ YP449- subgroup of Z2123, which practically only appears in the North Caucasus, especially among Karachays and Balkars.&#x0D; Based on our results, we could hypothetically conclude that the Árpád Dynasty has common origin with one ethnic component of the Karachay people.&#x0D; In our study we proved that it is possible to increase the accuracy of Y-DNA haplogroup prediction of historical aDNA samples with mathematical methods using contemporary Y-STR haplotypes. With the help of this method, larger historical aDNA studies could save a lot of research funds and DNA carrying out tailored deep SNP-testing of samples instead of using general SNaPshots.

Reasons for the Wide Spread of the Protosyllable -*kam- (and Its Phonetic Variants -*kham-, -*cham-) in the Modern Place-Names (Multidisciplinary Approach)

This article presents a new approach in the field of protolanguage study on the basis of the hypothesis (Mironova, 2008) about protosyllables of protolanguage preserved in the modern place names. The protosyllable -*kam- exists since ancient times in hydronyms and oronyms, and shows the presence of common ancient meaning in their phonetic arrangement. The research reveals this common meaning inserted in the protosyllable -*kam-, which reflects the attitude of migrated tribes to the sacred mountains and mountain ranges on the one hand and water sources on the other. The traces of these migrated tribes can be found according to the up-to-date investigations in the field of archaeology (stone artifacts in the shape of a bear and an elk), in the field of DNA-genealogy (the data about “Malta boy” Y-chromosome haplogroup R) and in the field of the Paleolithic religious cult study (common features of the united religious cult of the Great Goddess of the Paleolithic in Eurasia, including: heart-like and anthropomorphic images on the surfaces and on the corners of the stones, boulders and cliffs).

The experimental testing of semi-authomated process of degraded DNA extraction and reading on ancient samples from Baltic area

The extracting the genetic information from old and degraded DNA now become a serious and promising direction of biotechnology. In Russia, this kind of technological systems is fully developing only recent years, so building and testing the processes for degraded DNA extraction and reading is still important, as it makes Russia independent from foreign laboratories. Below we outline the authomated process designed and performed in Russia, and mainly the result of the experiment on Y-DNA haplogroup defining of two ancient burials from Kaliningrad Area. The obtained data allows defining the Y-haplogroup R1a with a certain probability. The paper outlines the experiment, testing process, and the obtained results for both samples in form of precise but scarce data. The experiment showed that the developed system manages with 1000-1500 year old samples preserved in acid soils prevailing in Russia. The technology mentioned and used in the test was developed in Moscow Institute of Physics and Technology by the Laboratory of Historical Genetics, Radiocarbon Analysis, and Applied Physics and was used in the project according to the agreement.

Whole sequence analysis indicates a recent southern origin of Mongolian Y-chromosome C2c1a1a1-M407.

The Y-chromosome haplogroup C2c1a1a1-M407 is a predominant paternal lineage in Mongolic-speaking populations, especially in Buryats and Kalmyks. However, the origin and internal phylogeny of C2c1a1a1-M407 have not been investigated in detail. In this study, we analyzed twenty-three Y-chromosome sequences of haplogroup C2c1a1a1-M407 and its most closely related clades. We generated a high-resolution phylogenetic tree of haplogroup C2c1a1a1-M407 and its upstream clade C2c1a1-CTS2657, including 32 subclades and 144 non-private Y-chromosome polymorphisms. We discover that all available C2c1a1a1-M407 samples from Mongolic-speaking populations belong to its newly defined downstream clade C2c1a1a1b-F8465, whereas all samples of C2c1a1-CTS2657(xF8465) come from northern Han Chinese, Korean, and Japanese. Furthermore, we observe that C2c1a1a1b-F8465 and its subclade C2c1a1a1b1-F8536 expanded at approximately 0.86 and 0.44 thousand years ago, respectively. Therefore, we conclude that C2c1a1a1-M407 in Mongolic-speaking populations has originated from northeastern Asia. C2c1a1a1b1-F8536, the newly defined subclade of C2c1a1a1-M407, probably represents the genetic relationships between ancient Oyrats, modern Kalmyks, Mongolians, and Buryats.

The Y-chromosome haplogroup C3*-F3918, likely attributed to the Mongol Empire, can be traced to a 2500-year-old nomadic group.

The Mongol Empire had a significant role in shaping the landscape of modern populations. Many populations living in Eurasia may have been the product of population mixture between ancient Mongolians and natives following the expansion of Mongol Empire. Geneticists have found that most of these populations carried the Y-haplogroup C3* (C-M217). To trace the history of haplogroup (Hg) C3* and to further understand the origin and development of Mongolians, ancient human remains from the Jinggouzi, Chenwugou and Gangga archaeological sites, which belonged to the Donghu, Xianbei and Shiwei, respectively, were analysed. Our results show that nine of the eleven males of the Gangga site, two of the eight males of Chengwugou site and all of the twelve males of Jinggouzi site were found to have mutations at M130 (Hg C), M217 (Hg C3), L1373 (C2b, ISOGG2015), with the absence of mutations at M93 (Hg C3a), P39 (Hg C3b), M48 (Hg C3c), M407 (Hg C3d) and P62 (Hg C3f). These samples were attributed to the Y-chromosome Hg C3* (Hg C2b, ISOGG2015), and most of them were further typed as Hg C2b1a based on the mutation at F3918. Finally, we inferred that the Y-chromosome Hg C3*-F3918 can trace its origins to the Donghu ancient nomadic group.

Ancient DNA reveals genetic connections between early Di-Qiang and Han Chinese

BackgroundAncient Di-Qiang people once resided in the Ganqing region of China, adjacent to the Central Plain area from where Han Chinese originated. While gene flow between the Di-Qiang and Han Chinese has been proposed, there is no evidence to support this view. Here we analyzed the human remains from an early Di-Qiang site (Mogou site dated ~4000 years old) and compared them to other ancient DNA across China, including an early Han-related site (Hengbei site dated ~3000 years old) to establish the underlying genetic relationship between the Di-Qiang and ancestors of Han Chinese.ResultsWe found Mogou mtDNA haplogroups were highly diverse, comprising 14 haplogroups: A, B, C, D (D*, D4, D5), F, G, M7, M8, M10, M13, M25, N*, N9a, and Z. In contrast, Mogou males were all Y-DNA haplogroup O3a2/P201; specifically one male was further assigned to O3a2c1a/M117 using targeted unique regions on the non-recombining region of the Y-chromosome. We compared Mogou to 7 other ancient and 38 modern Chinese groups, in a total of 1793 individuals, and found that Mogou shared close genetic distances with Taojiazhai (a more recent Di-Qiang population), Hengbei, and Northern Han. We modeled their interactions using Approximate Bayesian Computation, and support was given to a potential admixture of ~13-18% between the Mogou and Northern Han around 3300–3800 years ago.ConclusionsMogou harbors the earliest genetically identifiable Di-Qiang, ancestral to the Taojiazhai, and up to ~33% paternal and ~70% of its maternal haplogroups could be found in present-day Northern Han Chinese.

Porcine Y-chromosome variation is consistent with the occurrence of paternal gene flow from non-Asian to Asian populations.

Pigs (Sus scrofa) originated in Southeast Asia and expanded to Europe and North Africa approximately 1 MYA. Analyses of porcine Y-chromosome variation have shown the existence of two main haplogroups that are highly divergent, a result that is consistent with previous mitochondrial and autosomal data showing that the Asian and non-Asian pig populations remained geographically isolated until recently. Paradoxically, one of these Y-chromosome haplogroups is extensively shared by pigs and wild boars from Asia and Europe, an observation that is difficult to reconcile with a scenario of prolonged geographic isolation. To shed light on this issue, we genotyped 33 Y-linked SNPs and one indel in a worldwide sample of pigs and wild boars and sequenced a total of 9903 nucleotide sites from seven loci distributed along the Y-chromosome. Notably, the nucleotide diversity per site at the Y-linked loci (0.0015 in Asian pigs) displayed the same order of magnitude as that described for autosomal loci (~0.0023), a finding compatible with a process of sustained and intense isolation. We performed an approximate Bayesian computation analysis focused on the paternal diversity of wild boars and local pig breeds in which we compared three demographic models: two isolation models (I models) differing in the time of isolation and a model of isolation with recent unidirectional migration (IM model). Our results suggest that the most likely explanation for the extensive sharing of one Y-chromosome haplogroup between non-Asian and Asian populations is a recent and unidirectional (non-Asian > Asian) paternal migration event.

Genetic diversity in Svaneti and its implications for the human settlement of the Highland Caucasus.

In this study, we characterized genetic diversity in the Svans from northwestern Georgia to better understand the phylogeography of their genetic lineages, determine whether genetic diversity in the highland South Caucasus has been shaped by language or geography, and assess whether Svan genetic diversity was structured by regional residence patterns. We analyzed mtDNA and Y-chromosome variation in 184 individuals from 13 village districts and townlets located throughout the region. For all individuals, we analyzed mtDNA diversity through control region sequencing, and, for males, we analyzed Y-chromosome diversity through SNP and STR genotyping. The resulting data were compared with those for populations from the Caucasus and Middle East. We observed significant mtDNA heterogeneity in Svans, with haplogroups U1-U7, H, K, and W6 being common there. By contrast, ∼78% of Svan males belonged to haplogroup G2a, with the remainder falling into four other haplogroups (J2a1, I2, N, and R1a). While showing a distinct genetic profile, Svans also clustered with Caucasus populations speaking languages from different families, suggesting a deep common ancestry for all of them. The mtDNA data were not structured by geography or linguistic affiliation, whereas the NRY data were influenced only by geography. These patterns of genetic variation confirm a complex set of geographic sources and settlement phases for the Caucasus highlands. Such patterns may also reflect social and cultural practices in the region. The high frequency and antiquity of Y-chromosome haplogroup G2a in this region further points to its emergence there.