I. M. Khidiyatova

A recent bottleneck of Y chromosome diversity coincides with a global change in culture

It is commonly thought that human genetic diversity in non-African populations was shaped primarily by an out-of-Africa dispersal 50-100 thousand yr ago (kya). Here, we present a study of 456 geographically diverse high-coverage Y chromosome sequences, including 299 newly reported samples. Applying ancient DNA calibration, we date the Y-chromosomal most recent common ancestor (MRCA) in Africa at 254 (95% CI 192-307) kya and detect a cluster of major non-African founder haplogroups in a narrow time interval at 47-52 kya, consistent with a rapid initial colonization model of Eurasia and Oceania after the out-of-Africa bottleneck. In contrast to demographic reconstructions based on mtDNA, we infer a second strong bottleneck in Y-chromosome lineages dating to the last 10 ky. We hypothesize that this bottleneck is caused by cultural changes affecting variance of reproductive success among males.

Genomic analyses inform on migration events during the peopling of Eurasia

High-coverage whole-genome sequence studies have so far focused on a limited number of geographically restricted populations, or been targeted at specific diseases, such as cancer. Nevertheless, the availability of high-resolution genomic data has led to the development of new methodologies for inferring population history and refuelled the debate on the mutation rate in humans. Here we present the Estonian Biocentre Human Genome Diversity Panel (EGDP), a dataset of 483 high-coverage human genomes from 148 populations worldwide, including 379 new genomes from 125 populations, which we group into diversity and selection sets. We analyse this dataset to refine estimates of continent-wide patterns of heterozygosity, long- and short-distance gene flow, archaic admixture, and changes in effective population size through time as well as for signals of positive or balancing selection. We find a genetic signature in present-day Papuans that suggests that at least 2% of their genome originates from an early and largely extinct expansion of anatomically modern humans (AMHs) out of Africa. Together with evidence from the western Asian fossil record, and admixture between AMHs and Neanderthals predating the main Eurasian expansion, our results contribute to the mounting evidence for the presence of AMHs out of Africa earlier than 75,000 years ago.

A mitochondrial etiology of neurodegenerative diseases: evidence from Parkinson's disease.

Evidence continues to accrue implicating mitochondrial dysfunction in the etiology of a number of neurodegenerative diseases. For example, Parkinsons disease (PD) can be induced by mitochondrial toxins, and nuclear DNA (nDNA) loci linked to PD have been associated with mitochondrial dysfunction. Although conclusions about the role of mitochondrial DNA (mtDNA) variants in PD vary, we argue here that this is attributable to the novel genetics of the mtDNA and the fact that clinically relevant mtDNA variation encompasses ancient adaptive polymorphisms, recent deleterious mutations, and somatic mutations. An mtDNA association with PD is supported by an analysis of the Russian Tatar population which revealed that polymorphisms associated with haplogroup H mtDNAs increased PD risk (odds ratio [OR]= 2.58, P= 0.0001), whereas those associated with haplogroup UK cluster mtDNAs were protective (OR = 0.38, P= 0.003). Moreover, mtDNA sequencing revealed that PD patients with either haplogroup H or UK cluster mtDNAs can harbor additional recent variants that might further modulate PD risk. Therefore, the complexity of PD genetics may reflect the complex mitochondrial genetics.

The Genetic Legacy of the Expansion of Turkic-Speaking Nomads across Eurasia

The Turkic peoples represent a diverse collection of ethnic groups defined by the Turkic languages. These groups have dispersed across a vast area, including Siberia, Northwest China, Central Asia, East Europe, the Caucasus, Anatolia, the Middle East, and Afghanistan. The origin and early dispersal history of the Turkic peoples is disputed, with candidates for their ancient homeland ranging from the Transcaspian steppe to Manchuria in Northeast Asia. Previous genetic studies have not identified a clear-cut unifying genetic signal for the Turkic peoples, which lends support for language replacement rather than demic diffusion as the model for the Turkic language’s expansion. We addressed the genetic origin of 373 individuals from 22 Turkic-speaking populations, representing their current geographic range, by analyzing genome-wide high-density genotype data. In agreement with the elite dominance model of language expansion most of the Turkic peoples studied genetically resemble their geographic neighbors. However, western Turkic peoples sampled across West Eurasia shared an excess of long chromosomal tracts that are identical by descent (IBD) with populations from present-day South Siberia and Mongolia (SSM), an area where historians center a series of early Turkic and non-Turkic steppe polities. While SSM matching IBD tracts (> 1cM) are also observed in non-Turkic populations, Turkic peoples demonstrate a higher percentage of such tracts (p-values ≤ 0.01) compared to their non-Turkic neighbors. Finally, we used the ALDER method and inferred admixture dates (~9th–17th centuries) that overlap with the Turkic migrations of the 5th–16th centuries. Thus, our results indicate historical admixture among Turkic peoples, and the recent shared ancestry with modern populations in SSM supports one of the hypothesized homelands for their nomadic Turkic and related Mongolic ancestors.

Carrier frequency of GJB2 gene mutations c.35delG, c.235delC and c.167delT among the populations of Eurasia.

Hearing impairment is one of the most common disorders of sensorineural function and the incidence of profound prelingual deafness is about 1 per 1000 at birth. GJB2 gene mutations make the largest contribution to hereditary hearing impairment. The spectrum and prevalence of some GJB2 mutations are known to be dependent on the ethnic origin of the population. This study presents data on the carrier frequencies of major GJB2 mutations, c.35delG, c.167delT and c.235delC, among 2308 healthy persons from 18 various populations of Eurasia: Russians, Bashkirs, Tatars, Chuvashes, Udmurts, Komi-Permyaks and Mordvins (Volga-Ural region of Russia); Belarusians and Ukrainians (East Europe); Abkhazians, Avars, Cherkessians and Ingushes (Caucasus); Kazakhs, Uighurs and Uzbeks (Central Asia); and Yakuts and Altaians (Siberia). The data on c.35delG and c.235delC mutation prevalence in the studied ethnic groups can be used to investigate the prospective founder effect in the origin and prevalence of these mutations in Eurasia and consequently in populations around the world.

Analysis of the IT15 Gene in Huntington's Disease Families

Direct molecular genetic testing carried out in 59 Huntingtons disease patients belonging to 46 families from Bashkortostan revealed the (CAG)n repeat expansion in exon 1 of the IT15 gene in 57 of them. By use of this analysis the disease status was not confirmed in two patients with atypical form of the disease and negative family history. The (CAG)n repeat expansion was identified in 27 out of 127 asymptomatic at-risk individuals. Analysis of the mutant (CAG)n allele inheritance demonstrated extremely high instability and high mutation rate predominantly leading to the appearance of the alleles with increasing number of (CAG)n repeats in subsequent generations. The instability was mostly observed in cases of paternal transmission. Almost complete linkage disequilibrium between the (CCG)7 mutant alleles and the del2642 deletion was demonstrated. Three major haplotypes revealed, (CCG)7/del–, (CCG)7/del+, and (CCG)10/del–, implied the existence of at least three sources of the origin of Huntingtons disease in Bashkortostan. The identified haplotype frequency distribution patterns displayed similarities with those in European populations. The contribution of a number of genetic factors to the age of onset of Huntingtons disease was analyzed.

Frequency of the 35delG Mutation of the Connexin 26 Gene (GJB2) in Patients with Non-Syndromic Recessive Deafness from Bashkortostan and in Ethnic Groups of the Volga–Ural Region

Congenital deafness is a relatively common human disorder, occurring in one per 1000 newborns on average. Deafness is genetically determined in about half of patients. Of all cases of non-syndromic deafness, 75% are autosomal recessive, 10–15% autosomal dominant, and 10–15% X-linked [1–3]. Non-syndromic autosomal recessive deafness (DFNB1) is the most common form of inherited hearing loss, is clinically polymorphic and genetically heterogeneous. This is a neurosensory disorder with distorted acoustic sense [4]. The most common cause is a mutation in the GJB2 gene, which codes for gap junction protein connexin 26 and is in region q11–q13 of chromosome 13 [5–9]. Connexin 26 is a transmembrane protein involved in formation of connexon, which consists of six subunits. The 35delG mutation in GJB2 results in a stop codon and prevents synthesis of the functional protein in hair cells of the internal ear. This impairs the formation of connexons, which are essential for intercellular transport of K + from endolymph to hair and other cells of the internal ear. As a consequence, the action potential is not generated in hair cells, and the nervous impulse is not transmitted to the relevant brain structures. Mutations of GJB2 may cause recessive (DFNA1) or dominant (DFNA3) deafness, and their spectrum and frequencies vary with population. The 35delG mutation accounts for about 20% of hereditary deafness cases [12] and occurs in heterozygote in one of every 33 people of the West European population [8, 9]. Two other known mutations are 167delT, which is widespread in Ashkenazi Jews [13], and 235delC, which is characteristic of Asian populations [14–16]. Certain GJB2 mutations lead to dominant deafness [17, 18]. To optimize the DNA diagnostics of non-syndromic recessive deafness, it is necessary to analyze GJB2 in patients from various regions and ethnic groups. The Volga–Ural region, which is at the boundary between Europe and Asia, is of particular interest, because its ethnic populations mostly belong to the Turk, Finno-Ugric, and Slavonic linguistic groups; have complex ethnogenesis and specific features of the gene pool and genetic structure; and combine the Caucasian and Mongoloid components in various proportions [19].

Between Lake Baikal and the Baltic Sea: genomic history of the gateway to Europe

BackgroundThe history of human populations occupying the plains and mountain ridges separating Europe from Asia has been eventful, as these natural obstacles were crossed westward by multiple waves of Turkic and Uralic-speaking migrants as well as eastward by Europeans. Unfortunately, the material records of history of this region are not dense enough to reconstruct details of population history. These considerations stimulate growing interest to obtain a genetic picture of the demographic history of migrations and admixture in Northern Eurasia.ResultsWe genotyped and analyzed 1076 individuals from 30 populations with geographical coverage spanning from Baltic Sea to Baikal Lake. Our dense sampling allowed us to describe in detail the population structure, provide insight into genomic history of numerous European and Asian populations, and significantly increase quantity of genetic data available for modern populations in region of North Eurasia. Our study doubles the amount of genome-wide profiles available for this region.We detected unusually high amount of shared identical-by-descent (IBD) genomic segments between several Siberian populations, such as Khanty and Ket, providing evidence of genetic relatedness across vast geographic distances and between speakers of different language families. Additionally, we observed excessive IBD sharing between Khanty and Bashkir, a group of Turkic speakers from Southern Urals region. While adding some weight to the “Finno-Ugric” origin of Bashkir, our studies highlighted that the Bashkir genepool lacks the main “core”, being a multi-layered amalgamation of Turkic, Ugric, Finnish and Indo-European contributions, which points at intricacy of genetic interface between Turkic and Uralic populations. Comparison of the genetic structure of Siberian ethnicities and the geography of the region they inhabit point at existence of the “Great Siberian Vortex” directing genetic exchanges in populations across the Siberian part of Asia.Slavic speakers of Eastern Europe are, in general, very similar in their genetic composition. Ukrainians, Belarusians and Russians have almost identical proportions of Caucasus and Northern European components and have virtually no Asian influence. We capitalized on wide geographic span of our sampling to address intriguing question about the place of origin of Russian Starovers, an enigmatic Eastern Orthodox Old Believers religious group relocated to Siberia in seventeenth century. A comparative reAdmix analysis, complemented by IBD sharing, placed their roots in the region of the Northern European Plain, occupied by North Russians and Finno-Ugric Komi and Karelian people. Russians from Novosibirsk and Russian Starover exhibit ancestral proportions close to that of European Eastern Slavs, however, they also include between five to 10 % of Central Siberian ancestry, not present at this level in their European counterparts.ConclusionsOur project has patched the hole in the genetic map of Eurasia: we demonstrated complexity of genetic structure of Northern Eurasians, existence of East-West and North-South genetic gradients, and assessed different inputs of ancient populations into modern populations.

MFN2 gene analysis in patients with hereditary motor and sensory neuropathy from Bashkortostan Republic

Hereditary motor and sensory neuropathy (HMSN) type IIA is caused by mutations in the mitofusin type-2 (MFN2) gene and represents one of the most common axonal forms of HMSN. We determined the spectrum and frequency of MFN2 gene mutations in patients from the Bashkortostan Republic (BR). Four different mutations were revealed in 5 out of 170 unrelated patients, i.e., c.2113G>A (p.Val705Ile) (1.2% among all types of HMSN in the total sample of patients and 2% among patients of Tatar ethnicity). This mutation was described previously; c.775C>T (p.Arg259Cys) (0.6%, in the total sample of patients and 2% among the patients of Tatar ethnicity); c.776G>A (p.Arg259His) (0.6% in the total sample of patients and 1.5% among the patients of Russians ethnicity); and c.2171T>C (p.Leu724Pro) (1.2% in the total sample of patients and 7.4% among the patients of Bashkirs ethnicity). These are new mutations that were not observed among healthy family members and in control samples of healthy subjects. Five identified nucleotide substitutions represent single nucleotide polymorphisms of the gene, including c.892G>A (p.Gly298Arg), c.957C>T (Gly319Gly), and c1039-222t>c, which were described previously, while c.175+28c>t and c.2204+15t>c represent new nucleotide substitutions in the intron regions of the gene.

Distribution of the HLA-DRB1 Specificities in Populations of the Volga–Ural Region

Polymorphism at the HLA-DRB1 locus in six Turkic (Bashkirs, Tatars, and Chuvashes) and Finno-Ugric (Udmurts, Maris, and Komis) populations of the Volga–Ural region was studied by PCR. A total of 12 DRB1 specificities displaying population-specific frequency distribution patterns were described. The most frequently observed specificities in Bashkirs and Udmurts were DRB1*07 (25 and 34%, respectively) and *15 (by 15%). In Tatars the prevalence of *04 (18%), *01 (17%), *07 (16%), and *15 (13%) specificities was observed, while in Chuvashes these were *04 (28%), *11 (18%), *01 (16%), and *07 (16%). High frequencies of *11 (21%),*04 (17%), *01 (13%), and *07 (13%) specificities were characteristic of Komis, whereas Maris were distinguished by high frequencies of *01 (23%), *11 (14%), *07 (13%), and *04 (11%). In general, the pattern of DRB1 allelic polymorphism in populations of the Volga–Ural region, occupying the intermediate position between the Caucasoid- and Mongoloid-specific allelic frequency distribution patterns, was consistent with their anthropological type rather than with their linguistic affiliation.