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Borisova TV, Cherdonova AM, Pshennikova VG, Teryutin FM, Morozov IV, Bondar AA, Baturina OA, Kabilov MR, Romanov GP, Solovyev AV, Fedorova SA, Barashkov NA. High prevalence of m.1555A > G in patients with hearing loss in the Baikal Lake region of Russia as a result of founder effect. Sci Rep 2024; 14:15342. [PMID: 38961196 PMCID: PMC11222474 DOI: 10.1038/s41598-024-66254-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 07/01/2024] [Indexed: 07/05/2024] Open
Abstract
Mitochondrial forms account approximately 1-2% of all nonsyndromic cases of hearing loss (HL). One of the most common causative variants of mtDNA is the m.1555A > G variant of the MT-RNR1 gene (OMIM 561000). Currently the detection of the m.1555A > G variant of the MT-RNR1 gene is not included in all research protocols. In this study this variant was screened among 165 patients with HL from the Republic of Buryatia, located in the Baikal Lake region of Russia. In our study, the total contribution of the m.1555A > G variant to the etiology of HL was 12.7% (21/165), while the update global prevalence of this variant is 1.8% (863/47,328). The m.1555A > G variant was notably more prevalent in Buryat (20.2%) than in Russian patients (1.3%). Mitogenome analysis in 14 unrelated Buryat families carrying the m.1555A > G variant revealed a predominant lineage: in 13 families, a cluster affiliated with sub-haplogroup A5b (92.9%) was identified, while one family had the D5a2a1 lineage (7.1%). In a Russian family with the m.1555A > G variant the lineage affiliated with sub-haplogroup F1a1d was found. Considering that more than 90% of Buryat families with the m.1555A > G variant belong to the single maternal lineage cluster we conclude that high prevalence of this variant in patients with HL in the Baikal Lake region can be attributed to a founder effect.
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Affiliation(s)
- Tuyara V Borisova
- Laboratory of Molecular Biology, Institute of Natural Sciences, M.K. Ammosov North-Eastern Federal University, Kulakovskogo 46, 677013, Yakutsk, Russia
| | - Aleksandra M Cherdonova
- Laboratory of Molecular Biology, Institute of Natural Sciences, M.K. Ammosov North-Eastern Federal University, Kulakovskogo 46, 677013, Yakutsk, Russia
| | - Vera G Pshennikova
- Laboratory of Molecular Biology, Institute of Natural Sciences, M.K. Ammosov North-Eastern Federal University, Kulakovskogo 46, 677013, Yakutsk, Russia
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yaroslavskogo 6/3, 677000, Yakutsk, Russia
| | - Fedor M Teryutin
- Laboratory of Molecular Biology, Institute of Natural Sciences, M.K. Ammosov North-Eastern Federal University, Kulakovskogo 46, 677013, Yakutsk, Russia
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yaroslavskogo 6/3, 677000, Yakutsk, Russia
| | - Igor V Morozov
- SB RAS Genomics Core Facility, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Prospekt Akademika Lavrentieva 8, 630090, Novosibirsk, Russia
- Novosibirsk State University, 630090, Novosibirsk, Russia
| | - Alexander A Bondar
- SB RAS Genomics Core Facility, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Prospekt Akademika Lavrentieva 8, 630090, Novosibirsk, Russia
| | - Olga A Baturina
- SB RAS Genomics Core Facility, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Prospekt Akademika Lavrentieva 8, 630090, Novosibirsk, Russia
| | - Marsel R Kabilov
- SB RAS Genomics Core Facility, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Prospekt Akademika Lavrentieva 8, 630090, Novosibirsk, Russia
| | - Georgii P Romanov
- Laboratory of Molecular Biology, Institute of Natural Sciences, M.K. Ammosov North-Eastern Federal University, Kulakovskogo 46, 677013, Yakutsk, Russia
| | - Aisen V Solovyev
- Laboratory of Molecular Biology, Institute of Natural Sciences, M.K. Ammosov North-Eastern Federal University, Kulakovskogo 46, 677013, Yakutsk, Russia
| | - Sardana A Fedorova
- Laboratory of Molecular Biology, Institute of Natural Sciences, M.K. Ammosov North-Eastern Federal University, Kulakovskogo 46, 677013, Yakutsk, Russia
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yaroslavskogo 6/3, 677000, Yakutsk, Russia
| | - Nikolay A Barashkov
- Laboratory of Molecular Biology, Institute of Natural Sciences, M.K. Ammosov North-Eastern Federal University, Kulakovskogo 46, 677013, Yakutsk, Russia.
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yaroslavskogo 6/3, 677000, Yakutsk, Russia.
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Malyarchuk BA, Derenko MV. Genetic history of the Koryaks and Evens of the Magadan region based on Y chromosome polymorphism data. Vavilovskii Zhurnal Genet Selektsii 2024; 28:90-97. [PMID: 38465253 PMCID: PMC10917666 DOI: 10.18699/vjgb-24-11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/29/2023] [Accepted: 11/29/2023] [Indexed: 03/12/2024] Open
Abstract
In order to clarify the history of gene pool formation of the indigenous populations of the Northern Priokhotye (the northern coast of the Sea of Okhotsk), Y-chromosome polymorphisms were studied in the Koryaks and Evens living in the Magadan region. The results of the study showed that the male gene pool of the Koryaks is represented by haplogroups C-B90-B91, N-B202, and Q-B143, which are also widespread in other peoples of Northeastern Siberia, mainly of Paleo-Asiatic origin. High frequency of haplogroup C-B80, typical of other Tungus-Manchurian peoples, is characteristic of the Evens of the Magadan region. The shared components of the gene pools of the Koryaks and Evens are haplogroups R-M17 and I-P37.2 inherited as a result of admixture with Eastern Europeans (mainly Russians). The high frequency of such Y chromosome haplogroups in the Koryaks (16.7 %) and Evens (37.8 %) is indicative of close interethnic contacts during the last centuries, and most probably especially during the Soviet period. The genetic contribution of the European males' Y chromosome significantly prevails over that of maternally inherited mitochondrial DNA. The study of the Y chromosome haplogroup diversity has shown that only relatively young phylogenetic branches have been preserved in the Koryak gene pool. The age of the oldest component of the Koryak gene pool (haplogroup C-B90-B91) is estimated to be about 3.8 thousand years, the age of the younger haplogroups Q-B143 and N-B202 is about 2.8 and 2.4 thousand years, respectively. Haplogroups C-B90-B91 and N-B202 are Siberian in origin, and haplogroup Q-B143 was apparently inherited by the ancestors of the Koryaks and other Paleo-Asiatic peoples from the Paleo-Eskimos as a result of their migrations to Northeast Asia from the Americas. The analysis of microsatellite loci for haplogroup Q-B143 in the Eskimos of Greenland, Canada and Alaska as well as in the indigenous peoples of Northeastern Siberia showed a decrease in genetic diversity from east to west, pointing to the direction of distribution of the Paleo-Eskimo genetic component in the circumpolar region of America and Asia. At the same time, the Evens appeared in the Northern Priokhotye much later (in the XVII century) as a result of the expansion of the Tungusic tribes, which is confirmed by the results of the analysis of haplogroup C-B80 polymorphisms.
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Affiliation(s)
- B A Malyarchuk
- Institute of Biological Problems of the North of the Far-Eastern Branch of the Russian Academy of Sciences, Magadan, Russia
| | - M V Derenko
- Institute of Biological Problems of the North of the Far-Eastern Branch of the Russian Academy of Sciences, Magadan, Russia
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Kalyakulina A, Yusipov I, Kondakova E, Bacalini MG, Giuliani C, Sivtseva T, Semenov S, Ksenofontov A, Nikolaeva M, Khusnutdinova E, Zakharova R, Vedunova M, Franceschi C, Ivanchenko M. Epigenetics of the far northern Yakutian population. Clin Epigenetics 2023; 15:189. [PMID: 38053163 PMCID: PMC10699032 DOI: 10.1186/s13148-023-01600-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 11/13/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Yakuts are one of the indigenous populations of the subarctic and arctic territories of Siberia characterized by a continental subarctic climate with severe winters, with the regular January average temperature in the regional capital city of Yakutsk dipping below - 40 °C. The epigenetic mechanisms of adaptation to such ecologies and environments and, in particular, epigenetic age acceleration in the local population have not been studied before. RESULTS This work reports the first epigenetic study of the Yakutian population using whole-blood DNA methylation data, supplemented with the comparison to the residents of Central Russia. Gene set enrichment analysis revealed, among others, geographic region-specific differentially methylated regions associated with adaptation to climatic conditions (water consumption, digestive system regulation), aging processes (actin filament activity, cell fate), and both of them (channel activity, regulation of steroid and corticosteroid hormone secretion). Further, it is demonstrated that the epigenetic age acceleration of the Yakutian representatives is significantly higher than that of Central Russia counterparts. For both geographic regions, we showed that epigenetically males age faster than females, whereas no significant sex differences were found between the regions. CONCLUSIONS We performed the first study of the epigenetic data of the Yakutia cohort, paying special attention to region-specific features, aging processes, age acceleration, and sex specificity.
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Affiliation(s)
- Alena Kalyakulina
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, 603022, Russia.
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, 603022, Russia.
| | - Igor Yusipov
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
| | - Elena Kondakova
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
- Institute of Biology and Biomedicine, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
| | | | - Cristina Giuliani
- Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126, Bologna, Italy
| | - Tatiana Sivtseva
- Research Center of the Medical Institute of the North-Eastern Federal University M.K. Ammosova, Yakutsk, 677013, Russia
| | - Sergey Semenov
- Research Center of the Medical Institute of the North-Eastern Federal University M.K. Ammosova, Yakutsk, 677013, Russia
| | - Artem Ksenofontov
- State Budgetary Institution of the Republic of Sakha (Yakutia) Republican Center for Public Health and Medical Prevention, Yakutsk, 677001, Russia
| | - Maria Nikolaeva
- Research Center of the Medical Institute of the North-Eastern Federal University M.K. Ammosova, Yakutsk, 677013, Russia
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia, 450054
| | - Raisa Zakharova
- Research Center of the Medical Institute of the North-Eastern Federal University M.K. Ammosova, Yakutsk, 677013, Russia
| | - Maria Vedunova
- Institute of Biology and Biomedicine, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
| | - Claudio Franceschi
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
| | - Mikhail Ivanchenko
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, 603022, Russia
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Gromenko YY, Galimov KS, Gilyazova IR, Galimova EF, Bulygin KV, Ryagin SN, Galimov SN, Litvitskiy PF, Piavchenko GA, Pavlov VN. Single nucleotide polymorphism rs527236194 of the cytochrome B gene (MT-CYB) is associated with alterations in sperm parameters. Mol Biol Rep 2023; 50:10131-10136. [PMID: 37921983 DOI: 10.1007/s11033-023-08849-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 09/26/2023] [Indexed: 11/05/2023]
Abstract
BACKGROUND The mitochondrial genome is substantially susceptible to mutations and has high polymorphism due to structural features, location, and lack of recombinant variability, as its inheritance is strictly maternal. All of these events can be accompanied by the accumulation of mitochondrial single nucleotide polymorphisms (mtSNPs) in the sperm. The aim of this research was to analyze the influence of mutations in the MT-CYB gene on sperm quality. METHODS AND RESULTS We conducted a case‒control study to identify mutations in the mitochondrial cytochrome B (MT-CYB) gene in men with asthenoteratozoospermia (89 cases) and oligoasthenoteratozoospermia (65 cases). The comparison group consisted of 164 fertile men. Somatic cell lysis followed by mtDNA extraction was conducted to analyze three mtDNA polymorphisms, rs28357373 (T15629C (Leu295=), rs527236194 (T15784C (p.Pro346=), rs2853506 (A15218G, p.Thr158Ala). Detection and genotyping of polymorphic loci in the MT-CYB gene was performed using the TaqMan allelic discrimination assay. To verify mutations in the MT-CYB gene, automated Sanger DNA sequencing was used. We found that rs527236194 was associated with asthenoteratozoospermia. rs28357373 in the MT-CYB gene did not show any polymorphism in the analyzed groups, which indicates a rare frequency of the TT genotype in our region. Rs28357373 and rs2853506 are not associated with male sperm abnormalities in the Volga-Ural region. CONCLUSION The association of the rs527236194 polymorphic variant with sperm parameter alterations suggests its role in the pathophysiology of male infertility and requires further investigation in larger samples.
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Affiliation(s)
- Yulia Yu Gromenko
- Medical Center "Family", Ufa, 450054, Russia
- Bashkir State Medical University, Ufa, 450008, Russia
| | - Kamil S Galimov
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University, 8/2 Trubetskaya str, Moscow, 119991, Russian Federation
| | | | | | - Kirill V Bulygin
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University, 8/2 Trubetskaya str, Moscow, 119991, Russian Federation
- M.V. Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Sergey N Ryagin
- Moscow University for Industry and Finance «Synergy», Moscow, 125190, Russia
| | | | - Peter F Litvitskiy
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University, 8/2 Trubetskaya str, Moscow, 119991, Russian Federation
| | - Gennadii A Piavchenko
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University, 8/2 Trubetskaya str, Moscow, 119991, Russian Federation.
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Derenko M, Denisova G, Litvinov A, Dambueva I, Malyarchuk B. Mitogenomics of the Koryaks and Evens of the northern coast of the Sea of Okhotsk. J Hum Genet 2023; 68:705-712. [PMID: 37316650 DOI: 10.1038/s10038-023-01173-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/31/2023] [Accepted: 06/07/2023] [Indexed: 06/16/2023]
Abstract
Due to the geographical proximity of the northern coast of the Sea of Okhotsk and Kamchatka Peninsula to the Beringia, the indigenous populations of these territories are of great interest for elucidating the human settlement history of northern Asia and America. Meanwhile, there is a clear shortage of genetic studies of the indigenous populations of the northern coast of the Sea of Okhotsk. Here, in order to examine their fine-scale matrilineal genetic structure, ancestry and relationships with neighboring populations, we analyzed 203 complete mitogenomes (174 of which are new) from population samples of the Koryaks and Evens of the northern coast of the Sea of Okhotsk and the Chukchi of the extreme northeast Asia. The patterns observed underscore the reduced level of genetic diversity found in the Koryak, Even, and Chukchi populations, which, along with the high degree of interpopulation differentiation, may be the result of genetic drift. Our phylogeographic analysis reveals common Paleo-Asiatic ancestry for 51.1% of the Koryaks and 17.8% of the Evens. About third of the mitogenomes found in the Koryaks and Evens might be considered as ethno-specific, as these are virtually absent elsewhere in North, Central and East Asia. Coalescence ages of most of these lineages coincide well with the emergence and development of the Tokarev and Old Koryak archaeological cultures associated with the formation of the Koryaks, as well as with the period of separation and split of the North Tungusic groups migrated northwards from the Lake Baikal or the Amur River area.
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Affiliation(s)
- Miroslava Derenko
- Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya Street, 18, Magadan, 685000, Russia.
| | - Galina Denisova
- Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya Street, 18, Magadan, 685000, Russia
| | - Andrey Litvinov
- Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya Street, 18, Magadan, 685000, Russia
| | - Irina Dambueva
- Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya Street, 18, Magadan, 685000, Russia
| | - Boris Malyarchuk
- Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya Street, 18, Magadan, 685000, Russia
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Kovalenko E, Vergasova E, Shoshina O, Popov I, Ilinskaya A, Kim A, Plotnikov N, Barenbaum I, Elmuratov A, Ilinsky V, Volokh O, Rakitko A. Lactase deficiency in Russia: multiethnic genetic study. Eur J Clin Nutr 2023:10.1038/s41430-023-01294-8. [PMID: 37311868 DOI: 10.1038/s41430-023-01294-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 05/15/2023] [Accepted: 05/24/2023] [Indexed: 06/15/2023]
Abstract
BACKGROUND Lactase persistence-the ability to digest lactose through adulthood-is closely related to evolutionary adaptations and has affected many populations since the beginning of cattle breeding. Nevertheless, the contrast initial phenotype, lactase non-persistence or adult lactase deficiency, is still observed in large numbers of people worldwide. METHODS We performed a multiethnic genetic study of lactase deficiency on 24,439 people, the largest in Russia to date. The percent of each population group was estimated according to the local ancestry inference results. Additionally, we calculated frequencies of rs4988235 GG genotype in Russian regions using the information of current location and birthplace data from the client's questionnaire. RESULTS The attained results show that among all studied population groups, the frequency of GG genotype in rs4988235 is higher than the average in the European populations. In particular, the prevalence of lactase deficiency genotype in the East Slavs group was 42.8% (95% CI: 42.1-43.4%). We also investigated the regional prevalence of lactase deficiency based on the current place of residence. CONCLUSIONS Our study emphasizes the significance of genetic testing for diagnostics, i.e., specifically for lactose intolerance parameter, as well as the scale of the problem of lactase deficiency in Russia which needs to be addressed by the healthcare and food sectors.
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Affiliation(s)
| | | | - Olesya Shoshina
- Lomonosov Moscow State University, Faculty of Biology, Moscow, Russia
| | | | | | | | | | | | | | | | - Olesya Volokh
- Lomonosov Moscow State University, Faculty of Biology, Moscow, Russia
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The matrilineal ancestry of Nepali populations. Hum Genet 2023; 142:167-180. [PMID: 36242641 DOI: 10.1007/s00439-022-02488-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/17/2022] [Indexed: 11/04/2022]
Abstract
The Tibetan plateau and high mountain ranges of Nepal are one of the challenging geographical regions inhabited by modern humans. While much of the ethnographic and population-based genetic studies were carried out to investigate the Tibetan and Sherpa highlanders, little is known about the demographic processes that enabled the colonization of the hilly areas of Nepal. Thus, the present study aimed to investigate the past demographic events that shaped the extant Nepalese genetic diversity using mitochondrial DNA (mtDNA) variations from ethnic Nepalese groups. We have analyzed mtDNA sequences of 999 Nepalese and compared data with 38,622 published mtDNA sequences from rest of the world. Our analysis revealed that the genomic landscapes of prehistoric Himalayan settlers of Nepal were similar to that of the low-altitude extant Nepalese (LAN), especially Newar and Magar population groups, but differ from contemporary high-altitude Sherpas. LAN might have derived their East Eurasian ancestry mainly from low-altitude Tibeto-Burmans, who likely have migrated from East Asia and assimilated across the Eastern Himalayas extended from the Eastern Nepal to the North-East of India, Bhutan, Tibet and Northern Myanmar. We also identified a clear genetic sub-structure across different ethnic groups of Nepal based on mtDNA haplogroups and ectodysplasin-A receptor (EDAR) gene polymorphism. Our comprehensive high-resolution mtDNA-based genetic study of Tibeto-Burman communities reconstructs the maternal origins of prehistoric Himalayan populations and sheds light on migration events that have brought most of the East Eurasian ancestry to the present-day Nepalese population.
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Albert EA, Kondratieva OA, Baranova EE, Sagaydak OV, Belenikin MS, Zobkova GY, Kuznetsova ES, Deviatkin AA, Zhurov AA, Karpulevich EA, Volchkov PY, Vorontsova MV. Transferability of the PRS estimates for height and BMI obtained from the European ethnic groups to the Western Russian populations. Front Genet 2023; 14:1086709. [PMID: 36726807 PMCID: PMC9885218 DOI: 10.3389/fgene.2023.1086709] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/05/2023] [Indexed: 01/17/2023] Open
Abstract
Genetic data plays an increasingly important role in modern medicine. Decrease in the cost of sequencing with subsequent increase in imputation accuracy, and the accumulation of large amounts of high-quality genetic data enable the creation of polygenic risk scores (PRSs) to perform genotype-phenotype associations. The accuracy of phenotype prediction primarily depends on the overall trait heritability, Genome-wide association studies cohort size, and the similarity of genetic background between the base and the target cohort. Here we utilized 8,664 high coverage genomic samples collected across Russia by "Evogen", a Russian biomedical company, to evaluate the predictive power of PRSs based on summary statistics established on cohorts of European ancestry for basic phenotypic traits, namely height and BMI. We have demonstrated that the PRSs calculated for selected traits in three distinct Russian populations, recapitulate the predictive power from the original studies. This is evidence that GWAS summary statistics calculated on cohorts of European ancestry are transferable onto at least some ethnic groups in Russia.
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Affiliation(s)
- E. A. Albert
- National Medical Research Center for Endocrinology, Moscow, Russia,Life Sciences Research Center, Moscow Institute of Physics and Technology, Dolgoprudniy, Russia,*Correspondence: E. A. Albert,
| | - O. A. Kondratieva
- Department of Information Systems, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
| | | | | | | | | | | | - A. A. Deviatkin
- National Medical Research Center for Endocrinology, Moscow, Russia,Life Sciences Research Center, Moscow Institute of Physics and Technology, Dolgoprudniy, Russia
| | - A. A. Zhurov
- National Medical Research Center for Endocrinology, Moscow, Russia
| | - E. A. Karpulevich
- Department of Information Systems, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
| | - P. Y. Volchkov
- National Medical Research Center for Endocrinology, Moscow, Russia,Life Sciences Research Center, Moscow Institute of Physics and Technology, Dolgoprudniy, Russia
| | - M. V. Vorontsova
- National Medical Research Center for Endocrinology, Moscow, Russia
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Peltola S, Majander K, Makarov N, Dobrovolskaya M, Nordqvist K, Salmela E, Onkamo P. Genetic admixture and language shift in the medieval Volga-Oka interfluve. Curr Biol 2023; 33:174-182.e10. [PMID: 36513080 DOI: 10.1016/j.cub.2022.11.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/23/2022] [Accepted: 11/17/2022] [Indexed: 12/14/2022]
Abstract
The Volga-Oka interfluve in northwestern Russia has an intriguing history of population influx and language shift during the Common Era. Today, most inhabitants of the region speak Russian, but until medieval times, northwestern Russia was inhabited by Uralic-speaking peoples.1,2,3 A gradual shift to Slavic languages started in the second half of the first millennium with the expansion of Slavic tribes, which led to the foundation of the Kievan Rus' state in the late 9th century CE. The medieval Rus' was multicultural and multilingual-historical records suggest that its northern regions comprised Slavic and Uralic peoples ruled by Scandinavian settlers.4,5,6 In the 10th-11th centuries, the introduction of Christianity and Cyrillic literature raised the prestige status of Slavic, driving a language shift from Uralic to Slavic.3 This eventually led to the disappearance of the Uralic languages from northwestern Russia. Here, we study a 1,500-year time transect of 30 ancient genomes and stable isotope values from the Suzdal region in the Volga-Oka interfluve. We describe a previously unsampled local Iron Age population and a gradual genetic turnover in the following centuries. Our time transect captures the population shift associated with the spread of Slavic languages and illustrates the ethnically mixed state of medieval Suzdal principality, eventually leading to the formation of the admixed but fully Slavic-speaking population that inhabits the area today. We also observe genetic outliers that highlight the importance of the Suzdal region in medieval times as a hub of long-reaching contacts via trade and warfare.
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Affiliation(s)
- Sanni Peltola
- Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany.
| | - Kerttu Majander
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Nikolaj Makarov
- Institute of Archaeology, Russian Academy of Sciences, 117292 Moscow, Russia
| | - Maria Dobrovolskaya
- Institute of Archaeology, Russian Academy of Sciences, 117292 Moscow, Russia
| | - Kerkko Nordqvist
- Department of Cultures, Archaeology, University of Helsinki, 00014 Helsinki, Finland
| | - Elina Salmela
- Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany; Department of Biology, University of Turku, 20014 Turku, Finland
| | - Päivi Onkamo
- Department of Biology, University of Turku, 20014 Turku, Finland.
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Fedorova SA, Khusnutdinova EK. Genetic Structure and Genetic History of the Sakha (Yakuts) Population. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422120031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Kidd KK, Evsanaa B, Togtokh A, Brissenden JE, Roscoe JM, Dogan M, Neophytou PI, Gurkan C, Bulbul O, Cherni L, Speed WC, Murtha M, Kidd JR, Pakstis AJ. North Asian population relationships in a global context. Sci Rep 2022; 12:7214. [PMID: 35508562 PMCID: PMC9068624 DOI: 10.1038/s41598-022-10706-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 04/01/2022] [Indexed: 12/20/2022] Open
Abstract
Population genetic studies of North Asian ethnic groups have focused on genetic variation of sex chromosomes and mitochondria. Studies of the extensive variation available from autosomal variation have appeared infrequently. We focus on relationships among population samples using new North Asia microhaplotype data. We combined genotypes from our laboratory on 58 microhaplotypes, distributed across 18 autosomes, on 3945 individuals from 75 populations with corresponding data extracted for 26 populations from the Thousand Genomes consortium and for 22 populations from the GenomeAsia 100 K project. A total of 7107 individuals in 122 total populations are analyzed using STRUCTURE, Principal Component Analysis, and phylogenetic tree analyses. North Asia populations sampled in Mongolia include: Buryats, Mongolians, Altai Kazakhs, and Tsaatans. Available Siberians include samples of Yakut, Khanty, and Komi Zyriane. Analyses of all 122 populations confirm many known relationships and show that most populations from North Asia form a cluster distinct from all other groups. Refinement of analyses on smaller subsets of populations reinforces the distinctiveness of North Asia and shows that the North Asia cluster identifies a region that is ancestral to Native Americans.
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Affiliation(s)
- Kenneth K Kidd
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
| | - Baigalmaa Evsanaa
- Department of Nephrology, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Ariunaa Togtokh
- Department of Nephrology, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | | | - Janet M Roscoe
- Department of Medicine, University of Toronto, Toronto, ON, Canada.,The Scarborough Hospital, Toronto, ON, Canada
| | - Mustafa Dogan
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | | | - Cemal Gurkan
- Turkish Cypriot DNA Laboratory, Committee On Missing Persons in Cyprus Turkish Cypriot Member Office, Nicosia, North Cyprus, Turkey.,Dr. Fazıl Küçük Faculty of Medicine, Eastern Mediterranean University, Famagusta, North Cyprus, Turkey
| | - Ozlem Bulbul
- Institute of Forensic Science, Istanbul University, Cerrahpasa, 34500, Istanbul, Turkey
| | - Lotfi Cherni
- Laboratory of Genetics, Immunology and Human Pathologies, Faculty of Sciences of Tunis, University of Tunis El Manar, 2092, Tunis, Tunisia.,Higher Institute of Biotechnology of Monastir, Monastir University, 5000, Monastir, Tunisia
| | - William C Speed
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Michael Murtha
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Judith R Kidd
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Andrew J Pakstis
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
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12
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Agent-Based Modeling of Autosomal Recessive Deafness 1A (DFNB1A) Prevalence with Regard to Intensity of Selection Pressure in Isolated Human Population. BIOLOGY 2022; 11:biology11020257. [PMID: 35205123 PMCID: PMC8869167 DOI: 10.3390/biology11020257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/28/2022] [Accepted: 02/03/2022] [Indexed: 01/09/2023]
Abstract
An increase in the prevalence of autosomal recessive deafness 1A (DFNB1A) in populations of European descent was shown to be promoted by assortative marriages among deaf people. Assortative marriages became possible with the widespread introduction of sign language, resulting in increased genetic fitness of deaf individuals and, thereby, relaxing selection against deafness. However, the effect of this phenomenon was not previously studied in populations with different genetic structures. We developed an agent-based computer model for the analysis of the spread of DFNB1A. Using this model, we tested the impact of different intensities of selection pressure against deafness in an isolated human population over 400 years. Modeling of the "purifying" selection pressure on deafness ("No deaf mating" scenario) resulted in a decrease in the proportion of deaf individuals and the pathogenic allele frequency. Modeling of the "relaxed" selection ("Assortative mating" scenario) resulted in an increase in the proportion of deaf individuals in the first four generations, which then quickly plateaued with a subsequent decline and a decrease in the pathogenic allele frequency. The results of neutral selection pressure modeling ("Random mating" scenario) showed no significant changes in the proportion of deaf individuals or the pathogenic allele frequency after 400 years.
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13
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A common founder effect of the splice site variant c.-23 + 1G > A in GJB2 gene causing autosomal recessive deafness 1A (DFNB1A) in Eurasia. Hum Genet 2021; 141:697-707. [PMID: 34839402 DOI: 10.1007/s00439-021-02405-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 11/21/2021] [Indexed: 10/19/2022]
Abstract
Mutations in the GJB2 gene are known to be a major cause of autosomal recessive deafness 1A (OMIM 220290). The most common pathogenic variants of the GJB2 gene have a high ethno-geographic specificity in their distribution, being attributed to a founder effect related to the Neolithic migration routes of Homo sapiens. The c.-23 + 1G > A splice site variant is frequently found among deaf patients of both Caucasian and Asian origins. It is currently unknown whether the spread of this mutation across Eurasia is a result of the founder effect or if it could have multiple local centers of origin. To determine the origin of c.-23 + 1G > A, we reconstructed haplotypes by genotyping SNPs on an Illumina OmniExpress 730 K platform of 23 deaf individuals homozygous for this variant from different populations of Eurasia. The analyses revealed the presence of common regions of homozygosity in different individual genomes in the sample. These data support the hypothesis of the common founder effect in the distribution of the c.-23 + 1G > A variant of the GJB2 gene. Based on the published data on the c.-23 + 1G > A prevalence among 16,177 deaf people and the calculation of the TMRCA of the modified f2-haplotypes carrying this variant, we reconstructed the potential migration routes of the carriers of this mutation around the world. This analysis indicates that the c.-23 + 1G > A variant in the GJB2 gene may have originated approximately 6000 years ago in the territory of the Caucasus or the Middle East then spread throughout Europe, South and Central Asia and other regions of the world.
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14
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Balanovsky O, Petrushenko V, Mirzaev K, Abdullaev S, Gorin I, Chernevskiy D, Agdzhoyan A, Balanovska E, Kryukov A, Temirbulatov I, Sychev D. Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:1391-1402. [PMID: 34764675 PMCID: PMC8575442 DOI: 10.2147/pgpm.s320609] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 10/04/2021] [Indexed: 01/10/2023]
Abstract
Background Information about the distribution of clinically significant genetic markers in different populations may be helpful in elaborating personalized approaches to the clinical management of COVID-19 in the absence of consensus guidelines. Aim Analyze frequencies and distribution patterns of two markers associated with severe COVID-19 (rs11385942 and rs657152) and look for potential correlations between these markers and deaths from COVID-19 among populations in Russia and across the world. Methods We genotyped 1883 samples from 91 ethnic groups pooled into 28 populations representing Russia and its neighbor states. We also compiled a dataset on 32 populations from other regions using genotypes extracted or imputed from the available databases. Geographic maps showing the frequency distribution of the analyzed markers were constructed using the obtained data. Results The cartographic analysis revealed that rs11385942 distribution follows the West Eurasian pattern: the marker is frequent among the populations of Europe, West Asia and South Asia but rare or absent in all other parts of the globe. Notably, the transition from high to low rs11385942 frequencies across Eurasia is not abrupt but follows the clinal variation pattern instead. The distribution of rs657152 is more homogeneous. The analysis of correlations between the frequencies of the studied markers and the epidemiological characteristics of COVID-19 in a population revealed that higher frequencies of both risk alleles correlated positively with mortality from this disease. For rs657152, the correlation was especially strong (r = 0.59, p = 0.02). These reasonable correlations were observed for the "Russian" dataset only: no such correlations were established for the "world" dataset. This could be attributed to the differences in methodology used to collect COVID-19 statistics in different countries. Conclusion Our findings suggest that genetic differences between populations make a small yet tangible contribution to the heterogeneity of the pandemic worldwide.
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Affiliation(s)
- Oleg Balanovsky
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
| | - Valeria Petrushenko
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Department of Bioinformatics Moscow Institute of Physics and Technology, Moscow, Russia
| | - Karin Mirzaev
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Sherzod Abdullaev
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Igor Gorin
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Department of Bioinformatics Moscow Institute of Physics and Technology, Moscow, Russia
| | - Denis Chernevskiy
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia
| | - Anastasiya Agdzhoyan
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia
| | - Elena Balanovska
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
| | - Alexander Kryukov
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Ilyas Temirbulatov
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Dmitriy Sychev
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
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15
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Sato T, Adachi N, Kimura R, Hosomichi K, Yoneda M, Oota H, Tajima A, Toyoda A, Kanzawa-Kiriyama H, Matsumae H, Koganebuchi K, Shimizu KK, Shinoda KI, Hanihara T, Weber A, Kato H, Ishida H. Whole-Genome Sequencing of a 900-Year-Old Human Skeleton Supports Two Past Migration Events from the Russian Far East to Northern Japan. Genome Biol Evol 2021; 13:6355032. [PMID: 34410389 PMCID: PMC8449830 DOI: 10.1093/gbe/evab192] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2021] [Indexed: 12/18/2022] Open
Abstract
Recent studies on paleogenomics have reported some Paleolithic and Neolithic genomes that have provided new insights into the human population history in East and Northeast Asia. However, there remain some cases where more recent migration events need to be examined to elucidate the detailed formation process of local populations. Although the area around northern Japan is one of the regions archaeologically suggested to have been affected by migration waves after the Neolithic period, the genetic source of these migrations are still unclear. Thus, genomic data from such past migrant populations would be highly informative to clarify the detailed formation process of local populations in this region. Here, we report the genome sequence of a 900-year-old adult female (NAT002) belonging to the prehistoric Okhotsk people, who have been considered to be the past migrants to northern Japan after the Neolithic period. We found a close relationship between NAT002 and modern Lower Amur populations and past admixture events between the Amur, Jomon, and Kamchatka ancestries. The admixture dating suggested migration of Amur-related ancestry at approximately 1,600 BP, which is compatible with the archaeological evidence regarding the settlement of the Okhotsk people. Our results also imply migration of Kamchatka-related ancestry at approximately 2,000 BP. In addition, human leukocyte antigen (HLA) typing detected the HLA-B*40 allele, which is reported to increase the risk of arthritis, suggesting the genetic vulnerability of NAT002 to hyperostosis, which was observed around her chest clavicle.
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Affiliation(s)
- Takehiro Sato
- Department of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan.,Department of Bioinformatics and Genomics, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Noboru Adachi
- Department of Legal Medicine, Graduate School of Medicine, University of Yamanashi, Chuo, Japan
| | - Ryosuke Kimura
- Department of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
| | - Kazuyoshi Hosomichi
- Department of Bioinformatics and Genomics, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Minoru Yoneda
- The University Museum, The University of Tokyo, Tokyo, Japan
| | - Hiroki Oota
- Department of Anatomy, Kitasato University School of Medicine, Sagamihara, Japan.,Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Atsushi Tajima
- Department of Bioinformatics and Genomics, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Atsushi Toyoda
- Comparative Genomics Laboratory, National Institute of Genetics, Mishima, Japan
| | | | - Hiromi Matsumae
- Kihara Institute for Biological Research (KIBR), Yokohama City University, Yokohama, Japan.,Department of Molecular Life Science, School of Medicine, Tokai University, Isehara, Japan
| | - Kae Koganebuchi
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.,Department of Biological Structure, Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan.,Advanced Medical Research Center, Faculty of Medicine, University of the Ryukyus, Nishihara, Japan
| | - Kentaro K Shimizu
- Kihara Institute for Biological Research (KIBR), Yokohama City University, Yokohama, Japan.,Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Ken-Ichi Shinoda
- Department of Anthropology, National Museum of Nature and Science, Tsukuba, Japan
| | - Tsunehiko Hanihara
- Department of Anatomy, Kitasato University School of Medicine, Sagamihara, Japan
| | - Andrzej Weber
- Department of Anthropology, University of Alberta, Edmonton, Alberta, Canada.,Research Centre "Baikal Region", Irkutsk State University, Irkutsk, Russia.,Laboratoire Méditerranéen de Préhistoire Europe Afrique (LAMPEA) - UMR 7269, Aix-Marseille Université, Aix-en-Provence, France
| | - Hirofumi Kato
- Centre for Ainu and Indigenous Studies, Hokkaido University, Sapporo, Japan
| | - Hajime Ishida
- Department of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
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16
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Matsumae H, Ranacher P, Savage PE, Blasi DE, Currie TE, Koganebuchi K, Nishida N, Sato T, Tanabe H, Tajima A, Brown S, Stoneking M, Shimizu KK, Oota H, Bickel B. Exploring correlations in genetic and cultural variation across language families in northeast Asia. SCIENCE ADVANCES 2021; 7:eabd9223. [PMID: 34407936 DOI: 10.1126/sciadv.abd9223] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 05/20/2021] [Indexed: 06/13/2023]
Abstract
Culture evolves in ways that are analogous to, but distinct from, genomes. Previous studies examined similarities between cultural variation and genetic variation (population history) at small scales within language families, but few studies have empirically investigated these parallels across language families using diverse cultural data. We report an analysis comparing culture and genomes from in and around northeast Asia spanning 11 language families. We extract and summarize the variation in language (grammar, phonology, lexicon), music (song structure, performance style), and genomes (genome-wide SNPs) and test for correlations. We find that grammatical structure correlates with population history (genetic history). Recent contact and shared descent fail to explain the signal, suggesting relationships that arose before the formation of current families. Our results suggest that grammar might be a cultural indicator of population history while also demonstrating differences among cultural and genetic relationships that highlight the complex nature of human history.
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Affiliation(s)
- Hiromi Matsumae
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
- Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813, Japan
| | - Peter Ranacher
- Department of Geography, University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland.
- URPP Language and Space, University of Zurich, Freiestrasse 16, 8032 Zurich, Switzerland
| | - Patrick E Savage
- Faculty of Environment and Information Studies, Keio University, Shonan Fujisawa Campus, 5322 Endo, Fujisawa, Kanagawa 252-0882, Japan.
- Department of Musicology, Tokyo University of the Arts, 110-8714 Tokyo, Japan
| | - Damián E Blasi
- Department of Comparative Language Science, University of Zurich, Plattenstrasse 54, 8032 Zurich, Switzerland
- Department of Human Evolutionary Biology, Harvard University, Peabody Museum, 5th Floor, 11 Divinity Avenue, Cambridge, MA 02138, USA
- Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Kahlaische Str. 10, 07745 Jena, Germany
- Linguistic Convergence Laboratory, School of Linguistics, Faculty of Humanities, Higher School of Economics University, 21/4 Staraya Basmannaya Ulitsa, Building 5, Moscow, Russian Federation
- Human Relations Area Files, 755 Prospect Street, New Haven, CT, USA
| | - Thomas E Currie
- Human Behaviour & Cultural Evolution Group, Centre for Ecology & Conservation, Department of Biosciences, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9FE, UK
| | - Kae Koganebuchi
- Kitasato University Graduate School of Medical Science, Sagamihara, Kanagawa 252-0374, Japan
| | - Nao Nishida
- Genome Medical Science Project, Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Chiba 272-8516, Japan
| | - Takehiro Sato
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa 920-8640, Japan
| | - Hideyuki Tanabe
- Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, The Graduate University for Advanced Studies, SOKENDAI, Shonan Village, Hayama, Kanagawa 240-0193, Japan
| | - Atsushi Tajima
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa 920-8640, Japan
| | - Steven Brown
- Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D04103 Leipzig, Germany
| | - Kentaro K Shimizu
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
- Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813, Japan
- Center for the Interdisciplinary Study of Language Evolution (ISLE), Plattenstrasse 54, 8032 Zürich, Switzerland
| | - Hiroki Oota
- Kitasato University Graduate School of Medical Science, Sagamihara, Kanagawa 252-0374, Japan.
- Kitasato University School of Medicine, Sagamihara, Kanagawa 252-0374, Japan
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan
| | - Balthasar Bickel
- Department of Comparative Language Science, University of Zurich, Plattenstrasse 54, 8032 Zurich, Switzerland.
- Center for the Interdisciplinary Study of Language Evolution (ISLE), Plattenstrasse 54, 8032 Zürich, Switzerland
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17
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Tiis RP, Osipova LP, Galieva ER, Lichman DV, Voronina EN, Melikhova AV, Orlov YL, Filipenko ML. [N-aсetyltransferase (NAT2) gene polymorphism and gene network analysis]. BIOMEDIT︠S︡INSKAI︠A︡ KHIMII︠A︡ 2021; 67:213-221. [PMID: 34142528 DOI: 10.18097/pbmc20216703213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
To search for new targets of therapy, it is necessary to reconstruct the gene network of the disease, and identify the interaction of genes, proteins, and drug compounds. Using the online bioinformatics tools we have analyzed the current data set related to the metabolism of xenobiotics, mediated by the N-acetyltransferase 2 (NAT2) gene. The study of allelic polymorphism of the NAT2 gene has a prognostic value, allowing to determine the risk of a number of oncological diseases, the degree of increased risk due to smoking and exposure to chemical carcinogens, including drugs. The aim of this study was to determine the frequencies of two important "slow" variants of the NAT2 gene (NAT2*5, rs1801280 and NAT2*7, rs1799931), which significantly affected the rate of xenobiotic acetylation among the indigenous Nenets population of Northern Siberia. The obtained frequencies of polymorphic variants among the Nenets occupy an intermediate value between those for Europeans and Asians, which might indicate specific features of adaptation. We present a model of the distribution of two polymorphic variants of the NAT2 gene involved in the biotransformation of xenobiotics to study the characteristics of their metabolism in the indigenous inhabitants of Yamal.
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Affiliation(s)
- R P Tiis
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Novosibirsk State University, Novosibirsk, Russia
| | - L P Osipova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Novosibirsk State University, Novosibirsk, Russia
| | - E R Galieva
- Novosibirsk State University, Novosibirsk, Russia
| | - D V Lichman
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Novosibirsk State University, Novosibirsk, Russia
| | - E N Voronina
- Novosibirsk State University, Novosibirsk, Russia; Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A V Melikhova
- Sechenov First Moscow State Medical University of the Russian Ministry of Health (Sechenov University), Moscow, Russia
| | - Y L Orlov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Novosibirsk State University, Novosibirsk, Russia; I.M. Sechenov First Moscow State Medical University of the Russian Ministry of Health (Sechenov University), Moscow, Russia
| | - M L Filipenko
- Novosibirsk State University, Novosibirsk, Russia; Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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18
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Kolmykov S, Vasiliev G, Osadchuk L, Kleschev M, Osadchuk A. Whole-Exome Sequencing Analysis of Human Semen Quality in Russian Multiethnic Population. Front Genet 2021; 12:662846. [PMID: 34178030 PMCID: PMC8232892 DOI: 10.3389/fgene.2021.662846] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 04/19/2021] [Indexed: 01/12/2023] Open
Abstract
The global trend toward the reduction of human spermatogenic function observed in many countries, including Russia, raised the problem of extensive screening and monitoring of male fertility and elucidation of its genetic and ethnic mechanisms. Recently, whole-exome sequencing (WES) was developed as a powerful tool for genetic analysis of complex traits. We present here the first Russian WES study for identification of new genes associated with semen quality. The experimental 3 × 2 design of the WES study was based on the analysis of 157 samples including three ethnic groups—Slavs (59), Buryats (n = 49), and Yakuts (n = 49), and two different semen quality groups—pathozoospermia (n = 95) and normospermia (n = 62). Additionally, our WES study group was negative for complete AZF microdeletions of the Y-chromosome. The normospermia group included men with normal sperm parameters in accordance with the WHO-recommended reference limit. The pathozoospermia group included men with impaired semen quality, namely, with any combined parameters of sperm concentration <15 × 106/ml, and/or progressive motility <32%, and/or normal morphology <4%. The WES was performed for all 157 samples. Subsequent calling and filtering of variants were carried out according to the GATK Best Practices recommendations. On the genotyping stage, the samples were combined into four cohorts: three sets corresponded to three ethnic groups, and the fourth set contained all the 157 whole-exome samples. Association of the obtained polymorphisms with semen quality parameters was investigated using the χ2 test. To prioritize the obtained variants associated with pathozoospermia, their effects were determined using Ensembl Variant Effect Predictor. Moreover, polymorphisms located in genes expressed in the testis were revealed based on the genomic annotation. As a result, the nine potential SNP markers rs6971091, rs557806, rs610308, rs556052, rs1289658, rs278981, rs1129172, rs12268007, and rs17228441 were selected for subsequent verification on our previously collected population sample (about 1,500 males). The selected variants located in seven genes FAM71F1, PPP1R15A, TRIM45, PRAME, RBM47, WDFY4, and FSIP2 that are expressed in the testis and play an important role in cell proliferation, meiosis, and apoptosis.
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Affiliation(s)
- Semyon Kolmykov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia.,Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia
| | - Gennady Vasiliev
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Ludmila Osadchuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Maxim Kleschev
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Alexander Osadchuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
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19
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Barashkov NA, Konovalov FA, Borisova TV, Teryutin FM, Solovyev AV, Pshennikova VG, Sapojnikova NV, Vychuzhina LS, Romanov GP, Gotovtsev NN, Morozov IV, Bondar AA, Platonov FA, Burtseva TE, Khusnutdinova EK, Posukh OL, Fedorova SA. Autosomal recessive cataract (CTRCT18) in the Yakut population isolate of Eastern Siberia: a novel founder variant in the FYCO1 gene. Eur J Hum Genet 2021; 29:965-976. [PMID: 33767456 PMCID: PMC8187664 DOI: 10.1038/s41431-021-00833-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 12/19/2020] [Accepted: 02/10/2021] [Indexed: 11/09/2022] Open
Abstract
Congenital autosomal recessive cataract with unknown genetic etiology is one of the most common Mendelian diseases among the Turkic-speaking Yakut population (Eastern Siberia, Russia). To identify the genetic cause of congenital cataract spread in this population, we performed whole-exome sequencing (Illumina NextSeq 500) in one Yakut family with three affected siblings whose parents had preserved vision. We have revealed the novel homozygous c.1621C>T transition leading to premature stop codon p.(Gln541*) in exon 8 of the FYCO1 gene (NM_024513.4). Subsequent screening of c.1621C>T p.(Gln541*) revealed this variant in a homozygous state in 25 out of 29 Yakut families with congenital cataract (86%). Among 424 healthy individuals from seven populations of Eastern Siberia (Russians, Yakuts, Evenks, Evens, Dolgans, Chukchi, and Yukaghirs), the highest carrier frequency of c.1621C>T p.(Gln541*) was found in the Yakut population (7.9%). DNA samples of 25 homozygous for c.1621C>T p.(Gln541*) patients with congenital cataract and 114 unaffected unrelated individuals without this variant were used for a haplotype analysis based on the genotyping of six STR markers (D3S3512, D3S3685, D3S3582, D3S3561, D3S1289, and D3S3698). The structure of the identified haplotypes indicates a common origin for all of the studied mutant chromosomes bearing c.1621C>T p.(Gln541*). The age of the с.1621C>T p.(Gln541*) founder haplotype was estimated to be approximately 260 ± 65 years (10 generations). These findings characterize Eastern Siberia as the region of the world with the most extensive accumulation of the unique variant c.1621C>T p.(Gln541*) in the FYCO1 gene as a result of the founder effect.
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Affiliation(s)
- Nikolay A Barashkov
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yakutsk, Russian Federation.
- Laboratory of Molecular Biology, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation.
| | | | - Tuyara V Borisova
- Laboratory of Molecular Biology, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
| | - Fedor M Teryutin
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yakutsk, Russian Federation
| | - Aisen V Solovyev
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yakutsk, Russian Federation
- Laboratory of Molecular Biology, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
| | - Vera G Pshennikova
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yakutsk, Russian Federation
| | - Nadejda V Sapojnikova
- Department of Ophthalmology, Republican Hospital #1 - National Centre of Medicine, Yakutsk, Russian Federation
| | - Lyubov S Vychuzhina
- Department of Ophthalmology, Republican Hospital #1 - National Centre of Medicine, Yakutsk, Russian Federation
| | - Georgii P Romanov
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yakutsk, Russian Federation
- Laboratory of Molecular Biology, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
| | - Nyurgun N Gotovtsev
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yakutsk, Russian Federation
| | - Igor V Morozov
- SB RAS Genomics Core Facility, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation
- Novosibirsk State University, Novosibirsk, Russian Federation
| | - Alexander A Bondar
- SB RAS Genomics Core Facility, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation
| | - Fedor A Platonov
- Medical Institute, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
| | - Tatiana E Burtseva
- Medical Institute, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
- Laboratory of the Children Health Monitoring and Medical-environmental Research, Yakut Science Centre of Complex Medical Problems, Yakutsk, Russian Federation
| | - Elza K Khusnutdinova
- Laboratory of Molecular Biology, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
- Laboratory of Human Molecular Genetics, Institute of Biochemistry and Genetics, Ufa Federal Research Center of Russian Academy of Sciences, Ufa, Russian Federation
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russian Federation
| | - Olga L Posukh
- Novosibirsk State University, Novosibirsk, Russian Federation
- Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation
| | - Sardana A Fedorova
- Laboratory of Molecular Genetics, Yakut Science Centre of Complex Medical Problems, Yakutsk, Russian Federation
- Laboratory of Molecular Biology, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
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20
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Bose A, Platt DE, Parida L, Drineas P, Paschou P. Integrating Linguistics, Social Structure, and Geography to Model Genetic Diversity within India. Mol Biol Evol 2021; 38:1809-1819. [PMID: 33481022 PMCID: PMC8097304 DOI: 10.1093/molbev/msaa321] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
India represents an intricate tapestry of population substructure shaped by geography, language, culture, and social stratification. Although geography closely correlates with genetic structure in other parts of the world, the strict endogamy imposed by the Indian caste system and the large number of spoken languages add further levels of complexity to understand Indian population structure. To date, no study has attempted to model and evaluate how these factors have interacted to shape the patterns of genetic diversity within India. We merged all publicly available data from the Indian subcontinent into a data set of 891 individuals from 90 well-defined groups. Bringing together geography, genetics, and demographic factors, we developed Correlation Optimization of Genetics and Geodemographics to build a model that explains the observed population genetic substructure. We show that shared language along with social structure have been the most powerful forces in creating paths of gene flow in the subcontinent. Furthermore, we discover the ethnic groups that best capture the diverse genetic substructure using a ridge leverage score statistic. Integrating data from India with a data set of additional 1,323 individuals from 50 Eurasian populations, we find that Indo-European and Dravidian speakers of India show shared genetic drift with Europeans, whereas the Tibeto-Burman speaking tribal groups have maximum shared genetic drift with East Asians.
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Affiliation(s)
- Aritra Bose
- Computational Genomics, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Daniel E Platt
- Computational Genomics, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Laxmi Parida
- Computational Genomics, IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Petros Drineas
- Computer Science Department, Purdue University, West Lafayette, IN, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
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21
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Huang X, Wang S, Jin L, He Y. Dissecting dynamics and differences of selective pressures in the evolution of human pigmentation. Biol Open 2021; 10:bio056523. [PMID: 33495209 PMCID: PMC7888712 DOI: 10.1242/bio.056523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 12/21/2020] [Indexed: 01/05/2023] Open
Abstract
Human pigmentation is a highly diverse and complex trait among populations and has drawn particular attention from both academic and non-academic investigators for thousands of years. Previous studies detected selection signals in several human pigmentation genes, but few studies have integrated contribution from multiple genes to the evolution of human pigmentation. Moreover, none has quantified selective pressures on human pigmentation over epochs and between populations. Here, we dissect dynamics and differences of selective pressures during different periods and between distinct populations with new approaches. We use genotype data of 19 genes associated with human pigmentation from 17 publicly available datasets and obtain data for 2346 individuals of six representative population groups from across the world. Our results quantify the strength of natural selection on light pigmentation not only in modern Europeans (0.0259/generation) but also in proto-Eurasians (0.00650/generation). Our results also suggest that several derived alleles associated with human dark pigmentation may be under positive directional selection in some African populations. Our study provides the first attempt to quantitatively investigate the dynamics of selective pressures during different time periods in the evolution of human pigmentation.This article has an associated First Person interview with the first author of the article.
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Affiliation(s)
- Xin Huang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Sijia Wang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Li Jin
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Yungang He
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
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22
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Dryomov SV, Nazhmidenova AM, Starikovskaya EB, Shalaurova SA, Rohland N, Mallick S, Bernardos R, Derevianko AP, Reich D, Sukernik RI. Mitochondrial genome diversity on the Central Siberian Plateau with particular reference to the prehistory of northernmost Eurasia. PLoS One 2021; 16:e0244228. [PMID: 33507977 PMCID: PMC7842996 DOI: 10.1371/journal.pone.0244228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 12/06/2020] [Indexed: 11/18/2022] Open
Abstract
The Central Siberian Plateau was the last geographic area in Eurasia to become habitable by modern humans after the Last Glacial Maximum (LGM). Through a comprehensive dataset of mitochondrial DNA (mtDNA) genomes retained in the remnats of earlier ("Old") Siberians, primarily the Ket, Tofalar, and Todzhi, we explored genetic links between the Yenisei-Sayan region and Northeast Eurasia (best represented by the Yukaghir) over the last 10,000 years. We generated 218 new complete mtDNA sequences and placed them into compound phylogenies with 7 newly obtained and 70 published ancient mitochondrial genomes. We have considerably extended the mtDNA sequence diversity (at the entire mtDNA genome level) of autochthonous Siberians, which remain poorly sampled, and these new data may have a broad impact on the study of human migration. We compared present-day mtDNA diversity in these groups with complete mitochondrial genomes from ancient samples from the region and placed the samples into combined genealogical trees. The resulting components were used to clarify the origins and expansion history of mtDNA lineages that evolved in the refugia of south-central Siberia and beyond, as well as multiple phases of connection between this region and distant parts of Eurasia.
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Affiliation(s)
- Stanislav V. Dryomov
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, SBRAS, Novosibirsk, Russian Federation
| | - Azhar M. Nazhmidenova
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, SBRAS, Novosibirsk, Russian Federation
| | - Elena B. Starikovskaya
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, SBRAS, Novosibirsk, Russian Federation
| | - Sofia A. Shalaurova
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, SBRAS, Novosibirsk, Russian Federation
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Rebecca Bernardos
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | | | - David Reich
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Rem I. Sukernik
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, SBRAS, Novosibirsk, Russian Federation
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23
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Balanovska EV, Petrushenko VS, Koshel SM, Pocheshkhova EA, Chernevskiy DK, Mirzaev KB, Abdullaev S, Balanovsky OP. Cartographic atlas of frequency variation for 45 pharmacogenetic markers in populations of Russia and its neighbor states. BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY 2020. [DOI: 10.24075/brsmu.2020.080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The lack of information about the frequency of pharmacogenetic markers in Russia impedes the adoption of personalized treatment algorithms originally developed for West European populations. The aim of this paper was to study the distribution of some clinically significant pharmacogenetic markers across Russia. A total of 45 pharmacogenetic markers were selected from a few population genetic datasets, including ADME, drug target and hemostasis-controlling genes. The total number of donors genotyped for these markers was 2,197. The frequencies of these markers were determined for 50 different populations, comprised of 137 ethnic and subethnic groups. A comprehensive pharmacogenetic atlas was created, i.e. a systematic collection of gene geographic maps of frequency variation for 45 pharmacogenetic DNA markers in Russia and its neighbor states. The maps revealed 3 patterns of geographic variation. Clinal variation (a gradient change in frequency along the East-West axis) is observed in the pharmacogenetic markers that follow the main pattern of variation for North Eurasia (13% of the maps). Uniform distribution singles out a group of markers that occur at average frequency in most Russian regions (27% of the maps). Focal variation is observed in the markers that are specific to a certain group of populations and are absent in other regions (60% of the maps). The atlas reveals that the average frequency of the marker and its frequency in individual populations do not indicate the type of its distribution in Russia: a gene geographic map is needed to uncover the pattern of its variation.
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Affiliation(s)
- EV Balanovska
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Biobank of North Eurasia, Moscow, Russia
| | - VS Petrushenko
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Vavilov Institute of General Genetics, Moscow, Russia
| | - SM Koshel
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Lomonosov Moscow State University, Moscow, Russia
| | - EA Pocheshkhova
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Kuban State Medical Institute, Krasnodar, Russia
| | - DK Chernevskiy
- Bochkov Research Center for Medical Genetics, Moscow, Russia
| | - KB Mirzaev
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - ShP Abdullaev
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - OP Balanovsky
- Bochkov Research Center for Medical Genetics, Moscow, Russia; Biobank of North Eurasia, Moscow, Russia; Vavilov Institute of General Genetics, Moscow, Russia
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24
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Kuznetsova V, Tyakht A, Akhmadishina L, Odintsova V, Klimenko N, Kostryukova E, Vakhitova M, Grigoryeva T, Malanin S, Vladimirtsev V, Nikitina R, Volok V, Osakovskiy V, Sivtseva T, Platonov F, Alexeev D, Karganova G. Gut microbiome signature of Viliuisk encephalomyelitis in Yakuts includes an increase in microbes linked to lean body mass and eating behaviour. Orphanet J Rare Dis 2020; 15:327. [PMID: 33218345 PMCID: PMC7678198 DOI: 10.1186/s13023-020-01612-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 11/10/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Viliuisk encephalomyelitis (VE) is a rare endemic neurodegenerative disease occurring in the Yakut population of Northeastern Siberia. The main clinical features of VE are spasticity, dysarthria, dementia, central paresis and paralysis, and cortical atrophy observed via MRI. Many hypotheses have been proposed regarding its etiology, including infectious agents, genetics, environmental factors, and immunopathology. Each of these hypotheses has been supported to some extent by epidemiological and experimental data. Nevertheless, none of them has been decisively proven. Gut microbiome is one of the factors that might be involved in VE pathogenesis. RESULTS Here we performed a pilot survey of the stool microbiomes of Yakut subjects with VE (n = 6) and without VE (n = 11). 16S rRNA sequencing showed that in comparison with the control group, the Yakuts with VE had increased proportions of Methanobrevibacter and Christensenella, which are reported to be linked to body mass index, metabolism, dietary habits and potentially to neurodegenerative disorders. The identified associations suggest that the microbiome may be involved in VE. Overall, the Yakut microbiome was quite specific in comparison with other populations, such as metropolitan Russians and native inhabitants of the Canadian Arctic. CONCLUSIONS Describing the gut microbiome of indigenous human populations will help to elucidate the impact of dietary and environmental factors on microbial community structure and identify risks linked to the lifestyles of such groups as well as endemic diseases.
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Affiliation(s)
- Veronika Kuznetsova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology of Russian Academy of Science, Vavilova Str. 34/5, 119334, Moscow, Russian Federation
- Moscow Institute of Physics and Technology, Kerchenskaya Str. 1A, Moscow, Russian Federation, 117303
| | - Alexander Tyakht
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology of Russian Academy of Science, Vavilova Str. 34/5, 119334, Moscow, Russian Federation.
- Atlas Biomed Group - Knomics LLC, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK.
| | - Lyudmila Akhmadishina
- Sechenov First Moscow State Medical University, Trubetskaya Str. 8-2, 119991, Moscow, Russian Federation
| | - Vera Odintsova
- Atlas Biomed Group - Knomics LLC, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK
| | - Natalia Klimenko
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology of Russian Academy of Science, Vavilova Str. 34/5, 119334, Moscow, Russian Federation
- Atlas Biomed Group - Knomics LLC, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK
| | - Elena Kostryukova
- Federal Research and Clinical Centre of Physical-Chemical Medicine of Federal Medical Biological Agency, Malaya Pirogovskaya Str. 1a, 119435, Moscow, Russian Federation
| | - Maria Vakhitova
- Moscow Institute of Physics and Technology, Kerchenskaya Str. 1A, Moscow, Russian Federation, 117303
- Federal Research and Clinical Centre of Physical-Chemical Medicine of Federal Medical Biological Agency, Malaya Pirogovskaya Str. 1a, 119435, Moscow, Russian Federation
| | - Tatyana Grigoryeva
- Institute of Fundamental Medicine and Biology, Kazan Federal University, K. Marx Str. 18, 420012, Kazan, Russian Federation
| | - Sergey Malanin
- Institute of Fundamental Medicine and Biology, Kazan Federal University, K. Marx Str. 18, 420012, Kazan, Russian Federation
| | - Vsevolod Vladimirtsev
- Research Center of Medical Institute, M.K. Ammosov North-Eastern Federal University, Belinsky Str. 58, 677027, Yakutsk, Russian Federation
| | - Raisa Nikitina
- Research Center of Medical Institute, M.K. Ammosov North-Eastern Federal University, Belinsky Str. 58, 677027, Yakutsk, Russian Federation
| | - Viktor Volok
- Chumakov Institute of Poliomyelitis and Viral Encephalitides (FSBSI "Chumakov FSC R&D IBP RAS), prem. 8, k.17, pos. Institut Poliomyelita, poselenie Moskovskiy, 108819, Moscow, Russian Federation
| | - Vladimir Osakovskiy
- Research Center of Medical Institute, M.K. Ammosov North-Eastern Federal University, Belinsky Str. 58, 677027, Yakutsk, Russian Federation
| | - Tatiana Sivtseva
- Research Center of Medical Institute, M.K. Ammosov North-Eastern Federal University, Belinsky Str. 58, 677027, Yakutsk, Russian Federation
| | - Fyodor Platonov
- Research Center of Medical Institute, M.K. Ammosov North-Eastern Federal University, Belinsky Str. 58, 677027, Yakutsk, Russian Federation
| | - Dmitry Alexeev
- Atlas Biomed Group - Knomics LLC, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK
- ITMO University, Kronverkskiy pr. 49, 197101, Saint-Petersburg, Russian Federation
| | - Galina Karganova
- Sechenov First Moscow State Medical University, Trubetskaya Str. 8-2, 119991, Moscow, Russian Federation
- Chumakov Institute of Poliomyelitis and Viral Encephalitides (FSBSI "Chumakov FSC R&D IBP RAS), prem. 8, k.17, pos. Institut Poliomyelita, poselenie Moskovskiy, 108819, Moscow, Russian Federation
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25
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The genetic legacy of legendary and historical Siberian chieftains. Commun Biol 2020; 3:581. [PMID: 33067556 PMCID: PMC7567834 DOI: 10.1038/s42003-020-01307-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 09/15/2020] [Indexed: 02/02/2023] Open
Abstract
Seventeen years of archaeological and anthropological expeditions in North-Eastern Siberia (in the Sakha Republic, Yakutia) have permitted the genetic analysis of 150 ancient (15th-19th century) and 510 modern individuals. Almost all males were successfully analysed (Y-STR) and this allowed us to identify paternal lineages and their geographical expansion through time. This genetic data was confronted with mythological, historical and material evidence to establish the sequence of events that built the modern Yakut genetic diversity. We show that the ancient Yakuts recovered from this large collection of graves are not representative of an ancient population. Uncommonly, we were also able to demonstrate that the funerary preference observed here involved three specific male lineages, especially in the 18th century. Moreover, this dominance was likely caused by the Russian conquest of Siberia which allowed some male clans to rise to new levels of power. Finally, we give indications that some mythical and historical figures might have been the actors of those genetic changes. These results help us reconsider the genetic dynamics of colonization in some regions, question the distinction between fact and myth in national histories and provide a rare insight into a funerary ensemble by revealing the biased process of its composition.
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26
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High Rates of Three Common GJB2 Mutations c.516G>C, c.-23+1G>A, c.235delC in Deaf Patients from Southern Siberia Are Due to the Founder Effect. Genes (Basel) 2020; 11:genes11070833. [PMID: 32708339 PMCID: PMC7397271 DOI: 10.3390/genes11070833] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 07/10/2020] [Accepted: 07/17/2020] [Indexed: 11/17/2022] Open
Abstract
The mutations in the GJB2 gene (13q12.11, MIM 121011) encoding transmembrane protein connexin 26 (Cx26) account for a significant portion of hereditary hearing loss worldwide. Earlier we found a high prevalence of recessive GJB2 mutations c.516G>C, c.-23+1G>A, c.235delC in indigenous Turkic-speaking Siberian peoples (Tuvinians and Altaians) from the Tyva Republic and Altai Republic (Southern Siberia, Russia) and proposed the founder effect as a cause for their high rates in these populations. To reconstruct the haplotypes associated with each of these mutations, the genotyping of polymorphic genetic markers both within and flanking the GJB2 gene was performed in 28 unrelated individuals homozygous for c.516G>C (n = 18), c.-23+1G>A (n = 6), or c.235delC (n = 4) as well as in the ethnically matched controls (62 Tuvinians and 55 Altaians) without these mutations. The common haplotypes specific for mutations c.516G>C, c.-23+1G>A, or c.235delC were revealed implying a single origin of each of these mutations. The age of mutations estimated by the DMLE+ v2.3 software and the single marker method is discussed in relation to ethnic history of Tuvinians and Altaians. The data obtained in this study support a crucial role of the founder effect in the high prevalence of GJB2 mutations c.516G>C, c.-23+1G>A, c.235delC in indigenous populations of Southern Siberia.
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27
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Abstract
Geographic patterns in human genetic diversity carry footprints of population history and provide insights for genetic medicine and its application across human populations. Summarizing and visually representing these patterns of diversity has been a persistent goal for human geneticists, and has revealed that genetic differentiation is frequently correlated with geographic distance. However, most analytical methods to represent population structure do not incorporate geography directly, and it must be considered post hoc alongside a visual summary of the genetic structure. Here, we estimate "effective migration" surfaces to visualize how human genetic diversity is geographically structured. The results reveal local patterns of differentiation in detail and emphasize that while genetic similarity generally decays with geographic distance, the relationship is often subtly distorted. Overall, the visualizations provide a new perspective on genetics and geography in humans and insight to the geographic distribution of human genetic variation.
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Affiliation(s)
- Benjamin M Peter
- Department of Human Genetics, University of Chicago, Chicago, IL
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Desislava Petkova
- Wellcome Trust Center for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, IL
- Department of Ecology & Evolution, University of Chicago, Chicago, IL
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28
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Zhang C, Gao Y, Ning Z, Lu Y, Zhang X, Liu J, Xie B, Xue Z, Wang X, Yuan K, Ge X, Pan Y, Liu C, Tian L, Wang Y, Lu D, Hoh BP, Xu S. PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations. Genome Biol 2019; 20:215. [PMID: 31640808 PMCID: PMC6805450 DOI: 10.1186/s13059-019-1838-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 09/26/2019] [Indexed: 12/23/2022] Open
Abstract
Despite the tremendous growth of the DNA sequencing data in the last decade, our understanding of the human genome is still in its infancy. To understand the implications of genetic variants in the light of population genetics and molecular evolution, we developed a database, PGG.SNV ( https://www.pggsnv.org ), which gives much higher weight to previously under-investigated indigenous populations in Asia. PGG.SNV archives 265 million SNVs across 220,147 present-day genomes and 1018 ancient genomes, including 1009 newly sequenced genomes, representing 977 global populations. Moreover, estimation of population genetic diversity and evolutionary parameters is available in PGG.SNV, a unique feature compared with other databases.
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Affiliation(s)
- Chao Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- Present Address: Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yang Gao
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Zhilin Ning
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Yan Lu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Xiaoxi Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Jiaojiao Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Bo Xie
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Zhe Xue
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Xiaoji Wang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Kai Yuan
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Xueling Ge
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Yuwen Pan
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Chang Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Lei Tian
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Yuchen Wang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Dongsheng Lu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
| | - Boon-Peng Hoh
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China
- Faculty of Medicine and Health Sciences, UCSI University, Jalan Menara Gading, Taman Connaught, Cheras, 56000, Kuala Lumpur, Malaysia
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, CAS, Shanghai, 200031, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- Collaborative Innovation Center of Genetics and Development, Shanghai, 200438, China.
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29
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Zhang C, Gao Y, Liu J, Xue Z, Lu Y, Deng L, Tian L, Feng Q, Xu S. PGG.Population: a database for understanding the genomic diversity and genetic ancestry of human populations. Nucleic Acids Res 2019; 46:D984-D993. [PMID: 29112749 PMCID: PMC5753384 DOI: 10.1093/nar/gkx1032] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Accepted: 10/17/2017] [Indexed: 12/16/2022] Open
Abstract
There are a growing number of studies focusing on delineating genetic variations that are associated with complex human traits and diseases due to recent advances in next-generation sequencing technologies. However, identifying and prioritizing disease-associated causal variants relies on understanding the distribution of genetic variations within and among populations. The PGG.Population database documents 7122 genomes representing 356 global populations from 107 countries and provides essential information for researchers to understand human genomic diversity and genetic ancestry. These data and information can facilitate the design of research studies and the interpretation of results of both evolutionary and medical studies involving human populations. The database is carefully maintained and constantly updated when new data are available. We included miscellaneous functions and a user-friendly graphical interface for visualization of genomic diversity, population relationships (genetic affinity), ancestral makeup, footprints of natural selection, and population history etc. Moreover, PGG.Population provides a useful feature for users to analyze data and visualize results in a dynamic style via online illustration. The long-term ambition of the PGG.Population, together with the joint efforts from other researchers who contribute their data to our database, is to create a comprehensive depository of geographic and ethnic variation of human genome, as well as a platform bringing influence on future practitioners of medicine and clinical investigators. PGG.Population is available at https://www.pggpopulation.org.
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Affiliation(s)
- Chao Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Gao
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jiaojiao Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhe Xue
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
| | - Yan Lu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
| | - Lian Deng
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lei Tian
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qidi Feng
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
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30
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Järve M, Saag L, Scheib CL, Pathak AK, Montinaro F, Pagani L, Flores R, Guellil M, Saag L, Tambets K, Kushniarevich A, Solnik A, Varul L, Zadnikov S, Petrauskas O, Avramenko M, Magomedov B, Didenko S, Toshev G, Bruyako I, Grechko D, Okatenko V, Gorbenko K, Smyrnov O, Heiko A, Reida R, Sapiehin S, Sirotin S, Tairov A, Beisenov A, Starodubtsev M, Vasilev V, Nechvaloda A, Atabiev B, Litvinov S, Ekomasova N, Dzhaubermezov M, Voroniatov S, Utevska O, Shramko I, Khusnutdinova E, Metspalu M, Savelev N, Kriiska A, Kivisild T, Villems R. Shifts in the Genetic Landscape of the Western Eurasian Steppe Associated with the Beginning and End of the Scythian Dominance. Curr Biol 2019; 29:2430-2441.e10. [PMID: 31303491 DOI: 10.1016/j.cub.2019.06.019] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Revised: 05/03/2019] [Accepted: 06/07/2019] [Indexed: 01/08/2023]
Abstract
The Early Iron Age nomadic Scythians have been described as a confederation of tribes of different origins, based on ancient DNA evidence [1-3]. It is still unclear how much of the Scythian dominance in the Eurasian Steppe was due to movements of people and how much reflected cultural diffusion and elite dominance. We present new whole-genome sequences of 31 ancient Western and Eastern Steppe individuals, including Scythians as well as samples pre- and postdating them, allowing us to set the Scythians in a temporal context (in the Western, i.e., Ponto-Caspian Steppe). We detect an increase of eastern (Altaian) affinity along with a decrease in eastern hunter-gatherer (EHG) ancestry in the Early Iron Age Ponto-Caspian gene pool at the start of the Scythian dominance. On the other hand, samples of the Chernyakhiv culture postdating the Scythians in Ukraine have a significantly higher proportion of Near Eastern ancestry than other samples of this study. Our results agree with the Gothic source of the Chernyakhiv culture and support the hypothesis that the Scythian dominance did involve a demic component.
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Affiliation(s)
- Mari Järve
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia.
| | - Lehti Saag
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Christiana Lyn Scheib
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Ajai K Pathak
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Francesco Montinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Luca Pagani
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Biology, University of Padova, Via U. Bassi 58/B, Padova 35121, Italy
| | - Rodrigo Flores
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Meriam Guellil
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Lauri Saag
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Kristiina Tambets
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Alena Kushniarevich
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Anu Solnik
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Liivi Varul
- School of Humanities, Tallinn University, 29 Narva Street, Tallinn 10120, Estonia
| | - Stanislav Zadnikov
- Museum of Archaeology, V.N. Karazin Kharkiv National University, 4 Svobody Square, Kharkiv 61022, Ukraine
| | - Oleg Petrauskas
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Maryana Avramenko
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Boris Magomedov
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Serghii Didenko
- National Museum of History of Ukraine, 2 Volodymyrs'ka Street, Kyiv 02000, Ukraine
| | - Gennadi Toshev
- Zaporizhzhya National University, 33A Dniprovska Street, Zaporizhzhya 69061, Ukraine
| | - Igor Bruyako
- Odessa Archaeological Museum, 4 Lanzheronivs'ka Street, Odessa 65000, Ukraine
| | - Denys Grechko
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Vitalii Okatenko
- SC SRC "Protective Archeological Service of Ukraine," Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Kyrylo Gorbenko
- Mykolaiv V.O. Sukhomlynskyi National University, 24 Nikolska Street, Mykolaiv 54030, Ukraine
| | - Oleksandr Smyrnov
- Mykolaiv V.O. Sukhomlynskyi National University, 24 Nikolska Street, Mykolaiv 54030, Ukraine
| | - Anatolii Heiko
- National Museum of Ukrainian Pottery in Opishne, 102 Partyzanska Street, Opishne 38164, Ukraine
| | - Roman Reida
- Institute of Archaeology, National Academy of Sciences of Ukraine, 12 Heroyiv Stalinhradu Avenue, Kyiv 04210, Ukraine
| | - Serheii Sapiehin
- Anton Makarenko Museum, Poltava Regional Makarenko Scientific Lyceum, 1-2 Makarenko Lane, Kovalivka 38701, Ukraine
| | - Sergey Sirotin
- Institute of Archaeology, Russian Academy of Sciences, 19 Dmitri Ulyanov Street, Moscow 117292, Russia
| | - Aleksandr Tairov
- South Ural State University, 76 Lenin Avenue, Chelyabinsk 454080, Russia
| | - Arman Beisenov
- A. Kh. Margulan Institute of Archaeology, 44 Dostyk Avenue, Almaty 480100, Kazakhstan
| | - Maksim Starodubtsev
- Sterlitamak Museum of Local History, 100 Karl Marx Street, Sterlitamak 453124, Russia
| | - Vitali Vasilev
- LoCom Medien Akademie Europäisches Bildungsinstitut, Bachstraße 4, Bonn 53115, Germany
| | - Alexei Nechvaloda
- Institute of History, Language and Literature, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia
| | - Biyaslan Atabiev
- Institute for Caucasus Archaeology, 30 Katkhanova Street, Nalchik 361401, Russia
| | - Sergey Litvinov
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia
| | - Natalia Ekomasova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, 32 Zaki Validi Street, Ufa 450076, Russia
| | - Murat Dzhaubermezov
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, 32 Zaki Validi Street, Ufa 450076, Russia
| | - Sergey Voroniatov
- Department of Archaeology of Eastern Europe and Siberia, State Hermitage Museum, 34 Dvortsovaya Embankment, St. Petersburg 190000, Russia
| | - Olga Utevska
- Department of Genetics and Cytology, V.N. Karazin Kharkiv National University, 4 Svobody Square, Kharkiv 61022, Ukraine
| | - Irina Shramko
- Museum of Archaeology, V.N. Karazin Kharkiv National University, 4 Svobody Square, Kharkiv 61022, Ukraine
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, 32 Zaki Validi Street, Ufa 450076, Russia
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
| | - Nikita Savelev
- Institute of History, Language and Literature, Ufa Federal Research Centre of the Russian Academy of Sciences, 71 October Avenue, Ufa 450054, Russia
| | - Aivar Kriiska
- Department of Archaeology, Institute of History and Archaeology, University of Tartu, 2 Jakobi Street, Tartu 51014, Estonia
| | - Toomas Kivisild
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Human Genetics, KU Leuven, O&N IV Herestraat 49, Leuven 3000, Belgium
| | - Richard Villems
- Estonian Biocentre, Institute of Genomics, University of Tartu, 23b Riia Street, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 23b Riia Street, Tartu 51010, Estonia
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31
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Sikora M, Pitulko VV, Sousa VC, Allentoft ME, Vinner L, Rasmussen S, Margaryan A, de Barros Damgaard P, de la Fuente C, Renaud G, Yang MA, Fu Q, Dupanloup I, Giampoudakis K, Nogués-Bravo D, Rahbek C, Kroonen G, Peyrot M, McColl H, Vasilyev SV, Veselovskaya E, Gerasimova M, Pavlova EY, Chasnyk VG, Nikolskiy PA, Gromov AV, Khartanovich VI, Moiseyev V, Grebenyuk PS, Fedorchenko AY, Lebedintsev AI, Slobodin SB, Malyarchuk BA, Martiniano R, Meldgaard M, Arppe L, Palo JU, Sundell T, Mannermaa K, Putkonen M, Alexandersen V, Primeau C, Baimukhanov N, Malhi RS, Sjögren KG, Kristiansen K, Wessman A, Sajantila A, Lahr MM, Durbin R, Nielsen R, Meltzer DJ, Excoffier L, Willerslev E. The population history of northeastern Siberia since the Pleistocene. Nature 2019; 570:182-188. [PMID: 31168093 DOI: 10.1038/s41586-019-1279-z] [Citation(s) in RCA: 134] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 05/07/2019] [Indexed: 12/30/2022]
Abstract
Northeastern Siberia has been inhabited by humans for more than 40,000 years but its deep population history remains poorly understood. Here we investigate the late Pleistocene population history of northeastern Siberia through analyses of 34 newly recovered ancient genomes that date to between 31,000 and 600 years ago. We document complex population dynamics during this period, including at least three major migration events: an initial peopling by a previously unknown Palaeolithic population of 'Ancient North Siberians' who are distantly related to early West Eurasian hunter-gatherers; the arrival of East Asian-related peoples, which gave rise to 'Ancient Palaeo-Siberians' who are closely related to contemporary communities from far-northeastern Siberia (such as the Koryaks), as well as Native Americans; and a Holocene migration of other East Asian-related peoples, who we name 'Neo-Siberians', and from whom many contemporary Siberians are descended. Each of these population expansions largely replaced the earlier inhabitants, and ultimately generated the mosaic genetic make-up of contemporary peoples who inhabit a vast area across northern Eurasia and the Americas.
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Affiliation(s)
- Martin Sikora
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark.
| | - Vladimir V Pitulko
- Palaeolithic Department, Institute for the History of Material Culture, Russian Academy of Science, St Petersburg, Russia.
| | - Vitor C Sousa
- Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Morten E Allentoft
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
| | - Lasse Vinner
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
| | - Simon Rasmussen
- Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ashot Margaryan
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
| | | | - Constanza de la Fuente
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
- Human Genetics Department, University of Chicago, Chicago, IL, USA
| | - Gabriel Renaud
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
| | - Melinda A Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Center for Excellence in Life and Paleoenvironment, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Center for Excellence in Life and Paleoenvironment, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | | | - Konstantinos Giampoudakis
- Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - David Nogués-Bravo
- Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Carsten Rahbek
- Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Guus Kroonen
- Department of Nordic Studies and Linguistics, University of Copenhagen, Copenhagen, Denmark
- Leiden University Centre for Linguistics, Leiden University, Leiden, The Netherlands
| | - Michaël Peyrot
- Leiden University Centre for Linguistics, Leiden University, Leiden, The Netherlands
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
| | - Sergey V Vasilyev
- Institute of Ethnology and Anthropology, Russian Academy of Science, Moscow, Russia
| | - Elizaveta Veselovskaya
- Institute of Ethnology and Anthropology, Russian Academy of Science, Moscow, Russia
- Russian State University for Humanities (RSUH), Moscow, Russia
| | - Margarita Gerasimova
- Institute of Ethnology and Anthropology, Russian Academy of Science, Moscow, Russia
| | - Elena Y Pavlova
- Palaeolithic Department, Institute for the History of Material Culture, Russian Academy of Science, St Petersburg, Russia
- Polar Geography Department, Arctic & Antarctic Research Institute, St Petersburg, Russia
| | | | - Pavel A Nikolskiy
- Palaeolithic Department, Institute for the History of Material Culture, Russian Academy of Science, St Petersburg, Russia
- Geological Institute, Russian Academy of Sciences, Moscow, Russia
| | - Andrei V Gromov
- Peter the Great Museum of Anthropology and Ethnography, Russian Academy of Sciences, St Petersburg, Russia
| | - Valeriy I Khartanovich
- Peter the Great Museum of Anthropology and Ethnography, Russian Academy of Sciences, St Petersburg, Russia
| | - Vyacheslav Moiseyev
- Peter the Great Museum of Anthropology and Ethnography, Russian Academy of Sciences, St Petersburg, Russia
| | - Pavel S Grebenyuk
- North-East Interdisciplinary Scientific Research Institute, Far East Branch, Russian Academy of Sciences, Magadan, Russia
- Northeast State University, Magadan, Russia
| | - Alexander Yu Fedorchenko
- Institute of Archaeology and Ethnography of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Alexander I Lebedintsev
- North-East Interdisciplinary Scientific Research Institute, Far East Branch, Russian Academy of Sciences, Magadan, Russia
| | - Sergey B Slobodin
- North-East Interdisciplinary Scientific Research Institute, Far East Branch, Russian Academy of Sciences, Magadan, Russia
| | - Boris A Malyarchuk
- Institute of Biological Problems of the North, Far East Branch, Russian Academy of Sciences, Magadan, Russia
| | - Rui Martiniano
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Morten Meldgaard
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
- University of Greenland, Nuuk, Greenland
| | - Laura Arppe
- Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Jukka U Palo
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
- Forensic Genetics Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Tarja Sundell
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Kristiina Mannermaa
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
| | - Mikko Putkonen
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
| | - Verner Alexandersen
- Laboratory of Biological Anthropology, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Charlotte Primeau
- Laboratory of Biological Anthropology, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Ripan S Malhi
- Department of Anthropology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Karl-Göran Sjögren
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | | | - Anna Wessman
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
- Department of Archaeology, University of Turku, Turku, Finland
| | - Antti Sajantila
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
| | - Marta Mirazon Lahr
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
- Leverhulme Centre for Human Evolutionary Studies, Department of Archaeology, University of Cambridge, Cambridge, UK
| | - Richard Durbin
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | - Rasmus Nielsen
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - David J Meltzer
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark
- Department of Anthropology, Southern Methodist University, Dallas, TX, USA
| | - Laurent Excoffier
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
| | - Eske Willerslev
- Lundbeck Foundation GeoGenetics Centre, University of Copenhagen, Copenhagen, Denmark.
- Wellcome Sanger Institute, Cambridge, UK.
- GeoGenetics Groups, Department of Zoology, University of Cambridge, Cambridge, UK.
- The Danish Institute for Advanced Study, The University of Southern Denmark, Odense, Denmark.
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Saag L, Laneman M, Varul L, Malve M, Valk H, Razzak MA, Shirobokov IG, Khartanovich VI, Mikhaylova ER, Kushniarevich A, Scheib CL, Solnik A, Reisberg T, Parik J, Saag L, Metspalu E, Rootsi S, Montinaro F, Remm M, Mägi R, D'Atanasio E, Crema ER, Díez-Del-Molino D, Thomas MG, Kriiska A, Kivisild T, Villems R, Lang V, Metspalu M, Tambets K. The Arrival of Siberian Ancestry Connecting the Eastern Baltic to Uralic Speakers further East. Curr Biol 2019; 29:1701-1711.e16. [PMID: 31080083 PMCID: PMC6544527 DOI: 10.1016/j.cub.2019.04.026] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 03/18/2019] [Accepted: 04/09/2019] [Indexed: 01/08/2023]
Abstract
In this study, we compare the genetic ancestry of individuals from two as yet genetically unstudied cultural traditions in Estonia in the context of available modern and ancient datasets: 15 from the Late Bronze Age stone-cist graves (1200-400 BC) (EstBA) and 6 from the Pre-Roman Iron Age tarand cemeteries (800/500 BC-50 AD) (EstIA). We also included 5 Pre-Roman to Roman Iron Age Ingrian (500 BC-450 AD) (IngIA) and 7 Middle Age Estonian (1200-1600 AD) (EstMA) individuals to build a dataset for studying the demographic history of the northern parts of the Eastern Baltic from the earliest layer of Mesolithic to modern times. Our findings are consistent with EstBA receiving gene flow from regions with strong Western hunter-gatherer (WHG) affinities and EstIA from populations related to modern Siberians. The latter inference is in accordance with Y chromosome (chrY) distributions in present day populations of the Eastern Baltic, as well as patterns of autosomal variation in the majority of the westernmost Uralic speakers [1-5]. This ancestry reached the coasts of the Baltic Sea no later than the mid-first millennium BC; i.e., in the same time window as the diversification of west Uralic (Finnic) languages [6]. Furthermore, phenotypic traits often associated with modern Northern Europeans, like light eyes, hair, and skin, as well as lactose tolerance, can be traced back to the Bronze Age in the Eastern Baltic. VIDEO ABSTRACT.
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Affiliation(s)
- Lehti Saag
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Cell and Molecular Biology, University of Tartu, Tartu 51010, Estonia.
| | - Margot Laneman
- Department of Archaeology, Institute of History and Archaeology, University of Tartu, Tartu 51014, Estonia
| | - Liivi Varul
- School of Humanities, Tallinn University, Tallinn 10120, Estonia
| | - Martin Malve
- Department of Archaeology, Institute of History and Archaeology, University of Tartu, Tartu 51014, Estonia
| | - Heiki Valk
- Department of Archaeology, Institute of History and Archaeology, University of Tartu, Tartu 51014, Estonia
| | - Maria A Razzak
- Department of Slavic and Finnic Archaeology, Institute for the History of Material Culture, Russian Academy of Sciences, St. Petersburg 191186, Russia
| | - Ivan G Shirobokov
- Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Sciences, St. Petersburg 199034, Russia
| | - Valeri I Khartanovich
- Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Sciences, St. Petersburg 199034, Russia
| | | | - Alena Kushniarevich
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Christiana Lyn Scheib
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Anu Solnik
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Tuuli Reisberg
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Jüri Parik
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Cell and Molecular Biology, University of Tartu, Tartu 51010, Estonia
| | - Lauri Saag
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Ene Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Siiri Rootsi
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Francesco Montinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Maido Remm
- Department of Bioinformatics, Institute of Cell and Molecular Biology, University of Tartu, Tartu 51010, Estonia
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | | | | | - David Díez-Del-Molino
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm 104 05, Sweden; Department of Archaeology and Classical Studies, Stockholm University, Stockholm 106 91, Sweden
| | - Mark G Thomas
- Research Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK; UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Aivar Kriiska
- Department of Archaeology, Institute of History and Archaeology, University of Tartu, Tartu 51014, Estonia
| | - Toomas Kivisild
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Cell and Molecular Biology, University of Tartu, Tartu 51010, Estonia; Department of Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Richard Villems
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Department of Evolutionary Biology, Institute of Cell and Molecular Biology, University of Tartu, Tartu 51010, Estonia
| | - Valter Lang
- Department of Archaeology, Institute of History and Archaeology, University of Tartu, Tartu 51014, Estonia
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Kristiina Tambets
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
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Zhernakova DV, Brukhin V, Malov S, Oleksyk TK, Koepfli KP, Zhuk A, Dobrynin P, Kliver S, Cherkasov N, Tamazian G, Rotkevich M, Krasheninnikova K, Evsyukov I, Sidorov S, Gorbunova A, Chernyaeva E, Shevchenko A, Kolchanova S, Komissarov A, Simonov S, Antonik A, Logachev A, Polev DE, Pavlova OA, Glotov AS, Ulantsev V, Noskova E, Davydova TK, Sivtseva TM, Limborska S, Balanovsky O, Osakovsky V, Novozhilov A, Puzyrev V, O'Brien SJ. Genome-wide sequence analyses of ethnic populations across Russia. Genomics 2019; 112:442-458. [PMID: 30902755 DOI: 10.1016/j.ygeno.2019.03.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Accepted: 03/15/2019] [Indexed: 12/22/2022]
Abstract
The Russian Federation is the largest and one of the most ethnically diverse countries in the world, however no centralized reference database of genetic variation exists to date. Such data are crucial for medical genetics and essential for studying population history. The Genome Russia Project aims at filling this gap by performing whole genome sequencing and analysis of peoples of the Russian Federation. Here we report the characterization of genome-wide variation of 264 healthy adults, including 60 newly sequenced samples. People of Russia carry known and novel genetic variants of adaptive, clinical and functional consequence that in many cases show allele frequency divergence from neighboring populations. Population genetics analyses revealed six phylogeographic partitions among indigenous ethnicities corresponding to their geographic locales. This study presents a characterization of population-specific genomic variation in Russia with results important for medical genetics and for understanding the dynamic population history of the world's largest country.
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Affiliation(s)
- Daria V Zhernakova
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - Vladimir Brukhin
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Sergey Malov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; Department of Mathematics, St. Petersburg Electrotechnical University, St. Petersburg, Russian Federation
| | - Taras K Oleksyk
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; Biology Department, University of Puerto Rico at Mayaguez, Mayaguez, Puerto Rico; Department of Biological Sciences, Oakland University, Rochester, MI 48309, USA
| | - Klaus Peter Koepfli
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; National Zoological Park, Smithsonian Conservation Biology Institute, Washington, DC, USA
| | - Anna Zhuk
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; Vavilov Institute of General Genetics, Russian Academy of Sciences, St. Petersburg Branch, St. Petersburg, Russian Federation
| | - Pavel Dobrynin
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; National Zoological Park, Smithsonian Conservation Biology Institute, Washington, DC, USA
| | - Sergei Kliver
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Nikolay Cherkasov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Gaik Tamazian
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Mikhail Rotkevich
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Ksenia Krasheninnikova
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Igor Evsyukov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Sviatoslav Sidorov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Anna Gorbunova
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; I.I. Mechnikov North-Western State Medical University, St. Petersburg, Russian Federation
| | - Ekaterina Chernyaeva
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Andrey Shevchenko
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Sofia Kolchanova
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; Biology Department, University of Puerto Rico at Mayaguez, Mayaguez, Puerto Rico
| | - Alexei Komissarov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Serguei Simonov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Alexey Antonik
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Anton Logachev
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Dmitrii E Polev
- Centre Biobank, Research Park, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Olga A Pavlova
- Centre Biobank, Research Park, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Andrey S Glotov
- Laboratory of biobanking and genomic medicine of Institute of translation biomedicine, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Vladimir Ulantsev
- Computer Technologies Laboratory, ITMO University, St. Petersburg, Russian Federation
| | - Ekaterina Noskova
- Computer Technologies Laboratory, ITMO University, St. Petersburg, Russian Federation; JetBrains Research, St. Petersburg, Russian Federation
| | - Tatyana K Davydova
- Federal State Budgetary Scietific Institution, "Yakut science center of complex medical problems", Yakutsk, Russian Federation
| | - Tatyana M Sivtseva
- Institute of Health, North-Eastern Federal University, Yakutsk, Russian Federation
| | - Svetlana Limborska
- Department of Molecular Bases of Human Genetics, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russian Federation
| | - Oleg Balanovsky
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russian Federation; Research Centre for Medical Genetics, Moscow, Russian Federation; Biobank of North Eurasia, Moscow, Russian Federation
| | - Vladimir Osakovsky
- Institute of Health, North-Eastern Federal University, Yakutsk, Russian Federation
| | - Alexey Novozhilov
- Department of Ethnography and Anthropology, St. Petersburg State University, St. Petersburg, Russian Federation
| | - Valery Puzyrev
- Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Science, Tomsk, Russian Federation
| | - Stephen J O'Brien
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russian Federation; Guy Harvey Oceanographic Center, Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, 8000 North Ocean Drive, Ft Lauderdale, Florida 33004, USA.
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34
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Medieval mummies of Zeleny Yar burial ground in the Arctic Zone of Western Siberia. PLoS One 2019; 14:e0210718. [PMID: 30682121 PMCID: PMC6347368 DOI: 10.1371/journal.pone.0210718] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 01/01/2019] [Indexed: 11/19/2022] Open
Abstract
Notwithstanding the pioneering achievements of studies on arctic mummies in Siberia, there are insufficient data for any comprehensive understanding of the bio-cultural details of medieval people living in the region. In the Western Siberian arctic, permafrost mummies have been found in 12th to 13th century graves located in the Zeleny Yar (Z-Y) burial ground (66°19'4.54"С; 67°21'13.54"В). In 2013-2016, we were fortunate to be able to excavate that cemetery, locating a total of 47 burials, including cases of mummification. Some of these mummies had been wrapped in a multi-layered birch-bark cocoon. After removal of the cocoon, we conducted interdisciplinary studies using various scientific techniques. Gross anatomical examination and CT radiography showed that the internal organs were still well preserved inside the body cavities. Under light and electron microscopy, the histological findings were very similar to those for naturally mummified specimens discovered in other countries. Ancient DNA analysis showed that the Z-Y mummies' mtDNA haplotypes belong to five different haplogroups, namely U5a (#34), H3ao (#53), D (#67-1), U4b1b1 (#67-2), and D4j8 (#68), which distinguish them for their unique combination of Western- and Eastern Siberia-specific mtDNA haplogroups. Our interdisciplinary study obtained fundamental information that will form the foundation of successful future investigations on medieval mummies found in the Western Siberian arctic.
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Pathak AK, Kadian A, Kushniarevich A, Montinaro F, Mondal M, Ongaro L, Singh M, Kumar P, Rai N, Parik J, Metspalu E, Rootsi S, Pagani L, Kivisild T, Metspalu M, Chaubey G, Villems R. The Genetic Ancestry of Modern Indus Valley Populations from Northwest India. Am J Hum Genet 2018; 103:918-929. [PMID: 30526867 DOI: 10.1016/j.ajhg.2018.10.022] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 10/25/2018] [Indexed: 11/26/2022] Open
Abstract
The Indus Valley has been the backdrop for several historic and prehistoric population movements between South Asia and West Eurasia. However, the genetic structure of present-day populations from Northwest India is poorly characterized. Here we report new genome-wide genotype data for 45 modern individuals from four Northwest Indian populations, including the Ror, whose long-term occupation of the region can be traced back to the early Vedic scriptures. Our results suggest that although the genetic architecture of most Northwest Indian populations fits well on the broader North-South Indian genetic cline, culturally distinct groups such as the Ror stand out by being genetically more akin to populations living west of India; such populations include prehistorical and early historical ancient individuals from the Swat Valley near the Indus Valley. We argue that this affinity is more likely a result of genetic continuity since the Bronze Age migrations from the Steppe Belt than a result of recent admixture. The observed patterns of genetic relationships both with modern and ancient West Eurasians suggest that the Ror can be used as a proxy for a population descended from the Ancestral North Indian (ANI) population. Collectively, our results show that the Indus Valley populations are characterized by considerable genetic heterogeneity that has persisted over thousands of years.
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Karafet TM, Osipova LP, Savina OV, Hallmark B, Hammer MF. Siberian genetic diversity reveals complex origins of the Samoyedic-speaking populations. Am J Hum Biol 2018; 30:e23194. [PMID: 30408262 DOI: 10.1002/ajhb.23194] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Revised: 08/26/2018] [Accepted: 09/23/2018] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES We examined autosomal genome-wide SNPs and Y-chromosome data from 15 Siberian and 12 reference populations to study the affinities of Siberian populations, and to address hypotheses about the origin of the Samoyed peoples. METHODS Samples were genotyped for 567 096 autosomal SNPs and 147 Y-chromosome polymorphic sites. For several analyses, we used 281 093 SNPs from the intersection of our data with publicly available ancient Siberian samples. To examine genetic relatedness among populations, we applied PCA, FST , TreeMix, and ADMIXTURE analyses. To explore the potential effect of demography and evolutionary processes, the distribution of ROH and IBD sharing within population were studied. RESULTS Analyses of autosomal and Y-chromosome data reveal high differentiation of the Siberian groups. The Siberian populations have a large proportion of their genome in ROH and IBD segments. Several populations (ie, Nganasans, Evenks, Yukagirs, and Koryaks) do not appear to have experienced admixture with other Siberian populations (ie, producing only positive f3), while for the other tested populations the composition of mixing sources always included Nganasans or Evenks. The Nganasans from the Taymyr Peninsula demonstrate the greatest level of shared shorter ROH and IBD with nearly all other Siberian populations. CONCLUSIONS Autosomal SNP and Y-chromosome data demonstrate that Samoyedic populations differ significantly in their genetic composition. Genetic relationship is observed only between Forest and Tundra Nentsi. Selkups are affiliated with the Kets from the Yenisey River, while the Nganasans are separated from their linguistic neighbors, showing closer affinities with the Evenks and Yukagirs.
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Affiliation(s)
- Tatiana M Karafet
- ARL Division of Biotechnology, University of Arizona, Tucson, Arizona
| | - Ludmila P Osipova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.,Novosibirsk State University, Novosibirsk, Russia
| | - Olga V Savina
- ARL Division of Biotechnology, University of Arizona, Tucson, Arizona
| | - Brian Hallmark
- Interdisciplinary Program in Statistics, University of Arizona, Tucson, Arizona
| | - Michael F Hammer
- ARL Division of Biotechnology, University of Arizona, Tucson, Arizona.,Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona
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Neparáczki E, Maróti Z, Kalmár T, Kocsy K, Maár K, Bihari P, Nagy I, Fóthi E, Pap I, Kustár Á, Pálfi G, Raskó I, Zink A, Török T. Mitogenomic data indicate admixture components of Central-Inner Asian and Srubnaya origin in the conquering Hungarians. PLoS One 2018; 13:e0205920. [PMID: 30335830 PMCID: PMC6193700 DOI: 10.1371/journal.pone.0205920] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 10/02/2018] [Indexed: 01/07/2023] Open
Abstract
It has been widely accepted that the Finno-Ugric Hungarian language, originated from proto Uralic people, was brought into the Carpathian Basin by the conquering Hungarians. From the middle of the 19th century this view prevailed against the deep-rooted Hungarian Hun tradition, maintained in folk memory as well as in Hungarian and foreign written medieval sources, which claimed that Hungarians were kinsfolk of the Huns. In order to shed light on the genetic origin of the Conquerors we sequenced 102 mitogenomes from early Conqueror cemeteries and compared them to sequences of all available databases. We applied novel population genetic algorithms, named Shared Haplogroup Distance and MITOMIX, to reveal past admixture of maternal lineages. Our results show that the Conquerors assembled from various nomadic groups of the Eurasian steppe. Population genetic results indicate that they had closest connection to the Onogur-Bulgar ancestors of Volga Tatars. Phylogenetic results reveal that more than one third of the Conqueror maternal lineages were derived from Central-Inner Asia and their most probable ultimate sources were the Asian Scythians and Asian Huns, giving support to the Hungarian Hun tradition. The rest of the lineages most likely originated from the Bronze Age Potapovka-Poltavka-Srubnaya cultures of the Pontic-Caspian steppe. Available data imply that the Conquerors did not have a major contribution to the gene pool of the Carpathian Basin.
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Affiliation(s)
| | - Zoltán Maróti
- Department of Pediatrics and Pediatric Health Center, University of Szeged, Szeged, Hungary
| | - Tibor Kalmár
- Department of Pediatrics and Pediatric Health Center, University of Szeged, Szeged, Hungary
| | - Klaudia Kocsy
- Department of Genetics, University of Szeged, Szeged, Hungary
| | - Kitti Maár
- Department of Genetics, University of Szeged, Szeged, Hungary
| | | | - István Nagy
- SeqOmics Biotechnology Ltd., Mórahalom, Hungary
- Institute of Biochemistry, Biological Research Centre, Szeged, Hungary
| | - Erzsébet Fóthi
- Department of Anthropology, Hungarian Natural History Museum, Budapest, Hungary
| | - Ildikó Pap
- Department of Anthropology, Hungarian Natural History Museum, Budapest, Hungary
| | - Ágnes Kustár
- Department of Anthropology, Hungarian Natural History Museum, Budapest, Hungary
| | - György Pálfi
- Department of Biological Anthropology, University of Szeged, Szeged, Hungary
| | - István Raskó
- Institute of Genetics, Biological Research Centre, Szeged, Hungary
| | - Albert Zink
- Institute for Mummies and the Iceman, EURAC, Bolzano, Italy
| | - Tibor Török
- Department of Genetics, University of Szeged, Szeged, Hungary
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38
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Tambets K, Yunusbayev B, Hudjashov G, Ilumäe AM, Rootsi S, Honkola T, Vesakoski O, Atkinson Q, Skoglund P, Kushniarevich A, Litvinov S, Reidla M, Metspalu E, Saag L, Rantanen T, Karmin M, Parik J, Zhadanov SI, Gubina M, Damba LD, Bermisheva M, Reisberg T, Dibirova K, Evseeva I, Nelis M, Klovins J, Metspalu A, Esko T, Balanovsky O, Balanovska E, Khusnutdinova EK, Osipova LP, Voevoda M, Villems R, Kivisild T, Metspalu M. Genes reveal traces of common recent demographic history for most of the Uralic-speaking populations. Genome Biol 2018; 19:139. [PMID: 30241495 PMCID: PMC6151024 DOI: 10.1186/s13059-018-1522-1] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 09/03/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The genetic origins of Uralic speakers from across a vast territory in the temperate zone of North Eurasia have remained elusive. Previous studies have shown contrasting proportions of Eastern and Western Eurasian ancestry in their mitochondrial and Y chromosomal gene pools. While the maternal lineages reflect by and large the geographic background of a given Uralic-speaking population, the frequency of Y chromosomes of Eastern Eurasian origin is distinctively high among European Uralic speakers. The autosomal variation of Uralic speakers, however, has not yet been studied comprehensively. RESULTS Here, we present a genome-wide analysis of 15 Uralic-speaking populations which cover all main groups of the linguistic family. We show that contemporary Uralic speakers are genetically very similar to their local geographical neighbours. However, when studying relationships among geographically distant populations, we find that most of the Uralic speakers and some of their neighbours share a genetic component of possibly Siberian origin. Additionally, we show that most Uralic speakers share significantly more genomic segments identity-by-descent with each other than with geographically equidistant speakers of other languages. We find that correlated genome-wide genetic and lexical distances among Uralic speakers suggest co-dispersion of genes and languages. Yet, we do not find long-range genetic ties between Estonians and Hungarians with their linguistic sisters that would distinguish them from their non-Uralic-speaking neighbours. CONCLUSIONS We show that most Uralic speakers share a distinct ancestry component of likely Siberian origin, which suggests that the spread of Uralic languages involved at least some demic component.
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Affiliation(s)
- Kristiina Tambets
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
| | - Bayazit Yunusbayev
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Ufa Scientific Center of RAS, Ufa, 450054, Russia
| | - Georgi Hudjashov
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Statistics and Bioinformatics Group, Institute of Fundamental Sciences, Massey University, Palmerston North, 4442, New Zealand
| | - Anne-Mai Ilumäe
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Siiri Rootsi
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Terhi Honkola
- Department of Biology, University of Turku, 20014, Turku, Finland
- Institute of Estonian and General Linguistics, University of Tartu, 51014, Tartu, Estonia
| | - Outi Vesakoski
- Department of Biology, University of Turku, 20014, Turku, Finland
| | - Quentin Atkinson
- School of Psychology, University of Auckland, Auckland, 1142, New Zealand
- Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, D-07745, Jena, Germany
| | - Pontus Skoglund
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Alena Kushniarevich
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Institute of Genetics and Cytology of the National Academy of Sciences of Belarus, Minsk, 220072, Republic of Belarus
| | - Sergey Litvinov
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Institute of Biochemistry and Genetics, Ufa Scientific Center of RAS, Ufa, 450054, Russia
| | - Maere Reidla
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 51010, Tartu, Estonia
| | - Ene Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Lehti Saag
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 51010, Tartu, Estonia
| | - Timo Rantanen
- Department of Geography and Geology, University of Turku, 20014, Turku, Finland
| | - Monika Karmin
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Jüri Parik
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 51010, Tartu, Estonia
| | - Sergey I Zhadanov
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Department of Radiology, The Mount Sinai Medical Center, New York, NY, 10029, USA
| | - Marina Gubina
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Institute of Cytology and Genetics, Siberian Branch of RAS, Novosibirsk, 630090, Russia
| | - Larisa D Damba
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Research Institute of Medical and Social Problems and Control of the Healthcare Department of Tuva Republic, Kyzyl, 667003, Russia
| | - Marina Bermisheva
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Institute of Biochemistry and Genetics, Ufa Scientific Center of RAS, Ufa, 450054, Russia
| | - Tuuli Reisberg
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
| | - Khadizhat Dibirova
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Research Centre for Medical Genetics, Russian Academy of Medical Sciences, Moscow, 115478, Russia
| | - Irina Evseeva
- Northern State Medical University, Arkhangelsk, 163000, Russia
- Anthony Nolan, London, NW3 2NU, UK
| | - Mari Nelis
- Research Centre of Estonian Genome Center, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Janis Klovins
- Latvian Biomedical Research and Study Centre, Riga, LV-1067, Latvia
| | - Andres Metspalu
- Research Centre of Estonian Genome Center, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Tõnu Esko
- Research Centre of Estonian Genome Center, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Oleg Balanovsky
- Research Centre for Medical Genetics, Russian Academy of Medical Sciences, Moscow, 115478, Russia
- Vavilov Institute for General Genetics, RAS, Moscow, 119991, Russia
| | - Elena Balanovska
- Research Centre for Medical Genetics, Russian Academy of Medical Sciences, Moscow, 115478, Russia
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of RAS, Ufa, 450054, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, 450054, Russia
| | - Ludmila P Osipova
- Institute of Cytology and Genetics, Siberian Branch of RAS, Novosibirsk, 630090, Russia
- Novosibirsk State University, 2 Pirogova Str, Novosibirsk, 630090, Russia
| | - Mikhail Voevoda
- Institute of Cytology and Genetics, Siberian Branch of RAS, Novosibirsk, 630090, Russia
- Novosibirsk State University, 2 Pirogova Str, Novosibirsk, 630090, Russia
- Institute of Internal Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, 630090, Russia
| | - Richard Villems
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 51010, Tartu, Estonia
| | - Toomas Kivisild
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
- Department of Evolutionary Biology, Institute of Molecular and Cell Biology, University of Tartu, 51010, Tartu, Estonia
- Department of Archaeology, University of Cambridge, Cambridge, CB2 1QH, UK
- Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia
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39
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Scheib CL, Li H, Desai T, Link V, Kendall C, Dewar G, Griffith PW, Mörseburg A, Johnson JR, Potter A, Kerr SL, Endicott P, Lindo J, Haber M, Xue Y, Tyler-Smith C, Sandhu MS, Lorenz JG, Randall TD, Faltyskova Z, Pagani L, Danecek P, O'Connell TC, Martz P, Boraas AS, Byrd BF, Leventhal A, Cambra R, Williamson R, Lesage L, Holguin B, Ygnacio-De Soto E, Rosas J, Metspalu M, Stock JT, Manica A, Scally A, Wegmann D, Malhi RS, Kivisild T. Ancient human parallel lineages within North America contributed to a coastal expansion. Science 2018; 360:1024-1027. [PMID: 29853687 DOI: 10.1126/science.aar6851] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 04/20/2018] [Indexed: 12/12/2022]
Abstract
Little is known regarding the first people to enter the Americas and their genetic legacy. Genomic analysis of the oldest human remains from the Americas showed a direct relationship between a Clovis-related ancestral population and all modern Central and South Americans as well as a deep split separating them from North Americans in Canada. We present 91 ancient human genomes from California and Southwestern Ontario and demonstrate the existence of two distinct ancestries in North America, which possibly split south of the ice sheets. A contribution from both of these ancestral populations is found in all modern Central and South Americans. The proportions of these two ancestries in ancient and modern populations are consistent with a coastal dispersal and multiple admixture events.
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Affiliation(s)
- C L Scheib
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK. .,Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Hongjie Li
- Department of Anthropology and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Tariq Desai
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK
| | - Vivian Link
- Department of Biology, Université de Fribourg, Fribourg, Switzerland
| | - Christopher Kendall
- Department of Anthropology, University of Toronto, Toronto, Ontario M5S 2S2, Canada
| | - Genevieve Dewar
- Department of Anthropology, University of Toronto, Toronto, Ontario M5S 2S2, Canada
| | | | | | - John R Johnson
- Santa Barbara Museum of Natural History, Santa Barbara, CA 93105, USA
| | - Amiee Potter
- Department of Anthropology, Portland State University, Portland, OR 97232, USA.,Knight Diagnostics Laboratory, Oregon Health & Science University, Portland, OR 97239, USA
| | - Susan L Kerr
- Department of Anthropology, Modesto Junior College, Modesto, CA 95350, USA
| | - Phillip Endicott
- Department Hommes Natures Societies, Musée de l'Homme, Paris 75016, France
| | - John Lindo
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA
| | - Marc Haber
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Yali Xue
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Chris Tyler-Smith
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | | | - Joseph G Lorenz
- Department of Anthropology and Museum Studies, Central Washington University, Ellensburg, WA 98926, USA
| | - Tori D Randall
- Department of Anthropology, San Diego City College, San Diego, CA 92101, USA
| | - Zuzana Faltyskova
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK
| | - Luca Pagani
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.,APE Lab, Department of Biology, University of Padova, Padova, Italy
| | - Petr Danecek
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK
| | - Tamsin C O'Connell
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK
| | - Patricia Martz
- Department of Anthropology, California State University, Los Angeles, CA 90032, USA
| | | | - Brian F Byrd
- Far Western Anthropological Research Group Inc., Davis, CA 95618, USA
| | - Alan Leventhal
- Muwekma Ohlone Tribe of the San Francisco Bay Area, P.O. Box 360791, Milpitas, CA 95036, USA.,Department of Anthropology, San Jose State University, San Jose, CA 95192, USA
| | - Rosemary Cambra
- Muwekma Ohlone Tribe of the San Francisco Bay Area, P.O. Box 360791, Milpitas, CA 95036, USA
| | | | | | - Brian Holguin
- Department of Anthropology, University of California, Los Angeles, CA 90095, USA
| | - Ernestine Ygnacio-De Soto
- Barbareño Chumash, California Indian Advisory Committee, Santa Barbara Museum of Natural History, Santa Barbara, CA 93105, USA
| | | | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Jay T Stock
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK.,Department of Anthropology, University of Western Ontario, London, Ontario N6A 3K7, Canada
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Aylwyn Scally
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK
| | - Daniel Wegmann
- Department of Biology, Université de Fribourg, Fribourg, Switzerland
| | - Ripan S Malhi
- Department of Anthropology and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
| | - Toomas Kivisild
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK. .,Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
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40
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de Barros Damgaard P, Martiniano R, Kamm J, Moreno-Mayar JV, Kroonen G, Peyrot M, Barjamovic G, Rasmussen S, Zacho C, Baimukhanov N, Zaibert V, Merz V, Biddanda A, Merz I, Loman V, Evdokimov V, Usmanova E, Hemphill B, Seguin-Orlando A, Yediay FE, Ullah I, Sjögren KG, Iversen KH, Choin J, de la Fuente C, Ilardo M, Schroeder H, Moiseyev V, Gromov A, Polyakov A, Omura S, Senyurt SY, Ahmad H, McKenzie C, Margaryan A, Hameed A, Samad A, Gul N, Khokhar MH, Goriunova OI, Bazaliiskii VI, Novembre J, Weber AW, Orlando L, Allentoft ME, Nielsen R, Kristiansen K, Sikora M, Outram AK, Durbin R, Willerslev E. The first horse herders and the impact of early Bronze Age steppe expansions into Asia. Science 2018; 360:eaar7711. [PMID: 29743352 PMCID: PMC6748862 DOI: 10.1126/science.aar7711] [Citation(s) in RCA: 182] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 05/02/2018] [Indexed: 12/16/2022]
Abstract
The Yamnaya expansions from the western steppe into Europe and Asia during the Early Bronze Age (~3000 BCE) are believed to have brought with them Indo-European languages and possibly horse husbandry. We analyzed 74 ancient whole-genome sequences from across Inner Asia and Anatolia and show that the Botai people associated with the earliest horse husbandry derived from a hunter-gatherer population deeply diverged from the Yamnaya. Our results also suggest distinct migrations bringing West Eurasian ancestry into South Asia before and after, but not at the time of, Yamnaya culture. We find no evidence of steppe ancestry in Bronze Age Anatolia from when Indo-European languages are attested there. Thus, in contrast to Europe, Early Bronze Age Yamnaya-related migrations had limited direct genetic impact in Asia.
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Affiliation(s)
| | - Rui Martiniano
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK
| | - Jack Kamm
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - J Víctor Moreno-Mayar
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Guus Kroonen
- Department of Nordic Studies and Linguistics, University of Copenhagen, Copenhagen, Denmark
- Leiden University Centre for Linguistics, Leiden University, Leiden, Netherlands
| | - Michaël Peyrot
- Leiden University Centre for Linguistics, Leiden University, Leiden, Netherlands
| | - Gojko Barjamovic
- Department of Near Eastern Languages and Civilizations, Harvard University, Cambridge, MA, USA
| | - Simon Rasmussen
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Claus Zacho
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | | | - Victor Zaibert
- Institute of Archaeology and Steppe Civilization, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
| | - Victor Merz
- S. Toraighyrov Pavlodar State University, Joint Research Center for Archeological Studies named after A.Kh. Margulan, Pavlodar, Kazakhstan
| | - Arjun Biddanda
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Ilja Merz
- S. Toraighyrov Pavlodar State University, Joint Research Center for Archeological Studies named after A.Kh. Margulan, Pavlodar, Kazakhstan
| | - Valeriy Loman
- Saryarkinsky Institute of Archaeology, Buketov Karaganda State University, Karaganda. 100074, Kazakhstan
| | - Valeriy Evdokimov
- Saryarkinsky Institute of Archaeology, Buketov Karaganda State University, Karaganda. 100074, Kazakhstan
| | - Emma Usmanova
- Saryarkinsky Institute of Archaeology, Buketov Karaganda State University, Karaganda. 100074, Kazakhstan
| | - Brian Hemphill
- Department of Anthropology, University of Alaska, Fairbanks, AK, USA
| | - Andaine Seguin-Orlando
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Fulya Eylem Yediay
- The Institute of Forensic Sciences, Istanbul University, Istanbul, Turkey
| | - Inam Ullah
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
- Department of Genetics, Hazara University, Garden Campus, Mansehra, Pakistan
| | - Karl-Göran Sjögren
- Department of Historical Studies, University of Gothenburg, 40530 Göteborg, Sweden
| | - Katrine Højholt Iversen
- Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Jeremy Choin
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Constanza de la Fuente
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Melissa Ilardo
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Hannes Schroeder
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Vyacheslav Moiseyev
- Peter the Great Museum of Anthropology and Ethnography (Kunstkamera) RAS, St. Petersburg, Russia
| | - Andrey Gromov
- Peter the Great Museum of Anthropology and Ethnography (Kunstkamera) RAS, St. Petersburg, Russia
| | - Andrei Polyakov
- Institute for the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
| | - Sachihiro Omura
- Japanese Institute of Anatolian Archaeology, Kaman, Kırşehir, Turkey
| | | | - Habib Ahmad
- Department of Genetics, Hazara University, Garden Campus, Mansehra, Pakistan
- Center of Omic Sciences, Islamia College, Peshawar, Pakistan
| | - Catriona McKenzie
- Department of Archaeology, University of Exeter, Exeter, EX4 4QE, UK
| | - Ashot Margaryan
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Abdul Hameed
- Department of Archeology, Hazara University, Garden Campus, Mansehra, Pakistan
| | - Abdul Samad
- Directorate of Archaeology and Museums Government of Khyber Pakhtunkhwa, Pakistan
| | - Nazish Gul
- Department of Genetics, Hazara University, Garden Campus, Mansehra, Pakistan
| | | | - O I Goriunova
- Institute of Archaeology and Ethnography, Siberian Branch of the Russian Academy of Sciences, Academician Lavrent'iev Ave. 17, Novosibirsk, 630090, Russia
- Department of History, Irkutsk State University, Karl Marx Street 1, Irkutsk 664003, Russia
| | - Vladimir I Bazaliiskii
- Department of History, Irkutsk State University, Karl Marx Street 1, Irkutsk 664003, Russia
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | - Andrzej W Weber
- Department of Anthropology, University of Alberta, Edmonton, Alberta, T6G 2H4, Canada
| | - Ludovic Orlando
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université deToulouse, Université Paul Sabatier, 31000 Toulouse, France
| | - Morten E Allentoft
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Nielsen
- Departments of Integrative Biology and Statistics, University of Berkeley, Berkeley, CA, USA
| | - Kristian Kristiansen
- Department of Historical Studies, University of Gothenburg, 40530 Göteborg, Sweden
| | - Martin Sikora
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark
| | - Alan K Outram
- Department of Archaeology, University of Exeter, Exeter, EX4 4QE, UK
| | - Richard Durbin
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK
| | - Eske Willerslev
- Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Copenhagen, Denmark.
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
- Department of Zoology, University of Cambridge, Cambridge, UK
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41
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Kılınç GM, Kashuba N, Yaka R, Sümer AP, Yüncü E, Shergin D, Ivanov GL, Kichigin D, Pestereva K, Volkov D, Mandryka P, Kharinskii A, Tishkin A, Ineshin E, Kovychev E, Stepanov A, Alekseev A, Fedoseeva SA, Somel M, Jakobsson M, Krzewińska M, Storå J, Götherström A. Investigating Holocene human population history in North Asia using ancient mitogenomes. Sci Rep 2018; 8:8969. [PMID: 29895902 PMCID: PMC5997703 DOI: 10.1038/s41598-018-27325-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 05/25/2018] [Indexed: 12/21/2022] Open
Abstract
Archaeogenomic studies have largely elucidated human population history in West Eurasia during the Stone Age. However, despite being a broad geographical region of significant cultural and linguistic diversity, little is known about the population history in North Asia. We present complete mitochondrial genome sequences together with stable isotope data for 41 serially sampled ancient individuals from North Asia, dated between c.13,790 BP and c.1,380 BP extending from the Palaeolithic to the Iron Age. Analyses of mitochondrial DNA sequences and haplogroup data of these individuals revealed the highest genetic affinity to present-day North Asian populations of the same geographical region suggesting a possible long-term maternal genetic continuity in the region. We observed a decrease in genetic diversity over time and a reduction of maternal effective population size (Ne) approximately seven thousand years before present. Coalescent simulations were consistent with genetic continuity between present day individuals and individuals dating to 7,000 BP, 4,800 BP or 3,000 BP. Meanwhile, genetic differences observed between 7,000 BP and 3,000 BP as well as between 4,800 BP and 3,000 BP were inconsistent with genetic drift alone, suggesting gene flow into the region from distant gene pools or structure within the population. These results indicate that despite some level of continuity between ancient groups and present-day populations, the region exhibits a complex demographic history during the Holocene.
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Affiliation(s)
- Gülşah Merve Kılınç
- Department of Archaeology and Classical Studies, Stockholm University, 10691, Stockholm, Sweden.
| | - Natalija Kashuba
- Department of Archaeology and Classical Studies, Stockholm University, 10691, Stockholm, Sweden.,University of Oslo, Museum of Cultural History, 0164, Oslo, Norway
| | - Reyhan Yaka
- Middle East Technical University, Department of Biological Sciences, 06800, Ankara, Turkey
| | - Arev Pelin Sümer
- Middle East Technical University, Department of Biological Sciences, 06800, Ankara, Turkey
| | - Eren Yüncü
- Middle East Technical University, Department of Biological Sciences, 06800, Ankara, Turkey
| | - Dmitrij Shergin
- Laboratory of Archaeology and Ethnography, Faculty of History and Methods, Department of Humanitarian and Aesthetic Education, Pedagogical Institute, Irkutsk State University, Irkutsk, 664011, Irkutsk, Oblast, Russia
| | | | - Dmitrii Kichigin
- Irkutsk National Research Technical University, Laboratory of Archaeology, Paleoecology and the Subsistence Strategies of the Peoples of Northern Asia, Irkutsk State Technical University, Irkutsk, 664074, Irkutsk Oblast, Russia
| | - Kjunnej Pestereva
- M. K. Ammosov North-Eastern Federal University (NEFU), Federal State Autonomous Educational Institution of Higher Education, Yakutsk, 677000, Sakha Republic, Russia
| | - Denis Volkov
- The Center for Preservation of Historical and Cultural Heritage of the Amur Region, Blagoveshchensk, 675000, Amur Oblast, Russia
| | - Pavel Mandryka
- Siberian Federal University, Krasnoyarsk, 660041, Krasnoyarskiy Kray, Russia
| | - Artur Kharinskii
- Irkutsk National Research Technical University, Laboratory of Archaeology, Paleoecology and the Subsistence Strategies of the Peoples of Northern Asia, Irkutsk State Technical University, Irkutsk, 664074, Irkutsk Oblast, Russia
| | - Alexey Tishkin
- The Laboratory of Interdisciplinary Studies in Archaeology of Western Siberia and Altai, Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Altaiskiy Kray, Russia
| | - Evgenij Ineshin
- Laboratory of Archaeology and Ethnography, Faculty of History and Methods, Department of Humanitarian and Aesthetic Education, Pedagogical Institute, Irkutsk State University, Irkutsk, 664011, Irkutsk, Oblast, Russia
| | - Evgeniy Kovychev
- Faculty of History, Transbaikal State University, Chita, 672039, Zabaykalsky Kray, Russia
| | - Aleksandr Stepanov
- M. K. Ammosov North-Eastern Federal University (NEFU), Federal State Autonomous Educational Institution of Higher Education, Yakutsk, 677000, Sakha Republic, Russia
| | - Aanatolij Alekseev
- The Institute for Humanities Research and Indigenous Studies (IHRISN), Academy of Sciences of the Sakha Republic, Yakutsk, 677000, Sakha Republic, Russia
| | | | - Mehmet Somel
- Middle East Technical University, Department of Biological Sciences, 06800, Ankara, Turkey
| | - Mattias Jakobsson
- Department of Organismal Biology and SciLife Lab, Evolutionary Biology Centre, 75236, Uppsala, Sweden
| | - Maja Krzewińska
- Department of Archaeology and Classical Studies, Stockholm University, 10691, Stockholm, Sweden
| | - Jan Storå
- Department of Archaeology and Classical Studies, Stockholm University, 10691, Stockholm, Sweden
| | - Anders Götherström
- Department of Archaeology and Classical Studies, Stockholm University, 10691, Stockholm, Sweden.
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42
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Hsieh P, Hallmark B, Watkins J, Karafet TM, Osipova LP, Gutenkunst RN, Hammer MF. Exome Sequencing Provides Evidence of Polygenic Adaptation to a Fat-Rich Animal Diet in Indigenous Siberian Populations. Mol Biol Evol 2018; 34:2913-2926. [PMID: 28962010 DOI: 10.1093/molbev/msx226] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Siberia is one of the coldest environments on Earth and has great seasonal temperature variation. Long-term settlement in northern Siberia undoubtedly required biological adaptation to severe cold stress, dramatic variation in photoperiod, and limited food resources. In addition, recent archeological studies show that humans first occupied Siberia at least 45,000 years ago; yet our understanding of the demographic history of modern indigenous Siberians remains incomplete. In this study, we use whole-exome sequencing data from the Nganasans and Yakuts to infer the evolutionary history of these two indigenous Siberian populations. Recognizing the complexity of the adaptive process, we designed a model-based test to systematically search for signatures of polygenic selection. Our approach accounts for stochasticity in the demographic process and the hitchhiking effect of classic selective sweeps, as well as potential biases resulting from recombination rate and mutation rate heterogeneity. Our demographic inference shows that the Nganasans and Yakuts diverged ∼12,000-13,000 years ago from East-Asian ancestors in a process involving continuous gene flow. Our polygenic selection scan identifies seven candidate gene sets with Siberian-specific signals. Three of these gene sets are related to diet, especially to fat metabolism, consistent with the hypothesis of adaptation to a fat-rich animal diet. Additional testing rejects the effect of hitchhiking and favors a model in which selection yields small allele frequency changes at multiple unlinked genes.
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Affiliation(s)
- PingHsun Hsieh
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
| | - Brian Hallmark
- Interdisciplinary Program in Statistics, University of Arizona, Tucson, AZ
| | - Joseph Watkins
- Department of Mathematics, University of Arizona, Tucson, AZ
| | | | - Ludmila P Osipova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.,Novosibirsk State University, Novosibirsk, Russia
| | - Ryan N Gutenkunst
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ
| | - Michael F Hammer
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ.,ARL Division of Biotechnology, University of Arizona, Tucson, AZ
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43
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Reconstructing the demographic history of the Himalayan and adjoining populations. Hum Genet 2018; 137:129-139. [PMID: 29356938 DOI: 10.1007/s00439-018-1867-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 01/06/2018] [Indexed: 12/19/2022]
Abstract
The rugged topography of the Himalayan region has hindered large-scale human migrations, population admixture and assimilation. Such complexity in geographical structure might have facilitated the existence of several small isolated communities in this region. We have genotyped about 850,000 autosomal markers among 35 individuals belonging to the four major populations inhabiting the Himalaya and adjoining regions. In addition, we have genotyped 794 individuals belonging to 16 ethnic groups from the same region, for uniparental (mitochondrial and Y chromosomal DNA) markers. Our results in the light of various statistical analyses suggest a closer link of the Himalayan and adjoining populations to East Asia than their immediate geographical neighbours in South Asia. Allele frequency-based analyses likely support the existence of a specific ancestry component in the Himalayan and adjoining populations. The admixture time estimate suggests a recent westward migration of populations living to the East of the Himalaya. Furthermore, the uniparental marker analysis among the Himalayan and adjoining populations reveal the presence of East, Southeast and South Asian genetic signatures. Interestingly, we observed an antagonistic association of Y chromosomal haplogroups O3 and D clines with the longitudinal distance. Thus, we summarise that studying the Himalayan and adjoining populations is essential for a comprehensive reconstruction of the human evolutionary and ethnolinguistic history of eastern Eurasia.
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Triska P, Chekanov N, Stepanov V, Khusnutdinova EK, Kumar GPA, Akhmetova V, Babalyan K, Boulygina E, Kharkov V, Gubina M, Khidiyatova I, Khitrinskaya I, Khrameeva EE, Khusainova R, Konovalova N, Litvinov S, Marusin A, Mazur AM, Puzyrev V, Ivanoshchuk D, Spiridonova M, Teslyuk A, Tsygankova S, Triska M, Trofimova N, Vajda E, Balanovsky O, Baranova A, Skryabin K, Tatarinova TV, Prokhortchouk E. Between Lake Baikal and the Baltic Sea: genomic history of the gateway to Europe. BMC Genet 2017; 18:110. [PMID: 29297395 PMCID: PMC5751809 DOI: 10.1186/s12863-017-0578-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND The 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. RESULTS We 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. CONCLUSIONS Our 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.
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MESH Headings
- Algorithms
- Asia
- DNA
- Datasets as Topic
- Emigration and Immigration/history
- Ethnicity/genetics
- Europe
- Female
- Genetic Variation
- Genetics, Population
- Genotyping Techniques
- History, 15th Century
- History, 16th Century
- History, 17th Century
- History, 18th Century
- History, 19th Century
- History, 20th Century
- History, 21st Century
- History, Ancient
- History, Medieval
- Humans
- Male
- Russia
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Affiliation(s)
- Petr Triska
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Nikolay Chekanov
- Federal State Institution "Federal Research Centre «Fundamentals of Biotechnology» of the Russian Academy of Sciences", Moscow, Russia
- "Genoanalytica" CJSC, Moscow, Russia
| | - Vadim Stepanov
- Institute of Medical Genetics, Tomsk National Medical Research Center, Russian Academy of Sciences, Siberian Branch, Tomsk, Russia
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics, Russian Academy of Sciences, Ufa Scientific Centre of Russian Academy of Sciences, Ufa, Russia
- Bashkir State University, Ufa, Russia
| | | | - Vita Akhmetova
- Institute of Biochemistry and Genetics, Russian Academy of Sciences, Ufa Scientific Centre of Russian Academy of Sciences, Ufa, Russia
| | - Konstantin Babalyan
- Moscow Institute of Physics and Technology, Department of Molecular and Bio-Physics, Moscow, Russia
| | | | - Vladimir Kharkov
- Institute of Medical Genetics, Tomsk National Medical Research Center, Russian Academy of Sciences, Siberian Branch, Tomsk, Russia
| | - Marina Gubina
- Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
| | - Irina Khidiyatova
- Institute of Biochemistry and Genetics, Russian Academy of Sciences, Ufa Scientific Centre of Russian Academy of Sciences, Ufa, Russia
- Bashkir State University, Ufa, Russia
| | - Irina Khitrinskaya
- Institute of Medical Genetics, Tomsk National Medical Research Center, Russian Academy of Sciences, Siberian Branch, Tomsk, Russia
| | - Ekaterina E Khrameeva
- "Genoanalytica" CJSC, Moscow, Russia
- Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Moscow, Russia
| | - Rita Khusainova
- Institute of Biochemistry and Genetics, Russian Academy of Sciences, Ufa Scientific Centre of Russian Academy of Sciences, Ufa, Russia
- Bashkir State University, Ufa, Russia
| | | | - Sergey Litvinov
- Institute of Biochemistry and Genetics, Russian Academy of Sciences, Ufa Scientific Centre of Russian Academy of Sciences, Ufa, Russia
| | - Andrey Marusin
- Institute of Medical Genetics, Tomsk National Medical Research Center, Russian Academy of Sciences, Siberian Branch, Tomsk, Russia
| | - Alexandr M Mazur
- Federal State Institution "Federal Research Centre «Fundamentals of Biotechnology» of the Russian Academy of Sciences", Moscow, Russia
| | - Valery Puzyrev
- Institute of Medical Genetics, Tomsk National Medical Research Center, Russian Academy of Sciences, Siberian Branch, Tomsk, Russia
| | - Dinara Ivanoshchuk
- Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, Novosibirsk, Russia
| | - Maria Spiridonova
- Institute of Medical Genetics, Tomsk National Medical Research Center, Russian Academy of Sciences, Siberian Branch, Tomsk, Russia
| | - Anton Teslyuk
- Moscow Institute of Physics and Technology, Department of Molecular and Bio-Physics, Moscow, Russia
| | - Svetlana Tsygankova
- Moscow Institute of Physics and Technology, Department of Molecular and Bio-Physics, Moscow, Russia
| | - Martin Triska
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Natalya Trofimova
- Institute of Biochemistry and Genetics, Russian Academy of Sciences, Ufa Scientific Centre of Russian Academy of Sciences, Ufa, Russia
| | - Edward Vajda
- Department of Modern and Classical Languages, Western Washington University, Bellingham, WA, USA
| | - Oleg Balanovsky
- Research Centre for Medical Genetics, Moscow, Russia
- Vavilov Institute of General Genetics, Moscow, Russia
| | - Ancha Baranova
- Research Centre for Medical Genetics, Moscow, Russia
- School of Systems Biology, George Mason University, Fairfax, VA, USA
- Atlas Biomed Group, Moscow, Russia
| | - Konstantin Skryabin
- Federal State Institution "Federal Research Centre «Fundamentals of Biotechnology» of the Russian Academy of Sciences", Moscow, Russia
- Russian Scientific Centre "Kurchatov Institute", Moscow, Russia
- Department of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Tatiana V Tatarinova
- Vavilov Institute of General Genetics, Moscow, Russia.
- School of Systems Biology, George Mason University, Fairfax, VA, USA.
- Atlas Biomed Group, Moscow, Russia.
- Department of Biology, University of La Verne, La Verne, CA, USA.
- A. A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
| | - Egor Prokhortchouk
- Federal State Institution "Federal Research Centre «Fundamentals of Biotechnology» of the Russian Academy of Sciences", Moscow, Russia.
- Department of Biology, Lomonosov Moscow State University, Moscow, Russia.
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Zlobin AS, Sharapov SS, Guryev VP, Bevova MR, Tsepilov YA, Sivtseva TM, Boyarskih UA, Sokolova EA, Aulchenko YS, Filipenko ML, Osakovsky VL. Population specific analysis of Yakut exomes. DOKL BIOCHEM BIOPHYS 2017; 474:213-216. [PMID: 28726087 DOI: 10.1134/s1607672917030188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Indexed: 11/23/2022]
Abstract
We studied the genetic diversity of the Yakut population using exome sequencing. We performed comparative analysis of the Yakut population and the populations that are included in the "1000 Genomes" project and we identified the alleles specific to the Yakut population. We showed, that the Yakuts population is a separate cluster between Europeans and East Asians.
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Affiliation(s)
- A S Zlobin
- Novosibirsk State University, Novosibirsk, 630090, Russia. .,Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russia.
| | - S Sh Sharapov
- Novosibirsk State University, Novosibirsk, 630090, Russia.,Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - V P Guryev
- European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, The Netherlands
| | - M R Bevova
- European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, The Netherlands
| | - Y A Tsepilov
- Novosibirsk State University, Novosibirsk, 630090, Russia.,Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - T M Sivtseva
- Research Institute of Health, Ammosov North-Eastern Federal University, Yakutsk, Russia
| | - U A Boyarskih
- Novosibirsk State University, Novosibirsk, 630090, Russia.,Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - E A Sokolova
- Novosibirsk State University, Novosibirsk, 630090, Russia.,Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - Y S Aulchenko
- Novosibirsk State University, Novosibirsk, 630090, Russia.,Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - M L Filipenko
- Novosibirsk State University, Novosibirsk, 630090, Russia.,Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - V L Osakovsky
- Research Institute of Health, Ammosov North-Eastern Federal University, Yakutsk, Russia
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46
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Leonardi M, Barbujani G, Manica A. An earlier revolution: genetic and genomic analyses reveal pre-existing cultural differences leading to Neolithization. Sci Rep 2017; 7:3525. [PMID: 28615641 PMCID: PMC5471218 DOI: 10.1038/s41598-017-03717-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 05/02/2017] [Indexed: 01/28/2023] Open
Abstract
Archaeological evidence shows that, in the long run, Neolitization (the transition from foraging to food production) was associated with demographic growth. We used two methods (patterns of linkage disequilibrium from whole-genome SNPs and MSMC estimates on genomes) to reconstruct the demographic profiles for respectively 64 and 24 modern-day populations with contrasting lifestyles across the Old World (sub-Saharan Africa, south-eastern Asia, Siberia). Surprisingly, in all regions, food producers had larger effective population sizes (Ne) than foragers already 20 k years ago, well before the Neolithic revolution. As expected, this difference further increased ~12–10 k years ago, around or just before the onset of food production. Using paleoclimate reconstructions, we show that the early difference in Ne cannot be explained by food producers inhabiting more favorable regions. A number of mechanisms, including ancestral differences in census size, sedentism, exploitation of the natural resources, social stratification or connectivity between groups, might have led to the early differences in Ne detected in our analyses. Irrespective of the specific mechanisms involved, our results provide further evidence that long term cultural differences among populations of Palaeolithic hunter-gatherers are likely to have played an important role in the later Neolithization process.
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Affiliation(s)
- Michela Leonardi
- Department of Life Sciences and Biotechnology, University of Ferrara, Via Borsari 44, 44121, Ferrara, Italy. .,Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oester Voldgade 5-7, DK-1350, Copenhagen, Denmark.
| | - Guido Barbujani
- Department of Life Sciences and Biotechnology, University of Ferrara, Via Borsari 44, 44121, Ferrara, Italy
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Downing street, CB2 3EJ, Cambridge, UK
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47
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Baker JL, Rotimi CN, Shriner D. Human ancestry correlates with language and reveals that race is not an objective genomic classifier. Sci Rep 2017; 7:1572. [PMID: 28484253 PMCID: PMC5431528 DOI: 10.1038/s41598-017-01837-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Accepted: 04/04/2017] [Indexed: 12/22/2022] Open
Abstract
Genetic and archaeological studies have established a sub-Saharan African origin for anatomically modern humans with subsequent migrations out of Africa. Using the largest multi-locus data set known to date, we investigated genetic differentiation of early modern humans, human admixture and migration events, and relationships among ancestries and language groups. We compiled publicly available genome-wide genotype data on 5,966 individuals from 282 global samples, representing 30 primary language families. The best evidence supports 21 ancestries that delineate genetic structure of present-day human populations. Independent of self-identified ethno-linguistic labels, the vast majority (97.3%) of individuals have mixed ancestry, with evidence of multiple ancestries in 96.8% of samples and on all continents. The data indicate that continents, ethno-linguistic groups, races, ethnicities, and individuals all show substantial ancestral heterogeneity. We estimated correlation coefficients ranging from 0.522 to 0.962 between ancestries and language families or branches. Ancestry data support the grouping of Kwadi-Khoe, Kx’a, and Tuu languages, support the exclusion of Omotic languages from the Afroasiatic language family, and do not support the proposed Dené-Yeniseian language family as a genetically valid grouping. Ancestry data yield insight into a deeper past than linguistic data can, while linguistic data provide clarity to ancestry data.
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Affiliation(s)
- Jennifer L Baker
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, Bethesda, Maryland, 20892, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, Bethesda, Maryland, 20892, USA.
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, Bethesda, Maryland, 20892, USA.
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48
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Wong EHM, Khrunin A, Nichols L, Pushkarev D, Khokhrin D, Verbenko D, Evgrafov O, Knowles J, Novembre J, Limborska S, Valouev A. Reconstructing genetic history of Siberian and Northeastern European populations. Genome Res 2016; 27:1-14. [PMID: 27965293 PMCID: PMC5204334 DOI: 10.1101/gr.202945.115] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2015] [Accepted: 11/14/2016] [Indexed: 11/24/2022]
Abstract
Siberia and Northwestern Russia are home to over 40 culturally and linguistically diverse indigenous ethnic groups, yet genetic variation and histories of peoples from this region are largely uncharacterized. We present deep whole-genome sequencing data (∼38×) from 28 individuals belonging to 14 distinct indigenous populations from that region. We combined these data sets with additional 32 modern-day and 46 ancient human genomes to reconstruct genetic histories of several indigenous Northern Eurasian populations. We found that Siberian and East Asian populations shared 38% of their ancestry with a 45,000-yr-old Ust'-Ishim individual who was previously believed to have no modern-day descendants. Western Siberians trace 57% of their ancestry to ancient North Eurasians, represented by the 24,000-yr-old Siberian Mal'ta boy MA-1. Eastern Siberian populations formed a distinct sublineage that separated from other East Asian populations ∼10,000 yr ago. In addition, we uncovered admixtures between Siberians and Eastern European hunter-gatherers from Samara, Karelia, Hungary, and Sweden (from 8000-6600 yr ago); Yamnaya people (5300-4700 yr ago); and modern-day Northeastern Europeans. Our results provide new insights into genetic histories of Siberian and Northeastern European populations and evidence of ancient gene flow from Siberia into Europe.
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Affiliation(s)
- Emily H M Wong
- Division of Bioinformatics, Department of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, California 90089, USA
| | - Andrey Khrunin
- Department of Molecular Bases of Human Genetics, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, 123182 Russian Federation
| | - Larissa Nichols
- Department of Molecular Bases of Human Genetics, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, 123182 Russian Federation
| | - Dmitry Pushkarev
- Illumina, Incorporated, Advanced Research Group, San Diego, California 92122, USA
| | - Denis Khokhrin
- Department of Molecular Bases of Human Genetics, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, 123182 Russian Federation
| | - Dmitry Verbenko
- Department of Molecular Bases of Human Genetics, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, 123182 Russian Federation
| | - Oleg Evgrafov
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, Zilkha Neurogenetic Institute, University of Southern California, California 90033, USA
| | - James Knowles
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, Zilkha Neurogenetic Institute, University of Southern California, California 90033, USA
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Svetlana Limborska
- Department of Molecular Bases of Human Genetics, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, 123182 Russian Federation
| | - Anton Valouev
- Division of Bioinformatics, Department of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, California 90089, USA
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49
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Human Y Chromosome Haplogroup N: A Non-trivial Time-Resolved Phylogeography that Cuts across Language Families. Am J Hum Genet 2016; 99:163-73. [PMID: 27392075 DOI: 10.1016/j.ajhg.2016.05.025] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Accepted: 05/22/2016] [Indexed: 11/21/2022] Open
Abstract
The paternal haplogroup (hg) N is distributed from southeast Asia to eastern Europe. The demographic processes that have shaped the vast extent of this major Y chromosome lineage across numerous linguistically and autosomally divergent populations have previously been unresolved. On the basis of 94 high-coverage re-sequenced Y chromosomes, we establish and date a detailed hg N phylogeny. We evaluate geographic structure by using 16 distinguishing binary markers in 1,631 hg N Y chromosomes from a collection of 6,521 samples from 56 populations. The more southerly distributed sub-clade N4 emerged before N2a1 and N3, found mostly in the north, but the latter two display more elaborate branching patterns, indicative of regional contrasts in recent expansions. In particular, a number of prominent and well-defined clades with common N3a3'6 ancestry occur in regionally dissimilar northern Eurasian populations, indicating almost simultaneous regional diversification and expansion within the last 5,000 years. This patrilineal genetic affinity is decoupled from the associated higher degree of language diversity.
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Sychev DA, Shuev GN, Chertovskih JV, Maksimova NR, Grachev AV, Syrkova OA. The frequency of SLCO1B1*5 polymorphism genotypes among Russian and Sakha (Yakutia) patients with hypercholesterolemia. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2016; 9:59-63. [PMID: 27307760 PMCID: PMC4889090 DOI: 10.2147/pgpm.s99634] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Introduction Statins are the most commonly prescribed medicines for treatment of hypercholesterolemia. At the same time, up to 25% of patients cannot tolerate or have to discontinue the statin therapy due to statin-induced myopathy. In a majority of cases, statin-induced myopathy is attributed to SLCO1B1 gene polymorphism. The strongest association between statin-induced myopathy and SLCO1B1 gene polymorphism was described for simvastatin. Our research was focused on the frequency of SLCO1B1*5 genetic variant in the Russian population and in the native population of Sakha (Yakutia). Materials and methods A total of 1,071 hyperlipidemic Russian and 76 hyperlipidemic Sakha (Yakutian) patients were included in the study. Genotypes of SLCO1B1*5 (c.521T>C, rs4149056) were determined with polymerase chain reaction amplification. The results of our study were compared with data about hyperlipidemic patients in available publications. Results In the Russian population 665 (62%) patients had TT genotype of SLCO1B1*5, 346 (32%) patients had TC genotype, and in 60 patients (6%) CC variant was found (Hardy–Weinberg’s chi-square test was 3.1 P=0.21). In comparison with Brazil, France, the People’s Republic of China, Japan, and the native population of Sakha (Yakutia), C-allele, which causes an increased risk of statin-induced myopathy, was found significantly more often in the Russian population. In the native population of Sakha (Yakutia) SLCO1B1 polymorphism was TT – 62 (82%), TC – 11 (14%), CC – 3 (4%) (Hardy–Weinberg’s chi-square test was 5.13 P=0.077). In comparison with data from Brazil, France, the People’s Republic of China, and Japan, C-allele frequency in the Sakha (Yakutian) population was not significantly different. Conclusion Thus, we have studied the incidence of pathologic SLCO1B1 c.521C-allele in Russian and Sakha hyperlipidemic patients. The presence of SLCO1B1 C-allele in patients with hyperlipidemia forces us to be more careful in hypolipidemic drug prescription, especially statins, according to a higher risk of statin-induced myopathy development. The fact that SLCO1B1 C-allele is rarer among Sakha patients, could be interesting from the point of studying adverse drug effects frequency and statins’ effectiveness.
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Affiliation(s)
- Dmitrij Alekseevitch Sychev
- Department of Internal Medicine and Clinical Pharmacology, Russian Medical Academy of Postgraduate Education, Moscow, Russian Federation
| | | | | | | | - Andrej Vladimirovich Grachev
- Department of Internal Medicine and Clinical Pharmacology, Russian Medical Academy of Postgraduate Education, Moscow, Russian Federation
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