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Freimane L, Barkāne L, Kivrane A, Sadovska D, Ulanova V, Ranka R. Assessment of Amikacin- and Capreomycin-Related Adverse Drug Reactions in Patients with Multidrug-Resistant Tuberculosis and Exploring the Role of Genetic Factors. J Pers Med 2023; 13:jpm13040599. [PMID: 37108985 PMCID: PMC10145258 DOI: 10.3390/jpm13040599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/24/2023] [Accepted: 03/25/2023] [Indexed: 03/31/2023] Open
Abstract
Following the introduction of all-oral treatment regimens for patients with drug-resistant tuberculosis (TB), second-line injectable drug applications have been reduced in the last few years. However, they are still important for anti-TB therapy. This study aims to analyze the occurrence of amikacin- and capreomycin-related adverse drug reactions (ADR) in patients with multidrug-resistant tuberculosis (MDR-TB) and evaluate the role of multiple patient-, disease-, and therapy-related factors on the frequency of the observed adverse events. In addition, the possible role of genetic risk factors was studied by full-length mitochondrial DNA sequencing. Toward this aim, we retrospectively evaluated 47 patients with MDR-TB who received amikacin and/or capreomycin. In total, 16 (34.0%) patients developed ototoxicity and 13 (27.7%) developed nephrotoxicity, including 3 (6.4%) patients who experienced both adverse events. Ototoxicity development was more common in patients who received amikacin. No other factors showed a significant impact. Nephrotoxicity was likely associated with previous renal health impairment. Full mitochondrial genome sequencing did not reveal any specific ADR-associated variants, and results showed no differences in adverse event occurrence for any specific variants, mutation count, or mitochondrial haplogroup. The absence of the previously reported ototoxicity-related mtDNA variants in our patients with ototoxicity and nephrotoxicity highlighted the complex nature of the ADR occurrence.
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Kristjansson D, Schurr TG, Bohlin J, Jugessur A. Phylogeographic history of mitochondrial haplogroup J in Scandinavia. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023; 180:298-315. [PMID: 36790764 PMCID: PMC10100211 DOI: 10.1002/ajpa.24666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/10/2022] [Accepted: 11/13/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Mitochondrial DNA haplogroup J is the third most frequent haplogroup in modern-day Scandinavia, although it did not originate there. To infer the genetic history of haplogroup J in Scandinavia, we examined worldwide mitogenome sequences using a maximum-likelihood phylogenetic approach. METHODS Haplogroup J mitogenome sequences were gathered from GenBank (n = 2245) and aligned against the ancestral Reconstructed Sapiens Reference Sequence. We also analyzed haplogroup J Viking Age sequences from the European Nucleotide Archive (n = 54). Genetic distances were estimated from these data and projected onto a maximum likelihood rooted phylogenetic tree to analyze clustering and branching dates. RESULTS Haplogroup J originated approximately 42.6 kya (95% CI: 30.0-64.7), with several of its earliest branches being found within the Arabian Peninsula and Northern Africa. J1b was found most frequently in the Near East and Arabian Peninsula, while J1c occurred most frequently in Europe. Based on phylogenetic dating, subhaplogroup J1c has its early roots in the Mediterranean and Western Balkans. Otherwise, the majority of the branches found in Scandinavia are younger than those seen elsewhere, indicating that haplogroup J dispersed relatively recently into Northern Europe, most plausibly with Neolithic farmers. CONCLUSIONS Haplogroup J appeared when Scandinavia was transitioning to agriculture over 6 kya, with J1c being the most common lineage there today. Changes in the distribution of haplogroup J mtDNAs were likely driven by the expansion of farming from West Asia into Southern Europe, followed by a later expansion into Scandinavia, with other J subhaplogroups appearing among Scandinavian groups as early as the Viking Age.
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Affiliation(s)
- Dana Kristjansson
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, Faculty of Medicine, University of Bergen, Bergen, Norway.,Center of Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Theodore G Schurr
- Department of Anthropology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jon Bohlin
- Center of Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway
| | - Astanand Jugessur
- Department of Global Public Health and Primary Care, Faculty of Medicine, University of Bergen, Bergen, Norway.,Center of Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
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Xiong J, Tao Y, Ben M, Yang Y, Du P, Allen E, Wang H, Xu Y, Yu Y, Meng H, Bao H, Zhou B, Chen G, Li H, Wen S. Uniparental Genetic Analyses Reveal Multi-Ethnic Background of Dunhuang Foyemiaowan Population (220–907 CE) With Typical Han Chinese Archaological Culture. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.901295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
The relationship between archeological culture and ethnicity is invariably complex. This is especially the case for periods of national division and rapid inter-ethnic exchange, such as China’s Sixteen Kingdoms (304–439 CE) and Northern and Southern Dynasties (420–589 CE). Going by tomb shape and grave goods, the Foyemiaowan cemetery at Dunhuang exhibits a typical third–tenth century Han style. Despite this, the ethnic makeup of the Foyemiaowan population has remained unclear. We therefore analyzed 485 Y-chromosomal SNPs and entire mitochondrial genomes of 34 Foyemiaowan samples. Our study yielded the following discoveries: (1) principal component analysis revealed that the Foyemiaowan population was closely clustered with Tibeto-Burman populations on the paternal side and close to Mongolic-speaking populations on the maternal side; (2) lineage comparisons at the individual level showed that the Foyemiaowan population consisted of primarily Tibeto-Burman and Han Chinese related lineages (Oα-M117, 25%;Oβ-F46, 18.75%), partially Altaic speaking North Eurasian lineages (N-F1206, 18.75%) and a slight admixture of southern East Asian lineages (O1b1a2-Page59, 6.25%; O1b1a1-PK4, 3.13%). Similarly, the maternal gene pool of Foyemiaowan contained northern East Asian (A, 4.17%; CZ, 16.67%; D, 20.83%; G, 4.17%; M9, 4.17%), southern East Asian (B, 12.51%; F, 20.83%) and western Eurasian (H, 4.17%; J, 4.17%) related lineages; (3) we discovered a relatively high genetic diversity among the Foyemiaowan population (0.891) in our ancient reference populations, indicating a complex history of population admixture. Archeological findings, stable isotope analysis and historical documents further corroborated our results. Although in this period China’s central government had relinquished control of the Hexi Corridor and regional non-Han regimes became the dominant regional power, Foyemiaowan’s inhabitants remained strongly influenced by Han culture.
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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: 42] [Impact Index Per Article: 8.4] [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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Dzhaubermezov MA, Ekomasova NV, Reidla M, Litvinov SS, Gabidullina LR, Villems R, Khusnutdinova EK. Genetic Characterization of Balkars and Karachays Using mtDNA Data. RUSS J GENET+ 2019. [DOI: 10.1134/s1022795419010058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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6
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Igumnova V, Veidemane L, Vīksna A, Capligina V, Zole E, Ranka R. The prevalence of mitochondrial mutations associated with aminoglycoside-induced deafness in ethnic Latvian population: the appraisal of the evidence. J Hum Genet 2018; 64:199-206. [PMID: 30523288 DOI: 10.1038/s10038-018-0544-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 11/02/2018] [Accepted: 11/02/2018] [Indexed: 11/09/2022]
Abstract
Aminoglycosides are potent antibiotics which are used to treat severe gram-negative infections, neonatal sepsis, and multidrug-resistant tuberculosis. Ototoxicity is a well-known side effect of aminoglycosides, and a rapid, profound, and irreversible hearing loss can occur in predisposed individuals. MT-RNR1 gene encoding the mitochondrial ribosomal 12S subunit is a hot spot for aminoglycoside-induced hearing loss mutations, however, a variability in the nature and frequency of genetic changes in different populations exists. The objective of this study was to analyze MT-RNR1 gene mutations in a Baltic-speaking Latvian population, and to estimate the prevalence of such genetic changes in the population-specific mitochondrial haplogroups. In the cohort of 191 ethnic non-related Latvians, the presence of two deafness-associated mutations, m.1555A>G and m.827A>G, three potentially pathogenic variations, m.961insC(n), m.961T>G and m.951G>A, and one unknown substitution, m961T>A was detected, and the aggregate frequency of all variants was 7.3%. All genetic changes were detected in samples belonged to the haplogroups H, U, T, and J. The presence of several aminoglycoside ototoxicity-related MT-RNR1 gene mutations in Baltic-speaking Latvian population indicates the necessity to include ototoxicity-related mutation analysis in the future studies in order to determine the feasibility of DNA screening for patients before administration of aminoglycoside therapy.
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Affiliation(s)
- Viktorija Igumnova
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1, Riga, LV-1067, Latvia.,Department of Pharmaceutical Chemistry, Rīga Stradinš University, Dzirciema Str. 16, Riga, LV-1007, Latvia
| | - Lauma Veidemane
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1, Riga, LV-1067, Latvia
| | - Anda Vīksna
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Stopiņi region, Upeslejas, LV-2118, Latvia
| | - Valentina Capligina
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1, Riga, LV-1067, Latvia
| | - Egija Zole
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1, Riga, LV-1067, Latvia
| | - Renate Ranka
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1, Riga, LV-1067, Latvia. .,Department of Pharmaceutical Chemistry, Rīga Stradinš University, Dzirciema Str. 16, Riga, LV-1007, Latvia.
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7
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Ozola A, Ruklisa D, Pjanova D. Association of the 16q24.3 region gene variants rs1805007 and rs4785763 with heightened risk of melanoma in Latvian population. Meta Gene 2018. [DOI: 10.1016/j.mgene.2018.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
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8
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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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Šebest L, Baldovič M, Frtús A, Bognár C, Kyselicová K, Kádasi Ľ, Beňuš R. Detection of mitochondrial haplogroups in a small avar-slavic population from the eigth-ninth century AD. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2018; 165:536-553. [PMID: 29345305 DOI: 10.1002/ajpa.23380] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 10/31/2017] [Accepted: 12/09/2017] [Indexed: 11/08/2022]
Abstract
OBJECTIVES In the sixth century AD, Avars came to Central Europe from middle Eurasian steppes and founded a strong Empire called the Avar Khagante (568-799/803 AD) in the Pannonian basin. During the existence of this empire, they undertook many military and pugnacious campaigns. In the seventh century, they conquered the northern territory inhabited by Slavs, who were further recruited in Avar military and were commissioned with obtaining food supplies. During almost 200 years of Avar domination, a significant influence by the Avar culture (especially on the burial rite) and assimilation with indigenous population (occurrence of "East Asian"cranial features) could be noticed in this mixed area, which is supported by achaeological and anthropologcal research. Therefore we expected higher incidence of east Eurasian haplogroups (introduced by Avars) than the frequencies detected in present-day central European populations. MATERIALS AND METHODS Mitochondrial DNA from 62 human skeletal remains excavated from the Avar-Slavic burial site Cífer-Pác (Slovakia) dated to the eighth and ninth century was analyzed by the sequencing of hypervariable region I and selected parts of coding region. Obtained haplotypes were compared with other present-day and historical populations and genetic distances were calculated using standard statistical method. RESULTS AND DISCUSSION In total, the detection of mitochondrial haplogroups was possible in 46 individuals. Our results prooved a higher frequency of east Eurasian haplogroups in our analyzed population (6.52%) than in present-day central European populations. However, it is almost three times lower than the frequency of east Eurasian haplogroups detected in other medieval Avar populations. The statistical analysis showed a greater similarity and the lowest genetic distances between the Avar-Slavic burial site Cifer-Pac and medieval European populations than the South Siberian, East and Central Asian populations. CONCLUSION Our results indicate that the transfer of Avar genetic variation through their mtDNA was rather weak in the analyzed mixed population.
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Affiliation(s)
- Lukáš Šebest
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Mlynska Dolina, Ilkovicova 6, Bratislava 842 15, Slovak Republic
| | - Marian Baldovič
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Mlynska Dolina, Ilkovicova 6, Bratislava 842 15, Slovak Republic
| | - Adam Frtús
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Mlynska Dolina, Ilkovicova 6, Bratislava 842 15, Slovak Republic
| | - Csaba Bognár
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Mlynska Dolina, Ilkovicova 6, Bratislava 842 15, Slovak Republic
| | - Klaudia Kyselicová
- Faculty of Medicine, Institute of Physiology, Comenius University, Sasinkova 2, Bratislava 813 72, Slovak Republic.,Department of Anthropology, Faculty of Natural Sciences, Comenius University, Mlynska Dolina, Ilkovicova 6, Bratislava 842 15, Slovak Republic
| | - Ľudevít Kádasi
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Mlynska Dolina, Ilkovicova 6, Bratislava 842 15, Slovak Republic.,Biomedical Research Center Slovak Academy of Sciences, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava 845 05, Slovak Republic
| | - Radoslav Beňuš
- Department of Anthropology, Faculty of Natural Sciences, Comenius University, Mlynska Dolina, Ilkovicova 6, Bratislava 842 15, Slovak Republic
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10
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Stavusis J, Inashkina I, Lace B, Pelnena D, Limborska S, Khrunin A, Kucinskas V, Krumina A, Piekuse L, Zorn B, Fodina V, Punab M, Erenpreiss J. A New Baltic Population-Specific Human Genetic Marker in the PMCA4 Gene. Hum Hered 2017; 82:140-146. [PMID: 29131013 DOI: 10.1159/000481434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 09/12/2017] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES The PMCA gene family consists of 4 genes and at least 21 splice variants; among these, the Ca2+ ATPase 4 (PMCA4) gene encodes a plasma membrane protein abundantly expressed in several tissues, including the kidney, heart, and sperm. Knockout of PMCA4 causes infertility due to immotile sperm in mouse models. We therefore investigated variants in this gene for potential association with infertility in groups of Estonian (n = 191) and Latvian (n = 92) men with reduced sperm motility. METHODS All exons, exon-intron boundaries, 5' and 3' untranslated regions, and the promoter region of the PMCA4 gene were analysed by direct sequencing for a group of Estonian infertile men. Genotyping of guanine and adenine alleles of rs147729934 was performed, using a custom-designed TaqMan® probe for a group of Latvian infertile men as well as additional groups from Latvia and several groups of people with proven ethnicity from the Baltic region. RESULTS Although we did not identify any significant associations between variants in the gene and infertility, our results indicated that in all studied Latvian and Estonian groups the adenine allele of the variant rs147729934 was present at a higher frequency than expected. Analysis of additional samples indicated that the adenine allele of rs147729934 likely originated once in the modern-day Baltic or western Russia area, as the frequency of the minor adenine allele observed in this region is remarkably higher than that in the general European population. CONCLUSIONS Our results revealed no significant difference in frequencies of genetic variants in PMCA4 gene between men with normal and those with reduced sperm motility. The adenine allele of the variant rs147729934 is potentially an informative tool for future population studies concerning ancient Baltic and Finno-Ugric history.
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Affiliation(s)
- Janis Stavusis
- Latvian Biomedical Research and Study Centre, Riga, Latvia
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11
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Inashkina I, Jankevics E, Stavusis J, Vasiljeva I, Viksne K, Micule I, Strautmanis J, Naudina MS, Cimbalistiene L, Kucinskas V, Krumina A, Utkus A, Burnyte B, Matuleviciene A, Lace B. Robust genotyping tool for autosomal recessive type of limb-girdle muscular dystrophies. BMC Musculoskelet Disord 2016; 17:200. [PMID: 27142102 PMCID: PMC4855345 DOI: 10.1186/s12891-016-1058-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 04/28/2016] [Indexed: 11/29/2022] Open
Abstract
Background Limb-girdle muscular dystrophies are characterized by predominant involvement of the shoulder and pelvic girdle and trunk muscle groups. Currently, there are 31 genes implicated in the different forms of limb-girdle muscular dystrophies, which exhibit similar phenotypes and clinical overlap; therefore, advanced molecular techniques are required to achieve differential diagnosis. Methods We investigated 26 patients from Latvia and 34 patients from Lithuania with clinical symptoms of limb-girdle muscular dystrophies, along with 565 healthy unrelated controls from general and ethnic populations using our developed test kit based on the Illumina VeraCode GoldenGate genotyping platform, Ion AmpliSeq Inherited Disease Panel and direct sequencing of mutations in calpain 3 (CAPN3), anoctamin 5 (ANO5) and fukutin related protein (FKRP) genes. Results Analysis revealed a homozygous CAPN3 c.550delA mutation in eight patients and three heterozygous variants in controls: dysferlin (DYSF) c.5028delG, CAPN3 c.2288A > G, and FKRP c.135C > T. Additionally, three mutations within FKRP gene were found: homozygous c.826C > A, and two compound – c.826C > A/c.404_405insT and c.826C > A/c.204_206delCTC mutations, and one mutation within CLCN1 gene – c.2680C > T p.Arg894Ter. ANO5 c.191dupA was not present. Conclusions Genetic diagnosis was possible in 12 of 60 patients (20 %). The allele frequency of CAPN3 gene mutation c.550delA in Latvia is 0.0016 and in Lithuania - 0.0029. The allele frequencies of CAPN3 gene mutation c.2288A > G and DYSF gene mutation c.4872delG are 0.003. Electronic supplementary material The online version of this article (doi:10.1186/s12891-016-1058-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Inna Inashkina
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia.
| | - Eriks Jankevics
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia
| | - Janis Stavusis
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia
| | - Inta Vasiljeva
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia
| | - Kristine Viksne
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia
| | - Ieva Micule
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia
| | - Jurgis Strautmanis
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia
| | - Maruta S Naudina
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia
| | - Loreta Cimbalistiene
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Centre for Medical Genetics, Vilnius University Hospital Santariškių Klinikos, Santariškių str. 2, LT-08661, Vilnius, Lithuania
| | - Vaidutis Kucinskas
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Astrida Krumina
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia
| | - Algirdas Utkus
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Centre for Medical Genetics, Vilnius University Hospital Santariškių Klinikos, Santariškių str. 2, LT-08661, Vilnius, Lithuania
| | - Birute Burnyte
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Centre for Medical Genetics, Vilnius University Hospital Santariškių Klinikos, Santariškių str. 2, LT-08661, Vilnius, Lithuania
| | - Ausra Matuleviciene
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.,Centre for Medical Genetics, Vilnius University Hospital Santariškių Klinikos, Santariškių str. 2, LT-08661, Vilnius, Lithuania
| | - Baiba Lace
- Biomedical Research and Study Centre, Ratsupites str. 1, k-1, LV-1067, Riga, Latvia.,Laval University, Quebec, Canada.,Centre hospitalier universitaire de Québec, 2705, boulevard Laurier, Québec, Québec, G1V 4G2, Canada
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12
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Vellarikkal SK, Dhiman H, Joshi K, Hasija Y, Sivasubbu S, Scaria V. mit-o-matic: a comprehensive computational pipeline for clinical evaluation of mitochondrial variations from next-generation sequencing datasets. Hum Mutat 2015; 36:419-24. [PMID: 25677119 DOI: 10.1002/humu.22767] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Accepted: 01/26/2015] [Indexed: 12/27/2022]
Abstract
The human mitochondrial genome has been reported to have a very high mutation rate as compared with the nuclear genome. A large number of mitochondrial mutations show significant phenotypic association and are involved in a broad spectrum of diseases. In recent years, there has been a remarkable progress in the understanding of mitochondrial genetics. The availability of next-generation sequencing (NGS) technologies have not only reduced sequencing cost by orders of magnitude but has also provided us good quality mitochondrial genome sequences with high coverage, thereby enabling decoding of a number of human mitochondrial diseases. In this study, we report a computational and experimental pipeline to decipher the human mitochondrial DNA variations and examine them for their clinical correlation. As a proof of principle, we also present a clinical study of a patient with Leigh disease and confirmed maternal inheritance of the causative allele. The pipeline is made available as a user-friendly online tool to annotate variants and find haplogroup, disease association, and heteroplasmic sites. The "mit-o-matic" computational pipeline represents a comprehensive cloud-based tool for clinical evaluation of mitochondrial genomic variations from NGS datasets. The tool is freely available at http://genome.igib.res.in/mitomatic/.
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Affiliation(s)
- Shamsudheen Karuthedath Vellarikkal
- Genomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology, Delhi, India; Academy of Scientific and Innovative Research (AcSIR), Anusandhan Bhawan, Delhi, India
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13
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Pliss L, Timša L, Rootsi S, Tambets K, Pelnena I, Zole E, Puzuka A, Sabule A, Rozane S, Lace B, Kucinskas V, Krumina A, Ranka R, Baumanis V. Y-Chromosomal Lineages of Latvians in the Context of the Genetic Variation of the Eastern-Baltic Region. Ann Hum Genet 2015; 79:418-30. [PMID: 26411886 DOI: 10.1111/ahg.12130] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 06/19/2015] [Accepted: 06/25/2015] [Indexed: 11/30/2022]
Abstract
Variations of the nonrecombining Y-chromosomal region were investigated in 159 unrelated Baltic-speaking ethnic Latvians from four different geographic regions, using 28 biallelic markers and 12 short tandem repeats. Eleven different haplogroups (hgs) were detected in a regionally homogeneous Latvian population, among which N1c, R1a, and I1 cover more than 85% of its paternal lineages. When compared its closest geographic neighbors, the composition of the Latvian Y-chromosomal gene pool was found to be very similar to those of Lithuanians and Estonians. Despite the comparable frequency distribution of hg N1c in Latvians and Lithuanians with the Finno-Ugric-speaking populations from the Eastern coast of the Baltic Sea, the observed differences in allelic variances of N1c haplotypes between these two groups are in concordance with the previously stated hypothesis of different dispersal ways of this lineage in the region. More than a third of Latvian paternal lineages belong specifically to a recently defined R1a-M558 hg, indicating an influence from a common source within Eastern Slavic populations on the formation of the present-day Latvian Y-chromosome gene pool.
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Affiliation(s)
- Liana Pliss
- Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Līga Timša
- Latvian Biomedical Research and Study Centre, Riga, Latvia
| | | | | | - Inese Pelnena
- Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Egija Zole
- Latvian Biomedical Research and Study Centre, Riga, Latvia
| | | | - Areta Sabule
- State Centre for Forensic Medical Examination of the Republic of Latvia, Riga, Latvia
| | - Sandra Rozane
- State Centre for Forensic Medical Examination of the Republic of Latvia, Riga, Latvia
| | - Baiba Lace
- Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Vaidutis Kucinskas
- Human Genome Research Centre, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | | | - Renate Ranka
- Latvian Biomedical Research and Study Centre, Riga, Latvia
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14
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Whole mitochondrial genome genetic diversity in an Estonian population sample. Int J Legal Med 2015; 130:67-71. [PMID: 26289416 DOI: 10.1007/s00414-015-1249-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 08/12/2015] [Indexed: 10/23/2022]
Abstract
Mitochondrial DNA is a useful marker for population studies, human identification, and forensic analysis. Commonly used hypervariable regions I and II (HVI/HVII) were reported to contain as little as 25% of mitochondrial DNA variants and therefore the majority of power of discrimination of mitochondrial DNA resides in the coding region. Massively parallel sequencing technology enables entire mitochondrial genome sequencing. In this study, buccal swabs were collected from 114 unrelated Estonians and whole mitochondrial genome sequences were generated using the Illumina MiSeq system. The results are concordant with previous mtDNA control region reports of high haplogroup HV and U frequencies (47.4 and 23.7% in this study, respectively) in the Estonian population. One sample with the Northern Asian haplogroup D was detected. The genetic diversity of the Estonian population sample was estimated to be 99.67 and 95.85%, for mtGenome and HVI/HVII data, respectively. The random match probability for mtGenome data was 1.20 versus 4.99% for HVI/HVII. The nucleotide mean pairwise difference was 27 ± 11 for mtGenome and 7 ± 3 for HVI/HVII data. These data describe the genetic diversity of the Estonian population sample and emphasize the power of discrimination of the entire mitochondrial genome over the hypervariable regions.
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15
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Zole E, Elferts D, Kimsis J, Krumina A, Narels K, Pole I, Ranka R, Pliss L. Comparison of telomere length between population-specific mitochondrial haplogroups among different age groups in a Latvian population. Mech Ageing Dev 2015; 145:13-7. [DOI: 10.1016/j.mad.2015.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Revised: 12/19/2014] [Accepted: 01/27/2015] [Indexed: 11/30/2022]
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16
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Knoll N, Jarick I, Volckmar AL, Klingenspor M, Illig T, Grallert H, Gieger C, Wichmann HE, Peters A, Wiegand S, Biebermann H, Fischer-Posovszky P, Wabitsch M, Völzke H, Nauck M, Teumer A, Rosskopf D, Rimmbach C, Schreiber S, Jacobs G, Lieb W, Franke A, Hebebrand J, Hinney A. Mitochondrial DNA variants in obesity. PLoS One 2014; 9:e94882. [PMID: 24788344 PMCID: PMC4008486 DOI: 10.1371/journal.pone.0094882] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2014] [Accepted: 03/19/2014] [Indexed: 12/28/2022] Open
Abstract
Heritability estimates for body mass index (BMI) variation are high. For mothers and their offspring higher BMI correlations have been described than for fathers. Variation(s) in the exclusively maternally inherited mitochondrial DNA (mtDNA) might contribute to this parental effect. Thirty-two to 40 mtDNA single nucleotide polymorphisms (SNPs) were available from genome-wide association study SNP arrays (Affymetrix 6.0). For discovery, we analyzed association in a case-control (CC) sample of 1,158 extremely obese children and adolescents and 435 lean adult controls. For independent confirmation, 7,014 population-based adults were analyzed as CC sample of n = 1,697 obese cases (BMI ≥ 30 kg/m2) and n = 2,373 normal weight and lean controls (BMI<25 kg/m2). SNPs were analyzed as single SNPs and haplogroups determined by HaploGrep. Fisher's two-sided exact test was used for association testing. Moreover, the D-loop was re-sequenced (Sanger) in 192 extremely obese children and adolescents and 192 lean adult controls. Association testing of detected variants was performed using Fisher's two-sided exact test. For discovery, nominal association with obesity was found for the frequent allele G of m.8994G/A (rs28358887, p = 0.002) located in ATP6. Haplogroup W was nominally overrepresented in the controls (p = 0.039). These findings could not be confirmed independently. For two of the 252 identified D-loop variants nominal association was detected (m.16292C/T, p = 0.007, m.16189T/C, p = 0.048). Only eight controls carried the m.16292T allele, five of whom belonged to haplogroup W that was initially enriched among these controls. m.16189T/C might create an uninterrupted poly-C tract located near a regulatory element involved in replication of mtDNA. Though follow-up of some D-loop variants still is conceivable, our hypothesis of a contribution of variation in the exclusively maternally inherited mtDNA to the observed larger correlations for BMI between mothers and their offspring could not be substantiated by the findings of the present study.
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Affiliation(s)
- Nadja Knoll
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, Essen, Germany
| | - Ivonne Jarick
- Institute of Medical Biometry and Epidemiology, Philipps-University of Marburg, Marburg, Germany
| | - Anna-Lena Volckmar
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, Essen, Germany
| | - Martin Klingenspor
- Molecular Nutritional Medicine, Technical University of Munich, Else Kröner-Fresenius Center, Freising-Weihenstephan, Germany
| | - Thomas Illig
- Research Unit of Molecular Epidemiology, Helmholtz Center Munich – German Research Center for Environmental Health, Neuherberg, Germany
- Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Center Munich – German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Center Munich – German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Center Munich – German Research Center for Environmental Health, Neuherberg, Germany
| | - Heinz-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Center Munich – German Research Center for Environmental Health, Neuherberg, Germany, Neuherberg, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Munich University Hospital, Campus Grosshadern, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Center Munich – German Research Center for Environmental Health, Neuherberg, Germany
| | - Susanna Wiegand
- Institute of Experimental Pediatric Endocrinology, Charité Berlin, Germany
| | - Heike Biebermann
- Institute of Experimental Pediatric Endocrinology, Charité Berlin, Germany
| | - Pamela Fischer-Posovszky
- Division of Pediatric Endocrinology and Diabetes, Department of Children and Adolescent Medicine, University of Ulm University Medical Center, Ulm, Germany
| | - Martin Wabitsch
- Division of Pediatric Endocrinology and Diabetes, Department of Children and Adolescent Medicine, University of Ulm University Medical Center, Ulm, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Dieter Rosskopf
- Institute for Pharmacology, University Medicine Greifswald, Greifswald, Greifswald, Germany
| | - Christian Rimmbach
- Institute for Pharmacology, University Medicine Greifswald, Greifswald, Greifswald, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Gunnar Jacobs
- Institute of Epidemiology and Biobank popgen, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank popgen, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, Essen, Germany
- * E-mail:
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17
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Sjakste T, Paramonova N, Wu LSS, Zemeckiene Z, Sitkauskiene B, Sakalauskas R, Wang JY, Sjakste N. PSMA6 (rs2277460, rs1048990), PSMC6 (rs2295826, rs2295827) and PSMA3 (rs2348071) genetic diversity in Latvians, Lithuanians and Taiwanese. Meta Gene 2014; 2:283-98. [PMID: 25606411 PMCID: PMC4287955 DOI: 10.1016/j.mgene.2014.03.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2014] [Revised: 03/11/2014] [Accepted: 03/17/2014] [Indexed: 11/16/2022] Open
Abstract
PSMA6 (rs2277460, rs1048990), PSMC6 (rs2295826, rs2295827) and PSMA3 (rs2348071) genetic diversity was investigated in 1438 unrelated subjects from Latvia, Lithuania and Taiwan. In general, polymorphism of each individual locus showed tendencies similar to determined previously in HapMap populations. Main differences concern Taiwanese and include presence of rs2277460 rare allele A not found before in Asians and absence of rs2295827 rare alleles homozygotes TT observed in all other human populations. Observed patterns of SNPs and haplotype diversity were compatible with expectation of neutral model of evolution. Linkage disequilibrium between the rs2295826 and rs2295827 was detected to be complete in Latvians and Lithuanians (D´ = 1; r2 = 1) and slightly disrupted in Taiwanese (D´ = 0.978; r2 = 0.901). Population differentiation (FST statistics) was estimated from pairwise population comparisons of loci variability, five locus haplotypes and PSMA6 and PSMC6 two locus haplotypes. Latvians were significantly different from all Asians at each of 5 SNPs and from Lithuanians at the rs1048990 and PSMC6 loci. Lithuanian and Asian populations exhibited similarities at the PSMC6 loci and were different at the PSMA6 and PSMA3 SNPs. Considering five locus haplotypes all European populations were significantly different from Asian; Lithuanian population was different from both Latvian and CEU. Allele specific patterns of transcription factor binding sites and splicing signals were predicted in silico and addressed to eventual functionality of nucleotide substitutions and their potential to be involved in human genome evolution and geographical adaptation. Current study represents a novel step toward a systematic analysis of the proteasomal gene genetic diversity in human populations. SNPs in PSMA6, PSMC6 and PSMA3 differentiate Latvian and Taiwanese populations. rs2277460, rs1048990 and rs2348071 differentiate Lithuanians and Taiwanese. Lithuanians and Taiwanese are similar in rs2295826, rs2295827 diversity. rs1048990, rs2295826 and rs2295827 differentiate Latvians and Lithuanians.
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Key Words
- Genetic diversity
- HWE, Hardy–Weinberg equilibrium
- HapMap HCB, Han Chinese
- HapMap JPT, Japanese
- HapMap-CEU, NorthWestern Europeans
- Human population
- LD, linkage disequilibrium
- LT, Lithuanian population
- LV, Latvian population
- PSMA3
- PSMA6
- PSMC6
- Proteasome
- SNP
- SNP, single nucleotide polymorphism
- T2DM, type 2 diabetes mellitus
- TF, transcription factor
- TFBS, transcription factor binding site
- TW, Taiwanese population
- UPS, ubiquitin–proteasome system
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Affiliation(s)
- Tatjana Sjakste
- Genomics and Bioinformatics, Institute of Biology of the University of Latvia, Miera str. 3, LV2169, Salaspils, Latvia
| | - Natalia Paramonova
- Genomics and Bioinformatics, Institute of Biology of the University of Latvia, Miera str. 3, LV2169, Salaspils, Latvia
| | | | - Zivile Zemeckiene
- Department of Laboratory Medicine, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Brigita Sitkauskiene
- Department of Pulmonology and Immunology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Raimundas Sakalauskas
- Department of Pulmonology and Immunology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Jiu-Yao Wang
- Division of Allergy and Clinical Immunology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Nikolajs Sjakste
- Faculty of Medicine, University of Latvia, Riga, Latvia ; Latvian Institute of Organic Synthesis, Riga, Latvia
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Kushniarevich A, Sivitskaya L, Danilenko N, Novogrodskii T, Tsybovsky I, Kiseleva A, Kotova S, Chaubey G, Metspalu E, Sahakyan H, Bahmanimehr A, Reidla M, Rootsi S, Parik J, Reisberg T, Achilli A, Hooshiar Kashani B, Gandini F, Olivieri A, Behar DM, Torroni A, Davydenko O, Villems R. Uniparental genetic heritage of belarusians: encounter of rare middle eastern matrilineages with a central European mitochondrial DNA pool. PLoS One 2013; 8:e66499. [PMID: 23785503 PMCID: PMC3681942 DOI: 10.1371/journal.pone.0066499] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Accepted: 05/06/2013] [Indexed: 11/19/2022] Open
Abstract
Ethnic Belarusians make up more than 80% of the nine and half million people inhabiting the Republic of Belarus. Belarusians together with Ukrainians and Russians represent the East Slavic linguistic group, largest both in numbers and territory, inhabiting East Europe alongside Baltic-, Finno-Permic- and Turkic-speaking people. Till date, only a limited number of low resolution genetic studies have been performed on this population. Therefore, with the phylogeographic analysis of 565 Y-chromosomes and 267 mitochondrial DNAs from six well covered geographic sub-regions of Belarus we strove to complement the existing genetic profile of eastern Europeans. Our results reveal that around 80% of the paternal Belarusian gene pool is composed of R1a, I2a and N1c Y-chromosome haplogroups – a profile which is very similar to the two other eastern European populations – Ukrainians and Russians. The maternal Belarusian gene pool encompasses a full range of West Eurasian haplogroups and agrees well with the genetic structure of central-east European populations. Our data attest that latitudinal gradients characterize the variation of the uniparentally transmitted gene pools of modern Belarusians. In particular, the Y-chromosome reflects movements of people in central-east Europe, starting probably as early as the beginning of the Holocene. Furthermore, the matrilineal legacy of Belarusians retains two rare mitochondrial DNA haplogroups, N1a3 and N3, whose phylogeographies were explored in detail after de novo sequencing of 20 and 13 complete mitogenomes, respectively, from all over Eurasia. Our phylogeographic analyses reveal that two mitochondrial DNA lineages, N3 and N1a3, both of Middle Eastern origin, might mark distinct events of matrilineal gene flow to Europe: during the mid-Holocene period and around the Pleistocene-Holocene transition, respectively.
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Der Sarkissian C, Balanovsky O, Brandt G, Khartanovich V, Buzhilova A, Koshel S, Zaporozhchenko V, Gronenborn D, Moiseyev V, Kolpakov E, Shumkin V, Alt KW, Balanovska E, Cooper A, Haak W. Ancient DNA reveals prehistoric gene-flow from siberia in the complex human population history of North East Europe. PLoS Genet 2013; 9:e1003296. [PMID: 23459685 PMCID: PMC3573127 DOI: 10.1371/journal.pgen.1003296] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2012] [Accepted: 12/18/2012] [Indexed: 11/25/2022] Open
Abstract
North East Europe harbors a high diversity of cultures and languages, suggesting a complex genetic history. Archaeological, anthropological, and genetic research has revealed a series of influences from Western and Eastern Eurasia in the past. While genetic data from modern-day populations is commonly used to make inferences about their origins and past migrations, ancient DNA provides a powerful test of such hypotheses by giving a snapshot of the past genetic diversity. In order to better understand the dynamics that have shaped the gene pool of North East Europeans, we generated and analyzed 34 mitochondrial genotypes from the skeletal remains of three archaeological sites in northwest Russia. These sites were dated to the Mesolithic and the Early Metal Age (7,500 and 3,500 uncalibrated years Before Present). We applied a suite of population genetic analyses (principal component analysis, genetic distance mapping, haplotype sharing analyses) and compared past demographic models through coalescent simulations using Bayesian Serial SimCoal and Approximate Bayesian Computation. Comparisons of genetic data from ancient and modern-day populations revealed significant changes in the mitochondrial makeup of North East Europeans through time. Mesolithic foragers showed high frequencies and diversity of haplogroups U (U2e, U4, U5a), a pattern observed previously in European hunter-gatherers from Iberia to Scandinavia. In contrast, the presence of mitochondrial DNA haplogroups C, D, and Z in Early Metal Age individuals suggested discontinuity with Mesolithic hunter-gatherers and genetic influx from central/eastern Siberia. We identified remarkable genetic dissimilarities between prehistoric and modern-day North East Europeans/Saami, which suggests an important role of post-Mesolithic migrations from Western Europe and subsequent population replacement/extinctions. This work demonstrates how ancient DNA can improve our understanding of human population movements across Eurasia. It contributes to the description of the spatio-temporal distribution of mitochondrial diversity and will be of significance for future reconstructions of the history of Europeans. The history of human populations can be retraced by studying the archaeological and anthropological record, but also by examining the current distribution of genetic markers, such as the maternally inherited mitochondrial DNA. Ancient DNA research allows the retrieval of DNA from ancient skeletal remains and contributes to the reconstruction of the human population history through the comparison of ancient and present-day genetic data. Here, we analysed the mitochondrial DNA of prehistoric remains from archaeological sites dated to 7,500 and 3,500 years Before Present. These sites are located in North East Europe, a region that displays a significant cultural and linguistic diversity today but for which no ancient human DNA was available before. We show that prehistoric hunter-gatherers of North East Europe were genetically similar to other European foragers. We also detected a prehistoric genetic input from Siberia, followed by migrations from Western Europe into North East Europe. Our research contributes to the understanding of the origins and past dynamics of human population in Europe.
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Affiliation(s)
- Clio Der Sarkissian
- Australian Centre for Ancient DNA, School of Earth and Environmental Sciences, University of Adelaide, Adelaide, South Australia, Australia
- * E-mail:
| | - Oleg Balanovsky
- Research Centre for Medical Genetics, Russian Academy of Medical Sciences, Moscow, Russia
- Vavilov Institute for General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Guido Brandt
- Institute of Anthropology, Johannes Gutenberg University of Mainz, Mainz, Germany
| | | | | | - Sergey Koshel
- Faculty of Geography, Moscow State University, Moscow, Russia
| | - Valery Zaporozhchenko
- Research Centre for Medical Genetics, Russian Academy of Medical Sciences, Moscow, Russia
| | | | | | - Eugen Kolpakov
- Institute for the History of Material Culture, Russian Academy of Science, St. Petersburg, Russia
| | - Vladimir Shumkin
- Institute for the History of Material Culture, Russian Academy of Science, St. Petersburg, Russia
| | - Kurt W. Alt
- Institute of Anthropology, Johannes Gutenberg University of Mainz, Mainz, Germany
| | - Elena Balanovska
- Research Centre for Medical Genetics, Russian Academy of Medical Sciences, Moscow, Russia
| | - Alan Cooper
- Australian Centre for Ancient DNA, School of Earth and Environmental Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Wolfgang Haak
- Australian Centre for Ancient DNA, School of Earth and Environmental Sciences, University of Adelaide, Adelaide, South Australia, Australia
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Balanovsky OP, Koshel SM, Zaporozhchenko VV, Pshenichnov AS, Frolova SA, Kuznetsova MA, Baranova EE, Teuchezh IE, Kuznetsova AA, Romashkina MV, Utevska OM, Churnosov ML, Villems R, Balanovska EV. Genetic ecological monitoring in human populations: Heterozygosity, mtDNA haplotype variation, and genetic load. RUSS J GENET+ 2011. [DOI: 10.1134/s1022795411110056] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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21
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Pliss L, Brakmanis A, Ranka R, Elferts D, Krumina A, Baumanis V. The link between mitochondrial DNA hypervariable segment I heteroplasmy and ageing among genetically unrelated Latvians. Exp Gerontol 2011; 46:560-8. [PMID: 21377516 DOI: 10.1016/j.exger.2011.02.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2010] [Revised: 12/23/2010] [Accepted: 02/16/2011] [Indexed: 11/17/2022]
Abstract
Various studies have demonstrated that mitochondrial DNA (mtDNA) heteroplasmy tends to increase with age and that the observed frequency of heteroplasmy among populations mostly depends on the way it is measured. Therefore, we investigated age-related association on the presence of mtDNA heteroplasmy within the hypervariable segment 1 (HVS-I) in a selected study group. The study group consisted of 300 maternally unrelated Latvians ranging in age from 18 to over 90 years. To determine the optimal method for mtDNA heteroplasmy detection, three approaches were used: (i) SURVEYOR Mutation Detection Kit, (ii) sequencing and (iii) denaturing gradient-gel electrophoresis (DGGE). Among the studied individuals, 30.3% were found to be heteroplasmic. The distribution of heteroplasmy statistically significantly increased with individuals' age (17%; 95% confidence interval [CI] 0.095-0.244 in the 18-40 year age group vs. 39%; [CI] 0.294-0.487 in the >90 year age group). Heteroplasmy occurred in a total of 21 different positions within HVS-I, and was the most frequent at fast-mutated positions 16189, 16304 and 16311. The results indicate that heteroplasmy in HVS-I is relatively common and occurs in a broad spectrum of sites. The above is supported by evidence to eventual increase of the probability of heteroplasmy with age due to specific mitochondrial haplogroup background.
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Affiliation(s)
- Liana Pliss
- Latvian Biomedical Research and Study Centre, Ratsupites iela 1, Riga, LV-1067, Latvia.
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22
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Vieira AR, Pliss L, Pelnena I, Krumina A, Baumanis V, Lace B. Mitochondrial DNA origins of the Latvian clefting population. Mitochondrion 2011; 11:357-9. [DOI: 10.1016/j.mito.2010.10.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2010] [Revised: 09/20/2010] [Accepted: 10/01/2010] [Indexed: 11/29/2022]
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23
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Malyarchuk BA, Perkova MA, Derenko MV. On the origin of Mongoloid component in the mitochondrial gene pool of Slavs. RUSS J GENET+ 2011. [DOI: 10.1134/s1022795408030162] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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24
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Flegontova OV, Khrunin AV, Lylova OI, Tarskaia LA, Spitsyn VA, Mikulich AI, Limborska SA. Haplotype frequencies at the DRD2 locus in populations of the East European Plain. BMC Genet 2009; 10:62. [PMID: 19793394 PMCID: PMC2765450 DOI: 10.1186/1471-2156-10-62] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2009] [Accepted: 09/30/2009] [Indexed: 11/18/2022] Open
Abstract
Background It was demonstrated previously that the three-locus RFLP haplotype, TaqI B-TaqI D-TaqI A (B-D-A), at the DRD2 locus constitutes a powerful genetic marker and probably reflects the most ancient dispersal of anatomically modern humans. Results We investigated TaqI B, BclI, MboI, TaqI D, and TaqI A RFLPs in 17 contemporary populations of the East European Plain and Siberia. Most of these populations belong to the Indo-European or Uralic language families. We identified three common haplotypes, which occurred in more than 90% of chromosomes investigated. The frequencies of the haplotypes differed according to linguistic and geographical affiliation. Conclusion Populations in the northwestern (Byelorussians from Mjadel'), northern (Russians from Mezen' and Oshevensk), and eastern (Russians from Puchezh) parts of the East European Plain had relatively high frequencies of haplotype B2-D2-A2, which may reflect admixture with Uralic-speaking populations that inhabited all of these regions in the Early Middle Ages.
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Affiliation(s)
- Olga V Flegontova
- Department of Human Molecular Genetics, Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia.
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25
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Martinez L, Mirabal S, Luis JR, Herrera RJ. Middle Eastern and European mtDNA lineages characterize populations from eastern Crete. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2008; 137:213-23. [PMID: 18500747 DOI: 10.1002/ajpa.20857] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Throughout centuries, the geographic location of the island of Crete has been one of the leading factors shaping the composition of its population. Invasions and commercial and cultural ties at various time periods with European, Middle Eastern, and North African civilizations have created a collage of genetic and/or cultural influences from each of these regions within the island. Previous Y-chromosome diversity analyses uncovered pronounced differences in the frequency distribution of haplogroups from a mountain refugium and surrounding lowland populations of eastern Crete. In this study, the current geographic stratification of mtDNA haplotypes in eastern Crete was explored to elucidate potential sources of maternal gene flow. Our work includes a comparative characterization of two lowland collections from the Heraklion and Lasithi Prefectures in eastern Crete, as well as of an isolated mountain population from the Lasithi Plateau, all three previously examined using Y-chromosome markers. In addition to the presence of European mtDNA haplogroups in all three collections, our analyses reveal a significant contribution of Middle Eastern and Central Asian genetic signatures in the island of Crete, and particularly in the two populations from the Lasithi region at the eastern-most portion of the island. Close association between these Cretan groups and the Balkans can also be discerned, which in the case of the Lasithi Plateau corroborates previously uncovered Y-chromosome affiliations with the same geographic region.
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Affiliation(s)
- Laisel Martinez
- Department of Biological Sciences, Florida International University, Miami, Florida 33199, USA
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26
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Malyarchuk B, Grzybowski T, Derenko M, Perkova M, Vanecek T, Lazur J, Gomolcak P, Tsybovsky I. Mitochondrial DNA phylogeny in Eastern and Western Slavs. Mol Biol Evol 2008; 25:1651-8. [PMID: 18477584 DOI: 10.1093/molbev/msn114] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
To resolve the phylogeny of certain mitochondrial DNA (mtDNA) haplogroups in eastern Europe and estimate their evolutionary age, a total of 73 samples representing mitochondrial haplogroups U4, HV*, and R1 were selected for complete mitochondrial genome sequencing from a collection of about 2,000 control region sequences sampled in eastern (Russians, Belorussians, and Ukrainians) and western (Poles, Czechs, and Slovaks) Slavs. On the basis of whole-genome resolution, we fully characterized a number of haplogroups (HV3, HV4, U4a1, U4a2, U4a3, U4b, U4c, U4d, and R1a) that were previously described only partially. Our findings demonstrate that haplogroups HV3, HV4, and U4a1 could be traced back to the pre-Neolithic times ( approximately 12,000-19,000 years before present [YBP]) in eastern Europe. In addition, an ancient connection between the Caucasus/Europe and India has been revealed by analysis of haplogroup R1 diversity, with a split between the Indian and Caucasus/European R1a lineages occurring about 16,500 years ago. Meanwhile, some mtDNA subgroups detected in Slavs (such as U4a2a, U4a2*, HV3a, and R1a1) are definitely younger being dated between 6,400 and 8,200 YBP. However, robust age estimations appear to be problematic due to the high ratios of nonsynonymous to synonymous substitutions found in young mtDNA subclusters.
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Affiliation(s)
- B Malyarchuk
- Institute of Biological Problems of the North, Far-East Branch of the Russian Academy of Sciences, Magadan, Russia.
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27
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Reconstructing the phylogeny of African mitochondrial DNA lineages in Slavs. Eur J Hum Genet 2008; 16:1091-6. [PMID: 18398433 DOI: 10.1038/ejhg.2008.70] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
To elucidate the origin of African-specific mtDNA lineages, revealed previously in Slavonic populations (at frequency of about 0.4%), we completely sequenced eight African genomes belonging to haplogroups L1b, L2a, L3b, L3d and M1 gathered from Russians, Czechs, Slovaks and Poles. Results of phylogeographic analysis suggest that at least part of the African mtDNA lineages found in Slavs (such as L1b, L3b1, L3d) appears to be of West African origin, testifying to an opportunity of their occurrence as a result of migrations to Eastern Europe through Iberia. However, a prehistoric introgression of African mtDNA lineages into Eastern Europe (approximately 10 000 years ago) seems to be probable only for European-specific subclade L2a1a, defined by coding region mutations at positions 6722 and 12903 and detected in Czechs and Slovaks. Further studies of the nature of African admixture in gene pools of Europeans require the essential enlargement of databases of African complete mitochondrial genomes.
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Malyarchuk BA, Perkova MA, Derenko MV, Vanecek T, Lazur J, Gomolcak P. Mitochondrial DNA variability in Slovaks, with application to the Roma origin. Ann Hum Genet 2008; 72:228-40. [PMID: 18205894 DOI: 10.1111/j.1469-1809.2007.00410.x] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
To gain insight into the mitochondrial gene pool diversity of European populations, we studied mitochondrial DNA (mtDNA) variability in 207 subjects from western and eastern areas of Slovakia. Sequencing of two hypervariable segments, HVS I and HVS II, in combination with screening of coding region haplogroup-specific RFLP-markers, revealed that the majority of Slovak mtDNAs belong to the common West Eurasian mitochondrial haplogroups (HV, J, T, U, N1, W, and X). However, a few sub-Saharan African (L2a) mtDNAs were detected in a population from eastern part of Slovakia. In addition, about 3% of mtDNAs from eastern Slovakia encompass Roma-specific lineages. By means of complete mtDNA sequencing we demonstrate here that the Roma-specific M-lineages observed in gene pools of different Slavonic populations (Slovaks, Poles and Russians), belong to Indian-specific haplogroups M5a1 and M35. Moreover, we show that haplogroup J lineages found in gene pools of the Roma and some Slavonic populations (Czechs and Slovaks) belong to new subhaplogroup J1a, which is defined by coding region mutation at position 8460.
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Affiliation(s)
- B A Malyarchuk
- Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya str. 18, Magadan, Russia.
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29
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Pjanova D, Engele L, Randerson-Moor JA, Harland M, Bishop DT, Newton Bishop JA, Taylor C, Debniak T, Lubinski J, Kleina R, Heisele O. CDKN2A and CDK4 variants in Latvian melanoma patients: analysis of a clinic-based population. Melanoma Res 2007; 17:185-91. [PMID: 17505264 DOI: 10.1097/cmr.0b013e328014a2cd] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Germline mutations of the CDKN2A and CDK4 genes explain a significant proportion of familial melanoma. To date, there have been few published estimations of the prevalence of such mutations in sporadic melanoma patients. In this study, we investigated CDKN2A and CDK4 exon 2 for germline mutations in 125 consecutive cutaneous malignant melanoma patients recruited through the Latvian Oncological Center, using amplicon melting analysis and sequencing. No disease-related CDKN2A germline mutations were identified in any of the melanoma patients analysed but the previously described CDK4 mutation, Arg24His, was found in one patient with a family history of melanoma. CDKN2A polymorphisms were studied as putative low penetrance susceptibility genes. The proportion of cases with polymorphisms in this Latvian melanoma population was Ala148Thr (c.442G>A) (6%), 500 C/G (c.*29C>G) (18%), and 540 C/T (c.*69C>T) (20%); however, only the frequency of the Ala148Thr polymorphism was higher in melanoma patients than in 203 controls (6 versus 1%, P=0.03). Ala148Thr has also been reported in association with melanoma in a Polish series but not in an English series. We therefore examined the Ala148Thr carrier's haplotype in 10 Latvian and 39 Polish samples. No significant difference was seen between these populations and the predominant haplotype observed in English samples, giving no indication that the discrepancy could be explained by population differences in linkage disequilibrium. In summary, our results show that germline mutations at the CDKN2A locus are rare in sporadic melanoma in Latvia. The study does, however, provide some additional evidence for a role for the CDKN2A polymorphism Ala148Thr as a low penetrance susceptibility gene. The detected CDK4 exon 2 mutation was found in only the seventh family identified worldwide with a germline CDK4 mutation.
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Affiliation(s)
- Dace Pjanova
- Latvian Biomedical Research and Study Centre, Riga, Latvia.
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30
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Achilli A, Olivieri A, Pala M, Metspalu E, Fornarino S, Battaglia V, Accetturo M, Kutuev I, Khusnutdinova E, Pennarun E, Cerutti N, Di Gaetano C, Crobu F, Palli D, Matullo G, Santachiara-Benerecetti AS, Cavalli-Sforza LL, Semino O, Villems R, Bandelt HJ, Piazza A, Torroni A. Mitochondrial DNA variation of modern Tuscans supports the near eastern origin of Etruscans. Am J Hum Genet 2007; 80:759-68. [PMID: 17357081 PMCID: PMC1852723 DOI: 10.1086/512822] [Citation(s) in RCA: 75] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2006] [Accepted: 01/10/2007] [Indexed: 11/03/2022] Open
Abstract
The origin of the Etruscan people has been a source of major controversy for the past 2,500 years, and several hypotheses have been proposed to explain their language and sophisticated culture, including an Aegean/Anatolian origin. To address this issue, we analyzed the mitochondrial DNA (mtDNA) of 322 subjects from three well-defined areas of Tuscany and compared their sequence variation with that of 55 western Eurasian populations. Interpopulation comparisons reveal that the modern population of Murlo, a small town of Etruscan origin, is characterized by an unusually high frequency (17.5%) of Near Eastern mtDNA haplogroups. Each of these haplogroups is represented by different haplotypes, thus dismissing the possibility that the genetic allocation of the Murlo people is due to drift. Other Tuscan populations do not show the same striking feature; however, overall, ~5% of mtDNA haplotypes in Tuscany are shared exclusively between Tuscans and Near Easterners and occupy terminal positions in the phylogeny. These findings support a direct and rather recent genetic input from the Near East--a scenario in agreement with the Lydian origin of Etruscans. Such a genetic contribution has been extensively diluted by admixture, but it appears that there are still locations in Tuscany, such as Murlo, where traces of its arrival are easily detectable.
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Affiliation(s)
- Alessandro Achilli
- Dipartimento di Genetica e Microbiologia, Universita di Pavia, Pavia, Italy
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