Page 138 of 139 FirstFirst ... 3888128136137138139 LastLast
Results 1,371 to 1,380 of 1390

Thread: New DNA Papers

  1. #1371
    Gold Class Member
    Posts
    579
    Sex
    Location
    San Diego, CA
    Ethnicity
    Polish/British Isles
    Nationality
    U.S.
    Y-DNA (P)
    R-A9185
    mtDNA (M)
    H1
    mtDNA (P)
    J1c2

    Poland England Ireland Munster

    High-depth African genomes inform human migration and health

    High-depth African genomes inform human migration and health
    Ananyo Choudhury, Shaun Aron, Laura R. Botigué, Dhriti Sengupta, Gerrit Botha, Taoufik Bensellak, Gordon Wells, Judit Kumuthini, Daniel Shriner, Yasmina J. Fakim, Anisah W. Ghoorah, Eileen Dareng, Trust Odia, Oluwadamilare Falola, Ezekiel Adebiyi, Scott Hazelhurst, Gaston Mazandu, Oscar A. Nyangiri, Mamana Mbiyavanga, Alia Benkahla, Samar K. Kassim, Nicola Mulder, Sally N. Adebamowo, Emile R. Chimusa, Donna Muzny, Ginger Metcalf, Richard A. Gibbs, TrypanoGEN Research Group, Charles Rotimi, Michèle Ramsay, H3Africa Consortium, Adebowale A. Adeyemo, Zané Lombard & Neil A. Hanchard

    Abstract
    The African continent is regarded as the cradle of modern humans and African genomes contain more genetic variation than those from any other continent, yet only a fraction of the genetic diversity among African individuals has been surveyed1. Here we performed whole-genome sequencing analyses of 426 individuals—comprising 50 ethnolinguistic groups, including previously unsampled populations—to explore the breadth of genomic diversity across Africa. We uncovered more than 3 million previously undescribed variants, most of which were found among individuals from newly sampled ethnolinguistic groups, as well as 62 previously unreported loci that are under strong selection, which were predominantly found in genes that are involved in viral immunity, DNA repair and metabolism. We observed complex patterns of ancestral admixture and putative-damaging and novel variation, both within and between populations, alongside evidence that Zambia was a likely intermediate site along the routes of expansion of Bantu-speaking populations. Pathogenic variants in genes that are currently characterized as medically relevant were uncommon—but in other genes, variants denoted as ‘likely pathogenic’ in the ClinVar database were commonly observed. Collectively, these findings refine our current understanding of continental migration, identify gene flow and the response to human disease as strong drivers of genome-level population variation, and underscore the scientific imperative for a broader characterization of the genomic diversity of African individuals to understand human ancestry and improve health.

    Africa.PCA.png

    a, Geographical regions and populations of origin for H3Africa WGS data. The size of the circles indicates the relative number of sequenced samples from each population group (before quality control; Supplementary Methods Table 1). Samples with WGS data from the 1000 Genomes Project and the African Genome Variation Project are included for comparison (grey circles). CAM includes 25 individuals who are homozygous for the sickle mutation (HbSS); MAL includes unaffected individuals with a family history of neurological disease; BOT comprises children who are HIV-positive; BRN included only female participants. 1000G, 1000 Genome Project; AGVP, African Genome Variation Project. Maps were created using R43. b, Principal component analysis of African WGS data showing the first two principal components. New populations used in this study are indicated by crosses. Population abbreviations are as described in the 1000 Genomes and H3Africa Projects as provided in Supplementary Methods Table 1 and Supplementary Table 22. Shaded background elipses relate to the geographical regions as shown in a.

    Last edited by pmokeefe; 10-28-2020 at 05:41 PM.
    YFull: YF14620 (Dante Labs 2018)

  2. The Following 25 Users Say Thank You to pmokeefe For This Useful Post:

     Agamemnon (10-28-2020),  Andour (10-28-2020),  Angoliga (10-28-2020),  blackflash16 (10-28-2020),  Grossvater (10-29-2020),  grumpydaddybear (10-28-2020),  Helves (11-10-2020),  Judith (10-29-2020),  Lenny Nero (10-29-2020),  Megalophias (10-28-2020),  Michalis Moriopoulos (10-29-2020),  Milkyway (10-28-2020),  Nebuchadnezzar II (10-28-2020),  palamede (10-28-2020),  parasar (11-11-2020),  Piquerobi (10-28-2020),  razyn (10-29-2020),  RCO (10-28-2020),  Ryukendo (12-02-2020),  Saetro (10-28-2020),  Seabass (10-28-2020),  sheepslayer (10-28-2020),  Targum (10-28-2020),  ThaYamamoto (10-28-2020),  user2 (11-14-2020)

  3. #1372
    Gold Class Member
    Posts
    579
    Sex
    Location
    San Diego, CA
    Ethnicity
    Polish/British Isles
    Nationality
    U.S.
    Y-DNA (P)
    R-A9185
    mtDNA (M)
    H1
    mtDNA (P)
    J1c2

    Poland England Ireland Munster
    Exome sequencing of Finnish isolates enhances rare-variant association power
    Adam E. Locke, Karyn Meltz Steinberg, […]Nelson B. Freimer
    Abstract
    Exome-sequencing studies have generally been underpowered to identify deleterious alleles with a large effect on complex traits as such alleles are mostly rare. Because the population of northern and eastern Finland has expanded considerably and in isolation following a series of bottlenecks, individuals of these populations have numerous deleterious alleles at a relatively high frequency. Here, using exome sequencing of nearly 20,000 individuals from these regions, we investigate the role of rare coding variants in clinically relevant quantitative cardiometabolic traits. Exome-wide association studies for 64 quantitative traits identified 26 newly associated deleterious alleles. Of these 26 alleles, 19 are either unique to or more than 20 times more frequent in Finnish individuals than in other Europeans and show geographical clustering comparable to Mendelian disease mutations that are characteristic of the Finnish population. We estimate that sequencing studies of populations without this unique history would require hundreds of thousands to millions of participants to achieve comparable association power.

    Extended Data Fig. 7: Population structure of the FinMetSeq dataset, by region.

    Extended Data Fig. 8: Hierarchical clustering tree produced by fineSTRUCTURE.

    Thread for paper here:
    https://anthrogenica.com/showthread....ociation-power
    Last edited by pmokeefe; 10-28-2020 at 11:10 PM.
    YFull: YF14620 (Dante Labs 2018)

  4. The Following 5 Users Say Thank You to pmokeefe For This Useful Post:

     Grossvater (10-29-2020),  grumpydaddybear (10-28-2020),  Milkyway (10-28-2020),  parasar (10-29-2020),  sheepslayer (10-28-2020)

  5. #1373
    Gold Class Member
    Posts
    579
    Sex
    Location
    San Diego, CA
    Ethnicity
    Polish/British Isles
    Nationality
    U.S.
    Y-DNA (P)
    R-A9185
    mtDNA (M)
    H1
    mtDNA (P)
    J1c2

    Poland England Ireland Munster

    Effects of Evolutionary History and Substructure on Modern Populations- ASHG 2020

    Selected abstracts from the session Effects of Evolutionary History and Substructure on Modern Populations at ASHG 2020

    Neanderthal Homologous Regions in African Populations Arose Predominantly through Ancient African to Neanderthal Admixture
    Harris et al.
    Abstract
    There is strong evidence that anatomically modern humans (AMH) and Neanderthals admixed after the Out-of-Africa expansion. Most of this admixture is identified in non-African AMH populations. However, recent analyses suggest that there was an early AMH migration from Africa that led to gene flow into Neanderthals, and back migrations of West Eurasians that introduced Neanderthal ancestry to sub-Saharan Africans. To further investigate admixture between Neanderthals and AMH, we used a recently published method called IBDmix to identify Neanderthal homologous regions (NHR) in 180 AMH African individuals from Botswana, Cameroon, Ethiopia, and Tanzania. We discovered NHR in all individuals, totaling from 7 to 22 megabases (MB ) per individual. The average size of an NHR ranges from 75 to 110 kilobases per individual. These distributions of NHR are likely impacted by recent gene flow from non-sub-Saharan African sources primarily into East Africa; we identified a strong positive correlation between an individual’s non-sub-Saharan African ancestry and both their cumulative size of NHR (R2 = 0.8582), and their average NHR size (R2 = 0.6174). The distribution of the cumulative NHR size in individuals without non-sub-Saharan African admixture is narrow (sd = 1.01 MB ), and most of these NHR are shared between populations, which likely reflects AMH to Neanderthal admixture. Based on analyses of genetic distance between AMH and Neanderthals at NHR, we estimated that 93-100% of NHR in populations without non-sub-Saharan African admixture are likely due to AMH to Neanderthal admixture. However, for populations with non-sub-Saharan African admixture we estimated that 10-64% of their NHR are likely due to Neanderthal to AMH admixture. Interestingly, the Amhara and Fulani populations, which are from Ethiopia and Cameroon, respectively, are estimated to have substantial non-sub-Saharan African admixture, but share few NHR. Local ancestry analysis revealed that the NHR in the Fulani are primarily from North African populations, and the NHR in the Amhara have a large contribution from Levant populations. Through the analysis of NHR in African AMH populations, we provided additional support for ancient gene flow from AMH to Neanderthals, and identified different sources of Neanderthal ancestry in the Fulani compared to East African populations.

    Genetic-substructure and complex demographic history of South African Bantu speakers.
    Sengupta et al
    Abstract
    More than 40 million South Africans speak at least one of the languages belonging to the South-Eastern Bantu (SEB ) language family. Most of these SEB-speaking groups have a very specific geographic distribution within the country. Genetically, the SEB-speakers are distinct from other Bantu-speakers as they are known to have admixed with the indigenous Khoe-San (K-S) people. Despite having clear linguistic, ancestral and geographic diversity, the genetic differences between South African SEB groups have not been investigated systematically, often leading to the consideration of SEB groups as a single genetic unit.
    Based on genome-wide SNP data from over 5000 individuals, representing eight major SEB groups (Tsonga, Venda, Pedi, Sotho, Tswana, Zulu, Swazi and Xhosa), genotyped on the novel H3A-genotyping array (2.3M variants), we report the first comprehensive genetic study of SEB groups. Principle component analysis (PCA) provides strong evidence for a fine-scale population structure that broadly aligns to the geographic distribution of SEB groups in the country. Both, PCA and genetic distance-based trees concurs with linguistic phylogenies showing separation of the three major SEB linguistic groups: Tsonga, Sotho-Tswana (Sotho, Pedi and Tswana) and Nguni (Zulu and Xhosa) speakers. Differential K-S gene flow, ranging from ~2% in Tsonga to ~20% in Tswana, plays a key role in the differentiation of the SEB groups. The observed population sub-structure persists even after K-S ancestry masking, although reduced. In accordance with the observed structure, dates of K-S admixture and effective population size (Ne) fluctuations correspond to differences in demographic histories of SEB groups. Together, the convergence of earliest dates of K-S admixture and the differentiation of Ne profiles around 40 generations ago likely reflect the initiation of migration events that gradually separated the demographic history of these populations. The comparisons with five Iron-Age Bantu-related genomes supported genetic continuity since last 300-500 years ago in certain regions of the country. Finally, based on simulated trait genome-wide association studies (GWAS), we demonstrated that the detected fine-scale population structure have major implications for biomedical and genomics research in Southern Africa.
    Overall, our study significantly enhances our understanding of the complex demographic history of SEB groups from South Africa, and highlights the necessity for nuanced study designs in population genetics and GWAS, especially candidate gene-based studies where correction for population structure and admixture is not possible.

    Native American gene flow into Polynesia predating the settlement of Easter Island confirms voyaging contact between the Americas and Oceania.
    Ioannidis et al
    Abstract
    The possibility of voyaging contact between prehistoric Polynesians and Native Americans has long intrigued researchers. Proponents have pointed to New World crops, such as the sweet potato and bottle gourd, found in the Polynesian archaeological record, but nowhere else outside the pre-Columbian Americas, while critics have argued that these botanical dispersals need not have been human mediated. The Norwegian explorer Thor Heyerdahl controversially suggested that prehistoric South Americans played an important role in the settlement of east Polynesia and particularly Easter Island (Rapa Nui). Several limited molecular genetic studies have reached opposing conclusions, and the possibility continues to be as hotly contested today as it was when first suggested. Here, for the first time, we analyze genome-wide variation in individuals from islands spanning Polynesia for signs of Native American admixture, analyzing over eight hundred individuals from seventeen island populations and fifteen Pacific coast Native American groups. We introduce new methods for localizing the origin of small ancestry components with only small sample sizes, having applications to personalized genomics, and we demonstrate the use of a technique for unraveling genetic bottlenecking and directionality for the first time in humans. Using these and traditional methods, we find conclusive evidence for prehistoric contact of Polynesians with Native Americans (ca. 1200 CE) contemporaneous with the stepwise settlement of these remote Oceanian islands. Our analyses suggest strongly that a single contact event occurred in eastern Polynesia, prior to the settlement of Easter Island (Rapa Nui), between Polynesians and a Native American group most closely related to the indigenous inhabitants of present-day Colombia.
    YFull: YF14620 (Dante Labs 2018)

  6. The Following 22 Users Say Thank You to pmokeefe For This Useful Post:

     Agamemnon (10-29-2020),  Andour (10-29-2020),  Angoliga (11-02-2020),  blackflash16 (10-29-2020),  Erikl86 (11-16-2020),  Grossvater (10-30-2020),  grumpydaddybear (10-30-2020),  hartaisarlag (10-30-2020),  J1 DYS388=13 (10-30-2020),  Jatt1 (11-03-2020),  Jokli (11-19-2020),  Lenny Nero (10-29-2020),  Mansamusa (10-30-2020),  Megalophias (10-29-2020),  Numidian (11-02-2020),  parasar (10-30-2020),  Piquerobi (11-02-2020),  RCO (10-29-2020),  Ryukendo (12-02-2020),  sheepslayer (10-29-2020),  Targum (11-18-2020),  ThaYamamoto (10-30-2020)

  7. #1374
    Registered Users
    Posts
    599
    Sex

    MtDNA and Y-DNA of Kyrgyz residing in the PRC

    Yuxin Guo, Zhiyu Xia, Wei Cui, Chong Chen, Xiaoye Jin, and Bofeng Zhu, "Joint Genetic Analyses of Mitochondrial and Y-Chromosome Molecular Markers for a Population from Northwest China." Genes 2020, 11, 564; doi:10.3390/genes11050564.

    Received: 6 March 2020; Accepted: 11 May 2020; Published: 18 May 2020

    Abstract: The genetic markers on mitochondria DNA (mtDNA) and Y-chromosome can be applied as
    a powerful tool in population genetics. We present a study to reveal the genetic background of Kyrgyz
    group, a Chinese ethnic group living in northwest China, and genetic polymorphisms of 60 loci on
    maternal inherited mtDNA and 24 loci on paternal inherited Y-chromosome short tandem repeats
    (Y-STRs) were investigated. The relationship between the two systems was tested, and the result
    indicated that they were statistically independent from each other. The genetic distances between
    Kyrgyz group and 11 reference populations for mtDNA, and 13 reference populations for Y-STRs were
    also calculated, respectively. The present results demonstrated that the Kyrgyz group was genetically
    closer to East Asian populations than European populations based on the mtDNA loci but the other
    way around for the Y-STRs. The genetic analyses could largely strengthen the understanding for the
    genetic background of the Kyrgyz group.

    Keywords: mtDNA; Y-STRs; independence test

  8. The Following 8 Users Say Thank You to Ebizur For This Useful Post:

     Grossvater (11-02-2020),  grumpydaddybear (11-02-2020),  Jatt1 (11-03-2020),  Marmaduke (11-02-2020),  parasar (11-02-2020),  pmokeefe (11-02-2020),  sheepslayer (11-02-2020),  Targum (11-18-2020)

  9. #1375
    Registered Users
    Posts
    1,465
    Sex
    Y-DNA (P)
    C-F5481
    mtDNA (M)
    M8a

    Kyrgyzstan
    https://www.nature.com/articles/s41431-020-00747-z

    Article
    Open Access
    Published: 02 November 2020

    Subdividing Y-chromosome haplogroup R1a1 reveals Norse Viking dispersal lineages in Britain

    Gurdeep Matharu Lall, Maarten H. D. Larmuseau, Jon H. Wetton, Chiara Batini, Pille Hallast, Tunde I. Huszar, Daniel Zadik, Sigurd Aase, Tina Baker, Patricia Balaresque, Walter Bodmer, Anders D. Børglum, Peter de Knijff, Hayley Dunn, Stephen E. Harding, Harald Løvvik, Berit Myhre Dupuy, Horolma Pamjav, Andreas O. Tillmar, Maciej Tomaszewski, Chris Tyler-Smith, Marta Pereira Verdugo, Bruce Winney, Pragya Vohra, Joanna Story, Turi E. King & Mark A. Jobling -Show fewer authors

    European Journal of Human Genetics (2020)Cite this article

    Metrics details

    Abstract

    The influence of Viking-Age migrants to the British Isles is obvious in archaeological and place-names evidence, but their demographic impact has been unclear. Autosomal genetic analyses support Norse Viking contributions to parts of Britain, but show no signal corresponding to the Danelaw, the region under Scandinavian administrative control from the ninth to eleventh centuries. Y-chromosome haplogroup R1a1 has been considered as a possible marker for Viking migrations because of its high frequency in peninsular Scandinavia (Norway and Sweden). Here we select ten Y-SNPs to discriminate informatively among hg R1a1 sub-haplogroups in Europe, analyse these in 619 hg R1a1 Y chromosomes including 163 from the British Isles, and also type 23 short-tandem repeats (Y-STRs) to assess internal diversity. We find three specifically Western-European sub-haplogroups, two of which predominate in Norway and Sweden, and are also found in Britain; star-like features in the STR networks of these lineages indicate histories of expansion. We ask whether geographical distributions of hg R1a1 overall, and of the two sub-lineages in particular, correlate with regions of Scandinavian influence within Britain. Neither shows any frequency difference between regions that have higher (≥10%) or lower autosomal contributions from Norway and Sweden, but both are significantly overrepresented in the region corresponding to the Danelaw. These differences between autosomal and Y-chromosomal histories suggest either male-specific contribution, or the influence of patrilocality. Comparison of modern DNA with recently available ancient DNA data supports the interpretation that two sub-lineages of hg R1a1 spread with the Vikings from peninsular Scandinavia.

  10. The Following 17 Users Say Thank You to rozenfeld For This Useful Post:

     Andour (11-02-2020),  deadly77 (11-03-2020),  Ebizur (11-03-2020),  grumpydaddybear (11-02-2020),  Jatt1 (11-03-2020),  Marmaduke (11-02-2020),  Megalophias (11-02-2020),  Mis (11-02-2020),  parasar (11-11-2020),  pmokeefe (11-02-2020),  RCO (11-03-2020),  rothaer (11-10-2020),  Ryukendo (12-02-2020),  Saetro (11-02-2020),  sheepslayer (11-02-2020),  tipirneni (11-21-2020),  Wing Genealogist (11-02-2020)

  11. #1376
    Registered Users
    Posts
    598
    Y-DNA (P)
    L1c
    mtDNA (M)
    L3b

    ZanzibarSultanate Iran Uganda India Yemen Kenya

    Positive selection in admixed populations from Ethiopia

    Positive selection in admixed populations from Ethiopia
    Sandra Walsh, Luca Pagani, Yali Xue, Hafid Laayouni, Chris Tyler-Smith & Jaume Bertranpetit

    Abstract

    In the process of adaptation of humans to their environment, positive or adaptive selection has played a main role. Positive selection has, however, been under-studied in African populations, despite their diversity and importance for understanding human history.

    Results
    Here, we have used 119 available whole-genome sequences from five Ethiopian populations (Amhara, Oromo, Somali, Wolayta and Gumuz) to investigate the modes and targets of positive selection in this part of the world. The site frequency spectrum-based test SFselect was applied to idfentify a wide range of events of selection (old and recent), and the haplotype-based statistic integrated haplotype score to detect more recent events, in each case with evaluation of the significance of candidate signals by extensive simulations. Additional insights were provided by considering admixture proportions and functional categories of genes. We identified both individual loci that are likely targets of classic sweeps and groups of genes that may have experienced polygenic adaptation. We found population-specific as well as shared signals of selection, with folate metabolism and the related ultraviolet response and skin pigmentation standing out as a shared pathway, perhaps as a response to the high levels of ultraviolet irradiation, and in addition strong signals in genes such as IFNA, MRC1, immunoglobulins and T-cell receptors which contribute to defend against pathogens.

    Conclusions
    Signals of positive selection were detected in Ethiopian populations revealing novel adaptations in East Africa, and abundant targets for functional follow-up.

  12. The Following 16 Users Say Thank You to ThaYamamoto For This Useful Post:

     Angoliga (11-03-2020),  blackflash16 (11-03-2020),  grumpydaddybear (11-05-2020),  Jokli (11-19-2020),  Lenny Nero (11-03-2020),  Mansamusa (11-04-2020),  Megalophias (11-03-2020),  Michalis Moriopoulos (11-11-2020),  Nebuchadnezzar II (11-03-2020),  Numidian (11-12-2020),  parasar (11-07-2020),  pmokeefe (11-03-2020),  RCO (11-03-2020),  Ryukendo (12-02-2020),  sheepslayer (11-03-2020),  Targum (11-18-2020)

  13. #1377
    Registered Users
    Posts
    598
    Y-DNA (P)
    L1c
    mtDNA (M)
    L3b

    ZanzibarSultanate Iran Uganda India Yemen Kenya

    Demographic history and admixture dynamics in African Sahelian populations [preprint]

    Demographic history and admixture dynamics in African Sahelian populations

    Viktor Černý, Cesar Fortes-Lima, Petr Tříska

    The Sahel/Savannah belt of Africa is a contact zone between two subsistence systems (nomadic pastoralism and sedentary farming) and of two groups of populations, namely Eurasians penetrating from northern Africa southwards and sub-Saharan Africans migrating northwards. Because pastoralism is characterised by a high degree of mobility, it leaves few significant archaeological traces. Demographic history seen through the lens of population genetic studies complements our historical and archaeological knowledge in this African region. In this review, we highlight recent advances in our understanding of demographic history in the Sahel/Savannah belt as revealed by genetic studies. We show the impact of food-producing subsistence strategies on population structure as well as the somewhat different migration patterns in the western and eastern part of the region. Genomic studies show that the gene pool of various groups of Sahelians consists in a complex mosaic of several ancestries. We also touch upon various signals of genetic adaptations such as lactase persistence, taste sensitivity, and malaria resistance, all of which have different distribution patterns among Sahelian populations. Overall, genetic studies contribute to gain a deeper understanding about the demographic and adaptive history of human populations in this specific African region and beyond.

  14. The Following 12 Users Say Thank You to ThaYamamoto For This Useful Post:

     Angoliga (11-11-2020),  beyoku (11-12-2020),  blackflash16 (11-11-2020),  grumpydaddybear (11-11-2020),  Lenny Nero (11-11-2020),  Mansamusa (11-11-2020),  Megalophias (11-11-2020),  Michalis Moriopoulos (11-11-2020),  Nebuchadnezzar II (11-16-2020),  Numidian (11-12-2020),  Riverman (11-13-2020),  sheepslayer (11-11-2020)

  15. #1378
    Gold Class Member
    Posts
    271
    Sex
    Nationality
    Finnish
    Y-DNA (P)
    R1b-Z142
    mtDNA (M)
    H10g

    Genomic insight into the population history of central Han Chinese

    ABSTRACT
    Background
    In recent decades, considerable attention has been paid to exploring the population genetic characteristics of Han Chinese, mainly documenting a north-south genetic substructure. However, the central Han Chinese have been largely underrepresented in previous studies.

    Aim
    To infer a comprehensive understanding of the homogenisation process and population history of Han Chinese.

    Subjects and methods
    We collected samples from 122 Han Chinese from seven counties of Hubei province in central China and genotyped 534,000 genome-wide SNPs. We compared Hubei Han with both ancient and present-day Eurasian populations using Principal Component Analysis, ADMIXTURE, f statistics, qpWave and qpAdm.

    Results
    We observed Hubei Han Chinese are at a genetically intermediate position on the north-south Han Chinese cline. We have not detected any significant genetic substructure in the studied groups from seven different counties. Hubei Han show significant evidence of genetic admixture deriving about 63% of ancestry from Tai-Kadai or Austronesian-speaking southern indigenous groups and 37% from Tungusic or Mongolic related northern populations.

    Conclusions
    The formation of Han Chinese has involved extensive admixture with Tai-Kadai or Austronesian-speaking populations in the south and Tungusic or Mongolic speaking populations in the north. The convenient transportation and central location of Hubei make it the key region for the homogenisation of Han Chinese.

    https://www.tandfonline.com/doi/full...eedAccess=true

  16. The Following 12 Users Say Thank You to teepean47 For This Useful Post:

     ADW_1981 (11-17-2020),  Agamemnon (11-17-2020),  Grossvater (11-16-2020),  grumpydaddybear (11-16-2020),  Jokli (11-19-2020),  Lenny Nero (11-16-2020),  Milkyway (11-16-2020),  pmokeefe (11-16-2020),  Riverman (11-16-2020),  sheepslayer (11-16-2020),  subzero85 (11-18-2020),  ThaYamamoto (11-17-2020)

  17. #1379
    Gold Class Member
    Posts
    271
    Sex
    Nationality
    Finnish
    Y-DNA (P)
    R1b-Z142
    mtDNA (M)
    H10g

    Double post

  18. #1380
    Registered Users
    Posts
    1,049
    Sex
    Location
    Brazil
    Ethnicity
    Rio de Janeiro Colonial
    Nationality
    Brazilian
    Y-DNA (P)
    J1a1 FGC6064+ M365+
    mtDNA (M)
    H1ao1

    Suebi Kingdom Portugal 1143 Portugal 1485 Portugal Order of Christ Brazilian Empire Brazil
    A Y-chromosomal survey of Ecuador’s multi-ethnic population reveals new insights into the tri-partite population structure and supports an early Holocene age of the rare Native American founder lineage C3-MPB373,
    Forensic Science International: Genetics (2020),
    Villaescusa P, Seidel M, Nothnagel M, Pinotti T, Gonzalez-Andrade F, Alvarez-Gila O, de Pancorbo MM, Roewer L,
    doi: https://doi.org/10.1016/j.fsigen.2020.102427

    Highlights
     A set of 527 Ecuadorian individuals from different ethnic groups was studied.
     C3-MPB373 is reported for the first time in Kichwas from Ecuadorian highlands.
     TMRCA estimations point to the origin of C3-MPB373 7.2-9.0 kya.
     C3-MPB373 expanded into South America 8.6-9 kya, in the early Holocene.
     Patrilocal marriage practices led to the partial genetic isolation of the Tsáchilas.
    Abstract
    Ecuador is a multiethnic and pluricultural country with a complex history defined by migration and admixture processes. The present study aims to increase our knowledge on the Ecuadorian Native Amerindian groups and the unique South American Y-chromosome haplogroup C3- MPB373 through the analysis of up to 23 Y-chromosome STRs (Y-STRs) and several Y-SNPs in a sample of 527 Ecuadorians from 7 distinct populations and geographic areas, including Kichwa and non-Kichwa Native Amerindians, Mestizos and Afro-Ecuadorians. Our results reveal the presence of C3-MPB373 both in the Amazonian lowland Kichwa with frequencies up to 28% and, for the first time, in notable proportions in Kichwa populations from the Ecuadorian highlands. The substantially higher frequencies of C3-MPB373 in the Amazonian lowlands found in Kichwa and Waorani individuals suggest a founder effect in that area. Notably, estimates for the time to the most recent common ancestor (TMRCA) in the range of 7.2 – 9.0 kya point to an ancient origin of the haplogroup and suggest an early Holocene expansion of C3-MPB373 into South America. Finally, the pairwise genetic distances (RST) separate the Kichwa Salasaka from all the other Native Amerindian and Ecuadorian groups, indicating a so far hidden diversity among the Kichwa-speaking populations and suggesting a more southern origin of this population. In sum, our study provides a more in-depth knowledge of the male genetic structure of the multiethnic Ecuadorian population, as well as a valuable reference dataset for forensic use.
    J1 FGC5987 to FGC6175 (188 new SNPs)
    MDKAs before Colonial Brazil
    Y-DNA - Milhazes, Barcelos, Minho, Portugal.
    mtDNA - Ilha Terceira, Azores, Portugal
    North_Swedish + PT + PT + PT @ 3.96 EUtest 4

  19. The Following 15 Users Say Thank You to RCO For This Useful Post:

     Angoliga (11-19-2020),  drobbah (11-18-2020),  Grossvater (11-18-2020),  grumpydaddybear (11-18-2020),  hartaisarlag (11-21-2020),  J1 DYS388=13 (11-18-2020),  JoeyP37 (11-27-2020),  Megalophias (11-20-2020),  Milkyway (11-18-2020),  parasar (11-18-2020),  pmokeefe (11-18-2020),  Riverman (11-18-2020),  siberoberingian (11-21-2020),  Targum (11-18-2020),  teepean47 (11-18-2020)

Page 138 of 139 FirstFirst ... 3888128136137138139 LastLast

Similar Threads

  1. Genetic Papers - Kurds
    By Kurd in forum Western
    Replies: 19
    Last Post: 09-19-2018, 05:33 AM
  2. Some Additional Papers on the Vikings
    By JMcB in forum I1-M253
    Replies: 3
    Last Post: 07-17-2016, 08:45 AM
  3. Replies: 4
    Last Post: 07-14-2016, 03:21 AM
  4. Papers on Z220
    By ADW_1981 in forum R1b-DF27
    Replies: 4
    Last Post: 06-05-2015, 06:00 PM

Posting Permissions

  • You may not post new threads
  • You may not post replies
  • You may not post attachments
  • You may not edit your posts
  •