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ДНК сучасних популяцій / ДНК современных популяций / DNA of modern populations

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ДНК сучасних популяцій / ДНК современных популяций / DNA of modern populations

Повідомлення kbg_dnepr » 07 березня 2021, 11:25

The paternal perspective of the Slovenian population and its relationship with other populations
Abstract
Background: The Slovenian territory is geographically positioned between the Alps, the AdriaticSea, the Pannonian basin and the Dinaric Mountains and, as such, has served as a passageway for different populations over different periods of time. Turbulent historic events and thediverse geography of the region have produced a diverse contemporary population whose genetic analysis could provide insight into past demographic events.
Aim: The aim of this study was to analyse Y-chromosome biallelic and STR markers in aSlovenian population from five different regions.
Subjects and methods: A total of 42 Y-chromosomal biallelic markers and 17 Y-STRs weregenotyped in 399 individuals from five different Slovenian regions.
Results: The analysis of Y-chromosome markers revealed 29 different haplogroups in theSlovenian population, with the most common being R1a1a, R1b, I2a1 and I1. Analysis of thegenetic affiliations between different populations revealed strong affiliations of the Sloveniangene pool with West Slavic populations.
Conclusion: Analysis of Y-chromosomal markers in five Slovenian regions revealed a diversegenetic landscape. Slovenian population display close genetic affiliations with West Slavicpopulations. The homogenous genetic strata of the West Slavic populations and the Slovenianpopulation suggest the existence of a common ancestral Slavic population in centralEuropean region
https://www.academia.edu/15438390/The_paternal_perspective_of_the_Slovenian_population_and_its_relationship_with_other_populations?email_work_card=view-paper
Востаннє редагувалось kbg_dnepr в 20 липня 2021, 08:49, всього редагувалось 1 раз.
Катерина
Глушак (Брянськ.) Ковальов Федосенко mt H5a (Могилевськ.)
Оглотков I2a2b (Горбат. п. НГГ) Алькін Душин Жарков Кульдішов mt U5a1 Баландін (Симб. губ.)
Клишкін R1a1a Власенко Сакунов Кучерявенко (Глухів)
Кириченко Бондаренко Білоус Страшний mt T2a1 (Новомоск. Дніпроп.)
#генеалогия #генеалогія #пошукпредків #поискпредков #ahnenforschung #ukrainianancestry #родовід #родословная

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Re: ДНК сучасних популяцій / ДНК современных популяций / DNA of modern populations

Повідомлення kbg_dnepr » 05 липня 2021, 08:39

Y-chromosomal diversity of the Valachs from the Czech Republic: model for isolated population in Central Europe 2011
Vaclav Vancata

The Moravian Valachs showed a lower genetic variability of Y-STR markers than other Central European populations, resembling more to the isolated Balkan populations (Aromuns, Csango, Bulgarian, and Macedonian Roma) than the surrounding populations (Czechs, Slovaks, Poles, Saxons). We illustrated the effect of sampling on Valach paternal lineages, which includes reduction of discrimination capacity and variability inside Y-chromosomal haplogroups. Valach modal haplotype belongs to R1a haplogroup and it was not detected in the Czech population.
Conclusion
The Moravian Valachs display strong substruc-ture and isolation in their Y chromosomal markers. Theyrepresent a unique Central European population modelfor population genetics.

https://www.academia.edu/36926687/Y_chromosomal_diversity_of_the_Valachs_from_the_Czech_Republic_model_for_isolated_population_in_Central_Europe?email_work_card=view-paper
Катерина
Глушак (Брянськ.) Ковальов Федосенко mt H5a (Могилевськ.)
Оглотков I2a2b (Горбат. п. НГГ) Алькін Душин Жарков Кульдішов mt U5a1 Баландін (Симб. губ.)
Клишкін R1a1a Власенко Сакунов Кучерявенко (Глухів)
Кириченко Бондаренко Білоус Страшний mt T2a1 (Новомоск. Дніпроп.)
#генеалогия #генеалогія #пошукпредків #поискпредков #ahnenforschung #ukrainianancestry #родовід #родословная

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Re: ДНК сучасних популяцій / ДНК современных популяций / DNA of modern populations

Повідомлення kbg_dnepr » 10 липня 2021, 20:45

A genetic analysis of the people currently inhabiting the country of Bulgaria
Mariana M Yaneva

Being located on the Balkan peninsula, Bulgaria has been at the crossroads of peoples migrating from the Middle East to Europe and from the steppes of Western Eurasia to the Aegean islands, as well as the expeditions of European Crusaders to Jerusalem. Recent reports on the genetic background of modern Bulgarians have revealed new clues and insights into their ancestry. Both mitochondrial DNA (mtDNA) and Y chromosomes have been analyzed by cutting-edge technologies, such as high-resolution genotyping of biallelic markers, RFLP, and DNA sequencing, as well as statistical analyses (principal component analysis or PCA, and GLOBETROTTER method) of significant numbers of female and male individuals. Autosomal DNA (SNPs) was also analyzed using more than 270,000 markers for SNPs.The results from the mtDNA analyses has clearly shown that the female population can be placed in an intermediate position between Eastern Europeans and Mediterranean populations indicating a strong presence of the DNA of the indigenous people that initially populated the Balkans, most likely the ancient Thracians. Results from the Y chromosome gene pool analyses, that also included STR variation analysis within the most informative haplogroups, revealed that modern male Bulgarians have Western Eurasian haplogroups: about 40% belonged to E-V13 and I-M423 haplogroups, and 20% to R-M17. Haplogroups common in the Middle East (J and G) and in South Western Asia (R-L23*) were observed in only 19% and 5%, respectively. The only two late Bronze and Iron Age Thracian individuals (bones) analyzed thus far, belonged to N1a and G2a haplogroups typical of the early European farmers. Statistical analyses place the Bulgarians with the European population, separate from Central Asian Turkic-speaking and South Western Asian populations. Despite the presence of the Ottomans in Bulgaria for five centuries, DNA from Central AsianTurkish-speaking people was detected in only about 1.5% of the individuals. Also, the presenceof Slavs on the territory of Bulgaria have only made a small contribution to the DNA of modern Bulgarians. When all published Bulgarian genotypes from the FamilyTreeDNA (NationalGeographic Human Migration project) were included in such analyses, the results did not change significantly. Statistical (PCA) analysis confirmed that the Bulgarians segregated mostly with the Greek, and some Southern Slavic populations but remained separate from the Slavic populations of North-Central and North-Eastern Europe. In a broader context, the Bulgarian haplogroup profile is located among European populations; it is separate from the Altaic and Central Asian Turkic-speaking peoples.

In conclusion, the DNA analyses of modern Bulgarians clearly indicate that they originated from the oldest indigenous people present in the area now classed as Bulgaria since the post glacial period and those first farmers who migrated westward to Europe from the fertile crescent during the early Neolithic era. The genetic contribution of the proto-Bulgarians who arrived later, after 5th century AD, in the area now considered as Bulgaria is very limited suggesting that common ancestry with the proto-Bulgarians was negligible. For the last few centuries, the modernBulgarians were told that they live in the Slavic-Bulgarian State, but the present genetic analyses show that the Slavic DNA is barely 15%, the DNA of the ancient Bulgarians is still unknown but it is not expected to be more than 10% at best, and only a few percent of Turkish DNA were found so far. The Northwestern Europeans (the Vikings) crossing this country around 10th century had also a contribution to the genetic identity of this population called Bulgarians. This is a perfect example of how new genetic methods can be used to re-evaluate traditional beliefs about the origin of current populations.

https://www.academia.edu/36181258/A_genetic_analysis_of_the_people_currently_inhabiting_the_country_of_Bulgaria?email_work_card=view-paper
Катерина
Глушак (Брянськ.) Ковальов Федосенко mt H5a (Могилевськ.)
Оглотков I2a2b (Горбат. п. НГГ) Алькін Душин Жарков Кульдішов mt U5a1 Баландін (Симб. губ.)
Клишкін R1a1a Власенко Сакунов Кучерявенко (Глухів)
Кириченко Бондаренко Білоус Страшний mt T2a1 (Новомоск. Дніпроп.)
#генеалогия #генеалогія #пошукпредків #поискпредков #ahnenforschung #ukrainianancestry #родовід #родословная

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Re: ДНК сучасних популяцій / ДНК современных популяций / DNA of modern populations

Повідомлення kbg_dnepr » 11 липня 2021, 08:41

Population Structure in Contemporary Sweden - A Y-Chromosomal and Mitochondrial DNA Analysis 2009
Ulf Hannelius

A population sample representing the current Swedish population was analysed for maternally and paternally inherited markers with the aim of characterizing genetic variation and population structure. The sample set of 820 females and 883 males were extracted and amplified from Guthrie cards of all the children born in Sweden during one week in 2003. 14 Y-chromosomal and 34 mitochondrial DNA SNPs were genotyped. The haplogroup frequencies of the counties closest to Finland, Norway, Denmark and the Saami region in the north exhibited similarities to the neighbouring populations, resulting from the formation of the Swedish nation during the past millennium. Moreover, the recent immigration waves of the 20th century are visible in haplogroup frequencies, and have led to increased diversity and divergence of the major cities. Signs of genetic drift can be detected in several counties in northern as well as in southern Sweden. With the exception of the most drifted subpopulations, the population structure in Sweden appears mostly clinal. In conclusion, our study yielded valuable information of the structure of the Swedish population, and demonstrated the usefulness of biobanks as a source of population genetic research. Our sampling strategy, nonselective on the current population rather than stratified according to ancestry, is informative for capturing the contemporary variation in the increasingly panmictic populations of the world.

Mitochondrial DNA Data
A total of 1703 samples (80%) were successful in the mtDNAgenotyping for the 34 markers, equally from all parts of the country (Supporting Table 1). Five haplogroup frequencies (Table 2) had a statistically significant correlation with latitude:
U5b (r=0.69, pn < 0.0001, pc= 0.0069),
I (r =0.49, pn = 0.019, pc = 0.40),
U∗ (xU2–7,K) (r = 0.44, pn= 0.035, pc = 0.58), and
U5a (r = 0.44, pn = 0.036, pc= 0.61)
were more abundant in the north, and X had a higher frequency in the south (r = −0.42, pn = 0.043, pc= 0.72). Even though only one of the corrected p-values was below 0.05, the empirical probability of obtaining five r’s of this magnitude by chance was only 0.0065. The 95% confidence intervals of the frequencies of these haplogroups are shown in Supporting Figure 1. None of the haplogroups had a statistically significant correlation with the proportionof immigrants, although H6 and L∗ (xM,N) were nominally significant. Genetic diversity measured as the mean number of pair-wise differences (π) was 3.27 for the whole country with subpopulation values ranging from 2.75 to 3.59, being usually lower in Götaland (Table 2). In the principal componentanalysis of the Swedish subpopulations alone (Fig. 3a, Fig.4a, Supporting Figure 2a), the second component showed astatistically significant correlation with latitude (r = −0.50, pn = 0.020) mostly due to the contribution of haplogroup HV∗ (xH1,2,3,V), and PC3 was correlated with the proportion of immigrants (r =−0.45, pn =0.039). The SAMOVA analysis supported the PCA, separating individual populations from the main group (data not shown), with the proportionof variance explained by these groupings being below 2%.
In PCA with the other populations from the Baltic Sea region (Fig. 3b, Fig. 4b, Supporting Figure 2b), the Swedish populations, including the sample of Swedes without recent immigration in their familial background (Lappalainen et al. 2008) cluster close to Karelia and the Baltic states. According to the AMOVA analysis, the grouping of counties to the regions of Norrland, Svealand and Götaland accounted for a small but statistically significant proportion of the variance (0.32%, p= 0.0020). A Mantel test revealed a significant correlationcoefficient, r =0.28 (p=
0.019), between geographical and genetic distances of all counties. We investigated the contribution of genetic drift and immigration in the distribution of variation in the country in more detail; we performed the Mantel test also without the four counties with π < 3 to exclude those most affected by drift, and without Stockholm, Malmö and Gothenburg which have large immigrant populations. Neither of these had a major effect on the Mantel test statistic (r = 0.27, p = 0.037 and r = 0.34, p = 0.008, respectively). The spatial autocorrelation analysis (Fig. 5) based on the birth hospital rather than county level information yielded a statistically significant correlogram (p < 0.01) both for the total mtDNA data and also without the counties of the lowest diversities. We observed 98 mtDNA haplotypes that had coding region genotypes characteristic for more than one haplogroup (Supporting Table 2). Analysing 4637 previously published mtDNA genomes revealed that 74 of these haplotypes have been observed before, and novel haplotypes had in almostall cases arisen from markers where recurrent mutation has been observed in earlier studies. There were an additional 25 haplotypes with recurrent mutations in the HVS. There were no discrepancies between the results from Sequenom and there-genotyping by RFLP assays.
Y-chromosomal Data
A total of 883 samples, 41% of the samples of unknown gender, were successful in the Y-chromosomal genotyping for the 14 SNPs (Supporting Table 1). The haplogroup frequencies are given in Table 3. Four haplogroups had a positive correlation with the proportion of immigrants: I1b (r =0.67, pn =0.003, pc =0.072), R1b (r =0.63, pn =0.006, pc =0.14), F∗ (r = 0.56, pn = 0.017, pc =
0.26), and K∗ (r = 0.54, pn = 0.039, pc = 0.32), whereas for [b]I1a[/b] the correlation was strongly negative (r =−0.79, pn
=0.0003, pc=0.011). The empirical probability of obtaining these five r ’s by chance was <0.0001. Furthermore, R1a1 had high frequencies in some western counties, and N3 was common in the eastern parts of northern and central Sweden. The confidence intervals for the above mentioned haplogroup frequencies are shown in Supporting Figure 3. None of the haplogroups showed a statistically significant north-south cline, although for I1c and R1b the correlation was nominally significant. The mean number of pairwise differences (π
) of the total Y-chromosomal data set was 2.70, with the lowest valuein Västra Götaland and the highest in Halland (Table 3). In the principal component analysis of the Swedes (Fig. 3c,Fig. 4c, Supporting Figure 2c), the first PC had a strong correlation with the proportion of immigrants (r = −0.80, pn = 0.0001) mostly due to frequency variation of I1a, also observed in the correlation analysis of haplogroup frequencies. Haplogroup R1a1 contributed most to the divergence of four western and southern populations in PC2. The SAMOVA results supported the separation of the populations most diverged in the PCA (data not shown).
The neighboring populations showed a clear difference from the Swedes in PCA (Fig. 3d, Fig. 4d, Supporting Figure 2d) mostly due to the lower frequency of N3 among the Swedes. The AMOVA analysis did not support the grouping to Norrland, Svealand and Götaland (−0.19% of variation, p = 0.68), and even the proportion of variance among the subpopulations in one group was nonsignificant (0.46%, p=0.13). No correlation between geographic and genetic distances was observed in the Mantel test of all populations (r = −0.06, p = 0.622). While exclusion of the three largest cities had little effect in the Mantel test (r = −0.15, p = 0.86), removing four populations with most signs of genetic drift measured by mean number of pairwise differences (π < 2.60) increased the correlation to 0.38 (p = 0.011). This pattern was supported by the autocorrelation analysis, where this subset of populations yielded a statistically significant (p < 0.05) correlogram (Fig. 5), while the total dataset had no pattern of isolation by distance.

https://www.academia.edu/6320476/Population_Structure_in_Contemporary_Sweden_A_Y_Chromosomal_and_Mitochondrial_DNA_Analysis?email_work_card=view-paper
Катерина
Глушак (Брянськ.) Ковальов Федосенко mt H5a (Могилевськ.)
Оглотков I2a2b (Горбат. п. НГГ) Алькін Душин Жарков Кульдішов mt U5a1 Баландін (Симб. губ.)
Клишкін R1a1a Власенко Сакунов Кучерявенко (Глухів)
Кириченко Бондаренко Білоус Страшний mt T2a1 (Новомоск. Дніпроп.)
#генеалогия #генеалогія #пошукпредків #поискпредков #ahnenforschung #ukrainianancestry #родовід #родословная

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Re: ДНК сучасних популяцій / ДНК современных популяций / DNA of modern populations

Повідомлення kbg_dnepr » 20 липня 2021, 09:10

Публікація 2005 р.

Філогенетичний аналіз Y-хромосомного складу південно-східної Європи

High-Resolution Phylogenetic Analysis of Southeastern Europe Traces Major Episodes of Paternal Gene Flow Among Slavic Populations

The extent and nature of southeastern Europe (SEE) paternal genetic contribution to the European genetic landscape were explored based on a high-resolution Y chromosome analysis involving 681 males from seven populations in the region. Paternal lineages present in SEE were compared with previously published data from 81 western Eurasian populations and 5,017 Y chromosome samples. The finding that five major haplogroups (E3b1, I1b* (xM26), J2, R1a, and R1b) comprise more than 70% of SEE total genetic variation is consistent with the typical European Y chromosome gene pool. However, distribution of major Y chromosomal lineages and estimated expansion signals clarify the specific role of this region in structuring of European, and particularly Slavic, paternal genetic heritage. Contemporary Slavic paternal gene pool, mostly characterized by the predominance of R1a and I1b*(xM26) and scarcity of E3b1 lineages, is a result of two major prehistoric gene flows with opposite directions: the post-Last Glacial Maximum R1a expansion from east to west, the Younger Dryas-Holocene I1b* (xM26) diffusion out of SEE in addition to subsequent R1a and I1b* (xM26) putative gene flows between eastern Europe and SEE, and a rather weak extent of E3b1 diffusion toward regions nowadays occupied by Slavic-speaking populations.

https://www.academia.edu/28689391/High_Resolution_Phylogenetic_Analysis_of_Southeastern_Europe_Traces_Major_Episodes_of_Paternal_Gene_Flow_Among_Slavic_Populations?email_work_card=view-paper
Катерина
Глушак (Брянськ.) Ковальов Федосенко mt H5a (Могилевськ.)
Оглотков I2a2b (Горбат. п. НГГ) Алькін Душин Жарков Кульдішов mt U5a1 Баландін (Симб. губ.)
Клишкін R1a1a Власенко Сакунов Кучерявенко (Глухів)
Кириченко Бондаренко Білоус Страшний mt T2a1 (Новомоск. Дніпроп.)
#генеалогия #генеалогія #пошукпредків #поискпредков #ahnenforschung #ukrainianancestry #родовід #родословная

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