Showing posts with label Sweden. Show all posts
Showing posts with label Sweden. Show all posts
Swedish population structure
Via Dienekes, The Genetic Structure of the Swedish Population:
An analysis of genetic differentiation (based on pairwise Fst) indicated that the population of Sweden's southernmost counties are genetically closer to the HapMap CEU samples of Northern European ancestry than to the populations of Sweden's northernmost counties. [. . .] We have shown that genetic differences within a single country may be substantial, even when viewed on a European scale.The paper is in PLoS ONE (i.e., it's open access). More:
Fine-scale genetic substructure in Finland and Sweden
Compared to the recent Europe-wide genetic structure paper, this paper contains more (and better-characterized with respect to geography) samples from Finland and Sweden, but typed at fewer loci. The authors detect an east-west duality in Finland. They fail to detect substructure within Sweden, though poorer-quality data or the presence of non-European immigrants in their Swedish sample may be confusing the issue. Nonetheless:
Geneland is an algorithm which "in contrast with Structure, assumes that population membership is structured across space":
The principal component analysis clearly separated the Finnish regions and Eastern and Western counties from the Swedish as well as the Finnish regions and counties from each other (Figure 2C and 2D). Geneland showed three clusters (Figure 3B), roughly corresponding to Sweden, Eastern Finland and Western Finland. Thus, Geneland was able to correctly identify the country of origin of the individuals despite the lower quality of the Swedish data. Interestingly, the county-level PCA (Figure 2D) and Geneland (Figure 3B) placed the Finnish subpopulation of Swedish-speaking Ostrobothnia closest to Sweden. This minority population originates from the 13th century, when Swedish settlers inhabited areas of coastal Finland [34]. Our result is in congruence with earlier studies where intermediate allele frequencies between Finns and Swedes have been observed in the Swedish speaking Finns [35].
If this assumption is correct, the power of inferring clusters increases; if the assumption is incorrect, it will lead to a loss of power but generally not to inference of spurious clusters (in the case of weak spatial organization, Geneland tends to perform like Structure in terms of inferred clusters [27]). Besides, in previous studies with similar goals it has been estimated that Structure needs a minimum of 65 to 100 random markers to separate continental groups and that the number of markers rather than samples is the most important parameter determining statistical power [13, 37]. The differences between and within the neighbouring countries studied here are presumably smaller than those between continents and not large enough to be detected by Structure.The abstract:
The detection of three clusters by Geneland versus one single cluster by Structure can thus be interpreted as an example of increased power in spatially structured populations.
[. . .]
Our results from the Geneland algorithm demonstrate the benefit of including spatial information in clustering individuals according to their genetic similarity, particularly at low levels of differentiation. Although Geneland has successfully clustered individuals into groups with low or moderate FST in ecological studies [44-46], to the best of our knowledge, this is the first time the algorithm has been used for human or SNP data.
Population substructure in Finland and Sweden revealed by the use of spatial coordinates and a small number of unlinked autosomal SNPs
Ulf Hannelius, Elina Salmela, Tuuli Lappalainen, Gilles Guillot, Cecilia M Lindgren, Ulrika von Dobeln, Paivi Lahermo and Juha Kere
BMC Genetics 2008, 9:54doi:10.1186/1471-2156-9-54
Published: 19 August 2008
Abstract (provisional)
Background
Despite several thousands of years of close contacts, there are genetic differences between the neighbouring countries of Finland and Sweden. Within Finland, signs of an east-west duality have been observed, whereas the population structure within Sweden has been suggested to be more subtle. With a fine-scale substructure like this, inferring the cluster membership of individuals requires a large number of markers. However, some studies have suggested that this number could be reduced if the individual spatial coordinates are taken into account in the analysis.
Results
We genotyped 34 unlinked autosomal single nucleotide polymorphisms (SNPs), originally designed for zygosity testing, from 2044 samples from Sweden and 657 samples from Finland, and 30 short tandem repeats (STRs) from 465 Finnish samples. We saw significant population structure within Finland but not between the countries or within Sweden, and isolation by distance within Finland and between the countries. In Sweden, we found a deficit of heterozygotes that we could explain by simulation studies to be due to both a small non-random genotyping error and hidden substructure caused by immigration. Geneland, a model-based Bayesian clustering algorithm, clustered the individuals into groups that corresponded to Sweden and Eastern and Western Finland when spatial coordinates were used, whereas in the absence of spatial information, only one cluster was inferred.
Conclusions
We show that the power to cluster individuals based on their genetic similarity is increased when including information about the spatial coordinates. We also demonstrate the importance of estimating the size and effect of genotyping error in population genetics in order to strengthen the validity of the results.
Ancient DNA analysis of Neolithic Swedes (Funnel Beaker and Pitted Ware)
Migration in Prehistory : DNA and stable isotope analyses of Swedish skeletal material. Linderholm, Anna, Stockholm University, Faculty of Humanities, Department of Archaeology and Classical Studies.
ABSTRACT: The main aim of this thesis is to show how scientific methods may be used to look at migration in prehistory on the basis of archaeological material. The individuals examined represent the period 4 000 BC to 1 000 AD and have their geographical origins in various parts of Sweden.
Ancient DNA analysis is employed in three cases. The first is an investigation of the genetic profiles of the two main cultural groups, which existed in Sweden during the Neolithic, the Funnel Beaker (TRB) and Pitted Ware (PWC) cultures. We can deduce from these genetic data that they were two separate populations, and can see that the TRB genetic profiles continue into the Bronze Age whereas the PWC profiles seem to disappear. In a second analysis based on the same material we explore the ability of adults to digest milk, i.e. lactose tolerance, a genetic trait found in high frequencies in northern Europe. We can see that the TRB population had a higher frequency of this allele than the PWC population. The last paper based on aDNA analysis tackles a very important topic, that of contamination, which has to be understood and recognised, as it is fundamental to such analyses.
Stable isotope analysis lies behind the remaining papers, in three of which sulphur isotope analysis is used on skeletal material from Rössberga, Birka and Björned. The individuals buried at Rössberga appear to have been of local origin, in contrast to those buried at Birka and Björned. At Birka separate geographical origins can be deduced for individuals buried in different cemeteries or having different occupations. Whereas the people buried at Björned seem to have come there from different regions in order to establish a Christian colony. In the study on Öland, were the stable isotopes δ13C and δ15N were analysed in order to identify diet and the dietary shift connected with the Neolithic transition, this transition was found at the end of the Neolithic rather than at the beginning as previously hypothesised.
(Via GENEALOGY-DNA)
ABSTRACT: The main aim of this thesis is to show how scientific methods may be used to look at migration in prehistory on the basis of archaeological material. The individuals examined represent the period 4 000 BC to 1 000 AD and have their geographical origins in various parts of Sweden.
Ancient DNA analysis is employed in three cases. The first is an investigation of the genetic profiles of the two main cultural groups, which existed in Sweden during the Neolithic, the Funnel Beaker (TRB) and Pitted Ware (PWC) cultures. We can deduce from these genetic data that they were two separate populations, and can see that the TRB genetic profiles continue into the Bronze Age whereas the PWC profiles seem to disappear. In a second analysis based on the same material we explore the ability of adults to digest milk, i.e. lactose tolerance, a genetic trait found in high frequencies in northern Europe. We can see that the TRB population had a higher frequency of this allele than the PWC population. The last paper based on aDNA analysis tackles a very important topic, that of contamination, which has to be understood and recognised, as it is fundamental to such analyses.
Stable isotope analysis lies behind the remaining papers, in three of which sulphur isotope analysis is used on skeletal material from Rössberga, Birka and Björned. The individuals buried at Rössberga appear to have been of local origin, in contrast to those buried at Birka and Björned. At Birka separate geographical origins can be deduced for individuals buried in different cemeteries or having different occupations. Whereas the people buried at Björned seem to have come there from different regions in order to establish a Christian colony. In the study on Öland, were the stable isotopes δ13C and δ15N were analysed in order to identify diet and the dietary shift connected with the Neolithic transition, this transition was found at the end of the Neolithic rather than at the beginning as previously hypothesised.
(Via GENEALOGY-DNA)
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