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European Population Genetic Substructure based on SNPs; Austria Bulgaria Czech Republic Estonia Finland Finland France Northern Germany Southern Germany Hungary Northern Italy Southern Italy Latvia Lithuania Poland Russia Spain Sweden Switzerland CEU Austria 1.14 1.08 1.58 2.24 3.30 1.16 1.10 1.04 1.04 1.49 1.79 1.85 1.70 1.19 1.47 1.41
Jun 6, 2024 · The numbers presented in the 2024 edition identify the main trends of the past year through data, and reflect the disruptions due to Russia's invasion of Ukraine, the consequences of the energy crises, record inflation and a slump in steel demand while imports remained at historical high levels.
Mar 27, 2024 · Here is a compilation of a few of the grand European megastructures dating back to the Stone Age that we know of today. 1. Stonehenge. (Credit: Joshua Rapp Learn) Perhaps the best known on this list, Stonehenge’s early stage dates back to about 3000 B.C.E.
- Joshua Rapp Learn
- Population Differentiation Among European Populations
- Principal Components Analyses Using >250,000 SNPs
- PCA of Northern and Southern European Population Groups
- PCA of European and South Asian Population Groups
- Identification and Testing of European Substructure Ancestry Informative Markers
- Performance of Esaims in Controlling For Population Substructure
To examine similarities and differences in population differentiation among European and closely related populations, paired Fst values were determined between 18 population groups that were typed with genome-wide SNP arrays (see Materials and Methods). The studies included genotypes derived from HGDP (14), and samples collected in Europe and Europ...
To further explore the relationship among European population groups and examine population substructure, PCA was performed using the genotype results from a set of ~300,000 autosomal SNPs that was common to each of the populations examined. For most individuals with self-reported ethnic identities there was a general correspondence with the geogra...
Our previous studies showed that further elucidation of the relationships among Northern European individuals was possible when analyses were performed excluding subjects of southern European origin. For the current study, we next examined Northern and Southern population groups separately and the effect of including or excluding different ethnic g...
To further explore the relationship of population groups in Europe, we also performed PCA including the HGDP South Asian groups, Burusho, and Balochi. These South Asian population groups showed relatively small population differentiation with continental European subjects (14,17,26,27). Thus inclusion of these populations might further suggest clin...
AIMs that discern population substructure are likely to be useful in candidate gene, chromosomal position-based association studies, and defining homogeneous subject sets (28). Our previous studies identified two sets of European substructure AIMs (ESAIMs): ns-ESAIMs and north-ESAIMs. The ns-ESAIMs separated European populations on a single axis (n...
To further assess the potential value and performance of ESAIMs we examined SNPs with large (10% to 25%) allele frequency differences between different European subgroups. The different subgroups were selected based on PCA results and included both individuals with self-identified ethnic affiliation and those without known self-identity information...
- Chao Tian, Roman Kosoy, Rami Nassir, Annette Lee, Pablo Villoslada, Lars Klareskog, Lennart Hammarst...
- 2009
Feb 8, 2023 · As of 2020, there were 4,681 such substructures for grid-connected turbines. By comparison, there are only six floating spar buoy substructures currently in use. Read more. Number of...
Sep 1, 2009 · In the current study using over 4,000 subjects genotyped for 300,000 single-nucleotide polymorphisms (SNPs), we provide further insight into relationships among European population groups and...
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Oct 1, 2022 · A Multi-Criterion Decision Making approach for substructure selection is proposed. The current installed offshore wind capacity could be increased by a factor of 615. Floating offshore wind could cover 61.55% percent of the exploitable area.
