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Genetic Differences between Five European Populations

Overview of attention for article published in Human Heredity, July 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 449)
  • High Attention Score compared to outputs of the same age (88th percentile)

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1 blog
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Citations

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31 Dimensions

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50 Mendeley
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Title
Genetic Differences between Five European Populations
Published in
Human Heredity, July 2010
DOI 10.1159/000313854
Pubmed ID
Authors

Valentina Moskvina, Michael Smith, Dobril Ivanov, Douglas Blackwood, David StClair, Christina Hultman, Draga Toncheva, Michael Gill, Aiden Corvin, Colm O’Dushlaine, Derek W. Morris, Naomi R. Wray, Patrick Sullivan, Carlos Pato, Michele T. Pato, Pamela Sklar, Shaun Purcell, Peter Holmans, Michael C. O’Donovan, Michael J. Owen, George Kirov

Abstract

Aims: We sought to examine the magnitude of the differences in SNP allele frequencies between five European populations (Scotland, Ireland, Sweden, Bulgaria and Portugal) and to identify the loci with the greatest differences. Methods: We performed a population-based genome-wide association analysis with Affymetrix 6.0 and 5.0 arrays. We used a 4 degrees of freedom chi(2) test to determine the magnitude of stratification for each SNP. We then examined the genes within the most stratified regions, using a highly conservative cutoff of p < 10(-45). Results: We found 40,593 SNPs which are genome-wide significantly (p </= 10(-8)) stratified between these populations. The largest differences clustered in gene ontology categories for immunity and pigmentation. Some of the top loci span genes that have already been reported as highly stratified: genes for hair color and pigmentation (HERC2, EXOC2, IRF4), the LCT gene, genes involved in NAD metabolism, and in immunity (HLA and the Toll-like receptor genes TLR10, TLR1, TLR6). However, several genes have not previously been reported as stratified within European populations, indicating that they might also have provided selective advantages: several zinc finger genes, two genes involved in glutathione synthesis or function, and most intriguingly, FOXP2, implicated in speech development. Conclusion: Our analysis demonstrates that many SNPs show genome-wide significant differences within European populations and the magnitude of the differences correlate with the geographical distance. At least some of these differences are due to the selective advantage of polymorphisms within these loci.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
United Kingdom 1 2%
Brazil 1 2%
Unknown 45 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Ph. D. Student 8 16%
Student > Master 6 12%
Student > Bachelor 5 10%
Professor 4 8%
Other 5 10%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 42%
Biochemistry, Genetics and Molecular Biology 6 12%
Medicine and Dentistry 5 10%
Psychology 2 4%
Business, Management and Accounting 1 2%
Other 1 2%
Unknown 14 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2023.
All research outputs
#3,134,356
of 25,378,284 outputs
Outputs from Human Heredity
#16
of 449 outputs
Outputs of similar age
#12,053
of 104,470 outputs
Outputs of similar age from Human Heredity
#2
of 2 outputs
Altmetric has tracked 25,378,284 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 449 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 104,470 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.