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European Population Genetic Substructure: Further Definition of Ancestry Informative Markers for Distinguishing among Diverse European Ethnic Groups

Overview of attention for article published in Molecular Medicine, August 2009
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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 (#50 of 1,212)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

twitter
19 X users
wikipedia
9 Wikipedia pages
q&a
1 Q&A thread
video
1 YouTube creator

Citations

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76 Dimensions

Readers on

mendeley
87 Mendeley
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2 CiteULike
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Title
European Population Genetic Substructure: Further Definition of Ancestry Informative Markers for Distinguishing among Diverse European Ethnic Groups
Published in
Molecular Medicine, August 2009
DOI 10.2119/molmed.2009.00094
Pubmed ID
Authors

Chao Tian, Roman Kosoy, Rami Nassir, Annette Lee, Pablo Villoslada, Lars Klareskog, Lennart Hammarström, Henri-Jean Garchon, Ann E. Pulver, Michael Ransom, Peter K. Gregersen, Michael F. Seldin

Abstract

The definition of European population genetic substructure and its application to understanding complex phenotypes is becoming increasingly important. 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 identify sets of SNP ancestry informative markers (AIMs) for application in genetic studies. In general, the graphical description of these principal components analyses (PCA) of diverse European subjects showed a strong correspondence to the geographical relationships of specific countries or regions of origin. Clearer separation of different ethnic and regional populations was observed when northern and southern European groups were considered separately and the PCA results were influenced by the inclusion or exclusion of different self-identified population groups including Ashkenazi Jewish, Sardinian, and Orcadian ethnic groups. SNP AIM sets were identified that could distinguish the regional and ethnic population groups. Moreover, the studies demonstrated that most allele frequency differences between different European groups could be controlled effectively in analyses using these AIM sets. The European substructure AIMs should be widely applicable to ongoing studies to confirm and delineate specific disease susceptibility candidate regions without the necessity of performing additional genome-wide SNP studies in additional subject sets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 3%
United States 2 2%
Germany 1 1%
France 1 1%
Switzerland 1 1%
Spain 1 1%
United Kingdom 1 1%
Unknown 77 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 22%
Student > Ph. D. Student 18 21%
Student > Bachelor 8 9%
Student > Master 6 7%
Other 6 7%
Other 22 25%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 43%
Biochemistry, Genetics and Molecular Biology 15 17%
Medicine and Dentistry 11 13%
Computer Science 3 3%
Mathematics 2 2%
Other 7 8%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 29 February 2024.
All research outputs
#1,875,196
of 25,784,004 outputs
Outputs from Molecular Medicine
#50
of 1,212 outputs
Outputs of similar age
#5,550
of 101,995 outputs
Outputs of similar age from Molecular Medicine
#1
of 4 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,212 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 95% 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 101,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them