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Genetic Population Structure Analysis in New Hampshire Reveals Eastern European Ancestry

Overview of attention for article published in PLOS ONE, September 2009
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 blog
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30 Mendeley
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Title
Genetic Population Structure Analysis in New Hampshire Reveals Eastern European Ancestry
Published in
PLOS ONE, September 2009
DOI 10.1371/journal.pone.0006928
Pubmed ID
Authors

Chantel D. Sloan, Angeline D. Andrew, Eric J. Duell, Scott M. Williams, Margaret R. Karagas, Jason H. Moore

Abstract

Genetic structure due to ancestry has been well documented among many divergent human populations. However, the ability to associate ancestry with genetic substructure without using supervised clustering has not been explored in more presumably homogeneous and admixed US populations. The goal of this study was to determine if genetic structure could be detected in a United States population from a single state where the individuals have mixed European ancestry. Using Bayesian clustering with a set of 960 single nucleotide polymorphisms (SNPs) we found evidence of population stratification in 864 individuals from New Hampshire that can be used to differentiate the population into six distinct genetic subgroups. We then correlated self-reported ancestry of the individuals with the Bayesian clustering results. Finnish and Russian/Polish/Lithuanian ancestries were most notably found to be associated with genetic substructure. The ancestral results were further explained and substantiated using New Hampshire census data from 1870 to 1930 when the largest waves of European immigrants came to the area. We also discerned distinct patterns of linkage disequilibrium (LD) between the genetic groups in the growth hormone receptor gene (GHR). To our knowledge, this is the first time such an investigation has uncovered a strong link between genetic structure and ancestry in what would otherwise be considered a homogenous US population.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
United States 2 7%
Ethiopia 1 3%
Unknown 25 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 30%
Student > Ph. D. Student 8 27%
Student > Master 3 10%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 5 17%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 57%
Medicine and Dentistry 6 20%
Social Sciences 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Environmental Science 1 3%
Other 1 3%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 October 2017.
All research outputs
#3,588,480
of 22,710,079 outputs
Outputs from PLOS ONE
#44,464
of 193,906 outputs
Outputs of similar age
#14,021
of 91,458 outputs
Outputs of similar age from PLOS ONE
#140
of 529 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,906 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 77% 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 91,458 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 84% of its contemporaries.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.