↓ Skip to main content

Decay of linkage disequilibrium within genes across HGDP-CEPH human samples: most population isolates do not show increased LD

Overview of attention for article published in BMC Genomics, July 2009
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
55 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Decay of linkage disequilibrium within genes across HGDP-CEPH human samples: most population isolates do not show increased LD
Published in
BMC Genomics, July 2009
DOI 10.1186/1471-2164-10-338
Pubmed ID
Authors

Elena Bosch, Hafid Laayouni, Carlos Morcillo-Suarez, Ferran Casals, Andrés Moreno-Estrada, Anna Ferrer-Admetlla, Michelle Gardner, Araceli Rosa, Arcadi Navarro, David Comas, Jan Graffelman, Francesc Calafell, Jaume Bertranpetit

Abstract

It is well known that the pattern of linkage disequilibrium varies between human populations, with remarkable geographical stratification. Indirect association studies routinely exploit linkage disequilibrium around genes, particularly in isolated populations where it is assumed to be higher. Here, we explore both the amount and the decay of linkage disequilibrium with physical distance along 211 gene regions, most of them related to complex diseases, across 39 HGDP-CEPH population samples, focusing particularly on the populations defined as isolates. Within each gene region and population we use r2 between all possible single nucleotide polymorphism (SNP) pairs as a measure of linkage disequilibrium and focus on the proportion of SNP pairs with r2 greater than 0.8.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Brazil 2 4%
Switzerland 1 2%
France 1 2%
New Zealand 1 2%
Spain 1 2%
Unknown 47 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 33%
Researcher 11 20%
Professor 6 11%
Professor > Associate Professor 5 9%
Student > Bachelor 2 4%
Other 8 15%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 62%
Biochemistry, Genetics and Molecular Biology 6 11%
Computer Science 2 4%
Mathematics 1 2%
Business, Management and Accounting 1 2%
Other 4 7%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 January 2015.
All research outputs
#3,396,278
of 25,390,203 outputs
Outputs from BMC Genomics
#1,162
of 11,239 outputs
Outputs of similar age
#12,599
of 121,188 outputs
Outputs of similar age from BMC Genomics
#10
of 51 outputs
Altmetric has tracked 25,390,203 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,239 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 121,188 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 89% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.