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Worldwide population distribution of the common LCE3C-LCE3B deletion associated with psoriasis and other autoimmune disorders

Overview of attention for article published in BMC Genomics, April 2013
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

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9 Dimensions

Readers on

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30 Mendeley
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Title
Worldwide population distribution of the common LCE3C-LCE3B deletion associated with psoriasis and other autoimmune disorders
Published in
BMC Genomics, April 2013
DOI 10.1186/1471-2164-14-261
Pubmed ID
Authors

Laia Bassaganyas, Eva Riveira-Muñoz, Manel García-Aragonés, Juan R González, Mario Cáceres, Lluís Armengol, Xavier Estivill

Abstract

BACKGROUND: There is increasing evidence of the importance of copy number variants (CNV) in genetic diversity among individuals and populations, as well as in some common genetic diseases. We previously characterized a common 32-kb insertion/deletion variant of the PSORS4 locus at chromosome 1q21 that harbours the LCE3C and LCE3B genes. This variant allele (LCE3C_LCE3B-del) is common in patients with psoriasis and other autoimmune disorders from certain ethnic groups. RESULTS: Using array-CGH (Agilent 244 K) in samples from the HapMap and Human Genome Diversity Panel (HGDP) collections, we identified 54 regions showing population differences in comparison to Africans. We provided here a comprehensive population-genetic analysis of one of these regions, which involves the 32-kb deletion of the PSORS4 locus. By a PCR-based genotyping assay we characterised the profiles of the LCE3C_LCE3B-del and the linkage disequilibrium (LD) pattern between the variant allele and the tag SNP rs4112788. Our results show that most populations tend to have a higher frequency of the deleted allele than Sub-Saharan Africans. Furthermore, we found strong LD between rs4112788G and LCE3C_LCE3B-del in most non-African populations (r2 >0.8), in contrast to the low concordance between loci (r2 <0.3) in the African populations. CONCLUSIONS: These results are another example of population variability in terms of biomedical interesting CNV. The frequency distribution of the LCE3C_LCE3B-del allele and the LD pattern across populations suggest that the differences between ethnic groups might not be due to natural selection, but the consequence of genetic drift caused by the strong bottleneck that occurred during "out of Africa" expansion.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Spain 2 7%
United Kingdom 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 43%
Researcher 6 20%
Student > Master 2 7%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 43%
Medicine and Dentistry 5 17%
Biochemistry, Genetics and Molecular Biology 4 13%
Computer Science 2 7%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 5 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 March 2015.
All research outputs
#636,849
of 4,925,544 outputs
Outputs from BMC Genomics
#523
of 4,536 outputs
Outputs of similar age
#13,593
of 92,078 outputs
Outputs of similar age from BMC Genomics
#21
of 170 outputs
Altmetric has tracked 4,925,544 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 4,536 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 88% 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 92,078 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 85% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.