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IRF4 Variants Have Age-Specific Effects on Nevus Count and Predispose to Melanoma

Overview of attention for article published in American Journal of Human Genetics, June 2010
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

blogs
1 blog

Citations

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112 Dimensions

Readers on

mendeley
69 Mendeley
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Title
IRF4 Variants Have Age-Specific Effects on Nevus Count and Predispose to Melanoma
Published in
American Journal of Human Genetics, June 2010
DOI 10.1016/j.ajhg.2010.05.017
Pubmed ID
Authors

David L. Duffy, Mark M. Iles, Dan Glass, Gu Zhu, Jennifer H. Barrett, Veronica Höiom, Zhen Z. Zhao, Richard A. Sturm, Nicole Soranzo, Chris Hammond, Marina Kvaskoff, David C. Whiteman, Massimo Mangino, Johan Hansson, Julia A. Newton-Bishop, GenoMEL, Veronique Bataille, Nicholas K. Hayward, Nicholas G. Martin, D. Timothy Bishop, Timothy D. Spector, Grant W. Montgomery

Abstract

High melanocytic nevus count is a strong predictor of melanoma risk. A GWAS of nevus count in Australian adolescent twins identified an association of nevus count with the interferon regulatory factor 4 gene (IRF4 [p = 6 x 10(-9)]). There was a strong genotype-by-age interaction, which was replicated in independent UK samples of adolescents and adults. The rs12203592(*)T allele was associated with high nevus counts and high freckling scores in adolescents, but with low nevus counts and high freckling scores in adults. The rs12203592(*)T increased counts of flat (compound and junctional) nevi in Australian adolescent twins, but decreased counts of raised (intradermal) nevi. In combined analysis of melanoma case-control data from Australia, the UK, and Sweden, the rs12203592(*)C allele was associated with melanoma (odds ratio [OR] 1.15, p = 4 x 10(-3)), most significantly on the trunk (OR = 1.33, p = 2.5 x 10(-5)). The melanoma association was corroborated in a GWAS performed by the GenoMEL consortium for an adjacent SNP, rs872071 (rs872071(*)T: OR 1.14, p = 0.0035; excluding Australian, the UK, and Swedish samples typed at rs12203592: OR 1.08, p = 0.08).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Australia 1 1%
Turkey 1 1%
Unknown 65 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 12 17%
Student > Ph. D. Student 10 14%
Professor 6 9%
Student > Bachelor 5 7%
Other 12 17%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 36%
Biochemistry, Genetics and Molecular Biology 17 25%
Medicine and Dentistry 14 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Social Sciences 1 1%
Other 1 1%
Unknown 10 14%
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 18 June 2010.
All research outputs
#3,879,997
of 25,779,988 outputs
Outputs from American Journal of Human Genetics
#1,865
of 5,924 outputs
Outputs of similar age
#14,633
of 104,810 outputs
Outputs of similar age from American Journal of Human Genetics
#12
of 47 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has gotten more attention than average, scoring higher than 65% 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 104,810 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 83% of its contemporaries.
We're also able to compare this research output to 47 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 74% of its contemporaries.