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A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma

Overview of attention for article published in Nature, November 2011
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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 (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
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1 patent
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1 Wikipedia page
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1 research highlight platform

Citations

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392 Dimensions

Readers on

mendeley
313 Mendeley
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3 CiteULike
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Title
A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma
Published in
Nature, November 2011
DOI 10.1038/nature10630
Pubmed ID
Authors

Satoru Yokoyama, Susan L. Woods, Glen M. Boyle, Lauren G. Aoude, Stuart MacGregor, Victoria Zismann, Michael Gartside, Anne E. Cust, Rizwan Haq, Mark Harland, John C. Taylor, David L. Duffy, Kelly Holohan, Ken Dutton-Regester, Jane M. Palmer, Vanessa Bonazzi, Mitchell S. Stark, Judith Symmons, Matthew H. Law, Christopher Schmidt, Cathy Lanagan, Linda O’Connor, Elizabeth A. Holland, Helen Schmid, Judith A. Maskiell, Jodie Jetann, Megan Ferguson, Mark A. Jenkins, Richard F. Kefford, Graham G. Giles, Bruce K. Armstrong, Joanne F. Aitken, John L. Hopper, David C. Whiteman, Paul D. Pharoah, Douglas F. Easton, Alison M. Dunning, Julia A. Newton-Bishop, Grant W. Montgomery, Nicholas G. Martin, Graham J. Mann, D. Timothy Bishop, Hensin Tsao, Jeffrey M. Trent, David E. Fisher, Nicholas K. Hayward, Kevin M. Brown

Abstract

So far, two genes associated with familial melanoma have been identified, accounting for a minority of genetic risk in families. Mutations in CDKN2A account for approximately 40% of familial cases, and predisposing mutations in CDK4 have been reported in a very small number of melanoma kindreds. Here we report the whole-genome sequencing of probands from several melanoma families, which we performed in order to identify other genes associated with familial melanoma. We identify one individual carrying a novel germline variant (coding DNA sequence c.G1075A; protein sequence p.E318K; rs149617956) in the melanoma-lineage-specific oncogene microphthalmia-associated transcription factor (MITF). Although the variant co-segregated with melanoma in some but not all cases in the family, linkage analysis of 31 families subsequently identified to carry the variant generated a log of odds (lod) score of 2.7 under a dominant model, indicating E318K as a possible intermediate risk variant. Consistent with this, the E318K variant was significantly associated with melanoma in a large Australian case-control sample. Likewise, it was similarly associated in an independent case-control sample from the United Kingdom. In the Australian sample, the variant allele was significantly over-represented in cases with a family history of melanoma, multiple primary melanomas, or both. The variant allele was also associated with increased naevus count and non-blue eye colour. Functional analysis of E318K showed that MITF encoded by the variant allele had impaired sumoylation and differentially regulated several MITF targets. These data indicate that MITF is a melanoma-predisposition gene and highlight the utility of whole-genome sequencing to identify novel rare variants associated with disease susceptibility.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 313 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 2 <1%
Austria 1 <1%
Australia 1 <1%
France 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Iceland 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 299 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 23%
Student > Ph. D. Student 59 19%
Student > Master 23 7%
Student > Bachelor 23 7%
Professor > Associate Professor 18 6%
Other 65 21%
Unknown 53 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 28%
Biochemistry, Genetics and Molecular Biology 72 23%
Medicine and Dentistry 67 21%
Neuroscience 6 2%
Immunology and Microbiology 5 2%
Other 18 6%
Unknown 58 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 November 2015.
All research outputs
#3,722,734
of 26,017,215 outputs
Outputs from Nature
#53,933
of 99,074 outputs
Outputs of similar age
#20,125
of 157,408 outputs
Outputs of similar age from Nature
#620
of 956 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 157,408 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 86% of its contemporaries.
We're also able to compare this research output to 956 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.