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Rare Variant, Gene-Based Association Study of Hereditary Melanoma Using Whole-Exome Sequencing

Overview of attention for article published in JNCI: Journal of the National Cancer Institute, June 2017
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  • Average Attention Score compared to outputs of the same age and source

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10 X users
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1 Facebook page

Citations

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27 Dimensions

Readers on

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41 Mendeley
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3 CiteULike
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Title
Rare Variant, Gene-Based Association Study of Hereditary Melanoma Using Whole-Exome Sequencing
Published in
JNCI: Journal of the National Cancer Institute, June 2017
DOI 10.1093/jnci/djx083
Pubmed ID
Authors

Mykyta Artomov, Alexander J Stratigos, Ivana Kim, Raj Kumar, Martin Lauss, Bobby Y Reddy, Benchun Miao, Carla Daniela Robles-Espinoza, Aravind Sankar, Ching-Ni Njauw, Kristen Shannon, Evangelos S Gragoudas, Anne Marie Lane, Vivek Iyer, Julia A Newton-Bishop, D Timothy Bishop, Elizabeth A Holland, Graham J Mann, Tarjinder Singh, Jeffrey Barrett, David J Adams, Göran Jönsson, Mark J Daly, Hensin Tsao

Abstract

Extraordinary progress has been made in our understanding of common variants in many diseases, including melanoma. Because the contribution of rare coding variants is not as well characterized, we performed an exome-wide, gene-based association study of familial cutaneous melanoma (CM) and ocular melanoma (OM). Using 11 990 jointly processed individual DNA samples, whole-exome sequencing was performed, followed by large-scale joint variant calling using GATK (Genome Analysis ToolKit). PLINK/SEQ was used for statistical analysis of genetic variation. Four models were used to estimate the association among different types of variants. In vitro functional validation was performed using three human melanoma cell lines in 2D and 3D proliferation assays. In vivo tumor growth was assessed using xenografts of human melanoma A375 melanoma cells in nude mice (eight mice per group). All statistical tests were two-sided. Strong signals were detected for CDKN2A (Pmin = 6.16 × 10-8) in the CM cohort (n = 273) and BAP1 (Pmin = 3.83 × 10-6) in the OM (n = 99) cohort. Eleven genes that exhibited borderline association (P < 10-4) were independently validated using The Cancer Genome Atlas melanoma cohort (379 CM, 47 OM) and a matched set of 3563 European controls with CDKN2A (P = .009), BAP1 (P = .03), and EBF3 (P = 4.75 × 10-4), a candidate risk locus, all showing evidence of replication. EBF3 was then evaluated using germline data from a set of 132 familial melanoma cases and 4769 controls of UK origin (joint P = 1.37 × 10-5). Somatically, loss of EBF3 expression correlated with progression, poorer outcome, and high MITF tumors. Functionally, induction of EBF3 in melanoma cells reduced cell growth in vitro, retarded tumor formation in vivo, and reduced MITF levels. The results of this large rare variant germline association study further define the mutational landscape of hereditary melanoma and implicate EBF3 as a possible CM predisposition gene.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Researcher 8 20%
Student > Doctoral Student 5 12%
Student > Master 3 7%
Professor 2 5%
Other 6 15%
Unknown 9 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 29%
Medicine and Dentistry 10 24%
Agricultural and Biological Sciences 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 13 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 February 2019.
All research outputs
#7,096,877
of 26,391,552 outputs
Outputs from JNCI: Journal of the National Cancer Institute
#3,811
of 7,965 outputs
Outputs of similar age
#102,283
of 337,054 outputs
Outputs of similar age from JNCI: Journal of the National Cancer Institute
#32
of 51 outputs
Altmetric has tracked 26,391,552 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has gotten more attention than average, scoring higher than 51% 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 337,054 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% 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 is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.