Evidence map›Paper›PMID 29522175›Full record

ArticleJournal of the National Cancer Institute2017

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

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 and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Literature Review of Whole Exome and Genome Sequencing Population Studies of Genetic Susceptibility to Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
  3. Disruption of CTCF binding by germline non-coding variants inmedRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
  5. Article
  6. New Insights into Melanoma Tumor Syndromes.JID innovations : skin science from molecules to population health · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Melanoma susceptibility: an update on genetic and epigenetic findings.International journal of molecular epidemiology and genetics · 2021
    Review
  13. Article
  14. Article
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  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 9 institutions in 6 countries.

Mykyta ArtomovMGH Analytic and Translational Genetics Unit, MGH and Broad Institute, Boston, MA.
Alexander J Stratigos1st Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece.
Ivana KimRetina Service, Massachusetts Eye and Ear Infirmary, Boston, MA.
Raj KumarDepartment of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA.
Martin LaussRetina Service, Massachusetts Eye and Ear Infirmary, Boston, MA.
Bobby Y ReddyDepartment of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA.
Benchun MiaoDepartment of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA.
Carla Daniela Robles-EspinozaExperimental Cancer Genetics, Wellcome Trust Sanger Institute, Cambridge, UK.
Aravind SankarExperimental Cancer Genetics, Wellcome Trust Sanger Institute, Cambridge, UK.
Ching-Ni NjauwDepartment of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA.
Kristen ShannonMelanoma Genetics Program, MGH Cancer Center, MGH, Boston, MA.
Evangelos S GragoudasRetina Service, Massachusetts Eye and Ear Infirmary, Boston, MA.
Anne Marie LaneRetina Service, Massachusetts Eye and Ear Infirmary, Boston, MA.
Vivek IyerExperimental Cancer Genetics, Wellcome Trust Sanger Institute, Cambridge, UK.
Julia A Newton-BishopSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
D Timothy BishopDepartment of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA.
Elizabeth A HollandCentre for Cancer Research, Westmead Institute for Medical Research, University of Sydney, Westmead, Australia.
Graham J MannCentre for Cancer Research, Westmead Institute for Medical Research, University of Sydney, Westmead, Australia.
Tarjinder SinghWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Mark J DalyMGH Analytic and Translational Genetics Unit, MGH and Broad Institute, Boston, MA.
Hensin TsaoMelanoma Genetics Program, MGH Cancer Center, MGH, Boston, MA.
Wellcome Sanger Institute · GBMassachusetts Eye and Ear Infirmary · USCancer Genetics (United States) · USUniversity of Leeds · GBUniversity of Sydney · AUBroad Institute · USHarvard University · USLund University · SENational and Kapodistrian University of Athens · GR

Funding

Transcriptional mechanisms and melanomaP01CA163222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Kai W Wucherpfennig · 2013 to 2026
$25.3M
Molecular Risk Assessment in Hereditary MelanomaK24CA149202 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TSAO, HENSIN · 2010 to 2019
$1.9M
Cancer Research UK 10589Cancer Research UK 19167NCI NIH HHS K24 CA149202NCI NIH HHS P01 CA163222Wellcome Trust
6 · The paper itself

Abstract

Background: 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). Methods: 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. Results: 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. Conclusions: 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.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseBiomarkers, TumorCase-Control StudiesExomeExome SequencingEye NeoplasmsGerm-Line MutationHumansMelanomaPrognosisSkin NeoplasmsSurvival RateTranscription FactorsBiomarkers, TumorEBF3 protein, humanTranscription Factors

Identifiers

PMID29522175
PMCPMC5939858
OpenAlexW2620621494

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.