Evidence map›Paper›PMID 30333196›Full record

ArticleGenome research2018

Cell-type-specific eQTL of primary melanocytes facilitates identification of melanoma susceptibility genes.

Tongwu Zhang, Jiyeon Choi, Michael A Kovacs, Jianxin Shi, Mai Xu, NISC Comparative Sequencing Program, Melanoma Meta-Analysis Consortium, Alisa M Goldstein, Adam J Trower, D Timothy Bishop and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

65 citing papers in PubMed, 5 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
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  6. Article
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  12. Review
  13. Functional characterization of the 9q34.13 locus identifiesbioRxiv : the preprint server for biology · 2026
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5 more citing papers are in PubMed but not listed here.

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

18 authors at 3 institutions in 3 countries.

Tongwu Zhang *Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Jiyeon Choi *Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Michael A KovacsLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Jianxin ShiBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Mai XuLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
NISC Comparative Sequencing Program
Melanoma Meta-Analysis Consortium
Alisa M GoldsteinClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Adam J TrowerSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom.
D Timothy BishopSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom.
Mark M IlesSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS9 7TF, United Kingdom.
David L DuffyStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia.
Stuart MacGregorStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia.
Laufey T AmundadottirLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Matthew H LawStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia.
Stacie K LoftusGenetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
William J Pavan *Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Kevin M Brown *Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.ORCID 0000-0002-8558-6711
National Institutes of Health · USUniversity of Leeds · GBQIMR Berghofer Medical Research Institute · AU

Funding

Inter- and Intra-Species Comparative SequencingZIBHG000196 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI THOMAS, JAMES · 2009 to 2025
$177.6M
Targeting the p53 pathway for reversal of oral premalignancyP50CA097007 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MILLS, GORDON B. · 2002 to 2012
$26.1M
UT M.D. Anderson Cancer Center SPORE in MelanomaP50CA093459 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GRIMM, ELIZABETH A · 2004 to 2014
$23.7M
Genetic Epidermiology of MelanomaR01CA083115 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BISHOP, DAVID TIMOTHY, ELDER, DAVID ERIC · 2001 to 2017
$13.0M
Texas Tech Center for Translational Research and Rural Health - Research Capacity CoreU54MD020892 · NIMHD · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI Lance R. McMahon, Naima Moustaid-Moussa · 2026 to 2026
$10.0M
Molecular Epidemiology of Head and Neck CancerR01ES011740 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WEI, QINGYI · 2001 to 2012
$6.3M
Statistical Methods for Gene Environment Interactions In Lung CancerR01CA133996 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 2007 to 2009
$790k
Cancer Research UK 10589Cancer Research UK 19167Cancer Research UK C1287/A10118Cancer Research UK C490/A10124Cancer Research UK C588/A10589Cancer Research UK C588/A19167Cancer Research UK C588/A4994Cancer Research UK C8216/A6129Medical Research Council MR/L01629X/1NCI NIH HHS P50 CA093459NCI NIH HHS P50 CA097007NCI NIH HHS R01 CA083115NCI NIH HHS R01 CA133996NIEHS NIH HHS R01 ES011740NIMHD NIH HHS U54 MD020892
6 · The paper itself

Abstract

Most expression quantitative trait locus (eQTL) studies to date have been performed in heterogeneous tissues as opposed to specific cell types. To better understand the cell-type-specific regulatory landscape of human melanocytes, which give rise to melanoma but account for <5% of typical human skin biopsies, we performed an eQTL analysis in primary melanocyte cultures from 106 newborn males. We identified 597,335

Indexed as

Genetic Predisposition to DiseaseQuantitative Trait LociBasic Helix-Loop-Helix ProteinsCarrier ProteinsCells, CulturedHeme-Binding ProteinsHemeproteinsHumansInterferon Regulatory Factor-4Interferon Regulatory FactorsLinkage DisequilibriumMelanocytesMelanomaPolymorphism, Single NucleotideRepressor ProteinsBasic Helix-Loop-Helix ProteinsCarrier ProteinsHEBP1 protein, humanHeme-Binding ProteinsHemeproteinsInterferon Regulatory Factor-4Interferon Regulatory FactorsMSC protein, humanRepressor ProteinsZFP90 protein, human

Identifiers

PMID30333196
PMCPMC6211648
OpenAlexW2952207039

What OpenQuestion holds

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LicenceCC BY-NC
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.