Evidence map›Paper›PMID 27476724›Full record

ArticleThe Journal of investigative dermatology2016

Rare Germline Copy Number Variations and Disease Susceptibility in Familial Melanoma.

Jianxin Shi, Weiyin Zhou, Bin Zhu, Paula L Hyland, Hunter Bennett, Yanzi Xiao, Xijun Zhang, Laura S Burke, Lei Song, Chih Hao Hsu and 12 more

Abstract readComparative Study
In one paragraph

Article in The Journal of investigative dermatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Disruption of CTCF binding by germline non-coding variants inmedRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Inherited duplications of PPP2R3B predispose to nevi and melanoma via a C21orf91-driven proliferative phenotype.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  6. Melanoma susceptibility: an update on genetic and epigenetic findings.International journal of molecular epidemiology and genetics · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

22 authors.

Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Weiyin ZhouCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Bin ZhuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Paula L HylandDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Hunter BennettDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Yanzi XiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Xijun ZhangCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Laura S BurkeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA; Statistics Collaborative, Inc., Washington, DC, USA.
Lei SongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Chih Hao HsuComputational Genomics Research Group, Center for Biomedical Informatics & Information Technology, National Cancer Institute, Bethesda, Maryland, USA.
Chunhua YanComputational Genomics Research Group, Center for Biomedical Informatics & Information Technology, National Cancer Institute, Bethesda, Maryland, USA.
Qingrong ChenComputational Genomics Research Group, Center for Biomedical Informatics & Information Technology, National Cancer Institute, Bethesda, Maryland, USA.
Daoud MeerzamanComputational Genomics Research Group, Center for Biomedical Informatics & Information Technology, National Cancer Institute, Bethesda, Maryland, USA.
Casey L DagnallCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Laurie BurdetteCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Belynda HicksCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Meredith YeagerCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Margaret A TuckerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Alisa M GoldsteinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA.
Xiaohong R YangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA. Electronic address: royang@mail.nih.gov.

Funding

Family Studies ZIACP004410 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SAVAGE, SHARON A. · 2009 to 2025
$56.1M
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA CP004410
6 · The paper itself

Abstract

Mounting evidence suggests that copy number variations (CNVs) can contribute to cancer susceptibility. The main goal of this study was to evaluate the role of germline CNVs in melanoma predisposition in high-risk melanoma families. We used genome-wide tiling comparative genomic hybridization and single nucleotide polymorphism arrays to characterize CNVs in 335 individuals (240 melanoma cases) from American melanoma-prone families (22 with germline CDKN2A or CDK4 mutations). We found that the global burden of overall CNVs (or deletions or duplications separately) was not significantly associated with case-control or CDKN2A/CDK4 mutation status after accounting for the familial dependence. However, we identified several rare CNVs that either involved known melanoma genes (e.g., PARP1, CDKN2A) or cosegregated with melanoma (duplication on 10q23.23, 3p12.2 and deletions on 8q424.3, 2q22.1) in families without mutations in known melanoma high-risk genes. Some of these CNVs were correlated with expression changes in disrupted genes based on RNASeq data from a subset of melanoma cases included in the CNV study. These results suggest that rare cosegregating CNVs may influence melanoma susceptibility in some melanoma-prone families and genes found in our study warrant further evaluation in future genetic analyses of melanoma.

Indexed as

Germ-Line MutationCutaneous Malignant MelanomaDNA Copy Number VariationsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansIncidenceMaleMelanomaPedigreeReal-Time Polymerase Chain ReactionRisk AssessmentSequence Analysis, RNASkin Neoplasms

Identifiers

PMID27476724
PMCPMC5123914

What OpenQuestion holds

Textmetadata
LicenceTDM
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.