Evidence map›Paper›PMID 25644941›Full record

ArticleMolecular cancer2015

Identification of rare germline copy number variations over-represented in five human cancer types.

Richard W Park, Tae-Min Kim, Simon Kasif, Peter J Park

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  10. Germline 16p11.2 Microdeletion Predisposes to Neuroblastoma.American journal of human genetics · 2019
    Article
  11. Article
  12. Large Genomic Aberrations in Corticotropinomas Are Associated With Greater Aggressiveness.The Journal of clinical endocrinology and metabolism · 2019
    Article
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  14. Article
  15. Review
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  18. BREAST CANCER HISTOPATHOLOGY IMAGE ANALYSIS PIPELINE FOR TUMOR PURITY ESTIMATION.Proceedings. IEEE International Symposium on Biomedical Imaging · 2017
    Article
  19. Article
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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

4 authors at 3 institutions in 1 country.

Richard W ParkBioinformatics Program, Boston University, Boston, MA, USA. rpark@bu.edu.
Tae-Min KimCenter for Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA, 02115, USA. tmkim@catholic.ac.kr.
Simon KasifBioinformatics Program, Boston University, Boston, MA, USA. kasif@bu.edu.
Peter J ParkCenter for Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA, 02115, USA. peter_park@harvard.edu.
Boston University · USHarvard–MIT Division of Health Sciences and Technology · USHarvard University · US

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
A Genome-wide Association Study for Early-Onset Myocardial InfarctionR01HL087676 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ALTSHULER, DAVID · 2007 to 2009
$4.7M
Integrative Analysis of Multiple Genomic Data SetsR01GM082798 · NIGMS · HARVARD MEDICAL SCHOOL · PI PARK, PETER J · 2007 to 2011
$1.5M
NCRR NIH HHS U54 RR02027NHLBI NIH HHS R01 HL087676NIGMS NIH HHS R01 GM082798NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

backgroundCopy number variations (CNVs) are increasingly recognized as significant disease susceptibility markers in many complex disorders including cancer. The availability of a large number of chromosomal copy number profiles in both malignant and normal tissues in cancer patients presents an opportunity to characterize not only somatic alterations but also germline CNVs, which may confer increased risk for cancer.

resultsWe explored the germline CNVs in five cancer cohorts from the Cancer Genome Atlas (TCGA) consisting of 351 brain, 336 breast, 342 colorectal, 370 renal, and 314 ovarian cancers, genotyped on Affymetrix SNP6.0 arrays. Comparing these to ~3000 normal controls from another study, our case-control association study revealed 39 genomic loci (9 brain, 3 breast, 4 colorectal, 11 renal, and 12 ovarian cancers) as potential candidates of tumor susceptibility loci. Many of these loci are new and in some cases are associated with a substantial increase in disease risk. The majority of the observed loci do not overlap with coding sequences; however, several observed genomic loci overlap with known cancer genes including RET in brain cancers, ERBB2 in renal cell carcinomas, and DCC in ovarian cancers, all of which have not been previously associated with germline changes in cancer.

conclusionsThis large-scale genome-wide association study for CNVs across multiple cancer types identified several novel rare germline CNVs as cancer predisposing genomic loci. These loci can potentially serve as clinically useful markers conferring increased cancer risk.

Indexed as

Case-Control StudiesDNA Copy Number VariationsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleNeoplasmsPolymorphism, Single NucleotideRisk

Identifiers

PMID25644941
PMCPMC4381456
OpenAlexW2105616889

What OpenQuestion holds

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LicenceCC BY
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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.