Evidence map›Paper›PMID 20386703›Full record

ArticlePloS one2010

Association between DNA damage response and repair genes and risk of invasive serous ovarian cancer.

Joellen M Schildkraut, Edwin S Iversen, Melanie A Wilson, Merlise A Clyde, Patricia G Moorman, Rachel T Palmieri, Regina Whitaker, Rex C Bentley, Jeffrey R Marks, Andrew Berchuck

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 5 pooled it
7.1field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 5 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  5. Pooled it
  6. Patterns of Associations with Epidemiologic Factors by High-Grade Serous Ovarian Cancer Gene Expression Subtypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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  11. High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  12. Depot-Medroxyprogesterone Acetate Use Is Associated with Decreased Risk of Ovarian Cancer: The Mounting Evidence of a Protective Role of Progestins.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  13. The repair geneOncology reviews · 2021
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  14. Article
  15. Article
  16. Article
  17. 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

10 authors at 4 institutions in 1 country.

Joellen M SchildkrautDepartment of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, United States of America. schil001@mc.duke.edu
Edwin S Iversen
Melanie A Wilson
Merlise A Clyde
Patricia G Moorman
Rachel T Palmieri
Regina Whitaker
Rex C Bentley
Jeffrey R Marks
Andrew Berchuck
Duke Medical Center · USDuke University · USDuke University Hospital · USUniversity of North Carolina at Chapel Hill · US

Funding

EXPRESSION BASED MARKERS FOR BREAST CANCER DETECTIONU01CA084955 · NCI · DUKE UNIVERSITY · PI MARKS, JEFFREY R. · 1999 to 2015
$6.5M
The Molecular Epidemiology Of Ovarian CancerR01CA076016 · NCI · DUKE UNIVERSITY · PI SCHILDKRAUT, JOELLEN M. · 1998 to 2010
$6.2M
Bayesian Modeling and Optimal Design for Studies of Gene-Environment AssociationR01HL090559 · NHLBI · DUKE UNIVERSITY · PI IVERSEN, EDWIN SEVERIN · 2007 to 2009
$1.2M
NCI NIH HHS 1-R01-CA76016NCI NIH HHS R01 CA076016NCI NIH HHS U01 CA084955NHLBI NIH HHS 1-R01-HL090559NHLBI NIH HHS R01 HL090559
6 · The paper itself

Abstract

backgroundWe analyzed the association between 53 genes related to DNA repair and p53-mediated damage response and serous ovarian cancer risk using case-control data from the North Carolina Ovarian Cancer Study (NCOCS), a population-based, case-control study. METHODS/PRINCIPAL

findingsThe analysis was restricted to 364 invasive serous ovarian cancer cases and 761 controls of white, non-Hispanic race. Statistical analysis was two staged: a screen using marginal Bayes factors (BFs) for 484 SNPs and a modeling stage in which we calculated multivariate adjusted posterior probabilities of association for 77 SNPs that passed the screen. These probabilities were conditional on subject age at diagnosis/interview, batch, a DNA quality metric and genotypes of other SNPs and allowed for uncertainty in the genetic parameterizations of the SNPs and number of associated SNPs. Six SNPs had Bayes factors greater than 10 in favor of an association with invasive serous ovarian cancer. These included rs5762746 (median OR(odds ratio)(per allele) = 0.66; 95% credible interval (CI) = 0.44-1.00) and rs6005835 (median OR(per allele) = 0.69; 95% CI = 0.53-0.91) in CHEK2, rs2078486 (median OR(per allele) = 1.65; 95% CI = 1.21-2.25) and rs12951053 (median OR(per allele) = 1.65; 95% CI = 1.20-2.26) in TP53, rs411697 (median OR (rare homozygote) = 0.53; 95% CI = 0.35 - 0.79) in BACH1 and rs10131 (median OR( rare homozygote) = not estimable) in LIG4. The six most highly associated SNPs are either predicted to be functionally significant or are in LD with such a variant. The variants in TP53 were confirmed to be associated in a large follow-up study. CONCLUSIONS/SIGNIFICANCE: Based on our findings, further follow-up of the DNA repair and response pathways in a larger dataset is warranted to confirm these results.

Indexed as

Polymorphism, Single NucleotideBayes TheoremCase-Control StudiesCystadenocarcinoma, SerousData CollectionDNA DamageDNA RepairFemaleHumansModels, StatisticalNeoplasm InvasivenessOvarian NeoplasmsProbabilityRiskTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID20386703
PMCPMC2851649
OpenAlexW2026292458

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.