Evidence map›Paper›PMID 33277540›Full record

SynthesisScientific reports2020

Integrative genomic analysis implicates ERCC6 and its interaction with ERCC8 in susceptibility to breast cancer.

Roxana Moslehi, Hui-Shien Tsao, Nur Zeinomar, Cristy Stagnar, Sean Fitzpatrick, Amiran Dzutsev

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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

6 authors at 3 institutions in 1 country.

Roxana MoslehiSchool of Public Health, Cancer Research Center, University at Albany, State University of New York (SUNY), Albany, NY, 12144, USA. rmoslehi@albany.edu.
Hui-Shien TsaoSchool of Public Health, Cancer Research Center, University at Albany, State University of New York (SUNY), Albany, NY, 12144, USA.
Nur ZeinomarSchool of Public Health, Cancer Research Center, University at Albany, State University of New York (SUNY), Albany, NY, 12144, USA.
Cristy StagnarSchool of Public Health, Cancer Research Center, University at Albany, State University of New York (SUNY), Albany, NY, 12144, USA.
Sean FitzpatrickSchool of Public Health, Cancer Research Center, University at Albany, State University of New York (SUNY), Albany, NY, 12144, USA.
Amiran DzutsevCancer Vaccine Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
University at Albany, State University of New York · USColumbia University · USNational Cancer Institute · US

Funding

Developmental Infrastructure CoreR24HD044943 · NICHD · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI SHAW, BENJAMIN A · 2004 to 2016
$4.8M
NICHD NIH HHS R24 HD044943
6 · The paper itself

Abstract

Up to 30% of all breast cancer cases may be inherited and up to 85% of those may be due to segregation of susceptibility genes with low and moderate risk [odds ratios (OR) ≤ 3] for (mostly peri- and post-menopausal) breast cancer. The majority of low/moderate-risk genes, particularly those with minor allele frequencies (MAF) of < 30%, have not been identified and/or validated due to limitations of conventional association testing approaches, which include the agnostic nature of Genome Wide Association Studies (GWAS). To overcome these limitations, we used a hypothesis-driven integrative genomics approach to test the association of breast cancer with candidate genes by analyzing multi-omics data. Our candidate-gene association analyses of GWAS datasets suggested an increased risk of breast cancer with ERCC6 (main effect: 1.29 ≤ OR ≤ 2.91, 0.005 ≤ p ≤ 0.04, 11.8 ≤ MAF ≤ 40.9%), and implicated its interaction with ERCC8 (joint effect: 3.03 ≤ OR ≤ 5.31, 0.01 ≤ p

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastDNA HelicasesDNA Repair EnzymesFemaleGenome-Wide Association StudyHumansPoly-ADP-Ribose Binding ProteinsTranscription FactorsDNA HelicasesDNA Repair EnzymesERCC6 protein, humanERCC8 protein, humanPoly-ADP-Ribose Binding ProteinsTranscription Factors

Identifiers

PMID33277540
PMCPMC7718875
OpenAlexW3108354918

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.