Evidence map›Paper›PMID 31341520›Full record

ArticleHereditary cancer in clinical practice2019

Age-adjusted association of homologous recombination genes with ovarian cancer using clinical exomes as controls.

Kevin J Arvai, Maegan E Roberts, Rebecca I Torene, Lisa R Susswein, Megan L Marshall, Zhancheng Zhang, Natalie J Carter, Lauren Yackowski, Erica S Rinella, Rachel T Klein and 2 more

Open access · goldAbstract read
In one paragraph

Article in Hereditary cancer in clinical practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

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

  1. Pooled it
  2. GermlineJournal of personalized medicine · 2024
    Article
  3. Article
  4. Review
  5. BeyondJournal of clinical medicine · 2020
    Article
  6. Review
  7. Review
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

12 authors at 2 institutions in 2 countries.

Kevin J Arvai1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.ORCID 0000-0001-8751-8918
Maegan E Roberts1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Rebecca I Torene1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Lisa R Susswein1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Megan L Marshall1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Zhancheng Zhang1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Natalie J Carter1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Lauren Yackowski1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Erica S Rinella1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Rachel T KleinMy Gene Team, Miami, Florida USA.
Kathleen S Hruska1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
Kyle Retterer1GeneDx, 207 Perry Pkwy, Gaithersburg, MD USA.
OpGen (United States) · USGene Therapy Laboratory · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenes in the homologous recombination pathway have shown varying results in the literature regarding ovarian cancer (OC) association. Recent case-control studies have used allele counts alone to quantify genetic associations with cancer.

methodsA retrospective case-control study was performed on 6,182 women with OC referred for hereditary cancer multi-gene panel testing (cases) and 4,690 mothers from trios who were referred for whole-exome sequencing (controls). We present age-adjusted odds ratios (OR

resultsSignificant associations with OC were observed in

conclusionThe lack of association of PVs in

Indexed as

BRIP1Exome sequencingOvarian Cancer

Identifiers

PMID31341520
PMCPMC6631909
OpenAlexW2957413295

What OpenQuestion holds

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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.