Evidence map›Paper›PMID 39191651›Full record

ArticleAmerican journal of epidemiology2025

Rare germline genetic variation in PAX8 transcription factor binding sites and susceptibility to epithelial ovarian cancer.

Suzana A M Ezquina, Michelle Jones, Ed Dicks, Amber de Vries, Pei-Chen Peng, Kate Lawrenson, Rosario I Corona, Jonathan Tyrer, Dennis Hazelett, James Brenton and 3 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Suzana A M EzquinaCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, United Kingdom.ORCID 0000-0003-4903-0342
Michelle JonesCenter for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.ORCID 0000-0001-9255-717X
Ed DicksCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, United Kingdom.ORCID 0000-0002-0617-0401
Amber de VriesCenter for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.
Pei-Chen PengDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.ORCID 0000-0002-5004-4322
Kate LawrensonCenter for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.ORCID 0000-0002-6469-2515
Rosario I CoronaDepartment of Human Genetics, University of California, Los Angeles, CA 90024, United States.ORCID 0000-0003-0470-4446
Jonathan TyrerCentre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, United Kingdom.ORCID 0000-0003-3724-4757
Dennis HazelettDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.ORCID 0000-0003-0749-9935
James BrentonDepartment of Oncology, University of Cambridge, Cambridge CB2 0RE, United Kingdom.ORCID 0000-0002-5738-6683
Antonis AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, United Kingdom.
Simon A GaytherCenter for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.ORCID 0000-0001-7937-5443
Paul D P PharoahDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.ORCID 0000-0001-8494-732X

Funding

Genomic and Transcriptomic Analysis of Breast and Ovarian CancersR01CA211574 · NCI · UNIVERSITY OF VIRGINIA · PI GAYTHER, SIMON ANDREW, SCHILDKRAUT, JOELLEN M. · 2018 to 2022
$3.1M
Identifying new drivers of ovarian cancer from the non-coding genome by converging germline risk variants and somatic mutationsR00CA256519 · NCI · CEDARS-SINAI MEDICAL CENTER · PI PENG, PEI-CHEN · 2023 to 2025
$745k
Cancer Research UK PRCPJT\100006National Institutes for Health R01CA207861 and R01CA211574NCI NIH HHS R00 CA256519NCI NIH HHS R01 CA211574The Wellcome Trust, Cancer Research UK, and the Medical Research Council have also funded research infrastructureUK National Institute for Health Research and NHS EnglandWellcome Trust
6 · The paper itself

Abstract

Common genetic variation throughout the genome and rare coding variants identified to date explain about half of the inherited genetic component of epithelial ovarian cancer risk. It is likely that rare variation in the noncoding genome will explain some of the unexplained heritability, but identifying such variants is challenging. The primary problem is a lack of statistical power to identify individual risk variants by association, as power is a function of sample size, effect size, and allele frequency. Power can be increased by using burden tests, which test for the association of carriers of any variant in a specified genomic region. This has the effect of increasing the putative effect allele frequency. PAX8 is a transcription factor that plays a critical role in tumor progression, migration, and invasion. Furthermore, regulatory elements proximal to target genes of PAX8 are enriched for common ovarian cancer risk variants. We hypothesized that rare variation in PAX8 binding sites is also associated with ovarian cancer risk but unlikely to be associated with risk of breast, colorectal, or endometrial cancer. We have used publicly available, whole-genome sequencing data from the UK 100,000 Genomes Project to evaluate the burden of rare variation in PAX8 binding sites across the genome. Data were available for 522 ovarian cancers, 2984 breast cancers, 2696 colorectal cancers, 836 endometrial cancers, and 2253 noncancer controls. Active binding sites were defined using data from multiple PAX8 and H3K27 chromatin immunoprecipitation sequencing experiments. We found no association between the burden of rare variation in PAX8 binding sites (defined in several ways) and risk of ovarian, breast, or endometrial cancer. An apparent association with colorectal cancer was likely to be a technical artifact as a similar association was also detected for rare variation in random regions of the genome. Despite the null result, this study provides a proof-of-principle for using burden testing to identify rare, noncoding germline genetic variation associated with disease. Larger sample sizes available from large-scale sequencing projects, together with improved understanding of the function of the noncoding genome, will increase the potential of similar studies in the future.

Indexed as

Carcinoma, Ovarian EpithelialGenetic Predisposition to DiseaseGerm-Line MutationOvarian NeoplasmsPAX8 Transcription FactorBinding SitesCase-Control StudiesFemaleGenetic VariationHumansPolymorphism, Single NucleotidePAX8 protein, humanPAX8 Transcription Factorburden testcancernoncodingovarianPAX8rare variantstranscription factorwhole genome

Identifiers

PMID39191651
PMCPMC11978604

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.