Evidence map›Paper›PMID 36929174›Full record

ArticleHuman molecular genetics2023

GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer.

Mariann Koel, Urmo Võsa, Maarja Jõeloo, Kristi Läll, Natàlia P Gualdo, Hannele Laivuori, Susanna Lemmelä, Estonian Biobank Research Team; FinnGen, Mark Daly, Priit Palta and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
5.6field-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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Mariann KoelEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Urmo VõsaEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Maarja JõelooEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Kristi LällEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Natàlia P GualdoEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Hannele LaivuoriInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki 00014, Finland.
Susanna LemmeläInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki 00014, Finland.
Estonian Biobank Research Team; FinnGen
Mark DalyInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki 00014, Finland.
Priit PaltaEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Reedik MägiEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Triin LaiskEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
University of Tartu · EEUniversity of Helsinki · FIInstitute for Molecular Medicine Finland · FITampere University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have successfully identified associations for cervical cancer, but the underlying mechanisms of cervical biology and pathology remain uncharacterised. Our GWAS meta-analyses fill this gap, as we characterise the genetic architecture of cervical phenotypes, including cervical ectropion, cervicitis, cervical dysplasia, as well as up to 9229 cases and 490 304 controls for cervical cancer from diverse ancestries. Leveraging the latest computational methods and gene expression data, we refine the association signals for cervical cancer and propose potential causal variants and genes at each locus. We prioritise PAX8/PAX8-AS1, LINC00339, CDC42, CLPTM1L, HLA-DRB1 and GSDMB as the most likely candidate genes for cervical cancer signals, providing insights into cervical cancer pathogenesis and supporting the involvement of reproductive tract development, immune response and cellular proliferation/apoptosis. We construct a genetic risk score (GRS) that is associated with cervical cancer [hazard ratios (HR) = 3.1 (1.7-5.6) for the top 15% vs lowest 15% of individuals], and with other HPV- and immune-system-related diagnoses in a phenome-wide association study analysis. Our results propose valuable leads for further functional studies and present a GRS for cervical cancer that allows additional risk stratification and could potentially be used to personalise the conventional screening strategies for groups more susceptible to cervical cancer.

Indexed as

Genome-Wide Association StudyUterine Cervical NeoplasmsFemaleGenetic Predisposition to DiseaseHumansPhenotypePolymorphism, Single NucleotideRisk Assessment

Identifiers

PMID36929174
PMCPMC10244231
OpenAlexW4327575228

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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 OpenQuestion graph.