Evidence map›Paper›PMID 36303976›Full record

ArticleFrontiers in reproductive health2021

Polygenic Risk Score Prediction for Endometriosis.

Kirstine Kloeve-Mogensen, Palle Duun Rohde, Simone Twisttmann, Marianne Nygaard, Kristina Magaard Koldby, Rudi Steffensen, Christian Møller Dahl, Dorte Rytter, Michael Toft Overgaard, Axel Forman and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in reproductive health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Predictive markers of endometriosis: a future perspective.Archives of gynecology and obstetrics · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

12 authors at 6 institutions in 1 country.

Kirstine Kloeve-MogensenDepartment of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Palle Duun RohdeDepartment of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Simone TwisttmannThe Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Marianne NygaardThe Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Kristina Magaard KoldbyDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Rudi SteffensenDepartment of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark.
Christian Møller DahlDepartment of Business and Economics, University of Southern Denmark, Odense, Denmark.
Dorte RytterResearch Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Michael Toft OvergaardDepartment of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Axel FormanDepartment of Gynecology and Obstetrics, Aarhus University Hospital, Skejby, Denmark.
Lene ChristiansenThe Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Mette NyegaardDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Aalborg University · DKUniversity of Southern Denmark · DKAarhus University · DKAalborg University Hospital · DKAarhus University Hospital · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a major health care challenge because many young women with endometriosis go undetected for an extended period, which may lead to pain sensitization. Clinical tools to better identify candidates for laparoscopy-guided diagnosis are urgently needed. Since endometriosis has a strong genetic component, there is a growing interest in using genetics as part of the clinical risk assessment. The aim of this work was to investigate the discriminative ability of a polygenic risk score (PRS) for endometriosis using three different cohorts: surgically confirmed cases from the Western Danish endometriosis referral Center (249 cases, 348 controls), cases identified from the Danish Twin Registry (DTR) based on ICD-10 codes from the National Patient Registry (140 cases, 316 controls), and replication analysis in the UK Biobank (2,967 cases, 256,222 controls). Patients with adenomyosis from the DTR (25 cases) and from the UK Biobank (1,883 cases) were included for comparison. The PRS was derived from 14 genetic variants identified in a published genome-wide association study with more than 17,000 cases. The PRS was associated with endometriosis in surgically confirmed cases [odds ratio (OR) = 1.59,

Indexed as

endometriosisgenetic associationICD-10polygenic risk scoresubtypes

Identifiers

PMID36303976
PMCPMC9580817
OpenAlexW4200341102

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.