Observational studyBMC medicine2026
Risk stratification for endometrial cancer: independent and joint effects of polygenic risk score and body mass index in 129,829 UK Biobank participants.
Observational study in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- From polygenic risk to functional genomics: a framework for precision gynecological disease modeling.Nature communications · 2026Review
Corrections and comments
- Update of
Authors and funding
7 authors.
Funding
Abstract
backgroundAlthough obesity is a well-established risk factor for endometrial cancer, its relationship with genetic susceptibility in determining cancer risk remains unexplored. Current endometrial cancer risk prediction relies primarily on epidemiological factors, with limited consideration of genetic risk. We hypothesized that integrating polygenic risk score (PRS) information with established epidemiological factors could improve risk stratification and reveal whether genetic and lifestyle factors operate independently or jointly.
methodsWe generated a polygenic risk score for endometrial cancer in 129,829 unrelated female participants of European genetic ancestry (including 956 incident cases with endometrial cancer) in the UK Biobank cohort. We evaluated the prediction model performance using area under the receiver operating characteristic curves (AUCs) and assessed individual and joint associations of body mass index (BMI) and PRS with endometrial cancer using Cox proportional hazards models.
resultsThe integrated model incorporating PRS and epidemiological risk factors achieved statistically significant improvement in predicting endometrial cancer compared with epidemiologic factors alone (AUC = 0.739 versus 0.728; P = 3.98 × 10
conclusionsIntegrating PRS with epidemiological risk factors provides potential for enhanced endometrial cancer risk stratification. PRS effects persist independently of BMI, suggesting genetic risk assessment could complement current screening approaches focused on Lynch Syndrome and identify additional high-risk individuals for targeted prevention strategies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.