Observational studyBMC cancer2026
Polygenic risk scores, adiposity, and disease transition in type 2 diabetes and colorectal cancer comorbidity: a population-based Chinese cohort study.
Observational study in BMC cancer, 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 molecular mechanisms to digital surveillance: the 2010-2025 evolution of benzodiazepine and Z-drug misuse research.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundThe co-occurrence of type 2 diabetes (T2D) and colorectal cancer (CRC) represents an increasing public health concern, contributing to greater clinical complexity and poorer outcomes. This study aimed to evaluate whether polygenic risk scores (PRS) for T2D and CRC are associated with the risk of T2D-CRC comorbidity and to investigate their potential interaction with body mass index (BMI).
methodsA Chinese cohort comprising four groups was analyzed, including individuals with both T2D and CRC (n = 202), T2D_only (n = 203), CRC_only (n = 199), and controls (n = 201). Ancestry-matched genome-wide association study data were used to construct PRS for T2D and CRC. Associations between genetic risk, adiposity, and disease status were assessed using multinomial logistic regression and multi-state models.
resultsIndividuals with T2D-CRC comorbidity exhibited higher PRS for both T2D and CRC compared with controls. In multinomial analyses, T2D PRS showed a borderline association with isolated CRC risk (OR = 1.24, P = 0.046). BMI significantly modified the association between CRC genetic liability and CRC risk (OR = 1.75, 95% CI: 1.27-2.34; P for interaction = 0.033), with stronger effects observed among overweight individuals. Multi-state modeling suggested that CRC genetic liability was associated with a higher hazard of transition from T2D to comorbidity (HR = 1.21, P = 0.037, FDR q = 0.150). Furthermore, individuals in the highest CRC PRS group showed a higher modeled probability of progressing to comorbidity by age 80 compared with those at lower genetic risk in exploratory cumulative risk analyses.
conclusionsGenetic susceptibility to both T2D and CRC, together with adiposity, may help identify individuals at higher risk of developing comorbidity. Integrating PRS with BMI may provide a useful approach for risk stratification and support targeted prevention strategies in populations at elevated risk.
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.