ArticleFrontiers in genetics2021
An Improved Genome-Wide Polygenic Score Model for Predicting the Risk of Type 2 Diabetes.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled 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.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Meta-analysis of genome-wide association studies uncovers shared candidate genes across breeds for pig fatness trait.BMC genomics · 2022Pooled it
- Early-life exposures, biological age acceleration, and type 2 diabetes in adulthood: mediation analyses in the UK Biobank.GeroScience · 2026Article
- Widespread and Biologically Driven Sex Disparities in Polygenic Risk Prediction Across Complex Traits.Research square · 2026Article
- A deep ensemble encoder network method for improved polygenic risk score prediction.BioData mining · 2026Article
- Severity of effect considerations regarding the use of mutation as a toxicological endpoint for risk assessment: A report from the 8th International Workshop on Genotoxicity Testing (IWGT).Environmental and molecular mutagenesis · 2025Review
- Comparison of polygenic risk scores for type 2 diabetes developed from different ancestry groups.npj metabolic health and disease · 2025Article
- Exploring the Genetic Relationship Between Type 2 Diabetes and Cardiovascular Disease: A Large-Scale Genetic Association and Polygenic Risk Score Study.Biomolecules · 2024Article
- Developing a Polygenic Risk Score with Age and Sex to Identify High-Risk Myopia in Taiwan.Biomedicines · 2024Article
- A Polygenic Score Predicts Caries Experience in Elderly Swedish Adults.Journal of dental research · 2024Article
- Utility of polygenic scores across diverse diseases in a hospital cohort for predictive modeling.Nature communications · 2024Article
- The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population.Scientific reports · 2024Article
- Article
- Plasma microRNA Profiling in Type 2 Diabetes Mellitus: A Pilot Study.International journal of molecular sciences · 2023Article
- Birthweight, genetic risk, and gastrointestinal cancer incidence: a prospective cohort study.Annals of medicine · 2023Article
- Clinical utility of polygenic risk scores: a critical 2023 appraisal.Journal of community genetics · 2023Article
- Stratified genome-wide association analysis of type 2 diabetes reveals subgroups with genetic and environmental heterogeneity.Human molecular genetics · 2023Article
- The necessity of incorporating non-genetic risk factors into polygenic risk score models.Scientific reports · 2023Article
- Genetics of psycho-emotional well-being: genome-wide association study and polygenic risk score analysis.Frontiers in psychiatry · 2023Article
- GWAS reveals genetic basis of a predisposition to severe COVID-19 throughFrontiers in medicine · 2023Article
- Analysis of ancestry-specific polygenic risk score and diet composition in type 2 diabetes.PloS one · 2023Article
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 at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polygenic risk score (PRS) has been shown to be predictive of disease risk such as type 2 diabetes (T2D). However, the existing studies on genetic prediction for T2D only had limited predictive power. To further improve the predictive capability of the PRS model in identifying individuals at high T2D risk, we proposed a new three-step filtering procedure, which aimed to include truly predictive single-nucleotide polymorphisms (SNPs) and avoid unpredictive ones into PRS model. First, we filtered SNPs according to the marginal association
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.