ArticleNature communications2024
A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development and validation of a multiancestry and multitrait polygenic risk score for lung cancer.Nature communications · 2026Pooled it
- Refining the Genetic Contribution to Type 2 Diabetes Subtypes.Diabetes, obesity & metabolism · 2026Article
- Combining genome-wide polygenic scores with registry data for colorectal cancer risk-based screening.British journal of cancer · 2026Article
- HS-GC/MS-Based Targeted Blood VOC Panel for Canine Cancer Screening Using an Integrated Classification Framework in Retrospective Korea and Thailand Cohorts.International journal of molecular sciences · 2026Article
- Evaluating a Genome-Wide Polygenic Score for Handgrip Strength and Its Interplay with Leisure-Time Physical Activity Across the IGEMS Twin Cohorts.Medicine and science in sports and exercise · 2026Article
- Pervasive interactions between exposures and polygenic risk can inform more effective clinical and behavioral interventions.Nature genetics · 2026Article
- Association and risk prediction of 19 complex diseases with polygenic scores and socioeconomic status.Communications medicine · 2026Article
- Multiomics for Risk Stratification in Atherosclerotic Cardiovascular Disease.Circulation. Genomic and precision medicine · 2026Review
- KANN: estimation of genetic ancestry profiles by nearest neighbor regression.Nucleic acids research · 2026Article
- Performance of different polygenic risk scores for breast cancer risk prediction: in-depth evaluations across large UK and Australian cohorts.European journal of human genetics : EJHG · 2026Article
- Preventing premature deaths through polygenic risk scores.Nature communications · 2026Article
- Preclinical Diagnosis of Type 1 Diabetes: Reality or Utopia.Biomedicines · 2025Review
- The impact of polygenic score and socioeconomic status in predicting risk for 19 complex diseases.medRxiv : the preprint server for health sciences · 2025Article
- Genomic risk prediction for type 2 diabetes in Australian individuals aged 70 years and older.Diabetes, obesity & metabolism · 2025Article
- Cross-biobank generalizability and accuracy of electronic health record-based predictors compared to polygenic scores.Nature genetics · 2025Article
- Bottlenecks in advancing and applying multiomic data integration-common data resources as rate-limiting drivers-the high-impact use case of atherosclerotic cardiovascular disease.Briefings in bioinformatics · 2025Review
- Polygenic Score Complements Family History and Lynch Syndrome Genes for Predicting Colorectal Cancer Risk.JCO precision oncology · 2025Article
- Incorporating genetic data improves target trial emulations and informs the use of polygenic scores in randomized controlled trial design.Nature genetics · 2025Article
- Understanding and applying gene-environment interactions: a guide for nutrition professionals with an emphasis on integration in African research settings.Nutrition reviews · 2025Review
- Perceived risk of type 2 diabetes: Using linked genomic, clinical and questionnaire data to understand the potential use of genetic risk tools in British South Asians.PLOS global public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors.
Funding
Abstract
Polygenic scores (PGSs) offer the ability to predict genetic risk for complex diseases across the life course; a key benefit over short-term prediction models. To produce risk estimates relevant to clinical and public health decision-making, it is important to account for varying effects due to age and sex. Here, we develop a novel framework to estimate country-, age-, and sex-specific estimates of cumulative incidence stratified by PGS for 18 high-burden diseases. We integrate PGS associations from seven studies in four countries (N = 1,197,129) with disease incidences from the Global Burden of Disease. PGS has a significant sex-specific effect for asthma, hip osteoarthritis, gout, coronary heart disease and type 2 diabetes (T2D), with all but T2D exhibiting a larger effect in men. PGS has a larger effect in younger individuals for 13 diseases, with effects decreasing linearly with age. We show for breast cancer that, relative to individuals in the bottom 20% of polygenic risk, the top 5% attain an absolute risk for screening eligibility 16.3 years earlier. Our framework increases the generalizability of results from biobank studies and the accuracy of absolute risk estimates by appropriately accounting for age- and sex-specific PGS effects. Our results highlight the potential of PGS as a screening tool which may assist in the early prevention of common diseases.
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.