ArticleEuropean journal of human genetics : EJHG2024
A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease.
Article in European journal of human genetics : EJHG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Performance of Polygenic Risk Scores for Atherosclerotic Cardiovascular Disease in theCirculation. Genomic and precision medicine · 2026Article
- Clinical use of polygenic risk scores: current status, barriers and future directions.Nature reviews. Genetics · 2026Review
- Bridging Genomics to Cardiology Clinical Practice: Artificial Intelligence in Optimizing Polygenic Risk Scores: A Systematic Review.JACC. Advances · 2025Review
- The PRIMED Consortium: Reducing disparities in polygenic risk assessment.American journal of human genetics · 2024Article
- Promoting equity in polygenic risk assessment through global collaboration.Nature genetics · 2024Review
- Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning.American journal of human genetics · 2024Article
- Using exomes better.European journal of human genetics : EJHG · 2024Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Polygenic scores (PGS) for coronary heart disease (CHD) are constructed using GWAS summary statistics for CHD. However, pleiotropy is pervasive in biology and disease-associated variants often share etiologic pathways with multiple traits. Therefore, incorporating GWAS summary statistics of additional traits could improve the performance of PGS for CHD. Using lasso regression models, we developed two multi-PGS for CHD: 1) multiPGS
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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.