| Title: | Integration of Biomarker Polygenic Risk Score Improves Prediction of Coronary Heart Disease |
| Journal: | JACC Basic to Translational Science |
| Published: | 4 Oct 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38205343/ |
| DOI: | https://doi.org/10.1016/j.jacbts.2023.07.006 |
| Citations: | 7 (7 in last 2 years) as of 8 Aug 2024 |
Publication 9427
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Abstract
There are several established biomarkers for coronary heart disease (CHD), including blood pressure, cholesterol, and lipoproteins. It is of high interest to determine how a combined polygenic risk score (PRS) of CHD-associated biomarkers (BioPRS) can further improve genetic prediction of CHD. We developed CHDBioPRS, combining BioPRS with PRS of CHD in the UK Biobank and tested it on FinnGen. We found that BioPRS was clearly predictive of CHD and that CHDBioPRS improved the standard CHD PRS. The largest effect was observed with early onset cases in FinnGen, with HRs above 2 per standard deviation of CHDBioPRS.</p>
9 Authors
- Jake Lin
- Nina Mars
- Yu Fu
- Pietari Ripatti
- Tuomo Kiiskinen
- FinnGen study
- Taru Tukiainen
- Samuli Ripatti
- Matti Pirinen
1 Application
| Application ID | Title |
|---|---|
| 22627 | Fine-mapping genotype-phenotype associations |
Enabling scientific discoveries that improve human health