Publications by authors named "W G Hornsby"
Cardiac diseases represent common highly morbid conditions for which molecular mechanisms remain incompletely understood. Here we report the analysis of 1,459 protein measurements in 44,313 UK Biobank participants to characterize the circulating proteome associated with incident coronary artery disease, heart failure, atrial fibrillation and aortic stenosis. Multivariable-adjusted Cox regression identified 820 protein-disease associations-including 441 proteins-at Bonferroni-adjusted P < 8.
View Article and Find Full Text PDFEarly identification of high-risk individuals through the analysis of their unique disease trajectories has a strong potential to support efficient prevention and clinical management across a range of chronic conditions. In this paper we present a novel approach for dynamic modeling of the evolution of chronic disease risks over time, incorporating individual genetic predispositions. Our approach uses a hierarchical Bayesian topic model including Gaussian Processes to capture age effects.
View Article and Find Full Text PDFArticle Synopsis
- Polygenic risk scores (PRSs) could enhance disease risk prediction, but their current effectiveness is compromised for non-European populations, creating potential health disparities.
- The PRIMED Consortium aims to improve PRS performance by aggregating diverse genetic data on a cloud platform and evaluating ethical implications related to its implementation.
- Focused on cardiometabolic diseases and cancer, PRIMED seeks to promote equity in polygenic risk assessment through collaboration across multiple research sites and organizations.
Article Synopsis
- Researchers studied plasma proteomic profiles linked to subclinical mutations in blood cells, particularly focusing on clonal hematopoiesis of indeterminate potential (CHIP) and its connection to various health outcomes, including coronary artery disease (CAD).
- The study involved a large, diverse group of participants and identified a significant number of unique proteins associated with key driver genes, showing differences based on genetics, sex, and race.
- Methods like Mendelian randomization and mouse model tests helped clarify the causal effects of these proteins, revealing shared plasma proteins between CHIP and CAD that could inform future clinical insights.
Article Synopsis
- This study identifies and characterizes rare coding alleles linked to genetic dyslipidemia, a major risk factor for coronary artery disease, using data from over 1.1 million individuals across various ancestries.
- It discovered 800 significant variants across 209 genes, with a notable focus on non-European populations, and included a diverse cohort of participants to enhance genetic understanding.
- The findings highlight potential therapeutic targets, particularly new genes that may help lower LDL cholesterol levels, providing valuable insights for future genetic disease research and drug development.