Publications by authors named "G Asselin"

Article Synopsis
  • Statins are key medications used to prevent cardiovascular disease by not only lowering lipids but also reducing inflammation, measured by C-reactive protein (CRP).
  • Two significant genetic loci linked to how individuals respond to statin treatment in terms of changes in CRP levels were identified: APOE and HNF1A, both of which are associated with various health conditions like coronary artery disease and diabetes.
  • Further analysis suggests that the APOE-E4 variant may influence the effectiveness of statins, hinting at its potential role in personalized healthcare for those with cardiovascular and related conditions.
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Aims: The Candesartan in Heart failure Assessment of Reduction in Mortality and morbidity (CHARM) programme consisted of three parallel, randomized, double-blind clinical trials comparing candesartan with placebo in patients with heart failure (HF) categorized according to left ventricular ejection fraction and tolerability to an angiotensin-converting enzyme inhibitor. We conducted a pharmacogenomic study of the CHARM trials with the objective of identifying genetic predictors of HF progression and of the efficacy and safety of treatment with candesartan.

Methods: We performed genome-wide association studies in 2727 patients of European ancestry from CHARM-Overall and stratified by CHARM study according to preserved and reduced ejection fraction and according to assignment to the interventional treatment with candesartan.

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Article Synopsis
  • The HERMES consortium is focused on understanding the genomic and molecular factors that contribute to heart failure by analyzing data from a large number of studies worldwide.
  • It includes 51 studies from 11 countries, gathering data from over 68,000 heart failure cases and nearly 950,000 controls, with broad demographic representation and long follow-up periods.
  • The main goals are to identify genetic risk factors for heart failure, explore causal pathways, and create tools to help stratify patients and predict risks based on their genetic information.
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We conducted a genome-wide association study of time to remission of COVID-19 symptoms in 1723 outpatients with at least one risk factor for disease severity from the COLCORONA clinical trial. We found a significant association at 5p13.3 (rs1173773; P = 4.

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We sought to perform a genomic evaluation of the risk of incident cancer in statin users, free of cancer at study entry. Patients who previously participated in two phase IV trials (TNT and IDEAL) with genetic data were used (n = 11,196). A GWAS meta-analysis using Cox modeling for the prediction of incident cancer was conducted in the pooled cohort and sex-stratified.

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