The HERMES Consortium is an international collaboration to investigate the genetic basis of heart failure. This unique global effort currently comprises 57 population-based cohorts, case-control studies and randomized clinical trials, including over 140,000 heart failure cases.
We aim to generate insights into the causal pathways leading to heart failure to inform new therapeutic approaches. We combine large-scale genome-wide association analysis with Mendelian randomisation for causal inference and drug target validation.
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Mendelian randomization of body mass index with clinical outcomes and mortality in patients with heart failure, by LVEF subgroup
GWASHub: an automated cloud-based platform for quality control and meta-analysis of large GWAS consortia (preprint)
HERMES GWAS meta-analysis of heart failure and its subtypes in 1.9 million individuals, identifying 66 loci (37 novel)
GWAS and multi-trait analysis of dilated cardiomyopathy (14,256 cases) identifying 80 risk loci and 62 putative effector genes
Proteomics and Mendelian randomization of 90 cardiovascular proteins identify candidate drug targets for heart failure
Design and rationale of the HERMES Consortium for the genomics of heart failure
Mendelian randomization of type 2 diabetes, insulin resistance and glycaemic traits with risk of heart failure
Large-scale meta-analysis of genome-wide association studies of heart failure with 47,309 cases and 930,014 controls of European ancestry
The Metabolomics Working Group seeks to leverage the infrastructure, expertise, and cohorts of the HERMES Consortium with the overall goal of determining metabolic pathways associated with and prognostic of heart failure phenotypes and outcomes. The Metabolomics Working Group is performing meta-analyses of existing metabolomics data; harmonizing metabolomics data; and working collaboratively to identify potential funding sources for additional metabolomic profiling of available samples. The HERMES Metabolomics Working Group consists of representatives from HERMES genetics cohorts who are working together collaboratively to use human cohort data to better understand metabolic pathways in heart failure pathogenesis.