Researchers in the Genomics and Data Science group include international experts in genetics, epigenetics and computational biology for gene discovery of a wide range of rare Mendelian disorders and common, multifactorial diseases. Our particular focus is on cardiovascular, endocrine, inflammatory diseases and age-related conditions.
We are multi-disciplinary using a variety of cutting-edge approaches including statistical genetics, bioinformatics, machine learning, data science, pharmacogenetics, and functional laboratory techniques including transcriptomics, stem-cell and gene-editing. We cover the full translational pathway from genotype-phenotype correlations, risk prediction, and disease mechanism, diagnosis and therapeutic development.
Barnes GroupBioinformatics and AI approaches for cardiovascular, trauma, inflammatory diseases and multimorbidity.
Bell GroupEpigenomic/Functional Genomics in Cardiometabolic & Ageing Related Diseases.
Brown GroupPrimary Aldosteronism: Molecular pathogenesis and novel interventions.
Cabrera GroupBioinformatics in genomic medicine.
Caulfield GroupCardiovascular genomics and cardiovascular clinical research.
Cacheiro Group Analysis and interpretation of molecular, model organism, and human phenotypes to inform on Mendelian disease.
Cipriani GroupGenetic determinants of complex and rare Mendelian human diseases.
Deloukas GroupGenetics of cardio-metabolic traits - heart disease and lipids.
Kanoni GroupMulti-modal approaches for precision medicine in cardiovascular diseases.
Marouli GroupDigital health and health data science for precision medicine.
Munroe GroupMolecular studies of cardiac arrhythmia’s, hypertension and heart failure.
Smedley GroupComputational biology analysing genomic and phenotype data for rare diseases.
Timmons Group RNA in human aging, common chronic diseases and exercise.
Tucci Group
Warren GroupGenetic discovery of cardiovascular traits and pharmacogenetics.
Young GroupGenomics of cardiac electrophysiology and arrhythmia mechanisms.