Genomics and Data Science

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 Group
Bioinformatics and AI approaches for cardiovascular, trauma, inflammatory diseases and multimorbidity.

Bell Group
Epigenomic/Functional Genomics in Cardiometabolic & Ageing Related Diseases.

Brown Group
Primary Aldosteronism: Molecular pathogenesis and novel interventions.

Cabrera Group
Bioinformatics in genomic medicine.

Cacheiro Group
Analysis and interpretation of molecular, model organism, and human phenotypes to inform on Mendelian disease.

Caulfield Group
Cardiovascular genomics and cardiovascular clinical research.

Cipriani Group
Genetic determinants of complex and rare Mendelian human diseases.

Deloukas Group
Genetics of cardio-metabolic traits - heart disease and lipids.

Kanoni Group
Multi-modal approaches for precision medicine in cardiovascular diseases.

Marouli Group
Digital health and health data science for precision medicine.

Munroe Group
Molecular studies of cardiac arrhythmia’s, hypertension and heart failure.

Naderi Group
Dr Naderi’s research investigates the determinants underlying adverse cardiac remodelling in hypertension from multi-dimensional data using machine learning.