| Reaching the end-game for GWAS: machine learning approaches for the prioritization of complex disease loci HL Nicholls, CR John, DS Watson, PB Munroe, MR Barnes, CP Cabrera Frontiers in genetics 11, 350, 2020 | 152 | 2020 |
| Over 1000 genetic loci influencing blood pressure with multiple systems and tissues implicated CP Cabrera, FL Ng, HL Nicholls, A Gupta, MR Barnes, PB Munroe, ... Human Molecular Genetics 28 (R2), R151-R161, 2019 | 58 | 2019 |
| Hypertension genetics past, present and future applications KJ Olczak, V Taylor‐Bateman, HL Nicholls, M Traylor, CP Cabrera, ... Journal of internal medicine 290 (6), 1130-1152, 2021 | 45 | 2021 |
| Prevalence, cardiac phenotype, and outcomes of transthyretin variants in the UK Biobank population N Aung, HL Nicholls, CAA Chahal, MY Khanji, E Rauseo, S Chadalavada, ... JAMA cardiology 9 (11), 964-972, 2024 | 3 | 2024 |
| Post-GWAS machine learning prioritizes key genes regulating blood pressure H Nicholls, FL Ng, D Watson, J Jacobsen, H Warren, P Cacheiro, ... | 1 | 2023 |
| The impact of multimorbidity on cardiac remodelling in the UK Biobank V Shyam-Sundar, H Nicholls, S Chadalavada, J Vargas, G Slabaugh, ... European Heart Journal 45 (Supplement_1), ehae666. 248, 2024 | | 2024 |
| 14 A single centre retrospective study of patients presenting with acute forms of myocarditis: insights from clinical and cardiac MRI data V Shyam-Sundar, H Nicholls, D Harding, G Slabaugh, S Mohiddin, ... Heart 110 (Suppl 3), A17-A18, 2024 | | 2024 |
| Machine Learning Approaches for the Prioritisation of Cardiovascular Disease Genes Following Genome-wide Association Study H Nicholls | | 2023 |
| Hypertension: Over 1,000 genetic loci influencing blood pressure with multiple systems and tissues implicated CP Cabrera, FL Ng, HL Nicholls, A Gupta, MR Barnes, PB Munroe, ... | | |
