Dr Christopher P Nelson

Associate Professor in Cardiovascular Genetic Epidemiology

Dr_Nelson_HeadshotDepartment of Cardiovascular Sciences
University of Leicester
Cardiovascular Research Centre
Glenfield General Hospital
Leicester, LE3 9QP.

Email: chris.p.nelson@leicester.ac.uk

Tel: +44 (0)116 204 4745



Personal Details

  • Fellow of the Higher Education Academy
  • Senior editor at Annals of Human Genetics


Research Interests

  • Study of the genetic variation underlying cardiovascular disease, leucocyte telomere length and related traits via:
    • Genome wide association studies
    • Polygenic scores
    • Gene-environment interactions
    • Mendelian randomisation
    • Genome wide transcriptome analysis
    • Gene-based testing
    • Gene-gene interactions
    • Work on sex-chromosomes including Y-haplogroups and sex-specific effects
  • Healthy ageing and the investigation of frailty
  • Development and application of statistical genetics methods in complex diseases and traits, specifically this includes methods for big data analyses
  • The development and application of Mendelian randomisation methodologies
  • Statistical lead for the UK Biobank leucocyte telomere length project. Co-leading this work with Dr Veryan Codd




Selected Publications

  • Sun L, Pennells L, Kaptoge S, Nelson CP, et al. (2021) Use of polygenic risk scores and other molecular markers to enhance cardiovascular risk prediction: prospective cohort study and modelling analysis. PLoS Medicine. doi: 10.1371/journal.pmed.1003498
  • Nelson CP, et al. (2020) Genetic Associations With Plasma Angiotensin Converting Enzyme 2 Concentration: Potential Relevance to COVID-19 Risk.  Circulation. 142:1117-1119. doi: 10.1161/CIRCULATIONAHA.120.049007
  • Li C, et al.  (2020) Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length. American Journal of Human Genetics. 106:389-404. doi: 10.1016/j.ajhg.2020.02.006
  • Newcombe PJ, Nelson CP, Samani NJ, Dudbridge F. (2019). A flexible and parallelizable approach to genome-wide polygenic risk scores. Genetic Epidemiology. 43:730-741. doi: 10.1002/gepi.22245
  • Nelson CP, Lai, F. Y., Nath, M., Ye, S., Webb, T. R., Schunkert, H., & Samani, N. J. (2019). Genetic Assessment of Potential Long-Term On-Target Side Effects of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) Inhibitors. Circulation. Genomic and Precision medicine. 12(1), e002196.
  • Nelson CP & Erridge C. (2019). Are toll-like receptors potential drug targets for atherosclerosis? Evidence from genetic studies to date. Immunogenetics, 71(1), 1-11. doi:10.1007/s00251-018-1092-0
  • Inouye M, Abraham G, Nelson CP, et al. (2018) Genomic risk prediction of coronary artery disease in 480,000 adults: implications for primary prevention. Journal of the American College of Cardiology. 72:1883-1893. doi:10.1016/j.jacc.2018.07.079
  • Nelson CP, Goel A, Butterworth AS, Kanoni S, et al. (2017) Association analyses based on false discovery rate implicate new loci for coronary artery disease. Nature Genetics. 49:1385-1391. doi:10.1038/ng.3913
  • Saleheen D, Zhao W, Young R, Nelson CP, et al. (2017).  Loss of Cardioprotective Effects at the ADAMTS7 Locus as a Result of Gene-Smoking Interactions. Circulation. 135:2336-2353. doi:10.1161/CIRCULATIONAHA.116.022069
  • Mellor G, Nelson CP, et al. (2016). The Prevalence and Significance of the Early Repolarization Pattern in Sudden Arrhythmic Death Syndrome Families. Circulation-Arrhythmia and Electrophysiology, 9(6), 11 pages. doi:10.1161/CIRCEP.116.003960
  • Nelson CP, Hamby SE, et al. (2015). Genetically Determined Height and Coronary Artery Disease. New England Journal of Medicine. 372: 1608-1618. doi:10.1056/NEJMoa1404881
  • Nelson CP, Schunkert H, Samani NJ, Erridge C. (2015). Genetic Analysis of Leukocyte Type-I Interferon Production and Risk of Coronary Artery Disease. Arteriosclerosis, Thrombosis, and Vascular Biology. 35(6): 1456-62. doi:10.1161/ATVBAHA.114.304925
  • Dick KJ, Nelson CP, et al. (2014). DNA methylation and body-mass index: a genome-wide analysis. The Lancet. 383: 1990-1998. doi:10.1016/S0140-6736(13)62674-4
  • Alahmar AE, Nelson CP, et al. (2014). Resuscitated cardiac arrest and prognosis following myocardial infarction. Heart. 100: 1125-1132. doi:10.1136/heartjnl-2014-305696
  • Codd V, Nelson CP, Albrecht E, Mangino M, et al. (2013). Identification of seven loci affecting mean telomere length and their association with disease. Nature Genetics. 2013; 45: 422-427. doi:10.1038/ng.2528
  • Bloomer LD, Nelson CP, et al. (2013). Male-Specific Region of the Y Chromosome and Cardiovascular Risk: Phylogenetic Analysis and Gene Expression Studies. Arteriosclerosis, Thrombosis, and Vascular Biology. 33(7): 1722-1727. doi:10.1161/ATVBAHA.113.301608
  • Charchar FJ, Bloomer LDS, Barnes TA, Cowley MJ, Nelson CP, et al. (2012). Inheritance of coronary artery disease in men: an analysis of the role of the Y chromosome. The Lancet. 379: 915-922. doi:10.1016/S0140-6736(11)61453-0
  • Shah S, Nelson CP, Gaunt TR, et al. (2011). Four genetic loci influencing electrocardiographic indices of left ventricular hypertrophy. Circulation: Cardiovascular Genetics. 2011; 4: 626-635. doi:https://doi.org/10.1161/CIRCGENETICS.111.960203
  • Lambert PC, Dickman PW, Nelson CP, Royston P. (2010). Estimating the crude probability of death due to cancer and other causes using relative survival models. Statistics in Medicine. 29;885-895. doi:10.1002/sim.3762
  • Nelson CP, Lambert PC, Squire IB, Jones DR. (2008). Relative survival: what can cardiovascular disease learn from cancer? European Heart Journal. 29:941-947. doi:10.1093/eurheartj/ehn079
  • Nelson CP, Lambert PC, Squire IB, Jones DR. (2007). Flexible parametric models for relative survival, with application in coronary heart disease. Statistics in Medicine. 26: 5486-5498. doi:10.1002/sim.3064


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