Dr Christopher P Nelson

Lecturer in Cardiovascular Genetic Epidemiology

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

Email: cn46@le.ac.uk

Tel: +44 (0)116 204 4745

Personal Details

Website:

Publications

Mellor G, Nelson CP, et al. The Prevalence and Significance of the Early Repolarization Pattern in Sudden Arrhythmic Death Syndrome Families. Circulation: Arrhythmia and Electrophysiology. 2016; Epub ahead of print.

Nelson CP, Hamby SE, et al. Genetically Determined Height and Coronary Artery Disease. New England Journal of Medicine. 2015; 372: 1608-1618.

Nelson CP, Schunkert H, Samani NJ, Erridge C. Genetic Analysis of Leukocyte Type-I Interferon Production and Risk of Coronary Artery Disease. Arteriosclerosis, Thrombosis, and Vascular Biology. 2015; 35(6): 1456-62.

Dick KJ, Nelson CP, et al. DNA methylation and body-mass index: a genome-wide analysis. The Lancet. 2014; 383: 1990-1998.

Alahmar AE, Nelson CP, et al. Resuscitated cardiac arrest and prognosis following myocardial infarction. Heart. 2014; 100: 1125-1132.

Codd V, Nelson CP, Albrecht E, Mangino M, et al. Identification of seven loci affecting mean telomere length and their association with disease. Nature Genetics. 2013; 45: 422-427.

Bloomer LD, Nelson CP, et al. Male-Specific Region of the Y Chromosome and Cardiovascular Risk: Phylogenetic Analysis and Gene Expression Studies. Arteriosclerosis, Thrombosis, and Vascular Biology. 2013; 33(7): 1722-1727.

Huertas-Vazquez A, Nelson CP, et al. Novel Loci associated with increased risk of sudden cardiac death in the context of coronary artery disease. PLoS One. 2013; 8: e59905.

Charchar FJ, Bloomer LDS, Barnes TA, Cowley MJ, Nelson CP, et al. Inheritance of coronary artery disease in men: an analysis of the role of the Y chromosome. The Lancet. 2012; 379: 915-922.

Shah S, Nelson CP, Gaunt TR, et al. Four genetic loci influencing electrocardiographic indices of left ventricular hypertrophy. Circulation: Cardiovascular Genetics. 2011; 4: 626-635.

Nelson CP, Lambert PC, Squire IB, Jones DR. Flexible parametric models for relative survival, with application in coronary heart disease. Statistics in Medicine. 2007; 26: 5486-5498.

Research

  • Study of the genetic variation underlying cardiovascular disease and related traits via:
    • Genome wide association studies
    • Genome wide transcriptome analysis
    • Mendelian randomisation
    • Collapsing statistics
    • Runs of homozygosity
    • Pathway analysis
    • Genome wide Meta-analyses of genetic data
    • Whole genome imputation
    • Gene-gene interactions
    • Work on sex-chromosomes including Y-haplogroups
    • Genome wide methylation data
  • 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

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