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genetic analysis PhD Projects, Programs & Scholarships

We have 126 genetic analysis PhD Projects, Programs & Scholarships

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  Genetics of inherited cardiovascular disease: Using molecular genetic analysis of cardiovascular disease as a tool to define disease mechanisms and therapeutic targets.
  Prof H Watkins, Prof H Ashrafian, Prof C Redwood, Prof M Farrall
Application Deadline: 26 July 2019
Using molecular genetic analysis of cardiovascular disease as a tool to define disease mechanisms and therapeutic targets.
  Methods for quantitative genetic analyses in autotetraploids
  Prof Z Luo
Applications accepted all year round
Methods for quantitative genetic analysis have been well established in almost all important diploid plants and animal including humans, and have served as essential tools for dissecting the genetic architectures underlying agronomically, evolutionarily and medically interesting quantitative and complex traits.
  Understanding the genetic and environmental risk factors that cause multiple sclerosis
  Prof L Fugger, Dr K Attfield
Application Deadline: 26 July 2019
Professor Lars Fugger leads a neuroinflammatory research group (www.ocni.co.uk), with the primary research focus being to understand the genetic and environmental risk factors that cause multiple sclerosis.
  Investigating the effect of telomere length on endothelial cell function
  Dr V Codd, Prof NJ Samani
Application Deadline: 27 January 2019
Telomeres are protein bound DNA repeat structures at the ends of eukaryotic chromosomes, Telomere length (TL) has been proposed as a marker of biological ageing and shorter TL associates with several age related diseases, including coronary artery disease (CAD).
  Statistical Genetics: Novel statistical method development for discovery and interpretation of genetic contribution to human cardiovascular and haematological traits
  Dr V Iotchkova
Application Deadline: 26 July 2019
Genetic and epidemiological research has generated a vast amount of data and expertise for evaluating the genetic contribution to human traits in health and disease.
  Genetic Epidemiology of Cardiovascular Disease: Studying genetic variation in cardiomyopathy and coronary artery disease across the entire allele frequency spectrum in order to identify causative genes and susceptibility loci.
  Prof M Farrall, Dr AG Goel
Application Deadline: 26 July 2019
Studying genetic variation in cardiomyopathy and coronary artery disease across the entire allele frequency spectrum in order to identify causative genes and susceptibility loci.
  PhD in Psychological Medicine & Clinical Neurosciences - Analysing the mechanisms underlying dystonia pathogenesis through characterisation of a Drosophila melanogaster model of Myoclonus Dystonia
  Dr K Peall, Dr O Peters
Application Deadline: 27 February 2019
ackground. Dystonia is one of the most common movement disorders, affecting ~1% of the population worldwide. Well recognised forms include writer’s cramp, although more severe forms are frequently observed.
  Understanding the role of endothelin pathway genetic variants in coronary artery disease
  Dr T Webb, Prof S Ye, Dr C Nelson
Application Deadline: 27 January 2019
Coronary artery disease (CAD), which leads to angina and heart attacks, is caused by a combination of genetic and lifestyle factors.
  Plant adaptations to wetland conditions as regulators of methane oxidation and emissions from tropical wetlands
  Dr S Sjögersten
Application Deadline: 27 January 2019
Natural wetlands are the greatest emitters of atmospheric methane. Plants are important controls of this as they can both stimulate high methane production and suppress emissions by releasing oxygen into the ground supporting bacterially mediated oxidation of methane drastically cutting emissions.
  Cardiovascular health in patients with inflammatory joint diseases: a genetic approach to understanding excess mortality
  Dr J Bowes, Prof A Barton
Applications accepted all year round
Patients with chronic inflammatory joint diseases, such as rheumatoid arthritis and psoriatic arthritis, have a higher prevalence of cardiovascular disease (CVD) which is the major contributory factor to the observed early mortality in these patient groups.
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