or
Continue with FacebookLooking to list your PhD opportunities? Log in here.
smoking PhD Projects, Programmes & Scholarships
We have 13 smoking PhD Projects, Programmes & Scholarships
Identifying causal pathways to disease using DNA methylation derived scores.
Rationale. DNA methylation is an epigenetic biomarker that has been shown to reflect lifestyle and biological factors (smoking, alcohol use, chronological age). Read more
Harnessing the genetics of DNA methylation to understand context-specific gene regulation in disease
Project Background. Genome wide association studies (GWAS) have discovered many genetic associations with health outcomes. However, most GWAS signals reside in non-coding regions and it is likely that GWAS variants confer their effects through a regulatory mechanism. Read more
Harnessing the genetics of DNA methylation to understand context-specific gene regulation in disease
Genome wide association studies (GWAS) have discovered many genetic associations for traits and diseases. However, most GWAS signals reside in non-coding regions (outside genes), and it is likely that GWAS variants confer their effects through modulating regulatory mechanism. Read more
Health PhD
As a PhD student in the Department for Health at Bath you will have the opportunity to undertake original, in-depth research under expert supervision working in one of the top rated research Universities in the UK. Read more
The development and evaluation of a social cooking intervention in places of worship
Background. People from South Asian ethnicity (SA) constitute 9.3% of the population in the most recent census data for the United Kingdom. Read more
Developing and testing indicators to enhance the quality and safety of care in professional community pharmacy services
The increasing demand for healthcare services, combined with a declining number of general practitioners (GPs), has led to heightened workload pressures on general practices. Read more
Investigating the genetic architecture of orofacial cleft: A genome-wide association study using trio data and an investigation of parent of origin and mother-children interaction effects.
Rationale. Orofacial clefts (OFCs) are the most prevalent craniofacial congenital disabilities globally, occurring at a frequency of 1 out of 700 newborns. Read more
Integration of transactional and Ecological Momentary Assessment data for cancer risk factor prediction
Rationale. Shopping history records, collected via purchases tracked on loyalty cards, can provide a new perspective on lifestyle choices and behaviours and how these relate to health outcomes such as cancer. Read more
Identifying metabolic drivers of cancer development
Rationale. Growing evidence suggests that cell extrinsic factors are key in modulating tumor progression. Metabolites are small molecules that act as sources of fuel and building blocks essential for cells and tissues when present at normal levels. Read more
Identifying causal pathways to disease using DNA methylation predicted blood traits.
Project Background. Blood cell types have been implicated in pathogenesis of chronic diseases. Genome wide association studies have identified thousands of variants associated with blood trait variation. Read more
Identifying cognitive and biochemical changes underlying lifestyle risk factors for dementia
Research Group:
Pharmacology and Experimental Therapeutics
Dementia describes a group of age-associated conditions of which cognitive decline is a major feature. Alzheimer’s disease (AD) is the most common cause of dementia and is characterised by the onset of a gradual cognitive decline. Read more
Cancer biology: identification of new treatment options for EML4-ALK driven lung cancer through understanding mechanisms of cell division and migration.
Lung cancer is the largest cause of cancer-related deaths in the UK and worldwide. While little progress has been made in long-term survival rates, we now have a good understanding of the genetic drivers raising the prospect of earlier diagnosis and more effective treatments. Read more
Repurposing and enriching cardiovascular risk prediction model to identify people at risk of cancer – UCL (part of Health Data Research UK’s Big Data for Complex Disease Driver Programme)
Risk-stratified management of cardiovascular disease (CVD), where people without established disease receive preventative interventions and monitoring based on their 10-years predicted risk, has been highly successful to ensure healthcare resources are allocated to those most likely to benefit. Read more
- 1