Emma Somerville

Graduate Trainee, National Institute on Aging (NIH - NIA)

1 active project

Drug_SNP_controlled_tier

Investigating drug-SNP interactions in neurodegenerative disorders (NDDs) holds immense promise for personalized treatment strategies, risk assessment of adverse drug reactions, and advancing drug discovery. Understanding these interactions can revolutionize NDD treatment, leading to improved patient outcomes and enhanced quality of…

Scientific Questions Being Studied

Investigating drug-SNP interactions in neurodegenerative disorders (NDDs) holds immense promise for personalized treatment strategies, risk assessment of adverse drug reactions, and advancing drug discovery. Understanding these interactions can revolutionize NDD treatment, leading to improved patient outcomes and enhanced quality of life.

Project Purpose(s)

  • Drug Development
  • Methods Development
  • Ancestry

Scientific Approaches

Datasets: All of Us cases with neurodegenerative diseases: Multiple sclerosis, amyotrophic lateral sclerosis, vascular, Alzheimer's, Parkinson's, dementia vs neurological healthy controls. Research methods: -regression analysis snp*drug interaction -cox regression -PRS scores Tools: - Python - R - Plink - maybe annotation tools like annovar

Anticipated Findings

Anticipated Findings 1. Identification of novel SNPs associated with drug response in NDDs 2. Validation of previously reported drug-SNP interactions 3. Characterization of SNP-drug interaction mechanisms 4. Development of predictive models for drug response to see how people with a specific genetic makeup respond to specific drugs Contribution to Scientific Knowledge 1. Personalized Medicine: contribute to the growing field of personalized medicine by providing genetic insights into drug response in NDDs. 2. NDD Treatment Optimization: optimization of drug treatment regimens for NDDs, potentially leading to improved efficacy, reduced adverse effects, and enhanced patient quality of life. 3. NDD Pathophysiology: identifying genetic factors that influence disease progression and response to treatment. 4. Pharmacogenomics: providing novel insights into the role of genetics in modulating drug response, particularly in the context of NDDs.

Demographic Categories of Interest

  • Age

Data Set Used

Controlled Tier

Research Team

Owner:

  • Vanessa Pitz - Research Fellow, National Institute on Aging (NIH - NIA)
  • Hampton Leonard - Graduate Trainee, National Institute on Aging (NIH - NIA)
  • Emma Somerville - Graduate Trainee, National Institute on Aging (NIH - NIA)
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