Integrating Environmental, Genomic, and Functional Data to Characterize Individual Risk for Parkinson's Disease

Abstract

The overall purpose of this work is to characterize which individuals may be susceptible to specific toxic insults, and the underlying mechanisms. We have three Aims: 1) use iPSC-derived neuronal cell lines to validate and extend our prior work that found an 11-fold increased risk of Parkinson's disease (PD) in persons exposed to the herbicide paraquat who lacked functional glutathione-S-transferase T1 (GSTT1), a key metabolic enzyme with anti-oxidant function; 2) perform whole genome sequencing of existing DNA specimens from a PD study with highly characterized pesticide exposures, using bioinformatic tools to identify likely functional gene-environment interactions; and 3) test our predictions using iPSC-derived neuronal cell lines that model these genetic variations, and exposing cellular lines to these same environmental agents. This is a partnering PI project with W81XWH-20-1-0710. The scope of project -0709 is to accomplish Aim 2, and is the focus of this report.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2023
Accession Number
AD1214656

Entities

People

  • Samuel M. Goldman

Organizations

  • Northern California Institute for Research and Education

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Research
  • Cell Line
  • Cells
  • Culture Techniques
  • Data Analysis
  • Demographic Cohorts
  • Dermatologic Agents
  • Dieldrin
  • Diseases
  • Electronic Mail
  • Genes
  • Genetics
  • Machine Learning
  • Medical Personnel
  • Movement Disorders
  • Neurodegeneration
  • Neurons
  • Parkinson'S Disease
  • Pesticides
  • Preventive Medicine
  • Public Health
  • Whole Genome Sequencing

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology