A Multifactorial Approach to Understanding the Impact of Genetic and Social Structures on Lung Cancer Disparities
The goal of this research is to develop a comprehensive model that incorporates genetic, epigenetic, and social factors to predict lung cancer progression in diverse populations. Utilizing data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial,
1. Analyze the combined impact of genomic and epigenomic factors with social determinants on lung cancer development and progression using advanced analytics and machine learning.
2. Study SNP interactions with epigenetic and social factors affecting lung cancer subtype progression.
3. Examine gene expression and methylation interplay with genetic and social factors in lung cancer subtypes.
Jing Jin, PhD - University of Arkansas for Medical Sciences
Yasir Rahmatallah, PhD - University of Arkansas for Medical Sciences
Mark Park, PhD - University of Arkansas for Medical Sciences
Maher Alsaadi MPH - University of Arkansas for Medical Sciences