Gregory Gibbs and Loni Taylor, students in the Meharry SACS Biomedical Data Science Ph.D. program, have published an abstract in the BMC proceedings of the 4th National Big Data Health Science Conference, 2023.
The abstract, “Race and risk: a bioinformatic analysis of Alzheimer’s disease,” covers their study of the differences in alleles and gene data for Apoliprotein E (APOE) of individuals who are of African descent in comparison with the entire population. Their analysis found a significant difference in the onset of disease by race for alleles and genotypes.
This is the first published abstract in a major publication for both students.
Taylor had presented the study at the National Big Data Health Science Conference at the University of South Carolina. She eagerly checked online for the published abstract and excitedly shared it with her colleagues.
Gregory, who is a data scientist at the Comprehensive Center for Brain Health at the University of Miami Miller School of Medicine, plans to pursue additional studies on African Americans and dementia.
“I am in the process of collecting more proteomic data from African American participants at my current job,” says Gregory. “I am interested in pursuing future projects that involve African American data with respect to dementia and cognitive impairment.”