Genome‐wide transcriptome differences associated with perceived discrimination in an urban, community‐dwelling middle‐aged cohort
Natasha L. Pacheco, Nicole Noren Hooten, Sharon F. Wu, Maame Mensah‐Bonsu, Yongqing Zhang, Kumaraswamy Naidu Chitrala, Supriyo De, Nicolle A. Mode, Ngozi Ezike, Danielle L. Beatty Moody, Alan B. Zonderman, Michele K. EvansAbstract
Discrimination is a social adversity that is linked to several age‐related outcomes. However, the molecular drivers of these observations are poorly understood. Social adverse factors are associated with proinflammatory and interferon gene expression, but little is known about whether additional genes are associated with discrimination among both African American and White adults. In this study, we examined how perceived discrimination in African American and White adults was associated with genome‐wide transcriptome differences using RNA sequencing. Perceived discrimination was measured based on responses to self‐reported lifetime discrimination and racial discrimination. Differential gene expression and pathway analysis were conducted in a cohort (N = 59) stratified by race, sex, and overall discrimination level. We found 28 significantly differentially expressed genes associated with race among those reporting high discrimination. Several of the upregulated genes for African American versus White adults reporting discrimination were related to immune function IGLV2‐11, S100B, IGKV3‐20, and IGKV4‐1; the most significantly downregulated genes were associated with immune modulation and cancer, LUCAT1, THBS1, and ARPIN. The most enriched gene ontology biological process between African American and White men reporting high discrimination was the regulation of cytokine biosynthetic processes. The immune response biological process was significantly lower for African American women compared to White women reporting high discrimination. Discrimination was associated with the expression of small nucleolar RNAs, long noncoding RNAs, and microRNAs associated with energy homeostasis, cancer, and actin. Understanding the pathways through which adverse social factors like discrimination are associated with gene expression is crucial in advancing knowledge of age‐related health disparities.