Multi-Ancestral Genomic Approach to SLE-Precision Medicine

Abstract

We hypothesized that clinical heterogeneity in systemic lupus erythematosus (SLE) is partially due to genetic heterogeneity associated with SLE-risk single nucleotide polymorphisms (SNPs). We have observed considerable differences in SLE-risk allele frequencies across various race/ethnic groups, reflecting their unique microevolutionary histories. As a component of our hypothesis, we posit that unique genetic profiles across ancestral backgrounds will manifest as differences in the relative impact of key biological pathways on SLE-risk; pathways shared by all races/ethnicities but having differing magnitudes of impact at the population level. We have composed a race/ethnicity-specific and trans-race/ethnicity list of SLE-risk polymorphisms from public SLE Immunochip and GWAS studies. We have linked them to genes by function and computed intensive in silico systems biology and bioinformatic analyses across three ancestral groups (European, African, Asian). We have completed similar work using DNA methylation data. Although some pathways are shared (e.g., interferon) between SNP-associated and DNA methylation genes, the nucleic acid sensing pathway was identified in our DNA methylation study. We observed pathway differences by race/ethnicity in the SNP-associated studies; EA-dominant pathways included innate immune, myeloid cell function, and robust interferon response, AA-dominant pathways included aberrant B cell activity accompanied by ER stress and metabolic dysfunction, and Asian-dominant pathways include elevated oxidative stress, altered metabolism and mitochondrial dysfunction. Focused on these hypotheses and corresponding results, we have published two manuscripts, submitted one manuscript, and are preparing two manuscripts.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2021
Accession Number
AD1162344

Entities

People

  • Carl D. Langefeld

Organizations

  • Wake Forest University

Tags

DTIC Thesaurus Topics

  • Autoimmune Diseases
  • Cell Physiological Processes
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Chromosomes
  • Computational Biology
  • Connective Tissue Diseases
  • Genetic Variation
  • Genetics
  • Liver Diseases
  • Lymphocytes
  • Medical Personnel
  • Metabolism
  • Skin Diseases
  • Systems Biology

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Neurological Diseases/Conditions/Disorders
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Biotechnology