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Abstract Number: 0637

DNA Methylation Patterns Differ Between Genetically Similar Systemic Lupus Erythematosus (SLE) Patients From Peru and the U.S.

Sundus Dwidar1, Mary Horton2, Meghan Nelson3, Joanne Nititham2, Richard Oppong3, Frank Donovan4, Jinoos Yazdany5, Maria Dall'Era6, Lisa Barcellos7, Heinner Guio8, Manuel Ugarte-Gil9, Lindsey Criswell2 and Cristina Lanata10, 1National Institutes of Health, Washington, 2NIH/NHGRI, Bethesda, MD, 3National Institutes of Health, Bethesda, MD, 4National Institutes of Health, Bethesda, 5UCSF, San Francisco, CA, 6Division of Rheumatology, University of California, San Francisco, CA, 7UC Berkeley, Berkeley, 8Universidad de Huanuco, Lima, Peru, 9Grupo Peruano de Estudio de Enfermedades Autoinmunes Sistémicas, Universidad Científica del Sur, Lima, Peru; Hospital Guillermo Almenara Irigoyen, EsSalud, Lima, Peru, Lima, Peru, 10NIH/NHGRI, Bethesda

Meeting: ACR Convergence 2025

Keywords: Bioinformatics, Epigenetics, Systemic lupus erythematosus (SLE)

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Session Information

Date: Sunday, October 26, 2025

Title: (0593–0640) Systemic Lupus Erythematosus – Diagnosis, Manifestations, & Outcomes Poster I

Session Type: Poster Session A

Session Time: 10:30AM-12:30PM

Background/Purpose: Systemic lupus erythematosus (SLE) is an autoimmune disease that disproportionately affects individuals of Amerindian ancestry and those who self-identify as Hispanic. The term “Hispanic” encompasses diverse populations, genetic backgrounds, and environments, making it challenging to understand the drivers of disease disparities. Since DNA methylation (DNAm) is shaped by genetic and environmental factors, it may help disentangle these influences. We aim to assess whether DNAm differs between genetically similar SLE individuals living in Peru and the U.S.

Methods: We utilized whole blood genotype and methylation data from SLE cohorts in the U.S. (n=1,671) and Peru (n=74). We used principal component analysis (PCA), including genetic data from the 1000 Genomes and Peruvian Genome Project, to identify genetically similar individuals.We selected individuals within 1.75 standard deviations of the Peruvian population centroid based on the first three principal components (PCs). DNAm was profiled using the Illumina EPIC v2.0 array. After quality control and normalization, 801,370 CpG sites were retained. We linearly modeled differential methylation by country (U.S. vs. Peru) using limma, adjusting for age, disease duration, estimated blood cell proportions, and genetic PCs 1–3. Pathway analyses was performed using missMethyl.

Results: We identified genetically similar Peruvian (n=64) and U.S. individuals (n=86). Results showed 13,736 CpG sites differentially methylated by country at a false discovery rate (q) < 0.05 (Figure 1). Of these, 870 CpGs had an average absolute methylation difference ≥3% between the two groups. The sites with the largest differences in methylation between U.S and Peru SLE cases were located in genes involved in immune function (Table 1). In particular, a CpG site within PSCA had an average of 19% lower methylation in U.S. compared to Peruvian samples. This gene is linked to immune cell infiltration and may reflect cohort-specific differences in inflammatory regulation. Another CpG site within NMI had an average of 11% less methylation in U.S. samples. NMI enhances STAT-mediated transcription in response to cytokines such as IL-2 and IFN-γ, both critical to SLE pathogenesis. Additionally, a Cpg within TXNIP was 7% more methylated in Peruvian samples. TXNIP is a vitamin D–responsive gene involved in oxidative stress and immune signaling via JAK-STAT and PI3K/Akt pathways.

Conclusion: As an epigenetic mechanism shaped by genetic and environmental factors, DNAm offers insights into population-level disease variation. Our findings suggest that geographic context is associated with epigenetic variation in SLE when accounting for similar genetic ancestry. The most differentially methylated CpGs were in genes involved in immune regulation, pointing to geographically distinct immune responses potentially shaped by environmental exposures. Although the precise drivers are uncertain, these differences may reflect an interplay of social, cultural, and environmental factors. Understanding how these shape epigenetic patterns may offer new insights into SLE pathogenesis across populations.

Supporting image 1Table 1. Top 10 Differentially Methylated Genes Between U.S. and Peruvian Samples, Sorted by Absolute Average Effect Size

Supporting image 2Figure 1. Volcano plot showing hypomethylated and hypermethylated CpG sites. The horizontal line marks the –log₁₀(q-value) threshold of 0.05. Vertical lines indicate a log fold change cutoff of ±0.03


Disclosures: S. Dwidar: None; M. Horton: None; M. Nelson: None; J. Nititham: None; R. Oppong: None; F. Donovan: None; J. Yazdany: AstraZeneca, 2, 5, Aurinia, 5, BMS Foundation, 5, 12, BMS Foundation, Gilead, 5, Pfizer, 2, UCB, 2; M. Dall'Era: AstraZeneca, 2, Aurinia, 2, Biogen, 2, Genentech, Inc., 2, GlaxoSmithKline (GSK), 2, Janssen, 2; L. Barcellos: None; H. Guio: INBIOMEDIC, 4, Universidad de Huanuco, 5; M. Ugarte-Gil: AstraZeneca, 2, 6, Ferrer, 2, 6, GSK, 2, 6, Johnson & Johnson, 5, Novartis, 2, 6, Tecnofarma, 2, 6; L. Criswell: None; C. Lanata: None.

To cite this abstract in AMA style:

Dwidar S, Horton M, Nelson M, Nititham J, Oppong R, Donovan F, Yazdany J, Dall'Era M, Barcellos L, Guio H, Ugarte-Gil M, Criswell L, Lanata C. DNA Methylation Patterns Differ Between Genetically Similar Systemic Lupus Erythematosus (SLE) Patients From Peru and the U.S. [abstract]. Arthritis Rheumatol. 2025; 77 (suppl 9). https://acrabstracts.org/abstract/dna-methylation-patterns-differ-between-genetically-similar-systemic-lupus-erythematosus-sle-patients-from-peru-and-the-u-s/. Accessed .
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