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. 2024 Nov 2;16(1):152.
doi: 10.1186/s13148-024-01763-2.

A multi-trait epigenome-wide association study identified DNA methylation signature of inflammation among men with HIV

Affiliations

A multi-trait epigenome-wide association study identified DNA methylation signature of inflammation among men with HIV

Junyu Chen et al. Clin Epigenetics. .

Abstract

Inflammation underlies many conditions causing excess morbidity and mortality among people with HIV (PWH). A handful of single-trait epigenome-wide association studies (EWAS) have suggested that inflammation is associated with DNA methylation (DNAm) among PWH. Multi-trait EWAS may further improve statistical power and reveal pathways in common between different inflammatory markers. We conducted single-trait EWAS of three inflammatory markers (soluble CD14, D-dimers and interleukin-6) in the Veterans Aging Cohort Study (n = 920). The study population was all male PWH with an average age of 51 years, and 82.3% self-reported as Black. We then applied two multi-trait EWAS methods-CPASSOC and OmniTest-to combine single-trait EWAS results. CPASSOC and OmniTest identified 189 and 157 inflammation-associated DNAm sites, respectively, of which 112 overlapped. Among the identified sites, 56% were not significant in any single-trait EWAS. Top sites were mapped to inflammation-related genes including IFITM1, PARP9 and STAT1. These genes were significantly enriched in pathways such as "type I interferon signaling" and "immune response to virus." We demonstrate that multi-trait EWAS can improve the discovery of inflammation-associated DNAm sites, genes and pathways. These DNAm sites might hold the key to addressing persistent inflammation in PWH.

Keywords: D-dimer; EWAS; HIV; IL-6; sCD14.

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Conflict of interest statement

V.C.M. has received investigator-initiated research grants (to the institution) and consultation fees from Eli Lilly, Bayer, Gilead Sciences, Merck and ViiV.

Figures

Fig. 1
Fig. 1
Outline of multi-trait epigenome-wide associations studies of inflammatory markers in the Veterans Aging Cohort Study (VACS)
Fig. 2
Fig. 2
Overlapping CpG sites identified by the cross-phenotype association test (CPASSOC) and the omnibus test (OMNITEST) in meta-analyses
Fig. 3
Fig. 3
Comparison between the beta-coefficients of the CpG sites associated with (A) IL-6, (B) sCD14 and (C) D-dimer in VACS and the ones associated with C-reactive protein in the general population

Update of

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