A multi-trait epigenome-wide association study identified DNA methylation signature of inflammation among men with HIV
Chen J, Hui Q, Titanji B, So-Armah K, Freiberg M, Justice A, Xu K, Zhu X, Gwinn M, Marconi V, Sun Y. A multi-trait epigenome-wide association study identified DNA methylation signature of inflammation among men with HIV. Clinical Epigenetics 2024, 16: 152. PMID: 39488703, PMCID: PMC11531128, DOI: 10.1186/s13148-024-01763-2.Peer-Reviewed Original ResearchConceptsEpigenome-wide association studiesDNA methylationAssociation studiesDNAm sitesDNA methylation sitesAssociated with DNA methylationDNA methylation signaturesInflammatory markersResponse to virusesImmune response to virusesVeterans Aging Cohort StudySignatures of inflammationGenesIdentified sitesAging Cohort StudyInflammation-related genesPathwayPersistent inflammationMale PWHCohort studyExcess morbidityPWHStudy populationInflammationStatistical powerHBI: a hierarchical Bayesian interaction model to estimate cell-type-specific methylation quantitative trait loci incorporating priors from cell-sorted bisulfite sequencing data
Cheng Y, Cai B, Li H, Zhang X, D’Souza G, Shrestha S, Edmonds A, Meyers J, Fischl M, Kassaye S, Anastos K, Cohen M, Aouizerat B, Xu K, Zhao H. HBI: a hierarchical Bayesian interaction model to estimate cell-type-specific methylation quantitative trait loci incorporating priors from cell-sorted bisulfite sequencing data. Genome Biology 2024, 25: 273. PMID: 39407252, PMCID: PMC11476968, DOI: 10.1186/s13059-024-03411-7.Peer-Reviewed Original ResearchConceptsMethylation quantitative trait lociQuantitative trait lociTrait lociMethylation dataFunctional annotation of genetic variantsAnnotation of genetic variantsGenetic variantsBisulfite sequencing dataEffects of genetic variantsBiologically relevant cell typesDNA methylation levelsCell typesFunctional annotationSequence dataComplex traitsMethylation datasetsRelevant cell typesMeQTLsMethylation levelsMethylation regulatorsReal data analysesLociVariantsMethylationDNA