2018
Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality
Zhang X, Hu Y, Aouizerat BE, Peng G, Marconi VC, Corley MJ, Hulgan T, Bryant KJ, Zhao H, Krystal JH, Justice AC, Xu K. Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality. Clinical Epigenetics 2018, 10: 155. PMID: 30545403, PMCID: PMC6293604, DOI: 10.1186/s13148-018-0591-z.Peer-Reviewed Original ResearchConceptsWhite blood cellsSmoking-associated DNA methylationHIV prognosisInfection-related clinical outcomesBlood cellsSmoking-associated CpGsHIV-positive individualsImmune-related outcomesEpigenome-wide significant CpGsClinical outcomesTobacco smokingVeteran populationSurvival rateDNA methylation indexMortalityFrailtyHIVMethylation indexPrognosisMethylation signaturesDNA methylationOutcomesCell cycleCpGSignificant CpGs
2016
Epigenome-wide differential DNA methylation between HIV-infected and uninfected individuals
Zhang X, Justice AC, Hu Y, Wang Z, Zhao H, Wang G, Johnson EO, Emu B, Sutton RE, Krystal JH, Xu K. Epigenome-wide differential DNA methylation between HIV-infected and uninfected individuals. Epigenetics 2016, 11: 750-760. PMID: 27672717, PMCID: PMC5094631, DOI: 10.1080/15592294.2016.1221569.Peer-Reviewed Original ResearchDifferential DNA methylationDNA methylationLarge-scale epigenome-wide association studyMajor histocompatibility complex (MHC) class I gene expressionNovel host genesEpigenome-wide association studiesClass I gene expressionVeterans Aging Cohort StudyEpigenome-wide significant CpGsEpigenetic controlHIV-1 infectionHost genesI gene expressionEpigenetic changesHost genomeCARD domainKey regulatorGene expressionAssociation studiesSignificant CpGsGene 5CpG sitesMethylationCell typesLower methylation