2024
HBI: 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
2023
Cis-meQTL for cocaine use-associated DNA methylation in an HIV-positive cohort show pleiotropic effects on multiple traits
Cheng Y, Justice A, Wang Z, Li B, Hancock D, Johnson E, Xu K. Cis-meQTL for cocaine use-associated DNA methylation in an HIV-positive cohort show pleiotropic effects on multiple traits. BMC Genomics 2023, 24: 556. PMID: 37730558, PMCID: PMC10510240, DOI: 10.1186/s12864-023-09661-2.Peer-Reviewed Original ResearchConceptsDNA methylationMultiple traitsPleiotropic effectsGenetic variantsAberrant DNA methylationPhenome-wide association studyCis-meQTLsComplex traitsRelevant traitsDNAm sitesEnrichment analysisMeQTLsAssociation studiesSignificant traitsTraitsImmune pathwaysMethylationNew insightsMendelian randomizationImmunological functionsGenesVariantsCausal rolePathwayCpG