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
Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program
Cheng Y, Dao C, Zhou H, Li B, Kember R, Toikumo S, Zhao H, Gelernter J, Kranzler H, Justice A, Xu K. Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program. Translational Psychiatry 2023, 13: 148. PMID: 37147289, PMCID: PMC10162964, DOI: 10.1038/s41398-023-02409-2.Peer-Reviewed Original ResearchConceptsSingle-trait genome-wide association studiesGenome-wide association studiesNovel lociPower of GWASJoint genome-wide association studyGenome-wide significant lociMillion Veteran ProgramGenome-wide associationSubstance use traitsGWAS summary statisticsNovel genetic variantsMulti-trait analysisFunctional annotationUse traitsSignificant lociHeritable traitMultiple lociAssociation studiesColocalization analysisLociPleiotropic effectsMTAgVeteran ProgramGenetic variantsTraits
2022
Incorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans
Li B, Aouizerat BE, Cheng Y, Anastos K, Justice AC, Zhao H, Xu K. Incorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans. Communications Biology 2022, 5: 401. PMID: 35488087, PMCID: PMC9054854, DOI: 10.1038/s42003-022-03353-5.Peer-Reviewed Original Research
2021
Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics
Zhang Y, Cheng Y, Jiang W, Ye Y, Lu Q, Zhao H. Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics. Briefings In Bioinformatics 2021, 22: bbaa442. PMID: 33497438, PMCID: PMC8425307, DOI: 10.1093/bib/bbaa442.Peer-Reviewed Original ResearchConceptsReal data applicationData applicationsCorrelation estimation methodsGWAS summary statisticsSample overlapIndividual-level genotype dataSummary statisticsComputational efficiencyGenetic correlation estimationLD estimationEstimation methodCorrelation estimationComprehensive simulationsMajor technical challengeStatisticsTechnical challengesEasy accessBenchmark studyComparison of methodsEstimationInformative metricsPost-GWAS analysisSimulationsArchitectureApplications