2017
Metabolic Regulation of Gene Expression by Histone Lysine β‐hydroxybutyrylation
Zhang D, Xie Z, Chung D, Tang Z, Huang H, Dai L, Qi S, Li J, Colak G, Chen Y, Peng C, Ruan H, Wang D, Jensen L, Kwon O, Lee S, Pletcher S, Tan M, Lombard D, White K, Zhao H, Li J, Roeder R, Yang X, Zhao Y. Metabolic Regulation of Gene Expression by Histone Lysine β‐hydroxybutyrylation. The FASEB Journal 2017, 31 DOI: 10.1096/fasebj.31.1_supplement.755.2.Peer-Reviewed Original ResearchKetone bodiesNeuro-protective roleDiabetic ketoacidosisAdjunctive treatmentKetogenic dietBrain tumorsPharmacological effectsNeurodegenerative diseasesPathophysiological statesCultured cell linesMedical FoundationLines of evidenceCell linesEpilepsyΒ-hydroxybutyrylationNIHRNA-seq analysisMetabolic regulationRegulatory roleGene expressionShanghai Municipal ScienceMetabolic pathwaysKetoacidosisDiabetesPatients
2014
GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation
Chung D, Yang C, Li C, Gelernter J, Zhao H. GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation. PLOS Genetics 2014, 10: e1004787. PMID: 25393678, PMCID: PMC4230845, DOI: 10.1371/journal.pgen.1004787.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesFunctional annotationGWAS datasetsAnnotation informationStatistical approachMultiple GWAS datasetsGenome-wide markersPowerful statistical methodsSingle-phenotype analysisCentral nervous system genesRisk variantsNervous system genesGenotype-Tissue Expression (GTEx) databaseComplex diseasesGWAS data setsSignificant pleiotropic effectsCommon risk basisDifferent complex diseasesDNase-seq dataCell linesStatistical inferenceGenetic architectureGWAS hitsGWAS resultsNovel statistical approach