Featured Publications
Integration of expression QTLs with fine mapping via SuSiE.
Zhang X, Jiang W, Zhao H. Integration of expression QTLs with fine mapping via SuSiE. PLOS Genetics 2024, 20: e1010929. PMID: 38271473, PMCID: PMC10846745, DOI: 10.1371/journal.pgen.1010929.Peer-Reviewed Original ResearchConceptsExpression quantitative trait lociGenome-wide association studiesFine-mapping methodsLinkage disequilibriumBody mass indexFine-mappingExpression quantitative trait loci informationGenome-wide association study resultsExpression quantitative trait loci analysisPresence of linkage disequilibriumExternal reference panelGenetic fine-mappingQuantitative trait lociPosterior inclusion probabilitiesInclusion probabilitiesAlzheimer's diseaseExpression QTLsLD patternsComplex traitsCandidate variantsAssociation studiesTrait lociAssociation to causationReference panelFunctional variants
2024
Single-cell transcriptomic and proteomic analysis of Parkinson’s disease brains
Zhu B, Park J, Coffey S, Russo A, Hsu I, Wang J, Su C, Chang R, Lam T, Gopal P, Ginsberg S, Zhao H, Hafler D, Chandra S, Zhang L. Single-cell transcriptomic and proteomic analysis of Parkinson’s disease brains. Science Translational Medicine 2024, 16: eabo1997. PMID: 39475571, DOI: 10.1126/scitranslmed.abo1997.Peer-Reviewed Original ResearchConceptsProteomic analysisAlzheimer's diseasePrefrontal cortexBrain cell typesGenetics of PDParkinson's diseaseCell-cell interactionsChaperone expressionSingle-nucleus transcriptomesExpressed genesTranscriptional changesPostmortem human brainPostmortem brain tissueDiseased brainSynaptic proteinsSingle-cellDown-regulationBrain cell populationsBrain regionsCell typesNeurodegenerative disordersLate-stage PDParkinson's disease brainsDisease etiologyNeuronal vulnerabilityEstimating Cell-Type-Specific Gene Co-Expression Networks from Bulk Gene Expression Data with an Application to Alzheimer’s Disease
Su C, Zhang J, Zhao H. Estimating Cell-Type-Specific Gene Co-Expression Networks from Bulk Gene Expression Data with an Application to Alzheimer’s Disease. Journal Of The American Statistical Association 2024, 119: 811-824. PMID: 39280354, PMCID: PMC11394578, DOI: 10.1080/01621459.2023.2297467.Peer-Reviewed Original Research
2019
O2‐10‐03: LEVERAGING TISSUE SPECIFIC GENE EXPRESSION REGULATION TO IDENTIFY GENES ASSOCIATED WITH ALZHEIMER'S DISEASE
Liu W, Li M, Zhang W, Zhou G, Wu X, Wang J, Zhao H. O2‐10‐03: LEVERAGING TISSUE SPECIFIC GENE EXPRESSION REGULATION TO IDENTIFY GENES ASSOCIATED WITH ALZHEIMER'S DISEASE. Alzheimer's & Dementia 2019, 15: p564-p565. DOI: 10.1016/j.jalz.2019.06.4507.Peer-Reviewed Original Research
2016
O1‐03‐01: Integrative Analysis of Gwas Summary Data and Functional Annotations Highlights Signal Enrichment in Immune‐Related DNA Elements for Late‐Onset Alzheimer’s Disease
Lu Q, Mukherjee S, Crane P, Zhao H. O1‐03‐01: Integrative Analysis of Gwas Summary Data and Functional Annotations Highlights Signal Enrichment in Immune‐Related DNA Elements for Late‐Onset Alzheimer’s Disease. Alzheimer's & Dementia 2016, 12: p176-p177. DOI: 10.1016/j.jalz.2016.06.304.Peer-Reviewed Original Research