Featured Publications
A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases
Liu W, Deng W, Chen M, Dong Z, Zhu B, Yu Z, Tang D, Sauler M, Lin C, Wain L, Cho M, Kaminski N, Zhao H. A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases. PLOS Genetics 2023, 19: e1010825. PMID: 37523391, PMCID: PMC10414598, DOI: 10.1371/journal.pgen.1010825.Peer-Reviewed Original ResearchConceptsCell typesDisease-associated tissuesWide association studyComplex diseasesCell type proportionsDisease-relevant tissuesReal GWAS dataFunctional genesTranscriptomic dataGWAS dataGenetic dataAssociation studiesNovel statistical frameworkChronic obstructive pulmonary diseaseStatistical frameworkObstructive pulmonary diseaseIdiopathic pulmonary fibrosisBreast cancer riskType proportionsBlood CD8Pulmonary diseasePulmonary fibrosisPredictive biomarkersLung tissueBreast cancer
2018
Spatiotemporal transcriptomic divergence across human and macaque brain development
Zhu Y, Sousa AMM, Gao T, Skarica M, Li M, Santpere G, Esteller-Cucala P, Juan D, Ferrández-Peral L, Gulden FO, Yang M, Miller DJ, Marques-Bonet T, Imamura Kawasawa Y, Zhao H, Sestan N. Spatiotemporal transcriptomic divergence across human and macaque brain development. Science 2018, 362 PMID: 30545855, PMCID: PMC6900982, DOI: 10.1126/science.aat8077.Peer-Reviewed Original ResearchConceptsBrain developmentHuman nervous system developmentHuman brain developmentNervous system developmentPostnatal patternSingle-cell transcriptomic dataSpatiotemporal transcriptional regulationBrain regionsNeuropsychiatric disordersLate fetalPrefrontal cortexTranscriptomic programsHuman dataTranscriptomic divergenceTranscriptional regulationTranscriptomic differencesAutism spectrum disorderTranscriptomic dataDisordersTranscriptomic patternsSpectrum disorderIntegrative analysisPathogenesis