2024
Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations
Liu J, Borsari B, Li Y, Liu S, Gao Y, Xin X, Lou S, Jensen M, Garrido-MartÃn D, Verplaetse T, Ash G, Zhang J, Girgenti M, Roberts W, Gerstein M. Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations. Cell 2024 PMID: 39706190, DOI: 10.1016/j.cell.2024.11.012.Peer-Reviewed Original ResearchGenome-wide association studiesCase-control genome-wide association studyMultivariate genome-wide association studyGenetic lociAssociation studiesGenetic dataGenetic associationPhenotypeGeneticsEnvironmental factorsDetection powerElfn1Adolescent Brain Cognitive DevelopmentLociGenesPsychiatric disordersADORA3Digital phenotyping
2021
Cross-platform transcriptomic profiling of the response to recombinant human erythropoietin
Wang G, Kitaoka T, Crawford A, Mao Q, Hesketh A, Guppy FM, Ash GI, Liu J, Gerstein MB, Pitsiladis YP. Cross-platform transcriptomic profiling of the response to recombinant human erythropoietin. Scientific Reports 2021, 11: 21705. PMID: 34737331, PMCID: PMC8568984, DOI: 10.1038/s41598-021-00608-9.Peer-Reviewed Original ResearchConceptsRNA-seqDifferential gene expressionPathway enrichment analysisRNA biologyTranscriptomic profilingTarget genesEnrichment analysisGene expressionEPO biologyMicroarray platformGene correlateCross-platform comparisonGenesBiologyImmune regulationHuman erythropoietinTissue protectionProfilingRegulationErythropoietinRecombinant human erythropoietinExpressionImportant toolErythropoiesisOxygen transport