Featured Publications
A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression
Yan X, Liang A, Gomez J, Cohn L, Zhao H, Chupp GL. A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression. BMC Bioinformatics 2017, 18: 309. PMID: 28637421, PMCID: PMC5480187, DOI: 10.1186/s12859-017-1727-4.Peer-Reviewed Original Research
2020
Latent-space embedding of expression data identifies gene signatures from sputum samples of asthmatic patients
Lou S, Li T, Spakowicz D, Yan X, Chupp GL, Gerstein M. Latent-space embedding of expression data identifies gene signatures from sputum samples of asthmatic patients. BMC Bioinformatics 2020, 21: 457. PMID: 33059594, PMCID: PMC7560063, DOI: 10.1186/s12859-020-03785-y.Peer-Reviewed Original Research
2017
Characterisation of asthma subgroups associated with circulating YKL-40 levels
Gomez JL, Yan X, Holm CT, Grant N, Liu Q, Cohn L, Nezgovorova V, Meyers DA, Bleecker ER, Crisafi GM, Jarjour NN, Rogers L, Reibman J, Chupp GL. Characterisation of asthma subgroups associated with circulating YKL-40 levels. European Respiratory Journal 2017, 50: 1700800. PMID: 29025889, PMCID: PMC5967238, DOI: 10.1183/13993003.00800-2017.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAirway ObstructionAsthmaChitinase-3-Like Protein 1Cluster AnalysisCross-Sectional StudiesDisease ProgressionFemaleGene Expression ProfilingHumansInflammationMaleMiddle AgedReproducibility of ResultsRespiratory SystemSeverity of Illness IndexSputumStatistics as TopicSymptom Flare UpConceptsSerum YKL-40 levelsYKL-40 levelsHigher serum YKL-40 levelsAirflow obstructionAsthma phenotypesElevated serum YKL-40 levelsSevere Asthma Research ProgramClinical asthma phenotypesExacerbation-prone asthmaIrreversible airway obstructionSevere airflow obstructionFrequent exacerbationsSevere exacerbationsAirway inflammationAirway obstructionAsthma exacerbationsAirway diseaseAsthma patientsAsthma severitySerum levelsInflammatory pathwaysAsthma subgroupsAdult onsetIdentification of individualsUnsupervised cluster analysisPolysomnographic phenotypes and their cardiovascular implications in obstructive sleep apnoea
Zinchuk AV, Jeon S, Koo BB, Yan X, Bravata DM, Qin L, Selim BJ, Strohl KP, Redeker NS, Concato J, Yaggi HK. Polysomnographic phenotypes and their cardiovascular implications in obstructive sleep apnoea. Thorax 2017, 73: 472. PMID: 28935698, PMCID: PMC6693344, DOI: 10.1136/thoraxjnl-2017-210431.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedCardiovascular DiseasesCluster AnalysisCross-Sectional StudiesFemaleHumansIschemic Attack, TransientLongitudinal StudiesMaleMiddle AgedMortalityPhenotypePolysomnographyProportional Hazards ModelsRisk AssessmentSeverity of Illness IndexSleep Apnea, ObstructiveStrokeConceptsObstructive sleep apnoeaCardiovascular outcomesPolysomnographic featuresSleep apnoeaPolysomnographic dataIncident transient ischemic attackUS Veteran cohortTransient ischemic attackAcute coronary syndromeAdverse cardiovascular outcomesPeriodic limb movementsOSA severity classificationPolysomnographic phenotypeCoronary syndromeIschemic attackCardiovascular implicationsOSA phenotypesOSA evaluationPathophysiological domainsPoor sleepMild/Patient clustersVeteran cohortSurvival analysisCombined outcome