2020
Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary Fibrosis
Allen RJ, Guillen-Guio B, Oldham JM, Ma SF, Dressen A, Paynton ML, Kraven LM, Obeidat M, Li X, Ng M, Braybrooke R, Molina-Molina M, Hobbs BD, Putman RK, Sakornsakolpat P, Booth HL, Fahy WA, Hart SP, Hill MR, Hirani N, Hubbard RB, McAnulty RJ, Millar AB, Navaratnam V, Oballa E, Parfrey H, Saini G, Whyte MKB, Zhang Y, Kaminski N, Adegunsoye A, Strek ME, Neighbors M, Sheng XR, Gudmundsson G, Gudnason V, Hatabu H, Lederer DJ, Manichaikul A, Newell JD, O’Connor G, Ortega VE, Xu H, Fingerlin TE, Bossé Y, Hao K, Joubert P, Nickle DC, Sin DD, Timens W, Furniss D, Morris AP, Zondervan KT, Hall IP, Sayers I, Tobin MD, Maher TM, Cho MH, Hunninghake GM, Schwartz DA, Yaspan BL, Molyneaux PL, Flores C, Noth I, Jenkins RG, Wain LV. Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2020, 201: 564-574. PMID: 31710517, PMCID: PMC7047454, DOI: 10.1164/rccm.201905-1017oc.Peer-Reviewed Original ResearchMeSH KeywordsAgedCase-Control StudiesCell Cycle ProteinsFemaleGene ExpressionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansIdiopathic Pulmonary FibrosisIntracellular Signaling Peptides and ProteinsKinesinsMaleMiddle AgedRisk AssessmentSignal TransductionSpindle ApparatusTOR Serine-Threonine KinasesConceptsGenome-wide association studiesAssociation studiesIPF susceptibilityNew genome-wide significant signalsGenome-wide significant signalsGenome-wide analysisCell-cell adhesionLarge genome-wide association studiesImportance of mTORPolygenic risk score analysisTelomere maintenanceCausal genesFunctional analysisSusceptibility variantsRisk score analysisMultiple pathwaysGenetic associationGenesHost defensePolygenic risk scoresIndependent studiesPossible roleExpression associatesSignificant signalRecent studies
2019
Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study
Scott MKD, Quinn K, Li Q, Carroll R, Warsinske H, Vallania F, Chen S, Carns MA, Aren K, Sun J, Koloms K, Lee J, Baral J, Kropski J, Zhao H, Herzog E, Martinez FJ, Moore BB, Hinchcliff M, Denny J, Kaminski N, Herazo-Maya JD, Shah NH, Khatri P. Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study. The Lancet Respiratory Medicine 2019, 7: 497-508. PMID: 30935881, PMCID: PMC6529612, DOI: 10.1016/s2213-2600(18)30508-3.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisPulmonary fibrosisAbsolute monocyte countMonocyte countImmune cell typesElectronic health recordsPoor outcomeHigh riskSystemic sclerosisMonocyte percentageHypertrophic cardiomyopathyHigh absolute monocyte countPeripheral blood mononuclear cell samplesComplete blood count valuesSpecific immune cell typesTransplant-free survivalMulticentre cohort studyHealth recordsHigh-risk patientsBlood count valuesSame clinical presentationHigher monocyte countMononuclear cell samplesRisk of mortalityCell types
2017
Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study
Herazo-Maya JD, Sun J, Molyneaux PL, Li Q, Villalba JA, Tzouvelekis A, Lynn H, Juan-Guardela BM, Risquez C, Osorio JC, Yan X, Michel G, Aurelien N, Lindell KO, Klesen MJ, Moffatt MF, Cookson WO, Zhang Y, Garcia JGN, Noth I, Prasse A, Bar-Joseph Z, Gibson KF, Zhao H, Herzog EL, Rosas IO, Maher TM, Kaminski N. Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study. The Lancet Respiratory Medicine 2017, 5: 857-868. PMID: 28942086, PMCID: PMC5677538, DOI: 10.1016/s2213-2600(17)30349-1.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesFemaleGene Expression ProfilingGenetic MarkersGenetic TestingHumansIdiopathic Pulmonary FibrosisLeukocytes, MononuclearLinear ModelsMaleMiddle AgedOligonucleotide Array Sequence AnalysisPrognosisProportional Hazards ModelsRisk AssessmentRisk FactorsTime FactorsVital CapacityConceptsIdiopathic pulmonary fibrosisTransplant-free survivalRisk profilePulmonary fibrosisAntifibrotic drugsPeripheral blood mononuclear cellsCox proportional hazards modelClinical prediction toolGroup of patientsBlood mononuclear cellsHigh-risk groupProportional hazards modelPulmonary Fibrosis FoundationPittsburgh cohortUntreated patientsCohort studyClinical courseIPF diagnosisBlood InstituteProspective studyVital capacityMononuclear cellsPeripheral bloodUS National InstitutesNational Heart