2025
Extracting antibiotic susceptibility from free-text microbiology reports using natural language processing.
Chou A, Hauser R, Bastian L, Brandt C, Trautner B. Extracting antibiotic susceptibility from free-text microbiology reports using natural language processing. Infection Control And Hospital Epidemiology 2025, 1-3. PMID: 40740000, DOI: 10.1017/ice.2025.10210.Peer-Reviewed Original ResearchTNFRSF1A and NCF1 May Act as Hub Genes in Mastitis
Ekhtiyari M, Yousefi M, Samadian F, Ghaderi‐Zefrehei M, Neysi S, Shamsabadi J, Javanmard A, Shahriarpour H, Lesch B. TNFRSF1A and NCF1 May Act as Hub Genes in Mastitis. Veterinary Medicine And Science 2025, 11: e70278. PMID: 40028770, PMCID: PMC11875065, DOI: 10.1002/vms3.70278.Peer-Reviewed Original ResearchConceptsBovine mastitisHub genesMastitis susceptibilityExpression datasetsMolecular mechanismsMultiple expression datasetsProtein-protein interactionsCo-expression network analysisSusceptibility to bovine mastitisRegulatory networksTarget key genesKey genesDairy industryMolecular playersNetwork analysisMRNA-miRNACo-expressionGenesNCF1MastitisBacterial infectionsTherapeutic targetTNFRSF1AImmune responseSusceptibility
2024
Sources of exposure to non-tobacco nicotine electronic nicotine delivery systems and associations with susceptibility to use and use behaviors among young adults in the United States
Li W, Kong G, Davis D, Bold K, Krishnan-Sarin S, Camenga D, Morean M. Sources of exposure to non-tobacco nicotine electronic nicotine delivery systems and associations with susceptibility to use and use behaviors among young adults in the United States. PLOS ONE 2024, 19: e0299533. PMID: 38718067, PMCID: PMC11078344, DOI: 10.1371/journal.pone.0299533.Peer-Reviewed Original ResearchConceptsElectronic nicotine delivery systemsAssociated with greater oddsNicotine delivery systemsGreater oddsYoung adultsTobacco product useTobacco-free nicotineDelivery systemLifetime useENDS usePast-monthExamined associationsNicotineSocial mediaPrevention effortsOddsAdultsSusceptibilityAnalyzed online survey dataStreaming platformsExposure
2023
Ex vivo RSA and pfkelch13 targeted-amplicon deep sequencing reveal parasites susceptibility to artemisinin in Senegal, 2017
Yade M, Dièye B, Coppée R, Mbaye A, Diallo M, Diongue K, Bailly J, Mama A, Fall A, Thiaw A, Ndiaye I, Ndiaye T, Gaye A, Tine A, Diédhiou Y, Mbaye A, Doderer-Lang C, Garba M, Bei A, Ménard D, Ndiaye D. Ex vivo RSA and pfkelch13 targeted-amplicon deep sequencing reveal parasites susceptibility to artemisinin in Senegal, 2017. Malaria Journal 2023, 22: 167. PMID: 37237307, PMCID: PMC10223908, DOI: 10.1186/s12936-023-04588-1.Peer-Reviewed Original ResearchConceptsRing-stage survival assayART resistancePlasmodium falciparum isolatesMost malaria deathsLong-term useCurative treatmentCombination therapyMalaria deathsMinor variantsFalciparum isolatesPfkelch13 geneSurvival assaysParasite susceptibilityResultsAll samplesPfKelch13Spread of parasitesSaharan AfricaExMain determinantsIsolatesTherapySusceptibilityDeep sequencing approachProspective predictors of electronic nicotine delivery system initiation in tobacco naive young adults: A machine learning approach
Atuegwu N, Mortensen E, Krishnan-Sarin S, Laubenbacher R, Litt M. Prospective predictors of electronic nicotine delivery system initiation in tobacco naive young adults: A machine learning approach. Preventive Medicine Reports 2023, 32: 102148. PMID: 36865398, PMCID: PMC9971268, DOI: 10.1016/j.pmedr.2023.102148.Peer-Reviewed Original ResearchElectronic nicotine delivery systemsENDS initiationYoung adultsPrevention programsProtective factorsLongitudinal cohort surveyProspective predictorsNicotine delivery systemsWave 4Cohort surveyPhysical exerciseTobacco productsWave 4 dataAdultsPredictorsMarijuana useFurther investigationRiskInitiationRepresentative dataDelivery systemPopulation AssessmentSusceptibilityCigarettesStudy
2022
A translational genomics approach identifies IL10RB as the top candidate gene target for COVID-19 susceptibility
Voloudakis G, Vicari J, Venkatesh S, Hoffman G, Dobrindt K, Zhang W, Beckmann N, Higgins C, Argyriou S, Jiang S, Hoagland D, Gao L, Corvelo A, Cho K, Lee K, Bian J, Lee J, Iyengar S, Luoh S, Akbarian S, Striker R, Assimes T, Schadt E, Lynch J, Merad M, tenOever B, Charney A, Brennand K, Fullard J, Roussos P. A translational genomics approach identifies IL10RB as the top candidate gene target for COVID-19 susceptibility. Npj Genomic Medicine 2022, 7: 52. PMID: 36064543, PMCID: PMC9441828, DOI: 10.1038/s41525-022-00324-x.Peer-Reviewed Original ResearchCandidate gene targetsGene targetsTranslational genomics approachesHost susceptibilityGenomic approachesGenetic susceptibility variantsGenetic lociDruggable genesGene expressionMolecular pathwaysSusceptibility variantsCOVID-19 susceptibilityGenetic findingsApproach identifiesExpressionCOVID-19 patient bloodCritical next stepGenesLociOverexpressionTargetPathwaySusceptibilityIL10RBRecent efforts
2021
Genetic determinants of blood-cell traits influence susceptibility to childhood acute lymphoblastic leukemia
Kachuri L, Jeon S, DeWan AT, Metayer C, Ma X, Witte JS, Chiang CWK, Wiemels JL, de Smith AJ. Genetic determinants of blood-cell traits influence susceptibility to childhood acute lymphoblastic leukemia. American Journal Of Human Genetics 2021, 108: 1823-1835. PMID: 34469753, PMCID: PMC8546033, DOI: 10.1016/j.ajhg.2021.08.004.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorBlood PlateletsCase-Control StudiesChildFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLymphocytesMaleMendelian Randomization AnalysisMiddle AgedMonocytesNeutrophilsPrecursor Cell Lymphoblastic Leukemia-LymphomaPrognosisProspective StudiesQuantitative Trait LociUnited KingdomConceptsTrait-associated variantsMulti-trait GWASBlood cell homeostasisWide association studyGenetic risk lociTrait variationHematologic traitsRisk lociAssociation studiesCell typesGenetic determinantsLociInfluence susceptibilityUK BiobankMendelian randomization analysisGWASEtiological relevanceRandomization analysisTraitsHomeostasisSusceptibilityAcute lymphoblastic leukemiaIdentification of novel locus associated with coronary artery aneurysms and validation of loci for susceptibility to Kawasaki disease
Hoggart C, Shimizu C, Galassini R, Wright V, Shailes H, Bellos E, Herberg J, Pollard A, O’Connor D, Choi S, Seaby E, Menikou S, Hibberd M, Sallah N, Burgner D, Brogan P, Patel H, Kim J, Tremoulet A, Salo E, van Stijn D, Kuijpers T, Burns J, Levin M. Identification of novel locus associated with coronary artery aneurysms and validation of loci for susceptibility to Kawasaki disease. European Journal Of Human Genetics 2021, 29: 1734-1744. PMID: 33772158, PMCID: PMC7994355, DOI: 10.1038/s41431-021-00838-5.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesIntergenic regionNovel lociChromosome 20q13Second genome-wide association studyEuropean genome-wide association studyValidation of lociJapanese genome-wide association studiesGWAS summary dataAssociated lociGenomic regionsGenome dataPutative lociDifferent genesRisk allelesAssociation studiesEuropean descentLociGenetic variantsAllelesSNVsWider significanceGenesSusceptibilityCASP3Species distribution and antifungal susceptibility of Aspergillus clinical isolates in Lebanon
Osman M, Bidon B, Abboud C, Zakaria A, Hamze B, Achcar M, Mallat H, Dannaoui E, Dabboussi F, Papon N, Bouchara J, Hamze M. Species distribution and antifungal susceptibility of Aspergillus clinical isolates in Lebanon. Future Microbiology 2021, 16: 13-26. PMID: 33438473, DOI: 10.2217/fmb-2020-0141.Peer-Reviewed Original ResearchConceptsAntifungal susceptibilityAspergillus clinical isolatesAntifungal susceptibility patternsReverse transcription-quantitative PCRNational Reference CenterOverall drug resistanceTranscription-quantitative PCRInvasive mycosesSusceptibility patternsHealth strategiesEUCAST recommendationsReference centerClinical isolatesAmphotericin BDrug resistanceResistant isolatesMajor causeGene mutationsExpression levelsIsolatesEpidemiologySusceptibilityMycoses
2020
COVID-19 vulnerability: the potential impact of genetic susceptibility and airborne transmission
Godri Pollitt KJ, Peccia J, Ko AI, Kaminski N, Dela Cruz CS, Nebert DW, Reichardt JKV, Thompson DC, Vasiliou V. COVID-19 vulnerability: the potential impact of genetic susceptibility and airborne transmission. Human Genomics 2020, 14: 17. PMID: 32398162, PMCID: PMC7214856, DOI: 10.1186/s40246-020-00267-3.Peer-Reviewed Original Research
2019
Genetic susceptibility may modify the association between cell phone use and thyroid cancer: A population-based case-control study in Connecticut
Luo J, Li H, Deziel NC, Huang H, Zhao N, Ma S, Ni X, Udelsman R, Zhang Y. Genetic susceptibility may modify the association between cell phone use and thyroid cancer: A population-based case-control study in Connecticut. Environmental Research 2019, 182: 109013. PMID: 31918310, PMCID: PMC7061309, DOI: 10.1016/j.envres.2019.109013.Peer-Reviewed Original ResearchPolygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood
Khera AV, Chaffin M, Wade KH, Zahid S, Brancale J, Xia R, Distefano M, Senol-Cosar O, Haas ME, Bick A, Aragam KG, Lander ES, Smith GD, Mason-Suares H, Fornage M, Lebo M, Timpson NJ, Kaplan LM, Kathiresan S. Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood. Cell 2019, 177: 587-596.e9. PMID: 31002795, PMCID: PMC6661115, DOI: 10.1016/j.cell.2019.03.028.Peer-Reviewed Original ResearchConceptsSevere obesityLongitudinal birth cohortYears of ageUnhealthy lifestyle choicesMiddle-aged adultsGlobal health threatObesity trajectoriesClinical preventionBirth cohortObesityHealth threatPolygenic predictorsInherited susceptibilityLifestyle choicesEarly childhoodCommon variantsBirthAgeCommon DNA variantsPredictorsMinimal differencesSusceptibilityMechanistic assessmentDecileBirthweightTemporal variations in the triggering of myocardial infarction by air temperature in Augsburg, Germany, 1987–2014
Chen K, Breitner S, Wolf K, Hampel R, Meisinger C, Heier M, von Scheidt W, Kuch B, Peters A, Schneider A, Peters A, Schulz H, Schwettmann L, Leidl R, Heier M, Strauch K. Temporal variations in the triggering of myocardial infarction by air temperature in Augsburg, Germany, 1987–2014. European Heart Journal 2019, 40: 1600-1608. PMID: 30859207, DOI: 10.1093/eurheartj/ehz116.Peer-Reviewed Original ResearchConceptsMyocardial infarctionMI riskCases of MIRisk of MITime-stratified case-crossover analysisPopulation susceptibilityCase-crossover analysisArea of AugsburgCoronary deathDiabetes mellitusNon-significant declineSubgroup analysisRelative riskLag non-linear modelShort-term exposureMI eventsEnvironmental triggersInfarctionRiskFuture studiesSocioeconomic settingsAssociationExposureSusceptibility
2017
NOD Mice Having a Lyn Tyrosine Kinase Mutation Exhibit Abnormal Neutrophil Chemotaxis
Wu Y, Hannigan M, Zhan L, Madri JA, Huang C. NOD Mice Having a Lyn Tyrosine Kinase Mutation Exhibit Abnormal Neutrophil Chemotaxis. Journal Of Cellular Physiology 2017, 232: 1689-1695. PMID: 27591397, DOI: 10.1002/jcp.25583.Peer-Reviewed Original Research
2016
Chapter 38 Clinical Syndromes of Substance Use Disorder
Addy N, Solecki W. Chapter 38 Clinical Syndromes of Substance Use Disorder. 2016, 619-634. DOI: 10.1016/b978-0-12-800105-9.00038-x.Peer-Reviewed Original ResearchSubstance use disordersUse disordersGenetic adaptationEpigenetic processesGenetic mechanismsDrug-mediated changesSpecific neuronal circuitsIntracellular signalingClinical syndromeSuccessful treatmentSynaptic physiologyNeuronal circuitsCurrent understandingNeurobiological processesOngoing studiesSeminal findingsDisordersGenesSignalingSyndromePathwayPhysiologySusceptibilityNeurotransmitters
2014
Development of transgenic mouse model expressing porcine aminopeptidase N and its susceptibility to porcine epidemic diarrhea virus
Park J, Park E, Yu J, Rho J, Paudel S, Hyun B, Yang D, Shin H. Development of transgenic mouse model expressing porcine aminopeptidase N and its susceptibility to porcine epidemic diarrhea virus. Virus Research 2014, 197: 108-115. PMID: 25550073, PMCID: PMC7114392, DOI: 10.1016/j.virusres.2014.12.024.Peer-Reviewed Original ResearchConceptsSusceptible to porcine epidemic diarrhea virusPorcine epidemic diarrhea virusDiarrhea virusPorcine coronavirusPorcine APNLaboratory animal modelsPorcine aminopeptidase NPorcineAminopeptidase NCoronavirus infectionRespiratory diseaseTransgenic miceAnimal modelsCoronavirus studiesVirusPigsMiceInfectionTransgeneSusceptibilityStudy of Associated Genetic Variants in Indian Subjects Reveals the Basis of Ethnicity Related Differences in Susceptibility to Venous Thromboembolism
Kumari B, Srivastava S, Chatterjee T, Vardhan R, Tyagi T, Gupta N, Sahu A, Chandra K, Ashraf M. Study of Associated Genetic Variants in Indian Subjects Reveals the Basis of Ethnicity Related Differences in Susceptibility to Venous Thromboembolism. Thrombosis 2014, 2014: 182762. PMID: 25349733, PMCID: PMC4198785, DOI: 10.1155/2014/182762.Peer-Reviewed Original ResearchProthrombin 20210G/AGenetic variantsAssociated genetic variantsTissue factor pathway inhibitorT mutationCandidate genesGenesMutationsPlasminogen activator inhibitor-1Protective variantsPathway inhibitorActivator inhibitor-1Inhibitor-1Susceptibility of individualsPCR-RFLPFactor pathway inhibitorSusceptibility of IndiansVariantsSusceptibilityMTHFR geneInhibitors
2013
Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
Beecham A, Patsopoulos N, Xifara D, Davis M, Kemppinen A, Cotsapas C, Shah T, Spencer C, Booth D, Goris A, Oturai A, Saarela J, Fontaine B, Hemmer B, Martin C, Zipp F, D'Alfonso S, Martinelli-Boneschi F, Taylor B, Harbo H, Kockum I, Hillert J, Olsson T, Ban M, Oksenberg J, Hintzen R, Barcellos L, Agliardi C, Alfredsson L, Alizadeh M, Anderson C, Andrews R, Søndergaard H, Baker A, Band G, Baranzini S, Barizzone N, Barrett J, Bellenguez C, Bergamaschi L, Bernardinelli L, Berthele A, Biberacher V, Binder T, Blackburn H, Bomfim I, Brambilla P, Broadley S, Brochet B, Brundin L, Buck D, Butzkueven H, Caillier S, Camu W, Carpentier W, Cavalla P, Celius E, Coman I, Comi G, Corrado L, Cosemans L, Cournu-Rebeix I, Cree B, Cusi D, Damotte V, Defer G, Delgado S, Deloukas P, di Sapio A, Dilthey A, Donnelly P, Dubois B, Duddy M, Edkins S, Elovaara I, Esposito F, Evangelou N, Fiddes B, Field J, Franke A, Freeman C, Frohlich I, Galimberti D, Gieger C, Gourraud P, Graetz C, Graham A, Grummel V, Guaschino C, Hadjixenofontos A, Hakonarson H, Halfpenny C, Hall G, Hall P, Hamsten A, Harley J, Harrower T, Hawkins C, Hellenthal G, Hillier C, Hobart J, Hoshi M, Hunt S, Jagodic M, Jelčić I, Jochim A, Kendall B, Kermode A, Kilpatrick T, Koivisto K, Konidari I, Korn T, Kronsbein H, Langford C, Larsson M, Lathrop M, Lebrun-Frenay C, Lechner-Scott J, Lee M, Leone M, Leppä V, Liberatore G, Lie B, Lill C, Lindén M, Link J, Luessi F, Lycke J, Macciardi F, Männistö S, Manrique C, Martin R, Martinelli V, Mason D, Mazibrada G, McCabe C, Mero I, Mescheriakova J, Moutsianas L, Myhr K, Nagels G, Nicholas R, Nilsson P, Piehl F, Pirinen M, Price S, Quach H, Reunanen M, Robberecht W, Robertson N, Rodegher M, Rog D, Salvetti M, Schnetz-Boutaud N, Sellebjerg F, Selter R, Schaefer C, Shaunak S, Shen L, Shields S, Siffrin V, Slee M, Sorensen P, Sorosina M, Sospedra M, Spurkland A, Strange A, Sundqvist E, Thijs V, Thorpe J, Ticca A, Tienari P, van Duijn C, Visser E, Vucic S, Westerlind H, Wiley J, Wilkins A, Wilson J, Winkelmann J, Zajicek J, Zindler E, Haines J, Pericak-Vance M, Ivinson A, Stewart G, Hafler D, Hauser S, Compston A, McVean G, De Jager P, Sawcer S, McCauley J. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis. Nature Genetics 2013, 45: 1353-1360. PMID: 24076602, PMCID: PMC3832895, DOI: 10.1038/ng.2770.Peer-Reviewed Original Research
2012
Age-associated variability in susceptibility of Swiss Webster mice to MPV and other excluded murine pathogens.
Grove KA, Smith PC, Booth CJ, Compton SR. Age-associated variability in susceptibility of Swiss Webster mice to MPV and other excluded murine pathogens. Journal Of The American Association For Laboratory Animal Science 2012, 51: 789-96. PMID: 23294885, PMCID: PMC3508183.Peer-Reviewed Original ResearchConceptsSwiss Webster miceSoiled-bedding sentinelsInfectious agentsMouse parvovirusWebster miceMurine pathogenHealth surveillance protocolsAge-associated variabilityMode of transmissionContact sentinelsIndex miceSentinel miceMice ageHealth surveillanceMiceLocal pet storesMurine coloniesHost susceptibilityResearch colonyAgeSentinelsAgentsSusceptibilityPet storesPathogens
2010
Using a Pharmacokinetic Model to Relate an Individual’s Susceptibility to Alcohol Dependence to Genotypes
Mustavich LF, Miller P, Kidd KK, Zhao H. Using a Pharmacokinetic Model to Relate an Individual’s Susceptibility to Alcohol Dependence to Genotypes. Human Heredity 2010, 70: 177-193. PMID: 20714161, PMCID: PMC3164201, DOI: 10.1159/000317056.Peer-Reviewed Original ResearchConceptsMolecular levelStatistical gene-gene interactionsTissues of individualsGenetic variationGene-gene interactionsMolecular mechanismsGenesParticular genotypeHaplotype frequenciesPopulation levelGenotype effectsDisease riskIndividual susceptibilityMechanistic modelGenotypesADH7SusceptibilityCommon diseaseMechanistic modelingInteractionADH1CALDH2ADH1BStatistical interactionTAS2R38
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