Search results for "MESH: Genetic Markers"

showing 5 items of 5 documents

Diversifying selection on MHC class I in the house sparrow (Passer domesticus).

2009

10 pages; International audience; Genes of the major histocompatibility complex (MHC) are the most polymorphic loci known in vertebrates. Two main hypotheses have been put forward to explain the maintenance of MHC diversity: pathogen-mediated selection and MHC-based mate choice. Host-parasite interactions can maintain MHC diversity via frequency-dependent selection, heterozygote advantage, and diversifying selection (spatially and/or temporally heterogeneous selection). In this study, we wished to investigate the nature of selection acting on the MHC class I across spatially structured populations of house sparrows (Passer domesticus) in France. To infer the nature of the selection, we comp…

0106 biological sciencesMESH : Gene FlowMESH: Selection (Genetics)MESH: GeographyGenes MHC Class IMESH: Genetic MarkersBalancing selectionMESH : Microsatellite Repeats[ SDV.IMM.IA ] Life Sciences [q-bio]/Immunology/Adaptive immunology01 natural sciencesmicrosatellitesMESH: SparrowsMESH : Genetic MarkersMESH: AnimalsMESH: Genetic VariationMESH: Evolution MolecularGenetics0303 health scienceseducation.field_of_studyGeographybiology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]MESH : GeographyMESH: Genes MHC Class I[ SDE.MCG ] Environmental Sciences/Global Changes[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE][SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunologyMate choiceMESH: Stochastic ProcessesMHC class IMESH : MutationSparrowsGene FlowGenetic MarkersMESH: Mutationbalancing selection[SDE.MCG]Environmental Sciences/Global ChangesPopulationMESH : Genetic DriftMESH: Genetics Populationchemical and pharmacologic phenomenaMESH : Stochastic ProcessesMajor histocompatibility complex010603 evolutionary biologyMESH : Genes MHC Class IEvolution Molecular03 medical and health sciencesMESH : Genetic VariationMHC class IGeneticsPasser domesticusMESH : Selection (Genetics)AnimalsMESH : Evolution MolecularSelection GeneticMESH: Genetic DrifteducationAllelesMESH: Gene FlowEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologyLocal adaptationIsolation by distanceStochastic Processes[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologyhouse sparrowMESH: AllelesGenetic DriftGenetic Variationdiversifying selectionPasser domesticus.[ SDV.GEN.GA ] Life Sciences [q-bio]/Genetics/Animal geneticsMESH : Genetics Population[SDE.ES]Environmental Sciences/Environmental and Society[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal geneticsGenetics PopulationEvolutionary biologyMutationbiology.proteinMESH: Microsatellite RepeatsMESH : AnimalsMESH : Sparrows[SDE.BE]Environmental Sciences/Biodiversity and EcologyMESH : Alleles[ SDE.ES ] Environmental Sciences/Environmental and SocietyMicrosatellite Repeats
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Distinct Clones of Yersinia pestis Caused the Black Death

2010

From AD 1347 to AD 1353, the Black Death killed tens of millions of people in Europe, leaving misery and devastation in its wake, with successive epidemics ravaging the continent until the 18th century. The etiology of this disease has remained highly controversial, ranging from claims based on genetics and the historical descriptions of symptoms that it was caused by Yersinia pestis to conclusions that it must have been caused by other pathogens. It has also been disputed whether plague had the same etiology in northern and southern Europe. Here we identified DNA and protein signatures specific for Y. pestis in human skeletons from mass graves in northern, central and southern Europe that …

Yersinia pestis[SDV]Life Sciences [q-bio]Sequence HomologyDiseaseMESH: Base SequenceMESH: Genetic Markers[SHS]Humanities and Social SciencesDisease OutbreaksInfectious Diseases/Bacterial InfectionsMESH: GenotypeGenotypeMass ScreeningBiology (General)MESH: Disease OutbreaksMESH: PhylogenyCladePhylogenyGenetics0303 health sciencesMicrobiology/Microbial Evolution and GenomicsbiologyClones; Yersinia pestis; Black DeathBacterialGenetics and Genomics/Microbial Evolution and Genomics3. Good healthEuropeEvolutionary Biology/Human EvolutionInfectious DiseasesResearch ArticleDNA BacterialGenetic MarkersGenotypeQH301-705.5Molecular Sequence DataImmunologyMESH: Yersinia pestisZoologyMolecular Biology/Molecular EvolutionPlague (disease)MESH: PlagueMESH: Sequence Homology Nucleic AcidMicrobiologyNO03 medical and health sciencesPhylogeneticsSequence Homology Nucleic AcidVirologyGeneticsHumansMESH: Mass ScreeningEpidemicsMolecular BiologyMESH: EpidemicsMass screening030304 developmental biologyPlagueEvolutionary BiologyMESH: HumansMESH: Molecular Sequence DataNucleic AcidBase Sequence030306 microbiologyGenetics and GenomicsDNARC581-607biology.organism_classificationMESH: DNA BacterialYersinia pestisBase Sequence; DNA Bacterial; Disease Outbreaks; Epidemics; Europe; Genetic Markers; Genotype; Humans; Mass Screening; Molecular Sequence Data; Phylogeny; Plague; Sequence Homology Nucleic Acid; Yersinia pestisEtiologyParasitologyMESH: EuropeImmunologic diseases. Allergy
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Ageing, longevity, exceptional longevity and related genetic and non genetics markers: panel statement

2018

In May 2012, a group of scientists and clinicians met in Athens (Greece) to consider the relevance of ageing, longevity, exceptional longevity and related genetic and non genetic markers. During this meeting, we firstly reviewed recent epidemiological and clinical studies on ageing, longevity and exceptional longevity, briefly analysed the ageing theories and discussed successful and unsuccessful ageing also taking into account the evolutionary perspective. Secondly, we considered the three phenotypes based on the definition of ageing, longevity and exceptional longevity and the associated biomarkers. Third, we discussed proposed treatments suitable to counteract or slow down ageing. Finall…

Genetic MarkersGerontologyAgingStatement (logic)media_common.quotation_subjectLongevityMESH: Genetic MarkersBiologyMESH: Phenotype[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemGenetic MarkerAnimalsHumansMESH: AgingMESH: AnimalsComputingMilieux_MISCELLANEOUSmedia_commonPharmacologyMESH: HumansAnimalLongevityCongresses as TopicPhenotypeAgeing Longevity Age-related diseasesMESH: LongevityAgeingBiological MarkerMESH: BiomarkersCardiology and Cardiovascular MedicineMESH: Congresses as TopicBiomarkersHuman
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Using a Multi-Locus Microsatellite Typing method improved phylogenetic distribution of Candida albicans isolates but failed to demonstrate associatio…

2012

EA MERS CT3 Enjeu 3; International audience; The dimorphic yeast Candida albicans is a component of the normal microflora at the mucosal surfaces of healthy individuals. It possesses an array of phenotypic properties considered as virulence traits that contribute to pathogenicity of the yeast in immuno-compromised patients. We addressed the question of the pathogenicity of lineages of C. albicans with regard to their genotype in three series of C. albicans isolates (a series of commensal isolates collected in healthy individuals, a group of bloodstream isolates and a group of non-bloodstream clinical isolates) using a Multi-Locus Microsatellite Typing (MLMT) approach based on the analysis o…

MESH: Genetic MarkersMESH : Microsatellite RepeatsMESH : CandidiasisGenotypeCandida albicansMESH : Genetic MarkersDNA FungalMycological Typing TechniquesCandida albicansMESH : Mycological Typing TechniquesMESH: PhylogenyPhylogeny[ SDV.MP.MYC ] Life Sciences [q-bio]/Microbiology and Parasitology/Mycology[SDV.MP.MYC]Life Sciences [q-bio]/Microbiology and Parasitology/MycologyGenetics0303 health sciencesbiologyCandidiasisFungal geneticsAllelic frequenciesMESH: Case-Control StudiesCorpus albicansMESH: CandidiasisInfectious DiseasesMESH : Carrier StateCarrier StateMicrosatelliteMESH: Carrier StateGenetic MarkersMicrobiology (medical)MESH : Case-Control StudiesGenotypingMESH : Candida albicansGenes FungalMicrobiologyMicrobiology03 medical and health sciencesMESH: Mycological Typing TechniquesGeneticsHumansPathogenicityTypingLineagesMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biologyMESH: Humans030306 microbiologyMESH: Candida albicansMESH : HumansUPGMAMESH : Phylogenybiology.organism_classificationMESH: DNA FungalCase-Control StudiesMultilocus sequence typingMLMTMESH : Genes FungalMESH: Microsatellite RepeatsMESH : DNA FungalMESH: Genes FungalMicrosatellite Repeats
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Smoking and FOS expression from blood leukocyte transcripts in patients with coronary artery disease.

2011

International audience; OBJECTIVE: Analysis of the leukocyte transriptome, in particular the Finkel-Biskis-Jinkins Osteosarcoma (c-Fos) gene, which has a prominent role in inflammation, provides new insights into atherosclerosis mechanisms. Although smoking is a major risk factor, the links between smoking status and coronary artery disease (CAD) remains unclear. We aimed to analyze the relationship between smoking status and c-Fos expression in circulating leukocytes of patients with CAD. METHODS: c-Fos expression was measured by RT-Q-PCR, from blood leukocytes of 239 consecutive patients after acute myocardial infarction (MI). The patients were asked about their smoking status and stratif…

MaleMESH : RNA MessengerMESH: Chi-Square DistributionMESH : LeukocytesMESH : Prospective StudiesMESH : AgedMyocardial InfarctionSmoking PreventionMESH: Risk Assessmentc-FosMESH : Coronary Angiography0302 clinical medicineMESH : Genetic MarkersProspective StudiesMESH: Coronary Artery DiseaseAged 80 and over0303 health sciencesMESH: Middle AgedGenes fosMESH: Smoking Cessation3. Good healthMESH : SmokingMESH: Myocardial InfarctionOsteosarcomaSmoking statusCardiology and Cardiovascular MedicineGenetic Markersmedicine.medical_specialtyRisk AssessmentMESH: Leukocytes03 medical and health sciences[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemHumansMESH : Middle AgedRNA MessengerMESH : Coronary Artery DiseaseRisk factorMESH : Aged 80 and overAgedChi-Square DistributionMESH: HumansMESH : Chi-Square DistributionMESH : Smoking CessationMESH : Humansmedicine.diseaseMESH: Coronary AngiographyLinear ModelsMESH: FemaleBlood leukocyte transcriptomeMESH : Genes fos030204 cardiovascular system & hematologyMESH: Genetic MarkersBioinformaticsCoronary AngiographyCoronary artery diseaseMESH: Linear ModelsCoronary artery diseaseMESH: Aged 80 and overRisk FactorsMESH: Risk FactorsMESH : Linear ModelsLeukocytesMESH : FemaleMESH : Risk AssessmentMESH: Agedc-FosbiologySmoking[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemMiddle AgedMESH : Risk Factors[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemCardiologyFemaleFrancemedicine.symptomInflammation MediatorsMESH: SmokingMESH : MaleMESH: Inflammation MediatorsInflammationMESH: Genes fosMESH: Multivariate AnalysisMESH : Inflammation MediatorsInternal medicinemedicineIn patientMESH : France030304 developmental biologyMESH: RNA Messengerbusiness.industryMESH : Multivariate AnalysisMESH: MaleMESH: Prospective StudiesMESH: FranceMultivariate Analysisbiology.proteinSmoking CessationMESH : Myocardial Infarctionbusiness
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