Search results for "POPULATION"

showing 10 items of 9945 documents

Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes

2016

International audience; Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associa…

0301 basic medicineSerumMaleLymphomaanalysisChronic lymphocytic leukemiaFollicular lymphomaGlobal Health[ SDV.CAN ] Life Sciences [q-bio]/Cancerimmunologysurgery0302 clinical medicineEndocrinologyimmune system diseasessingle nucleotide polymorphismGermanyhemic and lymphatic diseasesLondon80 and overOdds RatiogeneticsProspective StudiesB-cell lymphomaAssociation Studies ArticleGenetics (clinical)Aged 80 and overeducation.field_of_studytelomereGenomeLeukemiaAge FactorsGeneral MedicineEnvironmental exposureGenomicsMiddle Agedb-cell lymphomasmall cell lymphomaItaly030220 oncology & carcinogenesisMedicineepidemiologyFemaleFranceRisk of B-cell lymphoma subtypesRiskAdultCanadaChinaLymphoma B-CellGenotypeAdolescentleukocytesetiologyPopulationPopulation[SDV.CAN]Life Sciences [q-bio]/CancerBiologyEnvironmentRisk AssessmentmethodsTime03 medical and health sciencesmedicineHumansFamilyGenetic Predisposition to DiseaseeducationMolecular BiologyAllelesOccupational HealthGenetic Association StudiesAgedB-CellInternational AgenciesOdds ratioEnvironmental Exposuremedicine.diseaseTelomereNon-Hodgkin's lymphoma030104 developmental biologyImmunologyphysiologyChronic DiseasepathologyLaboratoriesmetabolism
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Norovirus GII.17 as Major Epidemic Strain in Italy, Winter 2015–16

2017

In winter 2015-16, norovirus GII.17 Kawasaki 2014 emerged as a cause of sporadic gastroenteritis in children in Italy. Median patient age was higher for those with GII.17 than GII.4 infection (55 vs. 24 months), suggesting limited cross-protection for older children.

0301 basic medicineSettore MED/07 - Microbiologia E Microbiologia ClinicaEpidemiologyviruseslcsh:Medicinemedicine.disease_causeDisease Outbreaksfluids and secretionsEpidemiologyChildEpidemic strainCaliciviridae InfectionsNorovirus GIIvirus diseasesInfectious DiseasesItalyChild PreschoolPopulation SurveillanceSeasonsgastroenteritigastroenteritisNorovirus GII.17 as Major Epidemic Strain in Italy Winter 2015–16Microbiology (medical)medicine.medical_specialtyAdolescentGenotype030106 microbiologyenteric infectionHistory 21st Centurylcsh:Infectious and parasitic diseasesOpen Reading Frames03 medical and health sciencesPatient ageResearch LettermedicineHumansviruseslcsh:RC109-216Noroviruvirusebusiness.industryenteric infectionsNoroviruslcsh:RInfant NewbornInfantGII.17 Kawasaki 2014Virology030104 developmental biologyNorovirusbusinessEmerging Infectious Diseases
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Temporal variation in the distribution of type-1 human astrovirus lineages in a settled population over 14 years.

2016

Human astroviruses (HAstVs) are important enteric pathogens that are genetically and antigenically heterogeneous and can be classified into eight sero/genotypes (HAstV-1 to -8) and different lineages within each HAstV type. This study describes the genetic diversity of HAstVs circulating in southern Italy over 14 years. Molecular analysis of HAstV-1 strains showed that three different lineages (1a, 1b and 1d) of the predominant genotype were circulating during the study period. The study of an archival collection of HAstV strains offers a unique opportunity to evaluate the patterns of variation of HAstV infections over the years and to correlate the observed epidemiological changes to the g…

0301 basic medicineSettore MED/07 - Microbiologia E Microbiologia Clinicamedicine.medical_specialtyTime FactorsGenotypePopulationGenome ViralBiology03 medical and health sciencesOpen Reading FramesMedical microbiologyVirologyAstroviridae InfectionsAstrovirus genotyping ItalyGenotypemedicineHumansGenetic variabilityeducationPhylogenyGeneticseducation.field_of_studyGenetic diversityMolecular EpidemiologyGenetic VariationGeneral MedicineHuman astrovirusMolecular analysis030104 developmental biologyItalyMamastrovirusArchives of virology
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NUTRITION, OXIDATIVE STRESS AND INTESTINAL DYSBIOSIS: INFLUENCE OF DIET ON GUT MICROBIOTA IN INFLAMMATORY BOWEL DISEASES.

2016

Background: Microbiota refers to the population of microorganisms (bacteria, viruses and fungi) that inhabit the entire gastrointestinal tract, more particularly the colon whose role is to maintain the integrity of the intestinal mucosa and control the proliferation of pathogenic bacteria. Alteration in the composition of the gut microbiota is called dysbiosis. Dysbiosis redisposes to inflammatory bowel diseases such as ulcerative colitis, Crohn disease and indeterminate colitis. Methods: The purpose of this literature review is to elucidate the influence of diet on the composition of the gastrointestinal microbiota in the healthy gut and the role of diet in the development of dysbiosis. Co…

0301 basic medicineSettore MED/09 - Medicina InternaPopulationhealthy dietlcsh:MedicineNutritional Statuscolorectal cancerGut floramedicine.disease_causeintestinal dysbiosisInflammatory bowel diseaseGeneral Biochemistry Genetics and Molecular BiologyMicrobiology03 medical and health sciences0302 clinical medicineIntestinal mucosaInflammatory Bowel diseases colorectal cancer intestinal dysbiosis gut microbiota MALT healthy diet.medicineOily fishHumanseducationeducation.field_of_studybiologygut microbiotabusiness.industrylcsh:RPathogenic bacteriamedicine.diseasebiology.organism_classificationInflammatory Bowel DiseasesUlcerative colitisDietGastrointestinal MicrobiomeOxidative StressSettore MED/18 - Chirurgia Generale030104 developmental biology030220 oncology & carcinogenesisImmunologyDysbiosisbusinessDysbiosis
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Assessing statistical significance in multivariable genome wide association analysis

2016

Motivation: Although Genome Wide Association Studies (GWAS) genotype a very large number of single nucleotide polymorphisms (SNPs), the data are often analyzed one SNP at a time. The low predictive power of single SNPs, coupled with the high significance threshold needed to correct for multiple testing, greatly decreases the power of GWAS. Results: We propose a procedure in which all the SNPs are analyzed in a multiple generalized linear model, and we show its use for extremely high-dimensional datasets. Our method yields P-values for assessing significance of single SNPs or groups of SNPs while controlling for all other SNPs and the family wise error rate (FWER). Thus, our method tests whe…

0301 basic medicineStatistics and Probability1303 BiochemistryGenotypeOperations researchLibrary sciencePolymorphism Single NucleotideBiochemistryGerman03 medical and health sciences10007 Department of EconomicsPolitical scienceGenome-Wide Association Analysis1312 Molecular Biology1706 Computer Science ApplicationsCluster AnalysisHumansComputer Simulation2613 Statistics and ProbabilityMolecular BiologyEuropean researchGenetics and Population AnalysisComputational BiologyReproducibility of ResultsOriginal Paperslanguage.human_languageComputer Science Applications330 EconomicsComputational MathematicsPhenotype030104 developmental biologyComputational Theory and MathematicsLinear Modelslanguage2605 Computational MathematicsGenome-Wide Association Study1703 Computational Theory and Mathematics
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Two-Stage Bayesian Approach for GWAS With Known Genealogy

2019

Genome-wide association studies (GWAS) aim to assess relationships between single nucleotide polymorphisms (SNPs) and diseases. They are one of the most popular problems in genetics, and have some peculiarities given the large number of SNPs compared to the number of subjects in the study. Individuals might not be independent, especially in animal breeding studies or genetic diseases in isolated populations with highly inbred individuals. We propose a family-based GWAS model in a two-stage approach comprising a dimension reduction and a subsequent model selection. The first stage, in which the genetic relatedness between the subjects is taken into account, selects the promising SNPs. The se…

0301 basic medicineStatistics and ProbabilityBayesian probabilityPopulationSingle-nucleotide polymorphismGenome-wide association studyComputational biologyEstadísticaBiologyKinship coefficientModel selection01 natural sciencesBeta-thalassemia010104 statistics & probability03 medical and health sciencesBeta-thalassemia disorderModelsRobust prior distributionRegularizationDiscrete Mathematics and Combinatorics0101 mathematicsStage (cooking)Genetic associationGenome-wide associationModel selectionVariable-selectionProbability and statisticsBayes factorRegressionBayes factor030104 developmental biologyPhenotypeStatistics Probability and UncertaintyGaussian Markov random field
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A generalization of Kingman's model of selection and mutation and the Lenski experiment.

2017

Kingman’s model of selection and mutation studies the limit type value distribution in an asexual population of discrete generations and infinite size undergoing selection and mutation. This paper generalizes the model to analyze the long-term evolution of Escherichia. coli in Lenski experiment. Weak assumptions for fitness functions are proposed and the mutation mechanism is the same as in Kingman’s model. General macroscopic epistasis are designable through fitness functions. Convergence to the unique limit type distribution is obtained.

0301 basic medicineStatistics and ProbabilityGeneralizationPopulationBiology01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010104 statistics & probability03 medical and health sciencesStatisticsEscherichia coliApplied mathematicsQuantitative Biology::Populations and EvolutionLimit (mathematics)0101 mathematicsSelection GeneticeducationSelection (genetic algorithm)education.field_of_studyFitness functionGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineQuantitative Biology::GenomicsBiological Evolution030104 developmental biologyDistribution (mathematics)Modeling and SimulationMutation (genetic algorithm)MutationEpistasisGeneral Agricultural and Biological SciencesMathematical biosciences
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Reference genome assessment from a population scale perspective: an accurate profile of variability and noise.

2017

Abstract Motivation Current plant and animal genomic studies are often based on newly assembled genomes that have not been properly consolidated. In this scenario, misassembled regions can easily lead to false-positive findings. Despite quality control scores are included within genotyping protocols, they are usually employed to evaluate individual sample quality rather than reference sequence reliability. We propose a statistical model that combines quality control scores across samples in order to detect incongruent patterns at every genomic region. Our model is inherently robust since common artifact signals are expected to be shared between independent samples over misassembled regions …

0301 basic medicineStatistics and ProbabilityQuality ControlGenotypeComputer sciencemedia_common.quotation_subjectPopulationGenomicsBioinformaticscomputer.software_genreBiochemistryGenome03 medical and health sciencesGenetic variationAnimalsHumansQuality (business)AlleleeducationMolecular BiologyGenotypingReliability (statistics)media_commonProtocol (science)education.field_of_studyGenomeModels StatisticalGenetic VariationReproducibility of ResultsGenomicsGenome AnalysisOriginal PapersComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsData miningcomputerSoftwareReference genome
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Simulation-based estimation of branching models for LTR retrotransposons

2017

Abstract Motivation LTR retrotransposons are mobile elements that are able, like retroviruses, to copy and move inside eukaryotic genomes. In the present work, we propose a branching model for studying the propagation of LTR retrotransposons in these genomes. This model allows us to take into account both the positions and the degradation level of LTR retrotransposons copies. In our model, the duplication rate is also allowed to vary with the degradation level. Results Various functions have been implemented in order to simulate their spread and visualization tools are proposed. Based on these simulation tools, we have developed a first method to evaluate the parameters of this propagation …

0301 basic medicineStatistics and ProbabilitySource codeTheoretical computer scienceRetroelementsmedia_common.quotation_subjectRetrotransposon[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiologyBiochemistryGenomeChromosomesBranching (linguistics)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SoftwareAnimalsComputer SimulationMolecular BiologyComputingMilieux_MISCELLANEOUSmedia_commoncomputer.programming_languageGeneticsGenomeModels Geneticbusiness.industry[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Python (programming language)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsVisualizationComputational Mathematics030104 developmental biologyDrosophila melanogasterComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Programming Languages[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Mobile genetic elements[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerSoftware
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Evolutionary distances corrected for purifying selection and ancestral polymorphisms.

2019

Abstract Evolutionary distance formulas that take into account effects due to ancestral polymorphisms and purifying selection are obtained on the basis of the full solution of Jukes–Cantor and Kimura DNA substitution models. In the case of purifying selection two different methods are developed. It is shown that avoiding the dimensional reduction implicitly carried out in the conventional model solving is instrumental to incorporate the quoted effects into the formalism. The problem of estimating the numerical values of the model parameters, as well as those of the correction terms, is not addressed.

0301 basic medicineStatistics and ProbabilityTime FactorsADNModel parametersGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesNegative selection0302 clinical medicineQuantitative Biology::Populations and EvolutionStatistical physicsSelection GeneticMolecular clockPhylogenyMathematicsPolymorphism GeneticGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineModels biològicsQuantitative Biology::GenomicsBiological EvolutionFormalism (philosophy of mathematics)030104 developmental biologyDimensional reductionModeling and SimulationMutationGeneral Agricultural and Biological Sciences030217 neurology & neurosurgeryEvolució (Biologia)Journal of theoretical biology
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