Search results for " Disequilibrium"

showing 10 items of 161 documents

APOE epsilon variation in multiple sclerosis susceptibility and disease severity: some answers

2006

Background: Previous studies have examined the role of APOE variation in multiple sclerosis (MS), but have lacked the statistical power to detect modest genetic influences on risk and disease severity. The meta- and pooled analyses presented here utilize the largest collection, to date, of MS cases, controls, and families genotyped for the APOE epsilon polymorphism. Methods: Studies of MS and APOE were identified by searches of PubMed, Biosis, Web of Science, Cochrane Review, and Embase. When possible, authors were contacted for individual genotype data. Meta-analyses of MS case-control data and family-based analyses were performed to assess the association of APOE epsilon genotype with dis…

Apolipoprotein EOncologyRiskmedicine.medical_specialtyPathologyMultiple SclerosisGenotypeApolipoprotein E2Apolipoprotein E4Polymorphism Single NucleotideSeverity of Illness IndexLinkage DisequilibriumPrimary progressiveCentral nervous system disease03 medical and health sciences0302 clinical medicineApolipoproteins EDisease severityPolymorphism (computer science)Internal medicineGenotypemedicineHumansGenetic Predisposition to Disease10. No inequalityAlleles030304 developmental biology0303 health sciencesExpanded Disability Status ScalePolymorphism GeneticScience & Technologybusiness.industryMultiple sclerosismedicine.disease3. Good healthPedigreePhenotypeCase-Control StudiesSettore MED/26 - NeurologiaNeurology (clinical)businessMultiple Sclerosis APOE disease severity meta-analysis030217 neurology & neurosurgery
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A TNF-α Promoter Polymorphism Is Associated with Juvenile Onset Psoriasis and Psoriatic Arthritis

1997

Tumor necrosis factor-α is considered to be one of the important mediators in the pathogenesis of psoriasis. A strong association of juvenile onset psoriasis with the major histocompatibility complex encoded HLA-Cw6 antigen has been reported but it is unclear whether Cw6 itself or a closely linked gene is involved in the pathogenesis. This study has focused on the association of promoter polymorphisms of the major histocompatibility complex encoded tumor necrosis factor-α gene with psoriasis and psoriatic arthritis. Tumor necrosis factor-α promoter polymorphisms were sought by sequence-specific oligonucleotide hybridization and by direct sequencing in Caucasian patients with juvenile onset …

ArthritisCell BiologyDermatologyHuman leukocyte antigenBiologymedicine.diseaseMajor histocompatibility complexBiochemistrycytokinesmajor histocompatibility complexPathogenesisPsoriatic arthritisPsoriasisImmunologymedicinebiology.proteinTumor necrosis factor alphaHLA antigensAge of onsetMolecular Biologylinkage disequilibriumJournal of Investigative Dermatology
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Bicausative matrices to measure structural change: Are they a good tool?

1999

The causative-matrix method to analyze temporal change assumes that a matrix transforms one Markovian transition matrix into another by a left multiplication of the first matrix; the method is demand-driven when applied to input-output economics. An extension is presented without assuming the demand-driven or supply-driven hypothesis. Starting from two flow matrices X and Y, two diagonal matrices are searched, one premultiplying and the second postmultiplying X, to obtain a result the closer as possible to Y by least squares. The paper proves that the method is deceptive because the diagonal matrices are unidentified and the interpretation of results is unclear. Keywords : Input-Output ; Ch…

BiproportionBicausativePure mathematicsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelsjel:C63jel:C67JEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisLeast squaresMeasure (mathematics)Interpretation (model theory)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingSylvester's law of inertiaMatrix (mathematics)Diagonal matrixStatisticsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceGeneral Environmental ScienceMathematicsJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelseconomic theoryhumanities social sciencessciences humaines et socialesStochastic matrixStructural ChangeGeneral Social Scienceseconomics[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:D57CausativeJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingChaosMultiplicationThe Annals of Regional Science
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Forecast Output Coincidence and Biproportion: Two Criteria to Determine the Orientation of an Economy. Comparison for France (1980-1997)

2002

International audience; The method of forecast output coincidence used to determine if sectors are demand-sided or supply-sided in an input-output framework mixes two effects, the structural effect (choosing between demand and supply side models) and the effect of an exogenous factor (final demand or added-value). The note recalls that another method is possible, the comparison of the stability of technical and allocation coefficients, generalized by the biproportional filter: if for a sector, after biproportional filtering, column coefficients are more stable than row coefficients, then this sector is declared as not supply-sided (but one cannot decide that it is demand-sided anyway), and …

BiproportionEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsSupplyChangeJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisStability (probability)Column (database)CoincidenceSupply and demandMicroeconomicsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingEconometricsEconomicsDemandJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceInput/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsOrientation (computer vision)Exogenous factorFilter (signal processing)[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingInput-OutputRAS
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A biproportional filter to compare technical and allocation coefficient variations

1997

International audience; In input-output analysis there are two alternate possibilities between Leontief's mechanism (fixed technical coefficients) and Ghosh's mechanism (fixed allocation coefficients). Testing the long term consistency of these mechanisms entails comparing input-output matrices over time. This paper challenges the value of proportional filters (separate comparison of column and row coefficients) and introduces the biproportional filter which allows simultaneous comparison of column and rows. An application is proposed using French input-output tables for 1980 and 1993. The stability of column coefficients cannot be taken for granted and generally, for any sector, both rows …

BiproportionSupply-drivenJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsChangeJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisEnvironmental Science (miscellaneous)DevelopmentRow and column spacesStability (probability)Column (database)Consistency (statistics)Demand-drivenStatisticsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONApplied mathematicsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMathematicsInput/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Models[SHS.ECO]Humanities and Social Sciences/Economics and FinanceTerm (time)Input-OutputFilter (video)RowRAS
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X Chromosome Contribution to the Genetic Architecture of Primary Biliary Cholangitis

2021

Background & aims: Genome-wide association studies in primary biliary cholangitis (PBC) have failed to find X chromosome (chrX) variants associated with the disease. Here, we specifically explore the chrX contribution to PBC, a sexually dimorphic complex autoimmune disease. Methods: We performed a chrX-wide association study, including genotype data from 5 genome-wide association studies (from Italy, United Kingdom, Canada, China, and Japan; 5244 case patients and 11,875 control individuals). Results: Single-marker association analyses found approximately 100 loci displaying P < 5 × 10-4, with the most significant being a signal within the OTUD5 gene (rs3027490; P = 4.80 × 10-6; odds…

Canadian-US PBC Consortium0301 basic medicineMaleLinkage disequilibriumGenome-wide association studyDiseasePBCSettore MED/03 - GENETICA MEDICALinkage Disequilibrium0302 clinical medicineUK-PBC ConsortiumGenotypeMitochondrial Precursor Protein Import Complex ProteinsItalian PBC Genetics Study GroupOdds RatioX-Wide Association StudyJapan PBC-GWAS ConsortiumX chromosomeGeneticsLiver Cirrhosis BiliaryGastroenterologyForkhead Transcription FactorsDNA-Binding ProteinsShal Potassium Channels030211 gastroenterology & hepatologyFemaleAdultMonosaccharide Transport ProteinsSuperenhancerLocus (genetics)Single-nucleotide polymorphismBiologyProtein Serine-Threonine KinasesPolymorphism Single NucleotideArticleWhite People03 medical and health sciencesAsian PeopleProto-Oncogene ProteinsEndopeptidasesHumansCell LineageGenetic Predisposition to DiseaseMeta-analysiGenetic associationChromosomes Human XGastroenterology & HepatologyHepatology1103 Clinical SciencesMeta-analysis030104 developmental biologyGenetic Loci1114 Paediatrics and Reproductive MedicineMeta-analysis; Superenhancer; X-Wide Association Study1109 NeurosciencesCarrier ProteinsGenome-Wide Association Study
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The analysis of 51 genes in DSM-IV combined type attention deficit hyperactivity disorder: association signals in DRD4, DAT1 and 16 other genes.

2006

Contains fulltext : 35205.pdf (Publisher’s version ) (Closed access) Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder, starting in early childhood and persisting into adulthood in the majority of cases. Family and twin studies have demonstrated the importance of genetic factors and candidate gene association studies have identified several loci that exert small but significant effects on ADHD. To provide further clarification of reported associations and identify novel associated genes, we examined 1,038 single-nucleotide polymorphisms (SNPs) spanning 51 candidate genes involved in the regulation of neurotransmitter pathways, particularly dopamine, nor…

Candidate geneGenetics and epigenetic pathways of disease [NCMLS 6]MedizinReceptors NicotinicTryptophan HydroxylaseNeuroinformatics [DCN 3]0302 clinical medicinePerception and Action [DCN 1]Determinants in Health and Disease [EBP 1]ChildOncogene ProteinsGenetics0303 health sciencesbiologyDNA POOLING ANALYSISPedigree3. Good healthserotoninPsychiatry and Mental healthConduct disorderChild Preschool/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingMonoamine oxidase AdopaminePsychologyFunctional Neurogenomics [DCN 2]Genetic MarkersAdolescentSynaptosomal-Associated Protein 25Single-nucleotide polymorphismassociation studyPolymorphism Single NucleotideMental health [NCEBP 9]Genetic determinismGenomic disorders and inherited multi-system disorders [IGMD 3]03 medical and health sciencesCellular and Molecular NeuroscienceMONOAMINE-OXIDASE-ACognitive neurosciences [UMCN 3.2]SDG 3 - Good Health and Well-beingmental disordersmedicineHumansAttention deficit hyperactivity disorderADHDGenetic Predisposition to Disease5-HT1B RECEPTOR GENEddc:610Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie Psychosomatik und Psychotherapie des Kindes- und JugendaltersMonoamine OxidaseMolecular Biology030304 developmental biologyGenetic associationDopamine Plasma Membrane Transport ProteinsSEROTONIN TRANSPORTER GENEDOPAMINE-BETA-HYDROXYLASESiblingsReceptors Dopamine D4candidate genemedicine.diseaseTwin studyPREFERENTIAL TRANSMISSIONHaplotypesCATECHOL-O-METHYLTRANSFERASEAttention Deficit Disorder with HyperactivityCONDUCT DISORDERbiology.proteinnoradrenalineDEFICIT/HYPERACTIVITY DISORDERNO EVIDENCE030217 neurology & neurosurgerylinkage disequilibriumMolecular Psychiatry
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Genome-wide association scan of attention deficit hyperactivity disorder

2008

Contains fulltext : 70191.pdf (Publisher’s version ) (Closed access) Results of behavioral genetic and molecular genetic studies have converged to suggest that genes substantially contribute to the development of attention deficit/hyperactivity disorder (ADHD), a common disorder with an onset in childhood. Yet, despite numerous linkage and candidate gene studies, strongly consistent and replicable association has eluded detection. To search for ADHD susceptibility genes, we genotyped approximately 600,000 SNPs in 958 ADHD affected family trios. After cleaning the data, we analyzed 438,784 SNPs in 2,803 individuals comprising 909 complete trios using ADHD diagnosis as phenotype. We present t…

Candidate geneLinkage disequilibriumGenetics and epigenetic pathways of disease [NCMLS 6]Medizin2804 Cellular and Molecular NeuroscienceGenome-wide association studyNeuroinformatics [DCN 3]Linkage Disequilibrium2738 Psychiatry and Mental Health0302 clinical medicinePerception and Action [DCN 1]Genetics(clinical)ChildGenetics (clinical)Genetics0303 health sciencesHomozygote10058 Department of Child and Adolescent PsychiatrySNP genotypingPsychiatry and Mental healthChild PreschoolData Interpretation Statistical/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFunctional Neurogenomics [DCN 2]Algorithms2716 Genetics (clinical)AdolescentSingle-nucleotide polymorphism610 Medicine & healthBiologyMental health [NCEBP 9]Polymorphism Single NucleotideGenetic determinismArticleGenomic disorders and inherited multi-system disorders [IGMD 3]03 medical and health sciencesCellular and Molecular NeuroscienceCognitive neurosciences [UMCN 3.2]SDG 3 - Good Health and Well-beingmedicineSNPAttention deficit hyperactivity disorderHumansddc:610Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie Psychosomatik und Psychotherapie des Kindes- und JugendaltersAlleles030304 developmental biologyGenome Humanmedicine.diseaseGenetic defects of metabolism [UMCN 5.1]Attention Deficit Disorder with HyperactivityCase-Control Studies030217 neurology & neurosurgeryGenome-Wide Association Study
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Insights into Genetic Diversity, Runs of Homozygosity and Heterozygosity-Rich Regions in Maremmana Semi-Feral Cattle Using Pedigree and Genomic Data

2020

Semi-feral local livestock populations, like Maremmana cattle, are the object of renewed interest for the conservation of biological diversity and the preservation and exploitation of unique and potentially relevant genetic material. The aim of this study was to estimate genetic diversity parameters in semi-feral Maremmana cattle using both pedigree- and genomic-based approaches (FIS and FROH), and to detect regions of homozygosity (ROH) and heterozygosity (ROHet) in the genome. The average heterozygosity estimates were in the range reported for other cattle breeds (HE=0.261, HO=0.274). Pedigree-based average inbreeding (F) was estimated at 4.9%. The correlation was low between F and genomi…

Candidate geneMaremmanaGenomic relationshipinbreedingheterozygosity-rich regionspedigree relationshipsBiologyRuns of Homozygositymaremmana cattleGenomeArticlesemi-feral cattleLoss of heterozygositySettore AGR/17 - Zootecnica Generale E Miglioramento Geneticomaremmana cattle; runs of homozygosity; inbreeding; heterozygosity-rich regions; pedigree relationships; genomic relationshipslcsh:ZoologyGenomic relationships; Heterozygosity-rich regions; Inbreeding; Maremmana cattle; Pedigree relationships; Runs of homozygositylcsh:QL1-991genomic relationshipsruns of homozygosityGenetic diversitylcsh:Veterinary medicineGeneral Veterinarybusiness.industrygenetic diversitybiology.organism_classificationROH islandsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESEvolutionary biologylcsh:SF600-1100Pedigree relationshipAnimal Science and ZoologyLivestockbusinessHeterozygosity-rich regionInbreedinglinkage disequilibriumeffective population sizeAnimals
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The Asynchronous Leontief Model

1992

International audience; The traditional dynamic Leontief model is synchronous: every vertex acts simultaneously. A model with delays of action has been proposed, but it still remains synchronous. In this paper we propose an asynchronous version of the model that allows realistic computations. We fiurnish an algorithm and a program.

Discrete mathematicsLeontief modelVertex (graph theory)JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsComputer scienceComputationJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[SHS.ECO]Humanities and Social Sciences/Economics and FinanceAction (physics)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingAsynchronous communicationJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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