Search results for "genome analysis"

showing 10 items of 61 documents

Ancient Haplotypes at the 15q24.2 Microdeletion Region Are Linked to Brain Expression of MAN2C1 and Children's Intelligence

2016

The chromosome bands 15q24.1-15q24.3 contain a complex region with numerous segmental duplications that predispose to regional microduplications and microdeletions, both of which have been linked to intellectual disability, speech delay and autistic features. The region may also harbour common inversion polymorphisms whose functional and phenotypic manifestations are unknown. Using single nucleotide polymorphism (SNP) data, we detected four large contiguous haplotype-genotypes at 15q24 with Mendelian inheritance in 2,562 trios, African origin, high population stratification and reduced recombination rates. Although the haplotype-genotypes have been most likely generated by decreased or abse…

HeredityAutism Spectrum DisorderIntelligenceSocial SciencesChromosome DisordersMAN2C1 geneFamiliesMicePsychologylcsh:ScienceChildChildrenIn Situ HybridizationCognitive ImpairmentIntelligence Testseducation.field_of_studyIntelligence quotientBrainGenomicsNeurologyChromosome DeletionHumanGenotypeEvolutionSingle-nucleotide polymorphismFluorescenceEvolution Molecular03 medical and health sciencesalpha-MannosidaseIntellectual DisabilityMannosidasesGeneticsChromosome 15q24 2HumansPolymorphismeducationChromosome Aberrationslcsh:RHaplotypePair 15PongoBiology and Life SciencesComputational BiologyMolecularmedicine.diseaseIntellectual Disability/genetics030104 developmental biologyNeurodevelopmental DisordersDevelopmental PsychologyAfricalcsh:QPopulation GroupingsGene expressionEthiopiaAutismePopulation GeneticsNeuroscience0301 basic medicineAutismlcsh:MedicineGene ExpressionHomozygosityGeographical LocationsCohort StudiesChromosome Disorders/geneticsIntellectual disabilityMedicine and Health SciencesIn Situ Hybridization FluorescenceSegmental duplicationMannosidases/geneticsGeneticsMultidisciplinaryGenomeCognitive NeurologyHomozygoteSingle NucleotidePhenotypesymbolsInfantsResearch ArticleCognitive NeurosciencePopulationInfants -- DesenvolupamentBiologyPolymorphism Single NucleotideChromosomessymbols.namesakeDevelopmental NeurosciencemedicineAnimalsBrain/metabolismCromosomes humans -- AnomaliesAlleleChromosomes Human Pair 15Evolutionary BiologyPopulation BiologyGenome HumanChromosome 15qIntelligence/geneticsGenome AnalysisGenomic LibrariesExpressió gènicaMacaca mulattaRatsHaplotypesAge GroupsPeople and PlacesMendelian inheritanceCognitive Science
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Testing for goodness rather than lack of fit of an X–chromosomal SNP to the Hardy-Weinberg model

2019

The problem of checking the genotype distribution obtained for some diallelic marker for compatibility with the Hardy-Weinberg equilibrium (HWE) condition arises also for loci on the X chromosome. The possible genotypes depend on the sex of the individual in this case: for females, the genotype distribution is trinomial, as in the case of an autosomal locus, whereas a binomial proportion is observed for males. Like in genetic association studies with autosomal SNPs, interest is typically in establishing approximate compatibility of the observed genotype frequencies with HWE. This requires to replace traditional methods tailored for detecting lack of fit to the model with an equivalence test…

HeredityNormal DistributionDistance MeasurementTrinomial01 natural sciencesLinkage Disequilibrium010104 statistics & probabilityStatisticsLack-of-fit sum of squaresMathematicsVenous ThrombosisMeasurement0303 health sciencesMultidisciplinaryQRSoftware EngineeringGenomicsHardy–Weinberg principleGenetic MappingPhysical SciencesEngineering and TechnologyMedicineResearch ArticleComputer and Information SciencesScienceGeometryAsymptotic distributionVariant GenotypesPolymorphism Single NucleotideMolecular Genetics03 medical and health sciencesGenome-Wide Association StudiesGeneticsTest statisticHumansComputer Simulation0101 mathematicsMolecular BiologyGenetic Association Studies030304 developmental biologyChromosomes Human XModels StatisticalModels GeneticSoftware ToolsBiology and Life SciencesComputational BiologyHuman GeneticsGenome AnalysisProbability TheoryProbability DistributionGenotype frequencyRadiiSample size determinationSample SizeBinomial proportion confidence intervalMathematicsPLOS ONE
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Heat shock response in yeast involver changes in both transcription rates and mRNA stabilities

2011

We have analyzed the heat stress response in the yeast Saccharomyces cerevisiae by determining mRNA levels and transcription rates for the whole transcriptome after a shift from 25uC to 37uC. Using an established mathematical algorithm, theoretical mRNA decay rates have also been calculated from the experimental data. We have verified the mathematical predictions for selected genes by determining their mRNA decay rates at different times during heat stress response using the regulatable tetO promoter. This study indicates that the yeast response to heat shock is not only due to changes in transcription rates, but also to changes in the mRNA stabilities. mRNA stability is affected in 62% of …

Llevat de cervesaTranscription GeneticEstrès oxidatiuRNA StabilitySaccharomyces cerevisiaeGene Expressionlcsh:MedicineYeast and Fungal ModelsRNA-binding proteinSaccharomyces cerevisiaeModels BiologicalGenètica molecularModel OrganismsTranscripció genèticaGenome Analysis ToolsTranscription (biology)Gene Expression Regulation FungalYeastsHeat shock proteinMolecular Cell BiologyGeneticsCluster AnalysisRNA MessengerHeat shocklcsh:ScienceBiologyGeneTranscription factorHeat-Shock ProteinsMultidisciplinaryBase SequenceOrganisms Genetically ModifiedbiologySystems Biologylcsh:RRNA FungalLlevats -- GenèticaGenomicsbiology.organism_classificationMolecular biologyFunctional GenomicsCell biologyRegulonRNAlcsh:QGenome Expression AnalysisHeat-Shock ResponseResearch ArticleTranscription Factors
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Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data

2016

International audience; Technical variation plays an important role in microarray-based gene expression studies, and batch effects explain a large proportion of this noise. It is therefore mandatory to eliminate technical variation while maintaining biological variability. Several strategies have been proposed for the removal of batch effects, although they have not been evaluated in large-scale longitudinal gene expression data. In this study, we aimed at identifying a suitable method for batch effect removal in a large study of microarray-based longitudinal gene expression. Monocytic gene expression was measured in 1092 participants of the Gutenberg Health Study at baseline and 5-year fol…

Male0301 basic medicineMolecular biologyMicroarrayslcsh:MedicineGene ExpressionPolynomialsMonocytesMathematical and Statistical Techniques0302 clinical medicineLongitudinal StudiesProspective Studieslcsh:ScienceOligonucleotide Array Sequence AnalysisGeneticsPrincipal Component Analysis[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyMultidisciplinaryGenomicsReplicateMiddle AgedRegressionRNA isolationBioassays and Physiological Analysis030220 oncology & carcinogenesisPhysical SciencesPrincipal component analysisFemaleRNA hybridizationDNA microarrayTranscriptome AnalysisStatistics (Mathematics)Research ArticleAdultComputational biologyBiologyBiomolecular isolationGeneralized linear mixed model03 medical and health sciencesDeming regressionExtraction techniquesGeneticsHumansStatistical MethodsAgedQuantile normalizationMolecular probe techniquesGene Expression Profilinglcsh:RBiology and Life SciencesComputational BiologyGenome AnalysisProbe hybridizationRNA extractionResearch and analysis methodsGene expression profilingMolecular biology techniquesAlgebra030104 developmental biologyNonlinear DynamicsMultivariate Analysislcsh:QMathematics[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium

2016

Background Data are limited on genome-wide association studies (GWAS) for incident coronary heart disease (CHD). Moreover, it is not known whether genetic variants identified to date also associate with risk of CHD in a prospective setting. Methods We performed a two-stage GWAS analysis of incident myocardial infarction (MI) and CHD in a total of 64,297 individuals (including 3898 MI cases, 5465 CHD cases). SNPs that passed an arbitrary threshold of 5×10−6 in Stage I were taken to Stage II for further discovery. Furthermore, in an analysis of prognosis, we studied whether known SNPs from former GWAS were associated with total mortality in individuals who experienced MI during follow-up. Res…

Male0301 basic medicineOncologyPREDICTIONMyocardial Infarctionlcsh:MedicineGenome-wide association studyCoronary Artery DiseaseCardiovascular MedicineSUSCEPTIBILITY030204 cardiovascular system & hematologyCardiovascularBioinformaticsincident myocardial infarctionCohort StudiesCoronary artery diseaseMathematical and Statistical Techniques0302 clinical medicineDESIGNMedicine and Health Sciences2.1 Biological and endogenous factorsProspective StudiesMyocardial infarctionAetiologyCooperative Behaviorlcsh:ScienceProspective cohort studyRISKscreening and diagnosisMultidisciplinaryResearch Support Non-U.S. Gov'tSingle NucleotideGenomicsMiddle Aged3. Good healthMultidisciplinary SciencesDetectionCHROMOSOME 9P21Heart DiseaseResearch DesignCardiovascular DiseasesCARDIOVASCULAR-DISEASEPhysical SciencesScience & Technology - Other TopicsFemaleStatistics (Mathematics)4.2 Evaluation of markers and technologiesResearch ArticleCohort studymedicine.medical_specialtyGeneral Science & TechnologyCardiologySingle-nucleotide polymorphismResearch and Analysis MethodsGenome ComplexityPolymorphism Single Nucleotide03 medical and health sciencescoronary hearth diseaseInternal medicineMD MultidisciplinaryGenome-Wide Association StudiesGeneticsJournal ArticlemedicineHumansSNPGenetic Predisposition to DiseasePolymorphismStatistical MethodsHeart Disease - Coronary Heart DiseaseMETAANALYSISAgedGenetic associationta112Science & Technologybusiness.industryPreventionlcsh:RHuman GenomeBiology and Life SciencesComputational BiologyHuman GeneticsGenome AnalysisROTTERDAMmedicine.diseaseIntronsGood Health and Well Being030104 developmental biologyGenetic LociGenetics of Diseaselcsh:Q3111 BiomedicinebusinessMathematicsMeta-AnalysisGenome-Wide Association StudyPLOS ONE
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Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans.

2011

One major expectation from the transcriptome in humans is to characterize the biological basis of associations identified by genome-wide association studies. So far, few cis expression quantitative trait loci (eQTLs) have been reliably related to disease susceptibility. Trans-regulating mechanisms may play a more prominent role in disease susceptibility. We analyzed 12,808 genes detected in at least 5% of circulating monocyte samples from a population-based sample of 1,490 European unrelated subjects. We applied a method of extraction of expression patterns—independent component analysis—to identify sets of co-regulated genes. These patterns were then related to 675,350 SNPs to identify maj…

MaleCancer ResearchGene ExpressionGenome-wide association studyGenetic NetworksCoronary Artery Disease[SDV.GEN] Life Sciences [q-bio]/GeneticsCardiovascularMESH: MonocytesMonocytesMESH: HypertensionTranscriptomes0302 clinical medicineMESH: ProteinsMESH: Genetic VariationGenetics (clinical)GeneticsMESH: Aged0303 health scienceseducation.field_of_studyMESH: Middle AgedMESH: Polymorphism Single NucleotideIntracellular Signaling Peptides and ProteinsMESH: Genetic Predisposition to DiseaseGenomicsMESH: Transcription FactorsMiddle AgedMESH: Ribosomal ProteinsMESH: Gene Expression Regulation3. Good healthHypertensionMedicineFemaleMESH: Diabetes Mellitus Type 1Research ArticleAdultRibosomal Proteinslcsh:QH426-470PopulationQuantitative Trait LociLocus (genetics)Single-nucleotide polymorphismBiologyQuantitative trait locusPolymorphism Single Nucleotide03 medical and health sciencesMESH: Gene Expression ProfilingGenome Analysis ToolsGeneticsGenome-Wide Association StudiesHumansGenetic Predisposition to DiseaseGene NetworkseducationMolecular BiologyBiologyEcology Evolution Behavior and SystematicsMESH: Genome Human030304 developmental biologyGenetic associationAdaptor Proteins Signal TransducingAged[SDV.GEN]Life Sciences [q-bio]/GeneticsMESH: HumansGenome HumanGene Expression ProfilingGenetic VariationProteinsHuman GeneticsMESH: AdultAtherosclerosisMESH: MaleMESH: Quantitative Trait LociGene expression profilingCeliac Diseaselcsh:GeneticsDiabetes Mellitus Type 1Gene Expression RegulationExpression quantitative trait lociGenetics of DiseaseMESH: Genome-Wide Association StudyMESH: MuramidaseMuramidaseGenome Expression AnalysisMESH: Female030217 neurology & neurosurgeryMESH: Celiac DiseaseGenome-Wide Association StudyTranscription Factors
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Functional Inactivation of the Genome-Wide Association Study Obesity Gene Neuronal Growth Regulator 1 in Mice Causes a Body Mass Phenotype

2012

To date, genome-wide association studies (GWAS) have identified at least 32 novel loci for obesity and body mass-related traits. However, the causal genetic variant and molecular mechanisms of specific susceptibility genes in relation to obesity are yet to be fully confirmed and characterised. Here, we examined whether the candidate gene NEGR1 encoding the neuronal growth regulator 1, also termed neurotractin or Kilon, accounts for the obesity association. To characterise the function of NEGR1 for body weight control in vivo, we generated two novel mutant mouse lines, including a constitutive NEGR1-deficient mouse line as well as an ENU-mutagenised line carrying a loss-of-function mutation …

MaleCandidate geneMutantlcsh:MedicineGenome-wide association studymedicine.disease_causeEndoplasmic ReticulumEatingGene Knockout TechniquesMice0302 clinical medicineEndocrinologylcsh:ScienceObesity; NEGR1; GWAS; body weight control2. Zero hungerGenetics0303 health sciencesMutationMultidisciplinaryNeuronal growth regulator 1GenomicsPhenotypePhenotypeMedicineFemaleFunction and Dysfunction of the Nervous SystemResearch ArticleGenotypeHypothalamusNerve Tissue ProteinsBiologyMotor ActivityDiet High-FatCell Line03 medical and health sciencesGenetic MutationGenome Analysis ToolsmedicineGeneticsGenome-Wide Association StudiesCell AdhesionNeuritesAnimalsHumansObesityGene SilencingGeneBiologyAlleles030304 developmental biologyNutritionlcsh:RBody WeightMembrane ProteinsHuman GeneticsNeuroendocrinologyBody HeightMetabolic DisordersGenetics of DiseaseLean body masslcsh:QEnergy Metabolism030217 neurology & neurosurgeryGenome-Wide Association StudyPLoS ONE
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Transforming RNA-Seq Data to Improve the Performance of Prognostic Gene Signatures

2014

Gene expression measurements have successfully been used for building prognostic signatures, i.e for identifying a short list of important genes that can predict patient outcome. Mostly microarray measurements have been considered, and there is little advice available for building multivariable risk prediction models from RNA-Seq data. We specifically consider penalized regression techniques, such as the lasso and componentwise boosting, which can simultaneously consider all measurements and provide both, multivariable regression models for prediction and automated variable selection. However, they might be affected by the typical skewness, mean-variance-dependency or extreme values of RNA-…

MaleGene Expressionlcsh:Medicinecomputer.software_genreBioinformaticslcsh:ScienceExtreme value theoryMultidisciplinaryMultivariable calculusStatisticsRegression analysisGenomicsPrognosisKidney NeoplasmsNeoplasm ProteinsLeukemia Myeloid AcuteMedicineProbability distributionFemaleSequence AnalysisAlgorithmsResearch ArticleStatistical DistributionsRiskBoosting (machine learning)Clinical Research DesignFeature selectionBiostatisticsBiologyMachine learningMolecular GeneticsGenome Analysis ToolsCovariateHumansStatistical MethodsGene PredictionBiologyCarcinoma Renal CellProbabilityClinical GeneticsSequence Analysis RNAbusiness.industrylcsh:RPersonalized MedicineModelingComputational BiologyProbability TheorySurvival AnalysisSkewnessMultivariate AnalysisRNAlcsh:QArtificial intelligenceGenome Expression AnalysisTranscriptomebusinesscomputerMathematicsPLoS ONE
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Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

2020

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located nearNEDD4LandSLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 d…

MaleGenetic-variationNedd4 Ubiquitin Protein LigasesPooled AnalysisBlood Pressure0302 clinical medicineHuman geneticsMendelian RandomizationYoung adultChildhealth care economics and organizationsBody mass indexAdiposityGenetics & Heredity0303 health sciencesStatistics1184 Genetics developmental biology physiologyGenomicsadulto3. Good healthCardiovascular DiseasesChild PreschoolPhysical SciencesMenarchegenetic-variationpresión sanguíneaMonosaccharide Transport ProteinsGenetic locieducationenfermedades cardiovascularesProstate-specific AntigenGenetic correlation03 medical and health sciencesSDG 3 - Good Health and Well-beingDiabetes MellitusGeneticsHumansprostate-specific antigenStatistical MethodsMolecular BiologyEcology Evolution Behavior and Systematicschildhood0604 Genetics[SDV.GEN]Life Sciences [q-bio]/GeneticsScience & TechnologyEarly Growth Genetics ConsortiumBiology and Life SciencesComputational Biologynutritional and metabolic diseasesSingle nucleotide polymorphismsMendelian Randomization AnalysisBiological TissueDiabetes Mellitus Type 2estudio de asociación genómica completagenetic factorsmendelian randomizationanálisis de la aleatorización mendelianaproteínas de transporte de monosacáridosBody mass index030217 neurology & neurosurgeryMathematicsDemographyDevelopmental BiologyCardiovascular RiskCancer ResearchobesityPhysiologyhumanosadolescenteOverweightQH426-470Genome-wide association studiesWaist–hip ratioMathematical and Statistical TechniquesMedicine and Health Sciencesbody mass index (BMI)Genetics of diseaseGenetics (clinical)2. Zero hungeradiposityMetaanalysisPhysiological ParametersConnective Tissue/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalemedicine.symptomAnatomypooled analysisLife Sciences & BiomedicineResearch ArticleAdultcardiovascular riskAdolescentBirth weightmenarquiaAdipose tissueBiology3121 Internal medicineResearch and Analysis MethodsmedicineoverweightGenetic Predisposition to DiseaseObesity030304 developmental biologyMenarcheWaist-Hip Ratioíndice de masa corporalBody WeightCardiometabolic Risk Factorspredisposición genética a la enfermedadHeritabilityOverweightGenome Analysisyoung-adultsGenome-wide Associationíndice cintura-caderaYoung-adultsgenome-wide associationGenome-Wide Association StudyPLoS genetics
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The Molecular Genetic Architecture of Self-Employment

2013

Economic variables such as income, education, and occupation are known to affect mortality and morbidity, such as cardiovascular disease, and have also been shown to be partly heritable. However, very little is known about which genes influence economic variables, although these genes may have both a direct and an indirect effect on health. We report results from the first large-scale collaboration that studies the molecular genetic architecture of an economic variable-entrepreneurship-that was operationalized using self-employment, a widely-available proxy. Our results suggest that common SNPs when considered jointly explain about half of the narrow-sense heritability of self-employment es…

MaleNetherlands Twin Register (NTR)Multifactorial InheritanceHeredityEpidemiologyEconomicsIntelligenceTwinsGenome-wide association studyCORONARY HEART-DISEASESocial and Behavioral SciencesTheoreticalMissing heritability problemModelsMISSING HERITABILITYMicroeconomicsTwins DizygoticSOCIOECONOMIC-STATUSRegistriesGenetics0303 health sciencesMultidisciplinaryStatistics05 social sciencesQRGenomicsSingle NucleotideOccupational and Industrial Health/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growth3. Good healthCARDIOVASCULAR-DISEASEGenetic EpidemiologyMeta-analysisScience & Technology - Other TopicsMedicineFemalePublic HealthBehavioral and Social Aspects of HealthResearch ArticlePersonalityEmploymentGenotypeClinical Research DesignGeneral Science & Technology515 PsychologyScienceeducationSingle-nucleotide polymorphismBiostatisticsBiologyPolymorphism Single NucleotideMonozygotic03 medical and health sciencesGenome Analysis Tools0502 economics and businessMD MultidisciplinaryGenome-Wide Association StudiesGenetics/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_DizygoticHumansStatistical MethodsHuman heightPolymorphismGENOME-WIDE ASSOCIATIONBiology030304 developmental biologyGenetic associationEDUCATIONAL-ATTAINMENTScience & TechnologyComplex TraitsMULTIDISCIPLINARY SCIENCESComputational BiologyHuman GeneticsSDG 8 - Decent Work and Economic GrowthTwins Monozygoticta3121HeritabilityModels TheoreticalGenetic architectureCOMMON SNPS EXPLAINLARGE PROPORTIONGenetic PolymorphismRISK-FACTORSGene-Environment Interaction3111 BiomedicineMeta-AnalysesHUMAN HEIGHTPopulation GeneticsMathematics050203 business & managementGenome-Wide Association Study
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