Search results for "STRUCTURAL VARIATION"

showing 10 items of 12 documents

Population genetic analysis of bi-allelic structural variants from low-coverage sequence data with an expectation-maximization algorithm

2014

Background Population genetics and association studies usually rely on a set of known variable sites that are then genotyped in subsequent samples, because it is easier to genotype than to discover the variation. This is also true for structural variation detected from sequence data. However, the genotypes at known variable sites can only be inferred with uncertainty from low coverage data. Thus, statistical approaches that infer genotype likelihoods, test hypotheses, and estimate population parameters without requiring accurate genotypes are becoming popular. Unfortunately, the current implementations of these methods are intended to analyse only single nucleotide and short indel variation…

GenotypingGenotypePopulation geneticsPopulationPopulation geneticsBiologyBiochemistryReference biasStructural variation03 medical and health sciences0302 clinical medicineStructural BiologyGenotypeStatisticsHumans1000 Genomes ProjecteducationMolecular BiologyAlleles030304 developmental biologySampling biasGenetic associationGeneticsLikelihood Functions0303 health scienceseducation.field_of_studyGenomePolymorphism GeneticGenètica de poblacionsApplied MathematicsHigh-Throughput Nucleotide SequencingGenomicsComputer Science ApplicationsGenotype frequencyGenetics PopulationStructural variationSoftwareAlgorithms030217 neurology & neurosurgeryMaximum likelihood
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Analysis of extended genomic rearrangements in oncological research.

2007

Screening for genomic rearrangements is a fundamental task in the genetic diagnosis of many inherited disorders including cancer-predisposing syndromes. Several methods were developed for analysis of structural genomic abnormalities, some are targeted to the analysis of one or few specific loci, others are designed to scan the whole genome. Locus-specific methods are used when the candidate loci responsible for the specific pathological condition are known. Whole-genome methods are used to discover loci bearing structural abnormalities when the disease-associated locus is unknown. Three main approaches have been employed for the analysis of locus-specific structural changes. The first two a…

GeneticsChromosome AberrationsGene RearrangementRecombination GeneticHybridization probecopy number gene dosage locus-specific molecular diagnosis mutation detection structural variationsGenomicsHematologyGene rearrangementGenomicsBiologyMolecular Inversion ProbeMedical OncologyOncologyNeoplasmsMultiplex polymerase chain reactionHumansMultiplexGenotypingSNP arrayAnnals of oncology : official journal of the European Society for Medical Oncology
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Whole-genome resequencing of Cucurbita pepo morphotypes to discover genomic variants associated with morphology and horticulturally valuable traits

2019

[EN] Cucurbita pepo contains two cultivated subspecies, each of which encompasses four fruit-shape morphotypes (cultivar groups). The Pumpkin, Vegetable Marrow, Cocozelle, and Zucchini Groups are of subsp. pepo and the Acorn, Crookneck, Scallop, and Straightneck Groups are of subsp. ovifera. Recently, a de novo assembly of the C. pepo subsp. pepo Zucchini genome was published, providing insights into its evolution. To expand our knowledge of evolutionary processes within C. pepo and to identify variants associated with particular morphotypes, we performed whole-genome resequencing of seven of these eight C. pepo morphotypes. We report for the first time whole-genome resequencing of the four…

0106 biological sciences0301 basic medicineLinkage disequilibriumFruit shapeEvolutionGenomicsPlantesPlant ScienceHorticultureSubspecies01 natural sciencesBiochemistryGenomeArticleCandidate genesStructural variation03 medical and health sciencesCucurbita pepoSizelcsh:BotanyGenetic variationGeneticslcsh:QH301-705.5GeneticsbiologyRevealsSunHomologsbiology.organism_classificationlcsh:QK1-989Common02.- Poner fin al hambre conseguir la seguridad alimentaria y una mejor nutrición y promover la agricultura sostenibleGenòmicaYabby gene familyGENETICA030104 developmental biologyNatural variation in plantslcsh:Biology (General)Genetic markerStructural variation010606 plant biology & botanyBiotechnology
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Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep.

2019

Copy number variation (CNV) is a major source of genomic structural variation. The aim of this study was to detect genomic CNV regions (CNVR) in Valle del Belice dairy sheep population and to identify those affecting milk production traits. The GO analysis identified possible candidate genes and pathways related to the selected traits. We identified CNVs in 416 individuals genotyped using the Illumina OvineSNP50 BeadChip array. The CNV association using a correlation-trend test model was examined with the Golden Helix SVS 8.7.0 tool. Significant CNVs were detected when their adjusted p-value was <0.01 after false discovery rate (FDR) correction. We identified 7,208 CNVs, which gave 365 C…

0301 basic medicineFalse discovery rateCandidate geneDNA Copy Number VariationsGenotypeSciencePopulationGenomic Structural VariationQuantitative Trait LociGenome-wide association studyQuantitative trait locusBiology03 medical and health sciencesSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoAnimalsLactationCopy-number variationeducationGeneGeneticseducation.field_of_studyMultidisciplinarySheepBiochemistry Genetics and Molecular Biology (all)QAnimals chromosome mapping dairying female genome-Wide association study genotype lactation sheep DNA copy number variations quantitative trait loci0402 animal and dairy scienceRChromosome Mapping04 agricultural and veterinary sciences040201 dairy & animal scienceDairying030104 developmental biologyAgricultural and Biological Sciences (all)MedicineFemaleGenome-Wide Association StudyResearch ArticlePLoS ONE
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The Structural Variety and Metabolism of Proteins

1994

Individual eukaryote cells contain in the order of 104 different proteins, and each animal species contains an even greater number due to differences between the tissues of an individual and between the individuals themselves; furthermore, the protein spectrum changes during the course of development. The number of different proteins to be found in extant organisms may be as high as 1012. The description of this variety, its origin and biological significance is the most extensive theme in comparative biochemistry. This chapter will concern itself with the possibilities for structural variation and the general metabolism of proteins; further chapters will deal with comparative studies of in…

Structural variationComparative BiochemistryOrder (biology)Extant taxonBiochemistryBiological significanceEvolutionary biologyEukaryoteMetabolismBiologybiology.organism_classificationVariety (cybernetics)
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Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions.

2020

Genetic diseases are driven by aberrations of the human genome. Identification of such aberrations including structural variations (SVs) is key to our understanding. Conventional short-reads whole genome sequencing (cWGS) can identify SVs to base-pair resolution, but utilizes only short-range information and suffers from high false discovery rate (FDR). Linked-reads sequencing (10XWGS) utilizes long-range information by linkage of short-reads originating from the same large DNA molecule. This can mitigate alignment-based artefacts especially in repetitive regions and should enable better prediction of SVs. However, an unbiased evaluation of this technology is not available. In this study, w…

0301 basic medicineFalse discovery rateComputer scienceArtificial Gene Amplification and ExtensionPolymerase Chain ReactionDatabase and Informatics MethodsSequencing techniques0302 clinical medicineBreast TumorsBasic Cancer ResearchMedicine and Health SciencesDNA sequencingBiology (General)EcologyHigh-Throughput Nucleotide SequencingGenomicsDNA Neoplasm3. Good healthIdentification (information)OncologyComputational Theory and MathematicsModeling and SimulationMCF-7 CellsFemaleSequence AnalysisResearch ArticleBioinformaticsQH301-705.5Breast NeoplasmsGenomicsComputational biologyResearch and Analysis MethodsHuman Genomics03 medical and health sciencesCellular and Molecular NeuroscienceCancer GenomicsGenomic MedicineBreast CancerGeneticsDNA Barcoding TaxonomicHumansMolecular Biology TechniquesMolecular BiologyEcology Evolution Behavior and SystematicsWhole genome sequencingLinkage (software)Whole Genome SequencingGenome HumanDideoxy DNA sequencingGenetic Diseases InbornCancers and NeoplasmsBiology and Life SciencesComputational BiologyStatistical modelSequence Analysis DNARepetitive RegionsLogistic Models030104 developmental biologyGenomic Structural VariationHuman genomeSequence Alignment030217 neurology & neurosurgeryPLoS Computational Biology
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Genomic Analysis of European Drosophila melanogaster Populations Reveals Longitudinal Structure, Continent-Wide Selection, and Previously Unknown DNA…

2020

Genetic variation is the fuel of evolution, with standing genetic variation especially important for short-term evolution and local adaptation. To date, studies of spatiotemporal patterns of genetic variation in natural populations have been challenging, as comprehensive sampling is logistically difficult, and sequencing of entire populations costly. Here, we address these issues using a collaborative approach, sequencing 48 pooled population samples from 32 locations, and perform the first continent-wide genomic analysis of genetic variation in European Drosophila melanogaster. Our analyses uncover longitudinal population structure, provide evidence for continent-wide selective sweeps, ide…

0106 biological sciencesMaleincipient sexual isolationQH301 BiologyAcclimatizationADNGenome Insect01 natural sciencesPopulation genomicsAdaptation; Clines; Demography; Population genomics; Selection; SNPs; Structural variants; Acclimatization; Altitude; Animals; DNA Viruses; Drosophila melanogaster; Europe; Genome Mitochondrial; Haplotypes; Insect Viruses; Male; Phylogeography; Polymorphism Single Nucleotide; Genome Insect; Genomic Structural Variation; Microbiota; Selection GeneticSDG 13 - Climate ActionComputingMilieux_MISCELLANEOUSeducation.field_of_study0303 health sciencesAltitude[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]PE&RCgeneettinen muunteluPhylogeographyDrosophila melanogasterLaboratory of GeneticsTransposable elementnorth-americanmahlakärpäsetSettore BIO/18 - GENETICAselectionLaboratorium voor Erfelijkheidsleeramino-acid polymorphism03 medical and health sciencesGeneticGeneticsAdaptation demographyMicrobiomeAdaptationPolymorphismeducationDrosophilaMolecular BiologySelectionEcology Evolution Behavior and SystematicsDemography[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]DNAchemistryEvolutionary biologyGenome MitochondrialGenomic Structural Variationinversion in(3r)payneAdaptationPopulation genomicsStructural variantsGenètica[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosisadaptation demographyCandidate genenucleotide polymorphismAcademicSubjects/SCI01180chemistry.chemical_compoundMelanogaster2. Zero hungerGenomebiologyMicrobiotaSingle NucleotideClinesclinesMitochondrialEuropepopulaatiogenetiikkatransposable elementsDrosophila melanogasterSNPsnatural-populationspopulation genomicsPopulationnext-generationDrosòfila melanogasterInsect Viruses010603 evolutionary biologyPolymorphism Single NucleotideQH301latitudinal clineGenetic variationAnimalsSelection GeneticSelection (genetic algorithm)DiscoveriesLocal adaptation030304 developmental biologylife-historyAcademicSubjects/SCI01130DNA Virusesstructural variantsDASbiology.organism_classificationHaplotypes13. Climate actionperimä[SDE.BE]Environmental Sciences/Biodiversity and EcologyInsectDNAMolecular Biology and Evolution
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On the power and the systematic biases of the detection of chromosomal inversions by paired-end genome sequencing

2013

One of the most used techniques to study structural variation at a genome level is paired-end mapping (PEM). PEM has the advantage of being able to detect balanced events, such as inversions and translocations. However, inversions are still quite difficult to predict reliably, especially from high-throughput sequencing data. We simulated realistic PEM experiments with different combinations of read and library fragment lengths, including sequencing errors and meaningful base-qualities, to quantify and track down the origin of false positives and negatives along sequencing, mapping, and downstream analysis. We show that PEM is very appropriate to detect a wide range of inversions, even with …

Evolutionary GeneticsChromosome Structure and Functionlcsh:MedicineComputational biologyBiologyGenomeDNA sequencingStructural variation03 medical and health sciences0302 clinical medicineGenetic MutationGeneticsFalse positive paradoxHumansComputer SimulationFalse Positive ReactionsGenomic libraryGenome Sequencinglcsh:ScienceBiologyGenome EvolutionFalse Negative Reactions030304 developmental biologyChromosomal inversionSegmental duplicationGeneticsEvolutionary Biology0303 health sciencesMultidisciplinaryChromosome Biologylcsh:RBreakpointMutation TypesComputational BiologyChromosome MappingGenomic EvolutionGenomicsSequence Analysis DNAComparative GenomicsChromosomes Human Pair 1Chromosome Inversionlcsh:QStructural GenomicsSequence AnalysisAlgorithms030217 neurology & neurosurgeryResearch Article
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Whole genome paired-end sequencing elucidates functional and phenotypic consequences of balanced chromosomal rearrangement in patients with developme…

2019

BackgroundBalanced chromosomal rearrangements associated with abnormal phenotype are rare events, but may be challenging for genetic counselling, since molecular characterisation of breakpoints is not performed routinely. We used next-generation sequencing to characterise breakpoints of balanced chromosomal rearrangements at the molecular level in patients with intellectual disability and/or congenital anomalies.MethodsBreakpoints were characterised by a paired-end low depth whole genome sequencing (WGS) strategy and validated by Sanger sequencing. Expression study of disrupted and neighbouring genes was performed by RT-qPCR from blood or lymphoblastoid cell line RNA.ResultsAmong the 55 pat…

AdultMale0301 basic medicineCandidate geneAdolescentDNA Copy Number VariationsDevelopmental Disabilities030105 genetics & heredityGenomeTranslocation GeneticStructural variationChromosome BreakpointsStructure-Activity RelationshipYoung Adult03 medical and health sciencessymbols.namesakeposition effectGeneticsHumansChildGeneGenetic Association StudiesGenetics (clinical)Paired-end tagComputingMilieux_MISCELLANEOUSchromosomal rearrangementsChromosome AberrationsGene RearrangementWhole genome sequencingGeneticsSanger sequencingwhole genome sequencingbiologystructural variationInfantNFIXPhenotype030104 developmental biology[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticsintellectual disabilityChild Preschoolbiology.proteinsymbolsFemaleBiomarkers
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Pan-cancer analysis of whole genomes

2020

Publisher's version (útgefin grein)

Maletert promoter mutationsCancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2]DNA Mutational AnalysisNormal tissuesystematic analysisGermlineTranscriptome0302 clinical medicineAetiologyCàncerCellular SenescenceCancer0303 health sciencesdna-damageMassive parallel sequencingPan cancerREARRANGEMENTSHigh-Throughput Nucleotide SequencingGenomicsSciences bio-médicales et agricolesTelomereCOMPREHENSIVE3. Good healthTERT PROMOTER MUTATIONSsignatures030220 oncology & carcinogenesisScience & Technology - Other TopicsErfðarannsóknirHuman:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]EvolutionRNA SplicingGenomicsArticleEvolution MolecularStructural variationRC025403 medical and health sciencesSDG 3 - Good Health and Well-beingGeneticgenomicsSYSTEMATIC ANALYSISGeneticsGenomics--Databases.HumansGenetic TestingMolecular BiologySIGNATURESWhole genome sequencing1000 MultidisciplinaryChromothripsisScience & TechnologyRC0254 Neoplasms. Tumors. Oncology (including Cancer)Information DisseminationResearchInstitutes_Networks_Beacons/mcrcPreventionBiology and Life SciencesMolecularOncogenesCloud Computingmedicine.diseaseGenòmicaCompute cloudsMutation570 Life sciences; biologyCOMPREHENSIVE CHARACTERIZATIONGenèticaWhole Genome Sequencing--methodsBackground informationDNA Mutational Analysis ; Evolution ; Genetic / genetics ; Genome ; Genomics ; Germ-Line Mutation / genetics ; High-Throughput Nucleotide Sequencing ; Human / genetics ; Humans ; ICGC/TCGA Pan-Cancer Analysis of Whole Genomes ConsortiumMedizinGenomeWhole-genomeGenome mappingNeoplasms2.1 Biological and endogenous factorsPromoter Regions GeneticCàncer -- Aspectes genèticsTelomeraseGeneticsWomen's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17]MultidisciplinaryChromothripsisGenomeManchester Cancer Research Centregenomics cancer profiling3rd-DAS10124 Institute of Molecular Life SciencesWomen's cancers Radboud Institute for Health Sciences [Radboudumc 17]Multidisciplinary SciencesParallel sequencingICGC/TCGA Pan-Cancer Analysis of Whole Genomes ConsortiumFemaleprofilingMedical GeneticsEngineering sciences. TechnologyBiotechnologyGeneral Science & TechnologyThe Cancer Genome Atlas610 Medicine & healthComputational biologyQH426 GeneticsBiologyConsortium of the International Cancer Genome ConsortiumPromoter RegionsGermline mutationPan-cancer analysisKrabbameinsrannsóknirmedicinecancerddc:610QH426Germ-Line MutationMedicinsk genetikKrabbamein030304 developmental biologyCell ProliferationLANDSCAPEGenome Humancomprehensive characterizationPan-cancer analysis of whole genomesPoint mutationHuman GenomeCancerReproducibility of ResultsSOMATIC MUTATIONSEVOLUTIONCancer sequencing Chromothripsis telomereDNA-DAMAGEMutagenesisPATTERNS3111 BiomedicineCHARACTERIZATION
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