0000000000122492

AUTHOR

José Ignacio Lucas-lledó

0000-0001-6254-8942

showing 5 related works from this author

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
researchProduct

Detailed analysis of inversions predicted between two human genomes: errors, real polymorphisms, and their origin and population distribution.

2016

The growing catalogue of structural variants in humans often overlooks inversions as one of the most difficult types of variation to study, even though they affect phenotypic traits in diverse organisms. Here, we have analysed in detail 90 inversions predicted from the comparison of two independently assembled human genomes: the reference genome (NCBI36/HG18) and HuRef. Surprisingly, we found that two thirds of these predictions (62) represent errors either in assembly comparison or in one of the assemblies, including 27 misassembled regions in HG18. Next, we validated 22 of the remaining 28 potential polymorphic inversions using different PCR techniques and characterized their breakpoints …

0301 basic medicinePopulationBiologyGenomeEvolution Molecular03 medical and health sciencesGeneticsHumans1000 Genomes ProjectAlleleSelection GeneticeducationMolecular BiologyAllele frequencyGenetics (clinical)Geneticseducation.field_of_studyPolymorphism GeneticGenome HumanSequence InversionBreakpointMolecular Sequence AnnotationGeneral MedicineSequence Analysis DNA030104 developmental biologyChromosome InversionHuman genomeReference genomeHuman molecular genetics
researchProduct

Functional impact and evolution of a novel human polymorphic inversion that disrupts a gene and creates a fusion transcript

2015

Despite many years of study into inversions, very little is known about their functional consequences, especially in humans. A common hypothesis is that the selective value of inversions stems in part from their effects on nearby genes, although evidence of this in natural populations is almost nonexistent. Here we present a global analysis of a new 415-kb polymorphic inversion that is among the longest ones found in humans and is the first with clear position effects. This inversion is located in chromosome 19 and has been generated by non-homologous end joining between blocks of transposable elements with low identity. PCR genotyping in 541 individuals from eight different human populatio…

Cancer ResearchDNA End-Joining Repairlcsh:QH426-470GenotypeChromosome inversionPopulationChromosome BreakpointsBiologyChromosome breakpointsGenoma humàPolymorphism Single NucleotideEvolution MolecularChromosome Breakpoints03 medical and health sciences0302 clinical medicinePolymorphism Single nucleotideChromosome 19DNA end-joining repairGeneticsTranscription factorsHumansAlleleeducationMolecular BiologyGeneGenetics (clinical)Ecology Evolution Behavior and Systematics030304 developmental biologyChromosomal inversionGeneticsGene expression regulation0303 health scienceseducation.field_of_studyGenètica de poblacionsHaplotypelcsh:GeneticsDNA transposable elementsGenetics PopulationGene Expression RegulationFusion transcriptChromosome InversionDNA Transposable ElementsChromosomes Human Pair 19030217 neurology & neurosurgeryResearch ArticleTranscription Factors
researchProduct

The Rate and Molecular Spectrum of Spontaneous Mutations in Arabidopsis thaliana

2010

Evolution in Action Rates of evolution in gene and genome sequences have been estimated, but these estimates are subject to error because many of the steps of evolution over the ages are not directly measurable or are hidden under subsequent changes. Ossowski et al. (p. 92 ) now provide a more accurate measurement of how often spontaneous mutations arise in a nuclear genome. Mutations arising over 30 generations were compared by sequencing DNA from individual Arabidopsis thaliana plants. UV- and deamination-induced mutagenesis appeared to bias the type of mutations found.

DNA PlantUltraviolet RaysMutantArabidopsismedicine.disease_causeArticlechemistry.chemical_compoundCytosineINDEL MutationArabidopsismedicineArabidopsis thalianaSequence DeletionGeneticsMutationMultidisciplinarybiologyMutagenesisSequence Analysis DNAMutation AccumulationDNA Methylationbiology.organism_classificationMolecular biologychemistryDeaminationMutationDNA IntergenicINDEL MutationCytosineGenome Plant
researchProduct

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
researchProduct