0000000000147561

AUTHOR

Pablo Villoslada

0000-0002-8735-6119

showing 7 related works from this author

Corrigendum to “Linkage disequilibrium screening for multiple sclerosis implicates JAG1 and POU2AF1 as susceptibility genes in Europeans” [J. Neuroim…

2007

GeneticsLinkage disequilibriumJAG1Multiple sclerosisImmunologySusceptibility geneBiologymedicine.disease03 medical and health sciences0302 clinical medicineNeurologymedicineImmunology and AllergyNeurology (clinical)030215 immunologyJournal of Neuroimmunology
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Power estimation for non-standardized multisite studies

2016

A concern for researchers planning multisite studies is that scanner and T1-weighted sequence-related biases on regional volumes could overshadow true effects, especially for studies with a heterogeneous set of scanners and sequences. Current approaches attempt to harmonize data by standardizing hardware, pulse sequences, and protocols, or by calibrating across sites using phantom-based corrections to ensure the same raw image intensities. We propose to avoid harmonization and phantom-based correction entirely. We hypothesized that the bias of estimated regional volumes is scaled between sites due to the contrast and gradient distortion differences between scanners and sequences. Given this…

Computer scienceCognitive Neurosciencecomputer.software_genreSensitivity and Specificity050105 experimental psychologyImaging phantomArticleSet (abstract data type)03 medical and health sciences0302 clinical medicineDistortionImage Interpretation Computer-AssistedCalibrationmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumans0501 psychology and cognitive sciencesSegmentationComputer Simulation10. No inequalityScalingModels Statisticalmedicine.diagnostic_test05 social sciencesContrast (statistics)BrainReproducibility of ResultsMagnetic resonance imagingEquipment DesignScale factorImage EnhancementMagnetic Resonance ImagingUnited StatesEquipment Failure AnalysisEuropeNeurologyOrdinary least squaresData miningFunction and Dysfunction of the Nervous SystemArtifactscomputer030217 neurology & neurosurgeryAlgorithms
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Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis.

2011

Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have ena…

Immunity Cellular/geneticsCellular immunityMultiple SclerosisGenome-wide association studyCLEC16ABiologyPolymorphism Single NucleotideCell Differentiation/immunologyEurope/ethnologyMajor Histocompatibility Complex/geneticsMajor Histocompatibility Complex03 medical and health sciences0302 clinical medicinemedicineGenetic predispositionHumansGenetic Predisposition to DiseaseHLA-A Antigens/geneticsAlleles030304 developmental biologyGenetic associationGenetics0303 health sciencesImmunity CellularMultidisciplinaryHLA-A AntigensGenome HumanMultiple sclerosisGenetic Predisposition to Disease/geneticsHLA-DR Antigens/geneticsLymphocyte differentiationCell DifferentiationHLA-DR AntigensT-Lymphocytes Helper-InducerRC346medicine.diseasePolymorphism Single Nucleotide/geneticsGenetic architecture3. Good healthEuropeSample SizeImmunologyGenome Human/geneticsMultiple Sclerosis/genetics030217 neurology & neurosurgeryT-Lymphocytes Helper-Inducer/cytologyGenome-Wide Association StudyHLA-DRB1 Chains
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Multiple sclerosis severity score: Using disability and disease duration to rate disease severity

2005

Background: There is no consensus method for determining progression of disability in patients with multiple sclerosis (MS) when each patient has had only a single assessment in the course of the disease. Methods: Using data from two large longitudinal databases, the authors tested whether cross-sectional disability assessments are representative of disease severity as a whole. An algorithm, the Multiple Sclerosis Severity Score (MSSS), which relates scores on the Expanded Disability Status Scale (EDSS) to the distribution of disability in patients with comparable disease durations, was devised and then applied to a collection of 9,892 patients from 11 countries to create the Global MSSS. I…

AdultMalemedicine.medical_specialtyMultiple SclerosisDatabases FactualCross-sectional studyModels NeurologicalDiseaseSUSCEPTIBILITYSeverity of Illness IndexCohort StudiesDisability EvaluationPredictive Value of TestsRecurrenceSeverity of illnessmedicineHumansLongitudinal StudiesAge of OnsetModels StatisticalExpanded Disability Status Scalebusiness.industryMultiple sclerosisOUTCOME MEASUREReproducibility of ResultsNATURAL-HISTORYMiddle AgedPrognosismedicine.diseaseCross-Sectional StudiesPredictive value of testsDisease ProgressionPhysical therapyFemaleFranceNeurology (clinical)Age of onsetbusinessCohort study
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Analysis of the C9orf72 gene in patients with amyotrophic lateral sclerosis in Spain and different populations worldwide.

2013

The C9ORF72 Spanish Study Group, et al.

MaleChinaHeterozygoteDNA Mutational AnalysisChromosome 9Kaplan-Meier EstimateBiologyPolymorphism Single NucleotideAsian PeopleGene FrequencyJapanC9orf72GeneticsmedicineEthnicityHumansGenetic Predisposition to DiseaseFamily historyAlleleAmyotrophic lateral sclerosisGenetics (clinical)AgedGeneticsAged 80 and overDNA Repeat ExpansionC9orf72 ProteinHaplotypeAmyotrophic Lateral SclerosisProteinsmedicine.diseaseEuropeHaplotypesSpainAfricaMutationFemaleTrinucleotide repeat expansionFrontotemporal dementia
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Heterogeneity at the HLA-DRB1 locus and risk for multiple sclerosis.

2006

Variation in major histocompatibility complex genes on chromosome 6p21.3, specifically the human leukocyte antigen HLA-DR2 or DRB1*1501-DQB1*0602 extended haplotype, confers risk for multiple sclerosis (MS). Previous studies of DRB1 variation and both MS susceptibility and phenotypic expression have lacked statistical power to detect modest genotypic influences, and have demonstrated conflicting results. Results derived from analyses of 1339 MS families indicate DRB1 variation influences MS susceptibility in a complex manner. DRB1*15 was strongly associated in families (P=7.8x10(-31)), and a dominant DRB1*15 dose effect was confirmed (OR=7.5, 95% CI=4.4-13.0, P<0.0001). A modest dose effect…

Models MolecularMaleSequence Homologyimmune system diseasesModelsRisk FactorsDatabases GeneticAdult Alleles Amino Acid Sequence Databases; Genetic Female Genetic Variation Genotype HLA-DR Antigens; chemistry/genetics HLA-DRB1 Chains Humans Male Middle Aged Models; Molecular Molecular Sequence Data Multiple Sclerosis; Chronic Progressive; genetics/immunology Multiple Sclerosis; genetics/immunology Phenotype Risk Factors Sequence Homology; Amino Acidskin and connective tissue diseasesHLA-DRB1Genetics (clinical)GeneticsGeneral MedicineMultiple Sclerosis Chronic ProgressiveMiddle AgedAmino AcidChronic ProgressivePhenotypeFemalemusculoskeletal diseasesAdultMultiple SclerosisGenotypeMolecular Sequence DataLocus (genetics)Human leukocyte antigenBiologyDatabases. Alleles phenotype heterogeneity human leukocyte antigens age of onset chromosomes genes genotype haplotypesmultiple sclerosis relapsing-remitting genetics disability primary progressive multiple sclerosis hla-drb1 gene illness length severity of illnessGeneticGenetic variationGeneticsmedicineHumansAmino Acid SequenceAlleleMolecular BiologyAllelesSequence Homology Amino AcidMultiple sclerosisHaplotypeGenetic VariationMolecularHLA-DR Antigensmedicine.diseasegenetics/immunologychemistry/geneticsImmunologyAge of onsetHLA-DRB1 Chains
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Making sense of big data in health research: {T}owards an {EU} action plan

2016

Genome medicine 8(1), 71 (2016). doi:10.1186/s13073-016-0323-y

0301 basic medicineBiomedical ResearchDatabases FactualPREDICTIONComputer scienceBig data: Santé publique services médicaux & soins de santé [D22] [Sciences de la santé humaine]XXBioinformaticsBases de dadesSYSTEMS MEDICINE0302 clinical medicineINFORMATICSCultural diversityHealth careGenetics(clinical)030212 general & internal medicineGenetics (clinical)media_commonGenetics & HeredityExabyteCHALLENGESMacrodadesCANCER3. Good healthAction planMolecular MedicineErratumLife Sciences & BiomedicineMedical GeneticsOpinion: Public health health care sciences & services [D22] [Human health sciences]MedicinaInformation DisseminationMECHANISMS03 medical and health sciencesFUTUREJournal ArticleGeneticsmedia_common.cataloged_instanceHumansKNOWLEDGEEuropean UnionEuropean unionMolecular BiologyMedicinsk genetik0604 GeneticsScience & Technologybusiness.industryInformation DisseminationHealth Plan Implementation1103 Clinical SciencesCAREData scienceData sharing030104 developmental biologyUNDIAGNOSED DISEASES NETWORKbusiness
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