0000000000525823

AUTHOR

J. Winkler

showing 3 related works from this author

Frequency and phenotype of SPG11 and SPG15 in complicated hereditary spastic paraplegia

2009

Background: Hereditary spastic paraplegias (HSP) are clinically and genetically highly heterogeneous. Recently, two novel genes, SPG11 ( spatacsin ) and SPG15 ( spastizin ), associated with autosomal recessive HSP, were identified. Clinically, both are characterised by complicated HSP and a rather similar phenotype consisting of early onset spastic paraplegia, cognitive deficits, thin corpus callosum (TCC), peripheral neuropathy and mild cerebellar ataxia. Objective: To compare the frequency of SPG11 and SPG15 in patients with early onset complicated HSP and to further characterise the phenotype of SPG11 and SPG15. Results: A sample of 36 index patients with early onset complicated HSP and …

AdultMaleAdolescentHereditary spastic paraplegiaGenes RecessiveCompound heterozygosityCorpus callosumCorpus CallosumYoung AdultGene FrequencyIntellectual DisabilitySpasticHumansMedicineMutation frequencyAllele frequencyGenetic Association StudiesPolymorphism GeneticCerebellar ataxiaSpastic Paraplegia Hereditarybusiness.industryProteinsmedicine.diseasePhenotypePsychiatry and Mental healthPhenotypeMutationImmunologyFemaleSurgeryNeurology (clinical)medicine.symptomCarrier ProteinsbusinessNeuroscienceJournal of Neurology, Neurosurgery & Psychiatry
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A giant exoplanet orbiting a very-low-mass star challenges planet formation models

2019

Surveys have shown that super-Earth and Neptune-mass exoplanets are more frequent than gas giants around low-mass stars, as predicted by the core accretion theory of planet formation. We report the discovery of a giant planet around the very-low-mass star GJ 3512, as determined by optical and near-infrared radial-velocity observations. The planet has a minimum mass of 0.46 Jupiter masses, very high for such a small host star, and an eccentric 204-day orbit. Dynamical models show that the high eccentricity is most likely due to planet-planet interactions. We use simulations to demonstrate that the GJ 3512 planetary system challenges generally accepted formation theories, and that it puts con…

010504 meteorology & atmospheric sciencesGas giant530 PhysicsFOS: Physical sciencesMinimum massAstrophysics::Cosmology and Extragalactic Astrophysics7. Clean energy01 natural sciencesSettore FIS/05 - Astronomia e AstrofisicaPlanet0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesEarth and Planetary Astrophysics (astro-ph.EP)PhysicsMultidisciplinary520 AstronomyGiant planetAstronomyPlanetary system620 EngineeringAccretion (astrophysics)ExoplanetOrbitAstrophysics - Solar and Stellar Astrophysics13. Climate actionAstrophysics::Earth and Planetary AstrophysicsAstrophysics - Earth and Planetary AstrophysicsScience
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Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Resear…

2021

Abstract Background Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients’ clinical phenotypes and analyse the differential clinical course. Methods We performed a hierarchical cluster analysis based on Ward’s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results A total of 9363 were available for this analysis. We identified three …

RegistrieResearch Reportmedicine.medical_specialtyMajor adverse outcomeCardiovascular risk factorsCluster analysisRisk FactorsInternal medicineClinical phenotypeAtrial FibrillationEpidemiologyHumansMedicineRegistriesCluster analysiAtrial fibrillation; Clinical management; Clinical phenotypes; Cluster analysis; Major adverse outcomes; Humans; Phenotype; Registries; Research Report; Risk Factors; Atrial FibrillationClinical managementbusiness.industryProportional hazards modelRisk FactorHazard ratioRAtrial fibrillationClinical phenotypesMajor adverse outcomesGeneral Medicinemedicine.diseaseAtrial fibrillationConfidence intervalPhenotypeCohortMedicineObservational studybusinessResearch ArticleHumanBMC Medicine
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