0000000001106209

AUTHOR

Tien Yin Wong

showing 29 related works from this author

Genome-wide association analyses identify multiple loci associated with central corneal thickness and keratoconus

2013

The author manuscript of this article is open access and is freely available online at PubMed Central

medicine.medical_specialtyKeratoconusCorneal Pachymetrygenetic structuresthickness; keratoconus; geneGlaucomaOcular hypertensionGenome-wide association studyBiologyReal-Time Polymerase Chain ReactionKeratoconusWhite PeopleArticleCentral corneal thicknessCorneaAsian PeopleOphthalmologyCorneaOdds RatioGeneticsmedicineHumansCorneal pachymetrymedicine.diagnostic_testForkhead Box Protein O1Forkhead Transcription FactorsGlaucomaOdds ratioMicroarray Analysismedicine.diseaseConfidence intervaleye diseasesFibronectinsmedicine.anatomical_structureGenetic Locisense organsGenome-Wide Association Study
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Trends in Prevalence of Blindness and Distance and Near Vision Impairment Over 30 Years and Contribution to the Global Burden of Disease in 2020

2020

Background: The Vision Loss Expert Group and Global Burden of Disease Study have extensively updated estimates of global vision loss burden in 2020, temporal changeover 3 decades and forecasts for 2050. Methods: A systematic review and meta-analysis was conducted of population-based datasets relevant to vision impairment (VI) from January 1980 to October 2018. Hierarchical models were fitted to estimate 2020 prevalence (with 95% uncertainty intervals, UI) of (1) mild VI (presenting visual acuity [PVA] 6/12). Findings: In 2020, an estimated 43.2 million (95% UI: 37.5-48.2 million; 55% female) people were blind, 295.3 (95% UI 267.0-325.5) million had MSVI, 257.3 (95% UI 232.2-284.7) million h…

Burden of diseasemedicine.medical_specialtyeducation.field_of_studyVisual acuityBlindnessbusiness.industryPopulationGlobal visionmedicine.diseaseExpert groupNear visionEpidemiologyMedicinemedicine.symptombusinesseducationDemographySSRN Electronic Journal
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Genome-wide analysis of multi-ancestry cohorts identifies new loci influencing intraocular pressure and susceptibility to glaucoma

2014

Elevated intraocular pressure (IOP) is an important risk factor in developing glaucoma, and variability in IOP might herald glaucomatous development or progression. We report the results of a genome-wide association study meta-analysis of 18 population cohorts from the International Glaucoma Genetics Consortium (IGGC), comprising 35,296 multi-ancestry participants for IOP. We confirm genetic association of known loci for IOP and primary open-angle glaucoma (POAG) and identify four new IOP-associated loci located on chromosome 3q25.31 within the FNDC3B gene (P = 4.19 x 10(-8) for rs6445055), two on chromosome 9 (P = 2.80 x 10(-11) for rs2472493 near ABCA1 and P = 6.39 x 10(-11) for rs8176693…

MaleIntraocular pressuregenetic structuresGlaucomaGenome-wide association studyCohort Studies0302 clinical medicinePolymorphism (computer science)Risk FactorsPOPULATIONGeneticsAged 80 and overRISK0303 health scienceseducation.field_of_studyCOMMON VARIANTSASSOCIATIONMiddle AgedFemaleTRIALChromosomes Human Pair 3OPEN-ANGLE GLAUCOMAChromosomes Human Pair 9Glaucoma Open-AngleATP Binding Cassette Transporter 1AdultEXPRESSIONmedicine.medical_specialtyOpen angle glaucomaGenotypePopulationChromosome 9BiologyPolymorphism Single NucleotideArticleABO Blood-Group System03 medical and health sciencesYoung AdultMeta-Analysis as TopicOphthalmologyGeneticsmedicineHumansGenetic Predisposition to DiseaseeducationCENTRAL CORNEAL THICKNESSIntraocular PressureMETAANALYSIS030304 developmental biologyGenetic associationAgedChromosomes Human Pair 11Glaucomamedicine.diseaseeye diseasesFibronectinsREDUCTIONGenetic Loci030221 ophthalmology & optometrysense organsGenome-Wide Association StudyNature Genetics
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New insights into the genetics of primary open-angle glaucoma based on meta-analyses of intraocular pressure and optic disc characteristics

2017

Item does not contain fulltext Primary open-angle glaucoma (POAG), the most common optic neuropathy, is a heritable disease. Siblings of POAG cases have a ten-fold increased risk of developing the disease. Intraocular pressure (IOP) and optic nerve head characteristics are used clinically to predict POAG risk. We conducted a genome-wide association meta-analysis of IOP and optic disc parameters and validated our findings in multiple sets of POAG cases and controls. Using imputation to the 1000 genomes (1000G) reference set, we identified 9 new genomic regions associated with vertical cup-disc ratio (VCDR) and 1 new region associated with IOP. Additionally, we found 5 novel loci for optic ne…

0301 basic medicineMaleIntraocular pressuregenetic structuresOptic diskGlaucomaPROTEINGenome-wide association studyIDENTIFIES 5Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]Optic neuropathyOptic Nerve DiseasesPROSTATEGenetics (clinical)RISKAssociation Studies ArticlesCOMMON VARIANTSGeneral MedicineMiddle AgedCANCER3. Good healthmedicine.anatomical_structureOptic nerveFemaleGlaucoma Open-AngleOptic discCyclin-Dependent Kinase Inhibitor p21medicine.medical_specialtyOpen angle glaucomaSUSCEPTIBILITY LOCIOptic Disk610 Medicine & healthBiology03 medical and health sciencesTonometry OcularOphthalmologyGeneticsmedicineHumansGENOME-WIDE ASSOCIATIONMolecular BiologyIntraocular PressureHomeodomain ProteinsP53Genome HumanPOPULATION-BASED EPIDEMIOLOGYZebrafish Proteinsmedicine.diseaseeye diseases030104 developmental biologysense organsGenome-Wide Association StudyHuman Molecular Genetics
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Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2021

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia…

Population -- Health aspectsLeannessBaixo peso/UnderweightnoneDouble burdenalipainoisuustulotasoglobal healthsystematic analysisSedentary behaviorsRC1200Prospective associations0302 clinical medicineunderweightnälänhätäBiology (General)skin and connective tissue diseasesChildrenComputingMilieux_MISCELLANEOUSBody mass indexHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidylipainoGeneral Medicinekansainvälinen vertailu3. Good healthWorld healthMedicineA100 Pre-clinical MedicinePopulation distributionmedicine.medical_specialtyQH301-705.5ScienceSocio-culturaleNursing.Social sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesThinnessSDG 3 - Good Health and Well-beingBMI; epidemiology; global health; none; obesity; underweightNoneHumansObesidade/ObesitySDG 2 - Zero HungereducationVLAGUS adultsOmvårdnadbody mass index; malnutrition; obesity underweightnutritional and metabolic diseasesmedicine.diseaseterveellisyysObesityFaculdade de Ciências SociaisBMI; epidemiology; global health; none; obesity; underweight; Body Mass Index; Humans; Obesity; Prevalence; Risk Factors; ThinnessGeneral BiochemistryWIASlihavuusunderweight ; obesity ; BMIBody mass indexRADemographyN.A.double burdenobesitySettore MED/09 - Medicina Internaalueelliset erotNutrition and DiseaseAnimal Nutrition[SDV]Life Sciences [q-bio]Medizin030204 cardiovascular system & hematology0601 Biochemistry and Cell BiologyChange distribution of body mass indexRisk FactorsRA0421Voeding en ZiekteEpidemiologyPrevalenceMedicine and Health SciencesGlobal healthÍndice de massa corporal/Body Mass Index030212 general & internal medicineUnderweightpainoindeksi2. Zero hungerGeneral NeuroscienceQRaliravitsemuselintarvikkeethealthPublic Health Global Health Social Medicine and EpidemiologyDiervoeding3142 Public health care science environmental and occupational health//purl.org/pe-repo/ocde/ford#3.01.03 [https]/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingChinese adultsepidemiologypooled analysisUnderweightmedicine.symptomDiet qualityB120 PhysiologyResearch Articletrends//purl.org/pe-repo/ocde/ford#1.06.03 [https]prevalencePopulationMothersGenetics and Molecular Biologybody mass indexmalnutrition3121 Internal medicineBMImedicineLife Scienceddc:6103125 Otorhinolaryngology ophthalmologyObesitykehonkoostumusNutritionAustralian adultsGeneral Immunology and Microbiology//purl.org/pe-repo/ocde/ford#3.01.04 [https]Ciências sociaisFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionEpidemiology and Global Healthsense organsEstilos de Vida e Impacto na Saúde
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Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia

2013

Author version made available in accordance with the publisher's policy.

Candidate geneRefractive errorBone Morphogenetic Protein 2Genome-wide association studyVARIANTSGenomeGenome-wide association studies0302 clinical medicineRisk FactorsMyopiaGRIA4Genetics0303 health sciencesKCNQ Potassium ChannelsDisease geneticsEYE GROWTHASSOCIATIONRETINAL-PIGMENT EPITHELIUMRefractive ErrorsGenetic load3. Good healthADAPTED MOUSE RETINAMeta-analysisACIDPOTASSIUM CHANNELEXPRESSIONSingle-nucleotide polymorphismBiologyWhite PeopleArticle03 medical and health sciencesAsian PeoplemedicineGeneticsHumansGenetic Predisposition to DiseaseReceptors AMPAgene; myopia; refractive030304 developmental biologyHomeodomain Proteinsta1184ta3121medicine.diseaseGENEAlcohol OxidoreductasesSERINE-PROTEASEbiology.protein030221 ophthalmology & optometrySusceptibility locusTrans-ActivatorsEye disorderLamininSerine ProteasesGWAS; meta-analyses; refractive error; myopiaGenome-Wide Association StudyNature Genetics
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Author response: Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2020

education.field_of_studybusiness.industryPopulationDistribution (economics)medicine.diseaseObesityGeographymedicineUnderweightmedicine.symptomeducationbusinessBody mass indexDemography
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Association of Birth Weight With Type 2 Diabetes and Glycemic Traits: A Mendelian Randomization Study.

2019

Key Points Question Is birth weight associated with type 2 diabetes and glycemic traits? Findings This mendelian randomization study found that a 1-SD decrease in birth weight due to the genetic risk score was associated with a higher risk of type 2 diabetes among European and East Asian populations. In addition, a 1-SD decrease in birth weight was associated with a 0.189-SD increase in fasting glucose concentration, but not with fasting insulin, 2-hour glucose, or hemoglobin A1c level. Meaning A genetic predisposition to lower birth weight was associated with an increased risk of type 2 diabetes and increased fasting glucose, suggesting potential mechanisms through which perturbation of th…

Blood GlucoseMaleType 2 diabetes0302 clinical medicineOdds RatioBirth WeightInsulin030212 general & internal medicineOriginal Investigation0303 health sciencesAsia EasternMendelian Randomization AnalysisGeneral MedicineMiddle Aged16. Peace & justice3. Good healthOnline OnlyDiabetes and EndocrinologyFemaletype 2 diabetesAdultmedicine.medical_specialtyDiabetes riskAdolescentBirth weightPolymorphism Single NucleotideWhite People03 medical and health sciencesYoung AdultSDG 3 - Good Health and Well-beingAsian PeopleDiabetes mellitusInternal medicineMendelian randomizationmedicineHumans030304 developmental biologyGlycemicAgedGlycated Hemoglobinbusiness.industryResearchInfant Newbornbirth weightGenetic VariationOdds ratioMendelian Randomization Analysismedicine.diseaseDiabetes Mellitus Type 2mendelian randomization studybusinessJAMA network open
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Classification of SD-OCT Volumes for DME Detection: An Anomaly Detection Approach

2016

International audience; Diabetic Macular Edema (DME) is the leading cause of blindness amongst diabetic patients worldwide. It is characterized by accumulation of water molecules in the macula leading to swelling. Early detection of the disease helps prevent further loss of vision. Naturally, automated detection of DME from Optical Coherence Tomography (OCT) volumes plays a key role. To this end, a pipeline for detecting DME diseases in OCT volumes is proposed in this paper. The method is based on anomaly detection using Gaussian Mixture Model (GMM). It starts with pre-processing the B-scans by resizing, flattening, filtering and extracting features from them. Both intensity and Local Binar…

SD-OCTgenetic structuresComputer scienceLocal binary patternsDiabetic macular edema[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciences010309 optics03 medical and health sciencesGaussian Mixture Model0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Optical coherence tomography0103 physical sciencesmedicineComputer visionSensitivity (control systems)Local Binary PatternBlindnessmedicine.diagnostic_testbusiness.industryAnomaly (natural sciences)[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]medicine.diseaseMixture modeleye diseasesDiabetic Macular EdemaOutlierAnomaly detectionArtificial intelligencebusiness030217 neurology & neurosurgery
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Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection

2016

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Optical Coherence Tomography (OCT) has been a valuable diagnostic tool for DME, which is among the most common causes of irreversible vision loss in individuals with diabetes. Here, a classification framework with five distinctive steps is proposed and we present an extensive study of each step. Our method considers combination of various pre-processings in conjunction with Local Binary Patterns (LBP) features and different mapping strategies. Using linear and non-linear cl…

genetic structures[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Segmentationlcsh:OphthalmologySpeckleLBPDiagnosisPrevalencePreprocessorComputer visionSegmentationmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingExperimental validationDiabetic Macular Edema[ SDV.MHEP.OS ] Life Sciences [q-bio]/Human health and pathology/Sensory OrgansOptical Coherence Tomography[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingResearch ArticleArticle SubjectLocal binary patterns03 medical and health sciencesSpeckle patternOptical coherence tomography[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyMedical imagingmedicineDME[INFO.INFO-IM]Computer Science [cs]/Medical ImagingCoherence (signal processing)Texture[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansRetinopathy[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitioneye diseasesOphthalmologyOCTlcsh:RE1-994030221 ophthalmology & optometryImagesArtificial intelligencebusiness030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis…

2020

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.

Malebody-mass indexADULTHOODAdolescentspituuskasvuPediatricsBody Mass Index0302 clinical medicineChild DevelopmentnuoretPublic health surveillanceMedicineHealth Status Indicators10. No inequalityChild11 Medical and Health SciencesBody mass indexComputingMilieux_MISCELLANEOUSeducation.field_of_studyVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801General MedicineBody mass indexeskansainvälinen vertailu3. Good healthGeographyHealth030220 oncology & carcinogenesisChild PreschoolMedical and Health sciences//purl.org/becyt/ford/3 [https]medicine.medical_specialtySchool-aged adolescentsSocio-culturalelapset (ikäryhmät)Nursing.territoriesravinto//purl.org/becyt/ford/3.3 [https]03 medical and health sciencesSchool ChildrenSDG 3 - Good Health and Well-beingSYSTEMATIC ANALYSISHumansschool-aged children and adolescentsMontenegroeducationScience & TechnologyOmvårdnadHealth sciences Medical and Health sciencesCiências médicas e da saúdeBayes TheoremAnthropometryAdolescent Developmentmedicine.diseaseTRENDSHeight and Body-mass IndexFaculdade de Ciências SociaisUNDERNUTRITIONHeight index trajectoriesHeight body mass index children epidemiologybody-mass index; school-aged children and adolescents; risk factors growthStatureBody mass indexDemographySettore MED/09 - Medicina InternaInternationality[SDV]Life Sciences [q-bio]030204 cardiovascular system & hematologyBody-mass index trajectoriesEpidemiologyMedicine and Health Sciencesrisk factorscountriesEPIDEMIOLOGYheight ; body-mass index ; children ; adolescents ; BMI030212 general & internal medicinepainoindeksiChild development2. Zero hungerMedicine(all)School age childobestity children cardiovascularPopulation Health1. No povertyPediatrikPublic Health Global Health Social Medicine and Epidemiology3142 Public health care science environmental and occupational healthPeer reviewPooled analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNUTRITIONFemalemedicine.symptompooled analysis/dk/atira/pure/subjectarea/asjc/2700Life Sciences & Biomedicineterveysheight BMI nutrition health children adolescentsAdolescentgrowthPopulationbody-massPopulation basedBody-mass indexBMIYoung AdultMedicine General & InternalchildrenMeta-Analysis as TopicGeneral & Internal Medicineparasitic diseasesWeight gainSchool-aged childrensAge trajectoriesbusiness.industryHeightWeightBody HeightFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionONSETCiências da Saúde Ciências médicas e da saúdeSchool-aged childrenVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessWeight gainterveysriskitEstilos de Vida e Impacto na Saúde
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Nine Loci for Ocular Axial Length Identified through Genome-wide Association Studies, Including Shared Loci with Refractive Error

2013

Refractive errors are common eye disorders of public health importance worldwide. Ocular axial length (AL) is the major determinant of refraction and thus of myopia and hyperopia. We conducted a meta-analysis of genome-wide association studies for AL, combining 12,531 Europeans and 8,216 Asians. We identified eight genome-wide significant loci for AL (RSPO1, C3orf26, LAMA2, GJD2, ZNRF3, CD55, MIP, and ALPPL2) and confirmed one previously reported AL locus (ZC3H11B). Of the nine loci, five (LAMA2, GJD2, CD55, ALPPL2, and ZC3H11B) were associated with refraction in 18 independent cohorts (n = 23,591). Differential gene expression was observed for these loci in minus-lens-induced myopia mouse …

AdultMaleRefractive errorAdolescentGene ExpressionLocus (genetics)Genome-wide association studyBiologyOcular Axial LengthPolymorphism Single NucleotideWhite PeopleArticle03 medical and health sciences0302 clinical medicineAsian PeopleSDG 3 - Good Health and Well-beingmedicineGeneticsHumansGWASGenetic Predisposition to DiseaseGenetics(clinical)RSPO1Eye ProteinsGeneGenetics (clinical)030304 developmental biologyGenetic associationAgedGenetics0303 health sciencesta1184HeritabilityMiddle Agedta3121medicine.diseaseRefractive ErrorsAxial Length EyeGenetic Loci030221 ophthalmology & optometryEye disorderFemaleGenome-Wide Association StudySignal Transduction
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Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error

2016

Myopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (SNP) main effects and SNP × education interaction effects on refractive error in 40,036 adults from 25 studies of European ancestry and 10,315 adults from 9 studies of Asian ancestry. In European ancestry individuals, we identify six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error. In Asian populations, three genome-wide significant loci AREG…

0301 basic medicineRefractive errorgenetic structuresGeneral Physics and AstronomyGenome-wide association studyVARIANTSrefractive error ; geneEYEBioinformaticsINCIDENT MYOPIAGenome-wide association studiesSensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]0302 clinical medicinePolymorphism (computer science)10. No inequalityPOPULATIONeducation.field_of_studyMultidisciplinaryQACTIVATED PROTEIN-KINASEta3142single-nucleotide polymorphismRETINAL-PIGMENT EPITHELIUMOUTDOOR ACTIVITY3142 Public health care science environmental and occupational health3. Good healthRefractive errorsMeta-analysislociEducational StatusSciencePopulation610 Medicine & healthEnvironmentBiologyta3111Polymorphism Single NucleotideArticleWhite PeopleGeneral Biochemistry Genetics and Molecular BiologyEducation03 medical and health sciencesAsian PeopleSDG 3 - Good Health and Well-beingGenetic variationmedicineHumansSNPGenetic Predisposition to Diseasemyopia3125 Otorhinolaryngology ophthalmologyGenetic variationeducationRECEPTORGene Expression Profilingta1184General ChemistryHeritabilitymedicine.diseaseeye diseasesta3125TIME OUTDOORS030104 developmental biologyGenetic LociEvolutionary biologyRISK-FACTORS030221 ophthalmology & optometryREsense organs3111 BiomedicineGenome-Wide Association StudyNature Communications
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Genetic variants linked to myopic macular degeneration in persons with high myopia: CREAM Consortium.

2019

Purpose: To evaluate the roles of known myopia-associated genetic variants for development of myopic macular degeneration (MMD) in individuals with high myopia (HM), using case-control studies from the Consortium of Refractive Error and Myopia (CREAM). Methods: A candidate gene approach tested 50 myopia-associated loci for association with HM and MMD, using meta-analyses of case-control studies comprising subjects of European and Asian ancestry aged 30 to 80 years from 10 studies. Fifty loci with the strongest associations with myopia were chosen from a previous published GWAS study. Highly myopic (spherical equivalent [SE] ≤ -5.0 diopters [D]) cases with MMD (N = 348), and two sets of cont…

Refractive errorCandidate genegenetic structuresEmmetropiaGenome-wide association studySensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]Macular DegenerationMathematical and Statistical TechniquesMedicine and Health SciencesMyopiaGeriatric OphthalmologyDioptreVisual ImpairmentsAged 80 and overMultidisciplinaryQRetinal DegenerationStatisticsRGenomicsMetaanalysisPhenotypeResearch DesignPhysical SciencesMedicineRetinal DisordersFemaleAnatomyResearch Articlemedicine.medical_specialtyScienceOcular AnatomySingle-nucleotide polymorphismResearch and Analysis MethodsRetinaOcular SystemOphthalmologyGeneticsGenome-Wide Association StudiesmedicineHumansStatistical Methodsbusiness.industryGene Expression ProfilingCase-control studyBiology and Life SciencesComputational BiologyGenetic VariationCorrectionHuman GeneticsMacular degenerationGenome Analysismedicine.diseaseeye diseasesOphthalmologyGenetic LociGeriatricsMacular DisordersCase-Control StudiesEyessense organsbusinessHeadMathematicsPloS one
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Large scale international replication and meta-analysis study confirms association of the 15q14 locus with myopia. The CREAM consortium.

2012

Myopia is a complex genetic disorder and a common cause of visual impairment among working age adults. Genome-wide association studies have identified susceptibility loci on chromosomes 15q14 and 15q25 in Caucasian populations of European ancestry. Here, we present a confirmation and meta-analysis study in which we assessed whether these two loci are also associated with myopia in other populations. The study population comprised 31 cohorts from the Consortium of Refractive Error and Myopia (CREAM) representing 4 different continents with 55,177 individuals; 42,845 Caucasians and 12,332 Asians. We performed a meta-analysis of 14 single nucleotide polymorphisms (SNPs) on 15q14 and 5 SNPs on …

PopulationLocus (genetics)Genome-wide association studySingle-nucleotide polymorphismBiologyPolymorphism Single Nucleotide03 medical and health sciences0302 clinical medicineMyopiaGeneticsHumansSNPGenetics(clinical)AlleleeducationAllelesGenetics (clinical)Original Investigation030304 developmental biologyGenetic associationGeneticsChromosomes Human Pair 150303 health scienceseducation.field_of_study3. Good healthPhenotype030221 ophthalmology & optometryPopulation studyRE
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Repositioning of the global epicentre of non-optimal cholesterol

2020

Publisher's version (útgefin grein)

MaleMyocardial Ischemia/bloodBLOOD-PRESSUREtriglicéridos0302 clinical medicineCardiovascular diseases ; Risk factorsHDL cholesterol80 and overCARDIOVASCULAR RISK-FACTORSPublic health surveillance//purl.org/pe-repo/ocde/ford#3.02.04 [https]BlóðrásarsjúkdómarSocioeconomicsmediana edadComputingMilieux_MISCELLANEOUSPOPULATIONHypercholesterolemia/bloodAged 80 and overCholesterol HDL/bloodancianoeducation.field_of_studyKólesterólriskitekijätadulto3. Good healthadulto jovenTriglycerides/bloodCardiovascular diseasesGeographyCholesterolManchester Institute for Collaborative Research on AgeingCholesterol LDL/bloodDENSITY-LIPOPROTEIN CHOLESTEROLEndokrinologi och diabetesNCD Risk Factor Collaboration (NCD-RisC)Science & Technology - Other Topics//purl.org/becyt/ford/3 [https]Westernteorema de Bayesmedicine.medical_specialtyResearchInstitutes_Networks_Beacons/MICRAHDLMedicinaHypercholesterolemiahipercolesterolemiaNursingHEART-DISEASEEndocrinology and DiabetesHigh blood cholesterol.HDL-kolesteroliArticleLDLravintoHealth risk assessment03 medical and health sciences//purl.org/becyt/ford/3.3 [https]SDG 3 - Good Health and Well-beingBlood cholesterolHumanseducationSERUM-CHOLESTEROLVLAGAgedScience & TechnologyCholesterolPublic healthOmvårdnadHuman healthVDP::Medisinske Fag: 700::Basale medisinske odontologiske og veterinærmedisinske fag: 710Bayes TheoremATHEROSCLEROSIS SOCIETYRisk factorschemistryLipid-lowering medicationsFaculdade de Ciências SociaisEast and southeast Asiaalueelliset erotInternationalityNutrition and Disease[SDV]Life Sciences [q-bio]kolesterolihumanosMyocardial IschemiaMedizinadolescenteNon-HDL cholesterolBlood lipids030204 cardiovascular system & hematologyisquemia miocárdicachemistry.chemical_compoundCholesterol epidemiologyMEDICATION USEVoeding en ZiekteMedicine and Health SciencesAdolescent; Adult; Aged; Aged 80 and over; Bayes Theorem; Cholesterol HDL; Cholesterol LDL; Female; Humans; Hypercholesterolemia; Male; Middle Aged; Myocardial Ischemia; Stroke; Triglycerides; Young Adult; Internationality030212 general & internal medicine2. Zero hungerMultidisciplinaryMortality rateRepositioningStroke/blood1. No povertyPublic Health Global Health Social Medicine and EpidemiologycolesterolMiddle AgedVDP::Medical disciplines: 700::Basic medical dental and veterinary science disciplines: 7103142 Public health care science environmental and occupational healthPeer reviewStrokeMultidisciplinary SciencesTrend analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalelipids (amino acids peptides and proteins)LIPIDSAdultAdolescentGeneral Science & TechnologyPopulationepicentre20-YEAR TRENDSYoung AdultmedicineLife Scienceddc:610accidente cerebrovascularDisease burdenTriglyceridesNutritionHigh density lipoproteinsnon-optimal cholesterolCholesterol HDLinternacionalidadCholesterol LDLTreatmentFolkhälsovetenskap global hälsa socialmedicin och epidemiologi
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Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM conso…

2015

To identify genetic variants associated with refractive astigmatism in the general population, meta-analyses of genome-wide association studies were performed for: White Europeans aged at least 25 years (20 cohorts, N = 31,968); Asian subjects aged at least 25 years (7 cohorts, N = 9,295); White Europeans aged <25 years (4 cohorts, N = 5,640); and all independent individuals from the above three samples combined with a sample of Chinese subjects aged <25 years (N = 45,931). Participants were classified as cases with refractive astigmatism if the average cylinder power in their two eyes was at least 1.00 diopter and as controls otherwise. Genome-wide association analysis was carried out for …

MaleRefractive errorBLUE MOUNTAINS EYECORNEAL ASTIGMATISMSpherical equivalentGenome-wide association studyastigmatism; gene; SNPDISEASECohort Studies0302 clinical medicineStatisticsGenetics(clinical)Neural Cell Adhesion MoleculesPOPULATIONGenetics (clinical)Original InvestigationGenetics0303 health scienceseducation.field_of_studyAge FactorsHigh Mobility Group ProteinsMiddle Aged3142 Public health care science environmental and occupational health3. Good healthFemaleOPEN-ANGLE GLAUCOMAAdultGenetic MarkersEXPERIMENTALLY-INDUCED MYOPIAKeratoconusSUSCEPTIBILITY LOCICell Adhesion Molecules NeuronaleducationPopulationNerve Tissue ProteinsAstigmatismBiologyWhite People03 medical and health sciencesAGEAsian PeopleMAJOR LOCUSmedicineGeneticsHumans3125 Otorhinolaryngology ophthalmologyeducation030304 developmental biologyGenetic associationCalcium-Binding ProteinsAstigmatismHeritabilitymedicine.diseaseNONCODING RNAS030221 ophthalmology & optometryGenome-Wide Association Study
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Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million …

2016

Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY.

MaleObesidadCHILDRENSaludReviewpaíses desarrolladosGlobal HealthBody Mass IndexBody mass index population study0302 clinical medicineModelsFactores de riesgo cardiovascularMedicinebody mass index ; underweight ; overweight ; obesityYoung adultHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidGeneral MedicineASSOCIATION11 Medical And Health Sciencesadultopredicciónadulto jovenCARDIOVASCULAR-DISEASEthinness/epidemiologyNONCOMMUNICABLE DISEASESNCD Risk Factor Collaboration (NCD-RisC)Enfermedades cardiovascularesDeveloped countryteorema de BayesMedical sciences03 medical and health sciencesSDG 3 - Good Health and Well-beingThinnessHumanseducationDeveloping CountriesobesidadVLAGScience & TechnologyModels StatisticalCAUSE-SPECIFIC MORTALITYBayes Theoremmedicine.diseaseQPObesityadult body-massIndice de masa corporal (IMC)RISK-FACTORSAdolescent; Adult; Bayes Theorem; Body Mass Index; Developed Countries; Developing Countries; Female; Forecasting; Global Health; Humans; Male; Models Statistical; Obesity/epidemiology; Prevalence; Thinness/epidemiology; Young AdultRABody mass indexDemographyMeta-AnalysisGerontologySettore MED/09 - Medicina InternaNutrition and DiseasehumanosadolescenteOverweightpaíses en desarrolloVoeding en ZiekteMedicine and Health SciencesGlobal healthPrevalence030212 general & internal medicineNon-U.S. Gov'tMedicine (all)Research Support Non-U.S. Gov'tprevalenciaPublic Health Global Health Social Medicine and EpidemiologyStatisticalAdolescent; Adult; Bayes Theorem; Developed Countries; Developing Countries; Female; Forecasting; Humans; Male; Models Statistical; Obesity; Prevalence; Thinness; Young Adult; Body Mass Index; Global Health; Medicine (all)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleUnderweightmedicine.symptompooled analysisLife Sciences & Biomedicineobesity/*epidemiologyAdultAdolescentPopulation030209 endocrinology & metabolismResearch SupportYoung AdultMedicine General & InternalEPIDEMICGeneral & Internal MedicineJournal ArticleLife Scienceddc:610ObesityObesidad morbidaOBESITY PREVENTIONOVERWEIGHTbusiness.industryDeveloped Countriesíndice de masa corporalCOHORTS//purl.org/pe-repo/ocde/ford#3.02.00 [https]Folkhälsovetenskap global hälsa socialmedicin och epidemiologiCiencias socio biomédicasbusinessdelgadezForecasting
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Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: application to DME detections.

2016

This paper deals with the automated detection of Diabetic Macular Edema (DME) on Optical Coherence Tomography (OCT) volumes. Our method considers a generic classification pipeline with preprocessing for noise removal and flattening of each B-Scan. Features such as Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP) are extracted and combined to create a set of different feature vectors which are fed to a linear-Support Vector Machines (SVM) Classifier. Experimental results show a promising sensitivity/specificity of 0.75/0.87 on a challenging dataset.

Support Vector Machinegenetic structuresDatabases FactualComputer science[INFO.INFO-IM] Computer Science [cs]/Medical Imaging02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0202 electrical engineering electronic engineering information engineeringImage Processing Computer-AssistedSegmentationComputer visionmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingDiabetic retinopathyHistogram of oriented gradientsmedicine.anatomical_structure020201 artificial intelligence & image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingTomography Optical CoherenceLocal binary patternsFeature vectorDiabetic macular edemaFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingSensitivity and SpecificityMacular Edema010309 opticsOptical coherence tomographyHistogram0103 physical sciencesmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansMacular edema[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRetinaDiabetic Retinopathybusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionImage segmentationmedicine.diseaseeye diseasesSupport vector machineComputingMethodologies_PATTERNRECOGNITIONsense organsArtificial intelligencebusinessAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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A genome-wide association study of corneal astigmatism: The CREAM Consortium

2018

Contains fulltext : 191261.pdf (Publisher’s version ) (Open Access) Purpose: To identify genes and genetic markers associated with corneal astigmatism. Methods: A meta-analysis of genome-wide association studies (GWASs) of corneal astigmatism undertaken for 14 European ancestry (n=22,250) and 8 Asian ancestry (n=9,120) cohorts was performed by the Consortium for Refractive Error and Myopia. Cases were defined as having >0.75 diopters of corneal astigmatism. Subsequent gene-based and gene-set analyses of the meta-analyzed results of European ancestry cohorts were performed using VEGAS2 and MAGMA software. Additionally, estimates of single nucleotide polymorphism (SNP)-based heritability for …

0301 basic medicineReceptor Platelet-Derived Growth Factor alphaAcid PhosphataseGene Expression610 Medicine & healthbiomarkkeritPolymorphism Single NucleotideWhite PeopleSensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]Corneal DiseasesCohort StudiesCornea03 medical and health sciences0302 clinical medicineAsian PeopleOdds RatioHumansGenetic Predisposition to Disease610 Medicine &amp; healthsarveiskalvogeenitIntracellular Signaling Peptides and ProteinsAstigmatism030104 developmental biologysilmätauditClaudinsgenetic markers030221 ophthalmology & optometrycorneal astigmatismSoftwaresilmätResearch ArticleGenome-Wide Association Study
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Classifying DME vs Normal SD-OCT volumes: A review

2016

International audience; This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification problem has valuable interest since early detection and treatment of DME play a major role to prevent eye adverse effects such as blindness. The main contribution of this article is to cover the lack of a public dataset and benchmark suited for classifying DME and normal SD-OCT volumes, providing our own implementation of the most relevant methodologies in the literature. Subsequently, 6 different methods were implemented and evaluated using this comm…

genetic structuresComputer scienceDiabetic macular edemaEarly detection[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingMachine learningcomputer.software_genre01 natural sciences010309 optics03 medical and health sciences0302 clinical medicinebenchmark0103 physical sciencesmedicine[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRetinaBlindnessbusiness.industryMachine Learning (ML)medicine.diseaseeye diseasesSpectral Domain OCT (SD-OCT)medicine.anatomical_structure030221 ophthalmology & optometryBenchmark (computing)Artificial intelligenceData miningsense organsDiabetic Macular Edema (DME)businesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Meta-analysis of Genome-Wide Association Studies Identifies Novel Loci Associated With Optic Disc Morphology

2015

Primary open-angle glaucoma is the most common optic neuropathy and an important cause of irreversible blindness worldwide. The optic nerve head or optic disc is divided in two parts: a central cup (without nerve fibers) surrounded by the neuroretinal rim (containing axons of the retinal ganglion cells). The International Glaucoma Genetics Consortium conducted a meta-analysis of genome-wide association studies consisting of 17,248 individuals of European ancestry and 6,841 individuals of Asian ancestry. The outcomes of the genome-wide association studies were disc area and cup area. These specific measurements describe optic nerve morphology in another way than the vertical cup-disc ratio, …

Aginggenetic structuresEpidemiologyOptic diskGlaucomaGenome-wide association studyNeurodegenerativeEyeOptic neuropathyOptic Nerve DiseasesNERVEGWASGenetics (clinical)GeneticsNEIGHBORHOOD ConsortiumATOH7Asiansmedicine.anatomical_structurecup areaOptic nervePublic Health and Health ServicesOPEN-ANGLE GLAUCOMATRAITSOptic discAsian Continental Ancestry Groupmedicine.medical_specialtyOpen angle glaucomaEuropean Continental Ancestry GroupOptic DiskQuantitative Trait LociBiologyOCULAR-TISSUESRetinal ganglionArticleWhite PeopleAsian PeopleOphthalmologymedicineGeneticsHumansdisc areaEye Disease and Disorders of VisionWhitesHuman GenomeNeurosciencesGlaucomaGENOTYPESmedicine.diseaseGENEeye diseasesSIZEglaucomasense organsGenome-Wide Association Study
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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

2016

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation o…

0301 basic medicineNephrologyGenetics and Molecular Biology (all)estimated glomerular filtration rateestimated glomerular filtration rate chronic kidney disease genetic determinantsGeneral Physics and AstronomyKidney developmentGenome-wide association studyBiochemistrySettore MED/14 - NEFROLOGIARenal InsufficiencyChronicGeneticsAGEN Consortiumddc:616education.field_of_studyKidneyStage renal-diseaseMultidisciplinaryGenome-wide associationCHARGe-Heart Failure GroupGene Expression Regulation; Genome-Wide Association Study; Genotype; Humans; Renal Insufficiency Chronic; Genetic Predisposition to Disease; Biochemistry Genetics and Molecular Biology (all); Chemistry (all); Physics and Astronomy (all)QChemistry (all)MetaanalysisGene Expression Regulation; Genetic Predisposition to Disease; Genome-Wide Association Study; Genotype; Humans; Renal Insufficiency Chronic/geneticsBiological sciencesSerum creatininemedicine.anatomical_structureEfficientRonyons -- FisiologiaHypertensionICBP ConsortiumTransmembrane transporter activitygenetic association loci kidney functionCARDIOGRAMHumanmedicine.medical_specialtyGenotypeSciencePopulationRenal functionECHOGen ConsortiumReplicationBiologyEnvironmentResearch SupportGeneral Biochemistry Genetics and Molecular BiologyN.I.H.genetic determinants03 medical and health sciencesPhysics and Astronomy (all)GENOME-WIDE ASSOCIATION ; FALSE DISCOVERY RATES ; STAGE RENAL-DISEASE ; SERUM CREATININE ; METAANALYSIS ; VARIANTS ; INDIVIDUALS ; POPULATION ; RISK ; HYPERTENSIONKidney functionResearch Support N.I.H. ExtramuralInternal medicineMD MultidisciplinarymedicineGeneticsJournal ArticleHumanseGFRcrea; eGFRcysGenetic Predisposition to Diseaseddc:610GenetikRenal Insufficiency ChronicMortalityeducationddc:613Biochemistry Genetics and Molecular Biology (all)urogenital systemIndividualsExtramuralGeneral Chemistryta3121medicine.diseaseR1030104 developmental biologyGene Expression RegulationBiochemistry Genetics and Molecular Biology (all); Chemistry (all); Physics and Astronomy (all)570 Life sciences; biologyGenèticachronic kidney diseaseKidney diseaseGenome-Wide Association StudyMeta-Analysis
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Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and me…

2017

PubMed: 28779882

AFRICAPopulation ageingmedicine.medical_specialtyVisual acuity[SDV]Life Sciences [q-bio]PopulationVisual impairmentVision DisordersVisual AcuityEYEBlindnessGlobal Health03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-being[SDV.IDA]Life Sciences [q-bio]/Food engineeringPrevalenceJournal ArticleGlobal healthHumansMedicineVISUAL IMPAIRMENT[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering030212 general & internal medicineeducationPublic Environmental & Occupational Healtheducation.field_of_studyScience & Technologybusiness.industryMORTALITYPublic healthlcsh:Public aspects of medicineMedicine (all)COSTlcsh:RA1-1270General MedicinePresbyopiamedicine.diseaseVision Loss Expert Group3. Good healthMeta-analysis030221 ophthalmology & optometry/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingHEALTHmedicine.symptombusinessLife Sciences & BiomedicineDemography
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Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018…

2018

Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean dia…

systolic blood pressureSettore MED/09 - Medicina Internablood pressure measurementHEALTH EXAMINATION SURVEYSBlood Pressure ; Hypertension ; Population Health ; Global Health ; Non-communicable DiseaseEpidemiology[SDV]Life Sciences [q-bio]global healthSouth Asia//purl.org/pe-repo/ocde/ford#3.03.09 [https]kohonnut verenpaineMedicine and Health Sciencesmiddle income countrymeasurement methodskin and connective tissue diseasesVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771Public Environmental & Occupational HealthadultPopulation healthpublic healthblood pressure regulationPublic Health Global Health Social Medicine and EpidemiologyNon-communicable diseasekansainvälinen vertailuhealth surveyagedfemalepriority journalHypertensionBlood pressuremean arterial pressureGLOBAL TRENDSSODIUM-INTAKELife Sciences & Biomedicinesurvey designhypertensionprevalenceGlobal healthUNITED-STATESURBAN COMMUNITIESArticleSECULAR TRENDSMiddle EastCentral Asiamaledisease prevalence[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemkansanterveysbloodSYSTEMATIC ANALYSIShumanverenpainetautiBlood pressure; Global health; Hypertension; Non-communicable disease; Population health; Epidemiology; public health;non-communicable diseaseScience & TechnologyPacific Oceanhigh income countrydiastolic blood pressurePacific RimBlood pressure; Global health; Hypertension; Non-communicable disease; Population healthBlood Pressure - Epidemiology - PopulationNorth Africamajor clinical studyHYPERTENSION PREVALENCEverenpaineFolkhälsovetenskap global hälsa socialmedicin och epidemiologiARTERIAL-HYPERTENSION[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiePOTASSIUM INTAKEsense organstrend analysistrend studypopulation researchpopulation health[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologylow income country
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Rising rural body-mass index is the main driver of the global obesity epidemic in adults

2019

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions…

MaleRural PopulationobesityObesity body mass indexSettore MED/09 - Medicina InternaLetterUrban PopulationEpidemiology[SDV]Life Sciences [q-bio]humanosbody-mass indexadolescenteGeographic MappingSex Factorpaíses desarrolladosRural Health//purl.org/pe-repo/ocde/ford#3.03.09 [https]systematic analysisBody Mass Indexpaíses en desarrollo80 and overrisk factorsAge Factorphysical-activitymediana edadmapeo geográficoAged 80 and overanciano//purl.org/pe-repo/ocde/ford#3.02.18 [https]dietaAge FactorshealthadultoMiddle AgedMultidisciplinary Sciencesadulto joven[SDV] Life Sciences [q-bio]estado nutricionalnutritionScience & Technology - Other TopicsNUTRITIONFemaleHEALTHpooled analysisDiet Healthyworldwide trendsHumanDeveloped CountrieAdultAdolescent//purl.org/pe-repo/ocde/ford#3.03.04 [https]FOOD SYSTEMSocio-culturaleNutritional StatusURBANAdolescent; Adult; Age Factors; Aged; Aged 80 and over; Developed Countries; Developing Countries; Diet Healthy; Female; Geographic Mapping; Humans; Male; Middle Aged; Obesity; Rural Health; Rural Population; Sex Factors; Urban Health; Urban Population; Young Adult; Body Mass Index; Nutritional StatusPOOLED ANALYSISDeveloping CountrieYoung AdultSex FactorsMIDDLE-INCOME COUNTRIESSYSTEMATIC ANALYSISHumansUrban rural Obesity Body-Mass-IndexObesityobesidadDeveloping CountriesAgedMiddle-income countries; obesity; physical-activity; systematic analysis; worldwide trends; pooled analysis; food system; urban; health; nutrition; weightHealthyScience & TechnologyMiddle-income countriesDeveloped Countriesíndice de masa corporalUrban HealthweightDietPHYSICAL-ACTIVITYWORLDWIDE TRENDSRisk factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieWEIGHTfood systemurban
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Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement s…

2017

© 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5–19 years. We used a Bayesian hierarchical model …

MaleobesityPediatric ObesitySettore MED/09 - Medicina Internaage distributionBayes theoremNiue[SDV]Life Sciences [q-bio]global healthpreschool childBody Mass IndexunderweightPrevalencestatistics and numerical dataChildComputingMilieux_MISCELLANEOUSMedicine (all)adultAge FactorsAmerican Samoafemalepriority journalChild Preschoolbody heightyoung adultCook IslandsNauruchildhood obesityAdolescentPalausex differenceEastern Europeadolescent obesityArticlePolynesiaSouth and Central Americabody weightFederated States of MicronesiaSex FactorsThinnessgeographic distributionHumanscontrolled studyhumanCaribbeanOverweightNorth Africamajor clinical studybody massUnited States//purl.org/pe-repo/ocde/ford#3.02.00 [https]agesex factortrend study
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A century of trends in adult human height

2016

Article

estatura corporalEpidemiologyComputingMilieux_LEGALASPECTSOFCOMPUTINGmedical research;pituuskasvuGlobal Healthmedical research0302 clinical medicineadultsPublic health surveillanceBiology (General)ComputingMilieux_MISCELLANEOUSheight ; global ; trendsPOPULATIONHuman Nutrition & Healthbiological sciences;education.field_of_studyEVOLUÇÃO HUMANAbiological sciencesHumane Voeding & GezondheidGeneral MedicineadultoHälsovetenskaperBiological sciencesnutritionOF-THE-LITERATUREMedicineGROWTHHEALTHPublic HealthHumanQH301-705.5ScienceSECULAR CHANGESSocio-culturaleGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesEpidemiology; Public HealthMedical researchNoneHealth SciencesHumansHuman heighteducationVLAGNeuroscience (all)Biochemistry Genetics and Molecular Biology (all)Adult human heightCHILD UNDERNUTRITION030104 developmental biologyBody mass index030217 neurology & neurosurgeryheightDemography0301 basic medicineSettore MED/09 - Medicina InternaNutrition and DiseaseImmunology and Microbiology (all)[SDV]Life Sciences [q-bio]humanosbiological sciences; epidemiology; global health; medical research; none; nutritionVoeding en ZiekteStature -- History -- 20th centuryMedicine and Health SciencesBiological sciencesaikuisetGeneral NeuroscienceQRPublic Health Global Health Social Medicine and EpidemiologyBody sizenone;biological sciences; epidemiology; global health; medical research; none; nutrition; Adult; Global Health; Humans; Body Height; Neuroscience (all); Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all)epidemiology;Adult height//purl.org/pe-repo/ocde/ford#3.01.03 [https]Research Articletrendsglobal health;AdultSTATURESouth asia//purl.org/pe-repo/ocde/ford#1.06.03 [https]Stature TallPopulationGlobal healthJournal ArticleLife ScienceGeneral Immunology and Microbiologybiological science//purl.org/pe-repo/ocde/ford#3.01.04 [https]Quarter (United States coin)Body HeighttrenditBODY-MASS INDEXFolkhälsovetenskap global hälsa socialmedicin och epidemiologikorkeusEpidemiology and Global HealthCancer incidenceCANCER INCIDENCEWEIGHT
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Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331…

2015

Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA1c. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions.

Maleendocrine system diseasesEndocrinology Diabetes and Metabolismmedicine.medical_treatmentGlobal Health0302 clinical medicineEndocrinologyeducation.field_of_studyDiabetis//purl.org/pe-repo/ocde/ford#3.02.18 [https]Diabetes Mellitus/blood/diagnosis/epidemiologySciences bio-médicales et agricolesadultosensibilidad y especificidadhealth survey3. Good healthpriority journalCARDIOVASCULAR-DISEASEdiabetes mellitusmedicine.medical_specialtyglucosa sanguíneaSurvey samplingoral glucose tolerance test.Medical sciencesSensitivity and SpecificityArticleEndocrinology Diabetes and Metabolism; Internal Medicine; EndocrinologyEffects of diabetesHemoglobin A Glycosylated/metabolism03 medical and health sciencesfalse positive resultSDG 3 - Good Health and Well-beingDiabetes prevalenceDiabetes MellitusSYSTEMATIC ANALYSISHumanshumandiagnostic test accuracy studygross national productOLDER-ADULTSeducationprueba de tolerancia a la glucosaglycosylated hemoglobinHEMOGLOBIN A(1C) MEASUREMENTVLAGGlycated HemoglobinHemoglobin A GlycosylatedScience & TechnologyBlood Glucose/metabolismnutritional and metabolic diseasesGlucose Tolerance Testeconomic aspectmedicine.diseaseglucose blood levelGlucoseEndocrinologyagechemistryFaculdade de Ciências SociaisGlucosaGlobal surveillance of diabetesTOLERANCE TESTWORLDWIDE STANDARDIZATIONBiomarkersBiomedical sciencesBlood GlucoseSettore MED/09 - Medicina InternaNutrition and DiseasehumanosBiomarkers/metabolismInternal Medicine; Endocrinology Diabetes and Metabolism; Endocrinologygeographychemistry.chemical_compoundVoeding en ZiekteDiagnosisPrevalenceMedicine and Health Sciencesvigilancia centinela030212 general & internal medicinehemoglobin A1cUS POPULATIONDiabetes diagnosisGlucose tolerance testINSULIN-RESISTANCEmedicine.diagnostic_testResearch Support Non-U.S. Gov'tQDiabetesprevalenciaSCREENING-TESThealthArticlesGlucose bloodDiabetes and MetabolismincomePopulation-based health examination surveysFemaleLife Sciences & BiomedicineAdultPopulationpopulation groupCONSENSUS STATEMENT030209 endocrinology & metabolismGLYCATED HEMOGLOBINhigh income regionEndocrinology & MetabolismInsulin resistanceResearch Support N.I.H. ExtramuralbloodInternal medicineDiabetes mellitusparasitic diseasesJournal ArticlemedicineInternal MedicineLife Scienceddc:613business.industryInsulinbody massBiological markerFASTING PLASMA-GLUCOSECiencias socio biomédicasGlycated hemoglobinbusinessmetabolismSentinel Surveillance
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