Search results for " UK Biobank"

showing 3 items of 3 documents

Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease

2020

Abstract Background Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD. Methods To identify genetic factors for early AMD, we conducted a genome-wide association study (GWAS) meta-analysis (14,034 cases, 91,214 controls, 11 sources of data including the International AMD Genomics Consortium, IAMDGC, and UK Biobank, UKBB). We ascertained early AMD via color fundus photographs by manual grading for 10 sources and via an automated machine learning approach for > 170,000 photographs from UKBB. We searched for early AMD loc…

0301 basic medicinegenetic structures610 MedizinGenome-wide association studyMacular Degeneration0302 clinical medicineAdvanced diseaseCD46Genetics (clinical)GeneticsInternational AMD genomics consortium (IAMDGC)ddc:6100303 health sciencesGenome-wide association study (GWAS)3. Good health030220 oncology & carcinogenesisAge-related macular degeneration (AMD)Meta-analysisResearch ArticleGenetic Markerslcsh:Internal medicineUK biobank (UKBB)lcsh:QH426-470Locus (genetics)GenomicsComputational biologyBiologyPolymorphism Single NucleotideGenome-wide association study (GWAS) Meta-analysis Age-related macular degeneration (AMD) Early AMD CD46 TYR International AMD genomics consortium (IAMDGC) UK biobank (UKBB) Machine-learning Automated phenotyping03 medical and health sciencesEarly AMDGeneticsmedicineHumansGenetic Predisposition to DiseaseGenome-wide Association Study (gwas) ; Meta-analysis ; Age-related Macular Degeneration (amd) ; Early Amd ; Cd46 ; Tyr ; International Amd Genomics Consortium (iamdgc) ; Uk Biobank (ukbb) ; Machine-learning ; Automated Phenotypinglcsh:RC31-1245Machine-learning030304 developmental biologyTYRCD46Macular degenerationmedicine.diseaseHuman geneticseye diseasesGenetic architectureMeta-analysislcsh:Genetics030104 developmental biologyGenetic LociCase-Control StudiesAutomated phenotypingHTRA1030221 ophthalmology & optometrysense organsGenome-Wide Association Study
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Neurological diseases and COVID-19: prospective analyses using the UK Biobank

2021

COVID-19 (Coronavirus disease-19) may present with neurological signs, but whether people already affected by neurological conditions are at a higher risk of contracting COVID-19 is still not known. We, therefore, aimed to investigate the association of previously diagnosed neurological conditions with COVID-19. 502,536 community-dwelling UK Biobank participants (54.4% male, mean age 56.6 ± 10.3 years) were included. Among these, 57,463 participants had a diagnosis of neurological conditions (11.43%) and a total of 1326 COVID-19-positive cases were identified (0.26%). Neurological conditions were identified through medical history and linkage to data on hospital admissions (ICD-10 code G00–…

AdultMalemedicine.medical_specialtyUK BiobankNeurologyMovement disordersPopulationLogistic regressionCOVID-19 · Neurological conditions · UK Biobank.Cerebral palsy03 medical and health sciences0302 clinical medicineInternal medicineMedicineHumansMedical history030212 general & internal medicineProspective StudiesProspective cohort studyeducationAgedBiological Specimen Bankseducation.field_of_studybusiness.industryCOVID-19General MedicineOdds ratioMiddle Agedmedicine.diseaseUnited KingdomNeurological conditionsOriginal ArticleFemaleNeurology (clinical)medicine.symptomNervous System Diseasesbusiness030217 neurology & neurosurgery
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Association Between Pollution and Frailty in Older People: A Cross-Sectional Analysis of the UK Biobank

2023

Objectives: Frailty is a relevant issue in older people, being associated with several negative outcomes. Increasing literature is reporting that pollution (particularly air pollution) can increase the risk of frailty, but the research is still limited. We aimed to investigate the potential association of pollution (air, noise) with frailty and prefrailty among participants 60 years and older of the UK Biobank study. Design: Cross-sectional. Settings and participants: Older participants (age ≥ 60 years) participating to the UK Biobank. Methods: Frailty and prefrailty presence were ascertained using a model including 5 indicators (weakness, slowness, weight loss, low physical activity, and e…

Health PolicyGeneral MedicinePollution UK Biobank epidemiology frailtyGeriatrics and GerontologyGeneral NursingJournal of the American Medical Directors Association
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