0000000000895626

AUTHOR

Helmut Küchenhoff

showing 5 related works from this author

Additional file 3 of Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced…

2020

Additional file 3: Supplementary Figures.

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Additional file 2 of Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced…

2020

Additional file 2: Supplementary Note.

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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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A heuristic, iterative algorithm for change-point detection in abrupt change models

2017

Change-point detection in abrupt change models is a very challenging research topic in many fields of both methodological and applied Statistics. Due to strong irregularities, discontinuity and non-smootheness, likelihood based procedures are awkward; for instance, usual optimization methods do not work, and grid search algorithms represent the most used approach for estimation. In this paper a heuristic, iterative algorithm for approximate maximum likelihood estimation is introduced for change-point detection in piecewise constant regression models. The algorithm is based on iterative fitting of simple linear models, and appears to extend easily to more general frameworks, such as models i…

0301 basic medicineStatistics and ProbabilityMathematical optimizationIterative methodHeuristic (computer science)Linear model01 natural sciencesPiecewise constant model Approximate maximum likelihood Model linearization Grid search limitations010104 statistics & probability03 medical and health sciencesComputational MathematicsDiscontinuity (linguistics)030104 developmental biologyHyperparameter optimizationCovariatePiecewise0101 mathematicsStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaChange detectionMathematics
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Additional file 1 of Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced…

2020

Additional file 1: Supplementary Tables.

InformationSystems_INFORMATIONSTORAGEANDRETRIEVALComputingMethodologies_DOCUMENTANDTEXTPROCESSINGComputingMilieux_COMPUTERSANDEDUCATIONData_FILESComputerApplications_COMPUTERSINOTHERSYSTEMS
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