Georgios Koliopanos

ORCID: 0000-0003-0667-6178
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About
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Research Areas
  • Genetic Associations and Epidemiology
  • Genomics and Rare Diseases
  • Genetic Syndromes and Imprinting
  • Metabolism and Genetic Disorders
  • Epigenetics and DNA Methylation
  • Data Analysis with R
  • Ubiquitin and proteasome pathways
  • Dementia and Cognitive Impairment Research
  • Neurobiology of Language and Bilingualism
  • Global Health Care Issues
  • Cardiac Imaging and Diagnostics
  • Health Systems, Economic Evaluations, Quality of Life
  • Acute Myocardial Infarction Research
  • Connective tissue disorders research
  • Aging and Gerontology Research
  • Health disparities and outcomes
  • Coronary Interventions and Diagnostics
  • Statistical Methods and Bayesian Inference
  • Statistical Methods in Clinical Trials

Hochgebirgsklinik Davos
2024

SIB Swiss Institute of Bioinformatics
2024

Harokopio University of Athens
2021

Abstract Background In suspected myocardial infarction (MI), guidelines recommend using high-sensitivity cardiac troponin (hs-cTn)-based approaches. These require fixed assay-specific thresholds and timepoints, without directly integrating clinical information. Using machine-learning techniques including hs-cTn routine variables, we aimed to build a digital tool estimate the individual probability of MI, allowing for numerous assays. Methods 2,575 patients presenting emergency department...

10.1007/s00392-023-02206-3 article EN cc-by Clinical Research in Cardiology 2023-05-02

Data protection policies might prohibit the transfer of existing study data to interested research groups. To overcome legal restrictions, simulated can be transferred that mimic structure but are different from data.The aim this work is introduce simple-to-use R package Mock Generation (modgo) may used for simulating continuous, ordinal categorical, and dichotomous variables.The core combine rank inverse normal transformation with calculation a correlation matrix all variables. then...

10.1055/a-2048-7692 article EN cc-by-nc-nd Methods of Information in Medicine 2023-03-07

Prevalence of dementia and cognitive impairment increase creating the need for identifying modifiable risk factors to reduce their burden. The aim this study was identify latent groups following similar trajectories in performance assessed with verbal fluency test, as well determinants. Data from English Longitudinal Study Aging (ELSA) were studied. Latent course through a 6-year period outcome variable (verbal fluency) investigated, along determinants, using Group Based Trajectory Modeling...

10.1080/23279095.2021.1913739 article EN Applied Neuropsychology Adult 2021-05-08

Abstract Lipoprotein (a) [LP(a)] is a risk factor for cardiovascular diseases and mainly regulated by the complex LPA gene. We investigated types of variation in gene their predictive performance on LP(a) concentration. determined Kringle IV-type 2 (KIV-2) copy number (CN) using DRAGEN Caller (DLC) read-depth based CN estimator 8351 whole genome sequencing samples from GENESIS-HD study. The pentanucleotide repeat promoter region was genotyped with GangSTR ExpansionHunter. concentration...

10.1101/2024.03.21.24304527 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2024-03-22

Lipoprotein (a) (Lp(a)) is a risk factor for cardiovascular diseases and mainly regulated by the complex LPA gene. We investigated types of variation in gene their predictive performance on Lp(a) concentration. determined Kringle IV-type 2 (KIV-2) copy number (CN) using DRAGEN Caller (DLC) read depth-based CN estimator 8351 short-read whole genome sequencing samples from GENESIS-HD study. The pentanucleotide repeat promoter region was genotyped with GangSTR ExpansionHunter. concentration...

10.3390/biomed4020013 article EN cc-by BioMed 2024-06-04

The aim of this study was to identify latent groups similar trajectories in processing speed through aging, as well factors that are associated with these trajectories. In the context Ageing Trajectories Health: Longitudinal Opportunities and Synergies (ATHLOS) project, data from English Study Aging (ELSA) (n = 12099) were analyzed. Latent scores their predictors covariates investigated, using group-based trajectory models (GBTM). coefficient estimates for potential group correspond...

10.3390/life11040357 article EN cc-by Life 2021-04-18
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