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Sökning: WFRF:(Kim Yun Joong)

  • Resultat 1-4 av 4
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1.
  • Chung, Sun Ju, et al. (författare)
  • Alpha-Synuclein Repeat Variants and Survival in Parkinson's Disease
  • 2014
  • Ingår i: Movement Disorders. - : John Wiley and Sons. - 0885-3185. ; 29:8, s. 1053-1057
  • Tidskriftsartikel (refereegranskat)abstract
    • Objectives: To determine whether alpha-synuclein dinucleotide repeat (REP1) genotypes are associated with survival in Parkinson's disease (PD). Methods: Investigators from the Genetic Epidemiology of Parkinson's Disease Consortium provided REP1 genotypes and baseline and follow-up clinical data for cases. The primary outcome was time to death. Cox proportional hazards regression models were used to assess the association of REP1 genotypes with survival. Results: Twenty-one sites contributed data for 6,154 cases. There was no significant association between alpha-synuclein REP1 genotypes and survival in PD. However, there was a significant association between REP1 genotypes and age at onset of PD (hazard ratio: 1.06; 95% confidence interval: 1.01-1.10; P value = 0.01). Conclusions: In our large consortium study, alpha-synuclein REP1 genotypes were not associated with survival in PD. Further studies of alpha-synuclein's role in disease progression and long-term outcomes are needed. (C) 2014 International Parkinson and Movement Disorder Society
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2.
  • Heckman, Michael G., et al. (författare)
  • Population-specific Frequencies for LRRK2 Susceptibility Variants in the Genetic Epidemiology of Parkinson's Disease (GEO-PD) Consortium
  • 2013
  • Ingår i: Movement Disorders. - : John Wiley and Sons. - 0885-3185. ; 28:12, s. 1740-1744
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundVariants within the leucine-rich repeat kinase 2 gene are recognized as the most frequent genetic cause of Parkinson's disease. Leucine-rich repeat kinase 2 variation related to disease susceptibility displays many features that reflect the nature of complex, late-onset sporadic disorders like Parkinson's disease. MethodsThe Genetic Epidemiology of Parkinson's Disease Consortium recently performed the largest genetic association study for variants in the leucine-rich repeat kinase 2 gene across 23 different sites in 15 countries. ResultsHerein, we detail the allele frequencies for the novel risk factors (p.A419V and p.M1646T) and the protective haplotype (p.N551K-R1398H-K1423K) nominated in the original publication. Simple population allele frequencies not only can provide insight into the clinical relevance of specific variants but also can help genetically define patient groups. ConclusionsEstablishing individual patient-based genomic susceptibility profiles that incorporate both risk factors and protective factors will determine future diagnostic and treatment strategies. (c) 2013 International Parkinson and Movement Disorder Society
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3.
  • Ross, Owen A., et al. (författare)
  • Association of LRRK2 exonic variants with susceptibility to Parkinson's disease: a case-control study
  • 2011
  • Ingår i: Lancet Neurology. - : Lancet Ltd. - 1474-4465. ; 10:10, s. 898-908
  • Tidskriftsartikel (refereegranskat)abstract
    • Background The leucine-rich repeat kinase 2 gene (LRRK2) harbours highly penetrant mutations that are linked to familial parkinsonism. However, the extent of its polymorphic variability in relation to risk of Parkinson's disease (PD) has not been assessed systematically. We therefore assessed the frequency of LRRK2 exonic variants in individuals with and without PD, to investigate the role of the variants in PD susceptibility. Methods LRRK2 was genotyped in patients with PD and controls from three series (white, Asian, and Arab-Berber) from sites participating in the Genetic Epidemiology of Parkinson's Disease Consortium. Genotyping was done for exonic variants of LRRK2 that were identified through searches of literature and the personal communications of consortium members. Associations with PD were assessed by use of logistic regression models. For variants that had a minor allele frequency of 0.5% or greater, single variant associations were assessed, whereas for rarer variants information was collapsed across variants. Findings 121 exonic LRRK2 variants were assessed in 15 540 individuals: 6995 white patients with PD and 5595 controls, 1376 Asian patients and 962 controls, and 240 Arab-Berber patients and 372 controls. After exclusion of carriers of known pathogenic mutations, new independent risk associations were identified for polymorphic variants in white individuals (M1646T, odds ratio 1.43, 95% CI 1.15-1.78; p=0.0012) and Asian individuals (A419V, 2.27, 1.35-3.83; p=0.0011). A protective haplotype (N551K-R1398H-K1423K) was noted at a frequency greater than 5% in the white and Asian series, with a similar finding in the Arab-Berber series (combined odds ratio 0.82, 0.72-0.94; p=0.0043). Of the two previously reported Asian risk variants, G2385R was associated with disease (1.73, 1.20-2.49; p=0.0026), but no association was noted for R1628P (0.62, 0.36-1.07; p=0.087). In the Arab-Berber series, Y2189C showed potential evidence of risk association with PD (4.48, 133-15.09; p=0.012). Interpretation The results for LRRK2 show that several rare and common genetic variants in the same gene can have independent effects on disease risk. LRRK2, and the pathway in which it functions, is important in the cause and pathogenesis of PD in a greater proportion of patients with this disease than previously believed. These results will help discriminate those patients who will benefit most from therapies targeted at LRRK2 pathogenic activity. Funding Michael J Fox Foundation and National Institutes of Health.
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4.
  • Farooq, Sehar Shahzad, et al. (författare)
  • Multi-modality Based Affective Video Summarization for Game Players
  • 2021
  • Ingår i: Frontiers of Computer Vision. - : Springer. ; , s. 59-69
  • Konferensbidrag (refereegranskat)abstract
    • Games has been considered as a benchmark for practicing computational models to analyze players interest as well as its involvement in the game. Though several aspects of game related research are carried out in different fields of research including development of game contents, avatar’s control in games, artificial intelligent competitions, analysis of games using professional gamer’s feedback, and advancements in different traditional and deep learning based computational models. However, affective video summarization of gamer’s behavior and experience are also important to develop innovative features, in-game attractions, synthesizing experience and player’s engagement in the game. Since it is difficult to review huge number of videos of experienced players for the affective analysis, this study is designed to generate video summarization for game players using multi-modal data analysis. Bedside’s physiological and peripheral data analysis, summary of recorded videos of gamers is also generated using attention model-based framework. The analysis of the results has shown effective performance of proposed method. 
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