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Robyn H. Guymer

Researcher at University of Melbourne

Publications -  441
Citations -  18296

Robyn H. Guymer is an academic researcher from University of Melbourne. The author has contributed to research in topics: Macular degeneration & Drusen. The author has an hindex of 64, co-authored 400 publications receiving 14827 citations. Previous affiliations of Robyn H. Guymer include Walter and Eliza Hall Institute of Medical Research & St. Vincent's Health System.

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A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants

Lars G. Fritsche, +185 more
- 01 Feb 2016 - 
TL;DR: The results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.
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Seven new loci associated with age-related macular degeneration

Lars G. Fritsche, +185 more
- 01 Apr 2013 - 
TL;DR: A collaborative genome-wide association study, including >17,100 advanced AMD cases and >60,000 controls of European and Asian ancestry, identifies 19 loci associated at P < 5 × 10−8, which show enrichment for genes involved in the regulation of complement activity, lipid metabolism, extracellular matrix remodeling and angiogenesis.
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A single EFEMP1 mutation associated with both Malattia Leventinese and Doyne honeycomb retinal dystrophy.

TL;DR: A combination of positional and candidate gene methods are used to identify a single non-conservative mutation in the gene EFEMP1 (for EGF-containing fibrillin-like extracellular matrix protein 1) in all families studied, which may aid in the development of an animal model for drusen, as well as in the identification of other genes involved in human macular degeneration.
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Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search.

TL;DR: A novel framework combining convolutional neural networks (CNN) and graph search methods (termed as CNN-GS) for the automatic segmentation of nine layer boundaries on retinal optical coherence tomography (OCT) images is presented.