2021
DOI: 10.1016/j.ophtha.2020.08.031
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Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning

Abstract: HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des labor… Show more

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Cited by 45 publications
(31 citation statements)
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“…60 More broadly, a recent machine learning-derived model inclusive of PRS, age, diet, smoking, education, and ocular measurements was found to be highly predictive of incident advanced AMD at 5, 10, and 15 years follow-up (AUC, 0.92; 95% CI, 0.90-0.95 at 10 years). 64 As observed in POAG and many other conditions, the inclusion of additional AMD risk variants in a PRS improves its predictive performance. Ding et al 57 used a PRS comprising 34 AMD-associated SNPs to stratify the risk of progression to late AMD over up to 10.3 (SD 1.7) years.…”
Section: Age-related Macular Degenerationmentioning
confidence: 98%
See 1 more Smart Citation
“…60 More broadly, a recent machine learning-derived model inclusive of PRS, age, diet, smoking, education, and ocular measurements was found to be highly predictive of incident advanced AMD at 5, 10, and 15 years follow-up (AUC, 0.92; 95% CI, 0.90-0.95 at 10 years). 64 As observed in POAG and many other conditions, the inclusion of additional AMD risk variants in a PRS improves its predictive performance. Ding et al 57 used a PRS comprising 34 AMD-associated SNPs to stratify the risk of progression to late AMD over up to 10.3 (SD 1.7) years.…”
Section: Age-related Macular Degenerationmentioning
confidence: 98%
“… 60 More broadly, a recent machine learning–derived model inclusive of PRS, age, diet, smoking, education, and ocular measurements was found to be highly predictive of incident advanced AMD at 5, 10, and 15 years follow-up (AUC, 0.92; 95% CI, 0.90–0.95 at 10 years). 64 …”
Section: Clinical Utility Of the Prs In Ophthalmologymentioning
confidence: 99%
“…This is, at least in part, due to the fact that AMD is not entirely a genetic disease and indeed, epidemiology studies pinpoint other environmental and lifestyle factors that define the individual risk for disease. In the recent years, a plethora of additional, but just as important, risk factors have been identified, including physiological changes that occur with age and lifestyle, such as smoking and nutrition, which can alter retinal health [3,4]. At the genetic level, beside inflammation associated with gene variants mapping into the complement pathway, turnover of extracellular matrix (ECM) components and lipid handling are all likely to be important in AMD pathogenesis.…”
mentioning
confidence: 99%
“… 3 5 6 Factors including diet and lifestyle have also been investigated. 20 Iron is important for metabolism and phototransduction of the retina. 21 RPE-65, an iron-containing protein expressed in the retinal pigment epithelium, is an enzyme required to catalyse the conversion of all-trans-retinyl ester to 11-cis-retinol, which is an essential step in the visual cycle.…”
Section: Discussionmentioning
confidence: 99%