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The potential of current polygenic risk scores to predict high myopia and myopic macular degeneration in multi-ethnic Singapore adults

dc.contributor.authorKassam, Irfahan
dc.contributor.authorFoo, Li-Lian
dc.contributor.authorLança, Carla
dc.contributor.authorXu, Ling Qian
dc.contributor.authorHoang, Quan V.
dc.contributor.authorCheng, Ching-Yu
dc.contributor.authorHysi, Pirro
dc.contributor.authorSaw, Seang-Mei
dc.date.accessioned2022-03-29T16:01:00Z
dc.date.available2022-03-29T16:01:00Z
dc.date.issued2022-03
dc.description.abstractPurpose: To evaluate the trans-ancestry portability of current myopia polygenic risk scores (PRS) to predict high myopia (HM) and myopic macular degeneration (MMD) in an Asian population. Design: Population-based study. Subjects: A total of 5,894 (2,141 Chinese, 1,913 Indians, and 1,840 Malays) adults from the Singapore Epidemiology of Eye Diseases (SEED) study were included in the analysis. The mean age was 57.0 (standard deviation, SD = 9.31) years. A total of 361 adults had HM (spherical equivalent, SE <-5.00D) from refraction measurements, 240 individuals were diagnosed with MMD graded by the Meta-PM criteria from fundus photographs, and 3,774 individuals were controls without myopia (SE >-0.5D). Methods: The PRS, derived from 687,289 HapMap3 SNPs from the largest genome-wide association study of myopia in Europeans to date (n = 260,974), was assessed on its ability to predict HM and MMD versus controls. Main outcome measures: The primary outcomes were the area under the receiver operating characteristic curve (AUROC) to predict HM and MMD. Results: The PRS had an AUROC of 0.73 (95% CI: 0.70, 0.75) for HM and 0.66 (95% CI: 0.63, 0.70) for MMD versus no myopia controls. The inclusion of the PRS with other predictors (age, sex, educational attainment (EA), and ancestry; age-by-ancestry; sex-by-ancestry and EA-by-ancestry interactions; and 20 genotypic principal components) increased the AUROC to 0.84 (95% CI: 0.82, 0.86) for HM and 0.79 (95% CI: 0.76, 0.82) for MMD. Individuals with a PRS in the top 5% had 4.66 (95% CI: 3.34, 6.42) times higher risk for HM and 3.43 (95% CI: 2.27, 5.05) times higher risk for MMD compared to the remaining 95% of individuals. Conclusion: The PRS is a good predictor for HM and will facilitate the identification of high-risk children to prevent myopia progression to HM. In addition, the PRS also predicts MMD and will help to identify high-risk myopic adults who require closer monitoring for myopia-related complications.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationKassam I, Foo LL, Lança C, Xu LQ, Hoang QV, Cheng CY, et al. The potential of current polygenic risk scores to predict high myopia and myopic macular degeneration in multi-ethnic Singapore adults. Ophthalmology. 2022;129(8):890-902.pt_PT
dc.identifier.doi10.1016/j.ophtha.2022.03.022pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/14537
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0161642022002354pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectOphthalmologypt_PT
dc.subjectHigh myopiapt_PT
dc.subjectMyopic macular degenerationpt_PT
dc.subjectPolygenic risk scorept_PT
dc.subjectPredictionpt_PT
dc.subjectMulti-ethnicpt_PT
dc.subjectSingaporept_PT
dc.titleThe potential of current polygenic risk scores to predict high myopia and myopic macular degeneration in multi-ethnic Singapore adultspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage902pt_PT
oaire.citation.issue8pt_PT
oaire.citation.startPage890pt_PT
oaire.citation.titleOphthalmologypt_PT
oaire.citation.volume129pt_PT
person.familyNameLança
person.givenNameCarla
person.identifier.ciencia-id601A-6412-BF2F
person.identifier.orcid0000-0001-9918-787X
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0320b455-ee19-4670-8bf2-10dce9de1bec
relation.isAuthorOfPublication.latestForDiscovery0320b455-ee19-4670-8bf2-10dce9de1bec

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