Evidence map›Paper›PMID 41894138›Full record

SynthesisOphthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)2026

Polygenic Risk Scores for Myopia: A Systematic Review of Predictive Performance and Clinical Potential.

Bin Mao, Xing-Xuan Dong, Dan-Lin Li, Qiao Fan, Chen-Wei Pan

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bin MaoSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Xing-Xuan DongSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Dan-Lin LiSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Qiao FanCenter for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Chen-Wei PanSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China. pcwonly@gmail.com.

Funding

National Key R&D Program of China 2024YFC2510800, 2024YFC2510801
6 · The paper itself

Abstract

purposeGiven the genetic predisposition to myopia, polygenic risk scores (PRS) have been proposed as a tool for early risk identification. This study assessed the discriminatory ability of PRS in myopia prediction systematically and compared the performance of different PRS models.

methodsThis systematic review followed PRISMA guidelines and was preregistered in PROSPERO (CRD420251180577). Five databases (PubMed, Web of Science, Cochrane Library, EMBASE and Scopus) were searched from inception to October 11, 2025. Eligible studies were required to develop or validate myopia prediction models that incorporated PRS and to report at least one discrimination metric. The methodological quality and risk of bias were assessed independently using the Prediction Model Risk of Bias Assessment Tool (PROBAST).

resultsTen studies met the inclusion criteria. The discriminatory performance of PRS-only models ranged from an area under the receiver operating characteristic curve (AUC) of 0.51-0.80, whereas combined models integrating PRS with clinical or other factors demonstrated a higher performance range (AUC 0.57-0.99). Predictive performance varied according to myopia phenotype, ancestry, and PRS construction strategy. Models tended to achieve stronger discrimination for high or moderate myopia compared with low myopia, and performed better in European populations than in other ancestry groups. Increasing the number of single-nucleotide polymorphisms included in the PRS yielded only modest incremental improvements in predictive accuracy. Across all comparisons, combined models consistently outperformed PRS-only models.

conclusionsPRS contributes to myopia risk prediction, particularly when integrated with clinical or other risk factors, and its predictive performance varies across myopia phenotype, ethnicity, age and the number of single-nucleotide polymorphisms. Further large-scale, multi-ancestry validation and evaluation of implementation feasibility are needed before PRS can be incorporated effectively into routine myopia prevention and risk stratification strategies.

Indexed as

Genetic Predisposition to DiseaseMyopiaGenetic Risk ScoreHumansRisk AssessmentRisk FactorsMyopiaPolygenic risk scorePredictive performanceSystematic review

Identifiers

PMID41894138

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.