Evidence map›Paper›PMID 39128550›Full record

ArticleOphthalmology2025

The Clinical Usefulness of a Glaucoma Polygenic Risk Score in 4 Population-Based European Ancestry Cohorts.

Victor A de Vries, Akiko Hanyuda, Joëlle E Vergroesen, Ron Do, David S Friedman, Peter Kraft, Constance Turman, Yuyang Leo Luo, Jessica H Tran, Bart Liefers and 9 more

Erratum issuedAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Polygenic Risk Prediction for Normal-Tension Glaucoma.Investigative ophthalmology & visual science · 2025
    Article
  11. The Effect of Carotid Atherosclerosis on the Risk for Open-Angle Glaucoma.Investigative ophthalmology & visual science · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Victor A de VriesDepartment of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Akiko HanyudaDepartment of Ophthalmology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Joëlle E VergroesenDepartment of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Ron DoDepartment of Genetics and Genomics Science, Icahn School of Medicine at Mount Sinai, New York, New York.
David S FriedmanDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Peter KraftNational Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Constance TurmanDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
Yuyang Leo LuoDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Jessica H TranDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York.
Bart LiefersDepartment of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Sze H WongDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York.
Rachel H LeeDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York.
Nazlee ZebardastDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Caroline C W KlaverDepartment of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands; Institute of Molecular and Clinical Ophthalmology, University of Basel, Basel, Switzerland.
Ayellet V SegrèDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Louis R PasqualeDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York.
Janey L WiggsDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Jae H KangChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Wishal D RamdasDepartment of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands. Electronic address: w.ramdas@erasmusmc.nl.

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
P30 Core Grant for Vision ResearchP30EY014104 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Ayellet Vered Segre · 2002 to 2026
$15.1M
Uncovering novel biological processes and pathogenic mechanisms for glaucomaR01EY031424 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Ayellet Vered Segre · 2020 to 2026
$4.5M
Understanding the clinical impact of cumulative genetic risk to glaucomaR01EY032559 · NEI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Louis Robert Pasquale, Janey L Wiggs · 2021 to 2026
$4.3M
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic AssociationsK23EY032634 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI ZEBARDAST, NAZLEE · 2021 to 2024
$1.0M
NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NEI NIH HHS K23 EY032634NEI NIH HHS P30 EY014104NEI NIH HHS R01 EY031424NEI NIH HHS R01 EY032559
6 · The paper itself

Abstract

purposeWe used a polygenic risk score (PRS) to identify high-risk groups for primary open-angle glaucoma (POAG) within population-based cohorts.

designSecondary analysis of 4 prospective population-based studies.

participantsWe included four European-ancestry cohorts: the United States-based Nurses' Health Study, Nurses' Health Study 2, and the Health Professionals Follow-up Study and the Rotterdam Study (RS) in The Netherlands. The United States cohorts included female nurses and male health professionals ≤ 55 years of age. The RS included residents ≤ 45 years of age living in Rotterdam, The Netherlands.

methodsPolygenic risk score weights were estimated by applying the lassosum method on imputed genotype and phenotype data from the UK Biobank. This resulted in 144 020 variants, single nucleotide polymorphism and insertions or deletions, with nonzero βs that we used to calculate a PRS in the target populations. Using multivariable Cox proportional hazard models, we estimated the relationship between the standardized PRS and relative risk for POAG. Additionally, POAG prediction was tested by calculating these models' concordance (Harrell's C statistic). Finally, we assessed the association between PRS tertiles and glaucoma-related traits.

main outcome measuresThe relative risk for POAG and Harrell's C statistic.

resultsAmong 1046 patients and 38 809‬ control participants, the relative risk (95% confidence interval) for POAG for participants in the highest PRS quintile was 3.99 (3.08-5.18) times higher in the United States cohorts and 4.89 (2.93-8.17) times higher in the RS, compared with participants with median genetic risk (third quintile). Combining age, sex, intraocular pressure of more than 25 mmHg, and family history resulted in a meta-analyzed concordance of 0.75 (95% CI, 0.73-0.75). Adding the PRS to this model improved the concordance to 0.82 (95% CI, 0.80-0.84). In a meta-analysis of all cohorts, patients in the highest tertile showed a larger cup-to-disc ratio at diagnosis, by 0.10 (95% CI, 0.06-0.14), and a 2.07-fold increased risk of requiring glaucoma surgery (95% CI, 1.19-3.60).

conclusionsIncorporating a PRS into a POAG predictive model improves identification concordance from 0.75 up to 0.82, supporting its potential for guiding more cost-effective screening strategies. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Genetic Predisposition to DiseaseGlaucoma, Open-AngleMultifactorial InheritancePolymorphism, Single NucleotideWhite PeopleAdultAgedFemaleFollow-Up StudiesGenetic Risk ScoreGenotypeHumansIntraocular PressureMaleMiddle AgedNetherlandsGenetic correlationGenetic risk scoreIntraocular pressureLinkage disequilibrium score regressionOpen-angle glaucoma

Identifiers

PMID39128550
PMCPMC12204775

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