Evidence map›Paper›PMID 35718050›Full record

SynthesisOphthalmology2022

Glaucoma Genetic Risk Scores in the Million Veteran Program.

Andrea R Waksmunski, Tyler G Kinzy, Lauren A Cruz, Cari L Nealon, Christopher W Halladay, Piana Simpson, Rachael L Canania, Scott A Anthony, David P Roncone, Lea Sawicki Rogers and 10 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Review
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  7. Review
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

20 authors at 6 institutions in 1 country.

Andrea R WaksmunskiCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Tyler G KinzyCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio; Research Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio.
Lauren A CruzCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Cari L NealonEye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio.
Christopher W HalladayCenter of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island.
Piana SimpsonEye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio.
Rachael L CananiaEye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio.
Scott A AnthonyEye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio.
David P RonconeEye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio.
Lea Sawicki RogersOphthalmology Section, VA Western NY Healthcare System, Buffalo, New York.
Jenna N LeberOphthalmology Section, VA Western NY Healthcare System, Buffalo, New York.
Jacquelyn M DoughertyOphthalmology Section, VA Western NY Healthcare System, Buffalo, New York.
Paul B GreenbergOphthalmology Section, Providence VA Medical Center, Providence, Rhode Island; Division of Ophthalmology, Alpert Medical School, Brown University, Providence, Rhode Island.
Jack M SullivanOphthalmology Section, VA Western NY Healthcare System, Buffalo, New York; Research Service, VA Western NY Healthcare System, Buffalo, New York.
Wen-Chih WuCardiology Section, Medical Service, Providence VA Medical Center, Providence, Rhode Island.
Sudha K IyengarCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio; Research Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio.
Dana C CrawfordCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio; Research Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio.
Neal S PeacheyResearch Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio; Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, Ohio; Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio.
Jessica N Cooke BaileyCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio; Research Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio. Electronic address: JNC43@case.edu.
VA Million Veteran Program
VA Northeast Ohio Healthcare System · USVA Western New York Healthcare System · USProvidence VA Medical Center · USUniversity School · USBrown University · USCleveland Clinic · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
TISSUE CULTURE AND HYBRIDOMA MODULEP30EY011373 · NEI · CASE WESTERN RESERVE UNIVERSITY · PI Irina A Pikuleva · 1997 to 2026
$17.7M
RESOURCE/SERVICE CORE C - MOLECULAR INFORMATICS MODULEP30EY025585 · NEI · CLEVELAND CLINIC LERNER COM-CWRU · PI BELA ANAND-APTE · 2016 to 2026
$7.7M
BIOMETRIC-GENETIC ANALYSIS OF CARDIOVASCULAR DISEASET32HL007567 · NHLBI · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ZHU, XIAOFENG · 1985 to 2021
$6.0M
VISUAL SCIENCES TRAINING PROGRAMT32EY007157 · NEI · CASE WESTERN RESERVE UNIVERSITY · PI Johannes Friedrich von Lintig · 2000 to 2026
$5.5M
Prioritizing diversity in polygenic risk prediction of primary open-angle glaucomaR01EY033829 · NEI · EAST CAROLINA UNIVERSITY · PI Jessica N Cooke Bailey · 2022 to 2026
$3.6M
NRSA Training CoreTL1TR002549 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI HARDING, CLIFFORD V · 2018 to 2022
$2.9M
Deciphering Genetic and Environmental Influences on Visual Disorders in the Million Veteran ProgramI01BX004557 · VA · LOUIS STOKES CLEVELAND VA MEDICAL CENTER · PI PEACHEY, NEAL S. · 2019 to 2025
–
BLRD VA I01 BX004557BLRD VA IK6 BX005233NCATS NIH HHS TL1 TR002549NCATS NIH HHS UL1 TR002548NEI NIH HHS P30 EY011373NEI NIH HHS P30 EY025585NEI NIH HHS R01 EY033829NEI NIH HHS T32 EY007157NHLBI NIH HHS T32 HL007567
6 · The paper itself

Abstract

purposePrimary open-angle glaucoma (POAG) is a degenerative eye disease for which early treatment is critical to mitigate visual impairment and irreversible blindness. POAG-associated loci individually confer incremental risk. Genetic risk score(s) (GRS) could enable POAG risk stratification. Despite significantly higher POAG burden among individuals of African ancestry (AFR), GRS are limited in this population. A recent large-scale, multi-ancestry meta-analysis identified 127 POAG-associated loci and calculated cross-ancestry and ancestry-specific effect estimates, including in European ancestry (EUR) and AFR individuals. We assessed the utility of the 127-variant GRS for POAG risk stratification in EUR and AFR Veterans in the Million Veteran Program (MVP). We also explored the association between GRS and documented invasive glaucoma surgery (IGS).

designCross-sectional study.

participantsMVP Veterans with imputed genetic data, including 5830 POAG cases (445 with IGS documented in the electronic health record) and 64 476 controls.

methodsWe tested unweighted and weighted GRS of 127 published risk variants in EUR (3382 cases and 58 811 controls) and AFR (2448 cases and 5665 controls) Veterans in the MVP. Weighted GRS were calculated using effect estimates from the most recently published report of cross-ancestry and ancestry-specific meta-analyses. We also evaluated GRS in POAG cases with documented IGS.

main outcome measuresPerformance of 127-variant GRS in EUR and AFR Veterans for POAG risk stratification and association with documented IGS.

resultsGRS were significantly associated with POAG (P < 5 × 10

conclusionsVaried performance of the GRS for POAG risk stratification and documented IGS association in EUR and AFR Veterans highlights (1) the complex risk architecture of POAG, (2) the importance of diverse representation in genomics studies that inform GRS construction and evaluation, and (3) the necessity of expanding diverse POAG-related genomic data so that GRS can equitably aid in screening individuals at high risk of POAG and who may require more aggressive treatment.

Indexed as

Glaucoma, Open-AngleVeteransCase-Control StudiesCross-Sectional StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideRisk FactorsAncestral diversityGenetic risk scoreInvasive glaucoma surgeryMillion Veteran ProgramPrimary open-angle glaucoma

Identifiers

PMID35718050
PMCPMC9997524
OpenAlexW4283014965

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.