Evidence map›Paper›PMID 37536973›Full record

ArticleBMJ open2023

Study profile: the Genetics of Glaucoma Study.

Puya Gharahkhani, Weixiong He, Santiago Diaz Torres, Yeda Wu, Nathan Ingold, Regina Yu, Mathias Seviiri, Jue-Sheng Ong, Matthew H Law, Jamie E Craig and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Polygenic Risk Prediction for Normal-Tension Glaucoma.Investigative ophthalmology & visual science · 2025
    Article
  2. Article
  3. Article
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

13 authors at 6 institutions in 1 country.

Puya GharahkhaniStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia Puya.Gharahkhani@qimrberghofer.edu.au.ORCID 0000-0002-4203-5952
Weixiong HeStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Santiago Diaz TorresStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Yeda WuStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0000-0002-5977-1526
Nathan IngoldStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Regina YuStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Mathias SeviiriStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Jue-Sheng OngStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Matthew H LawStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Jamie E CraigDepartment of Ophthalmology, Flinders Medical Centre, Flinders University, Adelaide, South Australia, Australia.
David A MackeyCentre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Western Australia, Australia.
Alex W HewittMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Stuart MacGregorStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Queensland University of Technology · AUQIMR Berghofer Medical Research Institute · AUThe University of Queensland · AUFlinders University · AULions Eye Institute · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGlaucoma, a major cause of irreversible blindness, is a highly heritable human disease. Currently, the majority of the risk genes for glaucoma are unknown. We established the Genetics of Glaucoma Study (GOGS) to identify disease genes and improve genetic prediction of glaucoma risk and response to treatment.

participantsMore than 5700 participants with glaucoma or a family history of glaucoma were recruited through a media campaign and the Australian Government healthcare service provider, Services Australia, making GOGS one of the largest genetic studies of glaucoma globally. The mean age of the participants was 65.30±9.36 years, and 62% were female. Participants completed a questionnaire obtaining information about their glaucoma-related medical history such as family history, glaucoma status and subtypes, surgical procedures, and prescriptions. The questionnaire also obtained information about other eye and systemic diseases. Approximately 80% of the participants provided a DNA sample and ~70% consented to data linkage to their Australian Government Medicare and Pharmaceutical Benefits Scheme schedules. FINDINGS TO DATE: 4336 GOGS participants reported that an optometrist or ophthalmologist has diagnosed them with glaucoma and 3639 participants reported having a family history of glaucoma. The vast majority of the participants (N=4393) had used at least one glaucoma-related medication; latanoprost was the most commonly prescribed drug (54% of the participants who had a glaucoma prescription). A subset of the participants reported a surgical treatment for glaucoma including a laser surgery in 2008 participants and a non-laser operation in 803 participants. Several comorbid eye and systemic diseases were also observed; the most common reports were ocular hypertension (53% of the participants), cataract (48%), hypertension (40%), nearsightedness (31%), astigmatism (22%), farsightedness (16%), diabetes (12%), sleep apnoea (11%) and migraines (10%). FUTURE PLANS: GOGS will contribute to the global gene-mapping efforts as one of the largest genetic studies for glaucoma. We will also use GOGS to develop or validate genetic risk prediction models to stratify glaucoma risk, particularly in individuals with a family history of glaucoma, and to predict clinical outcomes (eg, which medication works better for an individual and whether glaucoma surgery is required). GOGS will also help us answer various research questions about genetic overlap and causal relationships between glaucoma and its comorbidities.

Indexed as

GlaucomaOcular HypertensionAgedAntihypertensive AgentsAustraliaFemaleHumansIntraocular PressureMaleMiddle AgedNational Health ProgramsAntihypertensive AgentsGENETICSGlaucomaOPHTHALMOLOGY

Identifiers

PMID37536973
PMCPMC10401214
OpenAlexW4385516650

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.