Evidence map›Paper›PMID 34077762›Full record

ArticleAmerican journal of human genetics2021

Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA.

Xikun Han, Kaiah Steven, Ayub Qassim, Henry N Marshall, Cameron Bean, Michael Tremeer, Jiyuan An, Owen M Siggs, Puya Gharahkhani, Jamie E Craig and 3 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Genetic discovery using deep learning-derived optic nerve integrity phenotypes.medRxiv : the preprint server for health sciences · 2026
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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.

Xikun HanStatistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Herston, QLD 4006, Australia; School of Medicine, University of Queensland, Brisbane, Herston, QLD 4006, Australia. Electronic address: xikun.han@qimrberghofer.edu.au.
Kaiah StevenMax Kelsen, Brisbane, Spring Hill, QLD 4000, Australia.
Ayub QassimDepartment of Ophthalmology, Flinders University, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
Henry N MarshallDepartment of Ophthalmology, Flinders University, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
Cameron BeanMax Kelsen, Brisbane, Spring Hill, QLD 4000, Australia.
Michael TremeerMax Kelsen, Brisbane, Spring Hill, QLD 4000, Australia.
Jiyuan AnQueensland University of Technology, Brisbane, Brisbane City, QLD 4000, Australia.
Owen M SiggsDepartment of Ophthalmology, Flinders University, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
Puya GharahkhaniStatistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Herston, QLD 4006, Australia.
Jamie E CraigDepartment of Ophthalmology, Flinders University, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
Alex W HewittMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; Centre for Eye Research Australia, University of Melbourne, East Melbourne, VIC 3002, Australia.
Maciej TrzaskowskiMax Kelsen, Brisbane, Spring Hill, QLD 4000, Australia.
Stuart MacGregorStatistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Herston, QLD 4006, Australia.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Cupping of the optic nerve head, a highly heritable trait, is a hallmark of glaucomatous optic neuropathy. Two key parameters are vertical cup-to-disc ratio (VCDR) and vertical disc diameter (VDD). However, manual assessment often suffers from poor accuracy and is time intensive. Here, we show convolutional neural network models can accurately estimate VCDR and VDD for 282,100 images from both UK Biobank and an independent study (Canadian Longitudinal Study on Aging), enabling cross-ancestry epidemiological studies and new genetic discovery for these optic nerve head parameters. Using the AI approach, we perform a systematic comparison of the distribution of VCDR and VDD and compare these with intraocular pressure and glaucoma diagnoses across various genetically determined ancestries, which provides an explanation for the high rates of normal tension glaucoma in East Asia. We then used the large number of AI gradings to conduct a more powerful genome-wide association study (GWAS) of optic nerve head parameters. Using the AI-based gradings increased estimates of heritability by ∼50% for VCDR and VDD. Our GWAS identified more than 200 loci associated with both VCDR and VDD (double the number of loci from previous studies) and uncovered dozens of biological pathways; many of the loci we discovered also confer risk for glaucoma.

Indexed as

Artificial IntelligenceAdultAgedAlgorithmsFemaleGenome-Wide Association StudyGlaucomaHumansImage Processing, Computer-AssistedInheritance PatternsIntraocular PressureMaleMiddle AgedNerve NetOptic DiskPhotographyartificial intelligenceCLSAglaucomaGWASimageoptic nerve headUK Biobank

Identifiers

PMID34077762
PMCPMC8322932

What OpenQuestion holds

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Registered trials

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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.