Evidence map›Paper›PMID 36757925›Full record

ArticlePLoS genetics2023

GWAS on retinal vasculometry phenotypes.

Xiaofan Jiang, Pirro G Hysi, Anthony P Khawaja, Omar A Mahroo, Zihe Xu, Christopher J Hammond, Paul J Foster, Roshan A Welikala, Sarah A Barman, Peter H Whincup and 4 more

Abstract read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Article
  3. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
    Review
  4. Article
  5. Article
  6. Neuroprotection in Diabetes Retinal Disease: An Unmet Medical Need.International journal of molecular sciences · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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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

14 authors.

Xiaofan JiangUCL Institute of Ophthalmology, London, United Kingdom.
Pirro G HysiUCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.
Anthony P KhawajaNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
Omar A MahrooUCL Institute of Ophthalmology, London, United Kingdom.
Zihe XuSection of Ophthalmology, School of Life Course Sciences, King's College London, London, United Kingdom.
Christopher J HammondDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
Paul J FosterNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
Roshan A WelikalaFaculty of Science, Engineering and Computing, Kingston University, Penrhyn Road, Kingston upon Thames, Surrey, United Kingdom.
Sarah A BarmanFaculty of Science, Engineering and Computing, Kingston University, Penrhyn Road, Kingston upon Thames, Surrey, United Kingdom.
Peter H WhincupPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Alicja R RudnickaPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Christopher G OwenPopulation Health Research Institute, St George's, University of London, London, United Kingdom.ORCID 0000-0003-1135-5977
David P StrachanPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
UK Biobank Eye and Vision Consortium

Funding

British Heart Foundation PG/15/101/31889Cancer Research UK 14136Cancer Research UK C864/A14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_PC_13048Medical Research Council MC-UU_12015/1Medical Research Council MR/L02005X/1Medical Research Council MR/N003284/1Medical Research Council MR/T040912/1Wellcome TrustWellcome Trust 206619/Z/17/Z
6 · The paper itself

Abstract

The eye is the window through which light is transmitted and visual sensory signalling originates. It is also a window through which elements of the cardiovascular and nervous systems can be directly inspected, using ophthalmoscopy or retinal imaging. Measurements of ocular parameters may therefore offer important information on the physiology and homeostasis of these two important systems. Here we report the results of a genetic characterisation of retinal vasculature. Four genome-wide association studies performed on different aspects of retinal vasculometry phenotypes, such as arteriolar and venular tortuosity and width, found significant similarities between retinal vascular characteristics and cardiometabolic health. Our analyses identified 119 different regions of association with traits of retinal vasculature, including 89 loci associated arteriolar tortuosity, the strongest of which was rs35131825 (p = 2.00×10-108), 2 loci with arteriolar width (rs12969347, p = 3.30×10-09 and rs5442, p = 1.9E-15), 17 other loci associated with venular tortuosity and 11 novel associations with venular width. Our causal inference analyses also found that factors linked to arteriolar tortuosity cause elevated diastolic blood pressure and not vice versa.

Indexed as

Genome-Wide Association StudyRetinal VesselsPhenotypeRetinaRisk Factors

Identifiers

PMID36757925
PMCPMC9910644

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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.