Evidence map›Paper›PMID 37131961›Full record

ArticleOphthalmology science2023

Genome-wide Association Studies of Retinal Vessel Tortuosity Identify Numerous Novel Loci Revealing Genes and Pathways Associated With Ocular and Cardiometabolic Diseases.

Mattia Tomasoni, Michael Johannes Beyeler, Sofia Ortin Vela, Ninon Mounier, Eleonora Porcu, Tanguy Corre, Daniel Krefl, Alexander Luke Button, Hana Abouzeid, Konstantinidis Lazaros and 4 more

Open access · goldAbstract read
In one paragraph

Article in Ophthalmology science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
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  16. Retinal vascular dysfunction in the MthfrAlzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    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 at 4 institutions in 3 countries.

Mattia TomasoniDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Michael Johannes BeyelerDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Sofia Ortin VelaDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Ninon MounierSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Eleonora PorcuSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Tanguy CorreDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Daniel KreflDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Alexander Luke ButtonDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Hana AbouzeidDivision of Ophthalmology, Geneva University Hospitals, Geneva, Switzerland.
Konstantinidis LazarosJules-Gonin Eye Hospital, Lausanne, Switzerland.
Murielle BochudCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Reinier SchlingemannJules-Gonin Eye Hospital, Lausanne, Switzerland.
Ciara BerginJules-Gonin Eye Hospital, Lausanne, Switzerland.
Sven BergmannDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
SIB Swiss Institute of Bioinformatics · CHHôpital Ophtalmique Jules-Gonin · CHCentre universitaire de médecine générale et santé publique, Lausanne · CHUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To identify novel susceptibility loci for retinal vascular tortuosity, to better understand the molecular mechanisms modulating this trait, and reveal causal relationships with diseases and their risk factors. Design: Genome-wide Association Studies (GWAS) of vascular tortuosity of retinal arteries and veins followed by replication meta-analysis and Mendelian randomization (MR). Participants: We analyzed 116 639 fundus images of suitable quality from 63 662 participants from 3 cohorts, namely the UK Biobank (n = 62 751), the Methods: Using a fully automated retina image processing pipeline to annotate vessels and a deep learning algorithm to determine the vessel type, we computed the median arterial, venous and combined vessel tortuosity measured by the Main Outcome Measure: We evaluated the genetic association of retinal tortuosity, measured by the distance factor. Results: Higher retinal tortuosity was significantly associated with higher incidence of angina, myocardial infarction, stroke, deep vein thrombosis, and hypertension. We identified 175 significantly associated genetic loci in the UK Biobank; 173 of these were novel and 4 replicated in our second, much smaller, metacohort. We estimated heritability at ∼25% using linkage disequilibrium score regression. Vessel type specific GWAS revealed 116 loci for arteries and 63 for veins. Genes with significant association signals included Conclusions: Several alleles associated with retinal vessel tortuosity suggest a common genetic architecture of this trait with ocular diseases (glaucoma, myopia), cardiovascular diseases, and metabolic syndrome. Our results shed new light on the genetics of vascular diseases and their pathomechanisms and highlight how GWASs and heritability can be used to improve phenotype extraction from high-dimensional data, such as images. Financial Disclosures: The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Indexed as

GWASMendelian randomizationMicrovasculatureRetinaTortuosity

Identifiers

PMID37131961
PMCPMC10149284
OpenAlexW4321033929

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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.