Evidence map›Paper›PMID 36705323›Full record

ArticleeLife2023

Phenome-wide Mendelian randomisation analysis identifies causal factors for age-related macular degeneration.

Thomas H Julian, Johnathan Cooper-Knock, Stuart MacGregor, Hui Guo, Tariq Aslam, Eleanor Sanderson, Graeme C M Black, Panagiotis I Sergouniotis

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
12.8field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 41 citations in OpenAlex.

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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

8 authors at 6 institutions in 2 countries.

Thomas H JulianDivision of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-5488-5620
Johnathan Cooper-KnockDepartment of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom.
Stuart MacGregorStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Hui GuoCentre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
Tariq AslamManchester Royal Eye Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Eleanor SandersonMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Graeme C M BlackDivision of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.
Panagiotis I SergouniotisDivision of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-0986-4123
European Bioinformatics Institute · GBManchester Academic Health Science Centre · GBQIMR Berghofer Medical Research Institute · AUUniversity of Bristol · GBUniversity of Manchester · GBUniversity of Sheffield · GB

Funding

Department of Health Academic Clinical Fellow and Clinical Lecturer ProgrammesWellcome TrustWellcome Trust 200990/Z/16/ZWellcome Trust 204796/Z/16/ZWellcome Trust 216596/Z/19/ZWellcome Trust 224643/Z/21/Z
6 · The paper itself

Abstract

Background: Age-related macular degeneration (AMD) is a leading cause of blindness in the industrialised world and is projected to affect >280 million people worldwide by 2040. Aiming to identify causal factors and potential therapeutic targets for this common condition, we designed and undertook a phenome-wide Mendelian randomisation (MR) study. Methods: We evaluated the effect of 4591 exposure traits on early AMD using univariable MR. Statistically significant results were explored further using: validation in an advanced AMD cohort; MR Bayesian model averaging (MR-BMA); and multivariable MR. Results: Overall, 44 traits were found to be putatively causal for early AMD in univariable analysis. Serum proteins that were found to have significant relationships with AMD included S100-A5 (odds ratio [OR] = 1.07, p-value = 6.80E-06), cathepsin F (OR = 1.10, p-value = 7.16E-05), and serine palmitoyltransferase 2 (OR = 0.86, p-value = 1.00E-03). Univariable MR analysis also supported roles for complement and immune cell traits. Although numerous lipid traits were found to be significantly related to AMD, MR-BMA suggested a driving causal role for serum sphingomyelin (marginal inclusion probability [MIP] = 0.76; model-averaged causal estimate [MACE] = 0.29). Conclusions: The results of this MR study support several putative causal factors for AMD and highlight avenues for future translational research. Funding: This project was funded by the Wellcome Trust (224643/Z/21/Z; 200990/Z/16/Z); the University of Manchester's Wellcome Institutional Strategic Support Fund (Wellcome ISSF) grant (204796/Z/16/Z); the UK National Institute for Health Research (NIHR) Academic Clinical Fellow and Clinical Lecturer Programmes; Retina UK and Fight for Sight (GR586); the Australian National Health and Medical Research Council (NHMRC) (1150144).

Indexed as

Macular DegenerationAustraliaBayes TheoremCausalityGenome-Wide Association StudyHumansPolymorphism, Single NucleotideRisk Factorsage-related macular degenerationAMDcausal inferencehumanmacular degenerationmedicineMendelian randomisationMendelian randomizationstatistics

Identifiers

PMID36705323
PMCPMC9883012
OpenAlexW4318220679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.