Evidence map›Paper›PMID 36786746›Full record

ArticleTranslational vision science & technology2023

Genetic Associations Between Smoking- and Glaucoma-Related Traits.

Jessica H Tran, Kelsey V Stuart, Victor de Vries, Joëlle E Vergroesen, Clara C Cousins, Pirro G Hysi, Ron Do, Ghislain Rocheleau, Jae H Kang, Janey L Wiggs and 7 more

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
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

17 authors at 9 institutions in 5 countries.

Jessica H TranDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kelsey V StuartNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK.
Victor de VriesDepartments of Ophthalmology and Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Joëlle E VergroesenDepartments of Ophthalmology and Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Clara C CousinsDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
Pirro G HysiDepartment of Ophthalmology, King's College London, St. Thomas' Hospital, London, UK.
Ron DoCharles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ghislain RocheleauCharles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jae H KangChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Janey L WiggsDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
Stuart MacGregorDepartment of Statistical Genetics, QIMR Bergohofer Medical Research Institute, Brisbane, Australia.
Anthony P KhawajaNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, UK.
David A MackeyCentre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Western Australia, Australia.
Caroline C W KlaverDepartments of Ophthalmology and Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Wishal D RamdasDepartments of Ophthalmology and Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Louis R PasqualeDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
UK Biobank Eye and Vision Consortium, and for the International Glaucoma Genetics Consortium
Icahn School of Medicine at Mount Sinai · USErasmus MC · NLMassachusetts Eye and Ear Infirmary · USMoorfields Eye Hospital NHS Foundation Trust · GBBrigham and Women's Hospital · USLions Eye Institute · AUQIMR Berghofer Medical Research Institute · AURadboud University Nijmegen · NLSt Thomas' Hospital · GB

Funding

Gene-Environment Interactions in GlaucomaR01EY015473 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI PASQUALE, LOUIS ROBERT · 2005 to 2021
$8.3M
Understanding the clinical impact of cumulative genetic risk to glaucomaR01EY032559 · NEI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Louis Robert Pasquale, Janey L Wiggs · 2021 to 2026
$4.3M
Medical Research Council MR/T040912/1NEI NIH HHS R01 EY015473NEI NIH HHS R01 EY032559
6 · The paper itself

Abstract

Purpose: The purpose of this study was to describe the genetic relationship between smoking and glaucoma. Methods: We used summary-level genetic data for smoking initiation, smoking intensity (cigarettes per day [CPD]), intraocular pressure (IOP), vertical cup-disc ratio, and open-angle glaucoma (OAG) to estimate global genetic correlations (rg) and perform two-sample Mendelian randomization (MR) experiments that explored relations between traits. Finally, we examined associations between smoking genetic risk scores (GRS) and smoking traits with measured IOP and OAG in Rotterdam Study participants. Results: We identified weak inverse rg between smoking- and glaucoma-related traits that were insignificant after Bonferroni correction. However, MR analysis revealed that genetically predicted smoking initiation was associated with lower IOP (-0.18 mm Hg per SD, 95% confidence interval [CI] = -0.30 to -0.06, P = 0.003). Furthermore, genetically predicted smoking intensity was associated with decreased OAG risk (odds ratio [OR] = 0.74 per SD, 95% CI = 0.61 to 0.90, P = 0.002). In the Rotterdam Study, the smoking initiation GRS was associated with lower IOP (-0.09 mm Hg per SD, 95% CI = -0.17 to -0.01, P = 0.04) and lower odds of OAG (OR = 0.84 per SD, 95% CI = 0.73 to 0.98, P = 0.02) in multivariable-adjusted analyses. In contrast, neither smoking history nor CPD was associated with IOP (P ≥ 0.38) or OAG (P ≥ 0.54). Associations between the smoking intensity GRS and glaucoma traits were null (P ≥ 0.13). Conclusions: MR experiments and GRS generated from Rotterdam Study participants support an inverse relationship between smoking and glaucoma. Translational Relevance: Understanding the genetic drivers of the inverse relationship between smoking and glaucoma could yield new insights into glaucoma pathophysiology.

Indexed as

Glaucoma, Open-AngleHumansIntraocular PressureRisk FactorsSmokingTonometry, Ocular

Identifiers

PMID36786746
PMCPMC9932549
OpenAlexW4320709606

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.