Evidence map›Paper›PMID 35361574›Full record

SynthesisThe British journal of ophthalmology2023

Background polygenic risk modulates the association between glaucoma and cardiopulmonary diseases and measures: an analysis from the UK Biobank.

Ajay Kolli, Sayuri Sekimitsu, Jiali Wang, Ayellet Segre, David Friedman, Tobias Elze, Louis R Pasquale, Janey Wiggs, Nazlee Zebardast

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in The British journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

9 authors at 4 institutions in 1 country.

Ajay KolliOphthalmology and Visual Science, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-3026-8636
Sayuri SekimitsuTufts University School of Medicine, Boston, Massachusetts, USA.
Jiali WangDepartment of Ophthalmology, Harvard Medical School, Boston, Massachusetts, USA.
Ayellet SegreDepartment of Ophthalmology, Harvard Medical School, Boston, Massachusetts, USA.
David FriedmanDepartment of Ophthalmology, Harvard Medical School, Boston, Massachusetts, USA.
Tobias ElzeSchepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts, USA.
Louis R PasqualeDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Janey Wiggs *Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, USA.
Nazlee Zebardast *Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, USA nazlee_Zebardast@meei.harvard.edu.
Harvard University · USMassachusetts Eye and Ear Infirmary · USIcahn School of Medicine at Mount Sinai · USTufts University · US

Funding

VISION RESEARCHP30EY003790 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI Patricia Ann D'Amore · 1985 to 2026
$25.5M
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
Personalizing Glaucoma Diagnosis by Disease Specific Patterns and Individual Eye AnatomyR01EY030575 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI ELZE, TOBIAS · 2019 to 2023
$2.4M
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic AssociationsK23EY032634 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI ZEBARDAST, NAZLEE · 2021 to 2024
$1.0M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NEI NIH HHS K23 EY032634NEI NIH HHS P30 EY003790NEI NIH HHS R01 EY015473NEI NIH HHS R01 EY030575NEI NIH HHS R01 EY032559
6 · The paper itself

Abstract

aimsTo assess whether associations of cardiopulmonary conditions and markers with glaucoma differ by background genetic risk for primary open angle glaucoma (POAG).

methodsWe constructed a POAG polygenic risk score (PRS) using genome-wide association study summary statistics from a large cross-ancestry meta-analysis. History of glaucoma (including self-report and codes for POAG, 'other glaucoma' or unspecified glaucoma), history of common cardiopulmonary conditions and cardiopulmonary measures were assessed in the UK Biobank. Stratifying by PRS decile 1 (lowest risk) versus decile 10 (highest risk), separate multivariable models were estimated to assess the associations of cardiopulmonary diseases or factors with glaucoma, adjusting for age, sex, smoking and medication use. A Bonferroni correction was used to adjust p values for multiple comparisons.

resultsIndividuals in POAG PRS decile 1 (417 cases, 44 458 controls; mean age 56.8 years) and decile 10 (2135 cases, 42 413 controls; mean age 56.7 years) were included. Within decile 1, glaucoma cases had significantly higher glycated haemoglobin (38.5 vs 35.9 mmol/mol) and higher prevalence of diabetes (17.5% vs 6.5%), dyslipidaemia (31.2% vs 18.3%) and chronic kidney disease (CKD) (6.7% vs 2.0%) than controls (adjusted p<0.0013 for each). Within decile 10, glaucoma was associated with higher prevalence of dyslipidaemia (27.7% vs 17.3%, p=6.9E-05). The magnitude of association between glaucoma and diabetes, CKD and glycated haemoglobin differed between deciles 1 and 10 (contrast test p value for difference <0.05).

conclusionThe relations between systemic conditions and glaucoma vary by underlying genetic predisposition to POAG, with larger associations among those who developed glaucoma despite low genetic risk.

Indexed as

Diabetes MellitusGlaucomaGlaucoma, Open-AngleBiological Specimen BanksGenome-Wide Association StudyGlycated HemoglobinHumansMiddle AgedRisk FactorsUnited KingdomGlycated HemoglobinEpidemiologyGeneticsGlaucoma

Identifiers

PMID35361574
PMCPMC9522920
OpenAlexW4221043107

What OpenQuestion holds

Textmetadata
LicenceTDM
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.