Evidence map›Paper›PMID 25590795›Full record

ArticleJAMA ophthalmology2015

Genetic and environmental factors in conjunctival UV autofluorescence.

Seyhan Yazar, Gabriel Cuellar-Partida, Charlotte M McKnight, Piriya Quach-Thanissorn, Jenny A Mountain, Minas T Coroneo, Craig E Pennell, Alex W Hewitt, Stuart MacGregor, David A Mackey

Abstract readTwin Study
In one paragraph

Article in JAMA ophthalmology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Conjunctival Ultraviolet Autofluorescence: A Systematic Review of Factors Affecting Observed Ocular Damage.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
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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

10 authors at 6 institutions in 1 country.

Seyhan YazarCentre for Ophthalmology and Vision Science/Lions Eye Institute Perth, University of Western Australia, Perth, Australia.
Gabriel Cuellar-PartidaStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Charlotte M McKnightCentre for Ophthalmology and Vision Science/Lions Eye Institute Perth, University of Western Australia, Perth, Australia.
Piriya Quach-ThanissornCentre for Ophthalmology and Vision Science/Lions Eye Institute Perth, University of Western Australia, Perth, Australia.
Jenny A MountainTelethon Kids Institute, University of Western Australia, Perth, Australia.
Minas T CoroneoDepartment of Ophthalmology, University of New South Wales, Sydney, Australia.
Craig E PennellSchool of Women's and Infants' Health, University of Western Australia, Perth, Australia.
Alex W HewittCentre for Eye Research Australia, Melbourne University, Melbourne, Australia.
Stuart MacGregorStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
David A MackeyCentre for Ophthalmology and Vision Science/Lions Eye Institute Perth, University of Western Australia, Perth, Australia6Centre for Eye Research Australia, Melbourne University, Melbourne, Australia.
Lions Eye Institute · AUQIMR Berghofer Medical Research Institute · AUUniversity of Western Australia · AUThe Kids Research Institute Australia · AUUniversity of Melbourne · AUUNSW Sydney · AU

Funding

International Collaborative Twin Study of Refractive and Glaucoma EndophenotypesR01EY018246 · NEI · DUKE UNIVERSITY · PI YOUNG, TERRI LOIS · 2007 to 2009
$1.8M
NEI NIH HHS R01 EY018246NEI NIH HHS R01EY018246
6 · The paper itself

Abstract

importanceConjunctival UV autofluorescence (CUVAF) photography was developed to detect and characterize preclinical sunlight-induced ocular damage. Ocular sun exposure has been related to cases of pterygia and was recently negatively correlated with myopia. Hence, CUVAF has excellent potential as an objective biomarker of sun exposure. However, much variation in CUVAF has been observed, and the relative contributions of genes and environment to this variation have not yet been identified.

objectiveTo investigate sources of variation in CUVAF in relation to its potential clinical relevance. DESIGN, SETTING, AND

participantsWe performed a cross-sectional analysis of 3 population-based cohort studies in the general community, including the Twins Eye Study in Tasmania, the Brisbane Adolescent Twin Study, and the Western Australian Pregnancy Cohort (Raine) Study. The twin studies were conducted between 2001 and 2009, and the 20-year follow-up of the Raine Study was completed between March 2010 and February 2012. We included genotypic and phenotypic data from 295 Australian families in the Tasmanian and Brisbane twin studies and from 661 participants in the 20-year follow-up of the Raine Study. We compared CUVAF levels in the 3 cohorts and performed a classic twin study to partition variation in CUVAF. We also conducted a genome-wide association analysis to identify specific genetic variants associated with CUVAF. MAIN OUTCOMES AND MEASURES: The total area of CUVAF, heritability of CUVAF, and single-nucleotide polymorphisms (SNPs) associated with CUVAF from the genome-wide association study.

resultsWithin twin cohorts, individuals living closer to the equator (latitude, 27.47° S) had higher levels of CUVAF compared with individuals from southern regions (latitude, 42.88° S) (median [interquartile range], 45.4 [26.8-68.5] vs 28.7 [15.0-42.3] mm2; P < .001). The variation in CUVAF explained by the additive genetic component was 0.37 (95% CI, 0.22-0.56), whereas the variation due to the common environment was 0.50 (95% CI; 0.29-0.71). The SNP rs1060043, located approximately 800 base pairs away from the SLC1A5 gene, a member of the solute carrier family 1, had a genome-wide significant association with a P value of 3.2 × 10-8. Gene-based analysis did not improve our power to detect association with other genes. CONCLUSIONS AND RELEVANCE: Our findings confirm that, although a large environmental component to CUVAF (equivalent of sun exposure) exists, genes also play a significant role. We identified a SNP (rs1060043) as being significantly associated with CUVAF; replication of this finding in future studies is warranted.

Indexed as

Gene-Environment InteractionGenetic Predisposition to DiseasePolymorphism, Single NucleotideAdolescentAdultAustraliaChildChild, PreschoolCohort StudiesConjunctivaCross-Sectional StudiesDiseases in TwinsEnvironmental ExposureFemaleGeneticsGenome-Wide Association Study

Identifiers

PMID25590795
PMCPMC4840232
OpenAlexW1982395109

What OpenQuestion holds

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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.