Evidence map›Paper›PMID 35149155›Full record

ArticleOphthalmology2022

Photoreceptor Layer Thinning Is an Early Biomarker for Age-Related Macular Degeneration: Epidemiologic and Genetic Evidence from UK Biobank OCT Data.

Seyedeh Maryam Zekavat, Sayuri Sekimitsu, Yixuan Ye, Vineet Raghu, Hongyu Zhao, Tobias Elze, Ayellet V Segrè, Janey L Wiggs, Pradeep Natarajan, Lucian Del Priore and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
13.1field-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

59 citing papers in PubMed, 71 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Seyedeh Maryam ZekavatDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut; Computational Biology & Bioinformatics Program, Yale University, New Haven, Connecticut; Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Sayuri SekimitsuTufts University School of Medicine, Boston, Massachusetts.
Yixuan YeComputational Biology & Bioinformatics Program, Yale University, New Haven, Connecticut.
Vineet RaghuProgram in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Hongyu ZhaoComputational Biology & Bioinformatics Program, Yale University, New Haven, Connecticut; School of Public Health, Yale University, New Haven, Connecticut.
Tobias ElzeDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Ayellet V SegrèDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Janey L WiggsDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Pradeep NatarajanProgram in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Lucian Del PrioreDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut.
Nazlee ZebardastDepartment of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Jay C WangDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut; Northern California Retina Vitreous Associates, Mountain View, California. Electronic address: jay.wang@yale.edu.
Massachusetts Eye and Ear Infirmary · USYale University · USBroad Institute · USTufts University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Medical Scientist Training ProgramT32GM136651 · NIGMS · YALE UNIVERSITY · PI BARBARA I KAZMIERCZAK · 2020 to 2026
$16.5M
The NEIGHBORHOOD: POAG Heritable Overall Operational DatabaseR01EY022305 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI WIGGS, JANEY L · 2012 to 2025
$7.9M
Genetic and Environmental Risk Factors for Exfoliation Syndrome and GlaucomaR01EY020928 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI KANG, JAE H, WIGGS, JANEY L · 2011 to 2025
$7.3M
Clonal hematopoiesis in the Womens Health Initiative Memory StudyR01HL148565 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ALEXANDER P REINER, Eric A. Whitsel · 2019 to 2026
$5.9M
Clonal hematopoiesis in humans: determinants of development and progressionR01HL148050 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, NATARAJAN, PRADEEP · 2019 to 2022
$5.9M
Uncovering novel biological processes and pathogenic mechanisms for glaucomaR01EY031424 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Ayellet Vered Segre · 2020 to 2026
$4.5M
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
Defining early-onset glaucomagenetic etiologiesR01EY031820 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI WIGGS, JANEY L · 2020 to 2024
$3.6M
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
Dissecting the impact of clonal hematopoiesis on atherosclerosis using multiscale 'omicsF30HL149180 · NHLBI · YALE UNIVERSITY · PI ZEKAVAT, SEYEDEH MARYAM · 2019 to 2021
$138k
NCATS NIH HHS UL1 TR001863NEI NIH HHS K23 EY032634NEI NIH HHS R01 EY020928NEI NIH HHS R01 EY022305NEI NIH HHS R01 EY031424NEI NIH HHS R01 EY031820NEI NIH HHS R01 EY032559NHLBI NIH HHS F30 HL149180NHLBI NIH HHS R01 HL148050NHLBI NIH HHS R01 HL148565NIGMS NIH HHS T32 GM136651
6 · The paper itself

Abstract

purposeDespite widespread use of OCT, an early-stage imaging biomarker for age-related macular degeneration (AMD) has not been identified. Pathophysiologically, the timing of drusen accumulation in relationship to photoreceptor degeneration in AMD remains unclear, as are the inherited genetic variants contributing to these processes. Herein, we jointly analyzed OCT, electronic health record data, and genomic data to characterize the time sequence of changes in retinal layer thicknesses in AMD, as well as epidemiologic and genetic associations between retinal layer thicknesses and AMD.

designCohort study.

participantsForty-four thousand eight hundred twenty-three individuals from the UK Biobank (enrollment age range, 40-70 years; 54% women; median follow-up, 10 years).

methodsThe Topcon Advanced Boundary Segmentation algorithm was used for retinal layer segmentation. We associated 9 retinal layer thicknesses with prevalent AMD (present at enrollment) in a logistic regression model and with incident AMD (diagnosed after enrollment) in a Cox proportional hazards model. Next, we associated AMD-associated genetic alleles, individually and as a polygenic risk score (PRS), with retinal layer thicknesses. All analyses were adjusted for age, age-squared (age

main outcome measuresPrevalent and incident AMD.

resultsPhotoreceptor segment (PS) thinning was observed throughout the lifespan of individuals analyzed, whereas retinal pigment epithelium (RPE) and Bruch's membrane (BM) complex thickening started after 57 years of age. Each standard deviation (SD) of PS thinning and RPE-BM complex thickening was associated with incident AMD (PS: hazard ratio [HR], 1.35; 95% confidence interval [CI], 1.23-1.47; P = 3.7 × 10

conclusionsEpidemiologically, PS thinning precedes RPE-BM complex thickening by decades and is the retinal layer most strongly predictive of future AMD risk. Genetically, AMD risk variants are associated with decreased PS thickness. Overall, these findings support PS thinning as an early-stage biomarker for future AMD development.

Indexed as

Macular DegenerationTomography, Optical CoherenceAdultAgedBiological Specimen BanksBiomarkersCohort StudiesFemaleHigh-Temperature Requirement A Serine Peptidase 1HumansMaleMiddle AgedRetinal Pigment EpitheliumUnited KingdomBiomarkersHigh-Temperature Requirement A Serine Peptidase 1HTRA1 protein, humanAge-related macular degenerationEpidemiologyGeneticsOCTPhotoreceptor thinning

Identifiers

PMID35149155
PMCPMC9134644
OpenAlexW4210856179

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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.