Evidence map›Paper›PMID 32239196›Full record

ArticleJAMA ophthalmology2020

Association of Clinical and Genetic Heterogeneity With BEST1 Sequence Variations.

Mital Shah, Suzanne Broadgate, Morag Shanks, Penny Clouston, Jing Yu, Robert E MacLaren, Andrea H Németh, Stephanie Halford, Susan M Downes

Open access · bronzeAbstract read
In one paragraph

Article in JAMA ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 24% 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, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Mital ShahOxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Suzanne BroadgateNuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Morag ShanksOxford Medical Genetics Laboratories, Churchill Hospital, Oxford, United Kingdom.
Penny CloustonOxford Medical Genetics Laboratories, Churchill Hospital, Oxford, United Kingdom.
Jing YuNuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Robert E MacLarenOxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Andrea H NémethNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Stephanie HalfordNuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Susan M DownesOxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
University of Oxford · GBNuffield Orthopaedic Centre · GBChurchill Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Detailed phenotypic information on the spectrum of fundus abnormalities and clinical variability of all phenotypes associated with sequence variations in BEST1 is limited. Objective: To report a detailed phenotypic and genetic analysis of a patient cohort with sequence variations in BEST1. Design, Setting, and Participants: This retrospective case series took place at the Oxford Eye Hospital in Oxford, UK. Thirty-six patients from a single center with disease-causing sequence variations in BEST1 from 25 different families were analyzed. Data were collected from November 2017 to June 2018, and analysis began April 2018. Main Outcomes and Measures: Results of ocular phenotyping and genetic testing using targeted next-generation sequencing to identify BEST1 sequence variations. Results: Thirty-six patients from 25 families with disease-causing sequence variations in BEST1 were included. Of 36 patients, 20 (55.6%) were female. Three distinct clinical phenotypes were identified: autosomal recessive bestrophinopathy (ARB), best vitelliform macular dystrophy (BVMD), and adult-onset vitelliform macular dystrophy. The ARB phenotype group comprised 18 patients from 9 families with age in years at symptom onset ranging from less than 10 to 40s. All patients showed a common phenotype of fundus autofluorescence abnormalities, and spectral-domain optical coherence tomography features were similar in all patients with schitic and cystoid changes. A phenotype of a beaten metallic retinal appearance extending from the mid periphery to the far periphery was identified in 8 patients. Four patients from 1 family with ARB were previously reported to have autosomal recessive retinitis pigmentosa but were reclassified as having ARB as part of this study. The BVMD phenotype group comprised 16 patients from 14 families with age at symptom onset ranging from less than 10 to 70s. Fundus features were localized to the macula and consistent with the stage of BVMD. In the adult-onset vitelliform macular dystrophy phenotype group, the age in years at symptom onset varied from 50s to 70s in 2 patients from 2 families. Fundus features included small vitelliform lesions. Where available, electro-oculogram results demonstrated a reduced or absent light rise in all patients with ARB and BVMD. Genetic testing identified 22 variants in BEST1. Conclusions and Relevance: These findings support the notion that ARB, BVMD, and adult-onset vitelliform macular dystrophy are clinically distinct and recognizable phenotypes and suggest that the association of autosomal recessive retinitis pigmentosa with sequence variations in BEST1 should be rereviewed.

Indexed as

Genetic HeterogeneityAgedBestrophinsElectroretinographyEye Diseases, HereditaryFemaleGenetic Association StudiesGenetic TestingHumansMaleMiddle AgedRetinal DiseasesRetinitis PigmentosaRetrospective StudiesSlit Lamp MicroscopyTomography, Optical CoherenceBEST1 protein, humanBestrophins

Identifiers

PMID32239196
PMCPMC7118667
OpenAlexW3014664455

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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.