Evidence map›Paper›PMID 25082885›Full record

ArticleInvestigative ophthalmology & visual science2014

Molecular diagnostic testing by eyeGENE: analysis of patients with hereditary retinal dystrophy phenotypes involving central vision loss.

Akhila Alapati, Kerry Goetz, John Suk, Mili Navani, Amani Al-Tarouti, Thiran Jayasundera, Santa J Tumminia, Pauline Lee, Radha Ayyagari

Open access · greenAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  4. Heliyon · 2024
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  6. International journal of molecular sciences · 2024
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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

9 authors at 4 institutions in 1 country.

Akhila AlapatiShiley Eye Center, University of California-San Diego, La Jolla, California, United States.
Kerry GoetzOphthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States.
John SukShiley Eye Center, University of California-San Diego, La Jolla, California, United States.
Mili NavaniShiley Eye Center, University of California-San Diego, La Jolla, California, United States.
Amani Al-TaroutiW. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan, United States.
Thiran JayasunderaW. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan, United States.
Santa J TumminiaOffice of the Director, National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States.
Pauline LeeShiley Eye Center, University of California-San Diego, La Jolla, California, United States.
Radha AyyagariShiley Eye Center, University of California-San Diego, La Jolla, California, United States.
University of California, San Diego · USUniversity of Michigan–Ann Arbor · USNational Institutes of Health · USOffice of the Director · US

Funding

National Ophthalmic Disease Genotyping and Phenotyping Network - eyeGENEZICEY000478 · NEI · NATIONAL EYE INSTITUTE · PI GOETZ, KERRY · 2009 to 2025
$14.8M
Vision BiostatisticsP30EY022589 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Derek Stuart Welsbie · 2012 to 2026
$10.3M
Molecular Basis of Hereditary Retinal DegenerationsR01EY021237 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AYYAGARI, RADHA · 2011 to 2020
$5.6M
NEI NIH HHS EY021237NEI NIH HHS EY022589NEI NIH HHS P30 EY022589NEI NIH HHS P30EY022589NEI NIH HHS R01 EY021237
6 · The paper itself

Abstract

purposeTo analyze the genetic test results of probands referred to eyeGENE with a diagnosis of hereditary maculopathy.

methodsPatients with Best macular dystrophy (BMD), Doyne honeycomb retinal dystrophy (DHRD), Sorsby fundus dystrophy (SFD), or late-onset retinal degeneration (LORD) were screened for mutations in BEST1, EFEMP1, TIMP3, and CTRP5, respectively. Patients with pattern dystrophy (PD) were screened for mutations in PRPH2, BEST1, ELOVL4, CTRP5, and ABCA4; patients with cone-rod dystrophy (CRD) were screened for mutations in CRX, ABCA4, PRPH2, ELOVL4, and the c.2513G>A p.Arg838His variant in GUCY2D. Mutation analysis was performed by dideoxy sequencing. Impact of novel variants was evaluated using the computational tool PolyPhen.

resultsAmong the 213 unrelated patients, 38 had BMD, 26 DHRD, 74 PD, 8 SFD, 6 LORD, and 54 CRD; six had both PD and BMD, and one had no specific clinical diagnosis. BEST1 variants were identified in 25 BMD patients, five with novel variants of unknown significance (VUS). Among the five patients with VUS, one was diagnosed with both BMD and PD. A novel EFEMP1 variant was identified in one DHRD patient. TIMP3 novel variants were found in two SFD patients, PRPH2 variants in 14 PD patients, ABCA4 variants in four PD patients, and p.Arg838His GUCY2D mutation in six patients diagnosed with dominant CRD; one patient additionally had a CRX VUS. ABCA4 mutations were identified in 15 patients with recessive CRD.

conclusionsOf the 213 samples, 55 patients (26%) had known causative mutations, and 13 (6%) patients had a VUS that was possibly pathogenic. Overall, selective screening for mutations in BEST1, PRPH2, and ABCA4 would likely yield the highest success rate in identifying the genetic basis for macular dystrophy phenotypes. Because of the overlap in phenotypes between BMD and PD, it would be beneficial to screen genes associated with both diseases.

Indexed as

Molecular Diagnostic TechniquesMutationAdultAgedAged, 80 and overEye Diseases, HereditaryFemaleGenetic Association StudiesGenetic ResearchGenetic TestingGenetic VariationHumansMaleMiddle AgedPhenotypeRetinal DystrophieseyeGENEgenetic testingmacular dystrophy

Identifiers

PMID25082885
PMCPMC4152151
OpenAlexW2039557014

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.