Evidence map›Paper›PMID 32896097›Full record

ReviewAmerican journal of medical genetics. Part C, Seminars in medical genetics2020

Ocular genetics in the genomics age.

Michael A Walter, Tayebeh Rezaie, Robert B Hufnagel, Gavin Arno

Abstract readReview
In one paragraph

Review in American journal of medical genetics. Part C, Seminars in medical genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Introduction to the special issue on Ophthalmic Genetics: Vision in 2020.American journal of medical genetics. Part C, Seminars in medical genetics · 2020
    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

4 authors.

Michael A WalterDepartment of Medical Genetics, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0002-0567-0113
Tayebeh RezaieNational Center for Biotechnology Information, National Institutes of Health, Bethesda, Maryland, USA.
Robert B HufnagelOphthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-3015-3545
Gavin ArnoUniversity College London Institute of Ophthalmology, London, UK.ORCID 0000-0002-6165-7888

Funding

Genomic and epigenomic mechanisms of pediatric ocular disordersZIAEY000565 · NEI · NATIONAL EYE INSTITUTE · PI HUFNAGEL, ROBERT · 2019 to 2024
$11.4M
Clinical ophthalmic molecular diagnostics and discoveryZIAEY000564 · NEI · NATIONAL EYE INSTITUTE · PI GUAN, BIN · 2019 to 2025
$7.9M
Intramural NIH HHS ZIA EY000564Intramural NIH HHS ZIA EY000565
6 · The paper itself

Abstract

Current genetic screening methods for inherited eye diseases are concentrated on the coding exons of known disease genes (gene panels, clinical exome). These tests have a variable and often limited diagnostic rate depending on the clinical presentation, size of the gene panel and our understanding of the inheritance of the disorder (with examples described in this issue). There are numerous possible explanations for the missing heritability of these cases including undetected variants within the relevant gene (intronic, up/down-stream and structural variants), variants harbored in genes outside the targeted panel, intergenic variants, variants undetectable by the applied technology, complex/non-Mendelian inheritance, and nongenetic phenocopies. In this article we further explore and review methods to investigate these sources of missing heritability.

Indexed as

Eye Diseases, HereditaryGenome, HumanGenomicsHumansOphthalmologyenhancerregulatoryvariant

Identifiers

PMID32896097
PMCPMC8170588

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.