Evidence map›Paper›PMID 20577653›Full record

ArticleMolecular vision2010

Candidate genes for chromosomes 6 and 10 quantitative trait loci for age-related retinal degeneration in mice.

Diego G Ogando, Kam D Dahlquist, Mitra Alizadeh, Kannan Kunchithapautham, Jun Li, Nicole Yu, Matthew M LaVail, Bärbel Rohrer, Douglas Vollrath, Michael Danciger

Open access · greenAbstract read
In one paragraph

Article in Molecular vision, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 86% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 1 institution in 1 country.

Diego G OgandoDepartment of Biology, Loyola Marymount University, Los Angeles, CA 90045-2659, USA. dieogando@gmail.com
Kam D Dahlquist
Mitra Alizadeh
Kannan Kunchithapautham
Jun Li
Nicole Yu
Matthew M LaVail
Bärbel Rohrer
Douglas Vollrath
Michael Danciger
Loyola Marymount University · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Rapid-Prototyping and Design CoreP30EY002162 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LAMBA, DEEPAK ASHOK · 1985 to 2024
$16.8M
CELLULAR MECHANISMS OF INHERITED RETINAL DEGENERATIONR01EY001919 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LAVAIL, MATTHEW M · 1985 to 2014
$8.3M
ROD NEURODEGENERATIVE AND PROTECTIVE GENESR01EY013520 · NEI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ROHRER, BAERBEL · 2001 to 2005
$1.6M
Gene Modifiers of Retinal DegenerationR01EY013280 · NEI · LOYOLA MARYMOUNT UNIVERSITY · PI DANCIGER, HENRY MICHAEL · 2001 to 2009
$1.3M
COMPUTATIONAL METHODS FOR PROTEOMIC ANALYSISK22HG000044 · NHGRI · UNIVERSITY OF UTAH · PI GIDDINGS, MORGAN CORINNE · 2000 to 2005
$1.3M
NEI NIH HHS P30 EY002162NEI NIH HHS P30 EY02162NEI NIH HHS R01 EY001919NEI NIH HHS R01 EY013280NEI NIH HHS R01 EY013520NEI NIH HHS R01 EY01919NHGRI NIH HHS K22 HG000044NHGRI NIH HHS T32 HG000044
6 · The paper itself

Abstract

purposeIn a previous study, several quantitative trait loci (QTL) that influence age-related degeneration (ageRD) were identified in a cross between the albino strains B6(Cg)-Tyr(c-2J)/J (B6a) and BALB/cByJ (C). The Chromosome (Chr) 6 and Chr 10 QTL were the strongest and most highly significant loci and both involved B6a protective alleles. The QTL were responsible for 21% and 9% of the variance in phenotypes, respectively. We focused on these two QTL to identify candidate genes.

methodsDNA microarrays were used for the two mouse strains at four and eight months of age to identify genes that are differentially regulated and map to either QTL. Gene Ontology (GO) analysis of the differentially expressed genes was performed to identify possible processes and pathways associated with ageRD. To identify additional candidates, database analyses (Positional Medline or PosMed) were used. Based on differential expression, PosMed, and the presence of reported polymorphisms, five genes per QTL were selected for further study by sequencing analysis and qRT-PCR. Tumor necrosis factor, alpha- induced protein 3 (Tnfaip3; on a C57BL/6J (B6) background) was phenotypically tested. Single nucleotide polymorphisms (SNPs) flanking this gene were correlated with outer nuclear layer thickness (ONL), and eight-month-old Tnfaip3(+/-) mice were tested for ageRD.

resultsPolymorphisms were found in the coding regions of eight genes. Changes in gene expression were identified by qRT-PCR for Hexokinase 2 (Hk2) and Docking protein 1 (Dok1) at four months and for Dok1 and Tnfaip3 at eight months. Tnfaip3 was selected for phenotypic testing due to differential expression and the presence of two nonsynonymous mutations. However, when ONL thickness was compared in eight-month-old congenic Tnfaip3(+/-) and Tnfaip3(+/+) mice, no differences were found, suggesting that Tnfaip3 is not the quantitative trait gene (QTG) for the Chr 10 QTL. The GO analysis revealed that GO terms associated with stress and cell remodeling are overrepresented in the ageRD-sensitive C strain compared with the B6a strain with age (eight months). In the ageRD-resistant B6a strain, compared with the C strain, GO terms associated with antioxidant response and the regulation of blood vessel size are overrepresented with age.

conclusionsThe analyses of differentially expressed genes and the PosMed database yielded candidate genes for the Chr 6 and Chr 10 QTL. HtrA serine peptidase 2 (Htra2), Dok1, and Tnfaip3 were deemed most promising because of their known roles in apoptosis and our finding of nonsynonymous substitutions between B6a and C strains. While Tnfaip3 was excluded as the QTG for the Chr 10 QTL, Dok1 and Htra2 remain good candidates for the Chr 6 QTL. Finally, the GO term analysis further supports the general hypothesis that oxidative stress is involved in ageRD.

Indexed as

Chromosome MappingGenetic Association StudiesQuantitative Trait LociAnimalsCysteine EndopeptidasesDNA-Binding ProteinsFemaleHigh-Temperature Requirement A Serine Peptidase 2Intracellular Signaling Peptides and ProteinsMiceMice, Inbred StrainsMice, KnockoutMicroarray AnalysisMitochondrial ProteinsOxidative StressPhenotypeCysteine EndopeptidasesDNA-Binding ProteinsDok1 protein, mouseHigh-Temperature Requirement A Serine Peptidase 2Htra2 protein, mouseIntracellular Signaling Peptides and ProteinsMitochondrial ProteinsPhosphoproteinsRNA-Binding ProteinsSerine EndopeptidasesTnfaip3 protein, mouseTumor Necrosis Factor alpha-Induced Protein 3

Identifiers

PMID20577653
PMCPMC2890552
OpenAlexW2145383224

What OpenQuestion holds

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LicenceCC BY
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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.