Evidence map›Paper›PMID 23868983›Full record

ArticleInvestigative ophthalmology & visual science2013

Selection of Phototransduction Genes in Homo sapiens.

Mark Christopher, Todd E Scheetz, Robert F Mullins, Michael D Abràmoff

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Investigative ophthalmology & visual science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Mark ChristopherInstitute for Vision Research, University of Iowa, Iowa City, Iowa, USA.
Todd E Scheetz
Robert F Mullins
Michael D Abràmoff
University of Iowa · USUniversity of Iowa Hospitals and Clinics · US

Funding

Genetics of Quantitative Traits Associated with GlaucomaR01EY018825 · NEI · UNIVERSITY OF IOWA · PI FINGERT, JOHN H · 2009 to 2013
$3.2M
Retinal Therapy Guided by 3-D OCT Image AnalysisR01EY019112 · NEI · UNIVERSITY OF IOWA · PI ABRAMOFF, MICHAEL DAVID, SONKA, MILAN · 2010 to 2014
$2.6M
Three-dimensional structure-function relationships in glaucoma from SD-OCTR01EY018853 · NEI · UNIVERSITY OF IOWA · PI ABRAMOFF, MICHAEL DAVID, KWON, YOUNG H. · 2009 to 2016
$2.6M
Choriocapillaris Activation in Macular DegenerationR01EY017451 · NEI · UNIVERSITY OF IOWA · PI MULLINS, ROBERT FOSTER · 2007 to 2011
$1.8M
Low-cost, portable, computer assisted imaging for diabe*R01EY017066 · NEI · UNIVERSITY OF IOWA · PI ABRAMOFF, MICHAEL DAVID · 2005 to 2008
$1.3M
Computer Aided Detection of Diabetic Retinopathy in Veterans with DiabetesI01CX000119 · VA · IOWA CITY VA MEDICAL CENTER · PI ABRAMOFF, MICHAEL DAVID · 2009 to 2013
–
CSRD VA I01 CX000119NEI NIH HHS NEI-EY017066NEI NIH HHS NEI-EY017451NEI NIH HHS NEI-EY018825NEI NIH HHS R01 EY017066NEI NIH HHS R01 EY017451NEI NIH HHS R01 EY018825NEI NIH HHS R01 EY018853NEI NIH HHS R01 EY019112
6 · The paper itself

Abstract

purposeWe investigated the evidence of recent positive selection in the human phototransduction system at single nucleotide polymorphism (SNP) and gene level.

methodsSNP genotyping data from the International HapMap Project for European, Eastern Asian, and African populations was used to discover differences in haplotype length and allele frequency between these populations. Numeric selection metrics were computed for each SNP and aggregated into gene-level metrics to measure evidence of recent positive selection. The level of recent positive selection in phototransduction genes was evaluated and compared to a set of genes shown previously to be under recent selection, and a set of highly conserved genes as positive and negative controls, respectively.

resultsSix of 20 phototransduction genes evaluated had gene-level selection metrics above the 90th percentile: RGS9, GNB1, RHO, PDE6G, GNAT1, and SLC24A1. The selection signal across these genes was found to be of similar magnitude to the positive control genes and much greater than the negative control genes.

conclusionsThere is evidence for selective pressure in the genes involved in retinal phototransduction, and traces of this selective pressure can be demonstrated using SNP-level and gene-level metrics of allelic variation. We hypothesize that the selective pressure on these genes was related to their role in low light vision and retinal adaptation to ambient light changes. Uncovering the underlying genetics of evolutionary adaptations in phototransduction not only allows greater understanding of vision and visual diseases, but also the development of patient-specific diagnostic and intervention strategies.

Indexed as

Genome, HumanPolymorphism, Single NucleotideGene FrequencyGenesGenetics, PopulationGenotypeHaplotypesHumansLight Signal TransductionSelection, GeneticevolutionHomo sapiensphototransductionrecent positive selectionvision

Identifiers

PMID23868983
PMCPMC3743458
OpenAlexW1983500985

What OpenQuestion holds

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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.