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Investigation of SLA4A3 as a candidate gene for human retinal disease

Overview of attention for article published in Journal of Negative Results in BioMedicine, May 2016
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Title
Investigation of SLA4A3 as a candidate gene for human retinal disease
Published in
Journal of Negative Results in BioMedicine, May 2016
DOI 10.1186/s12952-016-0054-z
Pubmed ID
Authors

Louise M. Downs, Andrew R. Webster, Anthony T. Moore, Michel Michaelides, Robin R. Ali, Alison J. Hardcastle, Cathryn S. Mellersh

Abstract

SLC4A3 has been shown to cause retinal degeneration in a genetically engineered knockout mouse, and in a naturally occurring form of canine progressive retinal atrophy considered to be the equivalent of retinitis pigmentosa in humans (RP). This study was undertaken to investigate if SLC4A3 coding variants were implicated in human retinal degeneration. SLC4A3 exons were amplified and sequenced in 200 patients with autosomal recessive retinal degeneration who had no known molecular diagnosis for their condition, which included 197 unrelated individuals with suspected RP and three individuals with other forms of retinal disease. Three rare variants were identified that were predicted to be potentially pathogenic, however each variant was heterozygous in a single patient and therefore not considered disease-causing in isolation. Of these three variants, SNP-3 was the rarest, with an allele frequency of 7.06x10(-5) (>46,000 exomes from the ExAC database). In conclusion, no compound heterozygous or homozygous potentially pathogenic variants were identified that would account for recessive RP or retinal degeneration in this cohort, however the possibility remains that the rare variants identified could be acting with as yet undiscovered mutations in introns or regulatory regions. SLC4A3 remains an excellent candidate gene for human retinal degeneration, and with the advent of whole exome and whole genome sequencing of cohorts of molecularly unsolved patients with syndromic and non-syndromic forms of retinal degeneration, SLC4A3 may yet be implicated in human disease.

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The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Bachelor 2 18%
Student > Master 2 18%
Researcher 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Medicine and Dentistry 2 18%
Economics, Econometrics and Finance 1 9%
Agricultural and Biological Sciences 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 January 2017.
All research outputs
#20,328,845
of 22,873,031 outputs
Outputs from Journal of Negative Results in BioMedicine
#102
of 112 outputs
Outputs of similar age
#286,342
of 333,421 outputs
Outputs of similar age from Journal of Negative Results in BioMedicine
#3
of 3 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 112 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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