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LOXL1 gene variants and their association with pseudoexfoliation glaucoma (XFG) in Spanish patients

Overview of attention for article published in BMC Medical Genomics, August 2015
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Title
LOXL1 gene variants and their association with pseudoexfoliation glaucoma (XFG) in Spanish patients
Published in
BMC Medical Genomics, August 2015
DOI 10.1186/s12881-015-0221-y
Pubmed ID
Authors

Lydia Álvarez, Montserrat García, Héctor González-Iglesias, Julio Escribano, Pedro P. Rodríguez-Calvo, Luis Fernández-Vega, Miguel Coca-Prados

Abstract

LOXL1 gene is the most important genetic risk factor known so far for pseudoexfoliation glaucoma (XFG). Our purpose was to evaluate the potential association of individual genetic variants of the lysyl oxidase-like 1 (LOXL1) gene and haplotypes with XFG in Spanish patients. Blood samples were collected from a total of 105 Spanish patients with XFG and 200 healthy controls. The entire LOXL1 gene along with the promoter, coding and non-coding regions including the 5´- and 3´-untranslated regions, were sequenced using next-generation sequencing in 99 XFG patients. SNPs rs16958477 (promoter), rs1048661 (exon 1), rs3825942 (exon 1), rs2165241 (intron 1) and rs3522 (exon 7) in LOXL1 were genotyped by restriction fragment-length polymorphism (RFLP) in all Spanish control participants and in six additional XFG patients, and a case-control association study was performed. Comparisons of the allelic and genotypic frequencies were performed using standard χ(2) test with Bonferroni and Pearson corrections. Logistic regression analyses were permormed using Sigmaplot v11. Haplotypes frequencies were performed using HaploView 4.0. Sequencing of the LOXL1 gene in XFG participants identified a total of 212 SNPs, of which 49 exhibited allelic frequencies with significant differences between cases and controls, and 66 were not previously described. The allele frequencies of SNPs rs16958477, rs1048661, rs3825942, rs2165241, were significantly associated with an increased risk for XFG, however the SNP rs3522 was not. The haplotype frequencies of SNPs rs16958477, rs1048661, rs3825942 and rs2165241 and their association with XFG indicated that the CGGT haplotype, containing all four risk alleles, and the AGGT haplotype, which carries the protective allele of rs16958477 and three risk alleles of the other three SNPs, were significantly associated with XFG (p = 4.5×10(-6), and p = 8.8×10(-6)), conferring more than 2-fold increased disease susceptibility. SNPs of the LOXL1 gene are associated with XFG in the Spanish population. This information adds new support to the distinct risk association frequencies of LOXL1 alleles with XFG in Western European and Asian populations. Identification and validation of additional SNPs along the entire LOXL1 gene of XFG cases may provide insightful information on their potential role in the pathogenesis of this disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Other 3 10%
Student > Doctoral Student 3 10%
Student > Master 2 7%
Researcher 2 7%
Other 2 7%
Unknown 10 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 30%
Medicine and Dentistry 6 20%
Psychology 2 7%
Agricultural and Biological Sciences 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 11 37%
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 30 August 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#237,965
of 277,318 outputs
Outputs of similar age from BMC Medical Genomics
#58
of 69 outputs
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