Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Purpose: To evaluate how the HLA genotype is associated to the polypoidal choroidal vasculopathy (PCV) in a population of patients of Afro-Caribbean descent.
Methods: Forty-seven patients were diagnosed with PCV. The number of control patients was 457. All affected patients and control patients were of Afro-Caribbean descent and natives to Martinique. HLA typing was based on blood sample, using the polymerase chain reaction technique. Comparison of HLA alleles between the 2 groups was done using chi-2 test, odds ratio (OR) and confidence interval using Woolf's method. The Bonferroni correction was considered significant when p-value ≤0.05. Alleles frequency was analyzed for DRB1 and DQB1 locus.
Results: HLA-DRB1*13 allele was significantly associated to PCV (OR = 2.02, CI = [1.3; 3.13], p = 0.003). In group DRB1, the Bonferroni correction significance threshold was <0.004. HLA-DQB1*04 allele was significantly associated to PCV (OR = 3.5, CI = [1.48; 8.3], p = 0.006). In group DQB1, the Bonferroni correction significance threshold was <0.006.
Conclusion: Two HLA alleles are positively associated to PCV. The possible association between PCV and certain alleles suggest HLA implication in PCV pathogeny, most likely by modeling the immune system response.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995864 | PMC |
http://dx.doi.org/10.2147/OPTH.S337084 | DOI Listing |
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