Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
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Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
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Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
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Function: require_once
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Purpose: To explore whether there is a causal relationship between coffee consumption and primary open-angle glaucoma (POAG).
Design: Two-sample Mendelian randomization (MR).
Participants: The single-nucleotide polymorphisms (SNPs) associated with coffee consumption (including phenotypes 1 and 2) were selected from a genome-wide association study (GWAS) involving 121 824 individuals of European descent. Coffee intake from the MRC-IEU UK Biobank was also used to identify instruments for coffee intake. Summary-level data for POAG were obtained from the largest publicly available meta-analyses involving 16 677 POAG cases and 199 580 controls of European descent.
Methods: The inverse variance-weighted (IVW) method was the main MR analysis, whereas weighted-median, weighted mode-based estimate (MBE), MR Pleiotropy RESidual Sum and Outlier (PRESSO) test, and MR-Egger regression were used for sensitivity analysis.
Main Outcome Measures: Diagnosis of POAG.
Results: Three sets of instrumental variables were used to evaluate the causal association between coffee consumption and POAG risk. Results showed that genetically predicted higher coffee consumption phenotype 1 (cups/day) was significantly associated with higher risk of POAG (odds ratio [OR], 1.241; 95% confidence interval [CI], 1.041-1.480; P = 0.016). Genetically predicted higher coffee consumption phenotype 2 (high vs. no/low) was also significantly associated with higher risk of POAG (OR, 1.155; 95% CI, 1.038-1.284; P = 0.008, using the IVW method). Moreover, genetically predicted higher coffee intake from the MRC-IEU UK Biobank OpenGWAS was significantly associated with a higher risk of POAG (OR, 1.727; 95% CI, 1.230-2.425; P = 0.002, using the IVW method). Sensitivity analyses confirmed that the findings were robust to possible pleiotropy.
Conclusions: These findings provide the genetic evidence that higher coffee consumption is associated with a higher risk of POAG. Given that coffee is widely consumed, our findings provide new insights into potential strategies to prevent and manage POAG.
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http://dx.doi.org/10.1016/j.ophtha.2022.04.027 | DOI Listing |