Causal associations between mobile phone usage and glaucoma risk: A Mendelian randomization
Abstract
Causal associations between mobile phone usage and glaucoma risk: A Mendelian randomization study Song R, Wang Y, Kong Y, Fan X, Yuan C, Zha X. Causal associations between mobile phone usage and glaucoma risk: A Mendelian randomization study. Medicine (Baltimore). 2024 Nov 29;103(48):e40666. doi: 10.1097/MD.0000000000040666. Abstract Previous research has indicated a possible link between mobile phone usage and the incidence of glaucoma. This study employs a 2-sample Mendelian randomization (MR) analysis to examine the causal relationship between mobile phone use and glaucoma risk. We used single nucleotide polymorphisms (SNPs) from publicly accessible genome-wide association study (GWAS) datasets as instrumental variables (IVs). The primary analytical method was the inverse variance weighted (IVW) approach, with MR-Egger and weighted median analyses serving as complementary methods. Sensitivity was evaluated using Cochran's Q test and MR-Egger regression. The results demonstrate a causal effect of mobile phone usage on an increased risk of glaucoma (OR IVW = 1.358, 95% CI: 1.052-1.752, P = .019; OR MR- Egger = 1.882, 95% CI: 0.53-6.682, P = .337; OR Weighted median = 1.387, 95% CI: 1.012-1.900, P = .042; OR MR-PRESSO = 1.358, 95% CI: 1.052-1.752, P = .026). Sensitivity analyses confirmed the robustness and reliability of these findings. The study identifies mobile phone usage as a potentially modifiable risk factor for glaucoma, providing new avenues for exploring the specific mechanisms underlying these ocular disorders. Open access paper: journals.lww.com journal/fulltext/2024/11290/causal_associations_between_mobile_phone_usage_and.12.aspx
AI evidence extraction
Main findings
A 2-sample Mendelian randomization analysis using GWAS-derived SNP instruments found evidence consistent with a causal association between mobile phone usage and increased glaucoma risk (e.g., IVW OR=1.358, 95% CI 1.052–1.752; weighted median OR=1.387, 95% CI 1.012–1.900). Sensitivity analyses were reported to support robustness.
Outcomes measured
- glaucoma risk
Limitations
- Exposure characteristics (e.g., RF band/frequency, SAR, duration/intensity of use) not described in the abstract.
- Population details and sample size not reported in the abstract.
- MR-Egger estimate was imprecise and not statistically significant (wide CI), indicating uncertainty for that method.
View raw extracted JSON
{
"study_type": "other",
"exposure": {
"band": null,
"source": "mobile phone",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": null,
"sample_size": null,
"outcomes": [
"glaucoma risk"
],
"main_findings": "A 2-sample Mendelian randomization analysis using GWAS-derived SNP instruments found evidence consistent with a causal association between mobile phone usage and increased glaucoma risk (e.g., IVW OR=1.358, 95% CI 1.052–1.752; weighted median OR=1.387, 95% CI 1.012–1.900). Sensitivity analyses were reported to support robustness.",
"effect_direction": "harm",
"limitations": [
"Exposure characteristics (e.g., RF band/frequency, SAR, duration/intensity of use) not described in the abstract.",
"Population details and sample size not reported in the abstract.",
"MR-Egger estimate was imprecise and not statistically significant (wide CI), indicating uncertainty for that method."
],
"evidence_strength": "low",
"confidence": 0.7399999999999999911182158029987476766109466552734375,
"peer_reviewed_likely": "yes",
"keywords": [
"Mendelian randomization",
"2-sample MR",
"GWAS",
"SNP",
"mobile phone usage",
"glaucoma",
"IVW",
"MR-Egger",
"weighted median",
"MR-PRESSO"
],
"suggested_hubs": []
}
AI can be wrong. Always verify against the paper.
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