Insulin-related traits and prostate cancer: A Mendelian randomization study

Chen, Guihua; Wang, Yi; Wang, Xiang

doi:10.1016/j.csbj.2024.05.034

Cited by 1 publication

(2 citation statements)

References 52 publications

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“…However, IVW is considered to be the primary and most reliable method for judging analytical results in MR analysis, while methods such as MR-Egger, WM1, and MRPRESSO are only complementary supportive evidence for the IVW method . Furthermore, the OR of IVW, WM1, and MR-Egger were all greater than 1 to provide more reliable evidence for our result analysis . Meanwhile, heterogeneity analysis, genetic pleiotropy, and sensitivity analysis further enhanced the credibility of our results.…”

Section: Discussionsupporting

confidence: 51%

“…25 Furthermore, the OR of IVW, WM1, and MR-Egger were all greater than 1 to provide more reliable evidence for our result analysis. 26 Meanwhile, heterogeneity analysis, genetic pleiotropy, and sensitivity analysis further enhanced the credibility of our results. Therefore, we concluded that there is a positive causal relationship between allopurinol and cerebral infarction and that genetic variation in allopurinol is associated with an increased risk of cerebral infarction.…”

Section: Discussionmentioning

confidence: 52%

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Allopurinol is Associated with an Increased Risk of Cerebral Infarction: A Two-Sample Mendelian Randomization Study

Ma,

Shi,

Feng

et al. 2024

ACS Omega

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Objective: Previous studies have reported that the inappropriate use of allopurinol may increase the risk of cerebrovascular accidents, but some studies have also confirmed that allopurinol is a protective factor against stroke. To clarify whether there is a relevant causal relationship between allopurinol and cerebral infarction, we conducted a two-sample Mendelian randomization (MR) study. Methods: Data on single nucleotide polymorphisms (SNPs) associated with allopurinol and genome-wide association studies of cerebral infarction were obtained from the genome-wide association study (GWAS) web site. Five basic MR analyses were performed using MR-Egger regression, weighted median (WM1), inverse variance weighting (IVW), weighted mode (WM2), and simple mode. Sensitivity analysis was subsequently performed to detect horizontal pleiotropy, heterogeneity, and potential outliers. The final analysis results were mainly based on the IVW estimates. Results: A total of 10 SNPs were used as instrumental variables (IVs).

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Section: Discussionsupporting

confidence: 51%

Section: Discussionmentioning

confidence: 52%