2023
DOI: 10.3389/fendo.2023.1164387
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Association of antihypertensive drugs with fracture and bone mineral density: A comprehensive drug-target Mendelian randomization study

Abstract: BackgroundObservational studies have investigated the associations between antihypertensive drugs and fracture risk as well as bone mineral density (BMD), but yielding controversial results.MethodsIn this study, a comprehensive drug-target Mendelian randomization (MR) analysis was conducted to systematically examine the associations between genetic proxies for eight common antihypertensive drugs and three bone health-related traits (fracture, total body BMD [TB-BMD], and estimated heel BMD [eBMD]). The main an… Show more

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Cited by 4 publications
(2 citation statements)
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“…F statistics were calculated as the formula: F = r 2 × (N-2)/(1-r 2 ), where r 2 is the variance explained, N is the sample size. For the selected SNPs, the value of F-statistics greater than 10 indicated less likelihood of weak instrument bias, affecting the results [ 23 , 24 ]. Subsequently, the exposure and outcome SNPs were standardized to ensure that the effect estimates were based on the same effect allele in both datasets.…”
Section: Methodsmentioning
confidence: 99%
“…F statistics were calculated as the formula: F = r 2 × (N-2)/(1-r 2 ), where r 2 is the variance explained, N is the sample size. For the selected SNPs, the value of F-statistics greater than 10 indicated less likelihood of weak instrument bias, affecting the results [ 23 , 24 ]. Subsequently, the exposure and outcome SNPs were standardized to ensure that the effect estimates were based on the same effect allele in both datasets.…”
Section: Methodsmentioning
confidence: 99%
“…Mendelian randomization is a statistical method that uses genetic variation as an instrumental variable to estimate the causal relationship between exposure and outcome [ 9 ]. Because genetic variation is randomly distributed during conception, it is unlikely to be influenced by environmental and confounding factors, thereby minimizing confounding bias and providing robust evidence of causal relationships.…”
Section: Introductionmentioning
confidence: 99%