Ontology highlight
ABSTRACT: Introduction
Several Mendelian randomization studies have been conducted that identified multiple risk factors for Alzheimer's disease (AD). However, they typically focus on a few pre-selected risk factors.Methods
A two-sample Mendelian randomization (MR) study was used to systematically examine the potential causal associations of 1037 risk factors/medical conditions and 31 drugs with the risk of late-onset AD. To correct for multiple comparisons, the false discovery rate was set at < 0.05.Results
There was strong evidence of a causal association between glioma risk, reduced trunk fat-free mass, lower education levels, lower intelligence and a higher risk of AD. For 31 investigated treatments (such as antihypertensive drugs), we found limited evidence for their associations.Discussion
MR found robust evidence of causal associations between glioma, trunk fat-free, and AD. Our study also confirms that higher educational attainment and higher intelligence are associated with a reduced risk of AD.
SUBMITTER: Wu C
PROVIDER: S-EPMC7927163 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Wu Chong C Wu Lang L Wang Jingshen J Lin Lifeng L Li Yanming Y Lu Qing Q Deng Hong-Wen HW
Alzheimer's & dementia (New York, N. Y.) 20210303 1
<h4>Introduction</h4>Several Mendelian randomization studies have been conducted that identified multiple risk factors for Alzheimer's disease (AD). However, they typically focus on a few pre-selected risk factors.<h4>Methods</h4>A two-sample Mendelian randomization (MR) study was used to systematically examine the potential causal associations of 1037 risk factors/medical conditions and 31 drugs with the risk of late-onset AD. To correct for multiple comparisons, the false discovery rate was se ...[more]