Results 21 to 30 of about 72,268 (331)
Meta‐analysis and
Mendelian randomization (MR) uses genetic variants as instrumental variables to infer whether a risk factor causally affects a health outcome. Meta‐analysis has been used historically in MR to combine results from separate epidemiological studies, with each study using a small but select group of genetic variants.
Bowden, J, Holmes, MV
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The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data. In this manuscript, we describe functions that have been added to the package or
Jim R. Broadbent +5 more
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Effects of epigenetic age acceleration on kidney function: a Mendelian randomization study
Background Previous studies have reported cross-sectional associations between measures of epigenetic age acceleration (EAA) and kidney function phenotypes. However, the temporal and potentially causal relationships between these variables remain unclear.
Yang Pan +7 more
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Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks
Mendelian randomization is a popular method to detect causal relationships between traits, but can be confounded by instances of horizontal pleiotropy. Here, the authors present a Mendelian randomization workflow which includes causal discovery analysis ...
David Amar +3 more
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Mendelian Randomization Analysis in Observational Epidemiology
Mendelian randomization (MR) in epidemiology is the use of genetic variants as instrumental variables (IVs) in non-experimental design to make causality of a modifiable exposure on an outcome or disease. It assesses the causal effect between risk factor and a clinical outcome.
Kwan Lee, Chi-Yeon Lim
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Survivor bias in Mendelian randomization analysis
Mendelian randomization studies employ genotypes as experimental handles to infer the effect of genetically modified exposures (e.g. vitamin D exposure) on disease outcomes (e.g. mortality). The statistical analysis of these studies makes use of the standard instrumental variables framework.
Vansteelandt, Stijn +2 more
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Metabolomic Profiling of Statin Use and Genetic Inhibition of HMG-CoA Reductase [PDF]
Background Statins are first-line therapy for cardiovascular disease prevention, but their systemic effects across lipoprotein subclasses, fatty acids, and circulating metabolites remain incompletely characterized.
Ala-Korpela, M +25 more
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Can we apply the Mendelian randomization methodology without considering epigenetic effects?
Introduction Instrumental variable (IV) methods have been used in econometrics for several decades now, but have only recently been introduced into the epidemiologic research frameworks.
Karmaus Wilfried +2 more
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Objective Inconsistent results were reported on the association of physical activity with ovarian cancer. However, given the limitations of confounders and inverse causation, the validity of the association remained unclear. Therefore, we conducted a two-
Jing Wang +3 more
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Causal relevance of blood lipid fractions in the development of carotid atherosclerosis: Mendelian randomization analysis. [PDF]
BACKGROUND: Carotid intima-media thickness (CIMT), a subclinical measure of atherosclerosis, is associated with risk of coronary heart disease events. Statins reduce progression of CIMT and coronary heart disease risk in proportion to the reduction in ...
Baldassarre, Damiano +22 more
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