Results 11 to 20 of about 81,479 (293)
Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects. [PDF]
A conventional Mendelian randomization analysis assesses the causal effect of a risk factor on an outcome by using genetic variants that are solely associated with the risk factor of interest as instrumental variables. However, in some cases, such as the
Burgess, Stephen, Thompson, Simon G
core +4 more sources
The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data.
Stephen Burgess +7 more
doaj +1 more source
Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis [PDF]
Background A non-invasive method to grade the severity of steatohepatitis and liver fibrosis is magnetic resonance imaging (MRI) based corrected T1 (cT1).
Banerjee, R +25 more
core +3 more sources
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
doaj +1 more source
The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data.
Stephen Burgess +7 more
doaj +1 more source
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
doaj +1 more source
Statistical methods for Mendelian randomization in genome-wide association studies: A review
Genome-wide association studies have yielded thousands of associations for many common diseases and disease-related complex traits. The identified associations made it possible to identify the causal risk factors underlying diseases and investigate the ...
Frederick J. Boehm, Xiang Zhou
doaj +1 more source
Mendelian randomization shows a causal effect of low vitamin D on multiple sclerosis risk. [PDF]
ObjectiveWe sought to estimate the causal effect of low serum 25(OH)D on multiple sclerosis (MS) susceptibility that is not confounded by environmental or lifestyle factors or subject to reverse causality.MethodsWe conducted mendelian randomization (MR ...
Alfredsson, Lars +16 more
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Mendelian Randomization approaches are being increasingly refined, but certain statistical limitations hinder their application to GWAS. Here, the authors propose a new Mendelian Randomization method to estimate bi- directional causal effects and ...
Liza Darrous +2 more
doaj +1 more source
Shared genetic contribution of type 2 diabetes and cardiovascular disease: Implications for prognosis and treatment [PDF]
Purpose of Review: The increased cardiovascular disease (CVD) risk in subjects with type 2 diabetes (T2D) is well established. This review collates the available evidence and assesses the shared genetic background between T2D and CVD: the causal ...
Strawbridge, Rona J. +1 more
core +1 more source

