Results 11 to 20 of about 81,479 (293)

Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects. [PDF]

open access: yesAmerican Journal of Epidemiology, 2015
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

MendelianRandomization v0.9.0: updates to an R package for performing Mendelian randomization analyses using summarized data [version 1; peer review: 2 approved]

open access: yesWellcome Open Research, 2023
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]

open access: yes, 2020
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

open access: yesClinical Epigenetics, 2023
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

MendelianRandomization v0.9.0: updates to an R package for performing Mendelian randomization analyses using summarized data [version 2; peer review: 2 approved]

open access: yesWellcome Open Research, 2023
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?

open access: yesEmerging Themes in Epidemiology, 2009
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

open access: yesComputational and Structural Biotechnology Journal, 2022
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]

open access: yes, 2016
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
core   +1 more source

Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics

open access: yesNature Communications, 2021
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]

open access: yes, 2018
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

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