Results 1 to 10 of about 4,923,465 (163)

Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator

Genetic Epidemiology, 2016
Developments in genome‐wide association studies and the increasing availability of summary genetic association data have made application of Mendelian randomization relatively straightforward.
Jack Bowden, Philip C Haycock, Stephen Burgess   +2 more
exaly   +2 more sources

Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression

International Journal of Epidemiology, 2015
Background: The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain more precise estimates of causal ...
Jack Bowden, , Stephen Burgess
exaly   +2 more sources

Interpreting findings from Mendelian randomization using the MR-Egger method

European Journal of Epidemiology, 2017
Mendelian randomization-Egger (MR-Egger) is an analysis method for Mendelian randomization using summarized genetic data. MR-Egger consists of three parts: (1) a test for directional pleiotropy, (2) a test for a causal effect, and (3) an estimate of the ...
Stephen Burgess, Simon G Thompson, Thompson Simon G   +2 more
exaly   +2 more sources

Addressing the credibility crisis in Mendelian randomization

BMC Medicine
Background Genome-wide association studies have enabled Mendelian randomization analyses to be performed at an industrial scale. Two-sample summary data Mendelian randomization analyses can be performed using publicly available data by anyone who has ...
Stephen Burgess, Benjamin Woolf, Amy M. Mason, Mika Ala-Korpela, Dipender Gill   +4 more
doaj   +2 more sources

Bias due to participant overlap in two‐sample Mendelian randomization

Genetic Epidemiology, 2016
Mendelian randomization analyses are often performed using summarized data. The causal estimate from a one‐sample analysis (in which data are taken from a single data source) with weak instrumental variables is biased in the direction of the ...
Stephen Burgess, Neil M Davies, Simon G Thompson   +2 more
exaly   +2 more sources

Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors

European Journal of Epidemiology, 2015
Finding individual-level data for adequately-powered Mendelian randomization analyses may be problematic. As publicly-available summarized data on genetic associations with disease outcomes from large consortia are becoming more abundant, use of ...
Stephen Burgess, Robert A Scott, Nicholas J Timpson   +2 more
exaly   +2 more sources

Avoiding bias from weak instruments in Mendelian randomization studies

International Journal of Epidemiology, 2011
Stephen Burgess, Simon G Thompson, Thompson Simon G   +2 more
exaly   +2 more sources

Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement.

Journal of the American Medical Association (JAMA), 2021
Importance Mendelian randomization (MR) studies use genetic variation associated with modifiable exposures to assess their possible causal relationship with outcomes and aim to reduce potential bias from confounding and reverse causation.
V. Skrivankova, R. Richmond, B. Woolf, J. Yarmolinsky, N. Davies, S. Swanson, T. VanderWeele, J. Higgins, N. Timpson, Niki L. Dimou, C. Langenberg, Robert M. Golub, E. Loder, V. Gallo, A. Tybjaerg-hansen, G. Davey Smith, M. Egger, J. Richards   +17 more
semanticscholar   +1 more source

Mendelian randomization

Nature Reviews Methods Primers, 2022
Mendelian randomization (MR) is a term that applies to the use of genetic variation to address causal questions about how modifiable exposures influence different outcomes.
E. Sanderson, M. M. Glymour, M. Holmes, Hyunseung Kang, J. Morrison, M. Munafo, T. Palmer, C. Schooling, Chris Wallace, Qingyuan Zhao, G. Davey Smith   +10 more
semanticscholar   +1 more source

COVID-19 is associated with the risk of cardiovascular disease death: A two-sample Mendelian randomization study

Frontiers in Cardiovascular Medicine, 2022
ObjectiveThis study aimed to estimate the causal effects of Coronavirus disease 2019 susceptibility and hospitalization on cardiovascular disease death using two-sample Mendelian randomization analysis.MethodsWe used statistics from a genome-wide ...
Jia-peng Miao, Xiao-yu Gu, Rui-zheng Shi
doaj   +1 more source