[HTML][HTML] Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data

J Li, C Li, Y Huang, P Guan, D Huang, H Yu… - Journal of Translational …, 2022 - Springer
Ophthalmic epidemiology is concerned with the prevalence, distribution and other factors
relating to human eye disease. While observational studies cannot avoid confounding …

Mendelian randomisation and the goal of inferring causation from observational studies in the vision sciences

D Plotnikov, JA Guggenheim - Ophthalmic and Physiological …, 2019 - Wiley Online Library
Purpose Randomised controlled trials (RCT s) allow reliable causal inferences to be drawn
regarding the effectiveness of specific interventions. However, they are expensive to carry …

[HTML][HTML] Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization

V Zuber, JM Colijn, C Klaver, S Burgess - Nature communications, 2020 - nature.com
Modern high-throughput experiments provide a rich resource to investigate causal
determinants of disease risk. Mendelian randomization (MR) is the use of genetic variants as …

Phenome-wide Mendelian randomisation analysis identifies causal factors for age-related macular degeneration

TH Julian, J Cooper-Knock, S MacGregor, H Guo… - Elife, 2023 - elifesciences.org
Background: Age-related macular degeneration (AMD) is a leading cause of blindness in
the industrialised world and is projected to affect> 280 million people worldwide by 2040 …

Mendelian randomization: applications and limitations in epigenetic studies

CL Relton, G Davey Smith - Epigenomics, 2015 - Taylor & Francis
Commentary Relton & Davey Smith as an intermediate phenotype that lie between genetic
variation and disease-related phenotype [12]. As with intermediate phenotypes in an MR …

Mendelian randomization: concepts and scope

RC Richmond, GD Smith - Cold Spring …, 2022 - perspectivesinmedicine.cshlp.org
Mendelian randomization (MR) is a method of studying the causal effects of modifiable
exposures (ie, potential risk factors) on health, social, and economic outcomes using genetic …

[HTML][HTML] Causal inference on neuroimaging data with Mendelian randomisation

B Taschler, SM Smith, TE Nichols - NeuroImage, 2022 - Elsevier
While population-scale neuroimaging studies offer the promise of discovery and
characterisation of subtle risk factors, massive sample sizes increase the power for both …

Mendelian randomization applied to neurology: promises and challenges

E Gagnon, I Daghlas, L Zagkos, M Sargurupremraj… - Neurology, 2024 - AAN Enterprises
The Mendelian randomization (MR) paradigm allows for causal inferences to be drawn
using genetic data. In recent years, the expansion of well-powered publicly available genetic …

Mendelian randomization: genetic anchors for causal inference in epidemiological studies

G Davey Smith, G Hemani - Human molecular genetics, 2014 - academic.oup.com
Observational epidemiological studies are prone to confounding, reverse causation and
various biases and have generated findings that have proved to be unreliable indicators of …

Mendelian randomization

S Grover, F Del Greco M, CM Stein… - Statistical Human Genetics …, 2017 - Springer
Confounding and reverse causality have prevented us from drawing meaningful clinical
interpretation even in well-powered observational studies. Confounding may be attributed to …