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 …

Evaluating the potential role of pleiotropy in Mendelian randomization studies

G Hemani, J Bowden… - Human molecular …, 2018 - academic.oup.com
Pleiotropy, the phenomenon of a single genetic variant influencing multiple traits, is likely
widespread in the human genome. If pleiotropy arises because the single nucleotide …

[HTML][HTML] Guidelines for performing Mendelian randomization investigations: update for summer 2023

S Burgess, GD Smith, NM Davies… - Wellcome open …, 2019 - ncbi.nlm.nih.gov
This paper provides guidelines for performing Mendelian randomization investigations. It is
aimed at practitioners seeking to undertake analyses and write up their findings, and at …

Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

Q Zhao, J Wang, G Hemani, J Bowden, DS Small - 2020 - projecteuclid.org
Statistical inference in two-sample summary-data Mendelian randomization using robust
adjusted profile score Page 1 The Annals of Statistics 2020, Vol. 48, No. 3, 1742–1769 https://doi.org/10.1214/19-AOS1866 …

Recent developments in Mendelian randomization studies

J Zheng, D Baird, MC Borges, J Bowden… - Current epidemiology …, 2017 - Springer
Abstract Purpose of Review Mendelian randomization (MR) is a strategy for evaluating
causality in observational epidemiological studies. MR exploits the fact that genotypes are …

[图书][B] Mendelian randomization: methods for causal inference using genetic variants

S Burgess, SG Thompson - 2021 - books.google.com
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides
thorough coverage of the methods and practical elements of Mendelian randomization …

Inferring causal relationships between risk factors and outcomes from genome-wide association study data

S Burgess, CN Foley, V Zuber - Annual review of genomics and …, 2018 - annualreviews.org
An observational correlation between a suspected risk factor and an outcome does not
necessarily imply that interventions on levels of the risk factor will have a causal impact on …

Understanding the assumptions underlying instrumental variable analyses: a brief review of falsification strategies and related tools

J Labrecque, SA Swanson - Current epidemiology reports, 2018 - Springer
Abstract Purpose of Review Instrumental variable (IV) methods continue to be applied to
questions ranging from genetic to social epidemiology. In the epidemiologic literature …

Understanding the assumptions underlying Mendelian randomization

C de Leeuw, J Savage, IG Bucur, T Heskes… - European Journal of …, 2022 - nature.com
With the rapidly increasing availability of large genetic data sets in recent years, Mendelian
Randomization (MR) has quickly gained popularity as a novel secondary analysis method …

Addressing the credibility crisis in Mendelian randomization

S Burgess, B Woolf, AM Mason, M Ala-Korpela, D Gill - BMC medicine, 2024 - Springer
Background Genome-wide association studies have enabled Mendelian randomization
analyses to be performed at an industrial scale. Two-sample summary data Mendelian …