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Introduction to Mendelian randomization

open access: yesAnnals of Clinical Epidemiology
Mendelian randomization (MR), i.e. instrumental variable analysis using genetic instruments, is an approach that incorporates population genetics to improve causal inference.
S. A. Yeung   +3 more
semanticscholar   +3 more sources

Mendelian Randomization: Concepts and Scope. [PDF]

open access: yesCold Spring Harbor Perspectives in Medicine, 2021
Mendelian randomization (MR) is a method of studying the causal effects of modifiable exposures (i.e., potential risk factors) on health, social, and economic outcomes using genetic variants associated with the specific exposures of interest. MR provides
R. Richmond, G. Davey Smith
semanticscholar   +4 more sources

Mendelian Randomization Dictionary

open access: yes, 2019
pdf of Lawlor DA, Wade K, et al. A Mendelian Randomization dictionary: Useful definitions and descriptions for undertaking, understanding and interpreting Mendelian Randomization ...
Professor Deborah A Lawlor
openaire   +2 more sources

Pleiotropy-robust Mendelian randomization [PDF]

open access: yesInternational Journal of Epidemiology, 2016
Abstract Background The potential of Mendelian Randomization studies is rapidly expanding due to (i) the growing power of GWAS meta-analyses to detect genetic variants associated with several exposures, and (ii) the increasing availability of these genetic variants in large-scale surveys.
van Kippersluis, Hans   +1 more
openaire   +3 more sources

MendelianRandomization v0.5.0: updates to an R package for performing Mendelian randomization analyses using summarized data [version 2; peer review: 1 approved, 2 approved with reservations]

open access: yesWellcome Open Research, 2020
The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data. In this manuscript, we describe functions that have been added to the package or
Jim R. Broadbent   +5 more
doaj   +1 more source

Causal relationship between obesity and iron deficiency anemia: a two-sample Mendelian randomization study

open access: yesFrontiers in Public Health, 2023
BackgroundObservational studies have suggested an association between obesity and iron deficiency anemia, but such studies are susceptible to reverse causation and residual confounding.
Tingting Wang   +15 more
doaj   +1 more source

Dairy Consumption and Body Mass Index Among Adults: Mendelian Randomization Analysis of 184802 Individuals from 25 Studies [PDF]

open access: yes, 2018
BACKGROUND—Associations between dairy intake and body mass index (BMI) have been inconsistently observed in epidemiological studies, and the causal relationship remains ill defined.
Mendelian Randomization of Dairy Consumption Working Group
core   +2 more sources

Mendelian Randomization [PDF]

open access: yesJAMA, 2009
Despite several observational studies showing that lipoprotein(a), or Lp(a), is associated with myocardial infarction (MI)1, 2, only circumstantial evidence exists regarding the causal nature of this association. Observational epidemiological studies, even with a sound prospective design, can provide hints to disease pathogenesis when the effect size ...
George Thanassoulis   +1 more
openaire   +1 more source

Causal effects of physical activity on the risk of overall ovarian cancer: A Mendelian randomization study

open access: yesDigital Health, 2023
Objective Inconsistent results were reported on the association of physical activity with ovarian cancer. However, given the limitations of confounders and inverse causation, the validity of the association remained unclear. Therefore, we conducted a two-
Jing Wang   +3 more
doaj   +1 more source

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

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