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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
core   +2 more sources

Mendelian randomization

open access: yesNature 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. The principles of MR are based on Mendel's laws of inheritance and instrumental variable estimation methods, which enable the inference of causal effects in the presence of ...
Eleanor Sanderson   +10 more
openaire   +5 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

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

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 a more robust understanding of the influence of these exposures on outcomes because germline ...
Richmond, Rebecca, Davey Smith, George
openaire   +3 more sources

Unraveling the directional link between adiposity and inflammation: a bidirectional mendelian randomization approach [PDF]

open access: yes, 2010
<b>Context</b>: Associations between adiposity and circulating inflammation markers are assumed to be causal, although the direction of the relationship has not been proven. <b>Objective</b>: The aim of the study was to explore
Jukema, J.W.   +19 more
core   +1 more source

Methodological Challenges in Mendelian Randomization [PDF]

open access: yesEpidemiology, 2014
We give critical attention to the assumptions underlying Mendelian randomization analysis and their biological plausibility. Several scenarios violating the Mendelian randomization assumptions are described, including settings with inadequate phenotype definition, the setting of time-varying exposures, the presence of gene-environment interaction, the ...
Tyler J, VanderWeele   +3 more
openaire   +2 more sources

Clustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiology. [PDF]

open access: yes, 2007
BACKGROUND: In conventional epidemiology confounding of the exposure of interest with lifestyle or socioeconomic factors, and reverse causation whereby disease status influences exposure rather than vice versa, may invalidate causal interpretations of ...
Timpson, NJ   +23 more
core   +1 more source

The basic principles underlying Mendelian randomization.

open access: yes, 2021
Fig 1A is the three assumptions for Mendelian randomization analysis. Fig 1B is the basic principles of bi-directional Mendelian randomization. SNP is the single nucleotide polymorphism and IV is the instrumental variable.
Zhenxing Tu (11576846)   +3 more
core   +1 more source

Mendelian randomization in the bone field [PDF]

open access: yesBone, 2019
Identification of causative risk factors amenable for modification is essential for the prevention and treatment of osteoporosis. Observational studies have identified associations between several potentially modifiable risk factors and osteoporosis. However, observational studies are susceptible to confounding, reverse causation bias, and measurement ...
Larsson, Susanna C   +2 more
openaire   +3 more sources

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