Results 11 to 20 of about 4,362,965 (333)
Mendelian randomization and type 2 diabetes [PDF]
Cardiovascular Drugs and Therapy, 2016 Type 2 diabetes (T2DM) is a common, complex disease that poses a substantial burden on individual and population health, but we have relatively limited understanding of its underlying pathophysiology.
Swerdlow, DI
core +6 more sources
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. 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 ...
E. Sanderson +10 more
semanticscholar +5 more sources
Usefulness of Mendelian Randomization in Observational Epidemiology [PDF]
International Journal of Environmental Research and Public Health, 2010 Mendelian randomization refers to the random allocation of alleles at the time of gamete formation. In observational epidemiology, this refers to the use of genetic variants to estimate a causal effect between a modifiable risk factor and an outcome of interest.
Murielle Bochud, Valentin Rousson
openalex +6 more sources
Understanding the Assumptions Underlying Mendelian Randomization [PDF]
European Journal of Human Genetics, 2021 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. Leveraging genetic variants as instrumental variables, MR can be used to estimate the causal effects of one phenotype on another even when experimental research is not ...
Christiaan de Leeuw +4 more
openaire +5 more sources
Pleiotropy-robust Mendelian randomization [PDF]
International Journal of Epidemiology, 2016 AbstractBackgroundThe 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.
Hans van Kippersluis +4 more
openaire +5 more sources
The next step in Mendelian randomization
eLife, 2023 Expanding a statistical approach called Mendelian randomization to include multiple variables may help researchers to identify new molecular causes of specific traits.
Matthias Weith, Andreas Beyer
openaire +3 more sources
Mendelian Randomization: Concepts and Scope [PDF]
Cold 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 ...
George Davey Smith +2 more
openaire +6 more sources
Mendelian randomization in the bone field [PDF]
Bone, 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
Digital 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
The role of estimation in Mendelian randomization: should Mendelian randomization investigations provide estimates? [PDF]
AJE AdvAbstract Mendelian randomization (MR) makes causal claims by treating genetic variation in an analogous way to randomization in a clinical trial. MR investigations can be viewed as analogous to a randomized encouragement design, in that genetic variants do not determine the precise level of an exposure, but increase liability to it.
Woolf B, Burgess S.
europepmc +3 more sources