Transcriptome-wide association studies: a view from Mendelian randomization
نویسندگان
چکیده
منابع مشابه
Selecting instruments for Mendelian randomization in the wake of genome-wide association studies
Mendelian randomization (MR) studies typically assess the pathogenic relevance of environmental exposures or disease biomarkers, using genetic variants that instrument these exposures. The approach is gaining popularity-our systematic review reveals a greater than 10-fold increase in MR studies published between 2004 and 2015. When the MR paradigm was first proposed, few biomarker- or exposure-...
متن کاملMendelian randomization in the era of genomewide association studies.
BACKGROUND Observational epidemiology has been instrumental in identifying modifiable causes of common diseases, and, in turn, substantially impacting public health. Spurious associations in observational epidemiologic studies are most commonly caused by confounding due to social, behavioral, or environmental factors and can therefore be difficult to control. They may also be due to reverse cau...
متن کاملCalculating statistical power in Mendelian randomization studies.
In Mendelian randomization (MR) studies, where genetic variants are used as proxy measures for an exposure trait of interest, obtaining adequate statistical power is frequently a concern due to the small amount of variation in a phenotypic trait that is typically explained by genetic variants. A range of power estimates based on simulations and specific parameters for two-stage least squares (2...
متن کاملRecent Developments in Mendelian Randomization Studies
Purpose of Review Mendelian randomization (MR) is a strategy for evaluating causality in observational epidemiological studies. MR exploits the fact that genotypes are not generally susceptible to reverse causation and confounding, due to their fixed nature and Mendel's First and Second Laws of Inheritance. MR has the potential to provide information on causality in many situations where random...
متن کاملMendelian randomization studies in coronary artery disease.
Epidemiological research over the last 50 years has discovered a plethora of biomarkers (including molecules, traits or other diseases) that associate with coronary artery disease (CAD) risk. Even the strongest association detected in such observational research precludes drawing conclusions about the causality underlying the relationship between biomarker and disease. Mendelian randomization (...
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ژورنال
عنوان ژورنال: Quantitative Biology
سال: 2020
ISSN: 2095-4689,2095-4697
DOI: 10.1007/s40484-020-0207-4