Calculating statistical power in Mendelian randomization studies.
By M. Brion, K. Shakhbazov, Peter M. Visscher. International Journal of Epidemiology, 2013
1,533 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/35c27551b0b028c72aa2e847c9a3c8d8ad7275b3
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In Genetics
- J. Bowden
- George Davey Smith
- Gibran Hemani
- Stephen Burgess
- Nuala Sheehan
- F. Del Greco M
- Naomi R. Wray
- Peter M. Visscher
In Plant Science
- Naomi R. Wray
- Peter M. Visscher
- George Davey Smith
- Gibran Hemani
- Michael E. Goddard
- Jian Yang
- J. Bowden
- Ben J. Hayes
Citations in the corpus
- Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic (2016, background): “Second, a dramatic rise in the number of variants available for the analysis has led to an increased power for testing causal hypotheses.(6) In this paper we focus on the most common form of summary data MR study, whereby genetic associations with the exposure and outcome are gleaned from independen”
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (2015, background): “If the variants in total explain a larger proportion of the variance in the exposure, this will lead to more precise estimates of causal effects, thus increasing the power for testing causal hypotheses.(6,7) However, an enlarged set of genetic variants is more likely to contain invalid instrument va”
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies (2014, methodology): “By increasing the number of variants, the proportion of variance explained by the instrument increases, thus improving precision in two-stage least-squares regression (Box 1) (50).”
- Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults: A 2-Sample Mendelian Randomization Study (2019, background): “Recent evidence has suggested that physical activity may protect against the risk fordepression.(3-5)However, if the relationship between physical activity and depression is not causal, recommendations to promote physical activity,while beneficial for other health outcomes,would yield limited result”
- Evaluating the potential role of pleiotropy in Mendelian randomization studies (2018, methodology): “Hence, it is tempting to use a similar strategy in MR because better prediction accuracy of the exposure will improve statistical power (77).”
- Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets (2016, methodology): “However, none of these genes met our inclusion criteria for SMR analysis in the brain eQTL data because of the lack of power due to the small sample size of the brain eQTL study.”