Cargando…
Mendelian randomization with fine‐mapped genetic data: Choosing from large numbers of correlated instrumental variables
Mendelian randomization uses genetic variants to make causal inferences about the effect of a risk factor on an outcome. With fine‐mapped genetic data, there may be hundreds of genetic variants in a single gene region any of which could be used to assess this causal relationship. However, using too...
Autores principales: | Burgess, Stephen, Zuber, Verena, Valdes‐Marquez, Elsa, Sun, Benjamin B, Hopewell, Jemma C |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725678/ https://www.ncbi.nlm.nih.gov/pubmed/28944551 http://dx.doi.org/10.1002/gepi.22077 |
Ejemplares similares
-
Relative effects of LDL-C on ischemic stroke and coronary disease: A Mendelian randomization study
por: Valdes-Marquez, Elsa, et al.
Publicado: (2019) -
A key risk indicator approach to central statistical monitoring in multicentre clinical trials: method development in the context of an ongoing large-scale randomized trial
por: Elsa, Valdés-Márquez, et al.
Publicado: (2011) -
Use of allele scores as instrumental variables for Mendelian randomization
por: Burgess, Stephen, et al.
Publicado: (2013) -
A review of instrumental variable estimators for Mendelian randomization
por: Burgess, Stephen, et al.
Publicado: (2015) -
Assessment of the causal relevance of ECG parameters for risk of atrial fibrillation: A mendelian randomisation study
por: Gajendragadkar, Parag Ravindra, et al.
Publicado: (2021)