Cargando…
Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
Mendelian randomization (MR) has emerged as a major tool for the investigation of causal relationship among traits, utilizing results from large-scale genome-wide association studies. Bias due to horizontal pleiotropy, however, remains a major concern. We propose a novel approach for robust and effi...
Autores principales: | Qi, Guanghao, Chatterjee, Nilanjan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486646/ https://www.ncbi.nlm.nih.gov/pubmed/31028273 http://dx.doi.org/10.1038/s41467-019-09432-2 |
Ejemplares similares
-
Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates
por: Rees, Jessica M. B., et al.
Publicado: (2019) -
Reciprocal causation mixture model for robust Mendelian randomization analysis using genome-scale summary data
por: Liu, Zipeng, et al.
Publicado: (2023) -
Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
por: Burgess, Stephen, et al.
Publicado: (2015) -
Estimation of Causal Effect of Age at Menarche on Pubertal Height Growth Using Mendelian Randomization
por: Jo, Eun Jae, et al.
Publicado: (2022) -
Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants
por: Burgess, Stephen, et al.
Publicado: (2017)