Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data

Mendelian randomization (MR) has been increasingly applied for causal inference with observational data by using genetic variants as instrumental variables (IVs). However, the current practice of MR has been largely restricted to investigating the total causal effect between two traits, while it wou...

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Detalles Bibliográficos
Autores principales: Lin, Zhaotong, Xue, Haoran, Pan, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10231771/
https://www.ncbi.nlm.nih.gov/pubmed/37200398
http://dx.doi.org/10.1371/journal.pgen.1010762

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10231771/
https://www.ncbi.nlm.nih.gov/pubmed/37200398
http://dx.doi.org/10.1371/journal.pgen.1010762

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