Cargando…
The MR-Base platform supports systematic causal inference across the human phenome
Results from genome-wide association studies (GWAS) can be used to infer causal relationships between phenotypes, using a strategy known as 2-sample Mendelian randomization (2SMR) and bypassing the need for individual-level data. However, 2SMR methods are evolving rapidly and GWAS results are often...
Autores principales: | Hemani, Gibran, Zheng, Jie, Elsworth, Benjamin, Wade, Kaitlin H, Haberland, Valeriia, Baird, Denis, Laurin, Charles, Burgess, Stephen, Bowden, Jack, Langdon, Ryan, Tan, Vanessa Y, Yarmolinsky, James, Shihab, Hashem A, Timpson, Nicholas J, Evans, David M, Relton, Caroline, Martin, Richard M, Davey Smith, George, Gaunt, Tom R, Haycock, Philip C |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976434/ https://www.ncbi.nlm.nih.gov/pubmed/29846171 http://dx.doi.org/10.7554/eLife.34408 |
Ejemplares similares
-
Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases
por: Zheng, Jie, et al.
Publicado: (2020) -
A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
por: Richardson, Tom G., et al.
Publicado: (2020) -
An atlas of polygenic risk score associations to highlight putative causal relationships across the human phenome
por: Richardson, Tom G, et al.
Publicado: (2019) -
Systematic Mendelian randomization framework elucidates hundreds of CpG sites which may mediate the influence of genetic variants on disease
por: Richardson, Tom G, et al.
Publicado: (2018) -
Erratum to: EpiGraphDB: a database and data mining platform for health data science
por: Liu, Yi, et al.
Publicado: (2021)