PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics

BACKGROUND: Identifying phenotypic correlations between complex traits and diseases can provide useful etiological insights. Restricted access to much individual-level phenotype data makes it difficult to estimate large-scale phenotypic correlation across the human phenome. Two state-of-the-art meth...

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Detalles Bibliográficos
Autores principales: Zheng, Jie, Richardson, Tom G, Millard, Louise A C, Hemani, Gibran, Elsworth, Benjamin L, Raistrick, Christopher A, Vilhjalmsson, Bjarni, Neale, Benjamin M, Haycock, Philip C, Smith, George Davey, Gaunt, Tom R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6109640/
https://www.ncbi.nlm.nih.gov/pubmed/30165448
http://dx.doi.org/10.1093/gigascience/giy090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6109640/
https://www.ncbi.nlm.nih.gov/pubmed/30165448
http://dx.doi.org/10.1093/gigascience/giy090

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