SMetABF: A rapid algorithm for Bayesian GWAS meta-analysis with a large number of studies included

Bayesian methods are widely used in the GWAS meta-analysis. But the considerable consumption in both computing time and memory space poses great challenges for large-scale meta-analyses. In this research, we propose an algorithm named SMetABF to rapidly obtain the optimal ABF in the GWAS meta-analys...

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Detalles Bibliográficos
Autores principales: Sun, Jianle, Lyu, Ruiqi, Deng, Luojia, Li, Qianwen, Zhao, Yang, Zhang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947622/
https://www.ncbi.nlm.nih.gov/pubmed/35286307
http://dx.doi.org/10.1371/journal.pcbi.1009948

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947622/
https://www.ncbi.nlm.nih.gov/pubmed/35286307
http://dx.doi.org/10.1371/journal.pcbi.1009948

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