Model-based assessment of replicability for genome-wide association meta-analysis

Model-based assessment of replicability for genome-wide association meta-analysis

In genome-wide association meta-analysis, it is often difficult to find an independent dataset of sufficient size to replicate associations. Here, the authors have developed MAMBA to calculate the probability of replicability based on consistency between datasets within the meta-analysis.

Bibliographic Details
Main Authors: Daniel McGuire, Yu Jiang, Mengzhen Liu, J. Dylan Weissenkampen, Scott Eckert, Lina Yang, Fang Chen, GWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN), Arthur Berg, Scott Vrieze, Bibo Jiang, Qunhua Li, Dajiang J. Liu
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21226-z

Internet

https://doi.org/10.1038/s41467-021-21226-z

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