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.

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Auteurs principaux: 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
Langue:EN
Publié: Nature Portfolio 2021
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Science
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Accès en ligne:https://doaj.org/article/6c029971d51f400b8a1f25c6554953b1
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https://doaj.org/article/6c029971d51f400b8a1f25c6554953b1

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