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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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6c029971d51f400b8a1f25c6554953b1
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spelling	oai:doaj.org-article:6c029971d51f400b8a1f25c6554953b12021-12-02T14:23:30ZModel-based assessment of replicability for genome-wide association meta-analysis10.1038/s41467-021-21226-z2041-1723https://doaj.org/article/6c029971d51f400b8a1f25c6554953b12021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21226-zhttps://doaj.org/toc/2041-1723In 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.Daniel McGuireYu JiangMengzhen LiuJ. Dylan WeissenkampenScott EckertLina YangFang ChenGWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN)Arthur BergScott VriezeBibo JiangQunhua LiDajiang J. LiuNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Model-based assessment of replicability for genome-wide association meta-analysis
description	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.
format	article
author	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
author_facet	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
author_sort	Daniel McGuire
title	Model-based assessment of replicability for genome-wide association meta-analysis
title_short	Model-based assessment of replicability for genome-wide association meta-analysis
title_full	Model-based assessment of replicability for genome-wide association meta-analysis
title_fullStr	Model-based assessment of replicability for genome-wide association meta-analysis
title_full_unstemmed	Model-based assessment of replicability for genome-wide association meta-analysis
title_sort	model-based assessment of replicability for genome-wide association meta-analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6c029971d51f400b8a1f25c6554953b1
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Model-based assessment of replicability for genome-wide association meta-analysis

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