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Article

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

PLoS computational biology - 1 Mar 2022

Sun Jianle, Lyu Ruiqi, Deng Luojia, Li Qianwen, Zhao Yang, Zhang Yue

Abstract excerpt

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-analysis, where shotgun stochastic search (SSS) is introduced to improve the Bayesian GWAS meta-analysis framework,...

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Identifiers

PMID: 35286307
DOI: 10.1371/journal.pcbi.1009948
PMCID: PMC8947622

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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