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. 2018 Feb 13;8:2925. doi: 10.1038/s41598-018-21301-4

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Overview of the network-based boosting of GWAS signals by araGWAB. First, araGWAB takes GWAS summary statistics (SNP P-values) (A) and then assigns them to genes by chromosomal proximity (B). The significance of the phenotype-association for each gene is based on the assigned P-value, which is overlaid on a co-functional network of Arabidopsis genes, AraNet (C). The significance of each gene is boosted by guilt-by-association, resulting in additional candidate genes (e.g., Gene D) for the phenotype (D).