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. 2018 Sep 11;9:3686. doi: 10.1038/s41467-018-05940-9

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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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Fig. 1 — Data analysis workflow and Manhattan plot for GCF and serum IL-1β. a Analysis Workflow schema for GCF IL-1β QTL illustrating genomic and phenotype association of GCF-IL1β trait. b Manhattan Plot for Top Quartile of GCF IL-1β, as compared to lower 3 quartiles. All 22 chromosomes are shown, plotting the -log10 (p values) for each of the 656,292 high-quality SNPS using ProbABEL. For GCF-IL-1β the dominant locus emerges in chr2 with no other genomic regions showing SNPs that cross the significance threshold of p = 5 × 10^–8, as shown as a horizontal reference line. The insert panel represents the Manhattan plot for the serum IL-1β for the same subjects. Although no serum IL-1β SNPs reach GWA significance, the top three are identified in chr 3(rs7627767), 5(rs13188793) and 16 (rs6565189)