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. 2019 Aug 28;21:195. doi: 10.1186/s13075-019-1983-y

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — Analysis workflow. Fluorescence signals from a genome-wide SNP array with 2.5 million probes were analyzed to profile CNV in patients with RA. CNVs overlapped across the study subjects were segmented at all CNV boundaries. In the example shown in the figure, CNVs overlapped with different boundaries (determined by fluorescence signals at SNPs) among three subjects were divided into three segments. Different boundaries and SNPs are indicated by dash lines and orange dots, respectively. Associations between CNV segments and response to the treatments were then tested using ΔDAS28 and ΔCDAI