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. 2020 Jun 15;15:10. doi: 10.1186/s12263-020-00669-x

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© The Author(s) 2020

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Predicted probability of classification into each subgroup of triglyceride responsiveness following EPA or DHA supplementation. The predicted probability of classification into each of the subgroups of triglyceride responsiveness (R/NR/AR) according to the genetic risk score is represented by curves. Predicted probabilities were assessed by ordinal (a) and binary (b) logistic regression, adjusted for age, sex, and body mass index. The observed density distribution of participants according to their genetic risk score is illustrated by horizontal violin plots, which are independent of the y-axis. a All the participants are included in the genetic risk model: (1) responders (R), (2) non-responders (NR), and (3) adverse responders (AR). b Only R (upper violin) and AR (lower violin) participants are included in the genetic risk model (NR participants are excluded). The 95% confidence intervals are highlighted in blue