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. 2019 Feb 18;21(9):1958–1968. doi: 10.1038/s41436-019-0457-6

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

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Fig. 4 — Preventive genomic screening of young adults at a per-test cost of AUD$200 would potentially be cost-saving to the health system. Probability sensitivity analysis was used to calculate the cost-effectiveness of preventive genomic screening in early adulthood for seven conditions concurrently, at a per-test cost of AUD$200, versus targeted testing. Y-axis shows differences in investment (cost) in $AUDM, and X-axis shows changes in disability-adjusted life years (DALYs). Cost-effectiveness is represented as incremental cost-effectiveness ratio (ICER), or cost/DALY gained. ICER under the willingness-to-pay threshold of AUD$50,000/DALY is considered cost-effective; under AUD$0/DALY is considered cost-saving. Models were run iteratively using 2000 simulations for each scenario, with ±25% uncertainty ranges, with each iteration represented as a separate dot.