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. 2016 Jul 26;8:79. doi: 10.1186/s13073-016-0333-9

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© The Author(s). 2016

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. 2 — Ancestry and germline false positives using different analysis strategies. a The use of dbSNP as the primary germline filtration strategy results in a significant increase in false positives among non-white patients (p < 0.001). b A similar increase was observed with the use of 1000 Genomes (p < 0.001). c With larger germline databases such as ExAC, this disparity is mitigated