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. 2016 Oct 21;7:44. doi: 10.1186/s13229-016-0103-y

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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 — Distributions of rare variant scores (RVS) and common variant scores (CVS). The distributions of the natural logarithm of genes’ RVS and genes’ CVS are depicted as histograms (a, b, respectively), and as a function of variant counts (c, d for rare and common variants, respectively). Both RVS and CVS are significantly correlated with the number of variants per gene (r = 0.84 and r = 0.70, respectively; p < 0.0001). e, f The obvious association between the number of variants and the number of publication per gene (r = 0.70 and r = 0.69, respectively; p < 0.0001)