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  • Correction
  • Open Access

Correction to: Systematic characterization of germline variants from the DiscovEHR study endometrial carcinoma population

  • 1,
  • 2,
  • 2,
  • 3,
  • 3,
  • 2,
  • 2,
  • 3,
  • 3,
  • 1,
  • 2, 4, 5, 6,
  • 3Email author and
BMC Medical Genomics201912:65

https://doi.org/10.1186/s12920-019-0523-6

  • Received: 8 May 2019
  • Accepted: 8 May 2019
  • Published:

The original article was published in BMC Medical Genomics 2019 12:59

Miller et al. BMC Medical Genomics (2019) 12:59.

https://doi.org/10.1186/s12920-019-0504-9

Following publication of the original article [1], the authors reported that Fig. 1 was not correctly processed during the production process. The correct Fig. 1 is given below.

The publishers apologise for the inconvenience caused. The original article [1] has been corrected.

Fig. 1
Fig. 1

Waterfall plot of all genes with pathogenic variants. Waterfall plot of all EMCA samples that contained rare variants that passed the filter from Additional file 1: Figure S1. The main heatmap contains columns which represent an individual participant (N = 86), and rows that represent genes, while the color that fills in the cell represents the type of variant present for a specific participant in a specific gene. The heatmap below illustrates that histology, cancer stage and patient survival status, each column represents a different participant. “Undiff” refers to undifferentiated histology. The graph to the left shows the percentage of participants who have a rare variant in a gene, relative to all participants with variants, while the bar plot above the main graph represents the variant burden for each participant

Notes

Declarations

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.

Authors’ Affiliations

(1)
Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
(2)
Biomedical & Translational Informatics Institute, Geisinger Health System, Danville, PA 17822, USA
(3)
Weis Center for Research, Geisinger Medical Center, Danville, PA 17822, USA
(4)
Huck Institute of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania, PA 16802, USA
(5)
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
(6)
Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, USA

Reference

  1. Miller, et al. Systematic characterization of germline variants from the DiscovEHR study endometrial carcinoma population. BMC Med Genet. 2019;12:59. https://doi.org/10.1186/s12920-019-0504-9.View ArticleGoogle Scholar

Copyright

© The Author(s). 2019

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