Open Access

Erratum to: Genotype distribution-based inference of collective effects in genome-wide association studies: insights to age-related macular degeneration disease mechanism

  • Hyung Jun Woo1,
  • Chenggang Yu1,
  • Kamal Kumar1,
  • Bert Gold2 and
  • Jaques Reifman1Email author
BMC Genomics201617:752

https://doi.org/10.1186/s12864-016-3095-2

Received: 30 August 2016

Accepted: 15 September 2016

Published: 22 September 2016

The original article was published in BMC Genomics 2016 17:695

Erratum

During the publication process, the published version of the original article [1] had a duplicate image of Additional File 3 in place of Fig. 2. The graphics for Fig. 2 have now been restored in the original article [1].
Fig. 2

Inference accuracy, sensitivity, and specificity of pairwise and collective inference on simulated data. a–b The mean square error and AUC versus sample sizes using pairwise test (PW), logistic regression (LR), and the three methods of DDA (MF, PL, and EE). Simulated genotypes were generated for 10 SNPs with parameters h¯ y = (−1, −0.3), ¯ J = (0, 0.1), σ h = σ J = 0.2 (see Methods). c-d Analogous results for 20 SNPs with h¯ y = (−1, −1 + h), ¯ J = (0, J), and σ h = σ J = 0.2. We set h = 0.7, J = 0.5 for the first 4 SNPs and their interactions and h = J = 0 otherwise. e-f Sensitivity and specificity of disease-associated interaction pairs. Simulated data were generated with parameters h¯ = (−1, −1), ¯ J = (0.01, 0.01), σh = 0.1, σJ = 0.05 for m = 10 SNPs, except the interaction between the first two SNPs, for which we set ¯ J = (0.01, 0.11). Interaction p-values for all pairs were calculated either by PW or by regularization to determine λ followed by the construction of null distribution under λ (Additional file 5: Figure S4) for LR, PL, and EE. The distribution of p-values for the true causal interaction pair and those of non-causal pair (geometric mean) are shown in e and f, respectively. The dominant model was used in all cases

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)
Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command
(2)
Laboratory of Genomic Diversity, National Cancer Institute

Reference

  1. Woo, et al. Genotype distribution-based inference of collective effects in genome-wide association studies: insights to age-related macular degeneration disease mechanism. BMC Genomics. 2016;17:695. doi:10.1186/s12864-016-2871-3.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© The Author(s). 2016

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