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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Corrections

Correction: A Computational Method to Classify Variants of Uncertain Significance Using Functional Assay Data With Application to BRCA1

DOI: 10.1158/1055-9965.EPI-13-0861 Published November 2013
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In this article (Cancer Epidemiol Biomarkers Prev 2011;20:1078–88), which was published in the June 2011 issue of Cancer Epidemiology, Biomarkers & Prevention (1), all the negative values in the “loge posterior odds” column of Table 2 were incorrectly typeset as positive values. The correct table is shown below. The publisher regrets the error.

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Table 2.

Table of variant-specific summaries: variant name (column 1), prior classification (column 2), posterior probability that the variant is protein damaging (column 3), and natural logarithm of the posterior odds in favor of the variant being protein damaging (column 4)

  • ©2013 American Association for Cancer Research.

Reference

  1. 1.↵
    1. Iversen ES Jr.,
    2. Couch FJ,
    3. Goldgar DE,
    4. Tavtigian SV,
    5. Monteiro ANA
    . A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1. Cancer Epidemiol Biomarkers Prev 2011;20:1078–88.
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Cancer Epidemiology Biomarkers & Prevention: 22 (11)
November 2013
Volume 22, Issue 11
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Correction: A Computational Method to Classify Variants of Uncertain Significance Using Functional Assay Data With Application to BRCA1
Cancer Epidemiol Biomarkers Prev November 1 2013 (22) (11) 2135-2137; DOI: 10.1158/1055-9965.EPI-13-0861

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Correction: A Computational Method to Classify Variants of Uncertain Significance Using Functional Assay Data With Application to BRCA1
Cancer Epidemiol Biomarkers Prev November 1 2013 (22) (11) 2135-2137; DOI: 10.1158/1055-9965.EPI-13-0861
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