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Erratum to: Genome-wide analysis of the mouse lung transcriptome reveals novel molecular gene interaction networks and cell-specific expression signatures

The Original Article was published on 01 December 2011

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After publication of our article [1], we became aware of a typographical error in the Methods section, which concerned the statement about the p-value of an LRS of 18 or higher in our QTL analysis. Below is the first part of the corresponding chapter with the corrected p-value (marked in bold). We apologize for any inconvenience.

QTL Mapping and expression analyses

All probe sets were mapped using standard interval mapping methods at 1 cM intervals (~2 Mb) along all autosomes and the X chromosome. This procedure generates estimates of linkage between variation in transcript expression levels and chromosomal location. The entire set of values can be used to construct a set of QTL maps for all chromosomes (except Chr Y and the mitochondrial genome) in which position is plotted on the x-axis and the strength of linkage--the likelihood ratio statistic (LRS) or log of the odds ratio (LOD)-is plotted on the y-axis. An LRS of 18 or higher is significant at a genome-wide p-value of < 0.05.

References

  1. 1.

    Alberts R, Lu L, Williams RW, Schughart K: Genome-wide analysis of the mouse lung transcriptome reveals novel molecular gene interaction networks and cell-specific expression signatures. Respir Res. 2011, 12: 61-10.1186/1465-9921-12-61.

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Correspondence to Klaus Schughart.

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The online version of the original article can be found at 10.1186/1465-9921-12-61

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Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Alberts, R., Lu, L., Williams, R.W. et al. Erratum to: Genome-wide analysis of the mouse lung transcriptome reveals novel molecular gene interaction networks and cell-specific expression signatures. Respir Res 13, 5 (2012). https://doi.org/10.1186/1465-9921-13-5

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