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

  • Rudi Alberts1,

    Affiliated with

    • Lu Lu2, 3,

      Affiliated with

      • Robert W Williams2 and

        Affiliated with

        • Klaus Schughart1Email author

          Affiliated with

          Respiratory Research201213:5

          DOI: 10.1186/1465-9921-13-5

          Received: 6 January 2012

          Accepted: 19 January 2012

          Published: 19 January 2012

          Text

          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.

          Authors’ Affiliations

          (1)
          Department of Infection Genetics, Helmholtz Centre for Infection Research & University of Veterinary Medicine Hannover
          (2)
          Department of Anatomy and Neurobiology, University of Tennessee Health Science Center
          (3)
          Jiangsu Key Laboratory of Neuroregeneration, Nantong University

          References

          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.PubMedView Article

          Copyright

          © Alberts et al; licensee BioMed Central Ltd. 2012

          This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​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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