Open Access Correction

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

Rudi Alberts1, Lu Lu2,3, Robert W Williams2 and Klaus Schughart1*

Author Affiliations

1 Department of Infection Genetics, Helmholtz Centre for Infection Research & University of Veterinary Medicine Hannover, Inhoffenstr. 7, D-38124 Braunschweig, Germany

2 Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, Tennessee, USA

3 Jiangsu Key Laboratory of Neuroregeneration, Nantong University, Nantong, China

For all author emails, please log on.

Respiratory Research 2012, 13:5 doi:10.1186/1465-9921-13-5


The electronic version of this article is the complete one and can be found online at: http://respiratory-research.com/content/13/1/5


Received:6 January 2012
Accepted:19 January 2012
Published:19 January 2012

© 2012 Alberts et al; licensee BioMed Central Ltd.

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.

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.

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. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL