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Series GSE35888 Query DataSets for GSE35888
Status Public on May 02, 2012
Title Mapping Clinical and Expression QTL in a Sex-Dependent Effect of Host Susceptibility to Influenza H3N2/HK/1/68-MA20
Organism Mus musculus
Experiment type Expression profiling by array
Summary Seasonal influenza outbreaks and recurrent influenza pandemics present major challenges to public health. By studying immunological responses to influenza in different host species, it may be possible to discover common mechanisms of susceptibility in response to various influenza strains. This could lead to novel therapeutic targets with wide clinical application. Using a mouse-adapted strain of influenza (A/HK/1/68-MA20 [H3N2]), we produced a mouse model of severe influenza (p-flu) that reproduces the hallmark high viral load and overexpression of cytokines associated with susceptibility to p-flu in humans. We mapped genetic determinants of the host response using a panel of 29 closely related mouse strains (AcB/BcA panel of recombinant congenic strains) created from influenza-susceptible A/J and influenza-resistant C57BL/6J (B6) mice. Combined clinical quantitative trait loci (cQTL) and lung expression QTL (eQTL) mapping identified candidate genes for two sex-specific QTLs on chromosomes 2 and 17. The former includes the previously described Hc gene, a deficit of which is associated with the susceptibility phenotype in females. The latter includes the phospholipase gene Pla2g7 and Tnfrsf21, a member of the tumor necrosis factor receptor superfamily. Confirmation of the gene underlying the chromosome 17 QTL may reveal new strategies for influenza treatment.
 
Overall design To identify eQTLs, we reanalyzed lung expression data previously obtained by Lee et al (2006) on MGU74Av2 microarrays (Affymetrix) for 54 mice (13BcA, 12AcB, B6 and A/J mice in duplicate) using Custom CDFv12 to reorganize oligonucleotide probes based on the latest genome and transcriptome information. We inferred an A/J or B6 strain of origin for each gene based on the genotype of surrounding markers with a call rate of 96.7%. If a gene was in between A/J and B6 markers for a given RCS, it was coded as NA. Expression values were normalized using the Robust Multi-array Analysis (RMA) for Affymetrix gene chips. To define the association between differentially expressed genes and genotypes, ANOVA was conducted on a per-gene basis using the linear model Expression ~ DSO + BG + DSO*BG, where background (BG) and donor strain of origin (DSO) were coded as binary phenotypes corresponding to A/J or B6. The cutoff for genome-wide significance was computed using the Benjamini–Hochberg correction.

For reference, the paper by Lee (2006):
http://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/pubmed/16449383
 
Contributor(s) Boivin GA, Pothlichet J, Skamene E, Brown EG, Loredo-Osti JC, Vidal SM, Lee PD, Ge B, Greenwood CM, Sinnett D, Fortin Y, Brunet S, Fortin A, Takane M, Pastinen T, Hallett M, Hudson TJ, Sladek R
Citation(s) 22427645
Submission date Feb 16, 2012
Last update date Feb 18, 2018
Contact name Rob Sladek
E-mail(s) rob.sladek@mcgill.ca
Organization name McGill University
Street address 740 ave Dr. Penfield
City Montreal
State/province QC
ZIP/Postal code H3A1A4
Country Canada
 
Platforms (1)
GPL81 [MG_U74Av2] Affymetrix Murine Genome U74A Version 2 Array
Samples (54)
GSM877024 BcA81, biological replicate 1
GSM877025 BcA69, biological replicate 1
GSM877026 BcA73, biological replicate 1
Relations
BioProject PRJNA151945

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE35888_RAW.tar 144.4 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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