| Title |
Detection of loci for allergic asthma using SMXA recombinant inbred strains of mice
|
|---|---|
| Published in |
Immunogenetics, October 2012
|
| DOI | 10.1007/s00251-012-0656-7 |
| Pubmed ID | |
| Authors |
Tamio Ohno, Masakazu Okamoto, Toru Hara, Naozumi Hashimoto, Kazuyoshi Imaizumi, Miyoko Matsushima, Masahiko Nishimura, Kaoru Shimokata, Yoshinori Hasegawa, Tsutomu Kawabe |
| Abstract |
Asthma is regarded as a multifactorial inflammatory disorder arising as a result of inappropriate immune responses in genetically susceptible individuals to common environmental antigens. However, the precise molecular basis is unknown. To identify genes for susceptibility to three asthma-related traits, airway hyperresponsiveness (AHR), eosinophil infiltration, and allergen-specific serum IgE levels, we conducted a genetic analysis using SMXA recombinant inbred (RI) strains of mice. Quantitative trait locus analysis detected a significant locus for AHR on chromosome 17. For eosinophil infiltration, significant loci were detected on chromosomes 9 and 16. Although we could not detect any significant loci for allergen-specific serum IgE, analysis of consomic strains showed that chromosomes 17 and 19 carried genes that affected this trait. We detected genetic susceptibility loci that separately regulated the three asthma-related phenotypes. Our results suggested that different genetic mechanisms regulate these asthma-related phenotypes. Genetic analyses using murine RI and consomic strains enhance understanding of the molecular mechanisms of asthma in human. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 29% |
| Student > Ph. D. Student | 1 | 14% |
| Lecturer | 1 | 14% |
| Student > Master | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 29% |
| Medicine and Dentistry | 2 | 29% |
| Immunology and Microbiology | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Unknown | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2012.
All research outputs
#15,255,201
of 22,684,168 outputs
Outputs from Immunogenetics
#950
of 1,201 outputs
Outputs of similar age
#110,349
of 176,091 outputs
Outputs of similar age from Immunogenetics
#4
of 5 outputs
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