Title |
From expression pattern to genetic association in asthma and asthma-related phenotypes
|
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Published in |
BMC Research Notes, November 2012
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DOI | 10.1186/1756-0500-5-630 |
Pubmed ID | |
Authors |
Vanessa T Vaillancourt, Martine Bordeleau, Michel Laviolette, Catherine Laprise |
Abstract |
Asthma is a complex disease characterized by hyperresponsiveness, obstruction and inflammation of the airways. To date, several studies using different approaches as candidate genes approach, genome wide association studies, linkage analysis and genomic expression leaded to the identification of over 300 genes involved in asthma pathophysiology. Combining results from two studies of genomic expression, this study aims to perform an association analysis between genes differently expressed in bronchial biopsies of asthmatics compared to controls and asthma-related phenotypes using the same French-Canadian Caucasian population. |
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Mexico | 1 | 20% |
Argentina | 1 | 20% |
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Australia | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
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Members of the public | 2 | 40% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
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France | 1 | 7% |
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Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 4 | 29% |
Student > Ph. D. Student | 2 | 14% |
Other | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Bachelor | 1 | 7% |
Other | 2 | 14% |
Unknown | 3 | 21% |
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Environmental Science | 2 | 14% |
Biochemistry, Genetics and Molecular Biology | 2 | 14% |
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Psychology | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 21% |