Chapter title |
Introduction to genetics and genomics in asthma: genetics of asthma.
|
---|---|
Chapter number | 9 |
Book title |
Heterogeneity in Asthma
|
Published in |
Advances in experimental medicine and biology, October 2013
|
DOI | 10.1007/978-1-4614-8603-9_9 |
Pubmed ID | |
Book ISBNs |
978-1-4614-8602-2, 978-1-4614-8603-9
|
Authors |
Mathias RA, Rasika Ann Mathias, Mathias, Rasika Ann |
Abstract |
While asthma is a heterogeneous disease, a strong genetic basis has been firmly established. Rather than being a single disease entity, asthma consists of related, overlapping syndromes [Barnes (Proc Am Thor Soc 8:143-148, 2011)] including three general domains: variable airway obstruction, airway hyper-responsiveness, and airway inflammation with a considerable proportion, but not all, of asthma being IgE-mediated further adding to its heterogeneity. This chapter reviews the approaches to the elucidation of genetics of asthma from the early evidence of familial clustering to the current state of knowledge with genome-wide approaches. The conclusion is that research efforts have led to a tremendous repository of genetic determinants of asthma, most of which fall into the above phenotypic domains of the syndrome. We now look to future integrative approaches of genetics, genomics (Chap. 10), and epigenetics (Chap. 11) to better understand the causal mechanism through which, these genetic loci act in manifesting asthma. |
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Unknown | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 11 | 27% |
Student > Ph. D. Student | 7 | 17% |
Student > Master | 4 | 10% |
Researcher | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 4 | 10% |
Unknown | 10 | 24% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 9 | 22% |
Biochemistry, Genetics and Molecular Biology | 5 | 12% |
Agricultural and Biological Sciences | 4 | 10% |
Immunology and Microbiology | 2 | 5% |
Engineering | 2 | 5% |
Other | 6 | 15% |
Unknown | 13 | 32% |