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Using single nucleotide polymorphisms as a means to understanding the pathophysiology of asthma

Overview of attention for article published in Respiratory Research, March 2001
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Title
Using single nucleotide polymorphisms as a means to understanding the pathophysiology of asthma
Published in
Respiratory Research, March 2001
DOI 10.1186/rr45
Pubmed ID
Authors

Lyle J Palmer, William OCM Cookson

Abstract

Asthma is the most common chronic childhood disease in the developed nations, and is a complex disease that has high social and economic costs. Studies of the genetic etiology of asthma offer a way of improving our understanding of its pathogenesis, with the goal of improving preventive strategies, diagnostic tools, and therapies. Considerable effort and expense have been expended in attempts to detect specific polymorphisms in genetic loci contributing to asthma susceptibility. Concomitantly, the technology for detecting single nucleotide polymorphisms (SNPs) has undergone rapid development, extensive catalogues of SNPs across the genome have been constructed, and SNPs have been increasingly used as a method of investigating the genetic etiology of complex human diseases. This paper reviews both current and potential future contributions of SNPs to our understanding of asthma pathophysiology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Switzerland 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 30%
Student > Ph. D. Student 5 17%
Student > Doctoral Student 3 10%
Professor 2 7%
Lecturer 1 3%
Other 4 13%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 27%
Medicine and Dentistry 5 17%
Biochemistry, Genetics and Molecular Biology 3 10%
Computer Science 2 7%
Mathematics 1 3%
Other 3 10%
Unknown 8 27%