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Review Using Single Nucleotide Polymorphisms As a Means to Understanding the Pathophysiology of Asthma Lyle J Palmer*† and William OCM Cookson‡

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Review Using Single Nucleotide Polymorphisms As a Means to Understanding the Pathophysiology of Asthma Lyle J Palmer*† and William OCM Cookson‡ Available online http://respiratory-research.com/content/2/2/102 Review Using single nucleotide polymorphisms as a means to understanding the pathophysiology of asthma Lyle J Palmer*† and William OCM Cookson‡ *Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA †Case Western Reserve University, Cleveland, Ohio, USA ‡The Wellcome Trust Centre for Human Genetics, Oxford, UK Correspondence: Lyle Palmer, The Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA. Tel: +1 617 525 0872; fax: +1 617 525 0958; e-mail: [email protected] Received: 9 January 2001 Respir Res 2001, 2:102–112 Revisions requested: 24 January 2001 This article may contain supplementary data which can only be found Revisions received: 1 February 2001 online at http://respiratory-research.com/content/2/2/102 Accepted: 9 February 2001 © 2001 BioMed Central Ltd Published: 8 March 2001 (Print ISSN 1465-9921; Online ISSN 1465-993X) 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. Keywords: association studies, asthma, genetics, review, SNP Introduction eosinophil counts [9,10]. These intermediate physiological Asthma is the most serious of the atopic diseases. It is the phenotypes are themselves highly heritable and are the most common chronic childhood disease in developed subject of much research into the genetics of asthma nations [1] and carries a very substantial direct and indi- [11,12]. rect economic cost worldwide [2]. Asthma has become an epidemic, affecting more than 155 million individuals in the The prevalence of asthma and other allergic diseases has developed world. The cost of treating the disease in the risen over the past two decades in developed nations USA approximates US$6 billion dollars a year [3]. The [13,14]. During the same period, the genetic etiology of worldwide market for asthma medication is currently worth asthma has been increasingly emphasized as a method of US$5.5 billion a year to the pharmaceutical industry [4]. improving our understanding of its pathogenesis, with the ultimate goal of improving preventive strategies, diagnos- Asthma is a genetically complex disease that is associated tic tools, and therapies [12,15]. Considerable effort and with the familial syndrome of atopy and increased levels of expense are currently being expended in attempts to total serum IgE [5,6]. Asthma and atopy are also closely detect genetic loci contributing to asthma susceptibility associated with increased nonspecific responsiveness of [16–19]. Concomitant technical developments in molecu- airways to spasmogens [7,8] and elevated blood lar genetics and in the use of polymorphisms derived IL = interleukin; OR = odds ratio; RFLP = restriction fragment length polymorphism; SNPs = single nucleotide polymorphisms. Available online http://respiratory-research.com/content/2/2/102 directly from DNA sequence have occurred, and extensive in DNA sequence. The widespread availability of human catalogues of DNA sequence variants across the human DNA sequence data now means that DNA variants can be genome have begun to be constructed. This review sum- detected directly and related to disease phenotype. Impor- marizes current and potential future contributions of one tantly, most polymorphism is likely not to alter gene struc- type of DNA sequence variant, single nucleotide polymor- ture or function in any way and might therefore not be phisms (SNPs), to our understanding of asthma patho- directly associated with any change in phenotype [24]. commentary physiology. Tests of genetic association using SNPs are therefore based largely on linkage disequilibrium. Problems arise Gene discovery with SNPs: the state of the art from the now well-described general limitations of investi- Two types of study have been widely employed in an gating genotype–phenotype associations in complex attempt to identify genetic determinants of complex dis- human diseases involving multiple interacting genetic and eases: positional cloning and candidate gene association environmental factors [25,26]. studies. Positional cloning begins with the identification of a chromosomal region that is transmitted within families Genetic polymorphism arises from mutation. Different along with the disease phenotype of interest. This phe- classes of polymorphism are generally named on the basis nomenon is described as genetic linkage. Positional of the type of mutation from which they result. The sim- cloning has been extremely useful in the identification of plest class of polymorphism derives from a single base genes responsible for diseases with simple Mendelian mutation that substitutes one nucleotide for another. inheritance, such as cystic fibrosis [20]. The application of Recently, such polymorphism has been called a single linkage analysis to complex disorders without obvious nucleotide polymorphism, or SNP. It is important to realize review Mendelian inheritance such as asthma has been much that previous nomenclature was based on the method less successful so far, because complex diseases tend to used to detect a particular SNP. For instance, SNPs be influenced by genetic heterogeneity, environmental detected via the identification of restriction enzyme sites phenocopies, incomplete penetrance, genotype–environ- were called ‘restriction fragment length polymorphisms’ ment interactions, and multilocus effects [12,21]. (RFLPs) [27]. Association studies rely on the detection of polymor- In addition to RFLPs, other types of SNP that do not phisms in candidate genes and on the demonstration that create or destroy a restriction site are detectable by creat- particular alleles are associated with one or more pheno- ing restriction sites via primer design in the polymerase typic traits. However, analyses of specific alleles suggest- chain reaction, by oligonucleotide probing, or by direct ing a statistical association between an allele and a sequencing [28]. The frequency of SNPs across the phenotypic trait are due to one of three situations [22]: human genome is higher than for any other type of poly- first, the finding could be due to chance or artefact, such morphism (such as repeat sequences or insertion/deletion as confounding or selection bias; second, the allele might polymorphisms) [29]. Precise estimates of SNP frequency reports be in linkage disequilibrium with an allele at another locus are difficult to determine and often vary across different that directly affects the expression of the phenotype; third, populations and genomic regions. the allele itself might be functional and directly affect the expression of the phenotype. Although linkage analysis can in theory use SNPs, almost all linkage analyses undertaken so far for asthma and other The biological principle underlying the association analysis complex human diseases have used variable numbers of of polymorphisms not directly involved in disease patho- tandem repeat polymorphisms (‘microsatellites’) with a genesis is that of linkage disequilibrium (the second situa- large number of alleles (that is, repeat lengths). SNPs tion above). Linkage disequilibrium arises from the have not yet been used more extensively in linkage analy- co-inheritance of alleles at loci that are in close physical ses because they contain a relatively low level of informa- proximity on an individual chromosome. Alleles at different tion in comparison with microsatellite markers. In addition, loci that are in linkage disequilibrium on a particular chro- the expense of genotyping the larger number of SNPs mosome form distinct haplotypes. Haplotypes with a required to give equivalent or better genome-wide statisti- primary research greater frequency than would be expected from random cal power as a panel of microsatellite markers is high, and association can arise by population admixture, natural there remain unresolved issues relating to appropriate sta- selection, genetic drift, or new mutation combined with tistical analysis. population ‘bottlenecks’ [23]. Unfortunately, linkage analysis and the use of maps Genetic polymorphism designed for linkage analysis studies have not proved Initial studies of polymorphism in human genetics relied on powerful enough to detect genes influencing many the study of physiological and biochemical variation (eg common multifactorial diseases. This is largely because blood group antigens) that follow indirectly from variation linkage analysis lacks the power to detect genes with Respiratory Research Vol 2 No 2 Palmer and Cookson small to moderate effects [25,30]. One of the limitations of enhancers, and intergenic regions, allowing them
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