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W O Cookson

Publications and source records attributed to W O Cookson.

At least 37 records · Page 2Linked to original sources

A first trial of retrospective collaboration for positional cloning in complex inheritance: assay of the cytokine region on chromosome 5 by the consortium on asthma genetics (COAG).

The central problem of complex inheritance is to map oligogenes for disease susceptibility, integrating linkage and association over samples that differ in several ways. Combination of evidence over multiple samples with 1,037 families supports loci contributing to asthma susceptibility in the cytokine region on 5q [maximum logarithm of odds (lod) = 2.61 near IL-4], but no evidence for atopy. The principal problems with retrospective collaboration on linkage appear to have been solved, providing far more information than a single study. A multipoint lod table evaluated at commonly agreed reference loci is required for both collaboration and metaanalysis, but variations in ascertainment, pedigree structure, phenotype definition, and marker selection are tolerated. These methods are invariant with statistical methods that increase the power of lods and are applicable to all diseases, motivating collaboration rather than competition. In contrast to linkage, positional cloning by allelic association has yet to be extended to multiple samples, a prerequisite for efficient combination with linkage and the greatest current challenge to genetic epidemiology.

Asthma↗

Single nucleotide polymorphism and linkage disequilibrium within the TCR alpha/delta locus.

Much attention is being given to the identification of common disease genes through whole-genome linkage disequilibrium (LD) screens with single nucleotide polymorphisms (SNPs). Simulation studies have suggested that useful LD is unlikely to extend beyond 3 kb, and that > 500,000 SNPs may be needed for comprehensive coverage of the genome. The TCR alpha/delta locus on chromosome 14q contains many V, J and D segments that combine with constant domains to produce either an alpha or a delta chain of the T cell receptor. Multiple SNPs have been recognized within the V segments, and it has been suggested that variation within the locus may modify the course of autoimmune and allergic diseases. We have examined LD within an 850 kb section of the TCR alpha/delta locus on chromosome 14q by typing 24 V gene segment SNPs and two microsatellites. One hundred and fifty-nine nuclear and extended families were genotyped in order to derive haplotypes, and the pair-wise LD between SNPs was investigated in 600 haplotypes from unrelated individuals (the parents). The mean extent of useful LD was much greater than suggested by simulations: significant LD was relatively common at 250 kb and was detectable beyond 500 kb. The mean extent of LD was twice as far between alleles of low frequency than between common alleles. The distribution of LD was highly irregular and concentrated in three distinct islands. The results differ from those obtained by simulation, and if they are typical of other genomic regions, suggest that the minimum number of markers necessary for comprehensive LD mapping may be reduced by at least an order of magnitude.

Alleles↗

Pedigree tests of transmission disequilibrium.

High-resolution mapping is essential for the positional cloning of complex disease genes. In outbred populations, linkage disequilibrium is expected to extend for short distances and could provide a powerful fine-mapping tool. Current family-based association tests use nuclear family members to define allelic transmission and controls, but ignore other types of relatives. Here we construct a general approach for scoring allelic transmission that accommodates families of any size and uses all available genotypic information. Family data allows for the construction of an expected genotype for every non-founder, and orthogonal deviates from this expectation are a measure of allelic transmission. These allelic transmission scores can be used to extend previously described tests of linkage disequilibrium for dichotomous or quantitative traits. Some of these tests are illustrated, together with a permutation framework for estimating exact significance levels. Simulation studies are used to investigate power and error rates of the approach. As a practical application, the method is used to investigate the relationship between circulating angiotensin-1 converting enzyme (ACE) levels and polymorphisms in the ACE gene using previously published data.

Alleles↗

Familial aggregation and heritability of asthma-associated quantitative traits in a population-based sample of nuclear families.

Asthma is a common, genetically complex human disease. Elevated serum immunoglobulin E (IgE) levels, elevated blood eosinophil counts, variably reduced spirometric measures and increased airway responsiveness (AR) are physiological traits which are characteristic of asthma. We investigated the genetic and environmental components of variance of serum total and specific IgE levels, blood eosinophil counts, the forced expiratory volume in one second (FEV1) and forced vital capacity (FVC), and AR in an Australian population-based sample of 232 Caucasian nuclear families. With the exception of FVC levels, all traits were closely associated with clinical asthma in this population. Loge total serum IgE levels had a narrow-sense heritability (h2N) of 47.3% (SE = 10. 0%). Specific serum IgE levels against house dust mite and Timothy grass, measured as a RAST Index, had a h2N of 33.8% (SE = 7.3%). FEV1 levels had a h2N of 6.1% (SE = 11.6%), whilst FVC levels had a h2N of 30.6% (SE = 26.8%). AR, quantified by the loge dose-response slope to methacholine (DRS), had a h2N of 30.3% (SE = 12.3%). These data are consistent with the existence of important genetic determinants of the pathophysiological traits associated with asthma. Our study suggests that total and specific serum IgE levels, blood eosinophil counts and airways responsiveness to inhaled agonist are appropriate phenotypes for molecular investigations of the genetic susceptibility to asthma.

Adolescent↗

A European study on the genetics of mite sensitization.

BACKGROUND: Sensitization to mite allergens represents a prominent feature of atopy and an important predictor of bronchial asthma. OBJECTIVE: It was the intention of this study to define genetic loci linked to mite sensitization because these could represent the genetic basis of the important atopic component of asthma. METHODS: We studied a multiethnic white population of 99 families, including 224 sib pairs sensitized to Dermatophagoides pteronyssinus. A genome-wide candidate-region search was performed that covered potential asthma and atopy regions. RESULTS: As for nonparametric linkage (NPL) analysis, 14 of the candidate regions showed evidence for linkage (NPL > 2.0), and 4 of them showed prominent linkage (NPL > 3.0). However, there were substantial ethnic differences. Maximizing the LOD score analysis identified candidate regions with suspected dominant and recessive mode of inheritance. Furthermore, genetic imprinting models provided significant evidence for linkage in the 8p23 region and revealed potential maternal imprinting. The regions found are distinct to those in asthma searches that have been found to be linked to asthma, as well to other inflammatory diseases. In addition, we could not find linkage to the HLA region. By different cutoff points of the phenotype definition, the IL cluster showed evidence of being linked to the degree of sensitization rather than to sensitization per se. CONCLUSION: The results indicate that the genetic basis of the atopic component of asthma is different from that of the inflammatory component. Furthermore, it seems reasonable to assume that specific sensitizations are influenced by distinct genetic variants leading to their initiation versus those leading to their enhancement.

Allergens↗

A general test of association for quantitative traits in nuclear families.

High-resolution mapping is an important step in the identification of complex disease genes. In outbred populations, linkage disequilibrium is expected to operate over short distances and could provide a powerful fine-mapping tool. Here we build on recently developed methods for linkage-disequilibrium mapping of quantitative traits to construct a general approach that can accommodate nuclear families of any size, with or without parental information. Variance components are used to construct a test that utilizes information from all available offspring but that is not biased in the presence of linkage or familiality. A permutation test is described for situations in which maximum-likelihood estimates of the variance components are biased. Simulation studies are used to investigate power and error rates of this approach and to highlight situations in which violations of multivariate normality assumptions warrant the permutation test. The relationship between power and the level of linkage disequilibrium for this test suggests that the method is well suited to the analysis of dense maps. The relationship between power and family structure is investigated, and these results are applicable to study design in complex disease, especially for late-onset conditions for which parents are usually not available. When parental genotypes are available, power does not depend greatly on the number of offspring in each family. Power decreases when parental genotypes are not available, but the loss in power is negligible when four or more offspring per family are genotyped. Finally, it is shown that, when siblings are available, the total number of genotypes required in order to achieve comparable power is smaller if parents are not genotyped.

Genetics, Population↗

GOLD--graphical overview of linkage disequilibrium.

SUMMARY: We describe a software package that provides a graphical summary of linkage disequilibrium in human genetic data. It allows for the analysis of family data and is well suited to the analysis of dense genetic maps. AVAILABILITY: http://www.well.ox.ac.uk/asthma/GOLD CONTACT: goncalo@well.ox.ac.uk

Computer Graphics↗

Genetics of asthma and allergic disease.

Atopic (allergic) asthma is the most common disease of childhood and is strongly genetic in origin. Many genome-wide screens for asthma and its associated traits have now been carried out, and genetic linkage has been consistently identified in several regions. It is probable that these loci contain major genes influencing atopy and asthma. Candidate genes have already been identified from the cytokine cluster on chromosome 5 and the MHC on chromosome 6. These complex regions contain more than one susceptibility locus for allergic disease. Other regions do not contain obvious candidate genes, and positional cloning of these loci is likely to identify novel disease pathways. Parent-of-origin effects are prominent at some of the loci and some also show linkage to other inflammatory immune diseases. Several single gene disorders are associated with allergic disease and on occasion are also linked to the same chromosomal regions. The positional cloning of asthma genes is now feasible.

Asthma↗

Genomic approaches to understanding asthma.

Asthma is the most common chronic childhood disease in developed nations, and it is a complex disease that has high social and economic costs. Asthma and its associated intermediate phenotypes are under a substantial degree of genetic control. The genetic aetiology of asthma offers a means of better understanding its pathogenesis and, thus, improving preventive strategies, diagnostic tools, and therapies. Considerable effort and expense have been expended in attempts to detect genetic loci contributing to asthma susceptibility, and extensive candidate gene studies and a number of whole-genome screens have been undertaken. This article reviews the current state of knowledge of the genetics of asthma, with a focus on genomic approaches to understanding allergic diseases.

Animals↗

Adult familial cryptogenic fibrosing alveolitis in the United Kingdom.

BACKGROUND: Familial cases of cryptogenic fibrosing alveolitis (CFA) have previously been reported; however, the prevalence and genetic background of this disorder are not known. The clinical and epidemiological findings of 25 families identified within the UK are reported. METHODS: Adult pulmonary physicians in the UK were asked to identify all families under their care in which two or more individuals had been diagnosed with fibrosing alveolitis of unknown cause. A detailed structured questionnaire was sent to each proband to delineate possible environmental/occupational exposures and to obtain complete pedigree data. Physicians were also asked to provide clinical and diagnostic information. RESULTS: Twenty five families were identified comprising 67 cases. Suitable data for analysis were available for 21 families (57 cases). The male:female ratio was 1. 75:1 (p<0.05). A high resolution computed tomographic (HRCT) scan was performed in 93% and a diagnosis of CFA confirmed on biopsy specimens in 32%. The mean age at diagnosis was 55.5 (2.5) years. Fifty percent of cases were ever smokers and 18% had been diagnosed as asthmatic. Exposure to known fibrogenic agents was recorded by 36% of patients. Clinical signs/symptoms and histological findings were indistinguishable from non-familial cases. CONCLUSIONS: This study represents the largest cohort of familial CFA cases reported to date and confirms a prevalence of 1.34 cases per 10(6) in the UK population. Although rare, such cases represent an important subgroup in which a genetic susceptibility to pulmonary fibrosis is particularly evident. Familial patients are younger at diagnosis but otherwise indistinguishable from non-familial cases. The mode of inheritance is as yet unclear but a number of genetic loci are likely to be involved and are the subject of ongoing studies.

Adult↗

Independent inheritance of serum immunoglobulin E concentrations and airway responsiveness.

Elevated serum Immunoglobulin E (IgE) levels and increased airway responsiveness (AR) are correlated traits that are characteristic of asthma. It is not known to what extent these traits arise from distinct or shared genetic determinants. We investigated the genetic and environmental components of variance of serum total and specific IgE levels and AR in an Australian population-based sample of 232 Caucasian nuclear families. The inter-relationships of the genetic determinants of these traits were also investigated. Log(e) total serum IgE levels had a narrow-sense heritability (h(2)(N)) of 47.3% (SE = 10.0%). Specific serum IgE levels against house dust mite and timothy grass, measured as a RAST Index, ad a h(2)(N) of 33.8% (SE = 7.3%). AR, quantified by the log(e) dose-response slope to methacholine (DRS), had a h(2)(N) of 30.0% (SE = 12.3%). Extended modeling demonstrated an approximate 70% overlap in the genetic determinants of total and specific serum IgE levels. The genetic determinants of serum IgE levels and AR exhibited less than 30% sharing. These data are consistent with the existence of multiple genetic determinants of the pathophysiologic traits associated with asthma, and suggest that AR is genetically distinct from atopy. These results have implications for gene discovery programs.

Adolescent↗

Genetic variance components analysis for binary phenotypes using generalized linear mixed models (GLMMs) and Gibbs sampling.

The common complex diseases such as asthma are an important focus of genetic research, and studies based on large numbers of simple pedigrees ascertained from population-based sampling frames are becoming commonplace. Many of the genetic and environmental factors causing these diseases are unknown and there is often a strong residual covariance between relatives even after all known determinants are taken into account. This must be modelled correctly whether scientific interest is focused on fixed effects, as in an association analysis, or on the covariances themselves. Analysis is straightforward for multivariate Normal phenotypes, but difficulties arise with other types of trait. Generalized linear mixed models (GLMMs) offer a potentially unifying approach to analysis for many classes of phenotype including multivariate Normal traits, binary traits, and censored survival times. Markov Chain Monte Carlo methods, including Gibbs sampling, provide a convenient framework within which such models may be fitted. In this paper, Bayesian inference Using Gibbs Sampling (a generic Gibbs sampler; BUGS) is used to fit GLMMs for multivariate Normal and binary phenotypes in nuclear families. BUGS is easy to use and readily available. We motivate a suitable model structure for Normal phenotypes and show how the model extends to binary traits. We discuss parameter interpretation and statistical inference and show how to circumvent a number of important theoretical and practical problems that we encountered. Using simulated data we show that model parameters seem consistent and appear unbiased in smaller data sets. We illustrate our methods using data from an ongoing cohort study.

Binomial Distribution↗

Genetics of asthma and inflammation: the status.

Genome-wide screens are consistently finding linkage between asthma-associated traits and specific chromosomal loci. Several loci coincide with linkages to other inflammatory diseases, suggesting the presence of common pathways in their pathogenesis. Candidate-gene studies have found an association between a CD14 polymorphism and IgE levels, suggesting a mechanism for the increased prevalence of allergic disease. A polymorphism in Fc epsilon RI-beta shows parent-of-origin effects when associated with severe infantile eczema, further illustrating the complexity of gene-environment effects on the developing immune system.

Asthma↗

Recent advances in the genetics of allergy and asthma.

Asthma is a common condition that results from the interaction of an unknown number of genes with environmental factors. About 10% of children have asthma, usually as part of a syndrome of atopy, which is characterized by the presence of allergy, asthma, seasonal rhinitis and eczema, and tends to occur in familial clusters. The incidence of asthma is lower in adults (5%) and a significant proportion is seen without an atopic background. The prevalence of asthma has increased substantially over the past decades, particularly in the western world. Allergy and asthma are not inherited as single-gene disorders and do not show a simple pattern of inheritance. Environmental and genetic factors interact in a complex fashion to produce disease susceptibility and expression. Here, we describe the recent advances in the understanding of the inherited susceptibility to asthma and atopy and discuss their potential implications.

Adult↗

Association of FcepsilonR1-beta polymorphisms with asthma and associated traits in Australian asthmatic families.

BACKGROUND: Asthma is a genetically complex disease, and is characterized by elevated serum immunoglobulin E (IgE) levels, elevated blood eosinophil counts and increased airway responsiveness. Polymorphisms in the beta subunit of the high affinity receptor for IgE (FcepsilonR1-beta) have been previously associated with these phenotypes and with an increased risk of asthma. OBJECTIVE: To investigate the association of all known bi-allelic polymorphisms in FcepsilonR1-beta to asthma and quantitative traits associated with asthma in a selected sample of Australian asthmatic children and their nuclear families. METHODS: Australian Caucasian nuclear families (n = 134 subjects) were recruited on the basis of a child proband with current, severe, symptomatic asthma. The quantitative traits assessed included serum levels of total IgE and specific IgE to house dust mite and mixed grass, blood eosinophil counts and the dose-response slope of the forced expiratory volume in 1 s to histamine provocation. RESULTS: Neither the Leu181 nor the E237G mutations were detected in this population. Allele B of RsaI intron 2 (RsaI_in2*B) was significantly associated with physician-diagnosed asthma (ever) (P = 0.002). Alleles of both the RsaI_in2 and RsaI exon 7 (RsaI_ex7) polymorphisms were significantly associated with loge total serum IgE levels and the combined RAST index. RsaI_ex7 was also associated with loge blood eosinophil counts. These associations were independent of age, sex and familial correlations. CONCLUSION: This study supports a role for the FcepsilonR1-beta gene or a nearby gene in the pathogenesis of asthma.

Adolescent↗

A genome-wide screen for asthma-associated quantitative trait loci in a mouse model of allergic asthma.

Asthma is the most common illness of childhood, affecting one child in seven in the UK. Asthma has a genetic basis, but genetic studies of asthma in humans are confounded by uncontrolled environmental factors, varying penetrance and phenotypic pleiotropy. An animal model of asthma would offer controlled exposure, limited and consistent genetic variation, and unlimited size of sibships. Following immunization and subsequent challenge with ovalbumin, the Biozzi BP2 mouse shows features of asthma, including airway inflammation, eosinophil infiltration and non-specific bronchial responsiveness. In order to identify genetic loci influencing these traits, a cross was made between BP2 and BALB/c mice, and a genome-wide screen carried out in the F2progeny of the F1intercross. Five potentially linked loci were identified, four of which corresponded to human regions of syntenic homology that previously have shown linkage to asthma-associated traits.

Airway Resistance↗

Extended tumour necrosis factor/HLA-DR haplotypes and asthma in an Australian population sample.

BACKGROUND: Tumour necrosis factor (TNF) is a potent pro-inflammatory cytokine which is prominent in asthmatic airways. TNF shows genetic variations in secretion which are linked to polymorphisms in the TNF gene complex and the surrounding major histocompatibility (MHC) locus. These polymorphisms do not seem to be themselves functionally important. In these circumstances, the identification of disease associated haplotypes (combination of alleles on individual chromosomes) may narrow the search for polymorphisms which alter gene function. METHODS: TNF-308, LTalpha NcoI, and HLA-DRB1 polymorphisms were investigated for association with asthma, bronchial responsiveness, and medication use in 1004 subjects in 230 families from a general population sample. RESULTS: The common LTalpha NcoI*1/TNF-308*2/HLA-DRB1*03 haplotype, which was present in 11% of unrelated individuals, was weakly associated with asthma (OR = 1.38, p = 0.016, corrected for familial correlation). The rarer LTalpha NcoI*1/TNF-308*2/HLA-DRB1*02 haplotype, which was found in 0.6% of unrelated subjects, was more strongly associated with asthma (OR = 6.68, p = 0.002). This haplotype also showed association with bronchial hyperresponsiveness (OR = 21.9, p = 0. 0000) and the use of inhaled or oral steroids (OR 8.0, p = 0.04). CONCLUSIONS: The results of this study show only two extended TNF/HLA-DR haplotypes to be associated with asthma. The search for functional alleles responsible for an increased risk of asthma should concentrate on the LTalpha NcoI*1/TNF-308*2/HLA-DRB1*02 haplotype.

Adolescent↗