Genome-wide linkage analysis using genetic variance components of alcohol dependency-associated censored and continuous traits.

We used variance-components analysis to investigate the additive genetic effects regulating some of the phenotypes included in the GAW11 data set. Variance-components models were fitted using Gibbs sampling methods in BUGS v 0.6. Linkage analyses for both multivariate normal (MvN) traits and right censored survival times (age-of-onset) were based upon standard Haseman-Elston identity-by-descent sib-pair methods applied directly to traits showing evidence of substantial additive genetic determination (residualized for any important covariates) and to the estimated sigma A2 residuals for those traits. Harm avoidance behavior (TPQ subscale) showed evidence of linkage to markers on chromosomes 1, 13, and 18. P300 levels at the Fp1 site showed evidence of linkage to markers on chromosomes 2, 3, 9, 12, 17, 19, and 20. Platelet monoamine oxidase B (MAOB) levels showed evidence of linkage to D4S1651. The age-of-onset for ALDX1 in those over 30 years old showed evidence of linkage to markers on chromosomes 1, 6, 14, and 15. The age-of-onset for the more strictly defined ALDX2 in those over 30 years old showed evidence of linkage to markers on chromosomes 7 and 14. These results are consistent with a complex, multifactorial susceptibility to alcohol dependency.

Polymorphisms in the beta2-adrenoreceptor gene are associated with decreased airway responsiveness.

BACKGROUND: There are a number of candidate genes thought to play a role in the development of asthma. Polymorphisms at amino acid positions 16 (arginine to glycine) and 27 (glutamine to glutamic acid) of the beta2-adrenoreceptor (B2AR) gene are known to be functionally relevant and have been associated with more severe forms of asthma, nocturnal asthma and decreased airway responsiveness in asthmatic subjects. OBJECTIVE: To determine if these polymorphisms contribute to the development of asthma by investigating the associations between the polymorphisms at amino acid positions 16 and 27 of the B2AR gene and asthma-related parameters in a large, phenotypically well-characterized population which was unselected for asthma. METHODS: Subjects (n = 332) were characterized using physiological assessments, immuno-logical data and information obtained from questionnaire. PCR was used to generate a 229 base pair fragment spanning the mutations of interest. Genotype was determined using allele-specific oligonucleotide hybridization and confirmed in 10% of the samples by direct sequencing. Multivariate analysis of the association between genotype and phenotype was then undertaken. RESULTS: Homozygotes for Glu27 were significantly less responsive to histamine than Gln27 homozygotes. In addition, Arg16 homozygotes were more likely to 'wheeze during a cold', in comparison with Gly16 homozygotes. However, there was no association between either polymorphism and physician-diagnosed asthma, eczema, skin reactivity to common allergens or total and specific serum IgE levels. The two polymorphisms were found to be in significant linkage disequilibrium. CONCLUSION: The polymorphism at position 27 was associated with decreased airway responsiveness in the study population and the polymorphism at position 16 was associated with increased wheeze during respiratory infection, but neither was associated with physician-diagnosed asthma or any of the other variables considered.

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.

Association of polymorphisms in the beta2-adrenoreceptor gene with higher levels of parasitic infection.

The diminishing incidence of parasitic infection in westernised societies has been suggested to result in an increased prevalance of asthma. Asthma is a polygenic disease and genome screens have shown that genes on chromosome 5q31-33 are strongly linked to the disease. The gene for the beta2-adrenoreceptor is located in this region and two polymorphisms have been identified that result in amino acid changes at positions 16 (ArgGly) and 27 (GlnGlu). To determine whether these polymorphisms influence asthma and parasitic infection, a genotype/phenotype study has been performed on a cohort of 126 children from Coche Island in Venezuela. There is a high incidence of asthma on the island and intestinal helminthiasis is endemic. Genotyping for both polymorphisms was carried out by using the polymerase chain reaction and allele-specific oligonucleotide hybridisation. Genotype frequencies in this cohort were consistent with other studies and both polymorphisms were in significant linkage disequilibrium. Individuals who were homozygous for Arg16 had significantly higher levels of specific IgE to Ascaris lumbricoides (P=0.002), significantly higher A. lumbricoides egg counts (P<0.001) and significantly larger wheal sizes following skin-prick testing with A. lumbricoides allergen (P=0.008). There was no association between either polymorphism and total serum IgE or asthma in this population. A combination of mast cell degranulation and the lung migratory phase of A. lumbricoides larvae may result in bronchoconstriction in infected individuals. These results suggest that the Gly 16 allele confers resistance to high levels of parasitic infection in this population. An alternative explanation for the association is that it may be the result of linkage disequilibrium with other genes in the chromosome 5q31-33 region.