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Biomedical subjects

P R Burton

Publications and source records attributed to P R Burton.

At least 19 recordsLinked to original sources

Hemizygous p16(INK4A) deletion in pediatric acute lymphoblastic leukemia predicts independent risk of relapse.

The genes at the INK4A/ARF locus at 9p21 are frequently involved in human cancer. Virtually all p16(INK4A) exon 2 (henceforth called p16) inactivation in pediatric acute lymphoblastic leukemia (ALL) occurs by gene deletion. The results of this study illustrate that real-time quantitative polymerase chain reaction is capable of detecting gene deletion in primary patient specimens with a precision not previously achieved by conventional methods. Importantly, this assay includes the detection of hemizygous deletions. The study revealed, strikingly, that the risk ratio for relapse for hemizygous deletion compared with no deletion was 6.558 (P =.00687) and for homozygous deletion was 11.558 (P =.000539). These results confirm and extend the authors' previous findings that homozygous deletion of p16 in pediatric ALL patients is an independent prognostic indicator of outcome from therapy.

Actuarial Analysis↗

Gibbs sampling-based segregation analysis of asthma-associated quantitative traits in a population-based sample of nuclear families.

Asthma is a common, complex human disease. Elevated serum immunoglobulin E (IgE) levels, elevated blood eosinophil counts, and increased airway responsiveness are physiological traits that are characteristic of asthma. Few studies have investigated major gene effects for these traits in a population-based sample. Further, it is not known if any putative major genes may be common to two or more of these traits. We investigated the existence and nature of major genes modulating asthma-associated quantitative traits in an Australian population-based sample of 210 Caucasian nuclear families. The sharing of these major genes was also investigated. Segregation analysis was based upon a Markov Chain Monte Carlo (Gibbs sampling) approach as implemented in the program BUGS v0.6. All models included adjustment for age, height, tobacco smoke exposure, and gender. The segregation of total IgE levels, blood eosinophil counts, and dose-response slope (DRS) of methacholine challenge were all consistent with major loci at which a recessive allele acted to increase or decrease the phenotype. The respective estimated frequencies of the recessive alleles were 68% (total IgE), 10% (blood eosinophil count), and 27% (DRS). Extensive modelling suggested that the major loci controlling total serum IgE levels, blood eosinophil counts, and airway responsiveness represent different genes. These data provide evidence, for the first time, of the existence of at least 3 distinct genetic pathways involving major gene effects on physiological traits closely associated with asthma. These results have implications for gene discovery programs.

Adolescent↗

Airway responsiveness in early infancy predicts asthma, lung function, and respiratory symptoms by school age.

Asthma is the most common chronic childhood disease in developed nations. Little is known about the relationship between airway responsiveness in infancy and the development of asthma later in life. The relationship of airway responsiveness at 1 mo with asthma, atopy, lower respiratory symptoms, and lung function at 6 yr of age was investigated prospectively in 95 white children from a randomly ascertained birth cohort. Baseline spirometry, airway responsiveness to histamine, and skin reactivity to common allergens were assessed at the age of 1 mo and 6 yr. Total serum immunoglobulin E (IgE) was measured from cord blood and at 6 yr. Blood eosinophil counts were measured at 6 yr only. Family, symptom, and exposure histories at both time points were derived from questionnaire data. Independently of the other factors assessed, increased airway responsiveness at 1 mo was significantly associated with the following parameters measured at six yr: decreased FEV(1) (p < 0.001); decreased FVC (p < 0.001); physician-diagnosed asthma (p < 0.001); and lower respiratory tract symptoms (p < 0.05). None of the other physiologic factors measured in infancy showed such consistent associations with important clinical and physiologic outcomes at age 6. These data suggest that airway responsiveness in early life defines a functional state that is associated with abnormal airway function, lower respiratory symptoms, and the emergence of asthma by 6 yr of age.

Age Factors↗

Familial aggregation and heritability of adult lung function: results from the Busselton Health Study.

Decreased spirometric indices are characteristic of asthma and other respiratory diseases. The aim of this study was to investigate the genetic and environmental components of variance of forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) measured in adulthood in an Australian population-based sample of 468 Caucasian nuclear families. The inter-relationships of the genetic determinants of these traits with asthma and atopic rhinitis were also investigated. Serial cross-sectional studies were conducted in the town of Busselton in Western Australia between 1966 and 1981 and follow-up of previous attendees was undertaken in 1995. Data from each subject included in this study were from a single survey in adulthood (25-60 yrs of age) when the subject was as close to age 45 yrs as possible. Multivariate analysis suggested that FEV1 and FVC levels were associated with age, sex, height, tobacco smoke exposure, asthma and atopic rhinitis. After adjustment for relevant covariates, FEV1 levels had a narrow-sense heritability (h2N) of 38.9% (SE 9.1%). FVC levels had an h2N of 40.6% (SE 8.9%). Extended modelling demonstrated little overlap in the genetic determinants of asthma or atopic rhinitis and either FEV1 or FVC levels. The results of this study were consistent with the existence of important genetic determinants of adult lung function that are independent of asthma or other atopic disease, cigarette smoking, height, age or sex.

Adult↗

Ascertainment adjustment: where does it take us?

It is commonly assumed that the parameter estimates of a statistical genetics model that has been adjusted for ascertainment will estimate parameters in the general population from which the ascertained subpopulation was originally drawn. We show that this is true only in certain restricted circumstances. More generally, ascertainment-adjusted parameter estimates reflect parameters in the ascertained subpopulation. In many situations, this shift in perspective is immaterial: the parameters of interest are the same in the ascertained sample and in the population from which it was drawn, and it is therefore irrelevant to which population inferences are presumed to apply. In other circumstances, however, this is not so. This has important implications, particularly for studies investigating the etiology of complex diseases.

Computer Simulation↗

Variance components analysis for pedigree-based censored survival data using generalized linear mixed models (GLMMs) and Gibbs sampling in BUGS.

Complex human diseases are an increasingly important focus of genetic research. Many of the determinants of these diseases are unknown and there is often a strong residual covariance between relatives even when all known genetic and environmental factors have been taken into account. This must be modeled correctly whether scientific interest is focused on fixed effects, as in an association analysis, or on the covariance structure itself. Analysis is straightforward for multivariate normally distributed traits, 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 right censored survival times. This includes age-at-onset and age-at-death data and a variety of other censored traits. Markov chain Monte Carlo (MCMC) methods, including Gibbs sampling, provide a convenient framework within which such GLMMs may be fitted. In this paper, we use BUGS ("Bayesian inference using Gibbs sampling": a readily available, generic Gibbs sampler) to fit GLMMs for right-censored survival times in nuclear and extended families. We discuss parameter interpretation and statistical inference, and show how to circumvent a number of important theoretical and practical problems. Using simulated data, we show that model parameters are consistent. We further illustrate our methods using data from an ongoing cohort study. Finally, we propose that the random effects associated with a genetic component of variance (e.g., sigma(2)(A)) in a GLMM may be regarded as an adjusted "phenotype" and used as input to a conventional model-based or model-free linkage analysis. This provides a simple way to conduct a linkage analysis for a trait reflected in a right-censored survival time while comprehensively adjusting for observed confounders at the level of the individual and latent environmental effects shared across families.

Bayes Theorem↗

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↗

Bayesian statistics in medical research: an intuitive alternative to conventional data analysis.

Statistical analysis of both experimental and observational data is central to medical research. Unfortunately, the process of conventional statistical analysis is poorly understood by many medical scientists. This is due, in part, to the counter-intuitive nature of the basic tools of traditional (frequency-based) statistical inference. For example, the proper definition of a conventional 95% confidence interval is quite confusing. It is based upon the imaginary results of a series of hypothetical repetitions of the data generation process and subsequent analysis. Not surprisingly, this formal definition is often ignored and a 95% confidence interval is widely taken to represent a range of values that is associated with a 95% probability of containing the true value of the parameter being estimated. Working within the traditional framework of frequency-based statistics, this interpretation is fundamentally incorrect. It is perfectly valid, however, if one works within the framework of Bayesian statistics and assumes a 'prior distribution' that is uniform on the scale of the main outcome variable. This reflects a limited equivalence between conventional and Bayesian statistics that can be used to facilitate a simple Bayesian interpretation based on the results of a standard analysis. Such inferences provide direct and understandable answers to many important types of question in medical research. For example, they can be used to assist decision making based upon studies with unavoidably low statistical power, where non-significant results are all too often, and wrongly, interpreted as implying 'no effect'. They can also be used to overcome the confusion that can result when statistically significant effects are too small to be clinically relevant. This paper describes the theoretical basis of the Bayesian-based approach and illustrates its application with a practical example that investigates the prevalence of major cardiac defects in a cohort of children born using the assisted reproduction technique known as ICSI (intracytoplasmic sperm injection).

Bayes Theorem↗

A simplified method of harvesting and dilating the radial artery achieves acceptable clinical outcomes.

BACKGROUND: The recent successful revival of the radial artery as a coronary-bypass conduit has been attributed to a minimally traumatic harvesting technique without diathermy, combined with long-term oral calcium antagonist therapy. We describe a simplified technique of harvesting the radial artery, which reduces procurement time and maintains conduit relaxation. METHODS: Radial arteries were harvested using diathermy and topical glyceryl trinitrate-verapamil dilator solution. Postoperatively, intravenous glyceryl trinitrate, but no calcium antagonist was used. The clinical results in the first 100 consecutive patients receiving radial artery grafts (RA group), procured using this technique, were compared with a group of 100 patients receiving saphenous vein conduits (SV group) immediately prior to the introduction of the radial artery at our institution. RESULTS: There were no demographic differences between the two groups, other than the SV group being slightly older. There was one intraoperative death in each group. There was no difference in the rate of peri-operative myocardial infarction or length of stay in the intensive care unit. At a median follow-up time of 16 months for the RA group, and 25 months for the SV group, the survival rates were 97 and 94%, respectively. All survivors were in the New York Heart Association class I. In the SV group, two postoperative angioplasties were performed. CONCLUSIONS: These early results suggest that this method of procuring the radial artery using diathermy, glyceryl trinitrate and no postoperative calcium antagonists, is rapid, safe and effective. The continued use of this technique is justified, while awaiting the results of long-term angiographic studies.

Aged↗

Project back-on-track at 1 year: a delinquency treatment program for early-career juvenile offenders.

OBJECTIVE: This study assessed the effectiveness of Project Back-on-Track, an after-school diversion program that uses a multimodal approach for the treatment of early-career juvenile offenders. METHOD: Project Back-on-Track completers (30 of 41 enrollees; 73%), aged 9 to 17 years, 63% female, participated in a 4-week cycle of treatment consisting of group and family therapies, parent groups, educational sessions, community service projects, and empathy-building exercises. These youths attended the program 2 hours per day, 4 days a week, allowing for 32 hours of contact with the program per cycle; parents attended the program for 15 hours per cycle. Most youths were referred for violent offenses and met criteria for conduct disorder. RESULTS: Project Back-on-Track completers were significantly less likely than matched controls to have committed subsequent criminal offenses at 12 months. In addition, they had significantly fewer subsequent criminal charges at 9- and 12-month follow-up intervals than the control group. By decreasing the frequency of criminal recidivism, it is estimated that Project Back-on-Track resulted in savings to society of approximately $1,800 per youth enrolled after 1 year. CONCLUSION: At 1-year follow-up, findings suggest that treatment through Project Back-on-Track was effective in reducing criminal recidivism and costs in a population of early-career juvenile offenders.

Adolescent↗

Maternal thyroid disease: a risk factor for newborn encephalopathy in term infants.

Two previously published studies of term newborn encephalopathy showed that maternal thyroid disease to be a risk factor. From these studies we identified 13 case and three control mothers with thyroid disease and investigated them further. The majority of affected case mothers had idiopathic or autoimmune hypothyroidism. Compared with control mothers, case mothers had fewer thyroid function tests in pregnancy, were more likely to remain on the same dose of medication throughout pregnancy and to have experienced other pregnancy complications. The association between maternal thyroid disease and encephalopathy may be the result of a series of different causal pathways, some of which are suggested by our data.

Brain Diseases↗

Association between plasma CC16 levels, the A38G polymorphism, and asthma.

The effect of the A38G polymorphism on Clara cell secretory protein (CC16) gene expression and asthma was investigated by measuring plasma CC16 levels in 100 asthmatic and nonasthmatic children. Restriction digestion determined the A38G genotype and plasma CC16 levels were analyzed using a sensitive latex immunoassay. Asthmatics had lower mean plasma CC16 levels adjusted for age and gender (7.96 microg/L; 95% confidence interval [CI] = 6.79 to 9.31) than nonasthmatic subjects (9.98 microg/L; 95% CI = 8.83 to 11.26) (p = 0. 006). Similarly adjusted, mean plasma CC16 levels were also lower in 38A/38A (6.79 microg/L; 95% CI = 4.56 to 9.02) than 38G/38G subjects (10.01 microg/L; 95% CI = 7.90 to 12.12; p = 0.003). The odds ratio for asthma diagnosis of 38A/38A subjects was 4.78 (95% CI = 1.08 to 21.18; p = 0.04) compared with 38G/38G subjects. However, this was reduced when corrected from plasma CC16 level, suggesting that the odds of asthma was largely mediated through altered plasma CC16 levels. The 38A sequence was associated with reduced plasma CC16 levels and individuals with lower plasma CC16 levels were more likely to have asthma. This provides further evidence for a significant role of the CC16 gene, 38A allele in the development of asthma.

Adolescent↗

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↗

Airway and respiratory tissue mechanics in normal infants.

Low-frequency respiratory impedance (Zrs) was measured by applying a forcing signal, between 0.5 and 21 Hz at a transrespiratory pressure of 20 cm H(2)O, in a cross-sectional study of 37 normal infants. A model containing an airway resistance (Raw) and inertance (Iaw) and a tissue damping (G) and elastance (H) was fitted to the individual Zrs. Forced expiratory volume in 0.5 second (FEV(0.5)) was determined using the raised volume rapid thoracic compression technique. Multivariate regression analysis was used to analyze the relationships between the lung function parameters and length. Both airway and tissue parameters showed a decreasing quadratic relationship with increasing length. FEV(0.5) showed an increasing cubic relationship with length. A family history of asthma was found to have a negative effect on Raw, H, and FEV(0.5).

Airway Resistance↗

Association between breast feeding and asthma in 6 year old children: findings of a prospective birth cohort study.

OBJECTIVES: To investigate the association between the duration of exclusive breast feeding and the development of asthma related outcomes in children at age 6 years. DESIGN: Prospective cohort study. SETTING: Western Australia. SUBJECTS: 2187 children ascertained through antenatal clinics at the major tertiary obstetric hospital in Perth and followed to age 6 years. MAIN OUTCOME MEASURES: Unconditional logistic regression to model the association between duration of exclusive breast feeding and outcomes related to asthma or atopy at 6 years of age, allowing for several important confounders: sex, gestational age, smoking in the household, and early childcare. RESULTS: After adjustment for confounders, the introduction of milk other than breast milk before 4 months of age was a significant risk factor for all asthma and atopy related outcomes in children aged 6 years: asthma diagnosed by a doctor (odds ratio 1.25, 95% confidence interval 1.02 to 1.52); wheeze three or more times since 1 year of age (1.41, 1.14 to 1.76); wheeze in the past year (1.31, 1.05 to 1.64); sleep disturbance due to wheeze within the past year (1.42, 1.07 to 1.89); age when doctor diagnosed asthma (hazard ratio 1.22, 1.03 to 1.43); age at first wheeze (1.36, 1.17 to 1.59); and positive skin prick test reaction to at least one common aeroallergen (1.30, 1.04 to 1.61). CONCLUSION: A significant reduction in the risk of childhood asthma at age 6 years occurs if exclusive breast feeding is continued for at least the 4 months after birth. These findings are important for our understanding of the cause of childhood asthma and suggest that public health interventions to optimise breast feeding may help to reduce the community burden of childhood asthma and its associated traits.

Age Distribution↗

Recognising clinical instability in hospital patients before cardiac arrest or unplanned admission to intensive care. A pilot study in a tertiary-care hospital.

OBJECTIVE: To investigate the nature and duration of clinical instability (i.e., abnormalities in simple physical observations or laboratory test results) in hospital patients before a "critical event" (i.e., a cardiac arrest or an unplanned admission to intensive care). DESIGN: Retrospective survey of medical records of all patients having critical events (CEs) over 12 months. Data on hospital and Intensive Care Unit (ICU) patients were obtained for comparison with the study population. SETTING: A 300-bed metropolitan teaching hospital with a seven-bed ICU. PATIENTS: All patients having CEs over a 12-month period (January to December 1997). MAIN OUTCOME MEASURES: Number of patients with clinical instability before a CE; duration of clinical instability before a CE; number of medical reviews of each patient before a CE; mortality rate and length of hospital stay for all patients. RESULTS: There were 122 CEs in 112 patients (median, 1; range, 1-4). Of the CEs, 79 were unplanned ICU admissions (14 subsequent to cardiac arrest calls), and 43 were cardiac arrest calls not resulting in ICU admission. Each CE was preceded by a median of two (range, 0-9) criteria for clinical instability. The median duration of instability before a CE was 6.5 hours (range, 0-432 hours), and in that time a median of two (range, 0-13) medical reviews took place. The incidence of CEs in the total hospital population (122 CEs/19,853 admissions) and in ICU patients (79 unplanned admissions/515 admissions) was 0.6% and 15%, respectively. There were 70 deaths (62%) among the 112 patients, compared with a total of 392 deaths (2% of admissions) in the hospital, of which 107 were in ICU. CONCLUSIONS: Very few patients suffer a CE while in hospital. However, those who do frequently manifest abnormalities in simple physical observations and laboratory test results before the CE. More rapid intervention in response to warning signs might provide a better outcome for these patients.

Adult↗

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↗