Association of polymorphisms in the beta-2 adrenergic receptor gene with fracture risk and bone mineral density.

UNLABELLED: Signaling through the beta-2 adrenergic receptor (B2AR) on the osteoblast influences bone remodeling in rodents. In the B2AR gene, three polymorphisms influence receptor function. We show that these polymorphisms are not associated with fracture risk or bone mineral density in the UCP, Rotterdam Study, and GEFOS cohorts. INTRODUCTION: Signaling through the beta-2 adrenergic receptor (B2AR) on the osteoblast influences bone remodeling in rodents. In the B2AR gene, three polymorphisms are known to influence receptor function in vitro and in vivo (rs1042713, rs1042714, and rs1800888). We examined the role of these polymorphisms in the B2AR gene on human bone metabolism. METHODS: We performed nested case-control studies to determine the association of these polymorphisms with fracture risk in the Utrecht Cardiovascular Pharmacogenetics (UCP) cohort and in three cohorts of the Rotterdam Study. We also determined the association of these polymorphisms with bone mineral density (BMD) in the GEFOS Consortium. UCP contains drug-dispensing histories from community pharmacies linked to national registrations of hospital discharges in the Netherlands. The Rotterdam Study is a prospective cohort study investigating demographics and risk factors of chronic diseases. GEFOS is a large international collaboration studying the genetics of osteoporosis. Fractures were defined by ICD-9 codes 800-829 in the UCP cohort (158 cases and 2617 unmatched controls) and by regular X-ray examinations, general practitioner, and hospital records in the Rotterdam Study (2209 cases and 8559 unmatched controls). BMD was measured at the femoral neck and lumbar spine using dual-energy X-ray absorptiometry in GEFOS (N = 32,961). RESULTS: Meta-analysis of the two nested case-control studies showed pooled odds ratios of 0.98 (0.91-1.05, p = 0.52), 1.04 (0.97-1.12, p = 0.28), and 1.16 (0.83-1.62, p = 0.38) for the associations between rs1042713, rs1042714, and rs1800888 per minor allele and fractures, respectively. There were no significant associations of the polymorphisms and BMD in GEFOS. CONCLUSION: In conclusion, polymorphisms in the beta-2 adrenergic receptor gene are not associated with fracture risk or BMD.

Polymorphisms in the melatonin receptor 1B gene and the risk of delirium.

BACKGROUND/AIMS: A disturbed sleep-wake rhythm cycle can be seen in delirium and as melatonin regulates this cycle via melatonin receptors, genetic variations in these receptors may contribute to susceptibility to delirium. The purpose of this study was to investigate whether genetic variants in the melatonin receptor 1B (MTNR1B) gene are associated with delirium. METHODS: Elderly medical and hip surgery patients were included in the study. Five single-nucleotide polymorphisms (SNPs) were determined in the MTNR1B gene, i.e. rs18030962, rs3781638, rs10830963, rs156244 and rs4753426. RESULTS: In total, 53% of 171 hip fracture patients and 33% of 699 medical patients were diagnosed with delirium. None of the polymorphisms were found to be associated with the occurrence of delirium. CONCLUSION: Future research could focus on sequencing this gene to look for other functional SNPs in relation to delirium.

Long-term neurologic and cognitive outcome and quality of life in adults after pneumococcal meningitis.

OBJECTIVES: To perform a cross-sectional cohort study on long-term neurologic, cognitive and quality-of-life outcome in adults surviving pneumococcal meningitis. METHODS: Adult survivors of community-acquired pneumococcal meningitis from a Dutch nationwide prospective cohort study were evaluated 1 to 5 years after acute illness. The control group consisted of partners or proxies of patients. Neurologic examination was performed and cognitive domains were tested with the Vienna Test System Cognitive Basic Assessment Test set (VTS COGBAT). The Research and Development (RAND)-36 and adapted Cognitive and Emotional Consequences of Stroke (CLCE)-24 questionnaires assessed perceived cognitive functioning and quality of life. Differences between group scores were tested with multivariate analyses of variance. RESULTS: A total of 80 pneumococcal meningitis patients and 69 controls were evaluated. After a median of 2 years (interquartile range, 2-3) after acute illness, 27 (34%) of 79 patients had persistent neurologic sequelae, most commonly hearing loss (21/79, 27%). On overall neuropsychologic evaluation, patients performed worse than the controls (MANCOVA; p 0.008), with alertness (z score -0.33, p 0.011) and cognitive flexibility (z score -0.33, p 0.027) as the most affected domains. Cognitive impairment was present in 11 (14%) of 79 patients. CLCE-24 questionnaires revealed cognitive impairment on all domains, most commonly for cognitive speed (53/75, 71%), attention (45/75, 60%) and memory (46/75, 61%). Patients had lower quality-of-life scores than controls (item physical functioning, (median) patients vs. controls, 80 vs. 95, p < 0.001; social functioning, (median) 81 vs. 100, p 0.003; perceived health, (mean) 59 vs. 70, p 0.005), which correlated with cognitive complaints (R = 0.66, p < 0.001). CONCLUSIONS: Adults after pneumococcal meningitis are at high risk of long-term neurologic and neuropsychologic deficits impairing daily life activities and quality of life.

Efficient ways exist to obtain the optimal sample size in clinical trials in rare diseases.

OBJECTIVE: Recruitment of pediatric patients in randomized clinical trials is hampered by the rarity of many conditions and by ethical constraints. The objective of this paper is to give an overview of design options to obtain a statistically valid result while including a minimum number of subjects. STUDY DESIGN AND SETTING: Overview and discussion of several approaches to conduct valid randomized clinical trials in rare diseases and vulnerable populations. RESULTS: Sequential designs have been developed as efficient ways to evaluate accumulating information from a clinical trial, thereby reducing the average size of trials. Different sequential procedures exist, including group sequential designs, boundaries designs, and adaptive designs. The sample size attained at the end of the trial is unknown at the start. The sample size for a given set of alpha, beta, and effect size may turn out to be larger than with a classical fixed sample size approach. Simulations have shown that on average, sample sizes are smaller. CONCLUSION: There are several possibilities to optimize the number of subjects in a clinical trial. The rarity of many disorders in children and the ethical requirements in this patient population should not obstruct the performance of well-designed research to support clinical decision making.

Platelet and endothelial cell P-selectin are required for host defense against Klebsiella pneumoniae-induced pneumosepsis.

BACKGROUND: Sepsis is associated with activation of platelets and endothelial cells accompanied by enhanced P-selectin surface expression. Both platelet- and endothelial P-selectin have been associated with leukocyte recruitment and induction of inflammatory alterations. Klebsiella (K.) pneumoniae is a common human sepsis pathogen, particularly in the context of pneumonia. METHODS: Wild-type (WT) and P-selectin-deficient (Selp(-/-) ) mice or bone marrow chimeric mice were infected with K. pneumoniae via the airways to induce pneumosepsis. Mice were sacrificed during early (12 h after infection) or late-stage (44 h) sepsis for analyses, or followed in a survival study. RESULTS: Selp(-/-) mice displayed 10-1000-fold higher bacterial burdens in the lungs, blood and distant organs during late-stage sepsis. P-selectin deficiency did not influence leukocyte recruitment to the lungs, but was associated with decreased platelet-monocyte complexes and increased cytokine release. Bone marrow transfer studies revealed a role for both platelet and endothelial cell P-selectin as mice deficient in platelet or endothelial cell P-selectin displayed an intermediate phenotype in bacterial loads and survival compared with full wild-type or full knockout control mice. CONCLUSION: Both platelet and endothelial cell P-selectin contribute to host defense during Klebsiella pneumosepsis.

Study on the protective effect of the KIR3DL1 gene in ankylosing spondylitis.

OBJECTIVE: Ankylosing spondylitis (AS) is an autoimmune disease that mainly affects the sacroiliac joints and the spine of the lower back. The disease is strongly associated with HLA-B27. Additional genes, single-nucleotide polymorphisms, and molecular components have been identified to be associated with AS, but the exact mechanism that drives disease development remains poorly understood. The killer cell immunoglobulin-like receptors (KIRs) are regulators of cytotoxicity of natural killer cells and T cell subsets and may be relevant in binding to HLA-B27 and the development of AS. We undertook this study to identify possible associations of KIR genotype with susceptibility to AS and disease characteristics including the presence of the HLA-B27 allele, disease severity, and uveitis. METHODS: We performed complete genotyping of the KIR locus in 303 Caucasian AS patients, 119 randomly selected healthy Caucasian controls, and 50 HLA-B27-positive healthy Caucasian controls by multiplex ligation-dependent probe amplification assay for detection of gene presence and copy number. RESULTS: We did not observe a significant association of any specific KIR gene or haplotype with susceptibility to AS or any other clinical manifestation. Disease severity, as measured by fulfilling the criteria for treatment with tumor necrosis factor blocking therapy, was linked to a lower number of genes for the functional variant of KIR3DL1 (P = 0.007). CONCLUSION: Our exploratory study indicates that KIR genes are not a major risk factor for susceptibility to AS. However, the data do suggest a role for KIRs in progression of the disease, whereby KIR3DL1 has a protective effect against the more severe manifestations of AS.

The Fc gamma receptor IIa R131H polymorphism is associated with inhibitor development in severe hemophilia A.

BACKGROUND: The development of factor (F) VIII neutralizing alloantibodies (inhibitors) is a major complication of treatment with FVIII concentrates in hemophilia A and the etiology is still poorly understood. The low-affinity Fc gamma receptors (FcγR), which are expressed on immune cells, provide an important link between cellular and humoral immunity by interacting with IgG subtypes. Genetic variations of the genes encoding FcγRs (FCGR genes) have been associated with susceptibility to infectious and autoimmune diseases. OBJECTIVES: The aim of this study was to investigate the association between genetic variation of FCGR and inhibitor development in severe hemophilia A. PATIENTS/METHODS: In this case-control study samples of 85 severe hemophilia A patients (siblings from 44 families) were included. Single nucleotide polymorphisms and copy number variation of the FCGR2 and FCGR3 gene cluster were studied in an FCGR-specific multiplex ligation-dependent probe amplification assay. Frequencies were compared in a generalized estimating equation regression model. RESULTS: Thirty-six patients (42%) had a positive history of inhibitor development. The polymorphism 131R > H in the FCGR2A gene was associated with an increased risk of inhibitor development (odds ratio [OR] per H-allele, 1.8; 95% confidence interval [CI], 1.1-2.9). This association persisted in 29 patients with high titer inhibitors (OR per H-allele, 1.9; 95% CI, 1.2-3.2) and in 44 patients with the F8 intron 22 inversion (OR per H-allele, 2.6; 95% CI, 1.1-6.6). CONCLUSIONS: Hemophilia A patients with the HH genotype of the FCGR2A polymorphism 131R > H have a more than 3-fold increased risk of inhibitor development compared with patients with the RR genotype.

High levels of protein C are determined by PROCR haplotype 3.

BACKGROUND: Genetic determinants of plasma levels of protein C (PC) are poorly understood. Recently, we identified a locus on chromosome 20 determining high PC levels in a large Dutch pedigree with unexplained thrombophilia. Candidate genes in the LOD-1 support interval included FOXA2, THBD and PROCR. OBJECTIVES: To examine these candidate genes and their influence on plasma levels of PC. PATIENTS/METHODS: Exons, promoter and 3'UTR of the candidate genes were sequenced in 12 family members with normal to high PC levels. Four haplotypes of PROCR, two SNPs in the neighboring gene EDEM2 and critical SNPs encountered during resequencing were genotyped in the family and in a large group of healthy individuals (the Leiden Thrombophilia Study (LETS) controls). Soluble endothelial protein C receptor (sEPCR) and soluble thrombomodulin (sTM) plasma levels were measured in the family. RESULTS: PROCR haplotype 3 (H3) and FOXA2 rs1055080 were associated with PC levels in the family but only PROCR H3 was also associated with plasma levels in the healthy individuals. Carriers of both variants had higher PC levels than carriers of only PROCR H3 in the family but not in healthy individuals, suggesting that a second determinant is present. EDEM2 SNPs were associated with PC levels, but their effect was small. PC and sEPCR levels were associated in both studies. sTM was not associated with variations of THBD or PC levels. CONCLUSIONS: Chromosome 20 harbors genetic determinants of PC and sEPCR levels and the analysis of candidate genes suggests that the PROCR locus is responsible.

Multiple imputation of missing genotype data for unrelated individuals.

The objective of this study was to investigate the performance of multiple imputation of missing genotype data for unrelated individuals using the polytomous logistic regression model, focusing on different missingness mechanisms, percentages of missing data, and imputation models. A complete dataset of 581 individuals, each analysed for eight biallelic polymorphisms and the quantitative phenotype HDL-C, was used. From this dataset one hundred replicates with missing data were created, in different ways for different scenarios. The performance was assessed by comparing the mean bias in parameter estimates, the root mean squared standard errors, and the genotype-imputation error rates. Overall, the mean bias was small in all scenarios, and in most scenarios the mean did not differ significantly from 'no bias'. Including polymorphisms that are highly correlated in the imputation model reduced the genotype-imputation error rate and increased precision of the parameter estimates. The method works well for data that are missing completely at random, and for data that are missing at random. In conclusion, our results indicate that multiple imputation with the polytomous logistic regression model can be used for association studies to deal with the problem of missing genotype data, when attention is paid to the imputation model and the percentage of missing data.

Common variants of multiple genes that control reverse cholesterol transport together explain only a minor part of the variation of HDL cholesterol levels.

It is assumed that the combined effects of multiple common genetic variants explain a large part of variation of high-density lipoprotein cholesterol (HDL-C) plasma levels, but little evidence exists to corroborate this assumption. It was our objective to study the contribution of multiple common genetic variants of HDL-C-related genes to variation of HDL-C plasma levels. A well-characterized cohort of 546 Caucasian men with documented coronary artery disease was genotyped for common functional variants in genes that control reverse cholesterol transport: ATP-binding cassette transporter A1, apolipoprotein A-I and apolipoprotein-E, cholesteryl ester transfer protein, hepatic lipase, lecithin : cholesterol-acyl transferase, lipoprotein lipase, and scavenger receptor class B type 1. Multivariate linear regression showed that these variants, in conjunction, explain 12.4% (95% confidence interval: 6.9-17.9%) of variation in HDL-C plasma levels. When the covariates smoking and body mass index were taken into account, the explained variation increased to 15.3% (9.4-21.2%), and when 10 two-way interactions were incorporated, this percentage rose to 25.2% (18.9-31.5%). This study supports the hypothesis that multiple, mildly penetrant, but highly prevalent genetic variants explain part of the variation of HDL-C plasma levels, albeit to a very modest extent. Multiple environmental and genetic influences on HDL-C plasma levels still have to be elucidated.

Estimation of multilocus haplotype effects using weighted penalised log-likelihood: analysis of five sequence variations at the cholesteryl ester transfer protein gene locus.

Direct analyses of haplotype effects can be used to identify those specific combinations of alleles that are associated with a specific phenotype. We introduce a method for direct haplotype analysis that solves two problems that arise when haplotypes are analysed in populations of unrelated subjects. Instead of assigning a single, most likely, haplotype pair to multiple heterozygous subjects, all haplotype pairs compatible with their genotype were determined and the posterior probabilities of these pairs were calculated using Bayes' theorem and estimated haplotype frequencies. For the individual patients, all possible haplotype pairs were included in the statistical analysis using the posterior probabilities as weights, which were re-estimated in an iterative process together with the haplotype effects. The second problem of unstable haplotype effect estimates, due to the numerous haplotypes and the low frequency at which some occur, was solved by assuming that haplotypes sharing the same alleles show a similar effect and that the extent of this similarity relates to the number of alleles shared. These assumptions were incorporated in a weighted log-likelihood model by introducing a penalty, where differences in effects of similar haplotypes were penalised. Using CETP gene haplotypes, consisting of five closely linked polymorphisms, and baseline CETP and HDL-C concentrations from the REGRESS population, we demonstrated that the model resulted in more stable effects than estimates based on unambiguous patients only.