Dataset Information

Association of single-nucleotide polymorphisms in JAK3, STAT4, and STAT6 with new cardiovascular events in incident dialysis patients.

ABSTRACT: Increasing evidence supports a role for cell-mediated immunity in the pathogenesis of cardiovascular disease. Single-nucleotide polymorphisms (SNPs) in JAK3, STAT4, and STAT6 of the Janus kinase-signal transducer and activator of transcription (Jak-Stat) signal transduction pathway were examined for association with time to new cardiovascular events in incident dialysis patients from the Choices for Healthy Outcomes in Caring for End-Stage Renal Disease Study.Prospective cohort study.764 white (n = 518) and black (n = 246) participants from 79 dialysis centers.SNPs in JAK3, STAT4, and STAT6 selected using a pairwise approach to identify a maximally informative set of tag SNPs for populations of European and African descent.Cox proportional hazards models were used to estimate unadjusted and multivariable-adjusted hazard ratios (HRs) for incident cardiovascular disease events after dialysis therapy initiation associated with each race-specific SNP.2 European tag SNPs (rs3212780 and rs3213409) in JAK3 were associated with new cardiovascular disease events in white patients with unadjusted HRs of 1.92 (P < 0.001) and 1.82 (P = 0.07), respectively. One dual-tag SNP (rs3212752) in JAK3 was associated with new cardiovascular events in white patients with an unadjusted HR of 2.09 (P < 0.001) and in black patients with an HR of 2.07 (P = 0.007). SNP rs3213409 codes for a valine to isoleucine change at amino acid 722, a potentially functional mutation. SNPs in STAT4 and STAT6 were not associated with cardiovascular events after the initiation of dialysis therapy.This study does not provide direct evidence for the mechanism of increased risk. Replication in independent cohorts is necessary.Genetic polymorphisms in the Jak-Stat signaling pathway are associated with an increased risk of new cardiovascular events in incident dialysis patients.

SUBMITTER: Sperati CJ

PROVIDER: S-EPMC2744364 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association of single-nucleotide polymorphisms in JAK3, STAT4, and STAT6 with new cardiovascular events in incident dialysis patients.

Sperati C John CJ Parekh Rulan S RS Berthier-Schaad Yvette Y Jaar Bernard G BG Plantinga Laura L Fink Nancy N Powe Neil R NR Smith Michael W MW Coresh Josef J Kao W H Linda WH

American journal of kidney diseases : the official journal of the National Kidney Foundation 20090312 5

<h4>Background</h4>Increasing evidence supports a role for cell-mediated immunity in the pathogenesis of cardiovascular disease. Single-nucleotide polymorphisms (SNPs) in JAK3, STAT4, and STAT6 of the Janus kinase-signal transducer and activator of transcription (Jak-Stat) signal transduction pathway were examined for association with time to new cardiovascular events in incident dialysis patients from the Choices for Healthy Outcomes in Caring for End-Stage Renal Disease Study.<h4>Study design< ...[more]

PMID: 19282076

Similar Datasets

Project description:Some variables including age, comorbidity of diabetes, and so on at dialysis initiation are associated with patient prognosis. Cardiovascular (CV) events are a major cause of death, and adequate models that predict prognosis in dialysis patients are warranted. Therefore, we created models using some variables at dialysis initiation. We used a database of 1,520 consecutive dialysis patients (median age, 70 years; 492 women [32.4%]) from a multicenter prospective cohort study. We established the primary endpoint as a composite of the incidence of first CV events or all-cause death. A multivariable Cox proportional hazard regression model was used to construct a model. We considered a complex and a simple model. We used area under the receiver operating characteristic curve (AUROC) to assess and compare the predictive performances of the prediction models and evaluated the improvement in discrimination using the complex model versus the simple model using net reclassification improvement (NRI). We then assessed integrated discrimination improvement (IDI) to evaluate improvements in average sensitivity and specificity. Of 392 deaths, 152 were CV-related. Totally, 506 CV events occurred during the follow-up period (median 1,285 days). Finally, 692 patients reached the primary endpoint. Baseline data were set at dialysis initiation. AUROC for the primary endpoint was 0.737 (95% confidence interval [CI], 0.712-0.761) in the simple model and 0.765 (95% CI, 0.741-0.788) in the complex model. There were significant intergroup differences in NRI (0.44; 95% CI, 0.34-0.53; p < 0.001) and IDI (0.02; 95% CI, 0.02-0.03; p < 0.001). We prepared a Shiny R application for each model to automatically calculate the predicted occurrence probability (https://statacademy.shinyapps.io/App_inaguma_20190717/). The complex model made more accurate predictions than the simple model. However, the intergroup difference was not significant. Hence, the simple model was more useful than the complex model. The tool was useful in a real-world clinical setting because it required only routinely available variables. Moreover, we emphasized that the tool could predict the incidence of CV events or all-cause mortality for individual patients. In the future, we must confirm its external validity in other prospective cohorts.

Project description:Single-nucleotide polymorphisms (SNPs) provide an abundant source of DNA polymorphisms in a number of eukaryotic species. Information on the frequency, nature, and distribution of SNPs in plant genomes is limited. Thus, our objectives were (1) to determine SNP frequency in coding and noncoding soybean (Glycine max L. Merr.) DNA sequence amplified from genomic DNA using PCR primers designed to complete genes, cDNAs, and random genomic sequence; (2) to characterize haplotype variation in these sequences; and (3) to provide initial estimates of linkage disequilibrium (LD) in soybean. Approximately 28.7 kbp of coding sequence, 37.9 kbp of noncoding perigenic DNA, and 9.7 kbp of random noncoding genomic DNA were sequenced in each of 25 diverse soybean genotypes. Over the >76 kbp, mean nucleotide diversity expressed as Watterson's theta was 0.00097. Nucleotide diversity was 0.00053 and 0.00111 in coding and in noncoding perigenic DNA, respectively, lower than estimates in the autogamous model species Arabidopsis thaliana. Haplotype analysis of SNP-containing fragments revealed a deficiency of haplotypes vs. the number that would be anticipated at linkage equilibrium. In 49 fragments with three or more SNPs, five haplotypes were present in one fragment while four or less were present in the remaining 48, thereby supporting the suggestion of relatively limited genetic variation in cultivated soybean. Squared allele-frequency correlations (r(2)) among haplotypes at 54 loci with two or more SNPs indicated low genome-wide LD. The low level of LD and the limited haplotype diversity suggested that the genome of any given soybean accession is a mosaic of three or four haplotypes. To facilitate SNP discovery and the development of a transcript map, subsets of four to six diverse genotypes, whose sequence analysis would permit the discovery of at least 75% of all SNPs present in the 25 genotypes as well as 90% of the common (frequency >0.10) SNPs, were identified.

Project description:It is unclear whether high-density lipoprotein (HDL) cholesterol concentration plays a causal role in atherosclerosis. A more important factor may be HDL cholesterol efflux capacity, the ability of HDL to accept cholesterol from macrophages, which is a key step in reverse cholesterol transport. We investigated the epidemiology of cholesterol efflux capacity and its association with incident atherosclerotic cardiovascular disease outcomes in a large, multiethnic population cohort.We measured HDL cholesterol level, HDL particle concentration, and cholesterol efflux capacity at baseline in 2924 adults free from cardiovascular disease who were participants in the Dallas Heart Study, a probability-based population sample. The primary end point was atherosclerotic cardiovascular disease, defined as a first nonfatal myocardial infarction, nonfatal stroke, or coronary revascularization or death from cardiovascular causes. The median follow-up period was 9.4 years.In contrast to HDL cholesterol level, which was associated with multiple traditional risk factors and metabolic variables, cholesterol efflux capacity had minimal association with these factors. Baseline HDL cholesterol level was not associated with cardiovascular events in an adjusted analysis (hazard ratio, 1.08; 95% confidence interval [CI], 0.59 to 1.99). In a fully adjusted model that included traditional risk factors, HDL cholesterol level, and HDL particle concentration, there was a 67% reduction in cardiovascular risk in the highest quartile of cholesterol efflux capacity versus the lowest quartile (hazard ratio, 0.33; 95% CI, 0.19 to 0.55). Adding cholesterol efflux capacity to traditional risk factors was associated with improvement in discrimination and reclassification indexes.Cholesterol efflux capacity, a new biomarker that characterizes a key step in reverse cholesterol transport, was inversely associated with the incidence of cardiovascular events in a population-based cohort. (Funded by the Donald W. Reynolds Foundation and others.).

Dataset Information

Association of single-nucleotide polymorphisms in JAK3, STAT4, and STAT6 with new cardiovascular events in incident dialysis patients.

Publications

Association of single-nucleotide polymorphisms in JAK3, STAT4, and STAT6 with new cardiovascular events in incident dialysis patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets