ArticleHuman genetics2006
An angiotensin converting enzyme haplotype predicts survival in patients with end stage renal disease.
Article in Human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Angiotensin-related genetic determinants of cardiovascular disease in patients undergoing hemodialysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2019Trial
- Identifying Common Genetic Risk Factors of Diabetic Neuropathies.Frontiers in endocrinology · 2015Review
- Survival and predictive factors of lethality in hemodialysis: D/I polymorphism of the angiotensin I-converting enzyme and of the angiotensinogen M235T genes.Arquivos brasileiros de cardiologia · 2014Observational
- Sequence-based polymorphisms in the mitochondrial D-loop and potential SNP predictors for chronic dialysis.PloS one · 2012Article
- Polymorphisms in the ACE and ADRB2 genes and risks of aging-associated phenotypes: the case of myocardial infarction.Rejuvenation research · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
The renin-angiotensin system is implicated in the development of a variety of human diseases. Many studies have sought to characterize the clinical implications of polymorphisms in the angiotensin converting enzyme (ACE) gene. Given the high mortality rate of individuals on chronic hemodialysis (HD), we sought to investigate whether genetic diversity in the ACE gene correlates with mortality in this population. We assembled a racially diverse cohort of prevalent individuals on chronic outpatient HD, and followed it prospectively for a mean of 2.1 years. Subjects were genotyped for seven single nucleotide polymorphisms (SNPs) in the ACE gene. Haplotype probabilities were calculated using an expectation-maximization algorithm. Cox proportional hazards regression was used to determine associations between haplotype and time to mortality from initiation of HD. There was strong linkage disequilibrium (LD) across the ACE gene, with three tagging SNPs found to account for all seven-SNP haplotypes that had a frequency of greater than 4%. After adjustment for age, race, gender, and diabetes status, a three-locus haplotype was associated with a 72% risk reduction in mortality (P = 0.004). The majority of this association was captured by the TT genotype of A-239T promoter polymorphism. The TGG (non-wild-type) haplotype, consisting of three tagging SNPs in the ACE gene, is associated with significantly decreased risk of all-cause mortality in HD patients independent of age, race, gender, and diabetic status. This "protective" haplotype may encompass loci with functional significance in the ACE gene.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.