ArticleExperimental and therapeutic medicine2014
Correlation between the single nucleotide polymorphisms of the human phosphodiesterase 4D gene and the risk of cerebral infarction in the Uygur and Han ethnic groups of Xinjiang, China.
Article in Experimental and therapeutic medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- PDE4D single nucleotide polymorphism rs918592 is associated with ischemic Stroke risk in Chinese populations: a meta-analysis.BMC cardiovascular disorders · 2024Pooled it
- Phosphodiesterase 4 D (PDE4D) gene polymorphisms and risk of ischemic stroke: A systematic review and meta-analysis.Acta neurologica Belgica · 2023Pooled it
- Single-nucleotide polymorphism rs2910829 inOpen life sciences · 2024Article
- Association of the PDE4D gene variant with selected markers in individuals with ischaemic heart disease: a pilot study.Central European journal of public health · 2023Article
- The Genetic Structure and East-West Population Admixture in Northwest China Inferred From Genome-Wide Array Genotyping.Frontiers in genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, the correlation between the single nucleotide polymorphisms (SNPs) at rs2910829 and rs918592 in the phosphodiesterase 4D (PDE4D) gene and cerebral infarction in the Uygur and Han ethnic groups of Xinjiang, China were examined. The study population consisted of 373 Uygur and Han patients with cerebral infarction and 377 Uygur and Han control participants with no nervous system diseases. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and gene sequencing methods were used to assess the SNPs at the rs2910829 and rs918592 loci in the PDE4D gene. The differences in genotype and allele frequency distribution were compared between the two groups. The C allele frequency of the rs2910829 locus in the PDE4D gene of the cerebral infarction group (81.0%) was significantly higher than that of the control group (76.4%) (P<0.05). Furthermore, the A allele frequency of the rs918592 locus in the PDE4D gene in the Uygur cerebral infarction group was significantly higher than that of the Uygur control group (P<0.05). There were no significant differences in the genotype and allele frequency distributions between the Uygur and Han groups (P>0.05). The A allele of the rs918592 locus may be associated with the occurrence of cerebral infarction in the Uygur population. In addition, it was indicated that the C allele of the rs2910829 locus in the PDE4D gene confers susceptibility to cerebral infarction; however, no significant difference was identified between Uygur and Han patients with cerebral infarction.
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.