| Title |
Genetic Variants in C-Reactive Protein and Ischemic Stroke Susceptibility
|
|---|---|
| Published in |
Cell Biochemistry and Biophysics, July 2014
|
| DOI | 10.1007/s12013-014-0099-x |
| Pubmed ID | |
| Authors |
Bing Chen, Juan Chen, Wei Huang |
| Abstract |
Considerable discrepancies in the previously reported associations of the C-reactive protein (CRP) gene variants and ischemic stroke (IS) risk prompted us to perform this meta-analysis. We selected the fixed effects Mantel-Haenszel method to estimate the risk of IS [OR (odds ratio) along with its 95 % CI (confidence interval)] in relation to the CRP variants (-717 A > G, 1444 C > T). Heterogeneity test, influence analysis and publication bias test were appropriately performed using respective methods. We analyzed 1,926 IS patients and 2,678 controls and found the -717 A > G variant was not significantly associated with overall IS risk. Subsequent analysis of the 1444 C > T variant involving 3,278 samples similarly revealed no significant association with IS. There was no substantial heterogeneity or publication bias in this analysis. Our meta-analysis may provide first evidence showing that genetic variants within the CRP locus are unlikely to modulate risk of IS. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 30% |
| Student > Ph. D. Student | 2 | 20% |
| Lecturer | 1 | 10% |
| Librarian | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 20% |
| Environmental Science | 1 | 10% |
| Mathematics | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Social Sciences | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2015.
All research outputs
#18,383,471
of 22,770,070 outputs
Outputs from Cell Biochemistry and Biophysics
#473
of 910 outputs
Outputs of similar age
#163,337
of 227,682 outputs
Outputs of similar age from Cell Biochemistry and Biophysics
#15
of 49 outputs
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So far Altmetric has tracked 910 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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