| Title |
Identification of NF-κB1 and NF-κBIΑ Polymorphisms Using PCR–RFLP Assay in a Turkish Population
|
|---|---|
| Published in |
Biochemical Genetics, November 2009
|
| DOI | 10.1007/s10528-009-9302-y |
| Pubmed ID | |
| Authors |
Serap Senol Tuncay, Pinar Okyay, Fevzi Bardakci |
| Abstract |
A polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay was used in a Turkish population to determine the frequency of polymorphisms of the nuclear factor-kappa (NF-kappaB1) and NF-kappaBIA genes, which have been shown to be related to several inflammatory diseases and cancer pathogenesis. Total genomic DNA was isolated from peripheral blood samples taken from 565 healthy volunteers living in Aydin Province. The genomic regions in question were amplified by PCR, and the polymorphisms in these regions were detected by a PCR-RFLP assay. The frequencies were 10.3% for the NF-kappaB1 -94ins/delATTG del/del genotype, 49.1% for del/ins, and 40.6% for ins/ins. The genotype frequencies of the NF-kappaBIA 3'UTR A --> G genotypes were A/A 19.2%, A/G 42.3%, and G/G 38.5%. Distribution of genotype frequencies was tested by Hardy-Weinberg; the NF-kappaB1 gene was in Hardy-Weinberg equilibrium (chi(2) = 3.402, P > 0.05), the NF-kappaBIA gene was not (chi(2) = 8.293, P < 0.05). |
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 % |
|---|---|---|
| Brazil | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 30% |
| Student > Ph. D. Student | 2 | 20% |
| Professor > Associate Professor | 2 | 20% |
| Student > Master | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 50% |
| Social Sciences | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 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 26 March 2013.
All research outputs
#20,187,333
of 22,703,044 outputs
Outputs from Biochemical Genetics
#363
of 467 outputs
Outputs of similar age
#158,265
of 165,331 outputs
Outputs of similar age from Biochemical Genetics
#5
of 5 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 467 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 165,331 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.