| Title |
Contribution of toll-like receptor 9 gene single-nucleotide polymorphism to systemic lupus erythematosus
|
|---|---|
| Published in |
Rheumatology International, September 2012
|
| DOI | 10.1007/s00296-012-2509-y |
| Pubmed ID | |
| Authors |
Piotr Piotrowski, Margarita Lianeri, Mariusz Wudarski, Marzena Olesińska, Paweł P. Jagodziński |
| Abstract |
There are several studies on the association of TLR9 polymorphisms with systemic lupus erythematosus (SLE) in different ethnicities; however, the results are inconsistent. Therefore, we studied the distribution of the TLR9 C > T (rs352140) polymorphism in patients with SLE (n = 254) and controls (n = 521) in a Polish population. We did not observe significant differences in the prevalence of the TLR9 C > T genotype and alleles between patients with SLE and controls. However, we found a contribution of the T/T and T/C genotypes to renal [OR = 2.949 (95 % CI = 1.523-5.711, p = 0.001), (p corr = 0.017)] and immunologic disorders [OR = 2.938 (95 % CI 1.500-5.755, p = 0.0012), (p corr = 0.0204)] in SLE patients. Moreover, we observed a significant association between the TLR9 T/T and T/C genotypes and the presence of anti-dsDNA Ab [OR = 3.682 (1.647-8.230, p = 0.001), (p corr = 0.017)]. Our studies suggest that the TLR9 C > T (rs352140) polymorphism might contribute to renal and immunologic disorders and to the presence of anti-dsDNA Ab. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Student > Doctoral Student | 3 | 14% |
| Professor > Associate Professor | 3 | 14% |
| Student > Ph. D. Student | 2 | 9% |
| Lecturer | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 27% |
| Medicine and Dentistry | 5 | 23% |
| Immunology and Microbiology | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 27% |
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 12 September 2012.
All research outputs
#20,166,700
of 22,678,224 outputs
Outputs from Rheumatology International
#1,965
of 2,172 outputs
Outputs of similar age
#151,030
of 169,211 outputs
Outputs of similar age from Rheumatology International
#19
of 22 outputs
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