association study of aff1 rs340630 polymorphism with genetic susceptibility to rheumatoid arthritis in chinese population

Clicks: 225
ID: 236744
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #165 of 240 articles by views in Free radical biology & medicine

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 240 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This study was performed to examine whether the AF4/FMR2 family, member 1 (AFF1) rs340630 polymorphism is involved in the genetic background of rheumatoid arthritis (RA) in a Chinese population. Two different study groups of RA patients and controls (328 RA patients and 449 healthy controls in the first study group; 232 RA patients and 313 controls in the second study group) were included in our study. Overall, there was no significant difference in either genotype (P=0.71 and 0.64 in the first and second study group, respectively) nor allele (in the first study group: A vs G, P=0.65, OR=1.05, 95%CI=0.85–1.29; in the second study group: G vs A, P=0.47, OR=1.10, 95%CI=0.86–1.40) frequencies of AFF1 rs340630 polymorphism between RA patients and controls. Our study represents the first report assessing the association of AFF1 rs340630 polymorphism with RA risk. No significant evidence was found for the dominant or recessive models. Further case-control studies with larger sample sizes and fine-mapping studies are needed to clarify the role of AFF1 in the genetic basis of RA.
Reference Key
sun2018brazilianassociation Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Qing-Qing Sun;Dong-Jin Hua;Si-Chao Huang;Han Cen;Li Zhou;Song Shao
Journal Free radical biology & medicine
Year 2018
DOI
10.1590/1414-431x20187126
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.