tailieunhanh - Báo cáo y học: " DNA microarray analysis of rheumatoid arthritis susceptibility genes identified by genome-wide association studies"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học General Psychiatry cung cấp cho các bạn kiến thức về ngành y đề tài: DNA microarray analysis of rheumatoid arthritis susceptibility genes identified by genome-wide association studies. | Sugino et al. Arthritis Research Therapy 2010 12 401 http content 12 2 401 LETTER DNA microarray analysis of rheumatoid arthritis susceptibility genes identified by genome-wide association studies Hidehiko Sugino Hooi-Ming Lee1 and Norihiro Nishimoto -2 See related review by Clarke and Vyse http content 11 5 248 In a recent interesting review Alex Clarke and Timothy Vyse described the genetics of rheumatic disease 1 . In the past several years genome-wide association studies GWAS have led to the identification of six high-risk rheumatoid arthritis RA susceptibility genes - namely CD244 PADI4 SLC22A2 PTPN22 CTLA4 and STAT4 summarized in 2 . In vitro studies using mutant alleles and cultured cells have revealed the individual upregulation of CD244 PADI4 SLC22A2 and PTPN22 2-6 however studies on the expression of RA susceptibility genes in RA patients are rare. We therefore investigated the expression of the above-mentioned six RA susceptibility genes in 112 RA patients using DNA micro array analysis. This study aims to clarify whether DNA microarray analysis and GWAS produce comparable results with respect to RA susceptibility genes. Total RNA extracted from total peripheral blood cells obtained from 112 RA patients and 45 healthy individuals was used to prepare aminoallyl RNA. As a reference mixed RNA from 45 healthy individuals was used. The aminoallyl RNA of each individual and the reference was subjected to Cy3 and Cy5 labeling respectively and was hybridized with an oligonucleotide-based DNA microarray. The data obtained were analyzed by nonparametric statistical group comparison. The intensities of the noprobe spots were used as the background. The median and standard deviation of the background intensity were calculated. The genes with an intensity value that was less than the median plus 2 standard deviation of the background intensity were identified as null. The Cy3 Cy5 ratios of all spots on the DNA microarray