High-throughput SNP detection microarrays were used here to explore the relationship between 5, 10-methylenetetrahydrofolate reductase (MTHFR) gene polymorphism C677T and the risk of gastric carcinoma among population in Jiangsu region,by genotyping the specimens from 170 patients with gastric carcinoma and 140 age-and sex- matched control subjects.PCR products were spotted onto a 3-aminopropyltriethoxysilane coated glass slide to fabricate a microarray,then interrogated by hybridization with dual-color probes (Cy3,CyS) to determine the SNP genotype of each sample,and the relation between the genotypes and the risk of gastric carcinoma was analyzed.The frequencies of C677T genotype were CC(47.9%),CT(40%),CT(12.1%) in control group and CC(35.9%),CT(45.9%),TT(18.2%) in gastric carcinoma group,respectively.The individuals with 677CT+TT genotype group or 677TT had a 1.67-fold (95% CI:1.06-2.64) or 2.67-fold (95% CI:1.382-5.341) increased risk to develop gastric carcinoma compared with those having 677CC genotype. It was shown that the single nucleotide polymorphisms in the MTHFR gene are associated with the risk of gastric carcinoma in the Chinese population.
In order to assist the design of short interfering ribonucleic acids （siRNA）, 573 non-redundant siRNAs were collected from published literatures and the relationship between siRNAs sequences and RNA interference （RNAi） effect is analyzed by a support vector machine （SVM） based algorithm relied on a basebase correlation （BBC） feature. The results show that the proposed algorithm has the highest area under curve （AUC） value （0. 73） of the receive operating characteristic （ROC） curve and the greatest r value （0. 43） of the Pearson＇s correlation coefficient. This indicates that the proposed algorithm is better than the published algorithms on the collected datasets and that more attention should be paid to the base-base correlation information in future siRNA design.
