[Relationship between IKZF3 Gene Single Nucleotide Polymorphisms and Childhood Acute Lymphoblastic Leukemia].

OBJECTIVE: To investigate the relationship between single nucleotide polymorphisms (SNPs) of IKAROS family Zinc finger 3 (IKZF3) gene and the risk of acute lymphoblastic leukemia (ALL) in children. METHODS: The peripheral blood samples from 286 children with ALL and 382 healthy children were collected and divided into ALL group and control group, respectively. The genotypes of IKZF3 gene at rs62066988 C > T and rs12946510 C > T were detected by quantitative PCR with TaqMan detection system, and their correlation with ALL was analyzed. RESULTS: The distribution frequencies of CC, CT and TT genotypes at rs62066988 in ALL group were 58.39%, 37.06% and 4.55%, respectively, while those in control group were 69.19%, 27.68% and 3.13%, respectively. The distribution frequencies of CC, CT and TT genotypes at rs12946510 in ALL group were 58.16%, 34.75% and 7.09%, respectively, while those in control group were 55.76%, 37.43% and 6.81%, respectively. Compared with the control group, the distribution frequency of CT/TT genotype at rs62066988 was significantly increased in the ALL group (OR=1.59, 95%CI: 1.16-2.19, P=0.004). However, there was no significant difference in the distribution of rs12946510 C > T polymorphism between ALL group and control group. CONCLUSION: The CT/TT genotype of IKZF3 at the site of rs62066988 is associated with the increased risk of ALL in children.

Text mining biomedical literature for constructing gene regulatory networks.

In this paper, we present the framework of a Gene Regulatory Networks System: GRNS. The goals of GRNS include automatically mining biomedical literature to extract gene regulatory information (strain number, genotype, gene regulatory relation, and phenotype), automatically constructing gene regulatory networks based on extracted information and integrating biomedical knowledge into the regulatory networks.