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Wilms tumor (WT) is the most prevalent urologic malignancy in childhood. Nonetheless, the genetic factors underlying WT remain largely unknown. The miR-423 rs6505162 C>A polymorphism is associated with the susceptibility to numerous cancers; however, no investigations have been conducted on its association with WT. To evaluate the correlation between the miR-423 rs6505162 C>A polymorphism and WT risk in Chinese children, we genotyped this polymorphism using the Taqman method in 145 cases and 531 cancer-free controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of the association. The results showed that the rs6505162 CA genotype was associated with decreased susceptibility to WT (CA versus CC: adjusted OR=0.65, 95% CI=0.42-0.99, P=0.047). In the stratified analysis, we found that CA/AA genotypes conferred a significantly decreased overall risk of WT in children younger than 18 months (adjusted OR=0.30, 95% CI=0.14-0.63, P=0.002) and those with clinical stage I+II WT (adjusted OR=0.42, 95% CI=0.20-0.85, P=0.017) when compared with CC genotype. In summary, the miR-423 rs6505162 C>A polymorphism may negatively modify WT susceptibility in Chinese children. Our findings should be validated in larger studies involving other ethnicities.
Pubmed ID: 30026843
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SNPinfo Web Server is a set of freely available web-based SNP selection tools where investigators can specify genes or linkage regions and select SNPs based on GWAS results, linkage disequilibrium (LD), and predicted functional characteristics of both coding and non-coding SNPs. The algorithm uses GWAS SNP P-value data and finds all SNPs in high LD with GWAS SNPs, so that selection is from a much larger set of SNPs than the GWAS itself. The program can also identify and choose tag SNPs for SNPs not in high LD with any GWAS SNP. We incorporate functional predictions of protein structure, gene regulation, splicing and miRNA binding, and consider whether the alternative alleles of a SNP are likely to have differential effects on function. Users can assign weights for different functional categories of SNPs to further tailor SNP selection. The program accounts for LD structure of different populations so that a GWAS study from one ethnic group can be used to choose SNPs for one or more other ethnic groups. SNP Selection and Functional Information *Candidate Gene SNP Selection (GenePipe):SNP selection for candidate genes based on Genome Wide Association Study (GWAS) results, functional SNP prediction and Linkage Disequilibrium (LD) information. *GWAS Functional SNP Selection (GenomePipe):Functional SNP selection from SNPs that are in high LD with GWAS SNPs *GWAS SNP Selection in Linkage Loci (LinkagePipe):GWAS SNP selection in candidate genomic regions (such as linkage loci) *LD TAG SNP Selection (TagSNP):LD tag SNP selection and visualization for single or multiple populations. Finalization of SNP list from various queries. *SNP Function Prediction (FuncPred): Querying SNP function predictions and ethnic-specific allele frequencies. *SNP Information in DNA Sequence (SNPseq):Visualization of SNP related information in the context of DNA sequence. Preparing DNA Sequence for PCR Primer Design considering SNP information. Detailed information of CpG region.
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