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Bioinformotics Analysis for Coding SNPs of the HLA-DQA1 Gene Involved in Susceptibility to Cervical Cancer 被引量:1
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作者 Yanyun Li Jun Xing Linsheng Zhao Yanni Li Yuchuan Wang Weiming Zhang 《Chinese Journal of Clinical Oncology》 CSCD 2006年第1期49-54,共6页
OBJECTIVE To analyze coding SNPs of the HLA-DQA1 gene involved in susceptibility for cervical cancer by a bioinformatics approach, and to choose some SNPs that may have an association with cervical cancer. METHODS By ... OBJECTIVE To analyze coding SNPs of the HLA-DQA1 gene involved in susceptibility for cervical cancer by a bioinformatics approach, and to choose some SNPs that may have an association with cervical cancer. METHODS By a SNPper tool we extracted SNPs from a public database (dbSNP), exporting them in FASTA formats suitable for subsequent use. Then we used PARSESNP as a tool for the analysis of the cSNPs. RESULTS In the cSNPs of the HLA-DQA1 gene, we find that rs9272693 and rs9272703, are made up of missense mutations which convert a codon for one amino acid into a codon for a different amino acid. We chose a PSSM Difference >10 as a lower level for the scores of changes predicted to be deldterious. CONCLUSION We used a bioinformatics approach for cSNPs analysis of the HLA-DQA1 gene. This method can select the variants in a conserved region, and give a PSSM Difference score. But the results need to be verified in cervical cancer patients and a control population. 展开更多
关键词 BIOINFORMATICS single nucleotide polymorphisms cervical cancer HLA.
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