摘要
目的分析肾癌、前列腺癌、膀胱癌和睾丸癌全基因组关联研究(GWAS)英文文献数据的构成特征。方法对国际最新GWAS研究数据库之一——美国国立人类基因组研究所(NHGRI)数据库进行数据挖掘。结果应用文献计量学方法,客观分析了NHGRI的文献基本特征、第一第二阶段样本量、染色体区域相关(核苷酸多态性)SNP、风险等位基因频率、P值文献中最强SNP、优势比(odds ratio,OR)或β相关系数、实验平台及检测SNP数量8项数据,找出了泌尿生殖系统肿瘤GWAS的一些共性特征。结论 8号染色体区域SNP多态性,可能是泌尿生殖系统肿瘤遗传易感区域,深入此易感区域研究,可能为阐述肿瘤发生、治疗及预后评估提供一定线索。
Objective To analyze the data constitution features of genome -wide association study ( GWAS) in Renal cell carcinoma、Prostate cancer、Bladder cancer and Testicular cancer in English literature .Methods National human genome in-stitute GWAS database ,one of the latest international research database of GWAS ,was meticulously data mined .Results Using literature metrology method objectively analyzed 8 data of the NHGRI''s basic characteristics of the literature ,the first and second stage of sample size , chromosomal regions associated SNPS , related risk allele frequency in the control group , P value with the strongest SNP in the literature , odds ratio or beta coefficient of correlation and experimental platform including testing the SNP number ,and found out the common characteristics of the urogenital system tumor GWAS .Conclusion Chromosome 8 regional SNP polymorphism may be the urogenital system tumor genetic susceptibility region ,and through into the susceptible area can pro-vide some clues in the treatment of cancer and prognosis assessment .
出处
《实用癌症杂志》
2014年第12期1548-1552,共5页
The Practical Journal of Cancer
关键词
全基因组关联研究
文献研究
数据挖掘
Genome-wide Association Study ( GWAS)
Literature research
Data Mining
