基于SNP互作识别潜在冠心病致病基因
Progress in Modern Biomedicine（2016）
Abstract
目的:基于全基因组关联分析(Genome wide association study,GWAS)数据与生物信息学方法,识别冠心病潜在致病基因.方法:利用生物信息学方法和GWAS数据,对单核苷酸多态性(Single Nucleotide Polymorphisms,SNP)进-疾病风险打分,依据特定距离阈值内的SNP-SNP互作关系,筛选出疾病相关SNP显著风险模块,识别潜在致病基因.结果:设定阈值20kb,经筛选获得279个SNP显著风险模块,映射到79个基因,文献验证率为71.01％.结论:基于SNP互作识别的潜在致病基因,能更加准确的分析冠心病的发生发展过程.
MoreKey words
SNP,Interaction,Module,Coronary heart disease
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