计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
23期
145-150
,共6页
张琪%刘立芳%马磊%贺建峰
張琪%劉立芳%馬磊%賀建峰
장기%류립방%마뢰%하건봉
乙型肝炎%特征选择%风险与预防模式%单核苷酸多态性(SNP)
乙型肝炎%特徵選擇%風險與預防模式%單覈苷痠多態性(SNP)
을형간염%특정선택%풍험여예방모식%단핵감산다태성(SNP)
Hepatitis B Virus%feature selection%optimal risk and preventive patterns%Single Nucleotide Polymophism(SNP)
乙型肝炎病毒（Hepatitis B Virus，HBV）感染作为严重影响人类健康的疾病之一，是导致慢性肝脏疾病、肝硬化和肝癌的主要元凶。HBV由于其自身复制的特殊性，具有高变异特性，据研究表明HBV基因变异是HBV持续感染的根本原因。为了了解HBV的基因变异情况，检测HBV序列的SNP位点即单突变位点已广泛应用于大量的研究，所检测出的SNP位点对指导临床有重要意义。但是目前关于SNP位点检测的方法多因技术难度较高，费用大等不利因素而受到制约。因此，探讨一种基于计算机的SNP位点检测方法成为一种趋势。针对HBV序列的 SNP位点的特点，提出了一种基于最优风险与预防模型的HBV序列的SNP位点检测方法。方法首次应用于HBV序列的SNP位点检测，实验结果表明：该方法不仅有效地检测出HBV序列的X基因片段和前C区基因片段中已经报道的位点，而且还发现了一些新的SNP位点。与硬件检测SNP位点不同的是，所提出的计算机方法具有操作简单和费用低的优点，而且普通实验室和医疗机构均可以承受。
乙型肝炎病毒（Hepatitis B Virus，HBV）感染作為嚴重影響人類健康的疾病之一，是導緻慢性肝髒疾病、肝硬化和肝癌的主要元兇。HBV由于其自身複製的特殊性，具有高變異特性，據研究錶明HBV基因變異是HBV持續感染的根本原因。為瞭瞭解HBV的基因變異情況，檢測HBV序列的SNP位點即單突變位點已廣汎應用于大量的研究，所檢測齣的SNP位點對指導臨床有重要意義。但是目前關于SNP位點檢測的方法多因技術難度較高，費用大等不利因素而受到製約。因此，探討一種基于計算機的SNP位點檢測方法成為一種趨勢。針對HBV序列的 SNP位點的特點，提齣瞭一種基于最優風險與預防模型的HBV序列的SNP位點檢測方法。方法首次應用于HBV序列的SNP位點檢測，實驗結果錶明：該方法不僅有效地檢測齣HBV序列的X基因片段和前C區基因片段中已經報道的位點，而且還髮現瞭一些新的SNP位點。與硬件檢測SNP位點不同的是，所提齣的計算機方法具有操作簡單和費用低的優點，而且普通實驗室和醫療機構均可以承受。
을형간염병독（Hepatitis B Virus，HBV）감염작위엄중영향인류건강적질병지일，시도치만성간장질병、간경화화간암적주요원흉。HBV유우기자신복제적특수성，구유고변이특성，거연구표명HBV기인변이시HBV지속감염적근본원인。위료료해HBV적기인변이정황，검측HBV서렬적SNP위점즉단돌변위점이엄범응용우대량적연구，소검측출적SNP위점대지도림상유중요의의。단시목전관우SNP위점검측적방법다인기술난도교고，비용대등불리인소이수도제약。인차，탐토일충기우계산궤적SNP위점검측방법성위일충추세。침대HBV서렬적 SNP위점적특점，제출료일충기우최우풍험여예방모형적HBV서렬적SNP위점검측방법。방법수차응용우HBV서렬적SNP위점검측，실험결과표명：해방법불부유효지검측출HBV서렬적X기인편단화전C구기인편단중이경보도적위점，이차환발현료일사신적SNP위점。여경건검측SNP위점불동적시，소제출적계산궤방법구유조작간단화비용저적우점，이차보통실험실화의료궤구균가이승수。
As one of the severe diseases, HBV(Hepatitis B Virus)infection is seriously affecting human health. This kind of virus infection is the main reason that leads to chronic liver disease, cirrhosis and liver cancer. Due to the particularity of HBV replication and high variability characteristics, related studies have revealed that the HBV gene mutation is the basic reason of persistent HBV infection. In order to understand the genetic variation of HBV, the SNP detection from HBV sequences has been widely applied in the large number of research, the detected SNP loci may contain great clinical significance. However, currently, the SNP loci detection methods are restricted by some negative factors, such as high technical difficulty, high expense and so on. Therefore, to explore a computer-based method for SNP loci detection be-comes a trend. In this paper, considering the characteristics of SNP loci of the HBV sequence, an method of SNP loci de-tection based on optimal risk and prevention pattern is proposed. The proposed method is first applied to detect the SNP site in the HBV sequence. Experimental results show that the method has not only effectively detected the SNP loci of the sequence on HBV X gene fragment and the pre-C gene fragment which have been reported, and has also found a new SNP loci. Different from the SNP loci detection with hardware, the proposed method has the advantages of simple opera-tion, low cost, and it can be accepted by general laboratory and medical institutions.
