博碩士論文 952211014 完整後設資料紀錄

DC 欄位 語言
DC.contributor系統生物與生物資訊研究所zh_TW
DC.creator張凱廸zh_TW
DC.creatorKai-Di Jhangen_US
dc.date.accessioned2008-7-18T07:39:07Z
dc.date.available2008-7-18T07:39:07Z
dc.date.issued2008
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=952211014
dc.contributor.department系統生物與生物資訊研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract躁鬱症是常見的一種複雜型精神疾病。它透過體染色體及X染色體在家族的個體中遺傳,除此之外它也受到環境因素影響,如化學要素或情緒壓力等。DNA甲基化在表觀遺傳學中佔重要角色,它在DNA遺傳序列以外建立改變生物性狀並且可以遺傳的機制。於是我們以偵測DNA甲基化的CpG 小島微陣列晶片(包含13056個探針) 來分析躁鬱症病患與正常人精子裡DNA甲基團的分佈,並藉由統計學裡的淨相關來計算微陣列數據中探針間的相關性。無論是質譜儀、基因體染色質免疫沉澱或是其他高通量實驗數據,圖型模型是一個適合資料探勘與整合的分析方式。我們以圖型化高斯模型來表示這些CpG小島中甲基團密度變化量的相依性,並且探討圖型結構中的特性 ─ 模數、度協調、叢集係數等─及註解其生物意義。zh_TW
dc.description.abstractManic depression disorder is a complex heritable disease in that its heredity comes from genetic abnormalities in somatic and X chromosomes. Beside genetic factor, environment factors also affect the disease’’s susceptibility. DNA methylation plays a role in epigenetics and is considered to serve as a bridge between genetic and environmental factors. In this thesis, we describe a genome-wide DNA methylation dataset of 19 bipolar disorder (manic depression) and 18 normal individuals using human CpG island microarrays (containing 13056 probes). Then we analyze the methylation relations among the measuring probes using Graphical Gaussian models for each phenotypic group, obtaining networks of co-methylation. Modularity, assortativity and clustering coefficient properties of the networks are calculated. Genes involved in co-methylation are grouped and annotated by Gene Ontology terms. Candidate genes have some implications to the disorder.en_US
DC.subjectDNA甲基化zh_TW
DC.subjectCpG小島zh_TW
DC.subject網路分析zh_TW
DC.subject躁鬱症zh_TW
DC.subject表觀遺傳學zh_TW
DC.subject淨相關zh_TW
DC.subject微陣列zh_TW
DC.subject圖形化高斯模型zh_TW
DC.subjectDNA microarrayen_US
DC.subjectpartial correlationen_US
DC.subjectcpg islanden_US
DC.subjectDNA methylationen_US
DC.subjectepigeneticen_US
DC.subjectbipolaar disorderen_US
DC.subjectManic depressionen_US
DC.subjectgraphical gaussian modelen_US
DC.subjectnetworken_US
DC.title躁鬱症病患的精子之DNA 甲基化的網路分析zh_TW
dc.language.isozh-TWzh-TW
DC.titleDNA methylation Network analysis on bipolar disorder spermen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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