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dc.contributor.author黃琬婷en_US
dc.contributor.authorHuang, Wan-Tingen_US
dc.contributor.author黃冠華en_US
dc.contributor.authorHuang, Guan-Huaen_US
dc.date.accessioned2014-12-12T01:50:07Z-
dc.date.available2014-12-12T01:50:07Z-
dc.date.issued2010en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079826501en_US
dc.identifier.urihttp://hdl.handle.net/11536/47665-
dc.description.abstract精神分裂症是一種複雜的疾病,同時受到基因遺傳及環境因素的影響。我們從NIMH取得case-control資料,其中包含741位精神分裂症患者和751位一般人,透過全基因相關性研究,希望可以找出導致精神分裂症的基因位置。因為不同症狀的精神分裂症導致的基因位置可能不同,所以我們先以潛在類別方法依正性負性症狀評量(PANSS)將病人分成數種症狀。又為了避免不同種族造成的影響,在作關聯性檢定時,用主成分分析調整種族。另外藉由基因型設算可以估計出未觀察到的基因。本文主要在探討以潛在類別方法將病人分組和用主成分分析調整種族的部分。zh_TW
dc.description.abstractSchizophrenia is a complex disease caused by both genetic inheritance and environment factors. We use the case-control genome-wide association study (GWAS) with 741 cases and 751 controls from the National Institute of Mental Health (NIMH) database to test SNP association with schizophrenia. Because different symptoms of schizophrenia may be caused by different genes, we use the regression extension of latent class analysis (RLCA) to classify patients based on their responses to Positive and Negative Syndrome Scale (PANSS) measures, and perform GWAS separately for each individual patient subgroup. To avoid potential population stratification, we apply principal component analysis (PCA) to adjust for the race effect when testing the association. We also extract the genotypes of rare SNPs by imputation to evaluate the contribution to the disease from multiple rare variants. In this thesis, we focus on schizophrenia patient subgroup identification by RLCA and population stratification adjustment by PCA.en_US
dc.language.isoen_USen_US
dc.subject全基因相關性分析zh_TW
dc.subject潛在類別方法zh_TW
dc.subject主成分分析zh_TW
dc.subject精神分裂症zh_TW
dc.subject病人分組zh_TW
dc.subjectGWASen_US
dc.subjectthe regression extension of latent class analysisen_US
dc.subjectprincipal component analysisen_US
dc.subjectschizophreniaen_US
dc.subjectpatient subgroupen_US
dc.title對NIMH之精神分裂症資料作全基因相關性分析-以潛在類別方法將病人分組zh_TW
dc.titleGenome-Wide Association for Schizophrenia in the NIMH Database-Patient Subgrouping by Latent Class Analysisen_US
dc.typeThesisen_US
dc.contributor.department統計學研究所zh_TW
Appears in Collections:Thesis