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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 戴政 | |
| dc.contributor.author | Yu-Tung Chang | en |
| dc.contributor.author | 張育通 | zh_TW |
| dc.date.accessioned | 2021-05-20T20:18:15Z | - |
| dc.date.available | 2009-09-16 | |
| dc.date.available | 2021-05-20T20:18:15Z | - |
| dc.date.copyright | 2009-09-16 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-06-29 | |
| dc.identifier.citation | 戴 政 (2003) 遺傳流行病學－基因定位之遺傳設計與分析方法。藝軒，台北
邱文雍 (2008) 合併親子三元體資料標識基因下傳/不下傳訊息與相似度訊息之相關分析方法。 張敦程 (2006) 非完整訊息染病同胞對資料之統計分析：應用熵測度為權數的加權檢定方法。 Camp, N.J. (1997) Genome-wide transmission/disequilibrium testing: consideration of the genotype relative risk at disease loci. Am J Hum Genet 61, 1424-1430. Dempfle, A. & Loesgen, S. (2003) Meta-analysis of linkage studies for complex diseases: an overview of methods and a simulation study. Ann Hum Genet 68, 69-83. Fisher, R.A. (1932) Statistical Method for Research Workers. London: Oliver and Boyd. Franke D., Kleensang A., Elston R.C. & Ziegler A. (2005) Haseman-Elston weighted by marker informativity. BMC Genet (in press) Franke, D. & Ziegler, A. (2005) Weighting affected sib pairs by marker informativity. Am J Hum Genet 77, 230–241. Gray, R.M. (2000) Entropy and Information Theory. Springer-Verlag. New York. Hodge, S.E., Boehnke, M. & Spence, M.A. (1999) Loss of information due to ambiguous haplotyping of SNPs. Nature Genet 21,360-361. Jacobs, K.B., Gray-McGuire, C., Cartier, K.C. & Elston, R.C. (2003) Genome-wide linkage scan for genes affecting longitudinal trends in systolic blood pressure. BMC Genet 4(Suppl 1),S82. Kulle, B., Frigessi, A., Edvardsen, H., Kristensen, V. & Wojnowski, L, (2008) Accounting for haplotype phase uncertainty in linkage disequilibrium estimation. Genet Epidemiol 32, 168–178. Kruglyak, L., Daly, M.J., Reeve-Daly, M.P. & Lander, E.S. (1996) Parametric and nonparametric linkage analysis: a unified multipoint approach. Am J Hum Genet 58, 1347-1363. Martin, E.R., Monk, S.A., Warren, L.L. & Kaplan, N.L. (2000) A test for linkage and association in general pedigree: the pedigree disequilibrium test. Am J Hum Genet 67, 146-154. Nguyen T.H., Liu C., Gershon E.S., McMahon F.J. (2004) Frequency Finder: a multi-source web application for collection of public allele frequencies of SNP markers. Bioinformatics 20, 439-443 Ott, J. (1999) Analysis of Human Genetic Linkage. The John Hopkins University Press. Penrose, L.S. (1935) The detection of autosomal linkage in data which consist of pairs of brothers and sisters of unspecified parentage. Ann Eugen. Ray, A. & Weeks, D.E. (2008) Relationship uncertainty linkage statistics (RULS): affected relative pair statistics that model relationship uncertainty. Genet Epidemiol 32, 313–324. S.A.G.E. (2004) Statistical analysis for genetic epidemiology. Statistical Solution, Cork Ireland. Shete, S., Zhou, X. & Amos, C.I. (2003) Genomic imprinting & linkage test for quantitative-trait loci in extended pedigrees. Am J Hum Genet 73, 933-938. Spielman, R.S., McGinnis, R.E. & Ewens, W.J. (1993) Transmission test for linkage disequilibrium, the insulin gene region and insulin-dependent diabetes mellitus(IDDM). Am J Hum Genet 52, 506-516. Sturtevant, A.H. (1913) The linear arrangement of six sex-linked factors in Drosophila, as shown by their mode of association. Journal of Experimental Zoology 14, 43-59. Tai, J.J. & Hou, C.D. (2006) On the combination of transmission/disequilibrium test and mean test for linkage detection using affected sib pairs. Comput Stat Data Anal 50, 1072-1089. Terwilliger, J.D. & Ott, J. (1992) A haplotype-based haplotype relative risk approach to detecting allelic associations. Hum Hered 42, 337-346. Thompson, E.A. (2005) Uncertainty in inheritance: assessing evidence for linkage. The Third University of Washington Biostatistics Symposium Technical Report no. 498. Tippett, L.M.C. (1931) The Method of Statistics. London: Williams and Norgate. Wang, J.Y., Hou, C.D. & Tai, J.J. (2008) A robust linkage analysis method using combined allele sharing and transmission disequilibrium information from case-parent tetrad families. Ann Hum Genet 72, 575-587. Zinn-Justin, A. & Abel, L. (1999) Introduction of the IBD information into the weighted pairwise correlation method for linkage analysis. Genet Epidemiol 17, 35–50. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/9340 | - |
| dc.description.abstract | 染病同胞對資料中，不同的親子基因型組合依其IBD訊息可分為完整訊息、不確定訊息及完全無訊息三種，當存在不確定訊息與完全無訊息的同胞對資料時，使用傳統均值檢定方法有可能造成統計檢定力的降低。為了提高統計檢定力，本研究利用Franke and Ziegler(2005)所提萃取IBD確定訊息的de Finetti法及張(2006)萃取IBD不確定訊息的熵方法得到染病同胞對的IBD合併訊息量，以有效利用不確定訊息與完全無訊息的樣本，並由此整體訊息量建構出以確定與不確定訊息為基礎的二種加權均值檢定統計量來提升檢定力。經由模擬與過去均值檢定統計量比較，本研究之二種加權檢定統計量在型I錯誤率的表現與過去的檢定統計量相當，而檢定力的表現優於過去研究的方法，確實改善過去研究無法更精確利用不同樣本訊息造成檢定力不足的缺點。 | zh_TW |
| dc.description.abstract | A variety of test statistics can be applied to analysis of affected sib-pairs (ASP) data. However, if the data contain ASP with incomplete information, these statistics might perform in power worse than expected. According to the recent studies, it has been shown that weighting by IBD information could increase the statistical power. Thus, in this study we use the de Finetti method, which extracts the complete IBD information proposed by Franke and Ziegler (2005), and the entropy method, which extracts the uncertain IBD information by Chang (2006), to establish a new weighting scheme to gain extra power. Based on the new weighting scheme, we constructed two information-based weighted mean test statistics. We performed simulation studies for evaluating type I error rates and statistical powers of the two weighted mean test approaches. Simulation results showed that the two weighting approaches do increase statistical powers in various genetic models. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-20T20:18:15Z (GMT). No. of bitstreams: 1 ntu-98-R96842025-1.pdf: 437998 bytes, checksum: 6975d81648f69f327c375b8b624a975d (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 圖目錄..................................................iii
表目錄...................................................iv 第一章 緒論...............................................1 1.1 連鎖分析............................................2 1.1.1非參數化連鎖分析方法：染病同胞對.................4 1.1.2不確定同源全等基因分析方法.......................5 1.2 合併方法...........................................10 1.3 研究動機...........................................12 1.4 研究目的...........................................13 第二章 文獻回顧..........................................15 2.1 資料結構與符號定義.................................15 2.1.1 資料結構.......................................15 2.1.2 符號定義.......................................15 2.2 均值檢定...........................................16 2.3 加權均值檢定.......................................18 2.3.1 de Finetti三角加權法...........................20 2.3.2 訊息熵加權法...................................25 第三章 研究方法..........................................29 3.1 以確定訊息為基礎的加權指標.........................33 3.2 以不確定訊息為基礎的加權指標.......................36 第四章 模擬研究..........................................39 4.1 模擬設定...........................................39 4.2 模擬結果討論.......................................41 第五章 討論與建議........................................51 參考文獻.................................................54 附錄.....................................................57 | |
| dc.language.iso | zh-TW | |
| dc.title | 探討染病同胞對確定與不確定訊息資料之統計分析：合併整體訊息測度為權數的加權檢定方法 | zh_TW |
| dc.title | Statistical Analysis of Affected Sib Pairs Data with Complete and Incomplete IBD Information: Combining Weights Approach | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 黃崑明 | |
| dc.contributor.oralexamcommittee | 陳秀熙,張淑惠,嚴明芳 | |
| dc.subject.keyword | IBD訊息,不確定訊息,熵,加權方法, | zh_TW |
| dc.subject.keyword | IBD information,uncertain information,entropy,weighting scheme, | en |
| dc.relation.page | 59 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2009-06-29 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 流行病學研究所 | zh_TW |
| 顯示於系所單位： | 流行病學與預防醫學研究所 | |
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