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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 戴 政 | |
| dc.contributor.author | Tsung-Jen Hsieh | en |
| dc.contributor.author | 謝宗仁 | zh_TW |
| dc.date.accessioned | 2021-06-08T04:40:01Z | - |
| dc.date.copyright | 2009-09-16 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-08-13 | |
| dc.identifier.citation | 1. 戴政 (2002) 遺傳流行病學：基因定位之遺傳設計與分析方法。藝軒圖書出版社，臺北。
2. Abecasis, G. R., L. R. Cardon and Cookson, W. O. C.(2000) A General Test of Association for Quantitative Traits in Nuclear Families. American Journal of Human Genetics 66, 279-292. 3. Cannings, C., Thompson, E. A. and Skolnick, M. H. (1978) Probability Functions on Complex Pedigrees. Advances in Applied Probability 10, 26-61. 4. Carmelli, D., Karlin, S., Williams, R (1979): A Class of Indices to Assess Major-Gene Versus Polygenic Inheritance of Distributed Variables, in The Genetic Analysis of Common Diseases: Application to Predictive Factors in Coronary Heart Disease, edited by Sing, CF, Skolnick, M, New York: Alan R. Liss, pp259-270. 5. David C. Hoaglin (2005): Exploratory Data Analysis in Encyclopedia of Biostatistics. 2nd ed, edited by Peter Armitage, New York: Wiley, pp1859-1862. 6. Diao, G. and D. Y. Lin (2005) A powerful and robust method for mapping quantitative trait loci in general pedigrees. American Journal of Human Genetics 77, 97-111. 7. Feingold, E. (2001) Methods for Linkage Analysis of Quantitative Trait Loci in Humans. Theoretical Population Biology 60, 167-180. 8. Geller, F., Dempfle, A. and Tilman, G. (2003) Genome Scan for Body Mass Index and Height in the Framingham Heart Study. Bmc Genetics 4, S91. 9. Hoaglin, D.C., Mosteller, F. and Tukey, J. W., eds (1983) Understanding Robust and Exploratory Data Analysis. Wiley, New York. 10. Jung, J. S., M. Zhong, L. Liu and R. Fan. (2008) Bivariate Combined Linkage and Association Mapping of Quantitative Trait Loci. Genetic Epidemiology 32, 396-412. 11. Karlin, S., Carmelli, D. and Williams, R. (1979) Index Measures for Assessing the Mode of Inheritance of Continuously Distributed Traits .1. Theory and Justifications. Theoretical Population Biology 16, 81-106. 12. Karlin, S., Williams, P. T. and Carmelli, D. (1981) Structured Exploratory Data Analysis (SEDA) for Determining Mode of Inheritance of Quantitative Traits .1. Simulation Studies on the Effect of Background Distributions. American Journal of Human Genetics 33, 262-281. 13. Kim, S., K. A. Sohn and E. P. Xing. (2009) A Multivariate Regression Approach to Association Analysis of a Quantitative Trait Network. Bioinformatics 25, i204-i212 14. Mckusick, V. A. (1960) Genetics and the Nature of Essential Hypertension. Circulation 22, 857-863. 15. Morton, N. E. and C. J. Maclean (1974) Analysis of Family Resemblance .3. Complex Segregation of Quantitative Traits. American Journal of Human Genetics 26, 489-503. 16. Strug, L., Sun, L. and Corey, M. (2003) The Genetics of Cross-Sectional and Longitudinal Body Mass Index. Bmc Genetics 4, S14. 17. Tukey, J.W. (1977) Exploratory Data Analysis. Addison-Wesley, Reading. 18. Tukey, J.W. (1980) We Need Both Exploratory and Confirmatory, The American Statistician 34, 23-25. 19. Wang, J. Y. and J. J. Tai (2009) Robust Quantitative Trait Association Tests in the Parent-Offspring Triad Design: Conditional Likelihood-Based Approaches. Annals of Human Genetics 73, 231-244. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/23061 | - |
| dc.description.abstract | 利用群體資料或家族資料進行相關研究，已經廣泛應用於複雜疾病的基因定位。Karlin (1979)提出一種主效基因指標(MGI)利用核心家庭資料探索數量性狀的遺傳結構方式，然而，該指標卻可能因為次方轉換參數選取的不適當以及性狀的遺傳率低導致謬誤的結論。為了解決此問題，本文利用親本－子代三元體資料建構二種新主效基因指標，能更成功地探索出數量性狀的遺傳結構方式。另外也建構二種條件主效基因指標(CMGIs)以探索數量性狀與標識基因的遺傳相關訊息。透過模擬研究以評估二種新主效基因指標與二種條件主效基因指標之行為表現。 | zh_TW |
| dc.description.abstract | Association studies, based on either population data or familial data, have been widely applied to mapping of genes for complex disease. Karlin (1979) proposed a major gene index (MGI) for exploring the inheritance mode for quantitative traits using nuclear familial data. However, the index may lead to spurious results due to the inappropriate selection of a power transformation parameter and the low heritability of a trait. In order to resolve this problem, in this thesis, we use parent-offspring triad data to construct two new MGIs that can more successfully explore the mode of inheritance for quantitative traits. In addition, we also construct two conditional major gene indices (CMGIs) to explore the genetic association information between a quantitative trait and a marker. Simulations are conducted to evaluate the performance of the two new MGIs and the two CMGIs. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T04:40:01Z (GMT). No. of bitstreams: 1 ntu-98-R96842002-1.pdf: 613736 bytes, checksum: 4b4cf37b72a877923fa247f534020563 (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 誌謝..... ...............................................i
摘要..... ..............................................ii Abstract. .............................................iii 圖目錄... ..............................................iv 表目錄... ...............................................v 第一章 緒論....... ......................................1 第一節 研究背景.........................................1 第二節 研究目的.........................................4 第二章 文獻回顧.........................................5 第一節 探索式資料分析...................................5 第二節 主效基因指標.....................................8 第三章 研究方法........................................15 第一節 數量性狀的主效基因之指標探索....................15 第二節 數量性狀的潛在遺傳模式之指標探索................21 第三節 數量性狀與標識基因相關性之指標探索..............24 第四章 模擬研究........................................39 第一節 模擬步驟與設定...... ............................39 第二節 三種主效基因指標之行為表現......................43 第三節 條件主效基因指標之行為表現............ .........53 第五章 結果與討論......................................57 參考文獻...............................................60 附錄...................................................63 附錄I 主效基因指標MGI_mp(alpha)在隨機交配且主效基因模式中隱性、可累加、顯性模式下之推導...........................63 附錄II 主效基因指標MGI_mp(alpha)在隨機交配且多微效基因常態模式之推導...............................................70 附錄III 主效基因指標MGI_max(alpha)在隨機交配且主效基因模式中隱性、可累加、顯性模式下之推導.........................74 附錄IV 主效基因指標MGI_min(alpha)在隨機交配且主效基因模式中隱性、可累加、顯性模式下之推導.........................79 附錄V 條件主效基因指標CMGI_max與CMGI_min在隨機交配且主效基因模式中隱性、可累加、顯性模式下之推導...................84 | |
| dc.language.iso | zh-TW | |
| dc.subject | 主效基因指標 | zh_TW |
| dc.subject | 相關 | zh_TW |
| dc.subject | 條件主效基因指標 | zh_TW |
| dc.subject | 探索式資料分析 | zh_TW |
| dc.subject | association | en |
| dc.subject | conditional major gene index | en |
| dc.subject | exploratory data analysis | en |
| dc.subject | major gene index | en |
| dc.title | 利用親本子代三元體資料進行指標式探索數量性狀基因座與標識基因間相關 | zh_TW |
| dc.title | Index Exploring Genetic Association Information between Quantitative Trait Loci and Markers Using Parent-Offspring Triad Data | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張淑惠,陳秀熙,黃崑明,王俊毅 | |
| dc.subject.keyword | 相關,條件主效基因指標,探索式資料分析,主效基因指標, | zh_TW |
| dc.subject.keyword | association,conditional major gene index,exploratory data analysis,major gene index, | en |
| dc.relation.page | 124 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2009-08-13 | |
| 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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