- 期刊
Statistical Methods for Mapping Genes Controlling Quantitative Traits in Experimental Populations
並列摘要
The advent of molecular genetic marker data paves the way for the study if detecting and locating (mapping) genes affecting quantitative traits (quantitative trait loci, QTL). In mapping QTL, the genetic properties of the gene segregation and recombination, and the quantitative trait, which is usually governed by multiple genes and affected by environments, can be well characterized by statistical principles, and statistical analyses have been played a very important role in QTL mapping. In practice, the result of QTL mapping will be applied to marker-assisted selection or gene transfer for trait improvement. Therefore, the keys to ensure an efficient trait improvement depend not only on the careful operations on the organisms in the laboratory but also on the implementation of appropriate statistical methods in data analysis. In this paper, the statistical methods for QTL mapping are introduced, reviewed and discussed.
延伸閱讀
- 梁家瑋（2019）。A Study on Statistical Methods for Genomic Selection〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201904153
- 鄭榕鈺、曾信嘉（2009）。Semiparametric Inference on Haplotype and Environmental Effects in Genetic Association Studies。作物、環境與生物資訊，6(2)，73-86。https://doi.org/10.30061/CEB.200906.0001
- Chuang, C. H. (2006). Two-stage clustering method for identifying transcriptional regulatory sites based on gene expression profiles [master's thesis, National Central University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917341944
- Yang, Q., & Wang, Y. (2012). Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies. Journal of Probability and Statistics, 2012(), 528-540. https://doi.org/10.1155/2012/652569
- Chiu, H. S. (2004). Identifying Significant Transcriptional Modules by Genetic Algorithms from Gene Expression Data [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2004.00675