課程大綱

課程資訊

課程名稱

遺傳統計學特論I
Special Topics of Statistical Genetics I

開課學期

103-2

授課對象

生物資源暨農學院動物科學技術學研究所

授課教師

林恩仲

課號

AniSci8018

課程識別碼

626 D1120

班次

學分

全/半年

半年

必/選修

選修

上課時間

星期二7,8,9(14:20~17:20)

上課地點

備註

上課教室:加工105室。
總人數上限：15人

Ceiba 課程網頁

http://ceiba.ntu.edu.tw/1032AniSci8018_

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課程概述

Introduction to Mixed Model Equation for estimating variance components and effects of fixed and random effects;
Introduction to Mixed Model Equation with genotypic or allelic effects;
Two different approaches: Pathway and Genome-wide association;

課程目標

This course includes theoretical derivation and practical computing analysis to provide a platform for introducing the statistical methods of quantitative genetics with the related applications to the students who have the basic training in animal breeding.

課程要求

Reading book chapters related to the topics before the classes and working on statistical analyses of quantitative genetics are the main tasks for this course. There will be discussions about the theory and applications during each class.

預期每週課後學習時數

Office Hours

指定閱讀

Introduction to Mixed Modelling Beyond Regression and Analysis of Variance N. W. Galwey Genetic Analysis, GlaxoSmithKline, UK

參考書目

1. Balding, D. J., M. Bishop, and C. Cannings (Editor). 2007. Handbook of Statistical Genetics. Published by Wiley-Interscience. 3rd Edition
2. Barnes, M. R. (Editor). 2007. Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data. Published by Wiley. 2nd Edition

評量方式
(僅供參考)

No.	項目	百分比	說明
1.	Presentation on-class	60%	整理講解不同主題的例子
2.	Practice of example data sets	40%	課堂操作軟體進行統計分析

課程進度

週次	日期	單元主題
第1週	2/24	Introduction to this course and history
第2週	3/03	Mixed Model Equations (basic theory of BLUP)
第3週	3/10	Mixed Model Equations (applications)
第4週	3/17	Variance Component Estimation (basic theory of REML and Least squares methods)
第5週	3/24	Variance Component Estimation (applications of single trait and multiple traits) 1st Presentation of examples
第6週	3/31	Practice I: Mixed Model Equation & Variance Component Estimation
第7週	4/07	Practice II: Mixed Model Equation & Variance Component Estimation
第8週	4/14	Genotype and Phenotype Association (basic theory of linear model)
第9週	4/21	Genotype and Phenotype Association (applications of single locus) 2nd Presentation of examples
第10週	4/28	Practice III: Mixed Model Equation with genotype
第11週	5/05	Practice IV: Mixed Model Equation with allele
第12週	5/12	Pathway analysis and Function target (basic principle)
第13週	5/19	Pathway analysis and Function target (applications) 3rd Presentation of examples
第14週	5/26	Practice V: Mixed Model Equation with genotypes of multiple loci
第15週	6/02	Practice VI: Mixed Model Equation with alleles of multiple loci
第16週	6/09	Genome Wide Scan (basic theory of logistic regression)
第17週	6/16	Genome Wide Scan (applications) 4th Presentation of examples