| Course ID: | STAT 8090. 3 hours. |
| Course Title: | Statistical Analysis of Genetic Data |
Course
Description: | Methods for analysis of genetic data, with an emphasis on gene
mapping. Topics include quantitative genetics, covariance
between relatives, estimation of genetic parameters, detection
of genetic linkage in crosses and natural populations,
association mapping, and QTL mapping. Emphasis on fitting
models, estimating parameters, and making inferences based on
genetic data. |
| Oasis Title: | STATIST GENETICS |
| Prerequisite: | (STAT 6220 or STAT 4230/6230 or STAT 6315 or STAT 6320 or STAT 6420) and STAT 4510/6510 |
Semester Course
Offered: | Offered spring semester every even-numbered year. |
| Grading System: | A-F (Traditional) |
|
| Course Objectives: | Students will learn methods for statistical analysis of genetic
data. The primary goal is to teach students to think
statistically and mathematically in analyzing the relationship
between genotypic variation and phenotypic variation. The
emphasis is on taking a biological problem, translating it into
a mathematical one via an appropriate set of assumptions,
devising an appropriate hypothesis test and test statistics,
and analyzing the results. Students will learn this thought
process and gain experience in implementing many types of
genetic data analysis, both by hand and by computer. |
| Topical Outline: | Topics include basics of population genetics, quantitative
genetics and partition of genetic variance, coancestry
coefficients and covariance between relatives, detection of
genetic linkage in crosses and in natural populations, numerical
methods for estimation of genetic parameters, linkage
disequilibrium, the transmission-disequilibrium test,
case-control tests, genome-wide association studies, single-QTL
mapping, interval QTL mapping, QTL mapping in natural
populations, and expression QTLs. |