EPID513
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EPID513 - Statistical Genetics for Quantitative Measures
Course ID
006739
Course Description
This course provide the student with the statistical tools to describe variation in quantitative traits, particularly the decomposition of variation into genetic, environmental, and gene by environment interaction components. Convariance (resemblance) between relatives and heritability will be discussed, along with the topics of epistasis, oligogenic and polygenic traits, complex segregation analysis, methods of mapping quantitative trait loci (QTL), and estimation procedures. Microarrays have multiple uses, each of which will be discussed and the corresponding statistical analyses described.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed), GIDP - GENE (Genetics)
Course Requisites
A basic genetic principles course as ANS 213, GENE 433, GENE 533, or GENE 545. A current course on basic statistical principles as GENE 509C or MATH 509C. A course in linear models as MATH 561 and in statistical inference mathematics.
Cross Listed Courses
May be convened with
Component
Lecture
Optional Component
No