Viewing: GN 757/HS 757/ST 757 : Quantitative Genetics Theory and Methods

Last approved: Fri, 20 Oct 2017 08:02:17 GMT

Last edit: Fri, 20 Oct 2017 08:02:17 GMT

Changes proposed by: szeng
Change Type
Major
GN (Genetics)
757
011107
Dual-Level Course
Cross-listed Course
Yes
Course Prefix:
HS
ST
Quantitative Genetics Theory and Methods
Quant Genetics Theory & Method
College of Sciences
Genetics (17GN)
26.0801
Genetics, General.
Term Offering
Fall Only
Offered Alternate Odd Years
Fall 2017
Previously taught as Special Topics?
No
 
Course Delivery
Face-to-Face (On Campus)

Grading Method
Graded/Audit
3
16
Contact Hours
(Per Week)
Component TypeContact Hours
Lecture3.0
Course Attribute(s)


If your course includes any of the following competencies, check all that apply.
University Competencies

Course Is Repeatable for Credit
No
 
 
Zhao-Bang Zeng
William Neal Reynolds Distinguished Professor
Full

Open when course_delivery = campus OR course_delivery = blended OR course_delivery = flip
Enrollment ComponentPer SemesterPer SectionMultiple Sections?Comments
Lecture2020NoIt is projected to have 10 to 20 graduate students to enroll this course.
Open when course_delivery = distance OR course_delivery = online OR course_delivery = remote
Prerequisite: ST 511
Is the course required or an elective for a Curriculum?
No
The essence of quantitative genetics is to study multiple genes and their relationship to phenotypes. How to study and interpret the relationship between phenotypes and whole genome genotypes in a cohesive framework is the focus of this course. We discuss how to use genomic tools to map quantitative trait loci, how to study epistasis, how to study genetic correlations and genotype-by-environment interactions. We put special emphasis in using genomic data to study and interpret general biological problems, such as adaptation and heterosis. The course is targeted for advanced graduate students interested in using genomic information to study a variety of problems in quantitative genetics.

Previously, this course was labelled as ST and GN 757 to cover primarily statistical methods for gene mapping of quantitative traits. It was targeted for both quantitatively trained students (statistics and bioinformatics) and biologically trained students (genetics, animal and plant breeding). Due to the change of departmental affiliation of instructor, Prof. Zhao-Bang Zeng, from Statistics and Biological Sciences to Horticulture Science, it is proposed to change it to HS, ST and GN 757 with the course content completely revised to focus on theoretical framework and methods to interpret genetics of quantitative traits in a genomic mapping population at a totality. It is targeted primarily to biologically trained students (genetics, animal and plant breeding, bioinformatics). 


No

Is this a GEP Course?
GEP Categories

Humanities Open when gep_category = HUM
Each course in the Humanities category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Mathematical Sciences Open when gep_category = MATH
Each course in the Mathematial Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Natural Sciences Open when gep_category = NATSCI
Each course in the Natural Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Social Sciences Open when gep_category = SOCSCI
Each course in the Social Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Interdisciplinary Perspectives Open when gep_category = INTERDISC
Each course in the Interdisciplinary Perspectives category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Visual & Performing Arts Open when gep_category = VPA
Each course in the Visual and Performing Arts category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Health and Exercise Studies Open when gep_category = HES
Each course in the Health and Exercise Studies category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
&
 

 
 

 
 

 
 

Global Knowledge Open when gep_category = GLOBAL
Each course in the Global Knowledge category of the General Education Program will provide instruction and guidance that help students to achieve objective #1 plus at least one of objectives 2, 3, and 4:
 
 

 
 

 
Please complete at least 1 of the following student objectives.
 

 
 

 
 

 
 

 
 

 
 

US Diversity Open when gep_category = USDIV
Each course in the US Diversity category of the General Education Program will provide instruction and guidance that help students to achieve at least 2 of the following objectives:
Please complete at least 2 of the following student objectives.
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Requisites and Scheduling
 
a. If seats are restricted, describe the restrictions being applied.
 

 
b. Is this restriction listed in the course catalog description for the course?
 

 
List all course pre-requisites, co-requisites, and restrictive statements (ex: Jr standing; Chemistry majors only). If none, state none.
 

 
List any discipline specific background or skills that a student is expected to have prior to taking this course. If none, state none. (ex: ability to analyze historical text; prepare a lesson plan)
 

Additional Information
Complete the following 3 questions or attach a syllabus that includes this information. If a 400-level or dual level course, a syllabus is required.
 
Title and author of any required text or publications.
 

 
Major topics to be covered and required readings including laboratory and studio topics.
 

 
List any required field trips, out of class activities, and/or guest speakers.
 

College(s)Contact NameStatement Summary
The previous course (ST/GN 757) has been taught a number of times. The current course (HS/ST/GN 757) is almost completely revised to reflect the current state of quantitative genetics and research developments and is primarily targeted to biologically trained advanced graduate students. The course content is based on instructor's many years of research and some recent research results.

The essence of quantitative genetics is to study multiple genes and their relationship to phenotypes. How to study and interpret the relationship between phenotypes and whole genome genotypes in a cohesive framework is the focus of this course. We discuss how to use genomic tools to map quantitative trait loci, how to study epistasis, how to study genetic correlations and genotype-by-environment interactions. We put special emphasis in using genomic data to study and interpret general biological problems, such as adaptation and heterosis. The course is targeted for advanced graduate students interested in using genomic information to study a variety of problems in quantitative genetics.


Student Learning Outcomes

By the end of this course, the students will be able to:



  1. Understand the principles to guide us to define the relationship between phenotypes and genotypes of a whole genome.

  2. Use this whole-genome oriented model to analyze publically available data to interpret the relationship between phenotypes and whole-genome genotypes. The analysis includes mapping of multiple QTL on multiple traits, and assessing the importance of whole-genome epistasis.

  3. Use this whole-genome perspective to understand some general biological questions, such as adaptation and heterosis. 


Evaluation MethodWeighting/Points for EachDetails
Written Assignment60%There will be two assignments; these together account for 60% of the total score
Project40%A final project will be assigned and will account for 40% of the total score
TopicTime Devoted to Each TopicActivity
1. Theory and models of multiple genes and epistasis2 weeks
2. How to map quantitative trait loci (QTL) and infer QTL effect distribution5 weeksassignment 1 [see syllabus for details]
3. How to estimate genomic epistasis consistently2.5 weeksProject pre-proposal due [see syllabus for details]
4. How to estimate genetic correlations and genotype-by-environment interaction consistently2.5 weeksAssignment 2 [see syllabus for details]
5. Theory and genomic study of adaptation2 weeks
6. Theory and genomic study of heterosis 2 weeksFinal Project [see syllabus for details]
Comments from instructor on cross-listings: The reason that this course is crossed listed with HS/GN/ST is partly due to the history of this course and partly due to the nature of this course. Long time ago when I was in Statistics Department and this coursed first got started, it was listed as ST 757. Later on due to this course teaches both statistics and quantitative genetics and I had the shared academical appointments with both Statistics and Genetics, this course was changed to be cross listed as ST/GN. Now as I move from Statistics and Biological Science (including Genetics) to Horticultural Science, this course was proposed to be listed as HS and
GN because this course does teach quantitative genetics, GN is only a graduate program and also I want to make this course more suited to biologically trained students, rather than quantitatively trained students. However, in the system, I have to use GN to start the course action process and add HS in the proposal. During the current review process, COS CC committee members Spencer Muse and Alun Lloyd convinced me to add ST back to it, as my research and teaching is still mostly on statistics and genetics. This is how we ended up where we are now.

mlnosbis 8/22/2017:
1) Effective date must be Spring 2018, as this is too late to be approved for Fall 2017.
2) Please include a consultation summary from the DGP for Statistics to indicate that he has reviewed this course action. I see that Alun Lloyd and Spencer Muse reviewed this action at the college level, but the DGP should be included, as well. DGP for ST is Howard Bondell: hdbondel@ncsu.edu. Enter the summary in the consultation summary field of the CIM form. No additional consultation is required because this action routed through both affected colleges.
3) Student learning outcomes on the CIM form do not match those on the syllabus. Student Learning Outcomes should be in list form following the phrase, "By the end of this course, students will be able to...". See attachment about Learning Outcomes Guidelines to revise outcomes.
4) There are no textbooks or course materials indicated on the syllabus. Where will students find the course content and material?
5) Syllabus is missing item #14 from the Graduate Course Syllabus Checklist (attached).

pjharrie 9/1/2017 - if the instructor's home dept is now HS, why didn't this go through CALS as well? There at least needs to be some sort of consult with the HS DGP. There is very little information in the syllabus about what the two assignments (until the very end of the syllabus) and project entail. Also, are there any readings associated with the various topics covered? UPDATE: This did go through CALS, see workflow.

ABGS Reviewer Comments:
-Reading materials could be expanded, but that is not a major issue.
-Change "emphasize" to "emphasis" in several instances in the CAF and syllabus. UPDATED.
mlnosbis (Fri, 24 Feb 2017 13:59:17 GMT): Approved for Trudy Mackay as requested.
allloyd (Tue, 04 Jul 2017 07:33:52 GMT): Passed College of Sciences committee, pending edits, April 2017
szeng (Wed, 13 Sep 2017 21:58:17 GMT): 1) Effective date: It is changed to Spring 2018. 2) Consultation summary from the DGP for Statistics: A request has been sent to ST DGP Howard Bondell: hdbondel@ncsu.edu. However, no response has been received yet. 3) Student learning outcomes: It revised to better define the outcomes. 4) Textbooks or course materials: No formal textbook is adopted. However, extensive teaching materials will be distributed in class. 5) Syllabus is missing item #14: It is added.
mlnosbis (Tue, 19 Sep 2017 18:03:40 GMT): Consultation note from Howard Bondell added to the course action.
Key: 2977
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