This is a continuation of the reading course offered in Fall 1998.
The primary topic will be quantitative trait loci (QTLs), using Liu's book
as a guide, but drawing on other sources. Note that there will not be
a formal course in Fall 1999, but there may be a course in Statistical
Issues for Human Genetics in Spring 2000. Further, there is talk of a
formal course on Statistical Genetics for Breeding Systems (this
course) for the following academic year.
Return to U WI Statistics Home Page.
First Meeting Friday 22 January, 11am, room 351 Plant Sciences
Credits 1 (participate/present chapters) or 2 (extra project)
Class Number Stat 698 (Cr/NC) or Stat 699 (A-F)
Class Hours once per week, 75min per class
World Wide Web http://www.stat.wisc.edu/~yandell/statgen/
Instructor Brian Yandell, 4367 CSSC, 262-1157
yandell@stat.wisc.edu
Interested students should send email to
yandell@stat.wisc.edu so that we can anticipate class size. Please indicate
(briefly) your statistical and biological background,
in terms of courses, degrees or practical experience. If you want to register,
I will need your ID number.
The objective of this course is to familiarize students with
state-of-the-art statistical methods for analyzing experiments
involving genomic data in the form of molecular markers,
genetic linkage maps and complex phenotypic (quantitative) traits.
This is sometimes termed statistical genetics or classical genomics.
Construction and comparison of linkage maps, and use
of such maps to infer quantitative trait loci (QTL) will be covered.
Issues involving whole-genome analysis will be highlighted.
Biology students should have a year sequence in statistical methods
(Stat/For/Hort 571-572 or equivalent) and a readiness to learn.
Statistics students should have an appreciation for data analysis in
biology. A general introduction to concepts of Mendelian inheritance
is assumed (Genetics 466 or equivalent).
This course is not on the books and has never been taught.
However, we are starting a reading course beginning this Fall 1998 using
Ben Hui Liu's new
book,
Statistical Genomics.
Consult his web page (http://www4.ncsu.edu/~benliu/) for
features,
table of contents,
and how to order.
While the title includes the term genomics, the focus of this book and this
reading course is on classical genomics, often referred to as
statistical genetics. Genome informatics is an important
topic area that is beyond our scope (and not covered in this book either).
Several students have requested such a course, and we have started to organize this
as a reading course for 1998-99. The plan as currently envisioned is to read through
the first half (ch. 1-11) this Fall, and continue with QTL mapping (ch. 12-17, 19) in
the Spring. I think we can handle 10-40 students. Course number (either 875 or 698/699)
and department (stat? hort?) is being worked out. Some faculty in PBPG, animal breeding
and genetics, and statistics/biostatistics
have expressed interest in participating at some level. It is expected that students
have a decent stat background (571-572) and some exposure to genetics (466).
Many students want to learn about computer tools (ch. 18). Our intent is to introduce
some of these about the middle of the Fall, and encourage hands-on projects.
Volunteers to help load software are appreciated.
Please note that this constitutes an overload, but that many faculty
recognize the need for such a course.
If you are interested please email
yandell@stat.wisc.edu.
Last modified: Mon Feb 8 14:03:04 1999 by Brian Yandell
(yandell@stat.wisc.edu)