Broadly the class has three main topic areas:
Topic 1: Inferences from population data,
at one or several loci (including haplotyping issues etc.)
Topic 2: gene identity by descent, and its use in sib pair analyses etc.
Topic 3: linkage analysis and probabilities on pedigrees
There are not hard dividing lines -- the division is just supposed to guide
your thinking.
Topic 3 has most scope, but is less easy for
those not already familiar with some of these ideas, unless they are willing
to read ahead.
Here is a list of papers (PDF). It has not been updated with more recent papers, of which there are several suitable. Note, for ease of updating etc, I have just made a rough list (first 3 pages), and then used bibtex to create the list of full references (last 4 pages).
Any additional suggestions or requests may be sent to me by email.
Format for report
Your report should be no more than the equivalent of six single-spaced typed
pages. It should contain an introduction, a description of what the paper
does, and how this fits into the broader content of work in Statistical
Genetics. Your report should also have a conclusion.
I would expect it to
contain (a few) citations to other papers.
If it does, these should be properly cited, and there should be
a bibliography (for which you may use an additional half-page, if necessary).
If necessary, your report may have appendix material beyond the
main 6.5 pages, but lengthy appendices will be disregarded.
Alternatively you may choose to do
A computing simulation study or data analysis project.
Various software is, or can be, made
available, or you can write your own program. Same idea, and same
report format. Summarize
the analyses, their objectives, your results, and what they tell us
about the broader picture.
IMPORTANT NOTE: It will not be possible
to give much advice or help to those doing this option.
If you know what you want
to do, and can do it, you are welcome to email me your proposal to get
it approved, but please note that after that
you are on your own.
| UW - Statistics: Wednesday, 24-Jul-19 | Contact: Elizabeth Thompson <eathomp@u.washington.edu> |