Short Course in FBAT/PBAT at Harvard School of Public Health
Course Date and Location: June 12-13, 2006 at the Harvard School of Public
Health, Boston MA.
Course Organizers and Faculty: Nan Laird and Christoph Lange. Department of
Biostatistics, Harvard School of Public Health
Description:
The increasing availability of genetic marker data, especially SNP’s, has
made investigations of genetic associations between marker data and disease
commonplace. This course will focus on family based designs for association
studies; these designs use information on affected individuals and their
relatives, most commonly parents and/or siblings. Family based designs are
attractive in that they test for both association and linkage and avoid
difficulties with population stratification and admixture. This course will
give a very brief introduction to the basic concepts of genetic association
in general, and family based designs in particular. The focus of the
course is on the FBAT/PBAT methodology and how to use the packages. The
orientation of the course is practical rather than theoretical. It combines
lectures and computer tutorials with hands on data analysis using the FBAT
and PBAT packages. Both packages can be accessed from the FBAT/PBAT web
pages http://www.biostat.harvard.edu/~clange/default.htm and
http://www.biostat.harvard.edu/~fbat/default.html . A special website will
be created for the course so that all course materials will be available there.
Intended audience: This course is intended for clinicians, epidemiologists,
data analysts, geneticists, and statisticians involved in the analysis of
genetic data. Familiarity with genetic concepts as well as background in
basic statistics at the level of linear/logistic regression is highly
desirable. Participants are encouraged to bring their own data sets; check
the FBAT web page for details on file format. We also strongly recommend
that participants read the manuals before attending the course.
Application, Registration and Fees. The course fee is $350.00; this covers
course materials, coffee breaks and two lunches. An optional course dinner
will be held on Monday night for an additional $50. Applicants will be
accepted on a first come first serve basis; the course is limited to 45
participants. Full time doctoral students may obtain a reduced fee of $150
(plus $50 for the optional course dinner) with a letter certifying student
status from your institution. Please fill out the Registration Form
(Follows Preliminary Schedule Below) and return via email to Jennifer Fitts
([log in to unmask]).
To download the course information and Registration Form, go to one of the
websites listed above.
Application Deadline: May 1, 2006.
Preliminary Schedule
Monday 6/12
8:00- 8:30 Registration
8:30-10:00 Basic concepts I
10:30-10:15 Break
10:30-11:15 Basic concepts II
11:15-12:15 FBAT computer tutorial/Presentation
12:15- 1:15 Lunch
1:15- 2:30 Multiple markers: haplotypes and the multimarker test
2:30- 2:45 Break
2:45- 3:30 Complex phenotypes: Multiple Phenotypes (FBAT GEE) and Time to
Onset: FBAT-LOGRANK
3:30--- FBAT/PBAT Computer tutorial/Presentation
6:00 Optional Course dinner
Tuesday 6/13
8:30-10:00 Screening and model building using the population information:
The conditional mean model. Time to Onset (FBAT-Flemming
Harrington) and Multiple Measures (FBAT-PC)
10:00-10:15 Break
10:15-12:30 PBAT Computer tutorial/ Presentation
12:30- 1:30 Lunch
1:30- 3:00 Whole genome scans; screening with trios
3:00- 3:15 Break
3:15- 5:00 PBAT Computer tutorial/ Presentation
REGISTRATION FORM:
Short Course on FBAT and PBAT
June 12-13, 2006, Harvard School of Public Health, Boston MA 02115
Please email completed form to Jennifer Fitts ([log in to unmask]). Do
NOT send registration fee until your acceptance has been confirmed. Once you
have been accepted, the full fee is required to hold your place. Please
note that once your application has been accepted, you must also send the
optional course dinner fee if dinner is desired. Sorry, but credit cards
cannot be accepted.
Name:
Affiliation/Address:
Email Address:
Position (e.g. M.D. in Psychiatry, Postdoc in Epidemiology, etc.):
Experience in Genetic Analysis, Family-Based Association Studies, etc.:
Previous Coursework in Statistics/Biostatistics:
Other Relevant Experience:
Software packages you are familiar with, INCLUDING FBAT and PBAT:
What do you hope to gain from attending this course?
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