Short course announcement:
Using PBAT and FBAT to Analyze Family-Based Association Studies in Genetics
January 24-6, 2005 at the Harvard School of Public Health, Boston MA
Course Organizers: Nan Laird, Christoph Lange, Kristel Van Steen, and Xin Xu.
http://www.biostat.harvard.edu/~clange/default.htm
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 PBAT/FBAT 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 PBAT and FBAT packages. Both packages can be accessed
from the PBAT/FBAT web page
<http://www.biostat.harvard.edu/%7Eclange/default.htm>http://www.biostat.harvard.edu/~clange/default.htm
.
Application, Registration and Fees. The course fee is $150.00; this covers
course materials, three lunches, a course dinner and coffee
breaks. Applications will be accepted on a first come first serve basis;
the course is limited to 50 participants. Please fill out the Registration
Form and return via email to Vickie Beaulieu
(<mailto:[log in to unmask]>[log in to unmask]).
To download the course information and Registration Form, go to:
<http://www.biostat.harvard.edu/%7Eclange/default.htm>http://www.biostat.harvard.edu/~clange/default.htm
Intended audience: This course is intended for epidemiologists, data
analysts, geneticists, clinicians 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.
We will schedule a limited number of presentations from course participants
on their applied work in genetic association. Participants interested in
making a presentation should submit an abstract for a short (20-30 minute)
presentation.
Preliminary Schedule
Monday 1/24
8:00- 8:30 Registrations
8:30-10:00 Basic concepts; the TDT and its generalization
10:00-10:15 Break
10:15-11:00 Examples/Guest Presentations
11:45-12:30 FBAT computer tutorial
12:30-1:30 Lunch
1:30- 3:00 Haplotypes, multiple phenotypes: FBAT-GEE
3:00- 3:15 Break
3:15- 3:45 Examples
3:45- 5:00 Computer tutorial/lab
Tuesday 3/25
8:30-10:00 Study Design Issues: Power and Sample Size; estimating the
effect size
10:00-10:15 Break
10:15-11:00 Guest presentations/examples
11:00-12:30 PBAT Computer tutorial
12:30- 1:30 Lunch
1:30- 3:00 Estimating the conditional mean model and screening
3:00- 3:15 Break
3:15- 3:45 Examples
3:45- 5:00 Computer tutorial/lab
6:00- Course Dinner
Wednesday 3/26
8:30-10:00 More Examples, Guest Presentations
10:00-10:15 Break
10:15-11:45 Special/Advanced topics
11:45-12:30 More Examples, Computer lab
12:30-1:30 Lunch
REGISTRATION FORM:
The Analysis of Family Based Association Studies in Genetics: Using FBAT
and PBAT
January 24-26, 2005, Harvard School of Public Health, Boston MA 02115
Please email completed form to Vickie Beaulieu
(<mailto:[log in to unmask]>[log in to unmask]). Do NOT send
registration fee until your acceptance has been confirmed.
Name:
Affiliation/Address:
Email Address:
Position (e.g. PhD student in Epidemiology, statistician at pharmaceutical
company, Postdoc in Neurology, 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 PBAT and FBAT:
What do you hope to gain from attending this course?
If you are interested in making a presentation on your work, please attach
an abstract.
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