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Rockefeller University
Weiss Building (Room 302) 1230 York Avenue, New York |
Basic Association and Linkage Course Rockefeller University, New York July 19-23, 2010 |
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| Application Form | |
| application form in WORD or plain text | |
| Course Description | |
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This course is mainly focused on strategies for genetic mapping of human disease genes.
The course is for researchers with little or no experience in using statistical genetic
analysis programs. A basic knowledge of association and linkage analyses is, however,
required. Starting with this year, there will be a major shift in emphasis in the course.
The primary focus of the course will now be association analysis methods,
with 1 and 1/2 days spent discussing linkage.
Topics include: Introduction to association analysis; practical aspects of data collection; basic statistics for performing population-based and family-based association analyses; strategies and methods of association analysis; genetic heterogeneity; power and sample size calculations for population-based and family-based association; population stratification; genomic resources for gene mapping; introduction to computer simulation; and sex-linked and autosomal inheritance. The major part of the course will consist of carrying out exercises for a simulated data set using different statistical genetic analysis programs. The course will take place in the teaching room of the Weiss Building at Rockefeller University, which is equipped with desktop PCs. The number of participants is limited to 30. Please be advised that participants will have to share the PCs when working on the practical exercises. For additional information, please contact Katherine Montague: email: katherine.montague@rockefeller.edu, Tel: +1 (212) 327-7979 or Fax: +1 (212) 327-7996. Applications are accepted any time after the course announcement, however, participants are generally accepted on a "first come, first served" basis. We usually receive many more applications that we can accept, so you should apply as soon as possible. Since we sometimes have cancellations, we encourage you to apply at any time, but your chances are reduced if you apply late. We will provide up to 3 full tuition scholarships to graduate students. Please indicate your interest in receiving a scholarship when you submit your application. The scholarships will be awarded on the basic of need and require a letter of support from your mentor. |
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| Course Fee | |
| The fee for the 5-day-course is $1000 for researchers at an academic institution, and $1500 for individuals from private (for profit) companies. Send no money now. Applicants accepted for the course will receive payment instructions. As there is presently no support for this course from sources other than the course fee, no reduction of the cost to applicants is possible. This fee covers tuition and course related expenses (handouts, etc.) but not room, board or meals. Course participants will receive a list of good and moderately priced hotels ($100+) in New York and will have to make t heir own arrangements (except foreign participants). | |
| Course Instructors and Schedule | |
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Each session will start with a theoretical introduction followed by practical exercises
with several different computer programs. Instructors for the course will be Jurg
Ott, Marcella Devoto, Derek Gordon, Tara Matise, Robert Klein, Mark Levenstien and
Douglas Londono. Be sure to bring a calculator, and some blank disks in case you
wish to copy programs and course data files. Also, you may want to bring data
sets for discussion and/or analysis.
The course starts at 9:00 am in Room 302 of the Weiss Building on the Rockefeller
University campus. Go to main entrance at 1230 York Avenue and 66th Street.
The guard will show you where to go.
Morning sessions will usually go from 9:00 am to 12:30 pm, and afternoon from 1:30 pm to 5:00 pm, but there may be slight variations (+/- ½ hour) in the time the morning session ends and the afternoon session begins. We'll have a 1-hour break for lunch every day. We'll also take a 10-15 minutes coffee break every day in the morning usually between 10:15 and 11:15, and in the afternoon between 3:00 and 4:00.
MONDAY, July 19
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PM TUESDAY, July 20
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PM WEDNESDAY, July 21
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PM THURSDAY, July 22
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PM FRIDAY, July 23
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PM |
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