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Tutorial on Modern Methods for Genetic Association Studies and Fine Mapping of Disease Genes

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3 pages
50. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds) 11. - 15. September 2005 12. Jahrestagung der Deutschen Arbeitsgemeinschaft für Epidemiologie (dae) 14. - 15. September 2005 Freiburg im Breisgau Satellite Tutorial Modern Methods for Genetic Association Studies and Fine Mapping of Disease Genes Professor Duncan C. Thomas, University of Southern California Heidelberg, September 16, 2005 Contents of Course Classical gene discovery is based on linkage analysis (within families), followed by association studies (across families). These basic design and analysis principles have been well established for over a decade, albeit with continual evolution in such areas as multipoint linkage and association analysis, family-based association studies, and genomic control for population stratification. In this tutorial, I will review these basics in the first session, and then focus on some more recent developments. The discovery of haplotype block structure in the human genome has lent momentum to the use of haplotype associations and designs based on selection of a subset of haplotype-tagging SNPs for association studies, particularly for uncovering indirect signals with variants that may not yet have been discovered. The second session will focus on methods for testing and characterizing candidate gene associations, and using densely spaces markers for fine mapping, including ...
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50. Jahrestagung der Deutschen Gesellschaft für Medizinische
Informatik, Biometrie und Epidemiologie (gmds)
11. - 15. September 2005
12. Jahrestagung der Deutschen Arbeitsgemeinschaft für
Epidemiologie (dae)
14. - 15. September 2005
Freiburg im Breisgau
Satellite Tutorial
Modern Methods for Genetic Association Studies
and Fine Mapping of Disease Genes
Professor
Duncan C. Thomas
, University of Southern California
Heidelberg, September 16, 2005
Contents of Course
Classical gene discovery is based on linkage analysis (within families), followed by association studies
(across families).
These basic design and analysis principles have been well established for over a decade,
albeit with continual evolution in such areas as multipoint linkage and association analysis, family-based
association studies, and genomic control for population stratification.
In this tutorial, I will review these basics
in the first session, and then focus on some more recent developments.
The discovery of haplotype block structure in the human genome has lent momentum to the use of haplotype
associations and designs based on selection of a subset of haplotype-tagging SNPs for association studies,
particularly for uncovering indirect signals with variants that may not yet have been discovered.
The second
session will focus on methods for testing and characterizing candidate gene associations, and using densely
spaces markers for fine mapping, including haplotype association and haplotype sharing methods and gene-
environment or gene-gene interactions.
The field of molecular epidemiology is also rapidly moving from the stage of considering single genes one-at-
a-time (or in pair wise combinations with each other or with a single environmental factor) towards
consideration of entire pathways involving many genes and environmental factors in combination.
Study
designs and analysis methods for attacking such pathway-driven research are still in their infancy, however.
Finally, recent genotyping technology advances have now made it possible to consider genome-wide
association scans involving, say, 600,000 SNPs on large case-control samples.
Again, cost-efficient study
designs and analysis methods that would extract the maximum possible information out of such studies are
an active area of research.
These two topics will be addressed in the third session.
Course lecturer
Duncan C Thomas is Professor and Director of the Biostatistics Division, Verna Richter Chair in Cancer
Research, Department of Preventive Medicine, the University of Southern California Keck School of Medicine
His research interests include the development of statistical methods in epidemiology, with special emphasis
on cancer epidemiology and occupational and environmental health. He is also developing statistical
methods for genetic epidemiology, especially for studies of the relationship of gene-environment interactions
to diabetes, breast cancer, and other cancers. He recently wrote a book on 'Statistical Methods in Genetic
Epidemiology’ published 2004 by the Oxford University Press.
Registration:
Friday, September 16, 2005 at 8:00 a.m.
Time Course:
8:30 a.m. – 3:00 p.m.
Under the patronage of the
German Epidemiological Association (DAE)
German Research Foundation (DFG)
Financially supported by:
DFG (Graduiertenkolleg 793)
Organized by:
Prof. Dr. Jenny Chang-Claude
Deutsches Krebsforschungszentrum
Abteilung Klinische Epidemiologie
Im Neuenheimer Feld 280
D- 69120 Heidelberg
e-mail:
j.chang-claude@dkfz.de
Administrative staff and contact address:
Elke Braun-van der Hoeven
Universität Heidelberg
Sekretariat, Graduiertenkolleg 793
Im Neuenheimer Feld 324
D- 69120 Heidelberg
e-mail: elke.braun@urz.uni-heidelberg.de
Application Deadline:
July 31, 2005
Number of participants:
max. 35
Course language
:
English
Course Fees
:
60€
regular fee
50€
DAE members
30€
Students (certificate needed)
The course fee includes course material and refreshments during the course.
Ceritificate of Attendance
:
Each participant will receive a certificate of attendance.
Venue
:
Deutsches Krebsforschungszentrum Heidelberg (DKFZ),
Großer Seminarraum der ATV
Im Neuenheimer Feld 242, 69120 Heidelberg
Sitemap:
http://www.dkfz.de/de/dkfz/anfahrt.html
Registration Form
Tutorial: “
Modern Methods for Genetic Association Studies and Fine Mapping of Disease Genes
by Professor Duncan C. Thomas, University of Southern California
Heidelberg, September 16, 2005
I wish to participate in the course
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Fax or e-mail to:
Elke Braun-van der Hoeven
Universität Heidelberg
Sekretariat, Graduiertenkolleg 793
Im Neuenheimer Feld 324
D- 69120 Heidelberg
e-mail: elke.braun@urz.uni-heidelberg.de
fax:
+49-+6221-565948
Banking account:
Account Nr.: 5302780100
Bank:
Baden-Württembergische Bank Heidelberg
BLZ:
672 200 20
Attention:
D10081970
For international money transfer
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IBAN DE52672200205302780100
SWIFT/BIC: BWBKDE6S672
Cancellation of registration: an administrative fee of 20,-- €
will be retained from the
money transferred back to the applicant.
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