Visiting Scholars Seminar Series :
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Visiting Scholars Seminar Series - 2006-2007
Spotlighting the Research of EGRP- funded grantees
The speakers during academic year 2006-2007 include:
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Seminar Series Contact:
Leah Sansbury, Ph.D., M.S.P.H.
phone: 301-435-4910 |
Monday, June 4, 2007
Noon – 1:00
p.m.
Executive Plaza North
6130 Executive Blvd.
Conference Room H
Rockville, Md. |
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Beyond heritability: Using twins
to study immune phenotypes for chronic disease
Wendy Cozen, D.O., M.P.H.
Associate Professor of Research
Keck School of Medicine
University of Southern California |
Monday, May 21, 2007
Noon – 1:00
p.m.
6116 Executive Blvd.
Conference Room 210
Rockville, Md. |
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Chronic Inflammation and the Microenvironment
of the Cancer Cell: Etiology, Pathogenesis and the Basis for
Preventive Interventions
David Schottenfeld, M.D., M.S.
John G. Searle Professor Emeritus
of Epidemiology
Professor of Internal Medicine
University of Michigan School of Public
Health
A causal link between chronic inflammation and carcinogenesis
will be explored by reviewing illustrative examples of cancers
in the gastrointestinal tract, and causal agents and mechanisms.
Recurrent or persistent inflammation may induce, promote, or influence
susceptibility to carcinogenesis by causing DNA damage, inciting
tissue reparative proliferation, and/or by creating a stromal "soil" that
is enriched with cytokines and growth factors. Future research
on the complex cascade of cellular and humoral factors participating
in the chronic inflammatory process may further understanding of
the pathogenesis of cancer in a more universal context, and provide
a rationale for targeted preventive interventions.
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Monday, April 23,
2007
Noon– 1:00 p.m.
Executive Plaza North
6130 Executive Blvd.
Conference Room G
Rockville, Md. |
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The NIH Peer Review Process
Denise Wiesch, M.P.H., Ph.D.
Scientific Review Administrator
Center for Scientific Review
National Institutes of Health
Dr. Denise Wiesch is the Scientific Review Administrator for the
Center for Scientific Review’s (CSR) Epidemiology of Cancer
Study Section (EPIC) and a referral officer in CSR’s Division
of Receipt and Referral. Dr. Wiesch earned a M.P.H. and a
Ph.D. in genetic epidemiology from Johns Hopkins University and
she subsequently joined the Center for the Genetics of Complex
Diseases at the University of Maryland at Baltimore. Her
research focused on the genetic epidemiology of allergy and asthma
in occupational settings. Dr. Wiesch has spent much of her career
at NIH where she has worked in the intramural research programs
at NHLBI, NICHD, and NIMH and also for the National Library of
Medicine. Prior to joining CSR, Dr. Wiesch was a program
officer at NIAID’s Division of Allergy, Immunology, and Transplantation. She
directed the clinical research program in primary immune deficiency
diseases as well as part of the autoimmune disease research program.
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Monday, January
8, 2007
Noon -1:00 p.m.
Executive Plaza North
6130 Executive Boulevard
Conference Room G
Rockville, Md. |
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Inflammation and Ovarian Cancer From an Epidemiologist's
Perspective
Roberta B. Ness, M.D., M.P.H.
Chair, Department of Epidemiology
Professor of Epidemiology, Medicine and Ob/Gyn
Graduate School of Public Health
University of Pittsburgh
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Tuesday,
December 5, 2006
2:00 -3:00 p.m.
Executive Plaza North
6130 Executive Boulevard
Conference Room J
Rockville, Md. |
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Vitamin D and Colorectal Cancer
Edward
Giovannucci, M.D., Sc.D.
Professor, Nutrition and Epidemilogy
Harvard School of Public Health |
Monday,
November 20, 2006
Noon - 1 p.m.
Executive Plaza North
6130 Executive Boulevard
Conference Room G
Rockville, Md. |
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Semiparametric Methods for Gene-Environment
Case-Control Studies
Raymond J. Carroll,
Ph.D.
Distinguished Professor of Statistics and Nutrition
Department of Statistics
Texas A&M University
We consider population-based case-control studies of gene and
environment interactions using prospective logistic regression
models. In a typical case-control study, neither the intercept
of the logistic regression nor the population probability of
disease can be identified. However, in many cases it is reasonable
to assume that genotype and environment are independent in the
population, possibly conditional on covariates to account for
population stratification. In such a case, we show that the intercept
and population probability of disease are identified. We develop
a modern semiparametric likelihood approach for this problem,
showing that it leads to much more efficient estimates of gene-environment
interaction parameters and then gene main effect than the standard
approach: decreases of standard errors for the former are often
by factors of 50% and more.
In addition, if the probability of disease is known in the population,
we show efficiency gains for estimating gene-environment interactions,
again in contrast to the standard approach. Multiple extensions
are discussed, with applications to an important data set involving
BRCA 1/2. The most important extensions are to the problems of
missing genotype data (our example) and unphased haplotype data.
This is joint work with Nilanjan Chatterjee, Ph.D., senior investigator
in NCI’s Division of Cancer Epidemiology and Genetics.
Dr. Carroll is an NCI Method to Extend Research in Time (MERIT)
Award winner. The award provided him with an additional 5 years
of funding for his research. MERIT Awards are given to investigators
who have Research Project Grants (R01), whose competence and productivity
are distinctly superior, and who are likely to continue to perform
in an outstanding manner. Recipients are nominated by NCI staff
and approved by the National Cancer Advisory Board.
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Monday,
October 30, 2006
Noon - 1 p.m.
Executive Plaza North
6130 Executive Boulevard
Conference Room G
Rockville, Md. |
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Genetic Epidemiologic Approaches to Elucidate
Ovarian Cancer Susceptibility
Thomas A. Sellers, Ph.D.
Associate Center Director, Cancer Prevention and Control
H. Lee Moffitt Cancer Center & Research Institute
University of South Florida
Several lines of evidence suggest that ovarian cancer has a
genetic component. In addition to several rare single gene mutations
that confer high risk, it is hypothesized that common genetic
polymorphisms that each confer smaller risks exist. This talk
will cover epidemiologic approaches to identify these genetic
risk factors, including candidate genes, pathways, and genome
screens.
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