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Corinne D. Engelman is an
Assistant Professor of Population Health Sciences. She received both her MSPH
and PhD in Epidemiology from the University of Colorado Health Sciences Center.
Dr. Engelman is a genetic
epidemiologist interested in complex diseases and quantitative traits of aging
such as type 2 diabetes, insulin resistance, obesity, hypertension, Alzheimer’s,
and vitamin D deficiency. She is
particularly interested in gene-gene and gene-environment interactions and
methodologic approaches to studying the genetic contribution to complex
phenotypes.
She is a scientist for the Survey of the Health of Wisconsin (SHOW), offering
consulting on genetic issues with plans to initiate ancillary studies of the
SHOW.
Her current research focuses
on environmental, behavioral and genetic predictors of vitamin D levels and the
association between blood levels of vitamin D as well as vitamin D genes and
insulin secretion, insulin resistance, obesity and hypertension in African and
Hispanic Americans from the multicenter IRAS Family Study.
Dr. Engelman is also
involved in the Wisconsin Registry for Alzheimer’s Prevention (WRAP). Her focus
in WRAP is the genetic determinants of early cognitive and neurobiological
changes consistent with preclinical Alzheimer’s disease.
Affiliations/Associations:
American Diabetes Association
Institute on Aging, University of Wisconsin
International Genetic Epidemiology Society
Society for Epidemiologic Research
Recent Honors/Awards:
Public Health/Epidemiology
Traineeship, 2001
University of Alabama at Birmingham Short Course
in Statistical Genetics Scholarship, 2003
Society of Epidemiologic Research Student
Workshop Scholarship, 2005
Teaching Academy Summer Institute Award, 2007
Representative Publications:
Engelman CD,
Brady HL, Baron AE, Norris JM (2003). Comparison between two analytic
strategies to detect linkage to obesity with genetically determined age of
onset: The Framingham Heart Study, BMC Genetics 4(Suppl 1):S90.
James K, Weitzel L, Engelman CD,
Zerbe G, Norris JM (2003). The Use of Linear Mixed Models for
Phenotype Identification in a Genetic Linkage Study. Genome Scan Linkage Results
for Longitudinal Systolic Blood Pressure Phenotypes in Subjects from the
Framingham Heart Study, BMC Genetics 4(Suppl 1):S83.
Courses Taught
PHS 904:
Special Topics in Epidemiology: Genetic Epidemiology
PHS 904: Special Topics in
Epidemiology: Analytic Methods in Genetic Epidemiology
Contact Information
Corinne D. Engelman, MSPH,
PhD
Department of Population Health Sciences
1007A WARF Building
610 Walnut Street
Madison, WI 53726-2397 USA
Phone: (608) 265-5491
Fax: (608) 263-2820
Email:
cengelman@wisc.edu
Updated 12/13/07
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