Corinne D. Engelman, MSPH, PhD

Research Area: Epidemiology
Keywords: Aging, Alzheimer’s, Genetic Epidemiology, Obesity, Type 2 Diabetes, Vitamin D


Assistant Professor

Email: cengelman@wisc.edu 


Biography:

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, early cognitive and neurobiological changes consistent with preclinical 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.

One major area of research is on the genetic architecture of vitamin D. Vitamin D deficiency is associated with many adverse health outcomes, including bone diseases, cancers, autoimmune diseases, infectious diseases, type 2 diabetes, hypertension, and heart disease, making vitamin D an important health outcome of interest. Dr. Engelman is studying the genetic, behavioral, and environmental predictors of vitamin D levels in the blood and of the association between vitamin D and other health outcomes, such as obesity and blood pressure, in Caucasians from the Survey of the Health of Wisconsin (SHOW) and the Framingham Heart Study (FHS), as well as African and Hispanic Americans from the multicenter Insulin Resistance Atherosclerosis Study Family Study (IRASFS).  (Download CV)


Affiliations/Associations:

  • American Society of Human Genetics
  • Institute on Aging, University of Wisconsin
  • International Genetic Epidemiology Society
  • International Society to Advance Alzheimer Research and Treatment

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


Select Publications:

James K, Weitzel L, Engelman CD, Zerbe G, Norris JM. 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 2003;4(Suppl 1):S83.

Engelman CD, Brady HL, Baron AE, Norris JM. Comparison between two analytic strategies to detect linkage to obesity with genetically determined age of onset: the Framingham Heart Study. BMC Genetics 2003;4(Suppl 1):S90.

Engelman CD, Fingerlin TE, Langefeld CD, Hicks PJ, Rich SS, Wagenknecht LE, Bowden DW, Norris JM. Genetic and environmental determinants of 25-hydroxyvitamin D and 1,25-dihydroxyvitamin D levels in Hispanic and African Americans. J Clin Endocrinol Metab 2008 Sep;93(9):3381-8.

Maenner MJ, Denlinger LC, Langton AJ, Meyers KJ, Engelman CD, Skinner HG. Detecting interactions in a genome-wide association study of early onset coronary heart disease using random forests. BMC Genetics 2009 (In press).


Courses Taught:

PHS 650: Special Topics: Public Health Genomics
PHS 904: Special Topics in Epidemiology: Genetic Epidemiology
PHS 904: Special Topics in Epidemiology: Analytic Methods in Genetic Epidemiology


Contact Information:

Address:
610 Walnut Street,
1007A WARF

Phone: (608) 265-5491

Fax: (608) 263-2820

Email: cengelman@wisc.edu

Updated On: 
Sat, 04/18/2009
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