Center for Genetic Epidemiology and Statistical Genetics

Center Director: Eden Martin, Ph.D.

Dr. Martin is a statistical geneticist with experience in both theoretical methods development and applied research. Her methodological research has focused on statistical methods for mapping complex diseases genes. She developed several popular family-based association methods, including the PDT and APL tests. Most recently, her research has expanded to include analysis of next-generation sequence data. In addition to my methodological work, I have over ten years of experience managing analysis of large genetic studies in Parkinson disease, Alzheimer's disease, and autism.

The CGESG provides state-of-the-art analytic methodology to discover human disease genes. The Center includes faculty researchers with expertise in genetic epidemiology and statistical genetics as they relate to human disease.
CGESG consists of the two following divisions:

A) Division of Genetic Epidemiology:
Division Director, Evadnie Rampersaud, M.S.P.H, Ph.D., which includes the genetic epidemiology core.

Genetic Epidemiology Core
The Genetic Epidemiology Core in the CGESG includes faculty involved in the research of human genetic disease with a focus on analytic approaches. Areas of interest include:

B) Division of Statistical Genetics:
Divison Director, Ren-Hua Chung, Ph.D., which includes the statistical programming core.

Statistical Programming Core
The Statistical Programming Core includes faculty members with research focusing on statistical methods in human genetics studies.