CGESG Overview

The Center for Genetic Epidemiology and Statistical Genetics (CGESG) at the John P. Hussman Institute for Human Genomics includes faculty and staff who are leaders in computational genetics and conduct cutting edge research methods to discover and map the genes responsible for diseases in families and in populations.

The center pulls together expertise in:

  • Genetic epidemiology
  • Statistical genetics
  • Bioinformatics
  • Statistical programming

The CGESG is led by Director, Eden R. Martin, Ph.D., a statistical geneticist with experience in theoretical methods development and applied research. Her research has focused on the use of statistical methods for mapping complex human disease genes. Her experience extends over 15 years of managing analysis of large genetic studies in Parkinson disease, Alzheimer’s disease, and autism. In addition she works on studies of chronic pain syndromes and genetic aspects of early childhood communication and development. Dr. Martin is known for her development of several popular family-based association methods, and most recently her research has expanded to include analysis of next-generation sequence data. She is also involved in population genetic studies examining genetic diversity in Latino populations and the impact of this diversity on disease-gene mapping studies.