JSM 2011 Online Program

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CE_02C	Tue, 8/2/2011, 8:30 AM - 5:00 PM	HQ-Poinciana Salon 2
The Fundamentals of Modern Statistical Genetics — Continuing Education Course
ASA
Instructor(s): Christoph Lange, Harvard University, Nan Laird, Harvard University
This course discusses the statistical models and methods that are used to understand the genetic basis of human disease. Starting with an introduction to the genetic principles and closing with genome-wide association studies, the course introduces the students to how genetic information can be incorporated into statistical models to discover disease genes. The focus of the course is on modern approaches to association analysis, including population substructure, gene-environment interaction and genome-wide association studies. However, the basic concepts of linkage analysis are covered as well. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. No background in genetics is assumed The course is based on the book The Fundamentals of Modern Statistical Genetics, Nan Laird and Christoph Lange, Springer. Expected publication date, January, 2011.

2011 JSM Online Program Home

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