Oral

Recent years have seen evolutions in molecular technologies that enable scientists to collect data at the genomics and proteomics levels. One example is the genome wide association study design where genetic information is collected at up to one million markers for thousands of individuals. This paradigm has led to the discoveries of hundreds of chromosomal regions affecting risks for dozens of common diseases in the past several years. However, there are significant statistical challenges in the analysis and interpretation of these rich data. This session will discuss various statistical issues arising in this context, introduce a number of novel statistical and computational methods, and demonstrate the power of statistical thinking in analyzing these very high dimensional data.

Session Objectives: To describe the challenges of using genomics and proteomics technologies in public health research; To introduce novel statistical methods to address these challenges; To demonstrate the usefulness of these methods in practical public health studies.

CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH)