Statistical Methods for Detecting Rare Variants Associated with Disease Phenotypes Using Next-Generation Sequencing Data

• Activity Number: 144
• Type: Invited
• Date/Time: Monday, August 2, 2010 : 10:30 AM to 12:20 PM
• Sponsor: International Indian Statistical Association
• Author(s): Xihong Lin*+
• Companies: Harvard School of Public Health
• Keywords: association study ; rare variants ; sequencing data ; score test ; high-dimensional data

Abstract

Next generation sequencing data are becoming rapidly available for examining rare variants associated with disease phenotypes, e.g., the 1000 genome project. However, statistical methods for detecting rare variants are lacking. We propose in this paper a powerful method to analyze rare variants that are associated with disease phenotypes using the next generation sequencing data. The performance of the proposed method is examined using simulation studies and illustrated using a real data example.