JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 291
Type: Invited
Date/Time: Tuesday, August 11, 2015 : 8:30 AM to 10:20 AM
Sponsor: International Chinese Statistical Association
Abstract #314515
Title: Analysis for Multiple Phenotypes in Genome-Wide Association Studies
Author(s): Xihong Lin* and Zhonghua Liu
Companies: Harvard School of Public Health and Harvard University
Keywords: GWAS ; multiple phenotypes ; dimension reduction ; correlation ; hypothesis testing
Abstract:

There is increasing interest in the joint analysis of multiple phenotypes in genome-wide association studies (GWASs). Multiple phenotypes might share a common genetic basis, referred to as pleiotropy in genetics. Such analysis faces several challenges: Multiple phenotypes might be correlated and are of possible high dimension. An SNP might affect only a subset of SNPs. Several approaches have been proposed to analyze multiple phenotypes, using standard multivariate analysis, dimension reduction using PCA, and variance-component based methods. We will examine analytically the factors that affect the performance of these methods, and develop omnibus robust tests that can be powerful in different scenarios. We conduct extensive simulation studies to evaluate the performance of the methods, and apply these methods to a genome-wide association study of plasma lipids levels and identify numerous novel genetic variants that conventional single-trait analysis approaches failed to discover.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home