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Activity Number: 386 - Recent Developments in Integrating Multiple-Omics Data in Complex Diseases
Type: Invited
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract #326852 Presentation
Title: A General Framework for Integrating GWAS Data with Molecular Endophenotypes
Author(s): Wei Pan*
Companies: University of Minnesota
Keywords: aSPU; GWAS; TWAS; eQTL; gene expression; methylation

Transcriptome-wide association studies (TWAS) have been proposed to integrate GWAS with eQTL data, alleviating two common problems in GWAS by boosting statistical power and facilitating biological interpretation of GWAS discoveries. Based on a novel reformulation of TWAS, we propose a more general gene-based association testing framework to integrate GWAS individual-level or summary data with other genomic data of intermediate molecular phenotypes, such as gene expression or DNA methylation. The proposed method was applied to several large GWAS datasets to demonstrate its flexibility and effectiveness.

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

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