Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.
Abstract
Scalable, integrative methods to understand mechanisms that link genetic variants with phenotypes are needed. Here we derive a mathematical expression to compute PrediXcan (a gene mapping approach) results using summary data (S-PrediXcan) and show its accuracy and general robustness to misspecified reference sets. We apply this framework to 44 GTEx tissues and 100+ phenotypes from GWAS and meta-analysis studies, creating a growing public catalog...
Paper Details
Title
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.
Published Date
May 8, 2018
Journal
Volume
9
Issue
1
Pages
1825 - 1825
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