Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

Volume: 9, Issue: 1, Pages: 1825 - 1825
Published: May 8, 2018
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
Volume
9
Issue
1
Pages
1825 - 1825
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