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

Genome-wide Association Study Variation (astronomy) Summary statistics
DOI: 10.1038/s41467-018-03621-1 Publication Date: 2018-05-02T10:42:16Z
AUTHORS (268)
ABSTRACT
Abstract Scalable, integrative methods to understand mechanisms that link genetic variants with phenotypes are needed. Here we derive a mathematical expression compute PrediXcan (a gene mapping approach) results using summary data (S-PrediXcan) and show its accuracy general robustness misspecified reference sets. We apply this framework 44 GTEx tissues 100+ from GWAS meta-analysis studies, creating growing public catalog of associations seeks capture the effects variation on human phenotypes. Replication in an independent cohort is shown. Most tissue specific, suggesting context specificity trait etiology. Colocalized significant unexpected underscore need for agnostic scanning multiple contexts improve our ability detect causal regulatory mechanisms. Monogenic disease genes enriched among related traits, smaller alterations these may cause spectrum milder
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