PhenomeXcan: Mapping the Genome to the Phenome Through the Transcriptome

Overview

Journal Sci Adv

Specialties Biology
Science

Date 2020 Sep 12

PMID 32917697

Citations 71

Authors

Milton Pividori

Padma S Rajagopal

Alvaro Barbeira

Yanyu Liang

Owen Melia

Lisa Bastarache

Yoson Park

GTEx Consortium

Xiaoquan Wen

Hae K Im

Affiliations

Soon will be listed here.

Abstract

Large-scale genomic and transcriptomic initiatives offer unprecedented insight into complex traits, but clinical translation remains limited by variant-level associations without biological context and lack of analytic resources. Our resource, PhenomeXcan, synthesizes 8.87 million variants from genome-wide association study summary statistics on 4091 traits with transcriptomic data from 49 tissues in Genotype-Tissue Expression v8 into a gene-based, queryable platform including 22,515 genes. We developed a novel Bayesian colocalization method, fast enrichment estimation aided colocalization analysis (fastENLOC), to prioritize likely causal gene-trait associations. We successfully replicate associations from the phenome-wide association studies (PheWAS) catalog Online Mendelian Inheritance in Man, and an evidence-based curated gene list. Using PhenomeXcan results, we provide examples of novel and underreported genome-to-phenome associations, complex gene-trait clusters, shared causal genes between common and rare diseases via further integration of PhenomeXcan with ClinVar, and potential therapeutic targets. PhenomeXcan (phenomexcan.org) provides broad, user-friendly access to complex data for translational researchers.

Citing Articles

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