Evidence map›Paper›PMID 32917697›Full record

ArticleScience advances2020

PhenomeXcan: Mapping the genome to the phenome through the transcriptome.

Milton Pividori, Padma S Rajagopal, Alvaro Barbeira, Yanyu Liang, Owen Melia, Lisa Bastarache, YoSon Park, GTEx Consortium, Xiaoquan Wen, Hae K Im

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Context-specific genetic effects inform endotypes and treatment in asthma.The Journal of allergy and clinical immunology · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Integrative omics and multi-cohort identifyJournal of biomedical research · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Milton PividoriSection of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-3035-4403
Padma S RajagopalSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-0489-0819
Alvaro BarbeiraSection of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-9153-6120
Yanyu LiangSection of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0001-8893-6505
Owen MeliaSection of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0003-0737-3718
Lisa BastaracheDepartment of Biomedical Informatics, Department of Medicine, Vanderbilt University, Nashville, TN, USA.
YoSon ParkDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-0465-4744
GTEx Consortium
Xiaoquan WenDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA. xwen@umich.edu haky@uchicago.edu.ORCID 0000-0001-8990-2737
Hae K ImSection of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA. xwen@umich.edu haky@uchicago.edu.ORCID 0000-0003-0333-5685

Funding

New York Center for Collaborative Research In Common Disease Genomics: Genome Aggregation and Joint Variant Calling for CCDG Freeze2UM1HG008901 · NHGRI · NEW YORK GENOME CENTER · PI MANIATIS, THOMAS P, WIGLER, MICHAEL H · 2016 to 2020
$56.6M
The UCSC Genome BrowserU41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2012 to 2021
$36.6M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Scripps Translational Science InstituteUL1TR002550 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2018 to 2022
$28.9M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Matthew J Brady · 2013 to 2026
$20.9M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Genome analysis: statistical methods and applicationsR01HG002585 · NHGRI · UNIVERSITY OF WASHINGTON · PI MATTHEW STEPHENS · 2002 to 2026
$8.4M
Structurally complex genome loci in human populations and human phenotypesR01HG006855 · NHGRI · HARVARD MEDICAL SCHOOL · PI Steven Andrew McCarroll · 2012 to 2026
$8.2M
A portal and integrative collaborative analysis platform for GTExU41HG009494 · NHGRI · BROAD INSTITUTE, INC. · PI ARDLIE, KRISTIN, GETZ, GAD A · 2017 to 2021
$5.2M
Statistical models for fine-mapping and interpretation of schizophrenia-associated lociR01MH106842 · NIMH · NEW YORK GENOME CENTER · PI BUSSEMAKER, HARMEN J, LAPPALAINEN, TUULI · 2015 to 2024
$5.0M
Strategic mapping of tissue and population methylation for mental health researchU01MH104393 · NIMH · JOHNS HOPKINS UNIVERSITY · PI FEINBERG, ANDREW P. · 2014 to 2016
$3.9M
LIMBIC &MEDULLARY MECH. IN COCAINE-RELATED SUDDEN DEATHR01DA006227 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MASH, DEBORAH C. · 1990 to 2012
$3.7M
CCR NIH HHS HHSN261200800001CNCATS NIH HHS UL1 TR000430NCATS NIH HHS UL1 TR002550NCI NIH HHS HHSN261200800001ENHGRI NIH HHS 5U41 HG009494NHGRI NIH HHS F32 HG009987NHGRI NIH HHS K99 HG009916NHGRI NIH HHS R01 HG002585NHGRI NIH HHS R01 HG006855NHGRI NIH HHS R01 HG008150NHGRI NIH HHS R01 HG010067NHGRI NIH HHS R01 HG010480NHGRI NIH HHS R35 HG010718NHGRI NIH HHS T32 HG000044NHGRI NIH HHS U01 HG007593NHGRI NIH HHS U01 HG007598NHGRI NIH HHS U41 HG002371NHGRI NIH HHS U41 HG009494NHGRI NIH HHS UM1 HG008901NHLBI NIH HHS F32 HL009987NHLBI NIH HHS HHSN268201000029CNHLBI NIH HHS R01 HL090941NHLBI NIH HHS R01 HL090951NHLBI NIH HHS R01 HL142028NICHD NIH HHS R21 HD106842NIDA NIH HHS R01 DA006227NIDDK NIH HHS P30 DK020595NIDDK NIH HHS T32 DK110919NIGMS NIH HHS R01 GM122924NIGMS NIH HHS R01 GM124486NIGMS NIH HHS R35 GM138121NIMH NIH HHS R01 MH090936NIMH NIH HHS R01 MH090937NIMH NIH HHS R01 MH090941NIMH NIH HHS R01 MH090951NIMH NIH HHS R01 MH101814NIMH NIH HHS R01 MH101822NIMH NIH HHS R01 MH106842NIMH NIH HHS R01 MH107666NIMH NIH HHS R01 MH109905NIMH NIH HHS U01 MH104393
6 · The paper itself

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.

Identifiers

PMID32917697
PMCPMC11206444

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.