Evidence map›Paper›PMID 32075962›Full record

ArticleNature communications2020

Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants.

Margaret K R Donovan, Agnieszka D'Antonio-Chronowska, Matteo D'Antonio, Kelly A Frazer

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 90 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 2 pooled it
8.3field-weighted citation impact, top 1% of its field
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

90 citing papers in PubMed, 2 syntheses or guidelines pooled it, 132 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026
    Review
  10. Article
  11. Article
  12. Cross-tissue enrichment patterns reveal functional clustering in normal human tissues from GTEx.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Cognitive resilience to Alzheimer's disease characterized by cell-type abundance.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Margaret K R DonovanBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, 92093, USA.
Agnieszka D'Antonio-ChronowskaDepartment of Pediatrics and Rady Children's Hospital, University of California, San Diego, La Jolla, CA, 92093, USA.
Matteo D'AntonioDepartment of Pediatrics and Rady Children's Hospital, University of California, San Diego, La Jolla, CA, 92093, USA. madantonio@health.ucsd.edu.ORCID http://orcid.org/0000-0001-5844-6433
Kelly A FrazerDepartment of Pediatrics and Rady Children's Hospital, University of California, San Diego, La Jolla, CA, 92093, USA. kafrazer@health.ucsd.edu.ORCID http://orcid.org/0000-0002-6060-8902
University of California San Diego · US

Funding

REGULATORY GENOMIC STUDIES IN A COHORT OF IPS CELL DERIVED CARDIOMYOCYTESU01HL107442 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EVANS, SYLVIA M, FRAZER, KELLY A · 2011 to 2016
$9.8M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Functional Analysis of T2D Associated Non-coding SNPsU01DK105541 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI FRAZER, KELLY A, REN, BING · 2015 to 2019
$4.6M
Fine-mapping and functional analysis of T1D-associated variantsDP3DK112155 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRAZER, KELLY A, SANDER, MAIKE · 2016 to 2016
$3.3M
Commercialization of HaploSeq as a Service (HaaS) for generating chromosome-span phased genome and exome sequence informationR44HG008118 · NHGRI · ARIMA GENOMICS, INC. · PI DIXON, JESSE R, LAURENT, LOUISE CHANG · 2018 to 2019
$1.7M
Optimizing HaploSeq for whole-genome phased haplotypes in biomedical applicationsR41HG008118 · NHGRI · ARIMA GENOMICS, LLC · PI FRAZER, KELLY A, HEINTZMAN, NATE · 2015 to 2016
$822k
NHGRI NIH HHS R41 HG008118NHGRI NIH HHS R44 HG008118NHLBI NIH HHS U01 HL107442NIDDK NIH HHS DP3 DK112155NIDDK NIH HHS U01 DK105541NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different cell types. Here, using gene expression signatures obtained from mouse cell types, we deconvolute bulk RNA-seq samples from 28 GTEx tissues to quantify cellular composition, which reveals striking heterogeneity across these samples. Conducting eQTL analyses for GTEx liver and skin samples using cell composition estimates as interaction terms, we identify thousands of genetic associations that are cell-type-associated. The skin cell-type associated eQTLs colocalize with skin diseases, indicating that variants which influence gene expression in distinct skin cell types play important roles in traits and disease. Our study provides a framework to estimate the cellular composition of GTEx tissues enabling the functional characterization of human genetic variation that impacts gene expression in cell-type-specific manners.

Indexed as

Genetic Predisposition to DiseaseAnimalsGene Expression ProfilingGenetic VariationGenomeGenotypeHumansLiverMiceOrgan SpecificityPhenotypeQuantitative Trait LociSkinTranscriptome

Identifiers

PMID32075962
PMCPMC7031340
OpenAlexW3008983522

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.